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Li, C. Chinese Herbal Medicine for Depression. Encyclopedia. Available online: https://encyclopedia.pub/entry/6692 (accessed on 21 December 2024).
Li C. Chinese Herbal Medicine for Depression. Encyclopedia. Available at: https://encyclopedia.pub/entry/6692. Accessed December 21, 2024.
Li, Chan. "Chinese Herbal Medicine for Depression" Encyclopedia, https://encyclopedia.pub/entry/6692 (accessed December 21, 2024).
Li, C. (2021, January 22). Chinese Herbal Medicine for Depression. In Encyclopedia. https://encyclopedia.pub/entry/6692
Li, Chan. "Chinese Herbal Medicine for Depression." Encyclopedia. Web. 22 January, 2021.
Chinese Herbal Medicine for Depression
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Depression is a mood disorder that causes a loss of interest and constant sadness. Central nervous system (CNS)-targeted medications alone are insufficient for the treatment of depression. Multidrug and multitarget Chinese Herbal Medicine (CHM) has great potential to assist in the development of novel medications for the systematic and effective pharmacotherapy of depression.

Chinese herbal medicine depression neuroimmune system neuroendocrine system neuroendocrine-immune network neuroinflammation HPA axis

1. Introduction

     Depression is a persistent and recurring mental illness, affecting more than 264 million people of all ages worldwide. It is also a major contributor to the global burden [1] and a leading cause of elevated disability [2]. Depression is clinically characterized by repeated depressive episodes, including anhedonia, insomnia, decreased speech, loss of interest and enjoyment, helplessness, and decreased energy [3]. Most researchers view depression as a multigenetic and multifactorial syndrome, which results from the complicated interplay of environmental and genetic factors and presents comorbidity with other diseases [4].

     While current antidepressant medications, such as selective monoamine reuptake inhibitors and glutamate transmission-enhanced fast-acting antidepressants, can improve mental states of depression, these drugs are far from ideal, because they have severe side effects and low rates of efficacy [5]. Growing evidence suggests that central nervous system (CNS)-targeted medications alone are insufficient, and the development of novel medications or approaches for effective and systematic depression treatment is a pressing task [4][6]. In recent decades, many divergent biological systems have been identified to be involved in the pathogenesis of depression. In particular, studies have shown that the activation of the neuroinflammatory response of the immune system and hyperactivity of the hypothalamus–pituitary–adrenal (HPA) axis of the neuroendocrine system are two critical triggers in the etiology of depression [7] (Figure 1). It should be emphasized that communication or crosstalk exists between the neuroimmune and neuroendocrine systems and that the neuroendocrine-immune network plays a vital role in the systems biology of depression [8][9].

Figure 1. The neuroendocrine-immune network in the pathogenesis of depression. In response to stress, the peripheral or neuroimmune system activates the release of HPA axis hormones, whereas the stress-induced hyperactivation of the HPA axis also stimulates a proinflammatory or neuroinflammatory response. Intersystem crosstalk occurs at many levels through neural, immunological, and humoral interactions and subsequently results in the dysfunction of the central nervous system (CNS) in the pathogenesis of depression.

     Preclinical studies have revealed that hyperactivity of the HPA axis can lead to the activation of the neuroinflammatory response of the immune system, whereas neuroinflammation can also modulate the activity of the HPA axis through various underlying mechanisms [8]. These findings have provided many novel pharmacological targets in either the neuroimmune or neuroendocrine system for depression treatment; however, none of these attempts have succeed in developing new medications directed toward these systems. Because of the intersystem crosstalk, agents that target one system alone will not be effective, and an additional medication that directly acts on the other system is also required to achieve a better treatment. Therefore, an improved approach to achieve an effective depression treatment should be systems biology-orientated and simultaneously target several biological systems involved in the pathogenesis of depression.

     Traditional Chinese Medicine (TCM) is a holistic medicine that has been developed in China for centuries. It emphasizes the integration of a variety of biological systems in the human body and aims to prevent or heal diseases by maintaining or restoring internal homeostasis [4]. In TCM practice, a combination of multiple herbal drugs, so-called Chinese Herbal Medicine (CHM), is often used to act on multiple pharmacological targets simultaneously [10][11]. The systems biology-based, multi-target, and multi-drug medication is particularly suitable for the treatment of multigenetic and multifactorial diseases, such as depression [12].

     Numerous CHM formulas are currently used for depression treatment in TCM practice [11][13]. Clinical studies have shown that these CHM antidepressant formulas exert comparable efficacies to conventional antidepressants, but with few adverse effects [14]. In addition, preclinical studies have demonstrated that CHM antidepressant formulas exhibit antidepressant-like activities in rodent models through multiple underlying mechanisms, and the de-hyperactivation of the HPA axis and anti-inflammation are the most common actions [15][16][17]. During the past decade, preclinical studies have extensively been performed by employing the molecular or systems pharmacology approach to uncover the mechanisms of action of CHM antidepressant formulas at both the molecular and systems levels. These studies have not only remarkably improved our understanding of the molecular basis and system-wide actions of CHM antidepressant formulas, but also promoted the development of novel medications for the effective and systematic treatment of depression [4].

2. Inflammation in the Pathogenesis of Depression

     Smith first proposed that inflammation may play a crucial role in the pathogenesis of depression in 1991 [18]. Since then, the immune system has been extensively studied to explore the mechanism by which the dysfunction of immune system is associated with symptoms of depression. Accumulating evidence has demonstrated that the dysregulation of the peripheral or neuroimmune system contributes to the pathogenesis of depression [19] (Figure 1). Clinical studies have indicated that patients suffering from depression showed significantly higher levels of proinflammatory cytokines, including interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), C-reactive protein (CRP), and inflammasome, than healthy people [20][21][22][23][24]. These studies have also shown that patients with chronic peripheral inflammatory diseases have a higher incidence of depression [25]. In addition, over 50% of patients suffering from viral infections showed a depressive symptomatology after treatment with cytokine interferon-alpha (INF-α) [26]. The reciprocal effects were also observed in rodent models. For instance, several studies have reported that chronic unpredictable mild stress (CUMS) treatment elevated the proinflammatory or neuroinflammatory response of the immune system in the blood and brain [27][28][29], whereas the administration of endotoxins, such as lipopolysaccharide (LPS), caused depressive-like behaviors by activating the indoleamine 2,3-dioxygenase (IDO) pathway [30] or proinflammatory cytokines [31]. These studies indicate that bidirectional communication exists between proinflammation or neuroinflammation and the CNS.

     It is worth noting that the dysregulation of the peripheral immune system plays an important role in the pathogenesis of depression. Peripheral cytokines can be actively transported into the CNS through an increase in blood brain barrier (BBB) permeability [32][33] and, subsequently, a reduction of serotonin neurotransmission and activation of the HPA axis [34]. Interestingly, low levels of proinflammatory cytokines regulate PI3K-Akt signaling to support synaptic function; however, abnormally increased proinflammatory cytokines contribute to damage, atrophy, and loss of spinal synapses through the modulation of signaling factors p38 and nuclear factor kappa B (NF-κB) [35].

     Preclinical and clinical studies have also demonstrated that stress and depression are associated with an alteration in the morphology and activation of microglial cells, which leads to neuroinflammation and neuronal dysfunction [19][36]. In post-mortem histological and neuroimaging studies on depressive patients, robust changes in the microglial morphology and density in the prefrontal cortex (PFC) and hippocampus have been found [37][38]. In addition, a peritoneum injection of LPS into chronic neurodegenerative mice has been shown to result in a dramatic change in the microglia phenotype, which can transform into a proinflammatory phenotype through the overexpression of proinflammatory cytokines, such as IL-1β, IL-6, and TNF-α [39][40]. Furthermore, the activation of microglia mediates depressive-like behaviors through the shaping of the dendritic architecture and synaptic connection [41][42]. Taken together, these findings have provided evidence that the dysfunction of the neuroimmune system is involved in the pathogenesis of depression.

3. CHM Regulation of the Neuroimmune System

     Many CHM herbal constituents exert anti-inflammation activity through various underlying mechanisms of action by regulating either proinflammatory cytokines, inflammatory signaling pathways or inflammasome [43][44][45][46]. While these studies have not revealed the specific drug-target interactions of these herbal constituents with their acting proteins, they have provided the molecular basis for understanding the mechanisms of action by which CHM herbs or formulas exert antidepressant activity through the modulation of the neuroimmune system. Figure 2 shows several representative CHM constituents that have been reported to exhibit antidepressant-like activity in depressive animal models, specifically by mediating the neuroimmune system. Other herbal constituents that possess anti-inflammation activity are also shown in Table 1. Some CHM formulas that produce antidepressant effects through the modulation of the neuroimmune system are listed in Table 2

Figure 2. Several representative CHM constituents that have been demonstrated to exert antidepressant activity, specifically by mediating the neuroimmune system.

3.1. Proinflammatory Cytokines and Cytokine Receptors

     Proinflammatory cytokines are mainly derived from immune cells such as monocytes, macrophages, lymphocytes, and dendritic cells, acting as important modulators of neuroinflammatory response [6]. Recently, several studies have investigated the influence of peripheral proinflammatory cytokines (e.g., IL-6, IL-1β, and TNF-α) on neuronal synaptic plasticity, neurogenesis, and neuromodulation, which play critical roles in the initiation, relapse, and progression of depression [47][48]. It is worth noting that these proinflammatory cytokines are usually maintained at low levels under physiological conditions; however, its levels are increased by approximately 100-fold under stress-related pathological conditions [6]. In addition, microglia can release proinflammatory cytokines that influence the neurobiology of depression by decreasing the number and function of astrocytes [19]. Furthermore, cytokine receptors have also been demonstrated to produce neurobiological effects on microglia activation and neuroinflammation [19].

    Bupleurum chinense DC has commonly been used to treat inflammation and infectious diseases [49]. Saikosaponin-D, a triterpenoid saponin isolated from Bupleurum chinense DC, has multiple pharmacological effects, such as anti-inflammation [50] and antidepressant activity [51]. A study has shown that pretreatment with saikosaponin-D (1 mg/kg, 7 days, i.g.) inhibited LPS-induced microglia activation and suppressed the secretion of proinflammatory cytokines (IL-1β, IL-6, and TNF-α) [52]. Its mechanism of action has been suggested to inhibit the transportation of high mobility group box 1 (HMGB1), a late inflammatory factor, into extracellular space, which results in the downregulation of the Toll-like receptors 4 (TLR4)/NF-κB pathway in both the hippocampus in mice and primary microglia cells. Saikosaponin-A (50 or 100 mg/kg, 4 weeks, p.o.), a derivative of saikosaponin-D, has also been demonstrated to exhibit antidepressant-like activity through its effects on the neuroimmune system by suppressing the CUMS-induced IL-1β, IL-6, and TNF-α overexpression in the hippocampus in rats [53]

     While no CHM constituents have been reported to exert a specific action on cytokine receptors, a CHM formula comprised of eight herbs for the treatment of postpartum depression, known as the Shen-Qi-Jie-Yu decoction (1.25 g/mL, 1, 2, 4 weeks, i.g.), has recently been shown to produce antidepressant effects by decreasing the expression of cytokine receptors, such as IL-1R1 and glycoprotein 130, in the hippocampus in a rat model of postpartum depression [54]

3.2. Proinflammatory Signaling Pathway

     Increasing evidence has suggested that proinflammatory signaling pathways, such as the mitogen-activated protein kinase (MAPK) pathway and NF-κB pathway, influence BBB integration, microglia activation, and neurogenesis [6][55]. A bioinformatic analysis has identified that the MAPK pathway is one of the functionally enriched signaling pathways in the neurobiology of depression [56]. Extracellular regulated kinases (ERK1/2), c-Jun N-terminal kinases (JNKs), and p38 MAP kinases are three subfamilies of the MAPK signaling pathway. It has been demonstrated that the MAPK pathway is involved in the differentiation of astrocytes and other neuronal cells, synaptic plasticity, and neuron survival, as evidenced by the robust changes of MAPK signaling in the hippocampus in depressive animal models [57][58][59]. These kinase subfamilies play central roles in the release of proinflammatory cytokines or the activation of NF-κB, a proinflammatory transcription factor, in response to various stimuli, such as psycho-emotional stressors, acute alcohol exposure, pathogenic products, or proinflammatory cytokines [60][61][62]. NF-κB is abundantly distributed in the brain, microglia, BBB, and peripheral immune responsive cells [60][61][63], and it is an essential mediator in several important physiological processes, including synaptogenesis, neurotransmission, neuroprotection, and neuroinflammation [64][65][66]. In animal models, NF-κB activity can be elevated by the degradation of NF-κB kinase inhibitors [67], and it can also be activated by IL-1β signaling and proinflammatory cytokines released from both the peripheral immune cells and the brain [68][69]. A study showed that proinflammatory cytokine overexpression and behavioral abnormality can be reduced by the blockade of NF-κB signaling [68]. Hence, these findings highlight the critical roles of the MAPK and NF-κB signaling pathways in the pathogenesis of depression.

     Many CHM herbal constituents have been shown to exert antidepressant-like activities in animal models by inhibiting the MAPK or NF-κB signaling pathway [70][71]. Ginsenoside Rg1, a saponin extracted from Panax ginseng C. A. Mey., has been demonstrated to act as a potential neuroprotective agent in depression treatment [72][73]. The administration of ginsenoside Rg1 (20 or 40 mg/kg, 34 days, i.g.) inhibited hippocampal neuroinflammation and reduced the expression of proinflammatory cytokines and microglial activation through the inhibition of NF-κB activity by the MAPK and silent information regulator 2 homolog 1 signaling pathways in chronic social defeat stress mice [72]. Additionally, ginsenoside Rg1 (10 or 20 mg/kg, 3 days, p.o.) has also been revealed to significantly reduce the p-IκB level in cytoplasm and nuclear translocation of NF-κB in LPS-induced depressive mice, probably through the suppression of iNOS and TNF-α production in the brain [74]. Moreover, in comparison with the LPS-induced model, the levels of the MAPK subfamily, such as p38 MAPK, ERK, and JNK, were reversed through treatment with Rg1 [74]. These studies have indicated that the inhibitory effects of Rg1 are meditated by inhibiting the NF-κB and MAPK pathways. 

3.3. Inflammasome

     Inflammasome, a complex of multiple proteins, functions as an intracellular sensor in response to environmental and cellular stress [75][76][77]. In particular, the NLRP3 inflammasome complex, the well-studied inflammasome member, acts as a key convergent molecular pathway in several mechanisms of peripheral and central inflammatory responses in neurological and inflammatory diseases [78]. NLRP3 inflammasome can be released by microglia, macrophages, and astrocytes in the CNS [77]. NLRP3 activation, induced by the stimulation of either Toll-like receptors (TLRs) or adenosine triphosphate (ATP), results in caspase-1 activation and IL-1β maturation, which initiate inflammatory responses [77]. Clinical studies have demonstrated that the gene expression of NLRP3, caspase-1, and IL-1β are elevated in blood samples of depressive patients [79]. In addition, it has also been shown that, in rodent models, the NLRP3 inflammasome is significantly elevated in depressive brain tissues and that the administration of an NLRP3 inhibitor improves depressive-like behaviors induced by LPS or CUMS [80][81]. Furthermore, Su et al. has suggested that NLRP3 inflammasome modulates depressive-like behaviors through the regulating activities of the MAPK and NF-κB pathways [55]. Taken together, these studies indicate that the activation of NLRP3 inflammasome signaling is involved in the pathogenesis of depression and that inflammasome serves as a potential pharmacological target in depression treatment.

     Studies have shed light on depression treatments involving CHM constituents that suppress the overexpression or activation of NLRP3. For example, trans-cinnamaldehyde (10 μM, 24 h), a bioactive constituent of Cinnamomum cassia Presl, has been shown to inhibit microglia activation and, subsequently, to alleviate inflammatory responses to various stressors [82]. The administration of trans-cinnamaldehyde (10 mg/kg, 3 weeks, p.o.) has been shown to increase sucrose preference and reduce the immobility time in CUMS rats. The study has also shown that trans-cinnamaldehyde attenuated the expression of NF-κB pathway components, including TLR-4, IκBα, p65, NF-κB-1, and TNF-α, and downregulated the expression of NLRP3, caspase-1, IL-1β, and IL-18. These observations suggest that trans-cinnamaldehyde produces antidepressant effects through the inactivation of the NF-κB/NLRP3 inflammasome pathway in animal models [28]. Moreover, a recent study has suggested that icariin (20 or 40 mg/kg, 35 days, p.o.), a prenylated flavonoid extracted from Epimedium brevicornu Maxim, exerts anti-inflammation effects and ameliorates oxidative stress-induced brain damage by inactivating the NF-κB signaling and inhibiting the NLRP3-inflammasome/caspase-1/IL-1β axis in the hippocampus [83]. It would be interesting to identify their specific targeting proteins in the inflammasome complex, which would, in turn, improve our understanding of the mechanisms of action by which CHM constituents modulate the neuroimmune system by specifically interacting with inflammasomes.

Table 1. Constituents of CHM that modulate the release of HPA axis hormones and exhibit anti-inflammatory and antidepressant-like activities in animal models of depression.

Herb Herbal Constituent Animal Model Behavioral Test Administration
Dose/Time/Route of Treatment
Effects on Mediators of
Inflammation
Effects on
Hormones of the
HPA Axis
Fallopia multiflora (Thunb.) Harald.  2, 3, 5, 40-Tetrahydroxystilbene-
2-O- -D-glucoside
LPS-induced
depressive mice
 TPT, FST, SPT 30, 60 mg/kg, 7 days, i.p. ↓ IL-6, TNF-α, IL-1β in
hippocampus and PFC
ND
Acanthopanax sessiliflorus
(Rupr. et Maxim.) Seem.
Chiisanoside LPS-induced
depressive mice
TST, FST 2.5, 5.0 mg/kg, 7 days, i.p. ↓ IL-6, TNF-α in serum
↓ NF-κB in hippocampus
ND
Polygala tenuifolia Willd.   Senegenin CUMS mice TST, FST, SPT  4, 8 mg/kg, 21 days, i.g. ↓ NF-κB/NLRP3 signal pathway
in hippocampus
ND
Gastrodia elata Bl.  Gastrodin  CUS rats  SPT, FST, Morris water test 50, 100, 200 mg/kg, 14 days, i.p. ↓ NF-κB and IL-1β expression
in hippocampus
 ND 
Cinnamomum cassia Presl   Trans-Cinnamaldehyde CUMS rats Sucrose consumptions, FST 10 mg/kg, 3 weeks, p.o. ↓ IL-1β, IL-18, TNF-α in serum
↓ NF-κB/NLRP3 in PFC
and hippocampus

ND 
Lonicera japonica Thunb.  Lonicera
japonicapolysaccharide
CUMS mice OFT, EPM, TST, FST 30, 100 mg/kg, 21 days, i.g. ↓ NLRP3, IL-1β, caspase-1
in hippocampus
ND
Andrographis paniculata (Burm. f.) Nees   Andrographolide CUMS mice FST, SPT, TST, Y maze 2.5, 5 mg/kg, 14 days, p.o. ↓ IL-1β, IL-6, TNF-α, NF-κB
signaling, NLRP3 in PFC
ND
Houpoea officinalis (Rehder and E. H. Wilson) N. H. Xia and C. Y.Wu  Honokiol LPS-induced
depressive mice
FST, TST 2.5, 5 10 mg/kg, 11 days, p.o. ↓ NF-κB activation
in hippocampus
↓ IL-1β, TNF-α, IFN-γ in serum
ND 
Gardenia jasminoides Ellis
/Crocus sativus L.  
Crocin LPS-induced
depressive mice
SPT, FST, TST, OFT 20, 40 mg/kg, 7 days, i.p. ↓ TNF-α, IL-1β, IL-18 in BV-2
microglial cells and hippocampus
↓ NF-κB and NLRP3
in hippocampus
ND
Perilla frutescens (Linn.) Britt. Perilla aldehyde CUMS rats SPT, FST, OFT 20, 40 mg/kg, 3 weeks, i.g. ↓ TNF-α, IL-1β  in hippocampus
↓ NLRP3 in hippocampus

ND 
LPS-induced
depressive mice 
TST, FST 60, 120 mg/kg, 7 days, i.g. ↓ TNF-α, IL-6 in serum and PFC ND 
Essential oil of Perilla frutescens  CUMS mice OFT, TST, FST, SPT 3, 6, 9 mg/kg, 3 weeks, g.i. ↓ TNF-α, IL-6, IL-1β in plasma  ND 
Polygonum aviculare L.  Polygonum aviculare L. extract Restraint-stressed
mice
FST, SPT, OFT 100, 200 mg/kg, 15 days, p.o. ↓ TNF-α, IL-6, IL-1β in the brain  ND 
Hemerocallis fulva (L.) L.   Ethanol extracts LPS-induced
depressive mice
SPT 180 mg/kg, 7 days, p.o.  ↓ NF-κB signaling pathway in PFC  ND 
Angelica sinensis (Oliv.) Diels   Ferulic Acid CUMS mice  SPT 20, 40, 80 mg/kg, 4 weeks, p.o. ↓ TNF-α, IL-6, IL-1β, microglial
activation, NF-κB and NLRP3
in PFC
ND 
Paeonialactiflora Pall  Paeoniflorin  IFN-α-induced
depressive mice
SPT, OFT, TST, FST 10, 20, 40 mg/kg, 4 weeks, i.g.

↓ TNF-α, IL-6, IL-1β, IL-9, IL-10, IL-12, MCP-1 in serum, mPFC, vHi and amygdala ND 
Xiaobuxin Tang   Total flavonoid extract LPS-induced
depressive mice
TST, FST 25, 50, 100 mg/kg, 1 h, i.p. ↓ TNF-α, IL-1β in the barin  ND
Ginkgo biloba L.    EGb761 LPS-induced
depressive mice
FST, TST, SPT  50, 100, 150 mg/kg, 10 days, p.o. ↓ IL-6, TNF-α, IL-1β, IL-17A
in hippocampus
↑ IL-10 in hippocampus
ND 
Pueraria lobate (Willd.) Ohwi  Puerarin  CUS rats  SPT, NSFT, FST  30, 60, 120 mg/kg, 20 days, i.g.  ND  ↓ CRH, CORT,
ACTH in serum 
Tribulus terrestris Linnaeus  Tribulus Terrestris Saponins CMS rats  OFT, SPT  0.375, 0.75, 2.25 g/kg, 4 weeks, i.g.  ND  ↓ CRH, CORT
in serum 
Rehmannia glutinosa (Gaert.) Libosch.
ex Fisch. et Mey. 
Ethanol extracts  CUMS rats  SPT  150, 300, 600 mg/kg, 3 weeks, p.o.  ND  ↓ CORT in serum 
Panax ginseng C.A. Meyer Ginseng total saponins LPS-induced
depressive
mice/RAW264.7 cells; CUMS rats
FST, TST, SPT 200 mg/kg, 7 days, i.g.; 12.5, 25, 50 mg/kg, 6 weeks, i.g. ↓ IL-1β, IL-6, TNF-α, IDO mRNA in hippocampus ↓ CORT in serum
↑ GR mRNA in hippocampus
Ginsenoside Rg1 CSDS mice;
CUMS rats
Social interaction test, SPT,
FST, TST
20, 40 mg/kg, 34 days, i.g.; 5, 10,
20 mg/kg, 28 days, i.g.
↓ IL-6, TNF-α, IL-1β, microglial
activation, p-NF-κB in hippocampus
↓ CORT level
in serum
↑ GR protein in PFC and hippocampus
Ginsenoside Rg3 LPS-induced
depressive mice; CUS rats
TPT, FST, EPMT, NSFT,
OFT
20, 40 mg/kg, 3 days, i.g.; 10, 20,
40 mg/kg, 14 days, i.g.
↓ IL-6, TNF-α in plasma
↓ IL-6, IL-1β, IDO, microglial
activation, NF-κB pathway in
brain
↓ CRH, CORT,
ACTH in serum 
Salvia miltiorrhiza Bunge  Salvianolic acid B CMS mice  SPT, FST, TST 20 mg/kg, 3 weeks, i.p. ↓ IL-1β, TNF-α in hippocampus
and cortex
↑ IL-10, TGF-β in hippocampus
and cortex
↓ CORT
in plasma 
Aquilaria spp.  Agarwood Essential Oil Restraint
stress-induced mice
TST, FST 10, 20, 40 mg/kg, 10 days, i.p. ↓ IL-1β, IL-1α, IL-6 in serum ↓ CRF, CRF
receptor in cortex
↓ CORT, ACTH
in serum

Chaihu-Shugan-San Saikosaponin A CUMS rats SPT, NPFT, FST 25, 50 or 100 mg/kg, 4 weeks, p.o. ↓ IL-1β, IL-6, TNF-α in hippocampus ↓ CRH in
hypothalamus
↓ GR mRNA
in hippocampus
Rhodiola rosea L.   Salidroside OBX rats TST, FST, SPT 20, 40 mg/kg, 2 weeks, p.o.; 20,
40 mg/kg, 2 weeks, i.g.
↓ TNF-α, IL-1β in hippocampus
↓ IL-1β, IL-6, TNF-α, NF-κB
activation in PFC
↑ GR in
hippocampus
↓ CRH in
hypothalamus
Epimedium brevicornu Maxim. Icariin CMS rats; CSD mice SPT, FST, social avoidance
evaluations
20, 40 mg/kg, 35 days, p.o.; 25,
50 mg/kg, 28 days, i.g.
↓ IL-1β, TNF-α, NF-κB
signaling pathway,
NLRP3/caspase-1/IL-1β axis
activation in hippocampus
↓ CORT, IL-6
in serum
↑ GR in livers

Curcuma longa L.   Curcumin CUMS rats; CUS rats  SPT, FST, EPM, Shuttle-box testing 40 mg/kg, 5 weeks, i.p.;
100 mg/kg, 4 weeks, i.g.; 2.5, 5,
10 mg/kg, 21 days, p.o.
↓ TNF-α, IL-1β, IL-6, NF-κB
in mPFC
↓ TNF-α, IL-1β, IL-6 mRNA,
NLRP3 in hippocampus
↓ CORT in serum
↑ GR mRNA
in serum
Polygonum cuspidatum Siebold et Zucc.  Resveratrol Ouabain-induced
depressive mice;
Hippocampal neuron cells; CUMS rats
OFT, EPM, Barnes maze
performance, object
recognition, passive
avoidance experiments,
SPT, FST
10 mg/kg, 10 weeks, p.o.;
15 mg/kg, 21 days, i.g.
↓ IL-1β, IL-17A, IL-8, TNF-α in
serum and hippocampal
neuron cells
↓ CORT in serum
↓ CRF mRNA
in hypothalamus
Bupleurum chinense DC.  Saikosaponin D LPS-induced
depressive mice;
UCMS rats
SPT, TST, FST, OFT 1 mg/kg, 7 days, i.g.; 0.75, 1.5 mg/kg, 21 days, i.g. ↓ microglia activation
in hippocampus
↓ IL-6, TNF-α, IL-1β in vivo
and vitro
↓ TLR4/NF-κB signaling
pathway in hippocampus
↓ CORT in serum
↑ GR in
hippocampus
Scutellaria baicalensis Georgi  Baicalin CUMS mice; CUMS rats; CORT-induced
depressive-like mice
SPT, OFT, TST FST 60 mg/kg, 14 days, i.g.; 20, 40 mg/kg, i.g., 3 weeks; 10, 20 mg/kg, 21 days, i.g. ↓ IL-1β, TNF-α, IL-6, TLR4 in
the hippocampus
↓ GSK3 /NF-κB/NLRP3 signal pathway in hippocampus
↓ GR mRNA,
GRα in
hippocampus

Table 2. CHM formulas traditionally used in TCM for the treatment of depression, which exhibit anti-inflammatory activity and modulate the release of HPA axis hormones.

CHM Formula Plant Name/Ratio in Fixed
Combination
 Daily  Human Dose Animal Model Behavioral Test Administration
Dose/Time/Route of
Treatment
Effects on
Mediators of
Inflammation
Effects on
Hormones of
the HPA Axis
Xiaoyao Pills Bupleurum chinense DC.,
Osmanthus fragrans var.
aurantiacus Makino, Paeonia
lactiflora Pall., Smilax glabra Roxb, Atractylodes macrocephala Koidz.,
Mentha haplocalyx Briq., Zingiber officinale Roscoe and Glycyrrhiza uralensis Fisch.; 3:3:3:3:3:1:2:1.5
2 times/day

LPS-induced
depressive mice/rats
TST, FST, OFT, NSFT  0.4836, 0.93, 1.86 g/kg, 14 days, i.g. ↓ IL-6 in serum
and hippocampus
↓ TNF-α in
hippocampus and cortex

ND 
Mahuang-Fuzi-Xixin
Decoction
Aconitum carmichaeli Pcbx.,
Ephedra sinica Stapf and Asarum sieboldii Miq.; 3:2:1
3 times/day LPS-induced
depressive mice
SPT, OFT, TST, FST 2.5, 12.5, 25 g/kg, 1 week, p.o. ↓ IL-1β, NLRP3
in hippocampus
ND 
Jieyu Anshen
granule
Bupleurum abchasicum Manden., Ziziphus jujuba Mill., Dens Draconis, Polygala tenuifolia Willd., Lilium brownie var. viridulum Baker, Atractylodes macrocephala Koidz., Triticum aestivum L., Angelica sinensis (Oliv.) Diels, Acorus tatarinowii Schott, Pinellia ternate (Thunb.)
Makino, Glycyrrhiza uralensis
Fisch., Gardenia jasminoides J. Ellis, Arisaema Cum Bile, Curcuma longa L., Smilax glabra Roxb., and Fructus Jujubae.;
4:5:10:4:10:3:10:3:4:3:3:4:4:4:5:3
5 g;
2 times/day
PSD rats OFT, SPT, water
maze test
1, 3 g/kg, 4 weeks, i.g. ↓ NF-κB signaling in
PFC and
hippocampus
ND 
Jiaotai wan  Coptis chinensis Franch. and
Cinnamomum cassia.; 10:1
1.5–2.5 g/day  LPS-induced
depressive mice
TST, FST, SPT, OFT 4.2, 8.4 g/kg,
7 days, i.g.
↓ TNF-α, IL-6
in serum
↓ NF-κB signaling
in brain
ND 
Shen-Qi-Jie-Yu
Decoction
Astragalus membranaceus (Fisch) Bunge, Curcuma aromatica Salisb, Ziziphus jujuba var spinosa
(Bunge) Hu ex HF Chow, Cornus officinalis Sieb et Zucc
(Cornaceae), Codonopsis pilosula (Franch) Nannf, Citrus reticulata Blanco, Citrus medica L, and Angelica sinensis (Oliv) Diels.; 10:7.5:7.5:7.5:6:5:5:5
1 time/day Postpartum
depressive rat model
OFT, SPT, FST 1.25 g/mL, 1, 2,
4 weeks, i.g.
↓ IL-1β and IL-6 in serum
↓ IL-1RI and gp130
in hippocampus
ND
Jieyuanshen
Decoction
Bupleurum chinense DC.,
Scutellaria baicalensis Georgi,
Ziziphusjujuba Mill. var. spinosa (Bunge) Hu ex H.F. Chou, Glycyrrhiza uralensis Fisch., Lilium brownie F.E. Brown var. viridulum Baker, and Pinelliaternata (Thunb.)
Breit.; 1:1.5:0.5:1:1:3
2 times/day  CUS rats SPT, OFT 8.2, 16.3, 32.7 g/kg, 28 days, i.g. ND ↓ CORT, ACTH, CRH in serum
↑ GR in
hippocampus
Zhizihoupo
Decoction
Gardenia jasminoides Ellis, Citrus aurantium L., and Magnolia officinalis Rehd. et Wils.; 1:1:7 2 times/day   CUMS rats SPT, FST, OPT 3.66, 7.32, 14.64 g/kg, 3 weeks, i.g.  ND  ↓ ACTH, CORT in plasma
Shuyu San Bupleurum chinense DC., Curcuma aromatica Salisb., Mentha canadensis Linnaeus, Gardenia jasminoides Ellis, Smilax glabra Roxb., Polygala tenuifolia Willd., Acorus gramineus Soland., Ziziphus jujuba var. spinosa (Bunge) Hu ex H. F. Chow., and Albizia julibrissin Durazz.;
5:7.5:3:5:5:5:5:7.5:5
2 times/day  UCMS rats TST, FST  2.5, 7.5, 25 g/kg,
3 weeks, g.p.
ND  ↓ CRH, ACTH,
CORT in serum 
Chaihu-Shugan-San Bupleurum chinense DC., Citrus
reticulata Blanco, Ligusticum
sinense ‘Chuanxiong’, Cyperus rotundus L., Citrus × aurantium Linnaeus, Paeonia lactiflora Pall., and Glycyrrhiza uralensis Fisch.; 4:4:3:3:3:3:1
2 times/day  ApoE-/- mice; UMS
rats
SPT, OFT, LDET, TST 3, 9 g/kg, 16 weeks, i.g.; 5.9 g/kg, 2 weeks,
i.g.
↓ TNF-α, IL-1β, IL-6 in plasma and hippocampus ↓ CRH, ACTH
in plasma
Kaixin San Panax ginseng C.A. Meyer, Poria cocos (Schw.) Wolf, Polygala tenuifolia Willd, and Acorus tatarinowii Schott.; 1:1:25:50 or 3:2:2:3 or 1:1:1:2 2 times/day CUMS rats; CUMS
rats
SPT 338, 676 mg/kg,
3 weeks, p.o.; 3,
10 g/kg, 6 weeks, i.g.
↓ COX-2, IL-2, IL-6, TNF-α in serum and hippocampus
↑ IL-10, IFN-γ in hippocampus
and serum
↓ CRH, ACTH,
CORT in serum and organs
Si-Ni San Citrus aurantium L., Bupleurum
chinense DC., Paeonia lactiflora
Pall., and Glycyrrhiza uralensis
Fisch.; 2:2:3:2
2 times/day Reserpine-induced
rats; Mice
FST, SPT, OFT, TST 0.75, 1.5, 3.0 g/kg, 2 weeks, p.o.; 325, 650,
1300 mg/kg, 60 min, p.o.
↓ IL-1β, IL-6, TNF-α in serum, liver, and
hippocampus
↓ NF-κB in
hippocampus
↓ CORT
in serum 
Banxia houpo
Decoction
Pinellia ternate (Thunb.) Breit.,
Smilax glabra Roxb, Houpoea
officinalis (Rehder and E. H.
Wilson) N. H. Xia and C. Y. Wu,
Zingiber officinale Roscoe, and
Folium Perillae; 4:4:3:3:2
2 times/day   

CUMS rats SPT 3.29, 6.58 g/kg,
6 weeks, i.g.
↓ NLRP3 activation
in livers,
hypothalamus, PFC
↓ CORT, CRF
in serum 

Notes: The conversion ratio of CHM formulas between human and animals should be calculated according to the following formulas: human dose (mg/kg) to mice dose (mg/kg): multiply by 12.3; human dose (mg/kg) to rat dose (mg/kg): multiply by 6.2 [84]. ↓ means decrease; ↑ means increase. Abbreviation in tables: CUMS, chronic unpredictable mild stress; UCMS, unpredictable chronic mild stress; CSD, chronic social defeat; CSDS, chronic social defeat stress; CMS, chronic mild stress; SDM, social defeat model; CUS, chronic unpredictable stress; PSD, poststroke depression; LPS, lipopolysaccharides; OBX, olfactory bulbectomized; CORT, corticosterone; GR, glucocorticoid receptor; ACTH, adrenocorticotropin; CRF, corticotrophin releasing factor; CRH, corticotrophin releasing hormone; SPT, sucrose preference test; TST, tail suspension test; OFT, open field test; FST, forced swimming test; EMP, elevated plus maze; NSFT, novelty suppressed feeding test; NIHT, novelty induced hypophagia test; LDET, light dark exploration test; IL,interleukin; TNF-α, tumor necrosis factor-α; IFN-γ, Interferon gamma; NLRP3, NOD-like receptor protein 3; COX-2, cyclooxygenase-2; NF-κB, nuclear factor kappa B; TLR4, toll-like receptor 4; IDO, indoleamine 2,3-dioxygenase; GSK3 , Glycogen synthase kinase-3 ; PFC, prefrontal cortex; vHi, ventral hippocampus; ND, not determined; i.p., intraperitoneal; i.g., intragastrically; p.o., peros; g.p., gastric perfusion; g.i., gastric intubation.

4. CHM Modulation of the HPA Axis

     It is well known that hyperactivation of the HPA axis in the neuroendocrine system, induced by acute or chronic stress, is a common feature in depressive patients. In response to these somatic stimuli, corticotrophin releasing factor (CRF) or corticotrophin releasing hormone (CRH) is secreted from the median paraventricular nucleus in the hypothalamus and then activates the pituitary to synthesize and release adrenocorticotropic hormone (ACTH). ACTH further activates the adrenal cortex to release glucocorticoid (corticosterone (CORT) or cortisol), which, in turn, regulates the HPA axis through a negative feedback loop at multiple levels: directly on elements of the axis and indirectly through the PFC, amygdala, and hippocampus [85][86][87] (Figure 1). Studies have demonstrated that hyperactivity of the HPA axis reduces synaptic function, atrophies neurons, and subsequently results in depressive behaviors [88]. Additionally, excessive CRF secretion induced by the desensitization of CRF pituitary receptors, leads to high concentrations of CRF in the CNS, which contributes to the risk of depression [89][90]. Moreover, the abnormal activation of the HPA axis can also be induced by the downregulation of glucocorticoid receptors (GR) in the hippocampus [91]. These studies have provided several pharmacological targets to suppress stress-induced hyperactivation of the HPA axis, but attempts to develop novel agents directed toward the HPA axis in the treatment of depression have not been successful.

     On the other hand, preclinical studies have demonstrated that many CHM herbal constituents or formulas can attenuate depressive-like symptoms through the modulation of the activity of the HPA axis in depressive animal models [92][93][94][95][96]. These findings have provided the molecular basis for understanding the mechanism of action of CHM in the treatment of depression, by which CHM constituents or formulas produce antidepressant activities by specifically acting on modulators of the HPA axis. Several representative CHM constituents that have been demonstrated to target the hormone receptors in the HPA axis are shown in Figure 3. Other CHM constituents or formulas that modulate the release of HPA axis hormones are listed in Table 1 and Table 2, respectively.

     Figure 3. Several representative CHM constituents that have been demonstrated to exhibit antidepressant-like activities through their action on HPA axis hormone receptors.

4.1. CRF Antagonists

     CRF is commonly considered to be a vital factor in response to stress at the neural, endocrinological, and immunological levels [9]. It is noticeable that CRF is involved in the structural integrity of the brain and in the regulation of neurotransmitter transmission [97]. Studies have demonstrated that CRF antagonists could be potential antidepressants that alleviate depressive symptoms through the suppression of the hyperactivation of the HPA axis [98].

     Quercetin, a flavonoid abundantly distributed in many herbs, has been shown to exhibit anxiolytic- and antidepressant-like activities in animal models by antagonizing the effect of CRF [99]. In this study, the administration of quercetin (20 or 40 mg/kg, 60 min, p.o.) significantly reduced the levels of CORT and adrenocorticotropic hormone in plasma and the mRNA expression of CRF in the hypothalamic region in water immersion-restraint rats. It also demonstrated that quercetin suppressed CRF expression, probably through the modulation of the DNA-binding activity of the glucocorticoid receptor and the phosphorylation of the cyclic adenosine 3′,5′-monophosphate (cAMP) response element-binding protein and extracellular signal-regulated kinase 1/2 in the hypothalamic region [100]

4.2. Corticotrophin Releasing Factor 1 (CRF1) Receptor Antagonists

     After its release, CRF binds to two major receptors: CRF1 and CRF2. It is noteworthy that the CRF1 receptor is widely distributed in the brain, while the CRF2 receptor is highly expressed in peripheral tissues [9][101]. Increasing evidence has suggested that an elevated CRF1 receptor function, rather than the CRF2 receptor, is involved in the pathogenesis of anxiety and depression [102]. Furthermore, several lines of preclinical evidence has shown that knockout of the CRF1 receptor in mice produces anti-anxiety effects [9], while CRF2 receptor-deficient mice exhibit increased anxiety- and depressive-like behaviors [9][103][104]. Thus, the CRF1 receptor seems to be a key receptor for the HPA axis in the pituitary in response to stress, and the blocking CRF1 receptor has been proposed to be an effective therapeutic approach in depression treatment.

     In response to stress, CRF initiates the activity of the HPA axis through by binding to the CRF1 receptor in the anterior pituitary and thus activating adrenocorticotropic hormone secretion [105]. Clinical studies have suggested that the CRF1 receptor plays a crucial role in individuals’ risk of developing depression [97]. It is noteworthy that CRF1 receptor antagonists have been tested for their efficacy in depression treatment, but the results were inconsistent. One study has shown that the administration of NBI-30775/R121919 (40–80 mg/day for 30 days), a CRF1 receptor antagonist, significantly attenuated depressive symptoms in patients [106]. However, in another study, the authors did not observe the antidepressant effects of CRF1 receptor antagonists, such as CP-316311 [107]. It has also been demonstrated that some CRF1 receptor antagonists, including antalarmin, CP154,526, and R121919, did not produce antidepressant-like effects in rat models [108]. These studies have argued that treatment with CRF1 antagonists is only beneficial for depressive patients with CRF overactivity [106][107].

     CHM constituents have been shown to produce antidepressant effects in animal or cell models by antagonizing the CRF1 receptor [9][109][110]. The activity of three major constituents isolated from St. John’s wort, hypericin, pseudohypericin, and hyperforin against the CRF1 receptor has been examined by measuring their effects on CRF-stimulated cAMP formation [110]. This study showed that only pseudohypericin (10 μM) selectively inhibits CRF1 receptor activity, but hypericin and hyperforin antagonizes both CRF and calcitonin [110]. To our knowledge, pseudohypericin is the first herbal molecule to be identified as a CRF1 receptor antagonist.

4.3. GR Agonists or Antagonists

     GR is a glucocorticoid receptor that is distributed in the HPA axis. Hyperactivation of the HPA axis can impair GR function because of the elevated cortisol and glucocorticoids [111]. Additionally, GR dysfunction may also result from decreased glucocorticoid binding to GR or decreased GR expression in the HPA axis [112][113]. It has been observed that, in comparison with healthy controls, GR mRNA levels are decreased in the brain regions of depressed patients in postmortem studies [114][115]. Another study showed that treatment with antidepressants can increase GR binding and GR mRNA expression in the brain, thus ameliorating depressive symptoms [116]. Thus, the upregulation of GR expression and function through, for example, a GR agonist, has been proposed to be pivotal for the therapeutic mechanism of antidepressants. However, a clinical study involving 490 patients with depression indicated that either an increased or decreased GR mRNA results in a greater susceptibility to depression [117]. It is noticeable that polymorphisms of the GR gene play a critical role in the pathogenesis of depression [117]. Hence, GR antagonists have also been recognized to be potential modulators in the development of antidepressants. Clinical studies have shown that a GR antagonist, mifepristone, ameliorates psychotic symptoms and cognitive deficits in patients with depression or bipolar disorders [118][119]. Preclinical studies have also demonstrated that GR deficits in the PFC of mice resulted in depressive-like behaviors [120][121], which can be ameliorated by the administration of mifepristone [120]. However, in a clinical Phase III study, mifepristone was found to have disappointing effects in terms of the effective reduction of psychotic symptoms in depression sufferers [121], and its abortifacient properties severely compromised its use in women with depression [122]. Thus, mifepristone has not been recognized as an antidepressant drug on the market.

     CHM herbal constituents or formulas have been reported to attenuate depressive behaviors through the modulation of stress-impaired GR in animal models. The administration of baicalin (20 mg/kg, 21 days, p.o.), a major constituent in Scutellaria baicalensis Georgi, has been demonstrated to significantly attenuate CORT-induced behavioral abnormalities through the upregulation of GR mRNA and GRα expression in the hippocampus in mice [123]. In addition, a CHM formula, known as the Huang-Qin-Hua-Shi decoction (1 mL/100 g, 3 weeks, i.g.), has also been shown to block the high-temperature- and high-humidity-stress-induced upregulation of hypothalamus GR mRNA expression in rats, which is similar to the action of the GR antagonist, mifepristone [124]

5. CHM Effects on the Neuroendocrine-Immune Network

     As mentioned above, either the neuroimmune or neuroendocrine system plays a pivotal role in the pathogenesis of depression, but neither of these individual systems is fully responsible for the pathogenesis of depression. Indeed, clinical studies have demonstrated that abnormal neuroinflammatory responses of the immune system and dysfunction of the HPA axis commonly co-occur in depressive patients [125]. In addition, preclinical evidence has suggested that crosstalk exists between two biological systems through neural, endocrinal, and immunological interactions in the pathogenesis of depression (Figure 1).

     Stress activates the HPA axis and sympathetic nervous system, resulting in neuroendocrinal and immunological changes, which, in turn, promote detrimental neuroinflammatory reactions[125][126][127][128][129]. Glucocorticoid immunomodulatory action is a key interaction between the HPA axis and neuroimmune system, which allows for coping with any situation that could challenge homoeostasis in the pathogenesis of depression [130][131]. Specifically, glucocorticoids exert immunomodulatory effects, primarily through GR-mediated inflammatory factors, including NF-κB and activator protein-1 [132][133][134]. Meanwhile, proinflammatory cytokines can also regulate the HPA axis by disturbing the GR function mediated by inflammatory signaling components, such as p38MAPK, NF-κB, and cyclooxygenase-2 (COX2) [8][47]. All MAPKs are potential targets of the anti-inflammatory actions of glucocorticoids through the inhibition of their phosphorylation, whereas proinflammatory cytokines induce the abnormal activation of MAPK signaling, which results in the alternation of GR phosphorylation and activity [8]. Furthermore, a chronic blockade of GR reverses GR dysfunction and decreases depressive-like behaviors induced by LPS [135][136].

     Additionally, the activity of the HPA axis is also regulated by proinflammatory cytokines, such as IL-6, IL-1β, and TNF-α, which can easily cross BBB and exert their effects through various cytokine receptors [9]. In Li’s study, elevated CORT levels were observed in the plasma and hippocampus after the administration of LPS [137]. It has also been indicated that an intraperitoneal injection of IL-1 administered to rats activated the HPA axis by increasing the ACTH and corticosterone levels in plasma [138]. On the other hand, it has been demonstrated that the levels of TNF-α and IL-6 were upregulated by an intraperitoneal injection of CRF [139]. It is noteworthy that neuroinflammation in stress-induced animal models can be attenuated by the CRF1 antagonist, SSR125543 [140]. These findings have suggested that the release of CORT, ACTH, and CRF can be induced by proinflammatory cytokines and, conversely, proinflammatory cytokines can also be regulated by the modulation of HPA axis hormones.

     The HPA axis has been shown to be involved in microglial activation. Both CRF receptors and GR are abundantly distributed in microglial cells [141][142][143], and CRF stimulates release of TNF-α in cultured microglial cells [144]. High levels of glucocorticoids have been shown to participate in both proinflammatory cytokine production and the sensitization of microglial cells [6][145]. In addition, glucocorticoids induce microglial proliferation in restraint stress-induced mice [145]. However, due to a lack of correlation between the HPA axis and immune measures, the specific function of the HPA axis in microglial physiology and the mechanism by which chronic cytokine exposure influences the HPA axis function remains to be uncovered [146][147]. Overall, these studies have indicated that the reciprocal regulation between the HPA axis and neuroimmune system represents a common feature in the pathogenesis of depression.

     It has often been reported that a CHM herbal constituent exhibits multiple effects in the pathogenesis of depression [148][149][150]. Several representative CHM constituents that have been shown to exert multiple actions on the neuroendocrine-immune network are shown in Figure 4. Ginsenoside Rg3 (20 or 40 mg/kg, 3 days, i.g.) was isolated from Panax ginseng C.A. Meyer has been shown to effectively suppress LPS-induced neuroinflammation by reducing the proinflammatory cytokines (IL-1β, IL-6, and TNF-α), NF-κB signal pathway, and microglial activation in the brain [107]. It has also been reported that Rg3 (20 or 40 mg/kg, 14 days, i.g.) attenuated the hyperactivation of the HPA axis by reducing CRH, CORT, and ACTH in CUS rats [108]. Furthermore, it has been shown that total ginsenosides (200 mg/kg, 7 days, i.g.) significantly decrease serum CORT levels, increase GR mRNA expression, and reduce IL-1β, IL-6, TNF-α, and IDO in the hippocampus of LPS mice or CUMS rats [104][105].

     Curcumin, a diarylheptanoid from Curcuma longa L., is another example of CHM constituents that possess multiple actions on the neuroendocrine-immune network. Xu et al. showed that curcumin (5 or 10 mg/kg, 21 days, p.o.) produces antidepressant activity by suppressing the aberrant activation of the HPA axis caused by an elevated serum CORT level and GR mRNA expression in CUS rats [116]. Interestingly, a recent study has shown that curcumin (100 mg/kg, 4 weeks, i.g.) significantly reduces the mRNA expression of proinflammatory cytokines, including IL-1β, IL-6, and TNF-α, and suppresses the activation of NF-κB signaling and the NLRP3 inflammasome in CUMS rats [115].

     The phenomenon that one CHM constituent exerts multiple actions on several biological systems has been understood poorly because of the lack of experimental evidence to define its pharmacological profiles and specific interactions with its targeting proteins [12]. It is most likely the case that crosstalk exists between these biological systems or that one CHM constituent acts non-selectively on multiple targets [12]. This makes it difficult to understand the mechanisms of action of CHM constituents at the molecular level. Thus, more in-depth studies are required to uncover the specific interactions between these CHM constituents and their targeting proteins. Nevertheless, multi-target actions of these CHM constituents provide the scientific basis for interpreting their system-wide mechanisms of action.

Pharmaceuticals 14 00065 g004 550

      Figure 4. Several representative CHM constituents that have been shown to produce antidepressant effects through their actions on the neuroendocrine-immune network.

     In addition to these CHM constituents, many CHM antidepressant formulas have been shown to possess multiple underlying mechanisms of action, particularly on the HPA axis and neuroimmune system (Table 2). This is shown in the studies on Kai-Xin-San (KXS), an empirical antidepressant formula, which consists of Panax ginseng C.A. Meyer, Poria cocos (Schw.) Wolf, Polygala tenuifolia Willd, and Acorus tatarinowii Schott [151]. A chronic administration of KXS (338 or 676 mg/kg, 3 weeks, i.g.) has been shown to produce antidepressant-like activity in CUMS-induced animal models through the reduction of COX-2, IL-2, IL-6, and TNF-α expression levels and increase in IFN-γ and IL-10 production [152]. Notably, in other studies, KXS (0.9 or 2.7 g/kg, 5 weeks, i.g.) has also been reported to modulate the activity of the HPA axis by reversing the elevated ACTH level in CMS-induced mice [153]. Taken together, these studies indicate that the underlying mechanisms of KXS, as an antidepressant formula, include its actions on the neuroendocrine-immune network.

     In comparison with single CHM herbal constituents, the multidrug feature of a CHM antidepressant formula confers its pharmacological actions on multiple targets toward diverse pathological systems. The antidepressant actions of KXS are triggered by its numerous bioactive constituents within the formula. For instance, ginsenosides Rg1, Rg3, Rh1, Rh3, Rb1, Rk1, and Rf from Panax ginseng C.A. Meyer have been demonstrated to exhibit dual actions against neuroinflammation and hyperactivation of the HPA axis [106][108][154][155][156][157][158][159][160][161][162][163], while 3,6’-disinapoyl sucrose and the oligosaccharide esters-enriched fraction, YZ50, from Polygala tenuifolia Willd have been shown to possess bioactivity that de-hyperactivates the HPA axis [164][165][166]. Additionally, poricoic acid A, isolated from Poria cocos (Schw.) Wolf, has been reported to produce anti-inflammatory effects by inhibiting prostaglandin E2 and NO production through a decrease in COX-2 and iNOS expression, respectively [167]. β-Asarone, a major bioactive constituent of Acorus tatarinowii Schott, has also been demonstrated to be an anti-inflammation agent, as it downregulates TNF-α, IL-1β, and IL-6 expression [168]. Multiple actions of these constituents in KXS toward multiple biological systems, such as the neuroendocrine-immune network, represent an excellent example of CHM antidepressant formulas in the systematic treatment of depression. Likewise, many other CHM antidepressant formulas have been shown to possess multiple mechanisms of action on diverse biological systems, particularly the neuroendocrine-immune network, in the pathogenesis of depression (Table 2).

     Dysfunction of the neuroimmune or neuroendocrine system results in profound effects on the CNS through the neuroendocrine-immune network. To uncover the system-wide mechanism of action of KXS, a study has been conducted to assess the protein expression in serum samples of depressive patients, before or after Shen-Zhi-Ling (a proprietary tablet formulated from KXS) treatment (3.2 g/day, 8 weeks, i.g.), using quantitative proteomic analysis [169]. Of a total of 878 serum proteins, the abnormal expression of 12 proteins in depressive patients could be reversed by treatment with KXS. Functional analysis further revealed that these proteins are implicated in platelet activation, immune regulation, and lipid metabolism. Moreover, a quantitative proteomic study has also been performed to evaluate the hippocampal proteins of CMS-induced rats in response to KXS administration (0.6 g/kg, 14 days, i.g.) [170]. This study identified 33 hippocampal proteins that are associated with KXS treatment. Protein–protein interaction network analysis showed that these proteins can be classified into several categories that participate in glutamate signaling, synaptic plasticity, the metabolic process, the cell survival process, and the BDNF, mTORC1, and cAMP pathways. These studies indicated that KXS exhibits antidepressant actions through targeting numerous proteins across multiple biological systems, providing a network or systems pharmacology approach to understanding the mechanism of action of KXS at the systems level.

6. Discussion

     Numerous empirical CHM antidepressant formulas are often used in clinical practice for the treatment of depression (Table 2). To elucidate the mechanism of action by which a CHM formula exhibits antidepressant-like activity through the modulation of multiple biological factors across divergent systems is an important research direction. Two major pharmacological approaches are commonly employed in the analysis of the mechanism of action of a CHM formula on the biological factors in the pathogenesis of depression. One is the molecular approach, which uses single bioactive constituents from an herb used in a CHM antidepressant formula to explore their specific actions on potential pharmacological targets. The studies that employ the molecular approach have provided a scientific basis for revealing the mechanism of action of a CHM antidepressant herb or formula at the molecular level (Figure 2Figure 3 and Figure 4 and Table 1). Because the constituent complexity and drug–drug interactions of an entire formula often prevent the molecular mechanism of action from being uncovered, the molecular approach plays a critical role in our understanding of the drug–target interactions in depression treatment. However, the effects of single molecular constituents cannot exactly reflect the action of a CHM composite formula, which contains numerous bioactive constituents that are proposed to simultaneously act on diverse pharmacological targets across biological systems. Hence, it is necessary to integrate the mechanism of action from the molecular level into the systems level in order to understand the role of CHM in depression treatment.

     Another approach is the systems pharmacology approach, which involves uncovering the system-wide mechanism of action of an entire CHM antidepressant formula. Systems pharmacology studies drugs, drug targets, and drug effects at the systems level and reveals all responses to the pharmacological actions of drugs across various biological systems [171]. The systems pharmacology approach has recently been applied in studies of CHM antidepressant formulas and shown to be a powerful tool for understanding the system-wide mechanism of action (Table 2 and Section 5). It aims to create a network of the biological factors within a specific system or across diverse systems in response to the pharmacological actions of an entire CHM formula. Several advanced analysis techniques, including DNA or RNA microarray [[172][173][174][175][176] and quantitative proteomics [177], have been used to identify the potential targeting proteins that are associated with a typical CHM formula. While systems pharmacology-based studies provide a holistic point of view on the pharmacological actions of a given CHM formula, they cannot provide detailed information on molecular drug–target interactions. In addition, the targeting protein candidates resulting from the system pharmacology-based analysis still require further validation by the molecular approaches. While these two approaches are commonly used in preclinical studies, neither can provide a holographic picture of the mechanism of action of a CHM formula in the treatment of depression. Therefore, it is vital to integrate the two approaches into the study of CHM in order to understand the mechanism of action of a CHM antidepressant formula in its entirety.

     In summary, the neuroimmune or neuroendocrine system not only exhibit profound effects on the CNS, but also reciprocally regulate one another through the neuroendocrine-immune network. Thus, the effective approach to the treatment of depression induced by the dysfunction of the neuroendocrine-immune network should concurrently target multiple pathological factors across these biological systems. Preclinical studies have demonstrated that the holistic, multidrug, and multitarget CHM represents an excellent example of systems medicine in the treatment of depression. 

 

References

  1. WHO. Depression. Available online: https://www.who.int/news-room/fact-sheets/detail/depression (accessed on January 30, 2020)
  2. Pothula, S.; Kato, T.; Liu, R.J.; Wu, M.; Gerhard, D.; Shinohara, R.; Sliby, A.N.; Chowdhury, G.M.; Behar, K.L.; Sanacora, G.; et al. Cell-Type specific modulation of NMDA receptors triggers antidepressant actions. Mol. Psychiatry 2020, doi:10.1038/s41380-020-0796-3.
  3. Jiang, C.Y.; Qin, X.Y.; Yuan, M.M.; Lu, G.J.; Cheng, Y. 2,3,5,4′-Tetrahydroxystilbene-2-O-β-D-glucoside Reverses Stress-Induced Depression via Inflammatory and Oxidative Stress Pathways. Oxid. Med. Cell. Longev. 2018, 2018, 9501427, doi:10.1155/2018/9501427.
  4. Zhang, Y.W.; Cheng, Y.C. Challenge and Prospect of Traditional Chinese Medicine in Depression Treatment. Front. Neurosci. 2019, 13, 190, doi:10.3389/fnins.2019.00190.
  5. Fogaca, M.V.; Duman, R.S. Cortical GABAergic Dysfunction in Stress and Depression: New Insights for Therapeutic Inter-ventions. Front. Cell. Neurosci. 2019, 13, 87, doi:10.3389/fncel.2019.00087.
  6. Kim, Y.K.; Na, K.S.; Myint, A.M.; Leonard, B.E. The role of pro-inflammatory cytokines in neuroinflammation, neurogenesis and the neuroendocrine system in major depression. Prog. Neuropsychopharmacol. Biol. Psychiatry 2016, 64, 277–284, doi:10.1016/j.pnpbp.2015.06.008.
  7. Ignacio, Z.M.; da Silva, R.S.; Plissari, M.E.; Quevedo, J.; Reus, G.Z. Physical Exercise and Neuroinflammation in Major De-pressive Disorder. Mol. Neurobiol. 2019, 56, 8323–8335, doi:10.1007/s12035-019-01670-1.
  8. Zunszain, P.A.; Anacker, C.; Cattaneo, A.; Carvalho, L.A.; Pariante, C.M. Glucocorticoids, cytokines and brain abnormalities in depression. Prog. Neuropsychopharmacol. Biol. Psychiatry 2011, 35, 722–729, doi:10.1016/j.pnpbp.2010.04.011.
  9. Jiang, Y.Z.; Peng, T.M.; Gaur, U.; Silva, M.; Little, P.; Chen, Z.; Qiu, W.; Zhang, Y.D.; Zheng, W.H. Role of Corticotropin Re-leasing Factor in the Neuroimmune Mechanisms of Depression: Examination of Current Pharmaceutical and Herbal Therapies. Front. Cell. Neurosci. 2019, 13, 290, doi:ARTN 29010.3389/fncel.2019.00290.
  10. Wang, Y.; Li, M.; Liang, Y.; Yang, Y.; Liu, Z.; Yao, K.; Chen, Z.; Zhai, S. Chinese Herbal Medicine for the Treatment of De-pression: Applications, Efficacies and Mechanisms. Curr. Pharm. Des. 2017, 23, 5180–5190, doi:10.2174/1381612823666170918120018.
  11. Feng, D.D.; Tang, T.; Lin, X.P.; Yang, Z.Y.; Yang, S.; Xia, Z.A.; Wang, Y.; Zheng, P.; Wang, Y.; Zhang, C.H. Nine traditional Chinese herbal formulas for the treatment of depression: An ethnopharmacology, phytochemistry, and pharmacology review. Neuropsychiatr. Dis. Treat. 2016, 12, 2387–2402, doi:10.2147/NDT.S114560.
  12. Li, C.; Huang, J.; Cheng, Y.C.; Zhang, Y.W. Traditional Chinese Medicine in Depression Treatment: From Molecules to Systems. Front. Pharmacol. 2020, 11, 586, doi:10.3389/fphar.2020.00586.
  13. Chen, G.; Guo, X. Neurobiology of Chinese Herbal Medicine on Major Depressive Disorder. Int. Rev. Neurobiol. 2017, 135, 77–95, doi:10.1016/bs.irn.2017.02.005.
  14. Yeung, W.F.; Chung, K.F.; Ng, K.Y.; Yu, Y.M.; Zhang, S.P.; Ng, B.F.; Ziea, E.T. Prescription of Chinese Herbal Medicine in Pattern-Based Traditional Chinese Medicine Treatment for Depression: A Systematic Review. Evid. Based Complement. Alternat. Med. 2015, 2015, 160189, doi:10.1155/2015/160189.
  15. Jia, K.K.; Zheng, Y.J.; Zhang, Y.X.; Liu, J.H.; Jiao, R.Q.; Pan, Y.; Kong, L.D. Banxia-Houpu decoction restores glucose intolerance in CUMS rats through improvement of insulin signaling and suppression of NLRP3 inflammasome activation in liver and brain. J. Ethnopharmacol. 2017, 209, 219–229, doi:10.1016/j.jep.2017.08.004.
  16. Yi, L.T.; Li, J.; Liu, B.B.; Li, C.F. Screening of the antidepressant-like effect of the traditional Chinese medicinal formula Si-Ni-San and their possible mechanism of action in mice. Pharmacogn. Res. 2013, 5, 36–42, doi:10.4103/0974-8490.105647.
  17. Zong, Y.; Chen, T.; Dong, H.; Zhu, L.; Ju, W. Si-Ni-San Prevents Reserpine-Induced Depression by Inhibiting Inflammation and Regulating CYP450 Enzymatic Activity. Front. Pharmacol. 2019, 10, 1518, doi:10.3389/fphar.2019.01518.
  18. Smith, R.S. The macrophage theory of depression. Med. Hypotheses 1991, 35, 298–306, doi:10.1016/0306-9877(91)90272-z.
  19. Wohleb, E.S.; Franklin, T.; Iwata, M.; Duman, R.S. Integrating neuroimmune systems in the neurobiology of depression. Nat. Rev. Neurosci. 2016, 17, 497–511, doi:10.1038/nrn.2016.69.
  20. Kohler, O.; Krogh, J.; Mors, O.; Benros, M.E. Inflammation in Depression and the Potential for Anti-Inflammatory Treatment. Curr. Neuropharmacol. 2016, 14, 732–742, doi:10.2174/1570159x14666151208113700.
  21. Zhang, J.C.; Yao, W.; Hashimoto, K. Brain-Derived Neurotrophic Factor (BDNF)-TrkB Signaling in Inflammation-Related Depression and Potential Therapeutic Targets. Curr. Neuropharmacol. 2016, 14, 721–731, doi:10.2174/1570159x14666160119094646.
  22. Halaris, A. Inflammation and depression but where does the inflammation come from? Curr. Opin. Psychiatry 2019, 32, 422–428, doi:10.1097/yco.0000000000000531.
  23. Tian, H.; Li, G.; Xu, G.; Liu, J.; Wan, X.; Zhang, J.; Xie, S.; Cheng, J.; Gao, S. Inflammatory cytokines derived from peripheral blood contribute to the modified electroconvulsive therapy-induced cognitive deficits in major depressive disorder. Eur. Arch. Psychiatry Clin. Neurosci. 2020, doi:10.1007/s00406-020-01128-9.
  24. Ng, A.; Tam, W.W.; Zhang, M.W.; Ho, C.S.; Husain, S.F.; McIntyre, R.S.; Ho, R.C. IL-1β, IL-6, TNF-α and CRP in Elderly Patients with Depression or Alzheimer’s disease: Systematic Review and Meta-Analysis. Sci. Rep. 2018, 8, 12050, doi:10.1038/s41598-018-30487-6.
  25. D’Mello, C.; Swain, M.G. Immune-to-Brain Communication Pathways in Inflammation-Associated Sickness and Depression. Curr. Top. Behav. Neurosci. 2017, 31, 73–94, doi:10.1007/7854_2016_37.
  26. Chiu, W.C.; Su, Y.P.; Su, K.P.; Chen, P.C. Recurrence of depressive disorders after interferon-induced depression. Transl. Psychiatry 2017, 7, e1026, doi:10.1038/tp.2016.274.
  27. Zhao, Y.; Shang, P.; Wang, M.; Xie, M.; Liu, J. Neuroprotective Effects of Fluoxetine Against Chronic Stress-Induced Neural Inflammation and Apoptosis: Involvement of the p38 Activity. Front. Physiol. 2020, 11, 351, doi:10.3389/fphys.2020.00351.
  28. Wang, M.; Yan, S.; Zhou, Y.; Xie, P. trans-Cinnamaldehyde Reverses Depressive-Like Behaviors in Chronic Unpredictable Mild Stress Rats by Inhibiting NF-κB/NLRP3 Inflammasome Pathway. Evid. Based Complement. Alternat. Med. 2020, 2020, 4572185, doi:10.1155/2020/4572185.
  29. Dong, X.Z.; Wang, D.X.; Lu, Y.P.; Yuan, S.; Liu, P.; Hu, Y. Antidepressant effects of Kai-Xin-San in fluoxetine-resistant de-pression rats. Braz. J. Med. Biol. Res. 2017, 50, e6161, doi:10.1590/1414-431X20176161.
  30. Dantzer, R.; O’Connor, J.C.; Lawson, M.A.; Kelley, K.W. Inflammation-Associated depression: From serotonin to kynurenine. Psychoneuroendocrinology 2011, 36, 426–436, doi:10.1016/j.psyneuen.2010.09.012.
  31. Zhang, Z.; Song, Z.; Shen, F.; Xie, P.; Wang, J.; Zhu, A.S.; Zhu, G. Ginsenoside Rg1 Prevents PTSD-Like Behaviors in Mice Through Promoting Synaptic Proteins, Reducing Kir4.1 and TNF-α in the Hippocampus. Mol. Neurobiol. 2020, 1–14, doi:10.1007/s12035-020-02213-9.
  32. Miller, A.H.; Raison, C.L. The role of inflammation in depression: From evolutionary imperative to modern treatment target. Nat. Rev. Immunol. 2016, 16, 22–34, doi:10.1038/nri.2015.5.
  33. Turkheimer, F.E.; Althubaity, N.; Schubert, J.; Nettis, M.A.; Cousins, O.; Dima, D.; Mondelli, V.; Bullmore, E.T.; Pariante, C.; Veronese, M. Increased serum peripheral C-reactive protein is associated with reduced brain barriers permeability of TSPO radioligands in healthy volunteers and depressed patients: Implications for inflammation and depression. Brain Behav. Immun. 2020, 91, 487–497, doi:10.1016/j.bbi.2020.10.025.
  34. Rosenblat, J.D.; Cha, D.S.; Mansur, R.B.; McIntyre, R.S. Inflamed moods: A review of the interactions between inflammation and mood disorders. Prog. Neuropsychopharmacol. Biol. Psychiatry 2014, 53, 23–34, doi:10.1016/j.pnpbp.2014.01.013.
  35. Duman, R.S.; Aghajanian, G.K.; Sanacora, G.; Krystal, J.H. Synaptic plasticity and depression: New insights from stress and rapid-acting antidepressants. Nat. Med. 2016, 22, 238–249, doi:10.1038/nm.4050.
  36. Deng, S.L.; Chen, J.G.; Wang, F. Microglia: A Central Player in Depression. Curr. Med. Sci. 2020, 40, 391–400, doi:10.1007/s11596-020-2193-1.
  37. Torres-Platas, S.G.; Cruceanu, C.; Chen, G.G.; Turecki, G.; Mechawar, N. Evidence for increased microglial priming and macrophage recruitment in the dorsal anterior cingulate white matter of depressed suicides. Brain Behav. Immun. 2014, 42, 50–59, doi:10.1016/j.bbi.2014.05.007.
  38. Setiawan, E.; Wilson, A.A.; Mizrahi, R.; Rusjan, P.M.; Miler, L.; Rajkowska, G.; Suridjan, I.; Kennedy, J.L.; Rekkas, P.V.; Houle, S.; et al. Role of translocator protein density, a marker of neuroinflammation, in the brain during major depressive episodes. JAMA Psychiatry 2015, 72, 268–275, doi:10.1001/jamapsychiatry.2014.2427.
  39. Zhang, L.; Zhang, J.; You, Z. Switching of the Microglial Activation Phenotype Is a Possible Treatment for Depression Disorder. Front. Cell. Neurosci. 2018, 12, 306, doi:10.3389/fncel.2018.00306.
  40. Brown, G.C. The endotoxin hypothesis of neurodegeneration. J. Neuroinflamm. 2019, 16, 180, doi:10.1186/s12974-019-1564-7.
  41. Bollinger, J.L.; Wohleb, E.S. The formative role of microglia in stress-induced synaptic deficits and associated behavioral con-sequences. Neurosci. Lett. 2019, 711, 134369, doi:10.1016/j.neulet.2019.134369.
  42. Wohleb, E.S.; Terwilliger, R.; Duman, C.H.; Duman, R.S. Stress-Induced Neuronal Colony Stimulating Factor 1 Provokes Microglia-Mediated Neuronal Remodeling and Depressive-Like Behavior. Biol. Psychiatry 2018, 83, 38–49, doi:10.1016/j.biopsych.2017.05.026.
  43. Wang, Y.S.; Shen, C.Y.; Jiang, J.G. Antidepressant active ingredients from herbs and nutraceuticals used in TCM: Pharmaco-logical mechanisms and prospects for drug discovery. Pharmacol. Res. 2019, 150, 104520, doi:10.1016/j.phrs.2019.104520.
  44. Guan, F.; Lam, W.; Hu, R.; Kim, Y.K.; Han, H.; Cheng, Y.C. Majority of Chinese Medicine Herb Category “Qing Re Yao” Have Multiple Mechanisms of Anti-inflammatory Activity. Sci. Rep. 2018, 8, 7416, doi:10.1038/s41598-018-25813-x.
  45. Lu, Z.B.; Ou, J.Y.; Cao, H.H.; Liu, J.S.; Yu, L.Z. Heat-Clearing Chinese Medicines in Lipopolysaccharide-Induced Inflammation. Chin. J. Integr. Med. 2020, 26, 552–559, doi:10.1007/s11655-020-3256-7.
  46. Panossian, A.; Brendler, T. The Role of Adaptogens in Prophylaxis and Treatment of Viral Respiratory Infections. Pharmaceu-ticals 2020, 13, 236, doi:10.3390/ph13090236.
  47. Adzic, M.; Brkic, Z.; Mitic, M.; Francija, E.; Jovicic, M.J.; Radulovic, J.; Maric, N.P. Therapeutic Strategies for Treatment of Inflammation-related Depression. Curr. Neuropharmacol. 2018, 16, 176–209, doi:10.2174/1570159X15666170828163048.
  48. Young, J.J.; Bruno, D.; Pomara, N. A review of the relationship between proinflammatory cytokines and major depressive disorder. J. Affect. Disord. 2014, 169, 15–20, doi:10.1016/j.jad.2014.07.032.
  49. Zhang, Z.D.; Li, H.; Wan, F.; Su, X.Y.; Lu, Y.; Chen, D.F.; Zhang, Y.Y. Polysaccharides extracted from the roots of Bupleurum chinense DC modulates macrophage functions. Chin. J. Nat. Med. 2017, 15, 889–898, doi:10.1016/S1875-5364(18)30004-9.
  50. Shiu, L.Y.; Huang, H.H.; Chen, C.Y.; Cheng, H.Y.; Chen, C.I.; Kuo, S.M. Reparative and toxicity-reducing effects of lipo-some-encapsulated saikosaponin in mice with liver fibrosis. Biosci. Rep. 2020, 40, BSR20201219, doi:10.1042/BSR20201219.
  51. Zhang, B.Z.; Guo, X.T.; Chen, J.W.; Zhao, Y.; Cong, X.; Jiang, Z.L.; Cao, R.F.; Cui, K.; Gao, S.S.; Tian, W.R. Saikosaponin-D attenuates heat stress-induced oxidative damage in LLC-PK1 cells by increasing the expression of anti-oxidant enzymes and HSP72. Am. J. Chin. Med. 2014, 42, 1261–1277, doi:10.1142/S0192415X14500797.
  52. Su, J.; Pan, Y.W.; Wang, S.Q.; Li, X.Z.; Huang, F.; Ma, S.P. Saikosaponin-d attenuated lipopolysaccharide-induced depres-sive-like behaviors via inhibiting microglia activation and neuroinflammation. Int. Immunopharmacol. 2020, 80, 106181, doi:10.1016/j.intimp.2019.106181.
  53. Chen, X.Q.; Chen, S.J.; Liang, W.N.; Wang, M.; Li, C.F.; Wang, S.S.; Dong, S.Q.; Yi, L.T.; Li, C.D. Saikosaponin A attenuates perimenopausal depression-like symptoms by chronic unpredictable mild stress. Neurosci. Lett. 2018, 662, 283–289, doi:10.1016/j.neulet.2017.09.046.
  54. Li, J.; Zhao, R.; Li, X.; Sun, W.; Qu, M.; Tang, Q.; Yang, X.; Zhang, S. Shen-Qi-Jie-Yu-Fang exerts effects on a rat model of postpartum depression by regulating inflammatory cytokines and CD4+CD25+ regulatory T cells. Neuropsychiatr. Dis. Treat. 2016, 12, 883–896, doi:10.2147/NDT.S98131.
  55. Su, W.J.; Zhang, Y.; Chen, Y.; Gong, H.; Lian, Y.J.; Peng, W.; Liu, Y.Z.; Wang, Y.X.; You, Z.L.; Feng, S.J.; et al. NLRP3 gene knockout blocks NF-κB and MAPK signaling pathway in CUMS-induced depression mouse model. Behav. Brain Res. 2017, 322, 1–8, doi:10.1016/j.bbr.2017.01.018.
  56. Ji, H.F.; Zhuang, Q.S.; Shen, L. Genetic overlap between type 2 diabetes and major depressive disorder identified by bioin-formatics analysis. Oncotarget 2016, 7, 17410–17414, doi:10.18632/oncotarget.8202.
  57. Wang, M.; Zhou, W.; Zhou, X.; Zhuang, F.; Chen, Q.; Li, M.; Ma, T.; Gu, S. Antidepressant-Like effects of alarin produced by activation of TrkB receptor signaling pathways in chronic stress mice. Behav. Brain Res. 2015, 280, 128–140, doi:10.1016/j.bbr.2014.11.039.
  58. Masson, J.; Emerit, M.B.; Hamon, M.; Darmon, M. Serotonergic signaling: Multiple effectors and pleiotropic effects. Wiley Interdiscip. Rev. Membr. Transp. Signal. 2012, 1, 685–713, doi:10.1002/wmts.50.
  59. Duric, V.; Banasr, M.; Licznerski, P.; Schmidt, H.D.; Stockmeier, C.A.; Simen, A.A.; Newton, S.S.; Duman, R.S. A negative regulator of MAP kinase causes depressive behavior. Nat. Med. 2010, 16, 1328–1332, doi:10.1038/nm.2219.
  60. Welcome, M.O.; Mastorakis, N.E. Stress-Induced blood brain barrier disruption: Molecular mechanisms and signaling path-ways. Pharmacol. Res. 2020, 157, 104769, doi:10.1016/j.phrs.2020.104769.
  61. Chiang, J.J.; Cole, S.W.; Bower, J.E.; Irwin, M.R.; Taylor, S.E.; Arevalo, J.; Fuligni, A. Depressive symptoms and immune transcriptional profiles in late adolescents. Brain Behav. Immun. 2019, 80, 163–169, doi:10.1016/j.bbi.2019.03.004.
  62. Liu, W.; Jiang, H.L.; Cai, L.L.; Yan, M.; Dong, S.J.; Mao, B. Tanreqing Injection Attenuates Lipopolysaccharide-Induced Airway Inflammation through MAPK/NF-κB Signaling Pathways in Rats Model. Evid. Based Complement. Alternat. Med. 2016, 2016, 5292346, doi:10.1155/2016/5292346.
  63. Shih, R.H.; Wang, C.Y.; Yang, C.M. NF-κB Signaling Pathways in Neurological Inflammation: A Mini Review. Front. Mol. Neurosci. 2015, 8, 77, doi:10.3389/fnmol.2015.00077.
  64. Lopez-Pedrajas, R.; Ramirez-Lamelas, D.T.; Muriach, B.; Sanchez-Villarejo, M.V.; Almansa, I.; Vidal-Gil, L.; Romero, F.J.; Barcia, J.M.; Muriach, M. Cocaine promotes oxidative stress and microglial-macrophage activation in rat cerebellum. Front. Cell. Neurosci. 2015, 9, 279, doi:10.3389/fncel.2015.00279.
  65. Kaltschmidt, B.; Kaltschmidt, C. NF-κB in the nervous system. Cold Spring Harb. Perspect. Biol. 2009, 1, a001271, doi:10.1101/cshperspect.a001271.
  66. Caviedes, A.; Lafourcade, C.; Soto, C.; Wyneken, U. BDNF/NF-κB Signaling in the Neurobiology of Depression. Curr. Pharm. Des. 2017, 23, 3154–3163, doi:10.2174/1381612823666170111141915.
  67. Pradere, J.P.; Hernandez, C.; Koppe, C.; Friedman, R.A.; Luedde, T.; Schwabe, R.F. Negative regulation of NF-κB p65 activity by serine 536 phosphorylation. Sci. Signal. 2016, 9, ra85, doi:10.1126/scisignal.aab2820.
  68. Koo, J.W.; Russo, S.J.; Ferguson, D.; Nestler, E.J.; Duman, R.S. Nuclear factor-κB is a critical mediator of stress-impaired neu-rogenesis and depressive behavior. Proc. Natl. Acad. Sci. USA 2010, 107, 2669–2674, doi:10.1073/pnas.0910658107.
  69. Bottcher, M.; Muller-Fielitz, H.; Sundaram, S.M.; Gallet, S.; Neve, V.; Shionoya, K.; Zager, A.; Quan, N.; Liu, X.; Schmidt-Ullrich, R.; et al. NF-κB signaling in tanycytes mediates inflammation-induced anorexia. Mol. Metab. 2020, 39, 101022, doi:10.1016/j.molmet.2020.101022.
  70. Jin, Y.; Cui, R.; Zhao, L.; Fan, J.; Li, B. Mechanisms of Panax ginseng action as an antidepressant. Cell Prolif. 2019, 52, e12696, doi:10.1111/cpr.12696.
  71. Lou, T.; Huang, Q.; Su, H.; Zhao, D.; Li, X. Targeting Sirtuin 1 signaling pathway by ginsenosides. J. Ethnopharmacol. 2020, 268, 113657, doi:10.1016/j.jep.2020.113657.
  72. Jiang, N.; Lv, J.; Wang, H.; Huang, H.; Wang, Q.; Lu, C.; Zeng, G.; Liu, X.M. Ginsenoside Rg1 ameliorates chronic social defeat stress-induced depressive-like behaviors and hippocampal neuroinflammation. Life Sci. 2020, 252, 117669, doi:10.1016/j.lfs.2020.117669.
  73. Fan, C.; Song, Q.; Wang, P.; Li, Y.; Yang, M.; Yu, S.Y. Neuroprotective Effects of Ginsenoside-Rg1 Against Depression-Like Behaviors via Suppressing Glial Activation, Synaptic Deficits, and Neuronal Apoptosis in Rats. Front. Immunol. 2018, 9, 2889, doi:10.3389/fimmu.2018.02889.
  74. Hu, J.F.; Song, X.Y.; Chu, S.F.; Chen, J.; Ji, H.J.; Chen, X.Y.; Yuan, Y.H.; Han, N.; Zhang, J.T.; Chen, N.H. Inhibitory effect of ginsenoside Rg1 on lipopolysaccharide-induced microglial activation in mice. Brain Res. 2011, 1374, 8–14, doi:10.1016/j.brainres.2010.11.069.
  75. Kaufmann, F.N.; Costa, A.P.; Ghisleni, G.; Diaz, A.P.; Rodrigues, A.L.S.; Peluffo, H.; Kaster, M.P. NLRP3 inflammasome-driven pathways in depression: Clinical and preclinical findings. Brain Behav. Immun. 2017, 64, 367–383, doi:10.1016/j.bbi.2017.03.002.
  76. Arbore, G.; Kemper, C. A novel “complement-metabolism-inflammasome axis” as a key regulator of immune cell effector function. Eur. J. Immunol. 2016, 46, 1563–1573, doi:10.1002/eji.201546131.
  77. Walsh, J.G.; Muruve, D.A.; Power, C. Inflammasomes in the CNS. Nat. Rev. Neurosci. 2014, 15, 84–97, doi:10.1038/nrn3638.
  78. Shao, B.Z.; Cao, Q.; Liu, C. Targeting NLRP3 Inflammasome in the Treatment of CNS Diseases. Front. Mol. Neurosci. 2018, 11, 320, doi:10.3389/fnmol.2018.00320.
  79. Alcocer-Gómez, E.; de Miguel, M.; Casas-Barquero, N.; Núñez-Vasco, J.; Sánchez-Alcazar, J.A.; Fernández-Rodríguez, A.; Cordero, M.D. NLRP3 inflammasome is activated in mononuclear blood cells from patients with major depressive disorder. Brain Behav. Immun. 2014, 36, 111–117, doi:10.1016/j.bbi.2013.10.017.
  80. Zhang, Y.; Liu, L.; Liu, Y.Z.; Shen, X.L.; Wu, T.Y.; Zhang, T.; Wang, W.; Wang, Y.X.; Jiang, C.L. NLRP3 Inflammasome Mediates Chronic Mild Stress-Induced Depression in Mice via Neuroinflammation. Int. J. Neuropsychopharmacol. 2015, 18, pyv006, doi:10.1093/ijnp/pyv006.
  81. Zhang, Y.; Liu, L.; Peng, Y.L.; Liu, Y.Z.; Wu, T.Y.; Shen, X.L.; Zhou, J.R.; Sun, D.Y.; Huang, A.J.; Wang, X.; et al. Involvement of inflammasome activation in lipopolysaccharide-induced mice depressive-like behaviors. CNS Neurosci. Ther. 2014, 20, 119–124, doi:10.1111/cns.12170.
  82. Fu, Y.; Yang, P.; Zhao, Y.; Zhang, L.; Zhang, Z.; Dong, X.; Wu, Z.; Xu, Y.; Chen, Y. trans-Cinnamaldehyde Inhibits Microglial Activation and Improves Neuronal Survival against Neuroinflammation in BV2 Microglial Cells with Lipopolysaccharide Stimulation. Evid. Based Complement. Alternat. Med. 2017, 2017, 4730878, doi:10.1155/2017/4730878.
  83. Liu, B.; Xu, C.; Wu, X.; Liu, F.; Du, Y.; Sun, J.; Tao, J.; Dong, J. Icariin exerts an antidepressant effect in an unpredictable chronic mild stress model of depression in rats and is associated with the regulation of hippocampal neuroinflammation. Neuroscience 2015, 294, 193–205, doi:10.1016/j.neuroscience.2015.02.053.
  84. Nair, A.B.; Jacob, S. A simple practice guide for dose conversion between animals and human. J. Basic Clin. Pharm. 2016, 7, 27–31, doi:10.4103/0976-0105.177703.
  85. Juruena, M.F. Early-Life stress and HPA axis trigger recurrent adulthood depression. Epilepsy Behav. 2014, 38, 148–159, doi:10.1016/j.yebeh.2013.10.020.
  86. Juruena, M.F.; Agustini, B.; Cleare, A.J.; Young, A.H. A translational approach to clinical practice via stress-responsive glu-cocorticoid receptor signaling. Stem Cell Investig. 2017, 4, 13, doi:10.21037/sci.2017.02.01.
  87. Pandey, G.N.; Rizavi, H.S.; Bhaumik, R.; Ren, X. Increased protein and mRNA expression of corticotropin-releasing factor (CRF), decreased CRF receptors and CRF binding protein in specific postmortem brain areas of teenage suicide subjects. Psy-choneuroendocrinology 2019, 106, 233–243, doi:10.1016/j.psyneuen.2019.04.015.
  88. Horchar, M.J.; Wohleb, E.S. Glucocorticoid receptor antagonism prevents microglia-mediated neuronal remodeling and be-havioral despair following chronic unpredictable stress. Brain Behav. Immun. 2019, 81, 329–340, doi:10.1016/j.bbi.2019.06.030.
  89. Pariante, C.M.; Lightman, S.L. The HPA axis in major depression: Classical theories and new developments. Trends Neurosci. 2008, 31, 464–468, doi:10.1016/j.tins.2008.06.006.
  90. Gillespie, C.F.; Nemeroff, C.B. Hypercortisolemia and depression. Psychosom. Med. 2005, 67, S26–S28, doi:10.1097/01.psy.0000163456.22154.d2.
  91. D’Alessio, L.; Mesarosova, L.; Anink, J.J.; Kochen, S.; Solis, P.; Oddo, S.; Konopka, H.; Lyer, A.M.; Mühlebner, A.; Lucassen, P.J.; et al. Reduced expression of the glucocorticoid receptor in the hippocampus of patients with drug-resistant temporal lobe ep-ilepsy and comorbid depression. Epilepsia 2020, 61, 1595–1605, doi:10.1111/epi.16598.
  92. Yang, X.H.; Song, S.Q.; Xu, Y. Resveratrol ameliorates chronic unpredictable mild stress-induced depression-like behavior: Involvement of the HPA axis, inflammatory markers, BDNF, and Wnt/β-catenin pathway in rats. Neuropsychiatr. Dis. Treat. 2017, 13, 2727–2736, doi:10.2147/NDT.S150028.
  93. Li, H.Y.; Zhao, Y.H.; Zeng, M.J.; Fang, F.; Li, M.; Qin, T.T.; Ye, L.Y.; Li, H.W.; Qu, R.; Ma, S.P. Saikosaponin D relieves un-predictable chronic mild stress induced depressive-like behavior in rats: Involvement of HPA axis and hippocampal neuro-genesis. Psychopharmacology 2017, 234, 3385–3394, doi:10.1007/s00213-017-4720-8.
  94. Pariante, C.M.; Lightman, S.L. The HPA axis in major depression: Classical theories and new developments. Trends Neurosci. 2008, 31, 464–468, doi:10.1016/j.tins.2008.06.006.
  95. Gillespie, C.F.; Nemeroff, C.B. Hypercortisolemia and depression. Psychosom. Med. 2005, 67, S26–S28, doi:10.1097/01.psy.0000163456.22154.d2.
  96. D’Alessio, L.; Mesarosova, L.; Anink, J.J.; Kochen, S.; Solis, P.; Oddo, S.; Konopka, H.; Lyer, A.M.; Mühlebner, A.; Lucassen, P.J.; et al. Reduced expression of the glucocorticoid receptor in the hippocampus of patients with drug-resistant temporal lobe ep-ilepsy and comorbid depression. Epilepsia 2020, 61, 1595–1605, doi:10.1111/epi.16598.
  97. Waters, R.P.; Rivalan, M.; Bangasser, D.A.; Deussing, J.M.; Ising, M.; Wood, S.K.; Holsboer, F.; Summers, C.H. Evidence for the role of corticotropin-releasing factor in major depressive disorder. Neurosci. Biobehav. Rev. 2015, 58, 63–78, doi:10.1016/j.neubiorev.2015.07.011.
  98. Fahmy, H.; Kuppast, B.; Ismail, M.T. Structure and Function of Small Non-Peptide CRF Antagonists and Their Potential Clinical Use. Curr. Mol. Pharmacol. 2017, 10, 270–281, doi:10.2174/1874467209666161101144155.
  99. Bhutada, P.; Mundhada, Y.; Bansod, K.; Ubgade, A.; Quazi, M.; Umathe, S.; Mundhada, D. Reversal by quercetin of cortico-trophin releasing factor induced anxiety- and depression-like effect in mice. Prog. Neuropsychopharmacol. Biol. Psychiatry 2010, 34, 955–960, doi:10.1016/j.pnpbp.2010.04.025.
  100. Kawabata, K.; Kawai, Y.; Terao, J. Suppressive effect of quercetin on acute stress-induced hypothalamic-pituitary-adrenal axis response in Wistar rats. J. Nutr. Biochem. 2010, 21, 374–380, doi:10.1016/j.jnutbio.2009.01.008.
  101. Ketchesin, K.D.; Stinnett, G.S.; Seasholtz, A.F. Corticotropin-Releasing hormone-binding protein and stress: From invertebrates to humans. Stress 2017, 20, 449–464, doi:10.1080/10253890.2017.1322575.
  102. Nielsen, D.M. Corticotropin-Releasing factor type-1 receptor antagonists: The next class of antidepressants? Life Sci. 2006, 78, 909–919, doi:10.1016/j.lfs.2005.06.003.
  103. Henckens, M.J.; Deussing, J.M.; Chen, A. Region-Specific roles of the corticotropin-releasing factor-urocortin system in stress. Nat. Rev. Neurosci. 2016, 17, 636–651, doi:10.1038/nrn.2016.94.
  104. Im, E. Multi-Facets of Corticotropin-Releasing Factor in Modulating Inflammation and Angiogenesis. J. Neurogastroenterol. Motil. 2015, 21, 25–32, doi:10.5056/jnm14076.
  105. Dedic, N.; Chen, A.; Deussing, J.M. The CRF Family of Neuropeptides and their Receptors—Mediators of the Central Stress Response. Curr. Mol. Pharmacol. 2018, 11, 4–31, doi:10.2174/1874467210666170302104053.
  106. Paez-Pereda, M.; Hausch, F.; Holsboer, F. Corticotropin releasing factor receptor antagonists for major depressive disorder. Expert Opin. Investig. Drugs 2011, 20, 519–535, doi:10.1517/13543784.2011.565330.
  107. Menke, A. Is the HPA Axis as Target for Depression Outdated, or Is There a New Hope? Front. Psychiatry 2019, 10, 101, doi:10.3389/fpsyt.2019.00101.
  108. Jutkiewicz, E.M.; Wood, S.K.; Houshyar, H.; Hsin, L.W.; Rice, K.C.; Woods, J.H. The effects of CRF antagonists, antalarmin, CP154,526, LWH234, and R121919, in the forced swim test and on swim-induced increases in adrenocorticotropin in rats. Psychopharmacology 2005, 180, 215–223, doi:10.1007/s00213-005-2164-z.
  109. Thiagarajah, A.S.; Eades, L.E.; Thomas, P.R.; Guymer, E.K.; Morand, E.F.; Clarke, D.M.; Leech, M. GILZ: Glitzing up our un-derstanding of the glucocorticoid receptor in psychopathology. Brain Res. 2014, 1574, 60–69, doi:10.1016/j.brainres.2014.06.008.
  110. Simmen, U.; Bobirnac, I.; Ullmer, C.; Lübbert, H.; Berger Büter, K.; Schaffner, W.; Schoeffter, P. Antagonist effect of pseudo-hypericin at CRF1 receptors. Eur. J. Pharmacol. 2003, 458, 251–256, doi:10.1016/s0014-2999(02)02818-2.
  111. Thiagarajah, A.S.; Eades, L.E.; Thomas, P.R.; Guymer, E.K.; Morand, E.F.; Clarke, D.M.; Leech, M. GILZ: Glitzing up our un-derstanding of the glucocorticoid receptor in psychopathology. Brain Res. 2014, 1574, 60–69, doi:10.1016/j.brainres.2014.06.008.
  112. Leistner, C.; Menke, A. How to measure glucocorticoid receptor’s sensitivity in patients with stress-related psychiatric disorders. Psychoneuroendocrinology 2018, 91, 235–260, doi:10.1016/j.psyneuen.2018.01.023.
  113. Moraitis, A.G.; Block, T.; Nguyen, D.; Belanoff, J.K. The role of glucocorticoid receptors in metabolic syndrome and psychiatric illness. J. Steroid Biochem. Mol. Biol. 2017, 165, 114–120, doi:10.1016/j.jsbmb.2016.03.023.
  114. Sarubin, N.; Hilbert, S.; Naumann, F.; Zill, P.; Wimmer, A.M.; Nothdurfter, C.; Rupprecht, R.; Baghai, T.C.; Bühner,M.; Schüle, C. The sex-dependent role of the glucocorticoid receptor in depression: Variations in the NR3C1 gene are associated with major depressive disorder in women but not in men. Eur. Arch. Psychiatry Clin. Neurosci. 2017, 267, 123–133, doi:10.1007/s00406-016-0722-5.
  115. Pandey, G.N.; Rizavi, H.S.; Ren, X.; Dwivedi, Y.; Palkovits, M. Region-Specific alterations in glucocorticoid receptor expression in the postmortem brain of teenage suicide victims. Psychoneuroendocrinology 2013, 38, 2628–2639, doi:10.1016/j.psyneuen.2013.06.020.
  116. Guidotti, G.; Calabrese, F.; Anacker, C.; Racagni, G.; Pariante, C.M.; Riva, M.A. Glucocorticoid receptor and FKBP5 expression is altered following exposure to chronic stress: Modulation by antidepressant treatment. Neuropsychopharmacology 2013, 38, 616–627, doi:10.1038/npp.2012.225.
  117. Van Rossum, E.F.; Binder, E.B.; Majer, M.; Koper, J.W.; Ising, M.; Modell, S.; Salyakina, D.; Lamberts, S.W.; Holsboer, F. Pol-ymorphisms of the glucocorticoid receptor gene and major depression. Biol. Psychiatry 2006, 59, 681–688, doi:10.1016/j.biopsych.2006.02.007.
  118. Block, T.S.; Kushner, H.; Kalin, N.; Nelson, C.; Belanoff, J.; Schatzberg, A. Combined Analysis of Mifepristone for Psychotic Depression: Plasma Levels Associated with Clinical Response. Biol. Psychiatry 2018, 84, 46–54, doi:10.1016/j.biopsych.2018.01.008.
  119. Soria, V.; Gonzalez-Rodriguez, A.; Huerta-Ramos, E.; Usall, J.; Cobo, J.; Bioque, M.; Barbero, J.D.; García-Rizo, C.; Tost, M.; Monreal, J.A.; et al. Targeting hypothalamic-pituitary-adrenal axis hormones and sex steroids for improving cognition in major mood disorders and schizophrenia: A systematic review and narrative synthesis. Psychoneuroendocrinology 2018, 93, 8–19, doi:10.1016/j.psyneuen.2018.04.012.
  120. Wang, W.; Liu, L.; Yang, X.; Gao, H.; Tang, Q.K.; Yin, L.Y.; Yin, X.Y.; Hao, J.R.; Geng, D.Q.; Gao, C. Ketamine improved de-pressive-like behaviors via hippocampal glucocorticoid receptor in chronic stress induced-susceptible mice. Behav. Brain Res. 2019, 364, 75–84, doi:10.1016/j.bbr.2019.01.057.
  121. Garde, D. Corcept Tanks as Depression Drug Comes Up Short In Phase III. Available online: https://www.fiercebiotech.com/biotech/corcept-tanks-as-depression-drug-comes-up-short-phase-iii (accessed on May 5, 2014.).
  122. Clark, R.D. Glucocorticoid receptor antagonists. Curr. Top. Med. Chem. 2008, 8, 813–838, doi:10.2174/156802608784535011.
  123. Luo, Y.; Yang, M.; Guo, M.; Zhong, X.; Hu, Y. Huang Qin Hua Shi decoction for high-temperature- and high-humidity-induced cognitive-behavioral disorder in rats is associated with deactivation of the hypothalamic-pituitary-adrenal axis. J. Int. Med. Res. 2019, 47, 5752–5766, doi:10.1177/0300060519875369.
  124. Luo, Y.; Yang, M.; Guo, M.; Zhong, X.; Hu, Y. Huang Qin Hua Shi decoction for high-temperature- and high-humidity-induced cognitive-behavioral disorder in rats is associated with deactivation of the hypothalamic-pituitary-adrenal axis. J. Int. Med. Res. 2019, 47, 5752–5766, doi:10.1177/0300060519875369.
  125. Horowitz, M.A.; Cattaneo, A.; Cattane, N.; Lopizzo, N.; Tojo, L.; Bakunina, N.; Musaelyan, K.; Borsini, A.; Zunszain, P.A.; Pariante, C.M. Glucocorticoids prime the inflammatory response of human hippocampal cells through up-regulation of in-flammatory pathways. Brain Behav. Immun. 2020, 87, 777–794, doi:10.1016/j.bbi.2020.03.012.
  126. Bottasso, E. Toward the Existence of a Sympathetic Neuroplasticity Adaptive Mechanism Influencing the Immune Response. A Hypothetical View-Part II. Front. Endocrinol. 2019, 10, 633, doi:10.3389/fendo.2019.00633.
  127. Dai, S.; Mo, Y.; Wang, Y.; Xiang, B.; Liao, Q.; Zhou, M.; Li, X.; Li, Y.; Xiong, W.; Li, G.; et al. Chronic Stress Promotes Cancer Development. Front. Oncol. 2020, 10, 1492, doi:10.3389/fonc.2020.01492.
  128. Chrousos, G.P.; Gold, P.W. The concepts of stress and stress system disorders. Overview of physical and behavioral homeo-stasis. J. Am Med. Assoc. 1992, 267, 1244–1252, doi:10.1001/jama.1992.03480090092034.
  129. Chrousos, G.P. Stress and disorders of the stress system. Nat. Rev. Endocrinol. 2009, 5, 374–381, doi:10.1038/nrendo.2009.106.
  130. Bellavance, M.A.; Rivest, S. The HPA—Immune Axis and the Immunomodulatory Actions of Glucocorticoids in the Brain. Front. Immunol. 2014, 5, 136, doi:10.3389/fimmu.2014.00136.
  131. Dantzer, R. Neuroimmune Interactions: From the Brain to the Immune System and Vice Versa. Physiol. Rev. 2018, 98, 477–504, doi:10.1152/physrev.00039.2016.
  132. Newton, R.; Holden, N.S. Separating transrepression and transactivation: A distressing divorce for the glucocorticoid receptor? Mol. Pharmacol. 2007, 72, 799–809, doi:10.1124/mol.107.038794.
  133. De Bosscher, K.; Vanden Berghe, W.; Haegeman, G. The interplay between the glucocorticoid receptor and nuclear factor-κB or activator protein-1: Molecular mechanisms for gene repression. Endocr. Rev. 2003, 24, 488–522, doi:10.1210/er.2002-0006.
  134. Bekhbat, M.; Rowson, S.A.; Neigh, G.N. Checks and balances: The glucocorticoid receptor and NFκB in good times and bad. Front. Neuroendocrinol. 2017, 46, 15–31, doi:10.1016/j.yfrne.2017.05.001.
  135. Wang, D.; Lin, W.; Pan, Y.; Kuang, X.; Qi, X.; Sun, H. Chronic blockade of glucocorticoid receptors by RU486 enhances lipo-polysaccharide-induced depressive-like behaviour and cytokine production in rats. Brain Behav. Immun. 2011, 25, 706–714, doi:10.1016/j.bbi.2011.01.011.
  136. Troubat, R.; Barone, P.; Leman, S.; Desmidt, T.; Cressant, A.; Atanasova, B.; Brizard, B.; Hage, W.E.; Surget, A.; Belzung, C.; et al. Neuroinflammation and depression: A review. Eur. J. Neurosci. 2020, doi:10.1111/ejn.14720.
  137. Li, K.D.; Yan, K.; Wang, Q.S.; Tian, J.S.; Xu, D.; Zhang, W.Y.; Cui, Y.L. Antidepressant-Like effects of dietary gardenia blue pigment derived from genipin and tyrosine. Food Funct. 2019, 10, 4533–4545, doi:10.1039/c9fo00480g.
  138. Dunn, A.J. Effects of cytokines and infections on brain neurochemistry. Clin. Neurosci. Res. 2006, 6, 52–68, doi:10.1016/j.cnr.2006.04.002.
  139. Chen, H.; Shi, H.; Liu, Y.; Ren, X.; He, S.; Chang, X.; Yin, Y. Activation of corticotropin-releasing factor receptor 1 aggravates dextran sodium sulphate-induced colitis in mice by promoting M1 macrophage polarization. Mol. Med. Rep. 2018, 17, 234–242, doi:10.3892/mmr.2017.7909.
  140. Knapp, D.J.; Whitman, B.A.; Wills, T.A.; Angel, R.A.; Overstreet, D.H.; Criswell, H.E.; Ming, Z.; Breese, G.R. Cytokine in-volvement in stress may depend on corticotrophin releasing factor to sensitize ethanol withdrawal anxiety. Brain Behav. Immun. 2011, 25, S146–S154, doi:10.1016/j.bbi.2011.02.018.
  141. Chatoo, M.; Li, Y.; Ma, Z.; Coote, J.; Du, J.; Chen, X. Involvement of Corticotropin-Releasing Factor and Receptors in Immune Cells in Irritable Bowel Syndrome. Front. Endocrinol. 2018, 9, 21, doi:10.3389/fendo.2018.00021.
  142. Frank, M.G.; Weber, M.D.; Watkins, L.R.; Maier, S.F. Stress sounds the alarmin: The role of the danger-associated molecular pattern HMGB1 in stress-induced neuroinflammatory priming. Brain Behav. Immun. 2015, 48, 1–7, doi:10.1016/j.bbi.2015.03.010.
  143. Alvarez-Carbonell, D.; Ye, F.; Ramanath, N.; Dobrowolski, C.; Karn, J. The Glucocorticoid Receptor Is a Critical Regulator of HIV Latency in Human Microglial Cells. J. Neuroimmune Pharmacol. 2019, 14, 94–109, doi:10.1007/s11481-018-9798-1.
  144. Wang, W.; Ji, P.; Dow, K.E. Corticotropin-Releasing hormone induces proliferation and TNF-α release in cultured rat microglia via MAP kinase signalling pathways. J. Neurochem. 2003, 84, 189–195, doi:10.1046/j.1471-4159.2003.01544.x.
  145. Herrera, A.J.; Espinosa-Oliva, A.M.; Carrillo-Jimenez, A.; Oliva-Martin, M.J.; Garcia-Revilla, J.; Garcia-Quintanilla, A.; Pablos, R.M.; Venero, J.L. Relevance of chronic stress and the two faces of microglia in Parkinson’s disease. Front. Cell. Neurosci. 2015, 9, 312, doi:10.3389/fncel.2015.00312.
  146. Kato, T.A.; Hayakawa, K.; Monji, A.; Kanba, S. Missing and Possible Link between Neuroendocrine Factors, Neuropsychiatric Disorders, and Microglia. Front. Integr. Neurosci. 2013, 7, 53, doi:10.3389/fnint.2013.00053.
  147. Raison, C.L.; Borisov, A.S.; Woolwine, B.J.; Massung, B.; Vogt, G.; Miller, A.H. Interferon-α effects on diurnal hypothalam-ic-pituitary-adrenal axis activity: Relationship with proinflammatory cytokines and behavior. Mol. Psychiatry 2010, 15, 535–547, doi:10.1038/mp.2008.58.
  148. Panossian, A.; Seo, E.J.; Efferth, T. Novel molecular mechanisms for the adaptogenic effects of herbal extracts on isolated brain cells using systems biology. Phytomedicine 2018, 50, 257–284, doi:10.1016/j.phymed.2018.09.204.
  149. Panossian, A.G.; Efferth, T.; Shikov, A.N.; Pozharitskaya, O.N.; Kuchta, K.; Mukherjee, P.K.; Banerjee, S.; Heinrich, M.; Wu, W.; Guo, D.A.; et al. Evolution of the adaptogenic concept from traditional use to medical systems: Pharmacology of stress- and aging-related diseases. Med. Res. Rev. 2021, 41, 630–703, doi:10.1002/med.21743.
  150. Amsterdam, J.D.; Panossian, A.G. Rhodiola rosea L. as a putative botanical antidepressant. Phytomedicine 2016, 23, 770–783, doi:10.1016/j.phymed.2016.02.009.
  151. Fu, H.; Xu, Z.; Zhang, X.L.; Zheng, G.Q. Kaixinsan, a Well-Known Chinese Herbal Prescription, for Alzheimer’s Disease and Depression: A Preclinical Systematic Review. Front. Neurosci. 2019, 13, 1421, doi:10.3389/fnins.2019.01421.
  152. Hu, Y.; Liu, X.; Zhang, T.; Chen, C.; Dong, X.; Can, Y.; Liu, P. Behavioral and Biochemical Effects of KXS on Postmyocardial Infarction Depression. Front. Pharmacol. 2020, 11, 561817, doi:10.3389/fphar.2020.561817.
  153. Dang, H.; Sun, L.; Liu, X.; Peng, B.; Wang, Q.; Jia, W.; Chen, Y.; Pan, A.; Xiao, P. Preventive action of Kai Xin San aqueous extract on depressive-like symptoms and cognition deficit induced by chronic mild stress. Exp. Biol. Med. 2009, 234, 785–793, doi:10.3181/0812-RM-354.
  154. Li, Y.; Wang, L.; Wang, P.; Fan, C.; Zhang, P.; Shen, J.; Yu, S.Y. Ginsenoside-Rg1 Rescues Stress-Induced Depression-Like Behaviors via Suppression of Oxidative Stress and Neural Inflammation in Rats. Oxid. Med. Cell. Longev. 2020, 2020, 2325391, doi:10.1155/2020/2325391.
  155. Lee, K.J.; Ji, G.E. The effect of fermented red ginseng on depression is mediated by lipids. Nutr. Neurosci. 2014, 17, 7–15, doi:10.1179/1476830513y.0000000059.
  156. Lee, Y.Y.; Park, J.S.; Lee, E.J.; Lee, S.Y.; Kim, D.H.; Kang, J.L.; Kim, H.S. Anti-Inflammatory mechanism of ginseng saponin metabolite Rh3 in lipopolysaccharide-stimulated microglia: Critical role of 5′-adenosine monophosphate-activated protein kinase signaling pathway. J. Agric. Food Chem. 2015, 63, 3472–3480, doi:10.1021/jf506110y.
  157. Ke, L.; Guo, W.; Xu, J.; Zhang, G.; Wang, W.; Huang, W. Ginsenoside Rb1 attenuates activated microglia-induced neuronal damage. Neural Regen. Res. 2014, 9, 252–259, doi:10.4103/1673-5374.128217.
  158. Chen, S.; Li, X.; Wang, Y.; Mu, P.; Chen, C.; Huang, P.; Liu, D. Ginsenoside Rb1 attenuates intestinal ische-mia/reperfusion‑induced inflammation and oxidative stress via activation of the PI3K/Akt/Nrf2 signaling pathway. Mol. Med. Rep. 2019, 19, 3633–3641, doi:10.3892/mmr.2019.10018.
  159. Shi, Y.; Wang, H.; Zheng, M.; Xu, W.; Yang, Y.; Shi, F. Ginsenoside Rg3 suppresses the NLRP3 inflammasome activation through inhibition of its assembly. FASEB J. 2020, 34, 208–221, doi:10.1096/fj.201901537R.
  160. Lee, W.; Cho, S.H.; Kim, J.E.; Lee, C.; Lee, J.H.; Baek, M.C.; Song, G.Y.; Bae, J.S. Suppressive Effects of Ginsenoside Rh1 on HMGB1-Mediated Septic Responses. Am. J. Chin. Med. 2019, 47, 119–133, doi:10.1142/S0192415X1950006X.
  161. Kim, Y.; Lee, H.Y.; Choi, Y.J.; Cho, S.H. Antidepressant effects of ginsenoside Rf on behavioral change in the glial degeneration model of depression by reversing glial loss. J. Ginseng Res. 2020, 44, 603–610, doi:10.1016/j.jgr.2019.08.005.
  162. Li, Z.; Zhao, L.; Chen, J.; Liu, C.; Li, S.; Hua, M.; Qu, D.; Shao, Z.; Sun, Y. Ginsenoside Rk1 alleviates LPS-induced depres-sion-like behavior in mice by promoting BDNF and suppressing the neuroinflammatory response. Biochem. Biophys. Res. Commun. 2020, 530, 658–664, doi:10.1016/j.bbrc.2020.07.098.
  163. Zhang, Y.Q.; Wang, X.B.; Xue, R.R.; Gao, X.X.; Li, W. Ginsenoside Rg1 attenuates chronic unpredictable mild stress-induced depressive-like effect via regulating NF-κB/NLRP3 pathway in rats. Neuroreport 2019, 30, 893–900, doi:10.1097/WNR.0000000000001302.
  164. Hu, Y.; Liu, M.; Liu, P.; Guo, D.H.; Wei, R.B.; Rahman, K. Possible mechanism of the antidepressant effect of 3,6′-disinapoyl sucrose from Polygala tenuifolia Willd. J. Pharm. Pharmacol. 2011, 63, 869–874, doi:10.1111/j.2042-7158.2011.01281.x.
  165. Hu, Y.; Liu, P.; Guo, D.H.; Rahman, K.; Wang, D.X.; Xie, T.T. Antidepressant effects of the extract YZ-50 from Polygala tenuifolia in chronic mild stress treated rats and its possible mechanisms. Pharm. Biol. 2010, 48, 794–800, doi:10.3109/13880200903280034.
  166. Liu, P.; Hu, Y.; Guo, D.H.; Wang, D.X.; Tu, H.H.; Ma, L.; Xie, T.T.; Kong, L.Y. Potential antidepressant properties of Radix Polygalae (Yuan Zhi). Phytomedicine 2010, 17, 794–799, doi:10.1016/j.phymed.2010.01.004.
  167. Lee, S.R.; Lee, S.; Moon, E.; Park, H.J.; Park, H.B.; Kim, K.H. Bioactivity-Guided isolation of anti-inflammatory triterpenoids from the sclerotia of Poria cocos using LPS-stimulated Raw264.7 cells. Bioorg. Chem. 2017, 70, 94–99, doi:10.1016/j.bioorg.2016.11.012.
  168. Chang, W.; Teng, J. β-asarone prevents Aβ25-35-induced inflammatory responses and autophagy in SH-SY5Y cells: Down expression Beclin-1, LC3B and up expression Bcl-2. Int. J. Clin. Exp. Med. 2015, 8, 20658–20663.
  169. Chen, C.; Hu, Y.; Dong, X.Z.; Zhou, X.J.; Mu, L.H.; Liu, P. Proteomic Analysis of the Antidepressant Effects of Shen-Zhi-Ling in Depressed Patients: Identification of Proteins Associated with Platelet Activation and Lipid Metabolism. Cell. Mol. Neurobiol. 2018, 38, 1123–1135, doi:10.1007/s10571-018-0582-9.
  170. Dong, X.Z.; Wang, D.X.; Zhang, T.Y.; Liu, X.; Liu, P.; Hu, Y. Identification of protein targets for the antidepressant effects of Kai-Xin-San in Chinese medicine using isobaric tags for relative and absolute quantitation. Neural Regen. Res. 2020, 15, 302–310, doi:10.4103/1673-5374.265555.
  171. Zhao, S.; Iyengar, R. Systems pharmacology: Network analysis to identify multiscale mechanisms of drug action. Annu. Rev. Pharmacol. Toxicol. 2012, 52, 505–521, doi:10.1146/annurev-pharmtox-010611-134520.
  172. Woo, H.I.; Lim, S.W.; Myung, W.; Kim, D.K.; Lee, S.Y. Differentially expressed genes related to major depressive disorder and antidepressant response: Genome-Wide gene expression analysis. Exp. Mol. Med. 2018, 50, 92, doi:10.1038/s12276-018-0123-0.
  173. Panossian, A.; Hamm, R.; Wikman, G.; Efferth, T. Mechanism of action of Rhodiola, salidroside, tyrosol and triandrin in isolated neuroglial cells: An interactive pathway analysis of the downstream effects using RNA microarray data. Phytomedicine 2014, 21, 1325–1348, doi:10.1016/j.phymed.2014.07.008.
  174. Panossian, A.; Seo, E.J.; Wikman, G.; Efferth, T. Synergy assessment of fixed combinations of Herba Andrographidis and Radix Eleutherococci extracts by transcriptome-wide microarray profiling. Phytomedicine 2015, 22, 981–992, doi:10.1016/j.phymed.2015.08.004.
  175. Panossian, A.; Seo, E.-J.; Efferth, T. Synergy assessments of plant extracts used in the treatment of stress and aging-related disorders. Synergy 2018, 7, 39–48, doi:10.1016/j.synres.2018.10.001.
  176. Panossian, A.; Hamm, R.; Kadioglu, O.; Wikman, G.; Efferth, T. Synergy and Antagonism of Active Constituents of ADAPT-232 on Transcriptional Level of Metabolic Regulation of Isolated Neuroglial Cells. Front. Neurosci. 2013, 7, 16, doi:10.3389/fnins.2013.00016.
  177. Wang, B.; Lu, S.; Zhang, C.; Zhu, L.; Li, Y.; Bai, M.; Xu, E. Quantitative proteomic analysis of the liver reveals antidepressant potential protein targets of Sinisan in a mouse CUMS model of depression. Biomed. Pharmacother. 2020, 130, 110565, doi:10.1016/j.biopha.2020.110565.
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