Pathophysiology of Fibromyalgia: Comparison
Please note this is a comparison between Version 2 by Jessie Wu and Version 4 by Jessie Wu.
Fibromyalgia syndrome (FMS) is one of the most prevalent disorders that affects the muscles and is characterized by pain, stiffness, and soreness in the muscles, tendons, and joints. Fibromyalgia is in a family of disorders termed the affective spectrum disorders (ASD). ASDs frequently co-occur in both individuals and families and share physiologic abnormalities along with genetic risk factors that may be central to their etiology. The most prevalent ASDs are attention-deficit/hyperactivity disorder, major depressive disorder [MDD], generalized anxiety disorder, obsessive compulsive disorder, bulimia nervosa, panic disorder, posttraumatic stress disorder, premenstrual dysphoric disorder, social phobia, and medical disorders such as irritable bowel syndrome [IBS], migraine, and cataplexy. FMS commonly manifests in young or middle-aged females as chronic widespread pain, stiffness, fatigue, disrupted unrefreshing sleep, and cognitive difficulties. FMS often coexists with a number of other unexplained symptoms, anxiety and/or depression, and functional impairment of daily living activities. Fibromyalgia typically causes broad pain that affects both sides of the body with numerous “tender points”. Despite having incapacitating physical pain, FMS is not accompanied by tissue inflammation, tissue damage, or deformity.
  • fibromyalgia
  • pain
  • biopsies

1. Abnormal Pain Signaling in Fibromyalgia

The exact pathophysiological mechanism behind fibromyalgia remains undefined, though it is likely multifactorial in origin including abnormal cortical processing, reductions in inhibitory pain modulatory mechanisms and molecular changes to the pain pathway. What is clear however is that patients with fibromyalgia have increased sensitivity to a variety of stimuli, including mechanical and ischemic pressure, heat, and cold. Normally the source of sensory input (such as a nerve lesion) is discernible in both animal and human models of neuropathic pain, and pain sensitivity is decreased when the source is removed. It is unknown where fibromyalgia patients receive their unique sensory information [1][2]. Because of this, when discussing the pathophysiology of fibromyalgia, the majority of researchers working on the condition use the term central augmentation of sensory input rather than central sensitization.
Studies have shown that compared to healthy controls, the stimulus intensity required to elicit a pain response in fibromyalgia patients is almost 50% lower [3][4]. This is in addition to various other symptoms including fatigue, insomnia, cognitive impairments, and depression [5]. The pathophysiology of this heightened sensitivity (hyperalgesia and allodynia) has been studied and is thought to involve both impaired central cortical processing as well as dysregulation of the central nervous system (CNS) at the spinal cord level [6].
A systematic review in 2014 conducted by Cagnie et al. found 22 studies utilizing neuroimaging techniques to evaluate brain activity in patients with  fibromyalgia syndrome (FMS). Within their review 8 articles utilized Voxel-based morphometry (VBM) to evaluate brain volume. They collectively found in those with FMS and moderate central sensitization VBM demonstrated physical reductions in gray matter mostly seen in the anterior cingulate cortex and prefrontal cortex, though global gray matter remained unchanged [6]. There did appear to be a temporal correlation between increases in grey matter volume loss and those with long standing FMS [7]. Thirteen studies looked at fMRI images associated with various pain thresholds, and they found increases in cortical blood flow to areas of the brain associated with pain processing with lower stimulation in those with FMS. In addition, they found evidence for a reduction in connectivity in the descending pain-modulation system in FMS patients notably from the anterior cingulate cortex (ACC) to the amygdala, hippocampus, and brain stem [8].
The ACC, periaqueductal grey and rostral ventromedial medulla appear to be large components of the descending pain processing pathway [9]. The descending pain pathway involves the release of endogenous opioids at the spinal level and serotonergic and noradrenergic modulation centrally as it relates to pain perception, both in response to ascending pain signals. In chronic pain states this connection becomes disrupted resulting in decreased opioid release and alteration in serotonin and noradrenergic secretion [10].
When incoming A-delta and C-fibers synapse in the dorsal horn they normally release glutamate and substance P which initiates the ascending pain signal through the spinothalamic tract. Opioids normally bind to receptors most commonly mu-opioid receptor (MOR) located in neurons that synapse at this junction. At the spinal cord Opioids act on interneurons that synapse in the dorsal horn both pre and post-synaptically. When activated opioid receptors hyperpolarize ascending fibers and inhibit the release of glutamate and substance P presynaptically. This ultimately reduces the amount of pain signals reaching the brain. In addition, when the pathway is initiated Gaba is reduced in the periaquedutal gray which results in an increase in serotonergic and noradrenergic transmission in the ventromedial medulla thus reducing pain perception [11]. It is hypothesized that repetitive stimulation of C-fibers (such as that seen in chronic pain states like FM) results in apoptosis of the inhibitory opioid and gabanergic interneurons [12]. This reduction in interneurons is associated with increased release of glutamate, substance P, and nerve growth factor at the d second-order neurons and central reductions in opioid and serotonin levels resulting in a “wind-up” mechanism. Wind up is described as a gradual increase in ascending pain signaling along with a reduction in inhibitory descending pain modulation [3][4]. Overtime this mechanism contributes to centralized pain, allodynia, and hyperalgesia as now stimuli that normally would not reach pain thresholds do.
Other proposed mechanisms behind the development of hyperalgesia and allodynia involve microglial cells and the TLR4 receptor. Microglial cells are CNS macrophages or the main defense system of the brain and spinal cord. Normally in a quiescent state, they can become activated by triggers including cell death, peripheral inflammation, and infection. Once activated they undergo morphological changes and release numerous cytokines and other proinflammatory mediators [13]. TLR4 is a receptor found on the outer membranes of microglial cells and they play an integral role in the activation of the cell. TLR4 typically binds to pathogen-associated molecular patterns (PAMPS) and LPS both of which are associated with infection, damaged tissues, or cell death. Upregulation of TLR-4 with repeat chronic stimulation results in proliferation and overactivation of microglial cells. This unregulated activation produces changes not only at the macrolevel affecting pain pathways in the spine and brain but also at the molecular level upregulating gene expression and receptor concentrations [14][15].
Other secondary mechanisms that could result in the symptoms experienced by those with FMS include reductions in neurotransmitters, alterations in hormone levels, genetics, and environmental triggers. Serotonin is especially important for regulating mood, depression, and anxiety. Those with FMS have been shown to have reductions in these neurotransmitters when compared to healthy controls. The alterations seen in the pain modulation pathway could account for these reductions in blood serum serotonin levels by reducing Gaba’s effects at the periaqueductal grey [7].
Physiological stress can lead to symptoms such as fatigue, decreased work capacity and insomnia. Numerous studies have looked at anomalies of the hypothalamic-pituitary-adrenal (HPA) axis in relation to FMS. Collectively they have demonstrated a hyperactivity of the stress response, albeit the precise nature of these changes has not been clarified. For example, there was a significant relationship between cortisol levels and pain at awakening and an hour after awakening in FMS patients as compared to controls [16][17]. A second study found that patients with fibromyalgia had significantly higher overall plasma cortisol (P 0.001) as well as higher peak and trough levels of cortisol than patients with RA [17]. A study in 2003 evaluated the function of beta-adrenergic receptors on mononuclear cells in 8 FMS females paired with 9 healthy females. They found diminished basal cAMP levels in patients with FMS [18]. In another approach, 16 patients with FMS performed static knee extensions until they became exhausted, plasma catecholamines and ACTH were decreased in comparison to 16 healthy controls in both groups of patients [19]. It is not entirely clear why these aberrant hormone levels exist though studies are ongoing.
Patients with fibromyalgia frequently demonstrate abnormalities in the autonomic nervous system’s (ANS). In addition to reduced microcirculatory responses to aural stimulation, patients with fibromyalgia also displayed attenuated vasoconstriction responses to cold pressor activities [20]. Through the alteration of physiological reactions necessary for efficient stress management, ANS abnormalities may contribute to increased pain and other clinical issues related to fibromyalgia (e.g., increases in blood pressure) and pain inhibition via diminished production of growth hormone (GH) and insulin-like growth factor (IGF-1) [19][20].
Innapropriate immune responses and specficially IgG immuoglobulin has demonstrated the ability to cause pain without obvious inflammation or nerve damage [21]. This immune response has been a topic of research for potential causes of conditions characterized by altered nociceptioin that is not fully explained by neuropathic pain mechanisms. One study design, specifically looking at this abnormal immune response, utilized IgG antibodies from patients with potential nociplastic pain syndromes and transfered them to a mouse model. The resulting mice also displayed reduced locomotor activity, decreased strenght, and loss of intraepidermal innervation. This was in contrast to an IgG depleted serum which had no effects on the mice [22]. A separate study examed the link between FMS and satellite glia cells (SGC) binding IgG via immunofluorescence murine cell culture assay. The results demosntrated a correlation between binding of IgG to SGCs and fibromylagia disease severity. These finds show potential for a anti-SGC antibody screening test for FMS to assist personalized treatment options that target autoantibodies [23].

2. Imaging in Fibromyalgia

Several functional neuroimaging techniques and studies demonstrate quantifiable changes in patients with FMS. One of the first functional neuroimaging techniques to be used to study FMS was the Single-photon-emission computed tomography (SPEC). This method provides a measurement of regional cerebral blood flow (rCBF), which reflects neural activity, throughout the brain following the injection of a radioactive tracer. There seems to be interest in the thalamus. Adigüzel et al. also suggested that the thalamus and basal ganglia are involved. After receiving amitriptyline treatment, he showed increases in rCBF in these areas [24]. Kwiatek et al. observed reduced rCBF in the right thalamus, inferior dorsal pons, and vicinity of the right lentiform nucleus utilizing single photon emission computed tomography [25]. Shokouhi et al. utilized arterial spin labeling to image CBF in 23 FMS patients. They found significant reductions in basal ganglia perfusion [26].
Similar to SPECT, positron emission tomography (PET) uses radioactive tracers, but it has higher temporal and spatial resolution. An example of PET utilization in FMS was performed by Wik et al. when he compared rCBF in 8 patients and controls at rest. Patients had greater rCBF in the retrosplenial cortex on both sides compared to controls, but less rCBF in the left frontal, temporal, parietal, and occipital cortices. This may indicate heightened sensitivity to subnoxious somatosensory signaling and an impairment of the typical cognitive processing of pain in fibromyalgia patients [27]. Positron emission tomography with fluorodeoxyglucose (FDG) can be used to detect changes in glucose metabolism. Yunus et al. compared 12 FMS patients and 7 controls and did not detect a change [28]. Contrast this with Walitt et al. who demonstrated a link between the improvement in a thorough treatment program and the rise in metabolic activity in limbic structures [29].

3. Small Fiber Neuropathies in Fibromyalgia

Small fiber neuropathy (SFN) is a disease affecting the A-delta or C-fibers of the peripheral nervous system with a proximal, distal, or diffuse distriubtion. SFN typically manifests with pain, sensory disturbances, or autonomic dysfunction. Most SFNs are diagnosed with typical clinical features and a reduced intra-epidermal enrve fiber density via skin biopsy. SFN is brought on by a defect in glucose metabolism, immune dysregulation, gluten sensitivity and celiac disease, monoclonal gammopathy, vitamin deficiency, exposure to toxins, cancer, and unexplained causes [30][31].
Fibromylagia syndrom lacks clear defined abnormalities which hinders definitive testing, disease-modifying therapies, and the discovery of causes. One study performed by Oaklander et al. compared 27 FMS patients and 30 controls and found 41% of skin biopsies from subjects with fibromyalgia vs. 3% of biopsies from control subjects were diagnostic for SFPN sugesting that some patients with chronic pain labeled as fibromyalgia have unrecognized or concurrent SFPN [32]. A similar study investigating epidermal nerve fiber density compared calf and thigh 3 mm punch skin biopsies in 41 FMS patients and 47 control subjects respectivly. Their results demonstrated a significantly diminished epidermal nerve fiber density in both anatomical regions in the FMS group which also suggests a roll of small fiber neuropathy in the pathogensis of FMS [33].
Uceyler et al. examined the function and morphology of small nerve fibers in 25 fibromyalgia syndrome patients in this case–control study. Comprehensive neurological and neurophysiological evaluations were performed on the patients. Skin punch biopsies of the lower leg and upper thigh were used to measure intraepidermal nerve fiber density and regenerating intraepidermal nerve fibers, as well as to examine small fiber function using quantitative sensory testing and pain-related evoked potentials. These results were compared with a monopolar depression group and a separte healthy control group matched for age and gender. This study was the first to quantitatively show a reduction in intraepidermal innervation and regneration sparing myelinated nerve fibers along with an elevated cold and warm detection threshold indiciating functional impairment of A-delta and C-fibers [34]. A meta-analysis of the prevalence of small fiber pathology in fibromyaglia was perrofmed in 2019 by Grayston et al. They screened 935 studies and found 8 studies that met their inclusion criteria which provided 222 participants. The results demonstatred a pooled prevalence of SFP in fibromyalgia to be 49% (95% CI: 38–60%) [35]. Evaluation of SPN in FMS enables improved FMS classification, patient care direction, and symptom validation, resulting in better use of resources and outcomes.
An extensive review by Meydan et al. covered the connection between non-coding RNA regulators and diabetic polyneuropathy and their possible connection to FMS. They elaborate on several candidate non-coding RNAs which regulate inflammation, pain-provoking, and metabolic syndrome pathways. Numerous non-coding RNAs were detailed. Although the connection may seem obscure, the authors voiced the importance of understanding the biological pathways involved in polyneuropathies [36].

References

  1. Vincent, A.; Lahr, B.D.; Wolfe, F.; Clauw, D.J.; Whipple, M.O.; Oh, T.H.; Barton, D.L.; Sauver, J.S. Prevalence of Fibromyalgia: A Population-Based Study in Olmsted County, Minnesota, Utilizing the Rochester Epidemiology Project. Arthritis Care Res. (Hoboken) 2013, 65, 786–792.
  2. Fitzcharles, M.-A.; Ste-Marie, P.A.; Goldenberg, D.L.; Pereira, J.X.; Abbey, S.; Choinière, M.; Ko, G.; Moulin, D.E.; Panopalis, P.; Proulx, J.; et al. Canadian Pain Society and Canadian Rheumatology Association Recommendations for Rational Care of Persons with Fibromyalgia. A Summary Report. J. Rheumatol. 2013, 40, 1388–1393.
  3. Chinn, S.; Caldwell, W.; Gritsenko, K. Fibromyalgia Pathogenesis and Treatment Options Update. Curr. Pain Headache Rep. 2016, 20, 25.
  4. Sarzi-Puttini, P.; Giorgi, V.; Marotto, D.; Atzeni, F. Fibromyalgia: An update on clinical characteristics, aetiopathogenesis and treatment. Nat. Rev. Rheumatol. 2020, 16, 645–660.
  5. Malcangio, M. Role of the immune system in neuropathic pain. Scand. J. Pain 2019, 20, 33–37.
  6. Cagnie, B.; Coppieters, I.; Denecker, S.; Six, J.; Danneels, L.; Meeus, M. Central sensitization in fibromyalgia? A systematic review on structural and functional brain MRI. Semin. Arthritis Rheum. 2014, 44, 68–75.
  7. Jensen, K.B.; Srinivasan, P.; Spaeth, R.; Tan, Y.; Kosek, E.; Petzke, F.; Carville, S.; Fransson, P.; Marcus, H.; Williams, S.; et al. Overlapping Structural and Functional Brain Changes in Patients With Long-Term Exposure to Fibromyalgia Pain. Arthritis Rheum. 2013, 65, 3293–3303.
  8. Jensen, K.B.; Loitoile, R.; Kosek, E.; Petzke, F.; Carville, S.; Fransson, P.; Marcus, H.; Williams, S.C.; Choy, E.; Mainguy, Y.; et al. Patients with Fibromyalgia Display Less Functional Connectivity in the Brain’s Pain Inhibitory Network. Mol. Pain 2012, 8, 32.
  9. Kong, J.; Tu, P.-C.; Zyloney, C.; Su, T.-P. Intrinsic functional connectivity of the periaqueductal gray, a resting fMRI study. Behav. Brain Res. 2010, 211, 215–219.
  10. Ossipov, M.H.; Morimura, K.; Porreca, F. Descending pain modulation and chronification of pain. Curr. Opin. Support. Palliat. Care 2014, 8, 143–151.
  11. Shenoy, S.S.; Lui, F. Biochemistry, Endogenous Opioids. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2022. Available online: https://www.ncbi.nlm.nih.gov/books/NBK532899/ (accessed on 23 October 2022).
  12. Ribeiro, H.; Sarmento-Ribeiro, A.B.; Andrade, J.P.; Dourado, M. Apoptosis and (in) Pain—Potential Clinical Implications. Biomedicines 2022, 10, 1255.
  13. Woolf, C.J. Central sensitization: Implications for the diagnosis and treatment of pain. Pain 2011, 152 (Suppl. 3), S2–S15.
  14. Patten, D.K.; Schultz, B.G.; Berlau, D.J. The Safety and Efficacy of Low-Dose Naltrexone in the Management of Chronic Pain and Inflammation in Multiple Sclerosis, Fibromyalgia, Crohn’s Disease, and Other Chronic Pain Disorders. Pharmacother. J. Hum. Pharmacol. Drug Ther. 2018, 38, 382–389.
  15. Van Oosterwijck, J.; Nijs, J.; Meeus, M.; Paul, L. Evidence for central sensitization in chronic whiplash: A systematic literature review. Eur. J. Pain 2013, 17, 299–312.
  16. McLean, S.A.; Williams, D.A.; Harris, R.E.; Kop, W.J.; Groner, K.H.; Ambrose, K.; Lyden, A.K.; Gracely, R.H.; Crofford, L.J.; Geisser, M.E.; et al. Momentary relationship between cortisol secretion and symptoms in patients with fibromyalgia. Arthritis Care Res. 2005, 52, 3660–3669.
  17. Adler, G.K.; Kinsley, B.T.; Hurwitz, S.; Mossey, C.J.; Goldenberg, D.L. Reduced hypothalamic-pituitary and sympathoadrenal responses to hypoglycemia in women with fibromyalgia syndrome. Am. J. Med. 1999, 106, 534–543.
  18. Maekawa, K.; Twe, C.; Lotaif, A.; Chiappelli, F.; Clark, G.T. Function of beta-adrenergic receptors on mononuclear cells in female patients with fibromyalgia. J. Rheumatol. 2003, 30, 364–368.
  19. Kosek, E.; Kadetoff, D. Evidence of reduced sympatho-adrenal and hypothalamic-pituitary activity during static muscular work in patients with fibromyalgia. J. Rehabil. Med. 2010, 42, 765–772.
  20. Martínez-Martínez, L.-A.; Mora, T.; Vargas, A.; Fuentes-Iniestra, M.; Martínez-Lavín, M. Sympathetic Nervous System Dysfunction in Fibromyalgia, Chronic Fatigue Syndrome, Irritable Bowel Syndrome, and Interstitial Cystitis. JCR J. Clin. Rheumatol. 2014, 20, 146–150.
  21. Jurczak, A.; Delay, L.; Barbier, J.; Simon, N.; Krock, E.; Sandor, K.; Agalave, N.M.; Rudjito, R.; Wigerblad, G.; Rogóż, K.; et al. Antibody-induced pain-like behavior and bone erosion: Links to subclinical inflammation, osteoclast activity, and acid-sensing ion channel 3–dependent sensitization. Pain 2022, 163, 1542–1559.
  22. Goebel, A.; Krock, E.; Gentry, C.; Israel, M.R.; Jurczak, A.; Urbina, C.M.; Sandor, K.; Vastani, N.; Maurer, M.; Cuhadar, U.; et al. Passive transfer of fibromyalgia symptoms from patients to mice. J. Clin. Investig. 2021, 131, e144201.
  23. Krock, E.; Morado-Urbina, C.E.; Menezes, J.; Hunt, M.A.; Sandstrom, A.; Kadetoff, D.; Tour, J.; Verma, V.; Kultima, K.; Haglund, L.; et al. Svensson Fibromyalgia patients with high levels o anti-satellite glia cell IgG antibodies present with more severe symptoms. bioRxiv 2022, 131, e144201.
  24. Adigüzel, O.; Kaptanoglu, E.; Turgut, B.; Nacitarhan, V. The Possible Effect of Clinical Recovery on Regional Cerebral Blood Flow Deficits in Fibromyalgia: A Prospective Study with Semiquantitative SPECT. South. Med. J. 2004, 97, 651–655.
  25. Kwiatek, R.; Barnden, L.; Tedman, R.; Jarrett, R.; Chew, J.; Rowe, C.; Pile, K. Regional cerebral blood flow in fibromyalgia: Single-photon-emission computed tomography evidence of reduction in the pontine tegmentum and thalami. Arthritis Rheum. 2000, 43, 2823–2833.
  26. Shokouhi, M.; Davis, K.D.; Moulin, D.E.; Morley-Forster, P.; Nielson, W.R.; Bureau, Y.; Lawrence, K.S. Basal Ganglia Perfusion in Fibromyalgia is Related to Pain Disability and Disease Impact. Clin. J. Pain 2016, 32, 495–505.
  27. Wik, G.; Fischer, H.; Bragée, B.; Kristianson, M.; Fredrikson, M. Retrosplenial cortical activation in the fibromyalgia syndrome. NeuroReport 2003, 14, 619–621.
  28. Yunus, M.B.; Young, C.S.; Saeed, S.A.; Mountz, J.M.; Aldag, J.C. Positron emission tomography in patients with fi-bromyalgia syndrome and healthy controls. Arthritis Care Res. 2004, 51, 513–518.
  29. Walitt, B.; Roebuck-Spencer, T.; Esposito, G.; Atkins, F.; Bleiberg, J.; Foster, G.; Weinstein, A. The effects of multidisciplinary therapy on positron emission tomography of the brain in fibromyalgia: A pilot study. Rheumatol. Int. 2007, 27, 1019–1024.
  30. Finsterer, J.; Scorza, F.A. Small fiber neuropathy. Acta Neurol. Scand. 2022, 145, 493–503.
  31. Farhad, K. Current Diagnosis and Treatment of Painful Small Fiber Neuropathy. Curr. Neurol. Neurosci. Rep. 2019, 19, 103.
  32. Oaklander, A.L.; Herzog, Z.D.; Downs, H.M.; Klein, M.M. Objective evidence that small-fiber polyneuropathy underlies some illnesses currently labeled as fibromyalgia. Pain 2013, 154, 2310–2316.
  33. Caro, X.J.; Winter, E.F. Evidence of Abnormal Epidermal Nerve Fiber Density in Fibromyalgia: Clinical and Immunologic Implications. Arthritis Rheumatol. 2014, 66, 1945–1954.
  34. Üçeyler, N.; Zeller, D.; Kahn, A.-K.; Kewenig, S.; Kittel-Schneider, S.; Schmid, A.; Casanova-Molla, J.; Reiners, K.; Sommer, C. Small fibre pathology in patients with fibromyalgia syndrome. Brain 2013, 136, 1857–1867.
  35. Grayston, R.; Czanner, G.; Elhadd, K.; Goebel, A.; Frank, B.; Üçeyler, N.; Malik, R.A.; Alam, U. A systematic review and meta-analysis of the prevalence of small fiber pathology in fibromyalgia: Implications for a new paradigm in fibromyalgia etiopathogenesis. Semin. Arthritis Rheum. 2019, 48, 933–940.
  36. Meydan, C.; Üçeyler, N.; Soreq, H. Non-coding RNA regulators of diabetic polyneuropathy. Neurosci. Lett. 2020, 731, 135058.
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