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Amantea, D. CD163. Encyclopedia. Available online: (accessed on 15 April 2024).
Amantea D. CD163. Encyclopedia. Available at: Accessed April 15, 2024.
Amantea, Diana. "CD163" Encyclopedia, (accessed April 15, 2024).
Amantea, D. (2021, July 15). CD163. In Encyclopedia.
Amantea, Diana. "CD163." Encyclopedia. Web. 15 July, 2021.

In ischemic stroke patients, a higher monocyte count is associated with disease severity and worse prognosis. The complex correlation between subset phenotypes and functions underscores the importance of clarifying the role of monocyte subpopulations. We examined the subtype-specific distribution of the CD163+ and CD80+ circulating monocytes and evaluated their association with the inflammatory status in 26 ischemic stroke patients and 16 healthy controls.

acute ischemic stroke CD163+ CD80+ cytokines peripheral blood monocytes

1. Introduction

The pathobiology of an ischemic stroke is influenced by the activation of immune responses occurring both locally in the brain and in the peripheral circulation. Accordingly, evidence from animal models and patients highlights that ischemic insult results in rapid activation of local microglia, followed by stimulation and cerebral recruitment of circulating monocytes that differentiate into macrophages or dendritic cells, influencing the progression of ischemic damage [1][2][3][4]. Thus, monocytes modulate the immune response by polarizing toward diverse phenotypes that display tangled, often paradoxical, and still poorly characterized functions. Human monocytes can be classified according to their relative expression of the surface molecules CD14 (lipopolysaccharide receptor complex component) and CD16 (FCγRIII immunoglobulin receptor): 80–90% of circulating monocytes, referred to as “classical” monocytes, express high levels of CD14 but no CD16; meanwhile, the population expressing CD16 includes “intermediate” monocytes (expressing high levels of CD14) and “nonclassical” monocytes characterized by low CD14 expression [5][6][7]. Although recent work has delineated diverse phenotypes, their specific inflammatory role has not been clarified, whereby redundant functions or contradictory findings have been reported in different inflammatory conditions [8][9][10]. Several studies suggest that the disease stage and some risk factors can differentially affect specific monocyte subsets; therefore, these cells may be a biomarker predictive of outcomes. In the context of ischemic stroke, a higher monocyte count is associated with disease severity and adverse prognosis [11][12][13]. The few studies performed to date have revealed that the more abundant (CD14+) classical monocyte subset triggers detrimental effects; on the contrary, the less-represented (CD16+) populations may exert beneficial functions [14][15]. This is consistent with the concept that classical monocytes promote damage by producing inflammatory cytokines (i.e., TNF-alpha, IL-1beta, and IL-6) [16], with evidence that their elevation in the blood of acute stroke patients is independently associated with poor outcomes [17][18]. Conversely, CD16+ intermediate and nonclassical monocytes have been reported to be inversely related to poor functional and histological outcomes and to mortality, respectively [18]. In a recent clinical study, we reported a significant elevation of the percentage of CD14++/CD16+ intermediate and CD14+/CD16+ non-classical monocyte subsets, as well as their relative expression of the cannabinoid receptor-2 (CB2), 24 and 48 h after stroke. By contrast, the percentage of CD14++/CD16– events (corresponding to classical monocyte subtype) was not affected [19]. Interestingly, we also found that the increase in CB2 protein expression in CD16+ monocytes positively correlated with stroke severity, likely representing a compensatory response to limit damage if considering their anti-inflammatory and pro-angiogenic functions [20][21].
Elevated CD14++/CD16− monocytes predict cardiovascular events, whereas the percentage of monocytes expressing CD16 is negatively associated with carotid artery intima-media thickness at baseline [22]. However, there is an overlap between these specific subsets when they are defined just by CD14+/CD16+ expression; thus, a clear discrimination and, accordingly, characterization of these subsets is challenging. Moreover, different monocyte subsets seem to have distinct biological functions depending on the clinical or inflammatory context. For instance, CD14++/CD16− monocytes might cause inflammation that damages the fibrous cap of atherosclerotic plaques and might thus be associated with an increased risk of clinical events; CD16-expressing monocytes might play a role in determining the plaque size, possibly even having a protective or reparative rather than plaque-promoting function [22]. Recent studies have shown a substantial heterogeneity of immune infiltrates, raising a key question regarding the functional role of each cellular phenotype recruited to the ischemic brain.
Several biomarkers are associated with the M1/M2 profiles of human monocytes [23][24]. CD80 (B7-1), a costimulatory signal for T cell activation and survival, is mainly expressed on M1 macrophages. By contrast, CD163, the high-affinity scavenger receptor for the hemoglobin–haptoglobin complex, is selectively expressed on M2 monocytes/macrophages, where it participates in clearance of hemoglobin/haptoglobin complexes and tissue protection from oxidative damage [25]. Many anti-inflammatory signals upregulate CD163, while pro-inflammatory signals downregulate its expression [24][26]. Starting from 5–6 days after a stroke in humans, CD163+ cells accumulate in the ischemic brain parenchyma, where they may also paradoxically acquire a pro-inflammatory phenotype [27], as also noted in other pathological contexts [28][29][30]. This highlights the complexity of the correlation between subset phenotypes and functions, underscoring the importance of clarifying the role of specific monocyte subpopulations, beyond the surface expression of CD14 and CD16. In fact, immunomodulatory approaches aimed at targeting specific cell populations represent potential effective treatments for stroke and would significantly benefit from a better understanding of the molecular events underlying stroke-induced inflammation [31]. The occurrence of distinct monocyte subsets has not been fully investigated in ischemic stroke patients, even though monocytes (as well as macrophages) have been recognized as important players of the inflammatory response.

2. CD163 and CD80 Expression in Peripheral Blood Monocytes

An increased percentage of CD163+/CD16+ and CD163+/CD14++ events was found 24 and 48 h after an ischemic stroke when compared to control subjects (CT) (Figure 1a,b). The percentage of CD16+ cells expressing CD163 (median = 16.01%, IQR = 14.05–18.12) was higher (p < 0.01) than the percentage of CD14++ cells expressing this surface molecule (median = 12.46%, IQR = 11.88–14.63) 24 h after stroke, but not at a later time-point (i.e., 48 h after the insult). Thus, elevation of CD163 expression is more pronounced in CD16+ non-classical and intermediate monocytes at least in the acute phase. Conversely, the percentage of CD80+/CD16+ events was unaffected after stroke (Figure 2a), whereas the percentage of CD80+/CD14++ events was significantly increased 24 h after the insult as compared to CT (Figure 2b).
Figure 1. Representative flow cytometry density plots and scatter plots showing the percentage of CD163+/CD16+ (red) (a) and CD163+/CD14++ (yellow) (b) events in healthy subjects (CT; n = 16) and in patients 24 and 48 h after an ischemic stroke (n = 26). Data are shown as the median and interquartile range. A Kruskal–Wallis test, followed by Dunn’s post-hoc test: * p < 0.05, ** p < 0.01, and *** p < 0.001 vs. CT.
Figure 2. Representative flow cytometry density plots and scatter plots showing the percentage of CD80+/CD16+ (red) (a) and CD80+/CD14++ (yellow) (b) events in healthy subjects (CT; n = 16) and in patients 24 and 48 h after an ischemic stroke (n = 26). Data are shown as the median and interquartile range. A Kruskal–Wallis test, followed by Dunn’s post-hoc test: * p < 0.05 vs. CT; Wilcoxon’s signed-rank test: °° p < 0.01 vs. 48 h.

3. Cytokines Gene Expression

Increased IL-1beta, TNF-alpha, and IL-4 mRNA levels were observed in the total monocytes from ischemic stroke patients at either 24 or 48 h after the insult, compared to CT, with no significant difference between the two time points (Figure 3). By contrast, a significant decrease in IL-10 gene expression was found 24 and 48 h after an ischemic stroke compared to CT subjects.
Figure 3. Cytokines’ mRNA levels, expressed as relative quantification (RQ) in the monocytes of healthy subjects (CT; n = 16) and patients 24 and 48 h after an ischemic stroke (n = 24–26). Data are shown as the median and the minimum and maximum values. A Kruskal–Wallis test, followed by Dunn’s post-hoc test: ** p < 0.01 and *** p < 0.001 vs. CT; Wilcoxon’s signed-rank test: § p < 0.05, §§ p < 0.01, and §§§ p < 0.001 vs. 48 h.

4. Correlation between the Percentage CD163+/CD16+ Events and Stroke Severity

The percentage of CD163+/CD16+ events 24 h after an ischemic stroke was positively associated with the National Institute of Health Stroke Scale (NIHSS) score (Figure 4a; r  =  0.39, p  =  0.05) and the modified Rankin Scale (mRS) at admission (Figure 4b; r  =  0.39, p  =  0.047), suggesting that stroke severity and disability are relevant triggers for the expression of CD163+ on circulating CD16+ monocytes. No significant correlation was reported between CD80+ subsets and stroke severity/disability (data not shown).
Figure 4. Correlation of the percentage of CD163+ events in CD16+ monocytes with NIHSS (a) and mRS (b) score at admission: r  =  0.39, p  =  0.05 and r  =  0.39, p  =  0.047 (Spearman’s rank correlation coefficient), respectively.


  1. Petry, G.; Boiziau, C.; Dousset, V.; Brochet, B. Magnetic resonance imaging of human brain macrophage infiltration. Neurotherapeutics 2007, 4, 434–442.
  2. Chiba, T.; Umegaki, K. Pivotal roles of monocytes/macrophages in stroke. Mediat. Inflamm. 2013, 2013, 759103.
  3. Zrzavy, T.; Machado-Santos, J.; Christine, S.; Baumgartner, C.; Weiner, H.L.; Butovsky, O.; Lassmann, H. Dominant role of microglial and macrophage innate immune responses in human ischemic infarcts. Brain Pathol. 2018, 28, 791–805.
  4. Miró-Mur, F.; Pérez-de-Puig, I.; Ferrer-Ferrer, M.; Urra, X.; Justicia, C.; Chamorro, A.; Planas, A.M. Immature monocytes recruited to the ischemic mouse brain differentiate into macrophages with features of alternative activation. Brain Behav. Immun. 2016, 53, 18–33.
  5. Ziegler-Heitbrock, L.; Ancuta, P.; Crowe, S.; Dalod, M.; Grau, V.; Hart, D.N.; Leenen, P.J.; Liu, Y.J.; MacPherson, G.; Randolph, G.J.; et al. Nomenclature of monocytes and dendritic cells in blood. Blood 2010, 116, e74–e80.
  6. Wong, K.L.; Tai, J.J.; Wong, W.C.; Han, H.; Sem, X.; Yeap, W.H.; Kourilsky, P.; Wong, S.C. Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsets. Blood 2011, 118, e16–e31.
  7. Gren, S.T.; Rasmussen, T.B.; Janciauskiene, S.; Håkansson, K.; Gerwien, J.G.; Grip, O. A Single-Cell Gene-Expression Profile Reveals Inter-Cellular Heterogeneity within Human Monocyte Subsets. PLoS ONE 2015, 10, e0144351.
  8. Kapellos, T.S.; Bonaguro, L.; Gemünd, I.; Reusch, N.; Saglam, A.; Hinkley, E.R.; Schultze, J.L. Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases. Front. Immunol. 2019, 10, 2035.
  9. Merah-Mourah, F.S.; Cohen, S.O.; Charron, D.; Mooney, N.; Haziot, A. Identification of Novel Human Monocyte Subsets and Evidence for Phenotypic Groups Defined by Interindividual Variations of Expression of Adhesion Molecules. Sci. Rep. 2020, 10, 4397.
  10. Zhao, M.; Tuo, H.; Wang, S.; Zhao, L. The Roles of Monocyte and Monocyte-Derived Macrophages in Common Brain Disorders. BioMed Res. Int. 2020, 2020, 9396021.
  11. Ren, H.; Han, L.; Liu, H.; Wang, L.; Liu, X.; Gao, Y. Decreased Lymphocyte-to-Monocyte Ratio Predicts Poor Prognosis of Acute Ischemic Stroke Treated with Thrombolysis. Med. Sci. Monit. 2017, 23, 5826–5833.
  12. Liberale, L.; Montecucco, F.; Bonaventura, A.; Casetta, I.; Seraceni, S.; Trentini, A.; Padroni, M.; Dallegri, F.; Fainardi, E.; Carbone, F. Monocyte count at onset predicts poststroke outcomes during a 90-day follow-up. Eur. J. Clin. Investig. 2017, 47, 702–710.
  13. Nadareishvili, Z.; Luby, M.; Leigh, R.; Shah, J.; Lynch, J.K.; Hsia, A.W.; Benson, R.T.; Latour, L.L. An MRI Hyperintense Acute Reperfusion Marker Is Related to Elevated Peripheral Monocyte Count in Acute Ischemic Stroke. J. Neuroimaging 2018, 28, 57–60.
  14. Narasimhan, P.B.; Marcovecchio, P.; Hamers, A.A.J.; Hedrick, C.C. Nonclassical Monocytes in Health and Disease. Annu. Rev. Immunol. 2019, 37, 439–456.
  15. Wang, Y.; Cheng, Y.; Song, Q.; Wei, C.; Liu, J.; Wu, B.; Liu, M. The association between monocyte to high-density lipoprotein ratio and hemorrhagic transformation in patients with acute ischemic stroke. Aging 2020, 12, 2498–2506.
  16. Boyette, L.B.; Macedo, C.; Hadi, K.; Elinoff, B.D.; Walters, J.T.; Ramaswami, B.; Chalasani, G.; Taboas, J.M.; Lakkis, F.G.; Metes, D.M. Phenotype, function, and differentiation potential of human monocyte subsets. PLoS ONE 2017, 12, e0176460.
  17. Kaito, M.; Araya, S.; Gondo, Y.; Fujita, M.; Minato, N.; Nakanishi, M.; Matsui, M. Relevance of distinct monocyte subsets to clinical course of ischemic stroke patients. PLoS ONE 2013, 8, e69409.
  18. Urra, X.; Cervera, A.; Obach, V.; Climent, N.; Planas, A.M.; Chamorro, A. Monocytes are major players in the prognosis and risk of infection after acute stroke. Stroke 2009, 40, 1262–1268.
  19. Greco, R.; Demartini, C.; Zanaboni, A.; Tumelero, E.; Elisa, C.; Persico, A.; Morotti, A.; Amantea, D.; Tassorelli, C. Characterization of CB2 Receptor Expression in Peripheral Blood Monocytes of Acute Ischemic Stroke Patients. Transl. Stroke Res 2020, 12, 550–558.
  20. Murdoch, C.; Tazzyman, S.; Webster, S.; Lewis, C.E. Expression of Tie-2 by human monocytes and their responses to angiopoietin-2. J. Immunol. 2007, 178, 7405–7411.
  21. Skrzeczyńska-Moncznik, J.; Bzowska, M.; Loseke, S.; Grage-Griebenow, E.; Zembala, M.; Pryjma, J. Peripheral blood CD14high CD16+ monocytes are main producers of IL-10. Scand J. Immunol. 2008, 67, 152–159.
  22. Berg, K.E.; Ljungcrantz, I.; Andersson, L.; Bryngelsson, C.; Hedblad, B.; Fredrikson, G.N.; Nilsson, J.; Björkbacka, H. Elevated CD14++CD16- monocytes predict cardiovascular events. Circ. Cardiovasc. Genet. 2012, 5, 122–131.
  23. Orecchioni, M.; Ghosheh, Y.; Pramod, A.B.; Ley, K. Macrophage Polarization: Different Gene Signatures in M1(LPS+) vs. Classically and M2(LPS−) vs. Alternatively Activated Macrophages. Front. Immunol. 2019, 10, 1084.
  24. Zhang, C.; Yang, M.; Ericsson, A.C. Function of Macrophages in Disease: Current Understanding on Molecular Mechanisms. Front. Immunol. 2021, 12, 620510.
  25. Onofre, G.; Koláčková, M.; Jankovičová, K.; Krejsek, J. Scaverger receptor CD163 and its biological fucntions: Molecular characterization. Acta Med. 2009, 52, 57–61.
  26. Van Gorp, H.; Delputte, P.L.; Nauwynck, H.J. Scavenger receptor CD163, a Jack-ofall-trades and potential target for cell-directed therapy. Mol. Immunol. 2010, 47, 1650–1660.
  27. Rajan, W.D.; Wojtas, B.; Gielniewski, B.; Miró-Mur, F.; Pedragosa, J.; Zawadzka, M.; Pilanc, P.; Planas, A.M.; Kaminska, B. Defining molecular identity and fates of CNS-border associated macrophages after ischemic stroke in rodents and humans. Neurobiol. Dis. 2020, 137, 104722.
  28. Mukherjee, R.; Kanti Barman, P.; Kumar Thatoi, P.; Tripathy, R.; Kumar Das, B.; Ravindran, B. Non-Classical monocytes display inflammatory features: Validation in Sepsis and Systemic Lupus Erythematous. Sci. Rep. 2015, 5, 13886.
  29. Guo, L.; Akahori, H.; Harari, E.; Smith, S.L.; Polavarapu, R.; Karmali, V.; Otsuka, F.; Gannon, R.L.; Braumann, R.E.; Dickinson, M.H.; et al. CD163+ macrophages promote angiogenesis and vascular permeability accompanied by inflammation in atherosclerosis. J. Clin. Investig. 2018, 128, 1106–1124.
  30. Mohme, M.; Sauvigny, T.; Mader, M.M.; Schweingruber, N.; Maire, C.L.; Rünger, A.; Ricklefs, F.; Regelsberger, J.; Schmidt, N.O.; Westphal, M.; et al. Immune Characterization in Aneurysmal Subarachnoid Hemorrhage Reveals Distinct Monocytic Activation and Chemokine Patterns. Transl. Stroke Res. 2020, 11, 1348–1361.
  31. Park, J.; Chang, J.Y.; Kim, J.Y.; Lee, J.E. Monocyte Transmodulation: The Next Novel Therapeutic Approach in Overcoming Ischemic Stroke? Front. Neurol. 2020, 11, 578003.
Subjects: Neurosciences
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