Next Article in Journal
Safety and Efficacy of Three Variants of Canaloplasty with Phacoemulsification to Treat Open-Angle Glaucoma and Cataract: 12-Month Follow-Up
Previous Article in Journal
Cancer-Associated Fibroblasts in Cholangiocarcinoma: Current Knowledge and Possible Implications for Therapy
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 11
Issue 21
10.3390/jcm11216499
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Role of Adaptive Immunity in Diabetic Retinopathy

by
Mengting Xue
†,
Xiying Mao
†,
Mingkang Chen
,
Wenjie Yin
,
Songtao Yuan
* and
Qinghuai Liu
*
Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
J. Clin. Med. 2022, 11(21), 6499; https://doi.org/10.3390/jcm11216499
Submission received: 4 October 2022 / Revised: 29 October 2022 / Accepted: 31 October 2022 / Published: 2 November 2022
(This article belongs to the Section Ophthalmology)
Browse Figures
Versions Notes

Abstract

:
Diabetic retinopathy (DR) is currently one of the common causes of vision loss in working-age adults. It is clinically diagnosed and classified according to the vascular changes in the fundus. However, the activation of immune cells occurs before these vascular changes become detectable. These, together with molecular studies and the positive clinical outcomes of anti-inflammatory treatment, highlight the pivotal involvement of the immune system. The role of innate immunity in DR pathophysiology has been studied in depth, but the contribution of adaptive immunity remains largely elusive. This review aims to summarize our current understanding of the activation mechanism of adaptive immunity in DR microenvironments and to discuss the relationship between adaptive immunity and local vascular units or innate immunity, which opens new avenues for clinical applications in DR treatment.

1. Introduction

Diabetic retinopathy (DR) is the most common chronic microvascular complication of uncontrolled diabetes and can lead to preventable blindness. Clinically, DR is currently divided into two stages: non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). NPDR represents the early stages of DR, and its pathological manifestation involves the loss of pericytes, the formation of acellular capillaries and the thickening of basement membranes [1]. Its molecular mechanism is characterized by the activation of endothelial cells; leukocyte stasis, which further leads to endothelial cell dysfunction; and the decomposition of the blood–retinal barrier (BRB). PDR is the more advanced stage of DR and is characterized by the formation of new blood vessels, resulting in retinal hemorrhage and, eventually, irreversible blindness.
Therefore, the vascular system works as the link between systemic metabolic dysfunction and local lesions. In addition to endothelial cells and pericytes, immune components are important components of the vascular system. Increasingly more studies have shown that the activation of the innate immune system plays an indispensable role in the progression of DR, but the role of the adaptive immune system remains elusive. In this review, we introduce the activation mechanism of the adaptive immune system and focus on the function of adaptive immunity in microangiopathy to determine the potential of immunotherapy in the early intervention of DR.

2. Innate Immunity and DR

Innate immunity, also known as congenital immunity or non-specific immunity, is the first line of defense against the invasion of pathogenic microorganisms. Innate immunity in the eye is mainly composed of resident myeloid cells and the complement system. In normal retina, the immune state of the retina is strictly controlled and suppressed. However, a single-cell transcriptome analysis of the retina of nonhuman primates with diabetes showed that cone-secreted TGFβ2 inhibited the activation of microglia [2]. In streptozotocin (STZ)-induced diabetic mice, NLRP3-centered inflammasome was activated in the inner nuclear layer within microglia. Microglial activation was also found in the choroid, retina and fibrovascular membranes (FVMs) of PDR patients [3]. In the single-cell RNA sequencing (scRNA-seq) data of peripheral blood mononuclear cells (PBMC) of patients with diabetic macular edema (DME), CD14++ monocytes (MC) expressing multiple inflammatory cytokines and chemokines were the predominant activated cell population in circulation [4].
The complement system is also an important part of the innate immune system. In the absence of infection, complement proteins circulate in an inactive form. Upon stimulation, the complement system is activated, forming a membrane attack complex (MAC) that can effectively kill cells and producing complement fragments involved in various immune responses [5]. The deposition of MAC was detected in the retinal blood vessels of type 2 diabetic (T2D) patients with a disease course of more than 9 years and in those of DR patients [6,7]. Complement members such as the C5a, C3 and B factors increased in the vitreous humor of PDR patients [8,9,10]. Previous studies demonstrated the positive correlation of serum mannose-binding lectin (MBL), a lectin pathway activator of the complement system, with the development of DR, indicating that MBL is an independent biomarker for DR [11,12].

3. Adaptive Immunity and DR

For a long time, immunoregulation in DR has focused on innate immunity, particularly on the microglia, but growing evidence suggests that adaptive immunity is also critical in the development of metabolic inflammation and DR. Adaptive immunity, also known as acquired immunity, can recognize specific pathogenic microorganisms (antigens) or biomolecules. It is primarily made up of T cells (including CD4+ T cells, CD8+ T cells and natural killer T (NKT) cells) and B cells. CD4+ effector T cells can be further subdivided into proinflammatory T helper 1 (Th1), Th17 and Follicular T-helper (Tfh) [13], anti-inflammatory Th2 and Foxp3+ regulatory T (Treg) cells according to their functions and cytokines [14]. CD8+ T cells are essential for adaptive immune responses against infection as they secrete cytokines such as interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α) [15]. Balance between Th2 or Tregs, and the effector T cell subsets, such as Th1 or Th17 cells, is critical for immune homeostasis and immune responses.

3.1. Changes in Adaptive Immunity during DR: Clinical and Experimental Evidence

Signs of lymphocyte activation were observed in circulation in DR patients, including the reduced surface expression of L-selectin. The reduced expression of L-selectin on CD3+ cells was associated with increased leucocyte adhesion. More CD4+ Tfh cells were found in circulation in DR patients [16,17] and in the lymph nodes and retinal tissues of STZ-induced diabetic mice. The inhibition of Bcl-6, a key transcription factor for Tfh cell development, prevented the up-regulation of Tfh cells and their typical IL-21 cytokines and improved vascular leakage in DR mice or retinal angiogenesis in oxygen-induced retinopathy (OIR) mice [18]. These results suggest the involvement of lymphocyte activation in DR pathogenesis.
In addition, lymphocyte infiltration was also found in the peripheral samples of DR patients. The densities of CD4+ T cells, CD8+ T cells and CD19+ B cells significantly increased in the FVMs of active PDR patients compared with that of epiretinal membranes without DR [19,20]. Marked alterations in the lymphocytes of DR patients indicate the strong correlation of lymphocytes with the occurrence and progression of DR. Therefore, how lymphocytes activate and function becomes questions in the puzzle called DR pathophysiology.

3.2. Mechanism of Lymphocyte Activation in Diabetes

Two separate signals are required in the complete activation of lymphocytes. Preliminary antigen-specific signals are sent through antigen receptors: the T-cell receptor (TCR) on T cells and the surface immune globulin (Ig) on B cells. The second signal, called co-stimulation, is independent of antigen receptors and is required for full activation. Well-known costimulatory molecules include B7-1 (CD80) and B7-2 (CD86), expressed on activated antigen-presenting cells (APC). Their ligand, CD28, is correspondently found on the surface of T cells [21].
Obesity is the hallmark of metabolic syndrome and predisposes patients to the development of major chronic metabolic diseases including type 2 diabetes mellitus (T2DM). In adipose tissue, phenotypic changes in T cells, as well as the recruitment of B and T cells, preceded the infiltration of macrophages [22]. A study demonstrated that patients with diabetic ketoacidosis (DKA) and hyperglycemia exhibited increased levels of proinflammatory cytokines and activated CD4+ and CD8+ T lymphocytes [23]. In in vitro studies, the expression of CD28-like costimulatory molecule ICOS (CD278) on the surface of T cells was induced by high glucose (HG) levels or advanced glycation end products (AGEs). Higher levels of IFN-γ, interleukin-4 (IL-4), IL-10 and other cytokines were found in the supernatant when T cells were co-cultured with ICOSL-expressing human umbilical vein endothelial cells (HUVECs) but were not observed in non-contact T cells or T cells treated with HUVEC conditioned medium [24]. This indicates that direct cell–cell contact between T lymphocytes and endothelial cells is necessary for T cell activation in HG or AGE treatment.
Evidence that elevated major histocompatibility complex class II (MHC II) in insulin-resistant tissues is involved in the activation of CD4+ T cells is mounting. A study by Shirakawa et al. demonstrated that activated CD4+ T cells increased in the visceral adipose tissue of obese mice [25]. These cells, called adipocyte resident T cells (ART), regulated the metabolic and inflammatory response, mainly through the up-regulation of MHC II and the secretion of leptin by adipocytes to activate CD4+ T cells and subsequently triggered adipose tissue inflammation. MHCII−/− mice fed a high fat diet (HFD) had less adipose inflammation and insulin resistance than wild-type mice [26]. These studies suggest that CD4+T, which plays an important role in inflammation and insulin resistance, can be activated by adipocytes in an antigen-specific, contact-dependent direct pathway.
In the diabetic state, low levels of effective insulin concentrations as well as high contents of glucose and free fatty acids provide an environment for oxidative stress and inflammatory pathway activation [27]. High levels of glucose can form intracellular oxidants in lymphocytes, activating kinase phosphorylates such as IκB, which release nuclear factor-kappaB (NF-κB) into the nucleus. NF-κB binds to κB binding sites in the promoter region of inflammatory genes, leading to the transcription and translation of several proinflammatory mediators [28]. Proinflammatory mediators, such as cytokines, adhesion molecules (intercellular adhesion molecule (ICAM) and platelet endothelial cell adhesion molecule (PECAM)), prostaglandins and arachidonic acid, subsequently lead to the activation of T lymphocytes.
In conclusion, the activation of lymphocytes in DR is mainly involved in two pathways, including a direct contact pathway (up-regulated MHC II molecules or co-stimulators) and an indirect paracrine pathway (a higher level of cytokines), in a diabetic environment (Figure 1).

3.3. Interaction between Lymphocytes and Retinal Vascular Unit in DR

Retinal vascular dysfunction can be caused by a variety of factors, such as AGE products and receptors, proinflammatory cytokines and chemokines, proliferator-activated receptor-γ disruption, growth factors, oxidative stress and microRNA [29,30,31,32,33,34,35]. These factors promote retinal endothelial apoptosis and neovascularization, leading to the development of DR. Lymphocyte infiltration also contributes to the formation of prooxidative and proinflammatory microenvironments, which cannot be neglected in the progression of diabetic microangiopathy.
Lymphocytes affect target cells by secreting inflammatory cytokines. Once activated, Th1 cells release large amounts of cytokines such as IFN-γ, IL-2 and TNF, thereby triggering cell-mediated immune response and phagocyte-dependent inflammation [18]. Increased levels of IFN-γ and IL-2 have been observed in the vitreous or aqueous humor of patients with diabetes or DR [36,37] and in retina of diabetic rats [38].
Endothelial barrier function is tightly controlled by a wide range of signaling cascades, including the nitric oxide (NO)/cyclic guanosine monophosphate (GMP) pathway. IFN-γ was also demonstrated to promote the permeability of HUVECs, which may be associated with an increase in NO production by IFN-γ [39]. In addition, IFN-γ induced disruptions in the endothelial cell junction and reduced the endothelial barrier properties via Rho kinase (ROCK)-mediated cytoskeleton contraction. The neutralization of IFN-γ attenuated vascular ROCK activity and, therefore, improved the endothelial barrier integrity and pericyte coverage [40]. The level of TNF-α significantly increased in DR patients, as shown in a meta-analysis study [41]. TNF-α reduced the expression of tight junction proteins by activating protein kinase C zeta (PKCζ) and NF-κB, thereby increasing the permeability of retinal endothelial cells [42].
In addition, the proinflammatory cytokine IL-17A, mainly produced by Th17 cells, may participate in the development of retinal inflammation and long-term vascular pathology in diabetic mice. T cells and neutrophils expressing IL-17A were found in diabetic retinal vasculature. Furthermore, the IL-17A receptor was expressed on Müller glia cells, retinal endothelial cells and photoreceptors [43]. IL-17A signaling induced photoreceptor cells to produce ROS, and systemic ablation of IL-17A reduced retinal inflammation, oxidative stress and vascular leakage. In addition, IL-17A ablation was related to significant reductions in the levels of chemokines (CCL2, CCL5, CX3CL1, CXCL1 and CXCL5), proinflammatory cytokines (TNF and IL-1) and growth factors (G-CSF and GM-CSF) and to increases in the levels of the matrix metalloproteinase 9 (MMP-9) inhibitor and the tissue inhibitor of metalloproteinase (TIMP-1) [43]. Among them, MMP-9 is related to the release of TGF-β1 and VEGF and can participate in the destruction of the blood–retina barrier (BRB), inflammation, angiogenesis, mitochondrial damage and apoptosis by changing the vascular permeability [44] (Figure 2).
Endothelial cells can be protected by inhibiting the activation of T lymphocytes and the paracrine effect of T cells. It was found that after blocking the ICOS/ICOSL pathway with the anti-ICOS antagonist antibody [24] or knocking down Ras guanine nucleotide releasing protein 4 (RasGRP4), the infiltration of CD3+ T lymphocytes and F4/80+ macrophages was reduced. The secretion of inflammatory cytokines such as IL-6, TNF-α, ICAM-1 and vascular cell adhesion molecule-1 (VCAM-1) were inhibited, along with the sustained viability of endothelial cells in diabetic mice [45].
Direct contact of activated T cells with vasculature target cells can also play a pathogenic role. The co-culture of CD8+ T cells with endothelial cells displayed more striking damage on endothelial viability compared to the treatment of the conditioned media of CD8+ T cells derived from ischemic tissues of T2D patients and a T2D Leprdb/db mouse model, indicating the nonredundant role of the direct contact of lymphocyte with endothelial cells [46]. However, the precise mechanism remains to be further investigated.

3.4. The Interaction of Lymphocytes with DR Resident Innate Immunity

Microglia are important components of retinal innate immunity. Adaptive immunity plays a vital role in the development and activation of microglia. Single-cell sequencing of the central nervous system revealed that, in the absence of murine CD4+ T cells, resident microglia remained in the fetal state. The final stage of normal microglial differentiation was defective in MHC II KO mice [47]. It seems that CD4+T cells affect the development of microglia partially due to their direct contact. In addition to normal development, adaptive immunity is also involved in microglial activation under pathological circumstances.
Under a high-glucose environment, AGE contributes to Th1 cell activation and its production of IFN-γ. IFN-γ in turn promotes M1 polarization and enhances its proinflammatory function by inducing the release of IL-1, IL-6 and TNF-α. In contrast, Th2 cells can produce anti-inflammatory IL-4 and IL-13, thereby causing macrophages to differentiate into M2 [48,49]. The imbalance in macrophage polarization between proinflammatory M1 and anti-inflammatory M2 is regarded as a key factor in the development of obesity and T2DM [50]. In diet-induced obesity, CD8+ T cells in adipose tissue increased and induced the recruitment and differentiation of M1, which secreted TNF-α, whereas the amount of M2, which secreted IL-10, decreased in adipose tissue [51]. Thus, activated Th1 and Th2 induce M1/M2 polarization in a paracrine manner. Studies showed that CD8+T could stimulate the transformation from M2 to M1 and could aggravate inflammation and insulin resistance. The elimination of CD8+ T inhibited macrophage recruitment, attenuating insulin resistance and inflammation [52]. Therefore, manipulating microglia into an M2-polarized state provides new insights into targeting neuroinflammation and may be a therapeutic strategy to delay and/or prevent the deterioration of visual function in diabetic patients [53,54].
It was been revealed that treatment with CD28 super-agonists (CD28SAs) increased the amount of circulating Tregs and upregulated M2 dominant macrophage/microglia expression in T2DM stroke mice. In addition, the adoptive transfer or anti-IL-2-induced expansion of Tregs reduced the activation of Tmem119+ retinal microglia and further reduced retinal vascular occlusion and neovascularization. The upregulation of costimulatory molecules and proinflammatory mediators was attenuated by CTLA-4 blockade [55]. Thus, Tregs may play a potential protective role in the pathogenesis of DR, which serves as a potential intervention of DR. However, the activation state of microglia dynamically changed in a multi-facet disease setting. Treg cells transform into proinflammatory Th17-like cells in T2D patients. The immunosuppressive activity of Treg cells was negatively correlated with body mass index (BMI) and HbA1c levels [56]. Therefore, an increase in Tregs or the conversion of local proinflammatory T cells to anti-inflammatory Tregs may be considered a long-term and sustained therapeutic strategy for DR treatment.

4. Conclusions and Perspectives: Potential Therapeutic Strategies

Current treatments for DR include strict control of the systemic condition, intravitreal drug therapy, laser photocoagulation and surgery. DR is a complex neurovascular disease that affects not only the vascular structure but also the nerve tissue of the retina. The activation of immune cells occurs earlier than neural degradation and the consequential microvascular abnormalities. The pathological interaction among neurons, vascular cells, and local immune cells that, together, form neurovascular units is thought to be related to the early progression of DR. Targeting lymphocyte-mediated microglial polarization and lymphocyte polarization may be a novel strategy to modulate neurovascular inflammation in DR.
Interference with cytokines produced by lymphocytes exhibits a broad therapeutic prospect in DR. Adalimumab is the first fully human monoclonal antibody directed against TNF that is approved in December 2002 by the US Food and Drug Administration (FDA) for the treatment of moderate to severe rheumatoid arthritis (RA) [57]. Adalimumab has also shown efficacy in treating refractory uveitis in multiple settings. Studies showed that Adalimumab induced a significant reduction in microglial activation and the reversion of M1/M2 polarization, resulting in photoreceptor survival in retinal degeneration [58]. Moreover, significant increases in the number and function of Treg cells were observed in RA patients with Adalimumab [59]. It is tempting to speculate that Adalimumab could be a promising therapy for DR, attributed to its potential function of immunosuppression and neuroprotection.
The regulation of T cell polarization also serves as an alternative strategy for modulating vascular inflammation, including the balance of Th1/Th2 and Th17/Treg polarization. In a prospective open-label, phase 1, phase 2a study, low-dose IL-2 treatment was found to be able to promote the survival and immunosuppressive function of Treg and clinical improvements in patients with autoimmune vasculitis [60]. Interestingly, the usage of the humanized anti-IL-6 receptor antibody Tocilizumab in the treatment of RA showed that IL-6 blockade will skew the polarization from Th17 to Treg cells in favor of anti-inflammatory responses [61].
Furthermore, circulating leukocytes, including lymphocytes, serve as a messenger that transmits systemic pathological information to peripheral tissue. Thus, targeting lymphocytes can be considered in early interventions for DR, a common ocular diabetic complication. Above all, the modulation or blockade of lymphocyte activation may be of interest in developing a general therapeutic strategy to prevent systemic complications, other than DR, in diabetic patients.

Author Contributions

Conceptualization, S.Y. and Q.L.; resources, M.X., M.C. and W.Y.; writing—original draft preparation, M.X. and X.M.; writing—review and editing, S.Y. and X.M.; visualization, M.X.; supervision, S.Y.; project administration, Q.L.; funding acquisition, X.M., S.Y. and Q.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (81970821, 82271100, 82201239 and 81870694).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pitale, P.M.; Gorbatyuk, M.S. Diabetic Retinopathy: From Animal Models to Cellular Signaling. Int. J. Mol. Sci. 2022, 23, 1487. [Google Scholar] [CrossRef] [PubMed]
  2. Xiao, Y.; Hu, X.; Fan, S.; Zhong, J.; Mo, X.; Liu, X.; Hu, Y. Single-Cell Transcriptome Profiling Reveals the Suppressive Role of Retinal Neurons in Microglia Activation Under Diabetes Mellitus. Front. Cell Dev. Biol. 2021, 9, 680947. [Google Scholar] [CrossRef] [PubMed]
  3. Campos, A.; Campos, E.J.; Martins, J.; Rodrigues, F.S.C.; Silva, R.; Ambrósio, A.F. Inflammatory cells proliferate in the choroid and retina without choroidal thickness change in early Type 1 diabetes. Exp. Eye Res. 2020, 199, 108195. [Google Scholar] [CrossRef] [PubMed]
  4. Ma, P.; Zhang, P.; Chen, S.; Shi, W.; Ye, J.; Chen, S.; Ju, R.; Liu, B.; Zheng, Y.; Liu, Y. Immune Cell Landscape of Patients with Diabetic Macular Edema by Single-Cell RNA Analysis. Front. Pharm. 2021, 12, 754933. [Google Scholar] [CrossRef] [PubMed]
  5. Zipfel, P.F.; Skerka, C. Complement regulators and inhibitory proteins. Nat. Rev. Immunol. 2009, 9, 729–740. [Google Scholar] [CrossRef] [PubMed]
  6. Gerl, V.B.; Bohl, J.; Pitz, S.; Stoffelns, B.; Pfeiffer, N.; Bhakdi, S. Extensive deposits of complement C3d and C5b-9 in the choriocapillaris of eyes of patients with diabetic retinopathy. Investig. Ophthalmol. Vis. Sci. 2002, 43, 1104–1108. [Google Scholar]
  7. Zhang, J.; Gerhardinger, C.; Lorenzi, M. Early complement activation and decreased levels of glycosylphosphatidylinositol-anchored complement inhibitors in human and experimental diabetic retinopathy. Diabetes 2002, 51, 3499–3504. [Google Scholar] [CrossRef] [Green Version]
  8. Muramatsu, D.; Wakabayashi, Y.; Usui, Y.; Okunuki, Y.; Kezuka, T.; Goto, H. Correlation of complement fragment C5a with inflammatory cytokines in the vitreous of patients with proliferative diabetic retinopathy. Graefes Arch. Clin. Exp. Ophthalmol. 2013, 251, 15–17. [Google Scholar] [CrossRef]
  9. Gao, B.B.; Chen, X.; Timothy, N.; Aiello, L.P.; Feener, E.P. Characterization of the vitreous proteome in diabetes without diabetic retinopathy and diabetes with proliferative diabetic retinopathy. J. Proteome. Res. 2008, 7, 2516–2525. [Google Scholar] [CrossRef]
  10. Mandava, N.; Tirado-Gonzalez, V.; Geiger, M.D.; Patnaik, J.L.; Frazer-Abel, A.; Lynch, A.M.; Mandava, N.; Palestine, A.G.; Holers, V.M.; Wagner, B.D.; et al. Complement Activation in the Vitreous of Patients with Proliferative Diabetic Retinopathy. Investig. Ophthalmol. Vis. Sci. 2020, 61, 39. [Google Scholar] [CrossRef]
  11. Geng, P.; Ding, Y.; Qiu, L.; Lu, Y. Serum mannose-binding lectin is a strong biomarker of diabetic retinopathy in chinese patients with diabetes. Diabetes Care 2015, 38, 868–875. [Google Scholar] [CrossRef] [PubMed]
  12. Liao, W.L.; Lin, J.M.; Liu, S.P.; Chen, S.Y.; Lin, H.J.; Wang, Y.H.; Lei, Y.J.; Huang, Y.C.; Tsai, F.J. Loss of Response Gene to Complement 32 (RGC-32) in Diabetic Mouse Retina Is Involved in Retinopathy Development. Int. J. Mol. Sci. 2018, 19, 3629. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Qi, H.; Liu, D.; Ma, W.; Wang, Y.; Yan, H. Bcl-6 controlled TFH polarization and memory: The known unknowns. Curr. Opin. Immunol. 2014, 28, 34–41. [Google Scholar] [CrossRef] [PubMed]
  14. Raphael, I.; Nalawade, S.; Eagar, T.N.; Forsthuber, T.G. T cell subsets and their signature cytokines in autoimmune and inflammatory diseases. Cytokine 2015, 74, 5–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Zhou, T.; Hu, Z.; Yang, S.; Sun, L.; Yu, Z.; Wang, G. Role of Adaptive and Innate Immunity in Type 2 Diabetes Mellitus. J. Diabetes Res. 2018, 2018, 7457269. [Google Scholar] [CrossRef]
  16. Heuts, F.; Edner, N.M.; Walker LSFollicular, T. Helper Cells: A New Marker of Type 1 Diabetes Risk? Diabetes 2017, 66, 258–260. [Google Scholar] [CrossRef] [Green Version]
  17. Kenefeck, R.; Wang, C.J.; Kapadi, T.; Wardzinski, L.; Attridge, K.; Clough, L.E.; Heuts, F.; Kogimtzis, A.; Patel, S.; Rosenthal, M.; et al. Follicular helper T cell signature in type 1 diabetes. J. Clin. Investig. 2015, 125, 292–303. [Google Scholar] [CrossRef] [Green Version]
  18. Liu, Y.; Yang, Z.; Lai, P.; Huang, Z.; Sun, X.; Zhou, T.; He, C.; Liu, X. Bcl-6-directed follicular helper T cells promote vascular inflammatory injury in diabetic retinopathy. Theranostics 2020, 10, 4250–4264. [Google Scholar] [CrossRef]
  19. Urbančič, M.; Štunf, Š.; Milutinović Živin, A.; Petrovič, D.; GlobočnikPetrovič, M. Epiretinal membrane inflammatory cell density might reflect the activity of proliferative diabetic retinopathy. Investig. Ophthalmol. Vis. Sci. 2014, 55, 8576–8582. [Google Scholar]
  20. Urbančič, M.; Petrovič, D.; Živin, A.M.; Korošec, P.; Fležar, M.; Petrovič, M.G. Correlations between vitreous cytokine levels and inflammatory cells in fibrovascular membranes of patients with proliferative diabetic retinopathy. Mol. Vis. 2020, 26, 472–482. [Google Scholar]
  21. Azuma, M.; Phillips, J.H.; Lanier, L.L. CD28- T lymphocytes. Antigenic and functional properties. J. Immunol. 1993, 150, 1147–1159. [Google Scholar] [PubMed]
  22. Sell, H.; Habich, C.; Eckel, J. Adaptive immunity in obesity and insulin resistance. Nat. Rev. Endocrinol. 2012, 8, 709–716. [Google Scholar] [CrossRef] [PubMed]
  23. Stentz, F.B.; Kitabchi, A.E. Hyperglycemia-induced activation of human T-lymphocytes with de novo emergence of insulin receptors and generation of reactive oxygen species. Biochem. Biophys. Res. Commun. 2005, 335, 491–495. [Google Scholar] [CrossRef] [PubMed]
  24. Zhang, H.Y.; Ruan, L.B.; Li, Y.; Yang, T.R.; Liu, W.J.; Jiang, Y.X.; Li, T.R.; Quan, J.; Xuan, W. ICOS/ICOSL upregulation mediates inflammatory response and endothelial dysfunction in type 2 diabetes mellitus. Eur. Rev. Med. Pharm. Sci. 2018, 22, 8898–8908. [Google Scholar]
  25. Shirakawa, K.; Yan, X.; Shinmura, K.; Endo, J.; Kataoka, M.; Katsumata, Y.; Yamamoto, T.; Anzai, A.; Isobe, S.; Yoshida, N.; et al. Obesity accelerates T cell senescence in murine visceral adipose tissue. J. Clin. Investig. 2016, 126, 4626–4639. [Google Scholar] [CrossRef] [Green Version]
  26. Deng, T.; Lyon, C.J.; Minze, L.J.; Lin, J.; Zou, J.; Liu, J.Z.; Ren, Y.; Yin, Z.; Hamilton, D.J.; Reardon, P.R.; et al. Class II major histocompatibility complex plays an essential role in obesity-induced adipose inflammation. Cell Metab. 2013, 17, 411–422. [Google Scholar] [CrossRef] [Green Version]
  27. Brownlee, M. Biochemistry and molecular cell biology of diabetic complications. Nature 2001, 414, 813–820. [Google Scholar] [CrossRef]
  28. Huang, W.; Xu, L.; Zhou, X.; Gao, C.; Yang, M.; Chen, G.; Zhu, J.; Jiang, L.; Gan, H.; Gou, F.; et al. High glucose induces activation of NF-κB inflammatory signaling through IκBα sumoylation in rat mesangial cells. Biochem. Biophys. Res. Commun. 2013, 438, 568–574. [Google Scholar] [CrossRef]
  29. Yuuki, T.; Kanda, T.; Kimura, Y.; Kotajima, N.; Tamura, J.; Kobayashi, I.; Kishi, S. Inflammatory cytokines in vitreous fluid and serum of patients with diabetic vitreoretinopathy. J. Diabetes Complicat. 2001, 15, 257–259. [Google Scholar] [CrossRef]
  30. Miyamoto, K.; Hiroshiba, N.; Tsujikawa, A.; Ogura, Y. In vivo demonstration of increased leukocyte entrapment in retinal microcirculation of diabetic rats. Investig. Ophthalmol. Vis. Sci. 1998, 39, 2190–2194. [Google Scholar]
  31. Rübsam, A.; Parikh, S.; Fort, P.E. Role of Inflammation in Diabetic Retinopathy. Int. J. Mol. Sci. 2018, 19, 942. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Roy, S.; Kern, T.S.; Song, B.; Stuebe, C. Mechanistic Insights into Pathological Changes in the Diabetic Retina: Implications for Targeting Diabetic Retinopathy. Am. J. Pathol. 2017, 187, 9–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Antonetti, D.A.; Klein, R.; Gardner, T.W. Diabetic retinopathy. N. Engl. J. Med. 2012, 366, 1227–1239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Masuda, T.; Shimazawa, M.; Hara, H. Retinal Diseases Associated with Oxidative Stress and the Effects of a Free Radical Scavenger (Edaravone). Oxidative Med. Cell Longev. 2017, 2017, 9208489. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Wang, J.; Xu, X.; Elliott, M.H.; Zhu, M.; Le, Y.Z. Müller cell-derived VEGF is essential for diabetes-induced retinal inflammation and vascular leakage. Diabetes 2010, 59, 2297–2305. [Google Scholar] [CrossRef]
  36. Vujosevic, S.; Micera, A.; Bini, S.; Berton, M.; Esposito, G.; Midena, E. Proteome analysis of retinal glia cells-related inflammatory cytokines in the aqueous humour of diabetic patients. Acta Ophthalmol. 2016, 94, 56–64. [Google Scholar] [CrossRef] [PubMed]
  37. Tsai, T.; Kuehn, S.; Tsiampalis, N.; Vu, M.K.; Kakkassery, V.; Stute, G.; Dick, H.B.; Joachim, S.C. Anti-inflammatory cytokine and angiogenic factors levels in vitreous samples of diabetic retinopathy patients. PLoS ONE 2018, 13, e0194603. [Google Scholar] [CrossRef] [Green Version]
  38. Johnsen-Soriano, S.; Sancho-Tello, M.; Arnal, E.; Navea, A.; Cervera, E.; Bosch-Morell, F.; Miranda, M.; Javier Romero, F. IL-2 and IFN-gamma in the retina of diabetic rats. Graefes. Arch. Clin. Exp. Ophthalmol. 2010, 248, 985–990. [Google Scholar] [CrossRef]
  39. Ng, C.T.; Fong, L.Y.; Low, Y.Y.; Ban, J.; Hakim, M.N.; Ahmad, Z. Nitric oxide participates in IFN-gamma-induced HUVECs hyperpermeability. Physiol. Res. 2016, 65, 1053–1058. [Google Scholar] [CrossRef]
  40. Bonney, S.; Seitz, S.; Ryan, C.A.; Jones, K.L.; Clarke, P.; Tyler, K.L.; Siegenthaler, J.A. Gamma Interferon Alters Junctional Integrity via Rho Kinase, Resulting in Blood-Brain Barrier Leakage in Experimental Viral Encephalitis. mBio 2019, 10, e01675-19. [Google Scholar] [CrossRef] [Green Version]
  41. Gao, W.; Zhu, R.; Yang, L. Association of Tumor Necrosis Factor-Alpha-308 G/A and -238 G/A Polymorphism with Diabetic Retinopathy: A Systematic Review and Updated Meta-Analysis. Ophthalmic. Res. 2021, 64, 903–915. [Google Scholar] [CrossRef] [PubMed]
  42. Aveleira, C.A.; Lin, C.M.; Abcouwer, S.F.; Ambrósio, A.F.; Antonetti, D.A. TNF-α signals through PKCζ/NF-κB to alter the tight junction complex and increase retinal endothelial cell permeability. Diabetes 2010, 59, 2872–2882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Sigurdardottir, S.; Zapadka, T.E.; Lindstrom, S.I.; Liu, H.; Taylor, B.E.; Lee, C.A.; Kern, T.S.; Taylor, P.R. Diabetes-mediated IL-17A enhances retinal inflammation, oxidative stress, and vascular permeability. Cell Immunol. 2019, 341, 103921. [Google Scholar] [CrossRef] [PubMed]
  44. Kowluru, R.A.; Mishra, M. Regulation of Matrix Metalloproteinase in the Pathogenesis of Diabetic Retinopathy. Prog. Mol. Biol. Transl. Sci. 2017, 148, 67–85. [Google Scholar] [PubMed]
  45. Huang, S.; Wang, J.; Zhang, L.; Tian, S.; Wang, Y.; Shao, X.; Zhou, S.; Yu, P. Ras guanine nucleotide-releasing protein-4 promotes renal inflammatory injury in type 2 diabetes mellitus. Metabolism 2022, 131, 155177. [Google Scholar] [CrossRef]
  46. Liang, C.; Yang, K.Y.; Chan, V.W.; Li, X.; Fung, T.H.W.; Wu, Y.; Tian, X.Y.; Huang, Y.; Qin, L.; Lau, J.Y.W.; et al. CD8(+) T-cell plasticity regulates vascular regeneration in type-2 diabetes. Theranostics 2020, 10, 4217–4232. [Google Scholar] [CrossRef]
  47. Pasciuto, E.; Burton, O.T.; Roca, C.P.; Lagou, V.; Rajan, W.D.; Theys, T.; Mancuso, R.; Tito, R.Y.; Kouser, L.; Callaerts-Vegh, Z.; et al. Microglia Require CD4 T Cells to Complete the Fetal-to-Adult Transition. Cell 2020, 182, 625–640.e624. [Google Scholar] [CrossRef]
  48. Feuerer, M.; Herrero, L.; Cipolletta, D.; Naaz, A.; Wong, J.; Nayer, A.; Lee, J.; Goldfine, A.B.; Benoist, C.; Shoelson, S.; et al. Lean, but not obese, fat is enriched for a unique population of regulatory T cells that affect metabolic parameters. Nat. Med. 2009, 15, 930–939. [Google Scholar] [CrossRef]
  49. Chatzigeorgiou, A.; Karalis, K.P.; Bornstein, S.R.; Chavakis, T. Lymphocytes in obesity-related adipose tissue inflammation. Diabetologia 2012, 55, 2583–2592. [Google Scholar] [CrossRef]
  50. Winer, S.; Chan, Y.; Paltser, G.; Truong, D.; Tsui, H.; Bahrami, J.; Dorfman, R.; Wang, Y.; Zielenski, J.; Mastronardi, F.; et al. Normalization of obesity-associated insulin resistance through immunotherapy. Nat. Med. 2009, 15, 921–929. [Google Scholar] [CrossRef]
  51. Nishimura, S.; Manabe, I.; Nagasaki, M.; Eto, K.; Yamashita, H.; Ohsugi, M.; Otsu, M.; Hara, K.; Ueki, K.; Sugiura, S.; et al. CD8+ effector T cells contribute to macrophage recruitment and adipose tissue inflammation in obesity. Nat. Med. 2009, 15, 914–920. [Google Scholar] [CrossRef] [PubMed]
  52. Kong, L.; Andrikopoulos, S.; MacIsaac, R.J.; Mackay, L.K.; Nikolic-Paterson, D.J.; Torkamani, N.; Zafari, N.; Marin, E.C.S.; Ekinci, E.I. Role of the adaptive immune system in diabetic kidney disease. J. Diabetes Investig. 2022, 13, 213–226. [Google Scholar] [CrossRef] [PubMed]
  53. Arroba, A.I.; Alcalde-Estevez, E.; García-Ramírez, M.; Cazzoni, D.; de la Villa, P.; Sánchez-Fernández, E.M.; Mellet, C.O.; García Fernández, J.M.; Hernández, C.; Simó, R.; et al. Modulation of microglia polarization dynamics during diabetic retinopathy in db/db mice. Biochim. Biophys. Acta 2016, 1862, 1663–1674. [Google Scholar] [CrossRef] [PubMed]
  54. Roche, S.L.; Wyse-Jackson, A.C.; Gómez-Vicente, V.; Lax, P.; Ruiz-Lopez, A.M.; Byrne, A.M.; Cuenca, N.; Cotter, T.G. Progesterone Attenuates Microglial-Driven Retinal Degeneration and Stimulates Protective Fractalkine-CX3CR1 Signaling. PLoS ONE 2016, 11, e0165197. [Google Scholar] [CrossRef] [Green Version]
  55. Deliyanti, D.; Talia, D.M.; Zhu, T.; Maxwell, M.J.; Agrotis, A.; Jerome, J.R.; Hargreaves, E.M.; Gerondakis, S.; Hibbs, M.L.; Mackay, F.; et al. Foxp3(+) Tregs are recruited to the retina to repair pathological angiogenesis. Nat. Commun. 2017, 8, 748. [Google Scholar] [CrossRef]
  56. Zhu, L.; Song, H.; Zhang, L.; Meng, H. Characterization of IL-17-producing Treg cells in type 2 diabetes patients. Immunol. Res. 2019, 67, 443–449. [Google Scholar] [CrossRef]
  57. LaMattina, K.C.; Goldstein, D.A. Adalimumab for the treatment of uveitis. Expert. Rev. Clin. Immunol. 2017, 13, 181–188. [Google Scholar] [CrossRef]
  58. Martínez-Fernández de la Cámara, C.; Hernández-Pinto, A.M.; Olivares-González, L.; Cuevas-Martín, C.; Sánchez-Aragó, M.; Hervás, D.; Salom, D.; Cuezva, J.M.; de la Rosa, E.J.; Millán, J.M.; et al. Adalimumab Reduces Photoreceptor Cell Death in A Mouse Model of Retinal Degeneration. Sci. Rep. 2015, 5, 11764. [Google Scholar] [CrossRef] [Green Version]
  59. Vigna-Pérez, M.; Abud-Mendoza, C.; Portillo-Salazar, H.; Alvarado-Sánchez, B.; Cuevas-Orta, E.; Moreno-Valdés, R.; Baranda, L.; Paredes-Saharopulos, O.; González-Amaro, R. Immune effects of therapy with Adalimumab in patients with rheumatoid arthritis. Clin. Exp. Immunol. 2005, 141, 372–380. [Google Scholar] [CrossRef]
  60. Saadoun, D.; Rosenzwajg, M.; Joly, F.; Six, A.; Carrat, F.; Thibault, V.; Sene, D.; Cacoub, P.; Klatzmann, D. Regulatory T-cell responses to low-dose interleukin-2 in HCV-induced vasculitis. N. Engl. J. Med. 2011, 365, 2067–2077. [Google Scholar] [CrossRef]
  61. Samson, M.; Audia, S.; Janikashvili, N.; Ciudad, M.; Trad, M.; Fraszczak, J.; Ornetti, P.; Maillefert, J.F.; Miossec, P.; Bonnotte, B. Brief report: Inhibition of interleukin-6 function corrects Th17/Treg cell imbalance in patients with rheumatoid arthritis. Arthritis Rheum. 2012, 64, 2499–2503. [Google Scholar] [CrossRef] [PubMed]
Jcm 11 06499 g001 550
Figure 1. Activation pathways of T lymphocytes in diabetes. Direct contact between APC and T cells through MHCII and co-stimulators on the cell surface; increased glucose, AGEs, LDL, ROS, Ang II and leptin in diabetic microenvironment or cytokines such as TNF-α and IL-1β secreted by APC activate T cells, forming the paracrine pathway. Red arrows represent the upregulation of gene expression or increase of risk factors in diabetes. Black dotted arrows stand for cellular interaction through paracrine pathway. AGEs, advanced glycation end-products; AT1R, angiotensin II type 1 receptor; ICAM-1, intercellular adhesion molecule-1; LDL, low-density lipoprotein; RAGE, receptor for advanced glycation end products; ROS, reactive oxygen species; ICOSL, inducible co-stimulatory molecule ligand; MHCII, major histocompatibility complex class II; MAPK, mitogen-activated protein kinase; AKT, v-akt murine thymoma viral oncogene homologue; NF-KB, nuclear factor-kappaB.
Figure 1. Activation pathways of T lymphocytes in diabetes. Direct contact between APC and T cells through MHCII and co-stimulators on the cell surface; increased glucose, AGEs, LDL, ROS, Ang II and leptin in diabetic microenvironment or cytokines such as TNF-α and IL-1β secreted by APC activate T cells, forming the paracrine pathway. Red arrows represent the upregulation of gene expression or increase of risk factors in diabetes. Black dotted arrows stand for cellular interaction through paracrine pathway. AGEs, advanced glycation end-products; AT1R, angiotensin II type 1 receptor; ICAM-1, intercellular adhesion molecule-1; LDL, low-density lipoprotein; RAGE, receptor for advanced glycation end products; ROS, reactive oxygen species; ICOSL, inducible co-stimulatory molecule ligand; MHCII, major histocompatibility complex class II; MAPK, mitogen-activated protein kinase; AKT, v-akt murine thymoma viral oncogene homologue; NF-KB, nuclear factor-kappaB.
Jcm 11 06499 g001
Jcm 11 06499 g002 550
Figure 2. The interaction among activated T lymphocyte, endothelial cell and microglia. Activated T cells secrete cytokines or directly contact microglia and the EC, aggravating the inflammatory microenvironment and endothelial dysfunction. Red arrows represent the upregulation of gene expression. Black dotted arrows stand for cellular interaction through paracrine pathway. EC, endothelial cell; MMP9, matrix metalloproteinase 9; MCP-1, monocyte chemoattractant protein-1; INF, interferon; TNF, tumor necrosis factor; IL, interleukin; VEGFA, vascular endothelial growth factor A; HIF-1α, hypoxia inducible factor-1α.
Figure 2. The interaction among activated T lymphocyte, endothelial cell and microglia. Activated T cells secrete cytokines or directly contact microglia and the EC, aggravating the inflammatory microenvironment and endothelial dysfunction. Red arrows represent the upregulation of gene expression. Black dotted arrows stand for cellular interaction through paracrine pathway. EC, endothelial cell; MMP9, matrix metalloproteinase 9; MCP-1, monocyte chemoattractant protein-1; INF, interferon; TNF, tumor necrosis factor; IL, interleukin; VEGFA, vascular endothelial growth factor A; HIF-1α, hypoxia inducible factor-1α.
Jcm 11 06499 g002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Xue, M.; Mao, X.; Chen, M.; Yin, W.; Yuan, S.; Liu, Q. The Role of Adaptive Immunity in Diabetic Retinopathy. J. Clin. Med. 2022, 11, 6499. https://doi.org/10.3390/jcm11216499

AMA Style

Xue M, Mao X, Chen M, Yin W, Yuan S, Liu Q. The Role of Adaptive Immunity in Diabetic Retinopathy. Journal of Clinical Medicine. 2022; 11(21):6499. https://doi.org/10.3390/jcm11216499

Chicago/Turabian Style

Xue, Mengting, Xiying Mao, Mingkang Chen, Wenjie Yin, Songtao Yuan, and Qinghuai Liu. 2022. "The Role of Adaptive Immunity in Diabetic Retinopathy" Journal of Clinical Medicine 11, no. 21: 6499. https://doi.org/10.3390/jcm11216499

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop