Single-Cell Analysis of CD4 T Cells in Type 1 Diabetes: From Mouse to Man, How to Perform Mechanistic Studies

SOCS3 inhibits the mesenchymal stromal cell secretory factor SDF-1-mediated improvement of islet function in non-obese diabetic mice

BACKGROUND

Islet transplantation is used therapeutically in a minority of patients with type 1 diabetes (T1D). However, successful outcomes are hampered by early islet β-cell loss caused by immune rejection and autoimmunity. Recent studies have demonstrated that mesenchymal stromal cells can enhance islet function both in vitro and in vivo by secreting ligands that activate islet G-protein coupled receptors (GPCRs). Stromal cell-derived factor 1 (SDF-1) is an MSC-secreted GPCR ligand, whereas the suppressor of cytokine signaling 3 (SOCS3) is a negative regulator of STAT3-activating cytokines. Here, we determined whether improvement in islet function mediated by exogenous SDF-1 is impaired by SOCS3 in experimental models of T1D.

METHODS

Isolated islets were cultured for 48 h with SDF-1. Cytokine-induced apoptosis was measured immediately. Islets from Socs3^-/- mice were pre-cultured with exogenous SDF-1 and transplanted underneath the kidney capsule of C57BL/6 mice with streptozotocin-induced diabetes. Blood glucose levels were monitored for 28 days. AMD3100, an antagonist of the SDF-1 ligand CXCR4, was administered subcutaneously to islet transplanted mice to inhibit CXCR4 before and after transplantation.

RESULTS

SDF-1 protected islet cells from cytokine-induced apoptosis in vitro. SOCS3-knockout (KO) islets pretreated with SDF-1 were effective in reducing blood glucose in non-obese diabetic mice in vivo. We found that SDF-1 elicits localized immunosuppression in transplanted SOCS3-KO islets. Immunomodulation was observed when SOCS-KO islets were preconditioned with SDF-1. Gene expression and flow cytometric analyses revealed significantly decreased immune cell infiltration, inflammatory cytokines, and concomitant increases in FOXP3⁺ regulatory T cells, alternatively activated M2 macrophages, and dendritic cell phenotypes. Administration of AMD3100 impaired the SDF-1-mediated improvement in SOCS3-KO islet function and local immune suppression.

CONCLUSION

SDF-1 improves the function of islet grafts in autoimmune diabetes through regulation by CXCR4; however, the presence of SOCS3 reverses the protective effect of SDF-1 on islet grafts. These data reveal a molecular pathway that can elicit localized immunosuppression and delay graft destruction in transplanted islets.

Remifentanil combined with dexmedetomidine on the analgesic effect of breast cancer patients undergoing modified radical mastectomy and the influence of perioperative T lymphocyte subsets

OBJECTIVE

To study the analgesic effect of breast cancer patients undergoing modified radical mastectomy (MRM) and the influence of perioperative T lymphocyte subsets by remifentanil combined with dexmedetomidine.

METHODS

80 breast patients were divided into control group and research group based on the anesthesia protocol. Patients in control group was given remifentanil for anesthesia induction and maintenance, and patients in research group was given remifentanil and dexmedetomidine for anesthesia induction and maintenance. We compared the anesthesia time, operation time, surgical blood loss, postoperative wake-up time, extubation time, incidence of adverse reactions, VAS score and T lymphocyte subsets in peripheral blood in the two groups of patients.

RESULTS

The baseline data including age, height, weight and BMI, ASA classification, stage of breast cancer, frequency of neoadjuvant therapy, and surgical characteristics including anesthesia time, operation time and bleeding volume all have no significant difference between two groups (P > 0.05). Compared to control group, the time of wake up and extubation in patients of research group were all significantly decreased (P < 0.05), and significantly decreased MBP and HR after loading dose of dexmedetomidine in research group (P < 0.05). The VAS scores of patients at 4, 8, 12, 16, 20 and 24 h after surgery in the research group are all significantly lower than those in the control group (P < 0.05). Before induction of anesthesia, there was no significant difference in the ratio of CD4+, CD8+ and CD4+/CD8+ T lymphocytes in peripheral blood between the two groups (P > 0.05). At 1 h during operation and 24 h after operation, the ratio of CD4+ and CD4+/CD8+ cells in the research group was significantly higher than these of the control group (P < 0.05), while the ratio of CD8+ cells was lower than that of the control group (P < 0.05).

CONCLUSION

For breast cancer patients undergoing MRM, the use of remifentanil combined with dexmedetomidine can enhance postoperative analgesia and reduce postoperative immunosuppression.

Activation pathways that drive CD4+ T cells to break tolerance in autoimmune diseases. Immunol Rev 2022;307:161-190. [PMID: 35142369 PMCID: PMC9255211 DOI: 10.1111/imr.13071]

Autoimmune diseases are characterized by dysfunctional immune systems that misrecognize self as non-self and cause tissue destruction. Several cell types have been implicated in triggering and sustaining disease. Due to a strong association of major histocompatibility complex II (MHC-II) proteins with various autoimmune diseases, CD4+ T lymphocytes have been thoroughly investigated for their roles in dictating disease course. CD4+ T cell activation is a coordinated process that requires three distinct signals: Signal 1, which is mediated by antigen recognition on MHC-II molecules; Signal 2, which boosts signal 1 in a costimulatory manner; and Signal 3, which helps to differentiate the activated cells into functionally relevant subsets. These signals are disrupted during autoimmunity and prompt CD4+ T cells to break tolerance. Herein, we review our current understanding of how each of the three signals plays a role in three different autoimmune diseases and highlight the genetic polymorphisms that predispose individuals to autoimmunity. We also discuss the drawbacks of existing therapies and how they can be addressed to achieve lasting tolerance in patients.

MBD2 acts as a repressor to maintain the homeostasis of the Th1 program in type 1 diabetes by regulating the STAT1-IFN-γ axis

The methyl-CpG-binding domain 2 (MBD2) interprets DNA methylome-encoded information through binding to the methylated CpG DNA, by which it regulates target gene expression at the transcriptional level. Although derailed DNA methylation has long been recognized to trigger or promote autoimmune responses in type 1 diabetes (T1D), the exact role of MBD2 in T1D pathogenesis, however, remains poorly defined. Herein, we generated an Mbd2 knockout model in the NOD background and found that Mbd2 deficiency exacerbated the development of spontaneous T1D in NOD mice. Adoptive transfer of Mbd2^-/- CD4 T cells into NOD.scid mice further confirmed the observation. Mechanistically, Th1 stimulation rendered the Stat1 promoter to undergo a DNA methylation turnover featured by the changes of DNA methylation levels or patterns along with the induction of MBD2 expression, which then bound to the methylated CpG DNA within the Stat1 promoter, by which MBD2 maintains the homeostasis of Th1 program to prevent autoimmunity. As a result, ectopic MBD2 expression alleviated CD4 T cell diabetogenicity following their adoptive transfer into NOD.scid mice. Collectively, our data suggest that MBD2 could be a viable target to develop epigenetic-based therapeutics against T1D in clinical settings.

Mass cytometry and type 1 diabetes research in the age of single-cell data science

PURPOSE OF REVIEW

New single-cell tec. hnologies developed over the past decade have considerably reshaped the biomedical research landscape, and more recently have found their way into studies probing the pathogenesis of type 1 diabetes (T1D). In this context, the emergence of mass cytometry in 2009 revolutionized immunological research in two fundamental ways that also affect the T1D world: first, its ready embrace by the community and rapid dissemination across academic and private science centers alike established a new standard of analytical complexity for the high-dimensional proteomic stratification of single-cell populations; and second, the somewhat unexpected arrival of mass cytometry awoke the flow cytometry field from its seeming sleeping beauty stupor and precipitated substantial technological advances that by now approach a degree of analytical dimensionality comparable to mass cytometry.

RECENT FINDINGS

Here, we summarize in detail how mass cytometry has thus far been harnessed for the pursuit of discovery studies in T1D science; we provide a succinct overview of other single-cell analysis platforms that already have been or soon will be integrated into various T1D investigations; and we briefly consider how effective adoption of these technologies requires an adjusted model for expense allocation, prioritization of experimental questions, division of labor, and recognition of scientific contributions.

SUMMARY

The introduction of contemporary single-cell technologies in general, and of mass cytometry, in particular, provides important new opportunities for current and future T1D research; the necessary reconfiguration of research strategies to accommodate implementation of these technologies, however, may both broaden research endeavors by fostering genuine team science, and constrain their actual practice because of the need for considerable investments into infrastructure and technical expertise.