Home Health Latest study shows circulating anti-insulin CD4 T cells reflect progression of anti-islet immunity

Latest study shows circulating anti-insulin CD4 T cells reflect progression of anti-islet immunity

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Latest study shows circulating anti-insulin CD4 T cells reflect progression of anti-islet immunity

Type 1 diabetes (T1D) is an autoimmune disease linked to helper T-cell recognition in non-obese diabetic (NOD) mice and humans. Furthermore, T1D affects the endocrine pancreas, thus causing patients to be depending on insulin alternative therapy for the remaining of their lives. Monitoring disease progression through peripheral blood sampling could provide insights into the immune-mediated mechanisms of T1D.

In a recent study published in Science Translational Medicine, researchers profile antigen-specific helper clusters of differentiation 4-positive (CD4+) T-lymphocytes to find out anti-islet autoimmunity amongst mice and humans.

Study: Measuring anti-islet autoimmunity in mice and human by profiling peripheral blood antigen-specific CD4 T cells. Image Credit: Peackstock / Shutterstock.com

In regards to the study

Blood samples were obtained from human donors, including just-diagnosed (JD) children, established T1D patients (ES), individuals with first-degree relatives with T1D and were human leukocyte antigen (HLA)-DQ8-positive, HLA-DQ8-positive normal non-diabetic blood donors without autoimmune disease within the family (NBD), and individuals at-risk for T1D monitored by the TrialNet consortium (MON).

Peripheral blood mononuclear cells (PMBCs) were isolated for flow cytometry (FC) evaluation. Polymerase chain response (PCR)-based HLA-DQA1 and DQB1 haplotyping, single-cell-type gene expression profiling, and T-cell receptor (TCR) amplicon sequencing analyses were performed. HLA-DQB1 genes were assessed, with I-Ag7 and HLA-DQ8 anti-insulin peptide-major histocompatibility complex (MHC) tetramers produced in mice and humans.

Of the 12 tetramers produced, 4 were utilized for the evaluation, which included C-peptide59–70 (Cp59–70), Cp65–75, Ins12–20, and Ins13–21. The tetramers and surface antibodies were stained for single-cell sorting through fluorescence-activated cell sorting (FACS).

Ribonucleic acid (RNA) extracted from 3,926 cells was analyzed by single-cell quantitative PCR (qPCR) and across all donors, whereas 3,926 insulin-targeted helper T lymphocytes were sorted from the samples. NOD/LtJ mice were used for the animal experiments, and weekly blood samples were collected to evaluate glycemia.

BDC2.5- and insulin-specific cells were monitored twice weekly in NOD mice between weeks 4, which is one week after weaning, and 25, at which point 80% of mice developed diabetes, using peptide tetramers. The pancreas was examined by indirect immunofluorescence (IIF) for glucagon and insulin content.

A complete of 1,839,057 helper T lymphocytes and a couple of,695 antigen-targeted cells were isolated from the murine samples. Uniform manifold approximation and projection (UMAP) and unsupervised clustering analyses were performed. Gaussian mixture modeling (GMM) was performed for the combined evaluation of the genomic and proteomic profiles.

Study findings

The proportions of anti-insulin helper T lymphocytes were in a roundabout way informative; nonetheless, the activation states of anti-insulin T lymphocytes assessed by RNA and protein profiling allowed the researchers to differentiate the absence of autoimmunity from T1D progression.

Activated anti-insulin helper T lymphocytes were detected on the time of diagnosis, in addition to amongst T1D patients with established illness and a few at-risk individuals. In regard to activation and cell count, anti-insulin T lymphocytes showed peaks and troughs throughout the study period, which was similarly observed in all mice. Nonetheless, histological examination of the pancreas of NOD mice showed a side-by-side presence of normal insulin-producing islets and islet cells that only produced glucagon.

Cytometry profiling alone adequately correlated normalcy versus T1D status with 70% accuracy, whereas the combined evaluation with gene expression data classified all at-risk individuals as diabetic or normal. Five clusters of helper T lymphocytes were visualized within the UMAP evaluation, with single-cell transcriptomics showing distinct signatures in the person groups.

Low4 and High1 clusters were observed amongst donors without autoimmunity, whereas High2 and High3 clusters were related to T1D. The next mean count was observed amongst MON individuals, with a two-way separation between low- and high-count individuals and an increased tetramer-positive cell population among the many ES individuals. This likely indicated a large-sized memory cell compartment within the patients.

T lymphocytes activated exhibited an increased expression of assorted genes, including tyrosine kinase 2 (TYK2), HLA-DRA, tumor necrosis factor receptor superfamily member 1B (TNFRSF1B), interferon alpha and beta receptor subunit 2 (IFNAR2), and nuclear factor kappa b subunit 1 (NFKB1). T follicular helper type (TFH) cells exhibited increased expression of nuclear receptor 4A1 (NR4A1), HLA-DRA, interferon-gamma receptor 1 (IFNGR1), C-C chemokine receptor 1 (CCR1), zinc finger E-box binding homeobox 2 (ZEB2), and B-cell lymphoma 6 (BCL6).

Regulatory T (Treg) lymphocytes showed increased interleukin-2 receptor subunit alpha (IL2RA), forkhead box P3 (FOXP3), GATA binding protein 3 (GATA3), T-box transcription factor protein (TBX21), CCR4, and signal transducer and activator of transcription 5B (STAT5B) expression. Memory T-cells exhibited increased in IL2RA, FOXP3, HLA-DRA, GATA3, β2 microglobulin (β2M), CD44, NFKB1, and TNFRSF1B expression.

The NBD group exhibited Treg lymphocyte predominance of about 75%, whereas TFH cells predominated within the JD and MON cohorts at 10% and 13%, respectively. Memory T-cells comprised 85%, 76%, and 60% of lymphocytes in JD, ES, and MON donors, respectively, but were fewer in NBD donors.

The NBD profile, which consisted of insulin-tolerized TH1 lymphocytes and Treg lymphocytes within the high and low expression groups, respectively, indicated a suboptimal cytokine and TCR combination. These findings suggest peripheral tolerance for insulin-targeted helper T-cells and islet-targeted immunity absence in normal individuals.

ES individuals exhibited ongoing anti-insulin responses. The P9 switch was functional for C-peptide-targeted T lymphocyte clones.

The GMM evaluation trained on 14 samples from five, 4, and five NBD, JD, and ES donors, respectively, showed that the prediction results of about 90% of T1D patients matched estimated and certain findings for all cases.

Based on the study findings, islet autoimmunity might be diagnosed in peripheral blood by antigen-targeted helper T-cell profiling in near real-time with high accuracy.

Journal reference:

  • Sharma, S., Tan, X., Boyer, J., et al. (2023). Measuring anti-islet autoimmunity in mice and human by profiling peripheral blood antigen-specific CD4 T cells. Science Translational Medicine. doi:10.1126/scitranslmed.ade3614

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