Back

Soluble LAG-3 Identifies a Dynamic Early T Cell Activation Window in self-reactivity, Type 1 Diabetes, and Broader Immune Responses.

Roy, S.; Proffer, M. L.; Syed, F.; Smithmyer, M. E.; Das Sharma, A.; Twoy, A.; SooHoo, E.; Rana, J.; Spaerth, J. M.; Meyer, E.; Jensen, K. P.; Speake, C.; Hagopia, W.; Piganelli, J. D.

2026-02-12 immunology
10.64898/2026.02.10.705171 bioRxiv
Show abstract

Aims/hypothesisType 1 diabetes is a complex autoimmune disorder in which autoreactive CD4 and CD8 T cells destroy pancreatic beta-cells, resulting in insulin deficiency and hyperglycemia. Although genetic susceptibility, particularly certain HLA alleles, contributes to disease risk, not all genetically predisposed individuals develop Type 1 diabetes. Screening first degree relatives (FDRs) for islet autoantibodies (GAD65, IAA, IA-2, ZnT8) helps detect autoimmune activity. However, these serum markers arise only after T-helper cell activation, limiting early intervention opportunities. Since protein antigen recognition by B cells requires T-helper cell assistance through linked recognition, T cell activation precedes B cell activation and autoantibody production. Activation of these T cells leads to shedding of the immune-regulatory (activation) surface protein LAG-3 (Lymphocyte Activation Gene-3 or CD223), generating its soluble form, sLAG-3, that is detectable in circulation. We hypothesized that sLAG-3 may serve as an early biomarker of autoimmune activity preceding islet autoantibody development in type 1 diabetes. MethodsPlasma sLAG-3 levels were measured longitudinally in female diabetes-prone NOD mice and analyzed in relation to islet antigen-specific CD4 T cell expansion and diabetes onset. To mechanistically link autoreactive T cell activation to sLAG-3 release. Naive autoreactive C6.6.9 TCR-transgenic (TCR-Tg) CD4 T cells were adoptively transferred into NOD.SCID mice and longitudinal assessment for plasma sLAG-3, beta-cell antigen specific CD4 T cell tetramer profiles, and circulating insulin (Ins2) mRNA to determine ongoing beta-cell stress. In parallel, sLAG-3 levels were analyzed from different human cohorts, including FDRs of individuals with type 1 diabetes, using cross-sectional and longitudinal approaches. ResultsIn murine models, elevated sLAG-3 correlated with expansion of islet-specific CD4 T cells that preceded hyperglycemia and diabetes onset. In the adoptive transfer model, early increases in sLAG-3 and circulating Ins2 mRNA marked immune activation and emerging beta-cell stress prior to overt diabetes. In our human cohorts, sLAG-3 was detectable in autoantibody-negative and single-autoantibody-positive FDRs, with higher levels observed in progressors compared to non-progressors, and associated with high-risk HLA genotypes. Conclusions/interpretationThese findings identify sLAG-3 as a candidate biomarker of early T cell activation in type 1 diabetes that may precede islet autoantibody development. Integration of sLAG-3 with antigen-specific T cell and beta-cell stress markers could improve early risk stratification and inform preventive strategies before substantial loss of beta-cell. Prospective longitudinal studies aligned to seroconversion are required to validate sLAG-3 as a surrogate marker of early disease activity. Research in contextO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LIBefore the clinical onset of hyperglycemia, type 1 diabetes is characterized by a prolonged preclinical phase in which autoreactive B and T cells mediate progressive beta-cell destruction. C_LIO_LICurrent risk stratification strategies rely mainly on genetic susceptibility (genomic DNA) and the detection of islet autoantibodies in plasma/serum. C_LIO_LIIslet autoantibodies arise only after CD4 T cell activation and therefore do not capture the earliest stages of immune dysregulation. C_LIO_LIConsequently, biomarkers that directly reflect early pathogenic T cell activity prior to, or independent of, seroconversion remain limited and insufficiently validated. C_LI What is the key question?Can plasma sLAG-3 levels, beta-cell antigen-specific CD4 T cell tetramer expression, and circulating Ins2 mRNA serve as very early biomarkers of autoimmune activity in type 1 diabetes and serve to better inform risk stratification, thereby informing preventive intervention strategies for the clinician? What are the new findings?O_LIsLAG-3 increases transiently during early antigen-specific CD4 T cell activation stage, precedes hyperglycemia in mouse models, and is elevated in autoantibody-negative and single-autoantibody-positive first-degree relatives who later progress to type 1 diabetes. C_LIO_LIsLAG-3 was associated with beta-cell antigen-specific CD4 T cell expansion, assessment of stress induced beta cell Ins2 mRNA release and high-risk HLA genotypes, indicating early autoimmune activation rather than established disease. C_LI How might this impact clinical practice in the foreseeable future?These findings support sLAG-3 as a candidate early biomarker of T cell activation, before or at the earliest stages of islet autoantibody development in some at-risk individuals. Integration of plasma sLAG-3 with beta-cell antigen specific CD4 T cell profiling and insulin mRNA measurements could complement current autoantibody-based screening, improve risk stratification, and enable earlier preventive interventions to preserve beta-cell function in patients at-risk for type 1 diabetes.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Diabetes
53 papers in training set
Top 0.1%
60.8%
50% of probability mass above
2
JCI Insight
241 papers in training set
Top 1.0%
4.1%
3
eBioMedicine
130 papers in training set
Top 0.5%
2.8%
4
Diabetologia
36 papers in training set
Top 0.5%
1.9%
5
Cell Reports
1338 papers in training set
Top 22%
1.9%
6
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.7%
1.7%
7
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.4%
1.7%
8
Cell Reports Medicine
140 papers in training set
Top 4%
1.5%
9
Diabetes Care
12 papers in training set
Top 0.2%
1.3%
10
Frontiers in Immunology
586 papers in training set
Top 5%
1.3%
11
Nature Communications
4913 papers in training set
Top 58%
1.0%
12
Journal of Clinical Investigation
164 papers in training set
Top 5%
0.9%
13
PLOS ONE
4510 papers in training set
Top 67%
0.8%
14
BMC Medicine
163 papers in training set
Top 7%
0.8%
15
Gut
36 papers in training set
Top 0.9%
0.7%
16
The Journal of Immunology
146 papers in training set
Top 2%
0.7%
17
Immunity
58 papers in training set
Top 5%
0.7%
18
EMBO Molecular Medicine
85 papers in training set
Top 5%
0.7%
19
Immunology
29 papers in training set
Top 1%
0.5%
20
Gastroenterology
40 papers in training set
Top 2%
0.5%
21
PLOS Medicine
98 papers in training set
Top 6%
0.5%
22
Alzheimer's & Dementia
143 papers in training set
Top 3%
0.5%
23
Life Science Alliance
263 papers in training set
Top 3%
0.5%
24
Matrix Biology
28 papers in training set
Top 0.5%
0.5%