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. 2022 Mar 29;12(4):542. doi: 10.3390/jpm12040542

Table 1.

Biomarkers identifying responders and non-responders to immunotherapies in T1D patients.

Biomarker Drug Patients Stage Associated Phenotype Reference
ICOS and PD-1 expression on T follicular helper abatacept New-onset T1D Predict decreased response to treatment [97]
B-cell-related genes abatacept New-onset T1D Increased in non-responders [50]
Neutrophil-related genes abatacept New-onset T1D Increased in responders [50]
TIGIT and KLRG1 on CD8+ T cells alefacept New-onset T1D Increased in responders [99]
TIGIT and KLRG1 on CD8+ T cells teplizumab New-onset T1D Increased in responders [100,101]
Low innate inflammatory
signature
abatacept New-onset T1D Greater responders [98]
HLADR4+ HLA-DR3 teplizumab At risk, ≥2 aAbs Increased in responders [15]
ZnT8 autoantibodies teplizumab At risk, ≥2 aAbs Decreased in responders [15]
PD-1 expression on CD4+ and CD8+ T cells teplizumab New-onset T1D (8 weeks) Increased in responders [62,63]
BCR signaling rituximab Established T1D Increased in responders [102]
Heterogenous T-cell signature rituximab New-onset T1D Decreased efficacy [103]

Abbreviations: T1D, type 1 diabetes, HLA, human leukocyte antigen; aAbs, autoantibodies; BCR, B-cell receptor.