IMMUNOMETABOLIC CORRELATIONS OF AUTOANTIBODIES IN LATENT AUTOIMMUNE DIABETES IN ADULTS PATIENTS (LADA): A CROSS-SECTIONAL STUDY
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Date
2025
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Publisher
GEORGIAN MEDICAL NEWS
Abstract
Background: As a form of diabetes mellitus, latent
autoimmune diabetes in adults (LADA) shares the features
of both type 1 diabetes mellitus and type 2 diabetes mellitus,
which can result in misdiagnosis at the early stage of insulin
independence. However, we have limited knowledge about
the relations between immunological, anthropometric and
clinical parameters in LADA, mainly in Sudanese subjects.
Objective: We aimed to assess the prevalence of LADA in patients
with T2DM and to investigate associations between autoantibodies,
C-peptide, anthropometry, and clinical characteristics.
Methods: A cross-sectional comparative study was conducted
from April 2020 to January 2024 in Osman Degna Hospital and
Ahmed Hassan Diabetic Center. A total of 250 patients with type
2 diabetes were included in the study: 150 on insulin treatment
several years after diagnosis (study group) and 100 patients not
using insulin (control group). Structured interviews were used to
obtain demographic, clinical and lifestyle information. C-peptide,
GADA, and IA-2A autoantibodies in serum were detected
by the MAGLUMI-800 chemiluminescence immunoassay.
Results: The prevalence of LADA was 10.7%. The mean
C-peptide level was significantly lower in patients with LADA as
compared to non-LADA patients (0.50±0.18 vs. p0.7, p<0.001],
whilst C-peptide levels negatively correlated with GADA
concentrations [r=-0.65, p<0.001]. Inverted correlations were
found for autoantibody titers and BMI, waist, weight (p<0.01),
showing a link of autoimmune activity with leaner phenotypes
and less preserved β cell function. Conclusion: LADA is under
recognized with (10.7%), GADA as a significant early marker.
Its close associations with C-peptide and anthropometric indices
underline its autoimmune-metabolic profile.
Description
Keywords
GADA autoantibodies, LADA, β-cell function, autoimmune diabetes, biomarkers.
