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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
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Updated: Jul 4, 2025

Accelerated Type 1 Diabetes Induction in Mice by Adoptive Transfer of Diabetogenic CD4+ T Cells
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Decrease in multiple complement proteins associated with development of islet autoimmunity and type 1 diabetes.

Bobbie-Jo M Webb-Robertson1,2,3,4, Ernesto S Nakayasu1, Fran Dong5

  • 1Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.

Iscience
|February 2, 2024
PubMed
Summary
This summary is machine-generated.

Complement system disruption precedes islet autoantibodies in type 1 diabetes (T1D). Lower complement levels in children with autoimmunity may predict T1D progression, highlighting its potential as a biomarker.

Keywords:
DiabetologyImmunologyProteomics

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Area of Science:

  • Immunology
  • Endocrinology
  • Metabolic Diseases

Background:

  • Type 1 diabetes (T1D) involves autoimmune destruction of pancreatic beta cells.
  • Gene-environment interactions are implicated, but the mechanism for autoantibody development is unclear.

Purpose of the Study:

  • To investigate the role of the complement system in the pathogenesis of type 1 diabetes.
  • To determine if complement alterations precede autoantibody detection and disease onset.

Main Methods:

  • Longitudinal study monitoring complement protein levels in children at risk for T1D.
  • Analysis of complement system activity in relation to islet autoantibody status and clinical T1D diagnosis.

Main Results:

  • Disruption of the complement system was observed before islet autoantibody detection and persisted through disease onset.
  • Children progressing to clinical T1D showed lower complement protein levels compared to non-progressors.

Conclusions:

  • The complement pathway is a significant, understudied factor in T1D pathogenesis.
  • Complement protein levels may serve as predictive biomarkers for T1D development and prevention strategies.