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Related Experiment Video

Updated: Jul 19, 2026

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

Mannose-binding lectin and mortality in type 2 diabetes.

Troels Krarup Hansen¹, Mari-Anne Gall, Lise Tarnow

¹Immunoendocrine Research Unit, Medical Department M and Medical Research Laboratories, Aarhus University Hospital, Aarhus, Denmark. tkh@dadlnet.dk

Archives of Internal Medicine

|October 13, 2006

Summary

High mannose-binding lectin (MBL) levels predict mortality and albuminuria in type 2 diabetes patients. Measuring MBL and C-reactive protein (CRP) offers prognostic insights for these diabetic complications.

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Last Updated: Jul 19, 2026

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

Area of Science:

Immunology
Endocrinology
Nephrology

Background:

Mannose-binding lectin (MBL) and complement activation are potentially involved in diabetic vascular complications.
The study investigates the link between MBL levels and adverse outcomes in type 2 diabetes.

Purpose of the Study:

To evaluate the association between serum MBL levels and mortality in type 2 diabetes patients.
To assess the relationship between MBL and the development of albuminuria in this population.

Main Methods:

Serum MBL and C-reactive protein (CRP) levels were measured in 326 type 2 diabetes patients.
Urinary albumin excretion and vital status were monitored for over 15 years.

Main Results:

Elevated MBL levels (≥1000 μg/L) significantly increased mortality risk (HR, 1.5).
High MBL and CRP levels together strongly predicted mortality (HR, 2.7) and new-onset albuminuria (HR, 2.6).
MBL remained an independent risk factor for all-cause death, enhancing CRP's predictive power.

Conclusions:

Serum MBL levels, alone or with CRP, provide valuable prognostic information for type 2 diabetes patients.
These markers can help predict mortality and the progression of albuminuria, aiding clinical management.