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Updated: Apr 10, 2026

Assessment of Kidney Function in Mouse Models of Glomerular Disease

Assessment of Kidney Function in Mouse Models of Glomerular Disease

Published on: June 30, 2018

Mouse Models for Studying Diabetic Nephropathy.

Bryna S M Chow¹, Terri J Allen¹

¹Diabetic Complications Group, Baker IDI Heart and Diabetes Research Institute, Melbourne, Victoria, Australia.

Current Protocols in Mouse Biology

|June 13, 2015

Summary

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Diabetic nephropathy (DN) research utilizes mouse models, particularly the streptozotocin (STZ)-induced model, for studying kidney damage mechanisms and developing treatments. This guide details STZ model setup, advantages, and limitations.

Area of Science:

Nephrology
Endocrinology
Animal Models

Background:

Diabetic nephropathy (DN) is a significant cause of end-stage renal disease globally.
Effective therapeutic strategies and pathogenesis studies necessitate reliable animal models.
Mouse models are widely used due to cost, handling ease, and genetic manipulation capabilities.

Purpose of the Study:

To provide detailed insights and technical knowledge for establishing the streptozotocin (STZ)-induced mouse model of diabetic nephropathy.
To discuss the advantages and limitations of the STZ model for studying diabetic renal injury.
To explore alternative genetic models for diabetic nephropathy research.

Main Methods:

Detailed protocol for setting up the STZ-induced mouse model.

Keywords:

Akita diabetic nephropathy mouse streptozotocin

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Discussion of experimental procedures for studying DN pathogenesis in mice.

Comparative analysis of the STZ model with other genetic models.

Main Results:

The STZ-induced model is extensively used for investigating mechanisms of diabetic renal injury.
Provides a practical framework for researchers to implement this widely adopted DN model.
Highlights key considerations regarding the STZ model's strengths and weaknesses.

Conclusions:

The STZ-induced mouse model remains a valuable tool for diabetic nephropathy research.
Understanding model limitations is crucial for accurate interpretation of results.
Further exploration of diverse genetic models can enhance DN research.