Consequences of Both Coxsackievirus B4 and Type 1 Diabetes on Female Non-Obese Diabetic Mouse Kidneys

Debra L Walter1,2, Jean R Thuma3, Ramiro Malgor1,4,5

  • 1Interdisciplinary Program in Molecular and Cellular Biology, Ohio University, Athens, OH 45701, USA.

Microorganisms
|November 27, 2021
PubMed

Insights

This study identified unique molecular and phenotypic profiles to differentiate kidney injury caused by diabetes and coxsackievirus B4 infection. Combining biomarkers with functional measurements helps distinguish injury types, aiding future diagnosis of kidney disease causes.

Area of Science:

  • Nephrology
  • Molecular Biology
  • Virology

Background:

  • Kidney disease is a growing public health concern, ranking as the 8th leading cause of death in the US.
  • Identifying molecular markers for kidney injury is crucial for predicting patient outcomes.
  • Environmental factors, like viruses, can cause kidney disease and related conditions such as diabetes.

Purpose of the Study:

  • To identify molecular and phenotypic profiles distinguishing kidney injury from diabetes versus coxsackievirus B4 (CVB4) exposure.
  • To understand how hyperglycemia and viral exposure, alone and combined, alter kidney profiles.
  • To develop methods for differentiating causes of kidney injury.

Main Methods:

  • Utilized non-obese diabetic (NOD) mice susceptible to type 1 diabetes (T1D) and CVB4-mediated kidney injury.
  • Analyzed molecular biomarkers, kidney function (urinary albumin creatinine ratio, serum creatinine), and physical measurements (kidney and body weight).
  • Applied unbiased methods to separate injury groups based on combined molecular and phenotypic data.

Main Results:

  • No significant changes in overall kidney function were observed.
  • Molecular biomarkers showed significant, but unpredictable, up- and downregulation in response to T1D and CVB4 exposure.
  • Combining molecular biomarkers with functional and phenotypic data enabled unbiased separation of injury groups.

Conclusions:

  • Unique kidney injury profiles are identifiable and associated with specific causes.
  • This approach can help differentiate causes of kidney injury in complex cases.
  • Further research can leverage these profiles for improved diagnosis and understanding of kidney disease etiology.

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