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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.
Abstract:
Despite the 2019 Executive Order on Advancing American Kidney Health Initiative, kidney disease has moved up in rank from the 9th to the 8th leading cause of death in the United States. A recent push in the field of nephrology has been to identify molecular markers and/or molecular profiles involved in kidney disease process or injury that can help identify the cause of injury and predict patient outcomes. While these studies have had moderate success, they have not yet considered that many of the health conditions that cause kidney disease (diabetes, hypertension, etc.) can also be caused by environmental factors (such as viruses), which in and of themselves can cause kidney disease. Thus, the goal of this study was to identify molecular and phenotypic profiles that can differentiate kidney injury caused by diabetes (a health condition resulting in kidney disease) and coxsackievirus B4 (CVB4) exposure (which can cause diabetes and/or kidney disease), both alone and together. Non-obese diabetic (NOD) mice were used for this study due to their susceptibility to both type 1 diabetes (T1D)- and CVB4-mediated kidney injury, in order to glean a better understanding of how hyperglycemia and viral exposure, when occurring on their own and in combination, may alter the kidneys' molecular and phenotypic profiles. While no changes in kidney function were observed, molecular biomarkers of kidney injury were significantly up- and downregulated based on T1D and CVB4 exposure, both alone and together, but not in a predictable pattern. By combining individual biomarkers with function and phenotypic measurements (i.e., urinary albumin creatinine ratio, serum creatinine, kidney weight, and body weight), we were able to perform an unbiased separation of injury group based on the type of injury. This study provides evidence that unique kidney injury profiles within a kidney disease health condition are identifiable, and will help us to identify the causes of kidney injury in the future.
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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