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

dc.contributor.authorWalter, Debra L.en
dc.contributor.authorThuma, Jean R.en
dc.contributor.authorMalgor, Ramiroen
dc.contributor.authorSchwartz, Frank L.en
dc.contributor.authorMcCall, Kelly D.en
dc.contributor.authorCoschigano, Karen T.en
dc.date.accessioned2021-11-29T13:20:54Zen
dc.date.available2021-11-29T13:20:54Zen
dc.date.issued2021-11-15en
dc.date.updated2021-11-25T15:59:43Zen
dc.description.abstractDespite 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.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWalter, D.L.; Thuma, J.R.; Malgor, R.; Schwartz, F.L.; McCall, K.D.; Coschigano, K.T. Consequences of Both Coxsackievirus B4 and Type 1 Diabetes on Female Non-Obese Diabetic Mouse Kidneys. Microorganisms 2021, 9, 2357.en
dc.identifier.doihttps://doi.org/10.3390/microorganisms9112357en
dc.identifier.urihttp://hdl.handle.net/10919/106754en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectkidney injury profilingen
dc.subjectcoxsackievirus and type 1 diabetesen
dc.subjectrisk factors for kidney diseaseen
dc.titleConsequences of Both Coxsackievirus B4 and Type 1 Diabetes on Female Non-Obese Diabetic Mouse Kidneysen
dc.title.serialMicroorganismsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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