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Full-Text Articles in Diseases

The Long Non-Coding Rna Malat1 Regulates Inflammatory Cytokine Production In Chronic Diabetic Complications, Andrew D. Gordon Sep 2016

The Long Non-Coding Rna Malat1 Regulates Inflammatory Cytokine Production In Chronic Diabetic Complications, Andrew D. Gordon

Electronic Thesis and Dissertation Repository

We examined the role of MALAT1, a highly conserved nuclear lncRNA, in chronic diabetic complications affecting the heart and kidneys, specifically with respect to inflammatory cytokine production. Endothelial cells, exposed to various glucose levels, and MALAT1 knockout mice and controls, with or without streptozotocin-induced diabetes were examined. Endothelial cells cultured with high glucose, and renal and cardiac tissue from diabetic mice showed increased inflammatory cytokine (eg. IL-6, IL1β, TNFα) production along with transient MALAT1 upregulation. This was confirmed by both transcript and protein analyses, and such changes were prevented in the MALAT1 knockout diabetic animals. In the malat1 knockout animals, …


Role Of Serum Biomarkers In Early Detection Of Diabetic Cardiomyopathy In The West Virginian Population, Adam Shaver, Alexandra Nichols, Ellen A. Thompson, Amrita Mallick, Nandini Manne, Shanmuga Sundaram, Joseph I. Shapiro Md, Komal Sodhi Feb 2016

Role Of Serum Biomarkers In Early Detection Of Diabetic Cardiomyopathy In The West Virginian Population, Adam Shaver, Alexandra Nichols, Ellen A. Thompson, Amrita Mallick, Nandini Manne, Shanmuga Sundaram, Joseph I. Shapiro Md, Komal Sodhi

Biochemistry and Microbiology

Objectives: Diabetic cardiomyopathy (DCM) is an established complication of diabetes mellitus. In West Virginia, the especially high incidence of diabetes and heart failure validate the necessity of developing new strategies for earlier detection of DCM. Since most DCM patients remain asymptomatic until the later stages of the disease when the fibrotic complications become irreversible, we aimed to explore biomarkers that can identify early-stage DCM.

Methods: The patients were grouped into 4 categories based on clinical diabetic and cardiac parameters: Control, Diabetes (DM), Diastolic dysfunction (DD), and Diabetes with diastolic dysfunction (DM+DD), the last group being the preclinical DCM group.

Results: …


Lipidomic Risk Score Independently And Cost-Effectively Predicts Risk Of Future Type 2 Diabetes: Results From Diverse Cohorts, Manju Mamtani, Hemant Kulkarni, Gerard Wong, Jacquelyn M. Weir, Christopher K. Barlow, Thomas D. Dyer, Laura Almasy, Michael C. Mahaney, Anthony G. Comuzzie, David C. Glahn, Sarah Williams-Blangero, Ravindranath Duggirala, John Blangero, Joanne E. Curran Jan 2016

Lipidomic Risk Score Independently And Cost-Effectively Predicts Risk Of Future Type 2 Diabetes: Results From Diverse Cohorts, Manju Mamtani, Hemant Kulkarni, Gerard Wong, Jacquelyn M. Weir, Christopher K. Barlow, Thomas D. Dyer, Laura Almasy, Michael C. Mahaney, Anthony G. Comuzzie, David C. Glahn, Sarah Williams-Blangero, Ravindranath Duggirala, John Blangero, Joanne E. Curran

School of Medicine Publications and Presentations

Background: Detection of type 2 diabetes (T2D) is routinely based on the presence of dysglycemia. Although disturbed lipid metabolism is a hallmark of T2D, the potential of plasma lipidomics as a biomarker of future T2D is unknown. Our objective was to develop and validate a plasma lipidomic risk score (LRS) as a biomarker of future type 2 diabetes and to evaluate its cost-effectiveness for T2D screening.

Methods: Plasma LRS, based on significantly associated lipid species from an array of 319 lipid species, was developed in a cohort of initially T2D-free individuals from the San Antonio Family Heart Study (SAFHS). The …