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Effect of High-Fat Diet on Immature Female Mice and Messenger and Noncoding RNA Expression Profiling in Ovary and White Adipose Tissue. | LitMetric

AI Article Synopsis

  • * A study using a high-fat diet (HFD) model in immature female mice revealed notable changes in gene expression in both ovaries and white adipose tissue, with hundreds of differentially expressed mRNAs and lncRNAs identified.
  • * The findings highlight crucial differences in the molecular profiles of obese versus control groups, which could help understand how diet affects female reproductive health and metabolic issues, potentially leading to new biomarkers for these risks.

Article Abstract

Obesity is a chronic multifactorial disease prevalent in many areas of the world and is a major cause of morbidity and mortality. In women, obesity increases the risks of both metabolic and reproductive diseases, such as diabetes and infertility. The mechanisms underlying these effects, especially in young women, are largely unknown. To explore these mechanisms, we established a high-fat diet (HFD) model of obesity in immature female mice. Microarray analysis of gene expression in ovaries and white adipose tissue identified a large number of differentially expressed genes (>1.3-fold change) in both tissues. In ovaries of the HFD group, there were 208 differentially expressed messenger RNAs (mRNAs), including 98 upregulated and 110 downregulated, and 295 differentially expressed lncRNAs (long non coding RNAs), including 63 upregulated and 232 downregulated. In white adipose tissue, there were 625 differentially expressed mRNAs, including 220 upregulated and 605 downregulated in the HFD group, and 1595 differentially expressed lncRNAs, including 1320 and 275 downregulated in the HFD group. Our results reveal significant differences between the transcriptomes of the HFD and control groups in both ovaries and white adipose tissue that provide clues to the molecular mechanisms of diet-induced female reproductive dysfunction and metabolic disorders, as well as biomarkers of risk for these disorders.

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Source
http://dx.doi.org/10.1177/1933719118765966DOI Listing

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