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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Related Experiment Video

Updated: Jun 23, 2025

Quantitative Real-Time Polymerase Chain Reaction Evaluation of MicroRNA Expression in Kidney and Serum of Mice with Age-Dependent Renal Impairment
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Longitudinal Associations Between MicroRNAs and Weight in the Diabetes Prevention Program.

Elena Flowers, Benjamin Stroebel, Xingyue Gong

    Biorxiv : the Preprint Server for Biology
    |June 19, 2024
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    Summary
    This summary is machine-generated.

    Circulating microRNAs show longitudinal associations with weight changes. Specific microRNAs may predict weight loss and offer insights into obesity

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    Area of Science:

    • Biomarkers and Disease Etiology
    • Genetics and Epigenetics in Metabolic Health

    Background:

    • Cross-sectional studies link circulating microRNAs to overweight and obesity.
    • Limited data exists on microRNAs as prodromal risk indicators versus disease markers.

    Purpose of the Study:

    • To assess the longitudinal relationships between circulating microRNAs and body weight.
    • To investigate microRNA associations with weight changes over time in a clinical trial setting.

    Main Methods:

    • Analysis of plasma microRNAs from 150 participants in the Diabetes Prevention Program trial.
    • Utilized generalized linear mixed models and logistic regression for longitudinal and 2-year weight change analyses.
    • MicroRNA quantification performed using a Fireplex Assay.

    Main Results:

    • Seven microRNAs (miR-126, miR-15a, miR-192, miR-23a, miR-27a, miR-197, miR-320a) were significantly associated with weight over 2 years.
    • Specific baseline microRNAs (let-7f, miR-17, miR-320c) predicted significant weight loss after 2 years.

    Conclusions:

    • This study provides evidence for longitudinal associations between circulating microRNAs and weight.
    • MicroRNAs may reflect genetic and behavioral influences, offering insights into obesity etiology.
    • Further research is needed to validate microRNA biomarkers for weight management and disease prevention.