Evidence mapPaperPMID 39449337Full record

ArticleCurrent medicinal chemistry2025

Distribution of microRNA Counts Across Human Chromosomes.

Hsiuying Wang

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Article in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Hsiuying WangInstitute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, 300093, Taiwan.

Funding

Ministry of Science and Technology, Taiwan 111-2118-M-A49-001-MY2
6 · The paper itself

Abstract

introductionmicroRNAs (miRNAs) are a class of non-coding RNAs that play important roles in gene regulation. miRNAs are transcribed from DNA sequences into primary miRNAs and then processed into precursor miRNAs and mature miRNAs. miRNA gene counts in chromosomes for different species have been studied.

methodsCertain chromosomes have higher numbers of miRNA genes in all species, such as the X chromosome, while the Y chromosome has the fewest or no miRNA genes. miRNA counts in different chromosomes might have a positive correlation with coding gene counts in many species. In this study, a regression model was used to find the relationship between the miRNA count and the coding gene count across human chromosomes, and miRNA counts for 23 human chromosomes were predicted based on this regression model. In addition, the chromosome locations for the miRNA biomarkers of major depression, diabetes, Parkinson's disease, and COVID-19 are discussed.

resultsThe results reveal that miRNA biomarkers of these diseases are located in various chromosomes. The dispersion of miRNA locations across different chromosomes might explain the complication of the pathology of these diseases. Moreover, diabetes and COVID-19 have the largest number of miRNA biomarkers from Chromosome X.

conclusionAs Chromosome X is a sex chromosome, this phenomenon may explain the gender difference in the prevalence or severity of diabetes and COVID-19. The significant gender difference in the prevalence or severity of diabetes and COVID-19 might be due to the regulation function of their miRNA biomarkers from Chromosome X.

Indexed as

Chromosomes, HumanMicroRNAsChromosomes, Human, XCOVID-19Diabetes MellitusFemaleHumansMajor Depressive DisorderMaleParkinson DiseaseMicroRNAsBiomarkerschromosomesCOVID-19.genesmicroRNAregression model

Identifiers

PMID39449337

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.