ArticleIET systems biology
Exploring and Validating the Molecular Mechanisms Linking Fatty Acid Metabolism and Sarcopenia.
Article in IET systems biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Exploring and Validating the Molecular Mechanisms Linking Fatty Acid Metabolism and Sarcopenia.IET systems biologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Sarcopenia is an ageing-related disease characterised primarily by skeletal muscle functional decline. Despite of fatty acid metabolism (FAM) affecting oxidative stress within muscle tissue, the key roles of critical genes linking FAM and sarcopenia are unclear. The GSE8479, GSE1428, and GSE136344 datasets were downloaded and intersected for identifying FAM-related differentially expressed genes (FAMRDEGs) screened by enrichment analysis, LASSO regression, and Support Vector Machine (SVM) analyses. Cytoscape software was used for visualising mRNA-transcription factor (TF) and mRNA-miRNA networks. In addition, ROC curves of key genes were plotted to evaluate their diagnostic significance. A Fatty Acid Metabolism Score (FAM-Score) was conducted and immune cell infiltration analysis was conducted. The qPCR assay was performed to analyse the levels of screened critical genes. A total of 109 FAMRDEGs were obtained, and the LASSO regression and SVM models screened 14 of these genes. The network included 7 key genes with 54 miRNAs and 9 hub genes with 102 TFs. There were 6 types of immune cell infiltration showing statistical significance. The FABP3 (P < 0.001), PECR (P < 0.01), and OPN3 (P < 0.001) mRNA expression markedly increased in sarcopenia versus control groups. In contrast, sarcopenia group showed remarkably reduced PCTP (P < 0.001), SREBF2 (P < 0.001), and PPARGC1A (P < 0.05) levels. This study provides reference indicators for FAM-associated auxiliary biomarkers of sarcopenia and preliminarily establishes effective machine learning models for further mechanistic exploration.
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Registered trials
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 OpenQuestion graph.