SynthesisReproductive sciences (Thousand Oaks, Calif.)2023
Comparative Meta-analysis of Adipose Tissue Transcriptomics Data in PCOS Patients and Healthy Control Women.
Synthesis in Reproductive sciences (Thousand Oaks, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Comparative meta-analysis of transcriptomic studies in spinal muscular atrophy: comparison between tissues and mouse models.BMC medical genomics · 2024Pooled it
- Article
- Identification of molecular characteristics in polycystic ovary syndrome using single-cell and transcriptome analysis.Scientific reports · 2025Article
- Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology.Journal of ovarian research · 2024Article
- Induced Pluripotent Stem Cells as a Possible Approach for Exploring the Pathophysiology of Polycystic Ovary Syndrome (PCOS).Stem cell reviews and reports · 2024Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polycystic ovary syndrome (PCOS) is a common condition in reproductive-aged women that induces reproductive and metabolic derangements. Women with PCOS seem to have disturbances in lipid metabolism in the adipose tissue. Nevertheless, gene expression in adipose tissue of PCOS women and its relation to other disturbances have been fragmentarily investigated. We utilized microarray data to identify the most important up- and down-regulated candidate genes in adipose tissue of PCOS women in contrast to healthy women using the meta-analysis technique. Microarray data produced from three independent experiments (n = 3) conducted on adipose tissue in women with PCOS were retrieved from ArrayExpress. Then, the datasets were merged using the metaSeq package in Rstudio and differentially expressed genes (DEGs) were selected in the studies. The integrative bioinformatics analyses of candidate genes were performed by gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and protein-protein interaction (PPI) network construction. Of these, 12 up-regulated genes and 12 down-regulated genes were identified and assessed as the most highly up-regulated and down-regulated genes in adipose tissue of women with PCOS. These DEGs that were annotated by KEGG analysis were mainly involved in PI3K-Akt, MAPK, Rap1, and Ras signaling pathways, and pathways in cancer such as hepatocellular carcinoma and gastric cancer, as well as metabolic pathways, and brain disorder pathways such as Alzheimer's disease and Huntington disease pathways. In the PPI networks, PRDM10, FGFR2, IGF1R, and FLT1 were the key nodes in the up-regulated networks, while the NDUFAB1 and NME2 proteins were key in the down-regulated networks. Overall, these findings provide insight into the gene expression in adipose tissue of PCOS women and its relation to other disturbances.
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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.