{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yang Y"],"funding":["he Joint funds for the innovation of science and technology, Fujian province","Major Scientific Research Program for Young and Middle-aged Health Professionals of Fujian Province, China","Science and technology innovation start‐up fund, Fujian Maternity and Child health Hospital","Natural Science Foundation of Fujian Province, China","Key Project on the Integration of Industry, Education and Research Collaborative Innovation of Fujian Province","Key Project on Science and Technology Program of Fujian Health Commission","Science and technology innovation start-up fund, Fujian Maternity and Child health Hospital"],"pagination":["16982"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11266624"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["Increasing evidence suggests that mitophagy is crucially involved in the progression of polycystic ovary syndrome (PCOS). Exploration of PCOS-specific biomarkers related to mitophagy is expected to provide critical insights into disease pathogenesis. In this study, we employed bioinformatic analyses and machine learning algorithms to determine novel biomarkers for PCOS that may be tied with mitophagy. A grand total of 12 differential expressed mitophagy-related genes (DE-MRGs) associated with PCOS were identified. TOMM5 and MAP1LC3A among the 12 DE-MRGs were recognized as potential marker genes by LASSO, RF and SVM-RFE algorithms. The area under the ROC curve (AUROC) of MAP1LC3A were all greater than 0.8 both in the training set and validation sets. The CIBERSORT analysis indicated a poten"],"journal":["Scientific reports"],"pubmed_title":["Identification of MAP1LC3A as a promising mitophagy-related gene in polycystic ovary syndrome."],"pmcid":["PMC11266624"],"funding_grant_id":["2021YZ034011","YCXY 23‐03","2022ZQNZD010","2021ZD01002","2023J05232","YCXY 23-03","2023J011229","2020Y9137"],"pubmed_authors":["Yang Y","Liao X","Jiang W","Zheng B","Chen X","Zhou Y","Sun Y"],"additional_accession":[]},"is_claimable":false,"name":"Identification of MAP1LC3A as a promising mitophagy-related gene in polycystic ovary syndrome.","description":"Increasing evidence suggests that mitophagy is crucially involved in the progression of polycystic ovary syndrome (PCOS). Exploration of PCOS-specific biomarkers related to mitophagy is expected to provide critical insights into disease pathogenesis. In this study, we employed bioinformatic analyses and machine learning algorithms to determine novel biomarkers for PCOS that may be tied with mitophagy. A grand total of 12 differential expressed mitophagy-related genes (DE-MRGs) associated with PCOS were identified. TOMM5 and MAP1LC3A among the 12 DE-MRGs were recognized as potential marker genes by LASSO, RF and SVM-RFE algorithms. The area under the ROC curve (AUROC) of MAP1LC3A were all greater than 0.8 both in the training set and validation sets. The CIBERSORT analysis indicated a poten","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2026-05-26T14:04:29.795Z","creation":"2025-04-19T13:12:53.409Z"},"accession":"S-EPMC11266624","cross_references":{"pubmed":["39043888"],"doi":["10.1038/s41598-024-67969-9"]}}