214 related articles for article (PubMed ID: 37261354)
1. Shared diagnostic genes and potential mechanism between PCOS and recurrent implantation failure revealed by integrated transcriptomic analysis and machine learning.
Chen W; Yang Q; Hu L; Wang M; Yang Z; Zeng X; Sun Y
Front Immunol; 2023; 14():1175384. PubMed ID: 37261354
[TBL] [Abstract][Full Text] [Related]
2. Exploration of molecular features of PCOS with different androgen levels and immune-related prognostic biomarkers associated with implantation failure.
Gao Q; Ma C; Meng S; Wang G; Xing Q; Xu Y; He X; Wang T; Cao Y
Front Endocrinol (Lausanne); 2022; 13():946504. PubMed ID: 36060967
[TBL] [Abstract][Full Text] [Related]
3. Deciphering the endometrial immune landscape of RIF during the window of implantation from cellular senescence by integrated bioinformatics analysis and machine learning.
Zhao X; Zhao Y; Jiang Y; Zhang Q
Front Immunol; 2022; 13():952708. PubMed ID: 36131919
[TBL] [Abstract][Full Text] [Related]
4. Screening of potential biomarkers for polycystic ovary syndrome and identification of expression and immune characteristics.
Liu S; Zhao X; Meng Q; Li B
PLoS One; 2023; 18(10):e0293447. PubMed ID: 37883387
[TBL] [Abstract][Full Text] [Related]
5. 3 CpG Methylation Biomarkers for the Diagnosis of Polycystic Ovary Syndrome (PCOS) in Blood Samples.
Xie L; Jiang X; Chen Y; Huang C; Chen Y; Liu G; Sun W; Zeng L; Lu R
Comb Chem High Throughput Screen; 2022; 25(8):1304-1313. PubMed ID: 34080962
[TBL] [Abstract][Full Text] [Related]
6. A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs.
Wang M; An K; Huang J; Mprah R; Ding H
Front Endocrinol (Lausanne); 2023; 14():1193992. PubMed ID: 37745699
[TBL] [Abstract][Full Text] [Related]
7. The Endometrial Transcriptome of Metabolic and Inflammatory Pathways During the Window of Implantation Is Deranged in Infertile Obese Polycystic Ovarian Syndrome Women.
Salamun V; Rizzo M; Lovrecic L; Hocevar K; Papler Burnik T; Janez A; Jensterle M; Vrtacnik Bokal E; Peterlin B; Maver A
Metab Syndr Relat Disord; 2022 Sep; 20(7):384-394. PubMed ID: 35834645
[No Abstract] [Full Text] [Related]
8. AI-algorithm training and validation for identification of endometrial CD138+ cells in infertility-associated conditions; polycystic ovary syndrome (PCOS) and recurrent implantation failure (RIF).
Lee S; Arffman RK; Komsi EK; Lindgren O; Kemppainen JA; Metsola H; Rossi HR; Ahtikoski A; Kask K; Saare M; Salumets A; Piltonen TT
J Pathol Inform; 2024 Dec; 15():100380. PubMed ID: 38827567
[TBL] [Abstract][Full Text] [Related]
9. Transcriptomic landscape of granulosa cells and peripheral blood mononuclear cells in women with PCOS compared to young poor responders and women with normal response.
Cozzolino M; Herraiz S; Titus S; Roberts L; Romeu M; Peinado I; Scott RT; Pellicer A; Seli E
Hum Reprod; 2022 May; 37(6):1274-1286. PubMed ID: 35451009
[TBL] [Abstract][Full Text] [Related]
10. Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis.
Liu X; Zhang J; Wang X; Zhang Z
Eur J Med Res; 2024 Jan; 29(1):3. PubMed ID: 38167332
[TBL] [Abstract][Full Text] [Related]
11. Identification of Potential Biomarkers of Polycystic Ovary Syndrome via Integrated Bioinformatics Analysis.
Yang D; Li N; Ma A; Dai F; Zheng Y; Hu X; Wang Y; Xian S; Zhang L; Yuan M; Liu S; Deng Z; Yang Y; Cheng Y
Reprod Sci; 2021 May; 28(5):1353-1361. PubMed ID: 33067753
[TBL] [Abstract][Full Text] [Related]
12. Whole Genome Transcriptomic Analysis of Ovary Granulosa Cells Revealed an Anti-Apoptosis Regulatory Gene DLGAP5 in Polycystic Ovary Syndrome.
Deng Y; Li H; Song Y; Cen J; Zhang Y; Sui Y; Cui D; Li TC; Xu Y; Wang CC; Chung PWJ; Tang T
Front Endocrinol (Lausanne); 2022; 13():781149. PubMed ID: 35370991
[TBL] [Abstract][Full Text] [Related]
13. The peripheral blood transcriptome identifies dysregulation of inflammatory response genes in polycystic ovary syndrome.
Su NJ; Ma J; Feng DF; Zhou S; Li ZT; Zhou WP; Deng H; Liang JY; Yang XH; Zhang YM; Liu FH; Zhang L
Gynecol Endocrinol; 2018 Jul; 34(7):584-588. PubMed ID: 29262729
[TBL] [Abstract][Full Text] [Related]
14. Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.
Huang J; Huang B; Kong Y; Yang Y; Tian C; Chen L; Liao Y; Ma L
Front Endocrinol (Lausanne); 2022; 13():1032064. PubMed ID: 36523600
[TBL] [Abstract][Full Text] [Related]
15. Pathway and network-based analysis of genome-wide association studies and RT-PCR validation in polycystic ovary syndrome.
Shen H; Liang Z; Zheng S; Li X
Int J Mol Med; 2017 Nov; 40(5):1385-1396. PubMed ID: 28949383
[TBL] [Abstract][Full Text] [Related]
16. Uterine fluid microRNAs are dysregulated in women with recurrent implantation failure.
von Grothusen C; Frisendahl C; Modhukur V; Lalitkumar PG; Peters M; Faridani OR; Salumets A; Boggavarapu NR; Gemzell-Danielsson K
Hum Reprod; 2022 Apr; 37(4):734-746. PubMed ID: 35147192
[TBL] [Abstract][Full Text] [Related]
17. Identification of MARK2, CCDC71, GATA2, and KLRC3 as candidate diagnostic genes and potential therapeutic targets for repeated implantation failure with antiphospholipid syndrome by integrated bioinformatics analysis and machine learning.
Zhang M; Ge T; Zhang Y; La X
Front Immunol; 2023; 14():1126103. PubMed ID: 37901230
[TBL] [Abstract][Full Text] [Related]
18. Analysis of weighted gene co-expression networks and clinical validation identify hub genes and immune cell infiltration in the endometrial cells of patients with recurrent implantation failure.
Liu Z; Lai S; Qu Q; Liu X; Zhang W; Zhao D; He S; Sun Y; Bao H
Front Genet; 2024; 15():1292757. PubMed ID: 38645487
[TBL] [Abstract][Full Text] [Related]
19. Identification and validation of immune cells and hub genes alterations in recurrent implantation failure: A GEO data mining study.
Yu L; Wang L; Wang L; Yan S; Chen S; Xu Q; Su D; Wang X
Front Genet; 2022; 13():1094978. PubMed ID: 36699469
[No Abstract] [Full Text] [Related]
20. Establishment and Analysis of an Artificial Neural Network Model for Early Detection of Polycystic Ovary Syndrome Using Machine Learning Techniques.
Wu Y; Xiao Q; Wang S; Xu H; Fang Y
J Inflamm Res; 2023; 16():5667-5676. PubMed ID: 38050562
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]