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

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

BackgroundAntiphospholipid syndrome (APS) is a group of clinical syndromes of thrombosis or adverse pregnancy outcomes caused by antiphospholipid antibodies, which increase the incidence of in vitro fertilization failure in patients with infertility. However, the common mechanism of repeated implant...

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Bibliographic Details
Main Authors: Manli Zhang, Ting Ge, Yunian Zhang, Xiaolin La
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Immunology
Subjects:
repeated implantation failure
anti-phospholipid syndrome
bioinformatics analyses
nomogram
immune infiltration
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1126103/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1126103/full

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