Proteomics profiling reveals lipid metabolism abnormalities during oogenesis in unexplained recurrent pregnancy loss.

Autor:	Liu K; Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.; Biochemistry and Molecular Biology Department of University of the Basque Country (UPV/EHU), Leioa, Spain., Xu X; Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China., Sun L; Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China., Li H; Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China., Jin Y; Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China., Ma X; Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China., Shen B; Institutes for Systems Genetics, West China Hospital Sichuan University, Chengdu, China., Martin C; Biochemistry and Molecular Biology Department of University of the Basque Country (UPV/EHU), Leioa, Spain.; Department of Molecular Biophysics, Biofisika Institute (UPV/EHU, CSIC), Leioa, Spain.
Jazyk:	angličtina
Zdroj:	Frontiers in immunology [Front Immunol] 2024 Aug 08; Vol. 15, pp. 1397633. Date of Electronic Publication: 2024 Aug 08 (Print Publication: 2024).
DOI:	10.3389/fimmu.2024.1397633
Abstrakt:	Background: Unexplained recurrent pregnancy loss (URPL) is a clinical dilemma in reproductive fields. Its diagnosis is mainly exclusionary after extensive clinical examination, and some of the patients may still face the risk of miscarriage. Methods: We analyzed follicular fluid (FF) from in vitro fertilization (IVF) in eight patients with URPL without endocrine abnormalities or verifiable causes of abortion and eight secondary infertility controls with no history of pregnancy loss who had experienced at least one normal pregnancy and delivery by direct data-independent acquisition (dDIA) quantitative proteomics to identify differentially expressed proteins (DEPs). In this study, bioinformatics analysis was performed using online software including g:profiler, String, and ToppGene. Cytoscape was used to construct the protein-protein interaction (PPI) network, and ELISA was used for validation. Results: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the DEPs are involved in the biological processes (BP) of complement and coagulation cascades. Apolipoproteins (APOs) are key proteins in the PPI network. ELISA confirmed that APOB was low-expressed in both the FF and peripheral blood of URPL patients. Conclusion: Dysregulation of the immune network intersecting coagulation and inflammatory response is an essential feature of URPL, and this disequilibrium exists as early as the oogenesis stage. Therefore, earlier intervention is necessary to prevent the development of URPL. Moreover, aberrant lipoprotein regulation appears to be a key factor contributing to URPL. The mechanism by which these factors are involved in the complement and coagulation cascade pathways remains to be further investigated, which also provides new candidate targets for URPL treatment. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Liu, Xu, Sun, Li, Jin, Ma, Shen and Martin.)
Databáze:	MEDLINE
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