Taha Wafaa, Anachad Oumaima, Assioui Houssam, Saadoune Chaimaa, Taheri Asmae, El Messal Mariame, Bennis Faiza, Chegdani Fatima
Laboratory of Immunology and Biodiversity, Faculty of Sciences Aïn Chock, University of Hassan II Casablanca, B.P 5366, Maarif, Casablanca 20100, Morocco.
CNS Neurol Disord Drug Targets. 2025 May 12. doi: 10.2174/0118715273371682250421053159.
Prenatal depression is a prevalent mental disorder that affects women during pregnancy. Alterations in the maternal microbiota have been linked to changes in the composition of the intestinal microbiota of foetus, which can have long-term consequences for the child's health. The gut-brain axis, which involves bidirectional communication between the gut and the brain, is believed to play a role in the development of depression.
This study aimed to gather evidence for both the influence of microbiota and immunity on depression during pregnancy, using integrated bioinformatics analysis. A set of 219 differentially expressed genes (DEGs) associated with prenatal depression was established to correlate with gut inflammation. DEG data were collected from different bibliographic sources with fold change >1 and adjusted p-value <0.05. Moreover, 205 DEGs were annotated using String software.
The protein-protein interaction networks of DEGs obtained were determined by 16 main genes: IL6, IFNG, IL1B, IL10, CD4, CXCL8, CCL2, IL2, CCL5, IL4, TGFB1, IL13, IL17A, TLR4, CRP, and BDNF. The enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways was conducted using SRplot and clusterProfiler. They were significantly involved in prenatal depression and associated with inflammation and gut microbiota.
This study identified core genes that contribute to the understanding of the molecular mechanisms involved in the development of prenatal depression, which may serve as targets for early diagnosis, prevention, and treatment.
产前抑郁是一种在孕期影响女性的常见精神障碍。母体微生物群的改变与胎儿肠道微生物群组成的变化有关，这可能对儿童健康产生长期影响。肠-脑轴涉及肠道与大脑之间的双向通信，被认为在抑郁症的发展中起作用。
本研究旨在通过综合生物信息学分析收集微生物群和免疫对孕期抑郁影响的证据。建立了一组与产前抑郁相关的219个差异表达基因（DEG），以与肠道炎症相关联。从不同文献来源收集DEG数据，其变化倍数>1且校正p值<0.05。此外，使用String软件对205个DEG进行注释。
获得的DEG的蛋白质-蛋白质相互作用网络由16个主要基因决定：IL6、IFNG、IL1B、IL10、CD4、CXCL8、CCL2、IL2、CCL5、IL4、TGFB1、IL13、IL17A、TLR4、CRP和BDNF。使用SRplot和clusterProfiler对基因本体（GO）和京都基因与基因组百科全书（KEGG）通路进行富集分析。它们显著参与产前抑郁，并与炎症和肠道微生物群相关。
本研究确定了有助于理解产前抑郁发展所涉及分子机制的核心基因，这些基因可作为早期诊断、预防和治疗目标。
