Evidence map›Paper›PMID 41782696›Full record

ArticleInternational journal of reproductive biomedicine2025

Integrative RNA-seq analysis reveals immune-related hub genes

Kosar Babaei, Saman Morovat, Hossein Mozdarani, Misa Naghdipour Mirsadeghi, Seyed Reza Mirhafez, Ebrahim Mirzajani, Mohsen Aziminezhad, Ali Akbar Samadani

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Article in International journal of reproductive biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kosar BabaeiNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Saman MorovatDepartment of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Hossein MozdaraniDepartment of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Misa Naghdipour MirsadeghiDepartment of Gynecology, School of Medicine, Reproductive Health Research Center, Alzahra Hospital, Guilan University of Medical Sciences, Rasht, Iran.
Seyed Reza MirhafezNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Ebrahim MirzajaniDepartment of Biochemistry and Biophysics, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Mohsen AziminezhadNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Ali Akbar SamadaniGuilan Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recurrent spontaneous abortion (RSA) impacts 1-5% of women of reproductive age, constituting a significant health issue. Despite advances in our understanding of RSA, the fundamental molecular mechanisms remain inadequately defined. Examining differentially expressed genes (DEGs) in RSA may yield essential insights into the disease's pathophysiology and enable the identification of novel ameliorative targets. Objective: This study aimed to identify key DEGs, elucidate their interaction networks, and uncover potential hub regulators across decidua and villus tissues in RSA vs. control samples. Materials and Methods: In this bioinformatics study, we analyzed RNA-seq datasets GSE113790 (decidua) and GSE121950 (villus) from the gene expression omnibus database using illumina-aligned count matrices. Rigorous batch correction was performed using surrogate variable analysis, followed by differential expression analysis in DESeq2 with thresholds of |log₂FC| Results: After correction and integration, 114 protein-coding DEGs (30 upregulated and 84 downregulated) were identified. The protein-protein interaction network (101 nodes, 116 edges) was significantly enriched over random expectation (p Conclusion: Our integrative approach delineates immune-centric molecular dysfunction in RSA and highlights

Indexed as

FOSBGene expression profilingNR4A1.Protein interaction mappingSpontaneous abortion

Identifiers

PMID41782696
PMCPMC12883014

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