Bioinformatically deciphering immune cell infiltration and signature genes in pelvic organ prolapse.

Int Urogynecol J

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, No.389 Xincun Road, Shanghai, 200065, People's Republic of China.

Published: May 2023


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Introduction And Hypothesis: The study is aimed at bioinformatically deciphering immune cell infiltration, signature genes, and their correlations in POP.

Methods: Three microarray datasets were included. Matrixes representing the uterosacral ligament were merged as a test matrix and the others representing vaginal tissues were merged as a validation matrix. The single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm was performed to evaluate immune cell infiltration. Correlations among differential immune cells were revealed by Spearman's rank correlation. Differentially expressed genes (DEGs) were screened by both "Batch correction" and "RobustRankAggreg" methods. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes were conducted for functional analysis. Hub genes were identified through cytoHubba of Cytoscape, and further validated by a validation matrix and clinical samples as signature genes. Correlations of differential immune cells with signature genes were analyzed by Spearman's rank correlation.

Results: Five differential immune cells (macrophages, monocytes, regulatory T cell [Treg], type 1 T cell [Th1], and natural killer T cells [NKT]) were identified and eight pairs of immune cells had significant correlations. Screened 230 DEGs were extracellular matrix (ECM) and immune related. Eleven hub genes were initially identified and five of them (LOX, IL-6, SDC1, ICAM1, and CD38) were validated as signature genes. Significant correlations of differential immune cells with signature genes were shown in twelve pairs, especially Th1-IL6, NKT-IL6, Th1-ICAM1, macrophage-IL6, and macrophage-LOX pairs.

Conclusions: Pelvic organ prolapse could be considered immune related. Significantly infiltrated immune cells may contribute to the development of POP through close involvement with ECM- and immune-related signature genes.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00192-022-05378-0DOI Listing

Publication Analysis

Top Keywords

signature genes
28
immune cells
24
differential immune
16
immune cell
12
cell infiltration
12
genes correlations
12
correlations differential
12
immune
11
genes
11
bioinformatically deciphering
8

Similar Publications

Serous endometrial carcinoma (SEC) is one of the most lethal types of uterine cancer, responsible for about 40% of all endometrial cancer-related deaths. Cell state dynamics during the early stages of SEC remain largely unknown, thereby hindering early detection and treatment of this disease. Here, we provide a comprehensive census of cell types and their states for normal, predysplastic, and dysplastic endometrium in a genetic mouse model of SEC.

View Article and Find Full Text PDF

Objective: The key molecular events signifying the -induced gastric carcinogenesis process are largely unknown.

Methods: Bulk tissue-proteomics profiling were leveraged across multi-stage gastric lesions from Linqu ( = 166) and Beijing sets ( = 99) and single-cell transcriptomic profiling ( = 18) to decipher key molecular signatures of -related gastric lesion progression and gastric cancer (GC) development. The association of key proteins association with gastric lesion progression and GC development were prospectively studied building on follow-up of the Linqu set and UK Biobank ( = 48,529).

View Article and Find Full Text PDF

Background: Intervertebral disc degeneration (IDD) is a prevalent spinal condition frequently associated with pain and motor impairment, imposing a substantial burden on quality of life. Despite extensive investigations into the genetic predisposition to IDD, the precise pathogenic genes and molecular pathways involved remain inadequately characterized, underscoring the need for continued research to clarify its genetic underpinnings.

Methods: This study leveraged IDD data from the FinnGen R12 cohort and integrated expression quantitative trait loci data across 49 tissues from the Genotype-Tissue Expression version 8 database to perform a cross-tissue transcriptome-wide association study (TWAS).

View Article and Find Full Text PDF

Identification of a 3-gene signature predicting 28-day mortality for sepsis.

Medicine (Baltimore)

September 2025

Department of Trauma Intensive Care Unit, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.

Sepsis often leads to unpredictable consequences. The prognosis of sepsis has not been largely improved. We tried to construct a prognostic gene model related to the 28-day mortality of sepsis to identify the risk of mortality and improve the outcome early.

View Article and Find Full Text PDF

Periodontal disease (PD) is a common and complex oral health problem that affects teeth and gums, leading to tooth loss, misalignment, and infection, with significant impact. Identifying the cause and developing new treatments is crucial. This study employed Mendelian randomization (MR), single-cell RNA sequencing (scRNA-seq), and integrated transcriptomics to identify key gene signatures associated with periodontitis.

View Article and Find Full Text PDF