ArticleFrontiers in immunology2023
Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Machine learning for predictive risk stratification in recurrent miscarriage: a systematic review.BMC medical informatics and decision making · 2026Pooled it
- METTL3-Mediated m6A Modification of ACTR2 Promotes Trophoblast Cell Growth, Migration and Invasion in Unexplained Recurrent Spontaneous Abortion.Cell biochemistry and biophysics · 2026Article
- Artificial Intelligence in Recurrent Pregnancy Loss: From Risk Prediction to ART Translation.Journal of clinical medicine · 2026Review
- Development of a diagnostic model using the circulating long noncoding RNAs LINC00857 and KLHDC7B-DT in lung adenocarcinoma.Journal of thoracic disease · 2026Article
- F2R and MXRA5: the metabolic obesity-derived biomarkers for immunosuppression and poor survival in triple-negative breast cancer.Discover oncology · 2026Article
- Multivariable AI-based analysis of immune-lifestyle patterns associated with recurrent pregnancy loss: an exploratory retrospective study.Scientific reports · 2026Article
- Investigating the Mechanism of Edible Medicinal Plants Against Squamous Cell Carcinomas Based on Network Pharmacology, Bioinformatics, and Molecular Dynamics Simulation.International journal of molecular sciences · 2026Article
- The mechanism of gut microbiota in septic cardiomyopathy based on the bulk transcriptome and Mendelian randomization analysis.Frontiers in immunology · 2026Article
- TGM1 as a novel signature gene in psoriasis identified by integrative bioinformatics and experimental validation.Molecular medicine reports · 2026Article
- Construction of a novel 3-gene diagnostic signature related to senescence in intervertebral disc degeneration.European journal of medical research · 2025Article
- Integrative RNA-seq analysis reveals immune-related hub genesInternational journal of reproductive biomedicine · 2025Article
- Identification of shared pathogenetic mechanisms between endometriosis and RSA based on comprehensive bioinformatics analysis.Journal of assisted reproduction and genetics · 2025Article
- Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.Scientific reports · 2025Article
- Therapeutic and Prognostic Potential of G Protein-Coupled Receptors in Lung Adenocarcinoma: Evidence From Transcriptome Data and In Vitro Experiments.The clinical respiratory journal · 2025Article
- Predictive models and WTAP targeting for idiopathic pulmonary fibrosis (IPF).Scientific reports · 2025Article
- FXYD1 was identified as a hub gene in recurrent miscarriage and involved in decidualization via regulating Na/K-ATPase activity.Journal of assisted reproduction and genetics · 2025Article
- Identification of important genes related to ferroptosis in early missed abortion based on WGCNA.Scientific reports · 2025Article
- Comprehensive bioinformatics andFrontiers in endocrinology · 2025Article
- Risk prediction for recurrent pregnancy loss based on routine inspections in the first trimester of pregnancy, a retrospective study in China.Frontiers in medicine · 2025Article
- Identification of biomarkers and immune microenvironment associated with heart failure through bioinformatics and machine learning.Frontiers in molecular biosciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Recurrent pregnancy loss defined as the occurrence of two or more pregnancy losses before 20-24 weeks of gestation, is a prevalent and significant pathological condition that impacts human reproductive health. However, the underlying mechanism of RPL remains unclear. This study aimed to investigate the biomarkers and molecular mechanisms associated with RPL and explore novel treatment strategies for clinical applications. Methods: The GEO database was utilized to retrieve the RPL gene expression profile GSE165004. This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. ANN model were constructed to assess the performance of hub genes in the dataset. The expression of hub genes in both the RPL and control group samples was validated using RT-qPCR. The immune cell infiltration level of RPL was assessed using CIBERSORT. Additionally, pan-cancer analysis was conducted using Sangerbox, and small-molecule drug screening was performed using CMap. Results: A total of 352 DEGs were identified, including 198 up-regulated genes and 154 down-regulated genes. Enrichment analysis indicated that the DEGs were primarily associated with Fc gamma R-mediated phagocytosis, the Fc epsilon RI signaling pathway, and various metabolism-related pathways. The turquoise module, which showed the highest relevance to clinical symptoms based on WGCNA results, contained 104 DEGs. Three hub genes, WBP11, ACTR2, and NCSTN, were identified using machine learning algorithms. ROC curves demonstrated a strong diagnostic value when the three hub genes were combined. RT-qPCR confirmed the low expression of WBP11 and ACTR2 in RPL, whereas NCSTN exhibited high expression. The immune cell infiltration analysis results indicated an imbalance of macrophages in RPL. Meanwhile, these three hub genes exhibited aberrant expression in multiple malignancies and were associated with a poor prognosis. Furthermore, we identified several small-molecule drugs. Conclusion: This study identifies and validates hub genes in RPL, which may lead to significant advancements in understanding the molecular mechanisms and treatment strategies for this condition.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.