ArticleFrontiers in immunology2026
RNA sequencing-derived gene co-expression and drug-gene interaction analysis reveal STAT1 as a potential therapeutic target in thrombotic antiphospholipid syndrome.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Thrombotic primary antiphospholipid syndrome (PAPS) pathogenesis remains undefined, and recurrent thrombosis may occur despite adequate anticoagulation treatment. Identifying disease-specific molecular pathways and regulators can help in the discovery of novel therapeutic targets. Herein, we examine gene co-expression networks and potential druggable targets in thrombotic PAPS. Methods: We analyzed a whole-blood RNA-sequencing dataset from 62 well-characterized patients with thrombotic PAPS (40% with recurrent thrombosis), and 29 age/sex-matched healthy controls(HCs). Weighted Gene Co-expression Network Analysis (WGCNA) was performed to identify gene modules associated with PAPS, followed by enrichment analysis. Drug-gene interaction analysis of hub regulators within the identified networks was applied. Genes were classified based on target drug annotation and priority categories (low/medium/high). Results: WGCNA of whole-blood transcriptome of thrombotic PAPS and HCs, which included 8,190 expressed genes, identified five co-expression modules, two of which correlated with PAPS: the yellow, consisted of 42 genes enriched in immune-related functions, and the brown comprised 144 genes with a regulatory signature enriched in transcription activation pathways. A merged module demonstrated enhanced correlation with PAPS compared with HCs (r=0.221, p=0.035). Both yellow and brown, and merged module, were co-regulated by Transducer and Activator of Transcription 1 ( Conclusion:
Indexed as
Identifiers
What Socratic 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 Socratic graph.