Evidence map›Paper›PMID 42325795›Full record

ArticleAmerican journal of translational research2026

Machine learning integration of bulk and single-cell RNA-Seq data reveals COPS2 as a central immune regulator in deep vein thrombosis.

Yuanqi Chen, Jijun Wu, Jiawei Peng, Yiduo Bai, Wenjun Liu, Hao Liu, Zilang Zhang

Abstract read
In one paragraph

Article in American journal of translational research, 2026. 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

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yuanqi ChenDivision of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, China.
Jijun WuDepartment of Interventional Radiology, Zhongshan Torch Development Zone People's Hospital Zhongshan 528437, Guangdong, China.
Jiawei PengDepartment of Vascular Surgery; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital, Guangzhou Medical University Guangzhou 510150, Guangdong, China.
Yiduo BaiDepartment of Vascular Surgery; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital, Guangzhou Medical University Guangzhou 510150, Guangdong, China.
Wenjun LiuDivision of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, China.
Hao LiuDivision of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, China.
Zilang ZhangDepartment of General Surgery, The First People's Hospital of Foshan Foshan 528000, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep vein thrombosis (DVT) is a life-threatening condition in which dysregulated immune-endothelial interactions drive thrombus formation, yet upstream molecular regulators remain poorly understood. Employing an integrative multi-omic strategy - combining proteome-wide Mendelian randomization, immune cell mediation analysis, bulk and single-cell transcriptomics, and machine learning - we identified 132 plasma proteins with genetically inferred causal effects on DVT. Among these, COP9 signalosome subunit 2 (COPS2) emerged as the most consistent candidate, with approximately 20% of its effect mediated through effector memory cluster of differentiation 8-positive (CD8

Indexed as

COPS2Deep vein thrombosisimmunothrombosismachine learningmendelian randomizationsingle-cell RNA sequencing analysis

Identifiers

PMID42325795
PMCPMC13275878

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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.