Evidence map›Paper›PMID 41646694›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Large-Scale Identification of Novel Protein Biomarkers and Therapeutic Targets in Heart and Brain Disease.

Chao Wu, Dantong Li, Sumeet A Khetarpal, Zixun Yuan, Shengyuan Huang, Justin Ralph Baldovino Guerra, Chunyu Li, Qiulian Zhou, Meixi Quan, Jiaqi He and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

5 · Who and what money

Authors and funding

13 authors.

Chao Wu
Dantong Li
Sumeet A Khetarpal
Zixun Yuan
Shengyuan Huang
Justin Ralph Baldovino Guerra
Chunyu Li
Qiulian Zhou
Meixi Quan
Jiaqi He
Meng Wang
Huiying Liang
Anthony Rosenzweig

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurological complications frequently impact morbidity, mortality, and quality of life in patients with cardiovascular disease, yet the biological mediators connecting cardiovascular and neurological disease are poorly understood. Leveraging data from 53,014 individuals with plasma proteomic profiles and 50,228 with cardiac and brain MRI from the UK Biobank, we systematically identified circulating proteins correlated with MRI imaging-derived phenotypes (IDPs) (404 proteins with cardiac IDPs; 76 with brain IDPs; 37 with both). Identified proteins were remarkably enriched for biomarkers and mediators of disease in one or both organs. Expression analyses suggested these proteins largely originate from fibroblasts, smooth muscle cells, and macrophages in the arterial vasculature. Pathway analyses highlighted cytokine and vasculature-related processes for cardiac IDPs-associated proteins and extracellular matrix pathways in brain IDPs-associated proteins. Mendelian Randomization and genetic co-localization supported causal roles for most (>63%) of the proteins in disease pathogenesis in one or both organs. Over 90% of the implicated candidates have not previously been established as clinical biomarkers or therapeutic targets. These studies underscore the value of large-scale integrated multi-organ datasets, including plasma proteomics, imaging-derived endophenotypes, and genetics, in unraveling complex disease pathobiology, highlight the close connections between heart and brain disease, and provide a catalog of hundreds of novel candidate biomarkers and therapeutic targets.

Identifiers

PMID41646694
PMCPMC12870602

What OpenQuestion holds

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Registered trials

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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.