Evidence map›Paper›PMID 39867388›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The landscape of plasma proteomic links to human organ imaging.

Zirui Fan, Julio Chirinos, Xiaochen Yang, Juan Shu, Yujue Li, Joan M O'Brien, Walter Witschey, Daniel J Rader, Ruben Gur, Bingxin Zhao

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

10 authors.

Zirui FanDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Julio ChirinosDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Xiaochen YangDepartment of Statistics, Purdue University, West Lafayette, IN 47907, USA.
Juan ShuDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yujue LiDepartment of Statistics, Purdue University, West Lafayette, IN 47907, USA.
Joan M O'BrienScheie Eye Institute, University of Pennsylvania, Philadelphia, PA 19104, USA.
Walter WitscheyDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel J RaderDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ruben GurLifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA.
Bingxin ZhaoDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-0979-7891

Funding

Penn Mental Health AIDS Research CenterP30MH097488 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Karine Dube, Kelly L Jordan-Sciutto · 2013 to 2026
$23.5M
Construction and Application of Comprehensive Knowledge Graphs for Alzheimer's DiseaseR01AG085581 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, Hongtu Zhu · 2024 to 2026
$3.7M
Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6M
Shared neural basis and genetic architecture of psychiatric disordersR01MH136055 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Bingxin Zhao · 2025 to 2026
$1.3M
NIA NIH HHS R01 AG085581NIA NIH HHS RF1 AG082938NIMH NIH HHS P30 MH097488NIMH NIH HHS R01 MH136055
6 · The paper itself

Abstract

Plasma protein levels provide important insights into human disease, yet a comprehensive assessment of plasma proteomics across organs is lacking. Using large-scale multimodal data from the UK Biobank, we integrated plasma proteomics with organ imaging to map their phenotypic and genetic links, analyzing 2,923 proteins and 1,051 imaging traits across multiple organs. We uncovered 5,067 phenotypic protein-imaging associations, identifying both organ-specific and organ-shared proteomic relations, along with their enriched protein-protein interaction networks and biological pathways. By integrating external gene expression data, we observed that plasma proteins associated with the brain, liver, lung, pancreas, and spleen tended to be primarily produced in the corresponding organs, while proteins associated with the heart, body fat, and skeletal muscle were predominantly expressed in the liver. We also mapped key protein predictors of organ structures and showed the effective stratification capability of plasma protein-based prediction models. Furthermore, we identified 8,116 genetic-root putative causal links between proteins and imaging traits across multiple organs. Our study presents the most comprehensive pan-organ imaging proteomics map, bridging molecular and structural biology and offering a valuable resource to contextualize the complex roles of molecular pathways underlying plasma proteomics in organ systems.

Identifiers

PMID39867388
PMCPMC11759249

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.