Evidence mapPaperPMID 41432036Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Novel 10-Protein Score for Liver Fat Content Predicts Cardiovascular-Kidney-Metabolic Disease Risk.

Xiaoqin Gan, Yuanxiu Wei, Yiting Wu, Xinyue Su, Gangling Wang, Sisi Yang, Ziliang Ye, Yanjun Zhang, Hao Xiang, Yu Huang and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

13 authors.

Xiaoqin GanDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Yuanxiu WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yiting WuDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Xinyue SuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Gangling WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Sisi YangDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Ziliang YeDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Yanjun ZhangDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Hao XiangDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Yu HuangDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Yiwei ZhangDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Yuanyuan ZhangDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
Xianhui QinDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.ORCID https://orcid.org/0000-0001-7812-7982

Funding

Guangdong Provincial Clinical Research Center for Kidney Disease 2020B1111170013Key Technologies R&D Program of Guangdong Province 2023B1111030004National Key Research and Development Program of China 2022YFC2009600National Key Research and Development Program of China 2022YFC2009605National Natural Science Foundation of China 81973133National Natural Science Foundation of China 82030022National Natural Science Foundation of China 82330020National Natural Science Foundation of China 82570914President Foundation of Nanfang Hospital, Southern Medical University 2024B029Program of Introducing Talents of Discipline to Universities, 111 Plan (D18005)
6 · The paper itself

Abstract

Liver fat content (LFC) is a key biomarker for cardiovascular-kidney-metabolic (CKM), yet noninvasive assessment remains challenging. It aims to develop a plasma proteomic-based LFC score to predict MRI-derived proton density fat fraction (MRI-PDFF), evaluate its association with 14 CKM diseases, and explore interactions with polygenic risk scores (PRS). Both the comprehensive 62-protein and simplified 10-protein LFC scores are developed and validated in 5,320 UK Biobank participants (96.8% White). The 10-protein LFC score, comprising proteins involved in adipogenesis, lipid metabolism, and insulin signaling (IGFBP2, FABP4, MET, CPM, CES1, IGFBP1, CDHR2, RBP5, ERBB2, SSC5D), showed superior diagnostic accuracy for hepatic steatosis compared to fatty liver index(FLI) (AUC = 0.850 vs. 0.794). Among 45,444 participants, it exhibited significant associations with 16 cardiometabolic risk markers and 13 incident CKM outcomes, particularly metabolic dysfunction-associated steatotic liver disease (MASLD), type 2 diabetes (T2D), chronic kidney disease, and coronary heart disease. The score significantly enhanced risk prediction for 8-10 CKM outcomes beyond standard risk factors and FLI (e.g., MASLD,C-index improved from 0.743 to 0.774; T2D, from 0.773 to 0.806). The score showed significant interactions with PRS for T2D (P-interaction<0.001). The 62-protein model yielded similar results. A 10-protein score accurately quantifies liver fat, predicts cardiometabolic risk, and integrates with genetic risk for precision prevention, providing a practical MRI alternative.

Indexed as

Cardiovascular DiseasesFatty LiverLiverMetabolic DiseasesAdultAgedBiomarkersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProteomicsRisk FactorsBiomarkerscardiovascular‐kidney‐metabolic diseaseliver fat contentmagnetic resonance imagingproteomicsproton density fat fraction

Identifiers

PMID41432036
PMCPMC12915156

What Socratic 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 Socratic graph.