Evidence map›Paper›PMID 42737487›Full record

ArticleInternational journal of molecular sciences2026

Label-Free Urinary Proteomics Uncovers Immune-Related Non-Invasive Biomarkers for Primary Biliary Cholangitis.

Xiong Pei, Ting Lei, Wei Jiang, Qingmin Zeng, Hong Tang, Taoyou Zhou, Dongbo Wu

Abstract read
In one paragraph

Article in International journal of molecular 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
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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

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

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.

Xiong PeiCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.
Ting LeiCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.
Wei JiangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.
Qingmin ZengCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.
Hong TangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.
Taoyou ZhouCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.
Dongbo WuCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610093, China.ORCID 0000-0003-4500-047X

Funding

Science and Technology Department of Sichuan Province (No. 2024YFFK0214, 2024YFHZ0055)
6 · The paper itself

Abstract

Diagnosis of primary biliary cholangitis (PBC) currently depends on invasive liver biopsy or serum markers with inadequate diagnostic performance. This study aimed to identify non-invasive urinary protein biomarkers for PBC detection. Urine specimens from biopsy-verified PBC patients and healthy controls were processed through ultracentrifugation-based protein extraction, enzymatic digestion, and HPLC-ESI-IT/MS proteomic profiling; protein quantification was completed using Spectronaut v14.8. We identified 194 differentially expressed urinary proteins (109 upregulated, 85 downregulated) and screened 10 immune-related candidates through GO and KEGG enrichment. Pearson correlation further filtered three core proteins, osteopontin (SPP1/OPN), RAMP3 and S100A8, that correlated significantly with key PBC biochemical indices (ALP, GGT, AST, ALT, IgM,

Indexed as

BiomarkersLiver Cirrhosis, BiliaryProteomeProteomicsAdultAgedCalgranulin ACase-Control StudiesFemaleHumansMaleMiddle AgedOsteopontinBiomarkersCalgranulin AOsteopontinProteomeS100A8 protein, humanSPP1 protein, humannon-invasive biomarkerosteopontinprimary biliary cholangitisreceptor activity-modifying protein 3S100A8urinary proteomics

Identifiers

PMID42737487
PMCPMC13566571

What OpenQuestion holds

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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.