Evidence map›Paper›PMID 42490652›Full record

ArticlePLoS computational biology2026

A cost-optimized 5-protein panel revolutionizes systemic lupus erythematosus diagnosis.

Wenhua Lv, Zhenwei Shang, Chen Sun, Yuping Zou, Siyu Wei, Haiyan Chen, Junxian Tao, Hongsheng Tian, Yu Dong, Chen Zhang and 3 more

Abstract read
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In one paragraph

Article in PLoS computational biology, 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

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.

Wenhua LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID 0000-0002-2528-4754
Zhenwei ShangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chen SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yuping ZouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Siyu WeiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Haiyan ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Junxian TaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongsheng TianCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yu DongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chen ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Mingming ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongchao LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yongshuai JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

Excellent Youth Support plan of Education Department of Heilongjiang ProvinceFundamental Research Funds for the Provincial Universities in Heilongjiang province, ChinaMathematical Tianyuan Fund of the National Natural Science Foundation of ChinaNational Natural Science Foundation of China
6 · The paper itself

Abstract

Early diagnosis of systemic lupus erythematosus (SLE) is hindered by a lack of reliable biomarkers. This study sought to identify and evaluate diagnostic plasma protein biomarkers for SLE. We analyzed plasma protein profiles, polygenic risk scores (PRS), and clinical data from 544 SLE cases and 48,036 controls in the UK Biobank. Using LASSO regression, we identified 35 high-confidence SLE-associated proteins and derived a protein risk score (ProtRS). The ProtRS model achieved exceptional diagnostic performance (AUC = 0.91), significantly outperforming models based on PRS or clinical factors alone. Notably, a cost-optimized 5-protein panel (TRIM21, SOD2, KLK3, IL15, ADIPOQ) retained high accuracy (AUC = 0.82) while reducing costs by ~87%. ProtRS also demonstrated the highest population attributable fraction (96.34%), underscoring its dominant contribution to SLE burden. This study establishes a protein-driven framework for early SLE detection, offering tiered diagnostic solutions to balance accuracy and cost. The findings underscore the translational potential of protein biomarkers in bridging theoretical research and clinical practice.

Indexed as

Blood ProteinsLupus Erythematosus, SystemicBiomarkersComputational BiologyGenetic Risk ScoreHumansBiomarkersBlood Proteins

Identifiers

PMID42490652
PMCPMC13395324

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.