Evidence map›Paper›PMID 40753209›Full record

ArticleBMC pulmonary medicine2025

Serum metabolomics in pulmonary sarcoidosis: metabolic signatures across prognoses.

Dafu Zhu, Jianglong Chen, Li Zhang, Hongxu Li, Jingyi Wang, Jiacui Song, Dong Weng, Pengcheng Zhang, Qiuhong Li, Yuan Zhang and 1 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. 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. Analysis of serum NMR metabolomics in fibrotic diseases of the myocardium.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  2. Article
  3. Metabolomic signaling in sarcoidosis pathogenesis.Current opinion in immunology · 2026
    Review
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

11 authors.

Dafu Zhu *Department of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Jianglong Chen *School of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Li Zhang *Department of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Hongxu LiSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Jingyi WangSchool of Medicine, Tongji University, Shanghai, 200092, China.
Jiacui SongDepartment of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Dong WengDepartment of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Pengcheng ZhangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Qiuhong LiDepartment of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. qiuhongl@126.com.
Yuan ZhangDepartment of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. zhs0905@126.com.
Mengmeng ZhaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. mmzhao_tongji@163.com.

Funding

Clinical Research Youth Project of Shanghai Health Commission 20234Y0275National Key Research and Development Program of China 2024YFA1108900National Natural Science Foundation of China 82000068National Natural Science Foundation of China 82100073National Natural Science Foundation of China 82270064Natural Science Foundation of Shanghai 20ZR1446800Natural Science Foundation of Shanghai 22ZR1452300Shanghai Pulmonary Hospital Project Newcomer Program Fkxr2304Tongji University Medicine-X Interdisciplinary Research Initiative 2025-0554-YB-03Tongji University Medicine-X Interdisciplinary Research Initiative 2025-0554-YB-04
6 · The paper itself

Abstract

backgroundSarcoidosis is a systemic inflammatory disease, primarily affecting the lungs, with a prognosis that varies widely among patients. While some patients recover spontaneously after diagnosis, others experience disease progression. Currently, the metabolomic profile associated with pulmonary sarcoidosis and its different clinical outcomes remains poorly understood.

methodsSerum samples from 29 pulmonary sarcoidosis patients and 10 healthy controls were analyzed using untargeted UPLC-MS/MS metabolomics. Univariate and multivariate analyses identified differentially expressed metabolites, followed by pathway enrichment to evaluate their biological relevance. Patients were further stratified into self-healing (n = 11) and progressive (n = 18) subgroups based on prognosis. Differential metabolites between subgroups were compared, potential biomarkers were selected, and their diagnostic performance assessed. Correlations with clinical parameters were also analyzed to explore associations with disease progression.

resultsSarcoidosis patients showed distinct serum metabolic profiles compared to healthy controls, with 10 upregulated and 199 downregulated metabolites. Pathway analysis indicated enrichment in amino acid, lipid, and immune-related pathways. Between prognostic subgroups, 25 differential metabolites were identified. Uric acid, testosterone sulfate, allopregnanolone sulfate, and 24,25-dihydroxyvitamin D

conclusionsThis study highlights distinct serum metabolic profiles associated with sarcoidosis prognosis, suggesting that specific metabolic alterations may aid in monitoring and predicting disease outcomes. These findings offer a foundation for future research into personalized treatment and management strategies.

Indexed as

MetabolomeMetabolomicsSarcoidosis, PulmonaryAdultBiomarkersCase-Control StudiesDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisTandem Mass SpectrometryBiomarkersMetabolomicsPrognosisSarcoidosisSerumUPLC-MS/MS

Identifiers

PMID40753209
PMCPMC12318405

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.