Evidence map›Paper›PMID 31087209›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Metabolomic profiling for identification of potential biomarkers in patients with dermatomyositis.

Tie Zhang, Jing Xu, Yang Liu, Jia Liu

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Causal Relationships Between Plasma Metabolites and Risk of Dermatomyositis.Clinical, cosmetic and investigational dermatology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Current Knowledge in Skin Metabolomics: Updates from Literature Review.International journal of molecular sciences · 2022
    Review
  11. Article
  12. Article
  13. 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

4 authors at 3 institutions in 1 country.

Tie ZhangLaboratory of China-Japan Friendship Hospital, Sakura Garden East Street, Beijing, 100029, People's Republic of China.
Jing XuDepartment of Echocadiography, The First Hospital of JiLin University, 71 Xinmin Street, Changchun, 132200, People's Republic of China.
Yang LiuDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China. ly0629@bjmu.edu.cn.
Jia LiuDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China. liujia894@gmail.com.
Peking University · CNChina-Japan Friendship Hospital · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDermatomyositis (DM) is a rare autoimmune myopathy characterized by skin lesions, proximal muscle weakness and muscle inflammation. The pathogenesis of DM is unclear, and identification of reliable biomarkers for early diagnosis of DM is critical for design of a specific therapy for this disease.

objectivesTo find and identify potential serum biomarkers in DM patients.

methodsWe performed an untargeted metabolomic approach using UHPLC-MS/MS. The blood serum metabolomic profiles of 26 DM patients and 26 healthy controls were collected. Multivariate analysis of the metabolomic profile was applied to differentiate DM patients and controls and to find potential biomarkers.

resultsA significantly disturbed metabolic profile of DM patients was observed. Pathway analysis showed that aminoacyl-tRNA biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis, and nitrogen metabolism are the most prominently altered pathways in DM. Receiver operating characteristic curve indicated that glutamine, methionine, isoleucine, tryptophan, glutamic acid, indole, protocatechuic acid, and phenylalanine were potential biomarkers for DM diagnosis in terms of both sensitivity and specificity.

conclusionsOur study provides new insight into underlying mechanisms of DM, and we suggest that we should pay more attention to these metabolic pathways in the prevention and treatment of DM.

Indexed as

MetabolomicsBiomarkersChromatography, High Pressure LiquidDermatomyositisFemaleHumansMaleMiddle AgedMultivariate AnalysisTandem Mass SpectrometryBiomarkersBiomarkerDermatomyositisLC–MSMetabolic pathwaysMetabolomics

Identifiers

PMID31087209
OpenAlexW2945834980

What Socratic holds

Textmetadata
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.