Evidence map›Paper›PMID 25736521›Full record

ArticleTuberculosis (Edinburgh, Scotland)2015

Metabolomics specificity of tuberculosis plasma revealed by (1)H NMR spectroscopy.

Aiping Zhou, Jinjing Ni, Zhihong Xu, Ying Wang, Haomin Zhang, Wenjuan Wu, Shuihua Lu, Petros C Karakousis, Yu-Feng Yao

Open access · greenAbstract readComparative Study
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Shared urinary metabolomic signatures as potential biomarkers for early intestinalCurrent research in parasitology & vector-borne diseases · 2026
    Article
  5. Article
  6. Article
  7. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  8. Review
  9. Article
  10. Biomarker discovery for tuberculosis using metabolomics.Frontiers in molecular biosciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Review
  18. Review
  19. 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

9 authors at 6 institutions in 2 countries.

Aiping ZhouDepartment of Laboratory Medicine, East Hospital Affiliated to Tongji University, Shanghai 200120, China; Laboratory of Bacterial Pathogenesis, Department of Microbiology and Immunology, Institutes of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Tibet University for Nationalities School of Medicine, Xianyang, Shanxi 712082, China. Electronic address: abby_aiping@126.com.
Jinjing NiLaboratory of Bacterial Pathogenesis, Department of Microbiology and Immunology, Institutes of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: nijinjing45@163.com.
Zhihong XuLaboratory of Bacterial Pathogenesis, Department of Microbiology and Immunology, Institutes of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: xvzhihong@126.com.
Ying WangShanghai Institute of Immunology, Shanghai 200025, China. Electronic address: ywang@sibs.ac.cn.
Haomin ZhangRenji Hospital Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China. Electronic address: zhanghaomin1976@163.com.
Wenjuan WuDepartment of Laboratory Medicine, East Hospital Affiliated to Tongji University, Shanghai 200120, China. Electronic address: wwj1210@126.com.
Shuihua LuShanghai Public Health Clinical Center, Shanghai 201508, China. Electronic address: tubercle@shaphc.org.
Petros C KarakousisCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA. Electronic address: petros@jhmi.edu.
Yu-Feng YaoDepartment of Laboratory Medicine, East Hospital Affiliated to Tongji University, Shanghai 200120, China; Laboratory of Bacterial Pathogenesis, Department of Microbiology and Immunology, Institutes of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: yfyao@sjtu.edu.cn.
Shanghai Jiao Tong University · CNJohns Hopkins University · USRenji Hospital · CNShanghai East Hospital · CNShanghai Public Health Clinical Center · CNXizang Minzu University · CN

Funding

A Multidisciplinary Approach to Understanding TB Latency and ReactivationR01HL106786 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BADER, JOEL S., KARAKOUSIS, PETROS C · 2010 to 2013
$3.1M
The Role of Cell Wall Lipids in Pathogenesis of Rifampin-Resistant TBR01AI106613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KARAKOUSIS, PETROS C · 2013 to 2015
$765k
NHLBI NIH HHS HL106786NHLBI NIH HHS R01 HL106786NIAID NIH HHS AI106613NIAID NIH HHS R01 AI106613
6 · The paper itself

Abstract

Tuberculosis (TB) is a communicable disease of major global importance and causes metabolic disorder of the patients. In a previous study, we found that the plasma metabolite profile of TB patients differs from that of healthy control subjects based on nuclear magnetic resonance (NMR) spectroscopy. In order to evaluate the TB specificity of the metabolite profile, a total of 110 patients, including 40 with diabetes, 40 with malignancy, and 30 with community-acquired pneumonia (CAP), assessed by NMR spectroscopy, and compared to those of patients with TB. Based on the orthogonal partial least-squares discriminant analysis (OPLS-DA), the metabolic profiles of these diseases were significant different, as compared to the healthy controls and TB patients, respectively. The score plots of the OPLS-DA model demonstrated that TB was easily distinguishable from diabetes, CAP and malignancy. Plasma levels of ketone bodies, lactate, and pyruvate were increased in TB patient compared to healthy control, but lower than CAP and malignancy. We conclude that the metabolic profiles were TB-specific and reflected MTB infection. Our results strongly support the NMR spectroscopy-based metabolomics could contribute to an improved understanding of disease mechanisms and may offer clues to new TB clinic diagnosis and therapies.

Indexed as

Proton Magnetic Resonance SpectroscopyAdultAgedAged, 80 and overBiomarkersCase-Control StudiesCommunity-Acquired InfectionsDiabetes Mellitus, Type 2Discriminant AnalysisFemaleHumansKetone BodiesLactic AcidLeast-Squares AnalysisMaleMetabolomicsBiomarkersKetone BodiesLactic AcidPyruvic AcidCommunity-acquired pneumoniaDiabetesMalignancyMetabolitePlasmaTuberculosis

Identifiers

PMID25736521
PMCPMC4428961
OpenAlexW2139723992

What OpenQuestion holds

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LicenceTDM
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 OpenQuestion graph.