Evidence map›Paper›PMID 33177551›Full record

Observational studyScientific reports2020

Integration of metabolomics and transcriptomics reveals novel biomarkers in the blood for tuberculosis diagnosis in children.

Noton K Dutta, Jeffrey A Tornheim, Kiyoshi F Fukutani, Mandar Paradkar, Rafael T Tiburcio, Aarti Kinikar, Chhaya Valvi, Vandana Kulkarni, Neeta Pradhan, Shri Vijay Bala Yogendra Shivakumar and 7 more

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  20. Trends and challenges of multi-drug resistance in childhood tuberculosis.Frontiers in cellular and infection microbiology · 2023
    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

17 authors.

Noton K DuttaCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, 1551 East Jefferson Street, Room 110, Baltimore, MD, 21287, USA. notonkumardutta@gmail.com.
Jeffrey A TornheimCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, 1551 East Jefferson Street, Room 110, Baltimore, MD, 21287, USA.
Kiyoshi F FukutaniLaboratório de Inflamação E Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Mandar ParadkarByramjee Jeejeebhoy Government Medical College, Johns Hopkins University Clinical Research Site, Pune, Maharashtra, India.
Rafael T TiburcioMultinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.
Aarti KinikarByramjee Jeejeebhoy Government Medical College, Pune, Maharashtra, India.
Chhaya ValviByramjee Jeejeebhoy Government Medical College, Pune, Maharashtra, India.
Vandana KulkarniByramjee Jeejeebhoy Government Medical College, Johns Hopkins University Clinical Research Site, Pune, Maharashtra, India.
Neeta PradhanByramjee Jeejeebhoy Government Medical College, Johns Hopkins University Clinical Research Site, Pune, Maharashtra, India.
Shri Vijay Bala Yogendra ShivakumarJohns Hopkins University - India Office (CCGHE), Pune, Maharashtra, India.
Anju KagalByramjee Jeejeebhoy Government Medical College, Pune, Maharashtra, India.
Akshay GupteCenter for Clinical Global Health Education, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nikhil GupteCenter for Clinical Global Health Education, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Vidya MaveCenter for Clinical Global Health Education, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Amita GuptaCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, 1551 East Jefferson Street, Room 110, Baltimore, MD, 21287, USA.
Bruno B AndradeMultinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.
Petros C KarakousisCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, 1551 East Jefferson Street, Room 110, Baltimore, MD, 21287, USA. petros@jhmi.edu.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
The Johns Hopkins Baltimore-Washington-India Clinical Trials Unit (BWI CTU)UM1AI069465 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Charles W. Flexner, Amita Gupta · 2012 to 2026
$34.1M
Fogarty Global Health Fellows Coordinating CenterR25TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2012 to 2016
$6.9M
Mentoring in Immunometabolic Dysregulation in TB and TB/HIVK24AI143447 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KARAKOUSIS, PETROS C · 2019 to 2024
$956k
Whole Genome Sequencing of Drug Resistant Tuberculosis in India: Genotype-Phenotype Correlation, Clinical Impact of Resistance, and Sequencing Directly from SputumK23AI135102 · NIAID · JOHNS HOPKINS UNIVERSITY · PI TORNHEIM, JEFFREY · 2018 to 2021
$776k
A novel "shock and kill" strategy for eliminating Mtb persisters in the CD4 T-cell-deficient hostR21AI122922 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KARAKOUSIS, PETROS C · 2016 to 2017
$446k
FIC NIH HHS R25 TW009340NCATS NIH HHS UL1 TR001079NIAID NIH HHS K23 AI135102NIAID NIH HHS K23AI135102NIAID NIH HHS K24 AI143447NIAID NIH HHS K24AI143447NIAID NIH HHS P30 AI094189NIAID NIH HHS R21 AI122922NIAID NIH HHS UM1 AI069465NIAID NIH HHS UM1AI069465NIH HHS R25TW009340
6 · The paper itself

Abstract

Pediatric tuberculosis (TB) remains a major global health problem. Improved pediatric diagnostics using readily available biosources are urgently needed. We used liquid chromatography-mass spectrometry to analyze plasma metabolite profiles of Indian children with active TB (n = 16) and age- and sex-matched, Mycobacterium tuberculosis-exposed but uninfected household contacts (n = 32). Metabolomic data were integrated with whole blood transcriptomic data for each participant at diagnosis and throughout treatment for drug-susceptible TB. A decision tree algorithm identified 3 metabolites that correctly identified TB status at distinct times during treatment. N-acetylneuraminate achieved an area under the receiver operating characteristic curve (AUC) of 0.66 at diagnosis. Quinolinate achieved an AUC of 0.77 after 1 month of treatment, and pyridoxate achieved an AUC of 0.87 after successful treatment completion. A set of 4 metabolites (gamma-glutamylalanine, gamma-glutamylglycine, glutamine, and pyridoxate) identified treatment response with an AUC of 0.86. Pathway enrichment analyses of these metabolites and corresponding transcriptional data correlated N-acetylneuraminate with immunoregulatory interactions between lymphoid and non-lymphoid cells, and correlated pyridoxate with p53-regulated metabolic genes and mitochondrial translation. Our findings shed new light on metabolic dysregulation in children with TB and pave the way for new diagnostic and treatment response markers in pediatric TB.

Indexed as

AdolescentAntitubercular AgentsBiomarkersCase-Control StudiesChildChromatography, LiquidFamily CharacteristicsFemaleGene Expression ProfilingHumansLongitudinal StudiesMaleMass SpectrometryMetabolomicsTreatment OutcomeTuberculosisAntitubercular AgentsBiomarkers

Identifiers

PMID33177551
PMCPMC7658223

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Registered trials

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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.