Evidence map›Paper›PMID 33943004›Full record

ArticleMolecular systems biology2021

Metabolic fluxes for nutritional flexibility of Mycobacterium tuberculosis.

Khushboo Borah, Tom A Mendum, Nathaniel D Hawkins, Jane L Ward, Michael H Beale, Gerald Larrouy-Maumus, Apoorva Bhatt, Martine Moulin, Michael Haertlein, Gernot Strohmeier and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

42 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
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  4. A new Persister Enrichment Model inbioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Impact of Diabetes Mellitus in Tuberculosis (TB) Patients on TB Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Systems analysis reveals alternate metabolic states adopted bybioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

16 authors at 9 institutions in 5 countries.

Khushboo BorahDepartment of Microbial and Cellular Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0001-9030-2085
Tom A MendumDepartment of Microbial and Cellular Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0002-6331-2605
Nathaniel D HawkinsDepartment of Computational and Analytical Sciences, Rothamsted Research, Harpenden, UK.ORCID 0000-0001-9806-312X
Jane L WardDepartment of Computational and Analytical Sciences, Rothamsted Research, Harpenden, UK.
Michael H BealeDepartment of Computational and Analytical Sciences, Rothamsted Research, Harpenden, UK.
Gerald Larrouy-MaumusMRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, UK.ORCID 0000-0001-6614-8698
Apoorva BhattSchool of Biosciences, University of Birmingham, Edgbaston, UK.ORCID 0000-0002-6655-1636
Martine MoulinLife Sciences Group, Institut Laue-Langevin, Grenoble Cedex 9, France.
Michael HaertleinLife Sciences Group, Institut Laue-Langevin, Grenoble Cedex 9, France.
Gernot StrohmeierAustrian Centre of Industrial Biotechnology, Graz, Austria.
Harald PichlerAustrian Centre of Industrial Biotechnology, Graz, Austria.
V Trevor ForsythLife Sciences Group, Institut Laue-Langevin, Grenoble Cedex 9, France.
Stephan NoackInstitute of Bio- and Geosciences 1: Biotechnology 2, Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0001-9784-3626
Celia W GouldingDepartment of Pharmaceutical Sciences & Molecular Biology & Biochemistry, University of California Irvine, Irvine, CA, USA.ORCID 0000-0001-5582-0565
Johnjoe McFaddenDepartment of Microbial and Cellular Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0003-2145-0046
Dany J V BesteDepartment of Microbial and Cellular Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0001-6579-1366
University of Surrey · GBInstitut Laue-Langevin · FRRothamsted Research · GBForschungszentrum Jülich · DEGraz University of Technology · ATImperial College London · GBInstitute of Molecular Biotechnology · ATUniversity of Birmingham · GBUniversity of California, Irvine · US

Funding

Vulnerabilities in Mycobacterial Cell-Wall BiogenesisP01AI095208 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI SACCHETTINI, JAMES C · 2012 to 2022
$19.8M
Biotechnology and Biological Sciences Research Council BBS/E/C/00004559Biotechnology and Biological Sciences Research Council BBS/E/C/00004976Biotechnology and Biological Sciences Research Council BB/T007648/1Medical Research Council MR/K01224X/1Wellcome Trust 088677/Z/09/Z
6 · The paper itself

Abstract

The co-catabolism of multiple host-derived carbon substrates is required by Mycobacterium tuberculosis (Mtb) to successfully sustain a tuberculosis infection. However, the metabolic plasticity of this pathogen and the complexity of the metabolic networks present a major obstacle in identifying those nodes most amenable to therapeutic interventions. It is therefore critical that we define the metabolic phenotypes of Mtb in different conditions. We applied metabolic flux analysis using stable isotopes and lipid fingerprinting to investigate the metabolic network of Mtb growing slowly in our steady-state chemostat system. We demonstrate that Mtb efficiently co-metabolises either cholesterol or glycerol, in combination with two-carbon generating substrates without any compartmentalisation of metabolism. We discovered that partitioning of flux between the TCA cycle and the glyoxylate shunt combined with a reversible methyl citrate cycle is the critical metabolic nodes which underlie the nutritional flexibility of Mtb. These findings provide novel insights into the metabolic architecture that affords adaptability of bacteria to divergent carbon substrates and expand our fundamental knowledge about the methyl citrate cycle and the glyoxylate shunt.

Indexed as

Bacteriological TechniquesCarbonCholesterolCitric Acid CycleGlycerolGlyoxylatesIsotope LabelingLipid MetabolismMetabolic Networks and PathwaysMycobacterium tuberculosisPhenotypeCarbonCholesterolGlycerolGlyoxylatesglyoxylic acidchemostatmetabolic fluxmetabolismMycobacterium tuberculosistuberculosis

Identifiers

PMID33943004
PMCPMC8094261
OpenAlexW3157217427

What OpenQuestion 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 OpenQuestion graph.