Evidence map›Paper›PMID 31266959›Full record

ArticleNature communications2019

Transient drug-tolerance and permanent drug-resistance rely on the trehalose-catalytic shift in Mycobacterium tuberculosis.

Jae Jin Lee, Sun-Kyung Lee, Naomi Song, Temitope O Nathan, Benjamin M Swarts, Seok-Yong Eum, Sabine Ehrt, Sang-Nae Cho, Hyungjin Eoh

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 119 citations in OpenAlex.

  1. Article
  2. Biofilm Associated Persistence and Drug Tolerance in Mycobacteria Within Host Microenvironments.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Frontiers in pharmacology · 2026
    Article
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  18. Article
  19. Mycobacterial Biofilm: Mechanisms, Clinical Problems, and Treatments.International journal of molecular sciences · 2024
    Review
  20. Review

9 more citing papers are in PubMed but not listed here.

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 5 institutions in 2 countries.

Jae Jin LeeDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.ORCID http://orcid.org/0000-0001-8317-437X
Sun-Kyung LeeDivision of Immunopathology and Cellular Immunology, International Tuberculosis Research Center, Changwon, 51755, Republic of Korea.
Naomi SongDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, 10065, USA.
Temitope O NathanDepartment of Chemistry and Biochemistry, Central Michigan University, Mount Pleasant, MI, 48859, USA.
Benjamin M SwartsDepartment of Chemistry and Biochemistry, Central Michigan University, Mount Pleasant, MI, 48859, USA.
Seok-Yong EumDivision of Immunopathology and Cellular Immunology, International Tuberculosis Research Center, Changwon, 51755, Republic of Korea.
Sabine EhrtDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, 10065, USA.
Sang-Nae ChoDivision of Immunopathology and Cellular Immunology, International Tuberculosis Research Center, Changwon, 51755, Republic of Korea.
Hyungjin EohDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA. heoh@usc.edu.ORCID http://orcid.org/0000-0001-8774-6400
Central Michigan University · USCornell University · USInternational Tuberculosis Research Center · KRUniversity of Southern California · USYonsei University · KR

Funding

Chemoenzymatic synthesis of trehalose analogues as tools for investigating mycobacteriaR15AI117670 · NIAID · CENTRAL MICHIGAN UNIVERSITY · PI SWARTS, BENJAMIN MICHAEL, WOODRUFF, PETER J · 2015 to 2024
$1.3M
Metabolic compensation in Mycobacterium tuberculosis for the formation of persistersR21AI139386 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EOH, HYUNGJIN · 2019 to 2020
$454k
NIAID NIH HHS R15 AI117670NIAID NIH HHS R21 AI139386
6 · The paper itself

Abstract

Stochastic formation of Mycobacterium tuberculosis (Mtb) persisters achieves a high level of antibiotic-tolerance and serves as a source of multidrug-resistant (MDR) mutations. As conventional treatment is not effective against infections by persisters and MDR-Mtb, novel therapeutics are needed. Several approaches were proposed to kill persisters by altering their metabolism, obviating the need to target active processes. Here, we adapted a biofilm culture to model Mtb persister-like bacilli (PLB) and demonstrated that PLB underwent trehalose metabolism remodeling. PLB use trehalose as an internal carbon to biosynthesize central carbon metabolism intermediates instead of cell surface glycolipids, thus maintaining levels of ATP and antioxidants. Similar changes were identified in Mtb following antibiotic-treatment, and MDR-Mtb as mechanisms to circumvent antibiotic effects. This suggests that trehalose metabolism is associated not only with transient drug-tolerance but also permanent drug-resistance, and serves as a source of adjunctive therapeutic options, potentiating antibiotic efficacy by interfering with adaptive strategies.

Indexed as

Drug Resistance, Multiple, BacterialAdenosine TriphosphateAnti-Bacterial AgentsBacterial ProteinsCatalysisGlucosyltransferasesHumansMycobacterium tuberculosisTrehaloseTuberculosisAdenosine TriphosphateAnti-Bacterial AgentsBacterial ProteinsGlucosyltransferasesTrehalosetrehalose synthase

Identifiers

PMID31266959
PMCPMC6606615
OpenAlexW2953808571

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.