Evidence map›Paper›PMID 37864894›Full record

ArticleBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2023

Combination of MCL-1 and BCL-2 inhibitors is a promising approach for a host-directed therapy for tuberculosis.

Eusondia Arnett, Susanta Pahari, Chrissy M Leopold Wager, Elizabeth Hernandez, Jordan R Bonifacio, Miranda Lumbreras, Charles Renshaw, Maria J Montoya, Joseph T Opferman, Larry S Schlesinger

Open access · goldAbstract read
In one paragraph

Article in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Eusondia ArnettHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA. Electronic address: earnett@txbiomed.org.
Susanta PahariHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Chrissy M Leopold WagerHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Elizabeth HernandezHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Jordan R BonifacioHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Miranda LumbrerasHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Charles RenshawHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Maria J MontoyaHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Joseph T OpfermanSt. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Larry S SchlesingerHost Pathogen Interactions Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA. Electronic address: lschlesinger@txbiomed.org.
Texas Biomedical Research Institute · USSt. Jude Children's Research Hospital · US

Funding

Interdisciplinary NexGen TB research Advancement Center (IN-TRAC)P30AI168439 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Shannan Hall-Ursone · 2022 to 2026
$6.9M
Macrophage nuclear receptors, metabolism and immune effectors during health and M. tuberculosis infection- Diversity SupplementR01AI136831 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Eusondia A. Arnett, Larry S. Schlesinger · 2019 to 2026
$4.6M
Effect of HIV infection on M.tuberculosis granuloma formation and evolutionR21AI145539 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI KULKARNI, SMITA, SCHLESINGER, LARRY S. · 2019 to 2020
$536k
NIAID NIH HHS P30 AI168439NIAID NIH HHS R01 AI136831NIAID NIH HHS R21 AI145539
6 · The paper itself

Abstract

Tuberculosis (TB) accounts for 1.6 million deaths annually and over 25% of deaths due to antimicrobial resistance. Mycobacterium tuberculosis (M.tb) drives MCL-1 expression (family member of anti-apoptotic BCL-2 proteins) to limit apoptosis and grow intracellularly in human macrophages. The feasibility of re-purposing specific MCL-1 and BCL-2 inhibitors to limit M.tb growth, using inhibitors that are in clinical trials and FDA-approved for cancer treatment has not be tested previously. We show that specifically inhibiting MCL-1 and BCL-2 induces apoptosis of M.tb-infected macrophages, and markedly reduces M.tb growth in human and murine macrophages, and in a pre-clinical model of human granulomas. MCL-1 and BCL-2 inhibitors limit growth of drug resistant and susceptible M.tb in macrophages and act in additive fashion with the antibiotics isoniazid and rifampicin. This exciting work uncovers targeting the intrinsic apoptosis pathway as a promising approach for TB host-directed therapy. Since safety and activity studies are underway in cancer clinics for MCL-1 and BCL-2 inhibitors, we expect that re-purposing them for TB treatment should translate more readily and rapidly to the clinic. Thus, the work supports further development of this host-directed therapy approach to augment current TB treatment.

Indexed as

Antineoplastic AgentsAntitubercular AgentsDrug RepositioningMycobacterium tuberculosisMyeloid Cell Leukemia Sequence 1 ProteinProto-Oncogene Proteins c-bcl-2TuberculosisAnimalsHumansMacrophagesMiceAntineoplastic AgentsAntitubercular AgentsMyeloid Cell Leukemia Sequence 1 ProteinProto-Oncogene Proteins c-bcl-2ApoptosisDrug resistant tuberculosisGranulomaHost-directed therapyMacrophageTuberculosis

Identifiers

PMID37864894
PMCPMC10841846
OpenAlexW4387792752

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.