Evidence map›Paper›PMID 35134095›Full record

ArticlePLoS pathogens2022

Pharmacological and genetic activation of cAMP synthesis disrupts cholesterol utilization in Mycobacterium tuberculosis.

Kaley M Wilburn, Christine R Montague, Bo Qin, Ashley K Woods, Melissa S Love, Case W McNamara, Peter G Schultz, Teresa L Southard, Lu Huang, H Michael Petrassi and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Antimicrobial agents and chemotherapy · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. eLife · 2024
    Article
  10. Article
  11. Article
  12. Cyclic AMP-Mediated Inhibition of Cholesterol Catabolism inAntimicrobial agents and chemotherapy · 2023
    Article
  13. Article
  14. GSK2556286 Is a Novel Antitubercular Drug Candidate EffectiveAntimicrobial agents and chemotherapy · 2022
    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

11 authors at 2 institutions in 1 country.

Kaley M WilburnMicrobiology & Immunology, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0002-9007-3478
Christine R MontagueMicrobiology & Immunology, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0002-2769-6517
Bo QinCalibr, a division of The Scripps Research Institute, San Diego, California, United States of America.ORCID 0000-0001-5985-6100
Ashley K WoodsCalibr, a division of The Scripps Research Institute, San Diego, California, United States of America.
Melissa S LoveCalibr, a division of The Scripps Research Institute, San Diego, California, United States of America.ORCID 0000-0001-5835-3827
Case W McNamaraCalibr, a division of The Scripps Research Institute, San Diego, California, United States of America.
Peter G SchultzCalibr, a division of The Scripps Research Institute, San Diego, California, United States of America.
Teresa L SouthardBiomedical Sciences, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0001-8388-7951
Lu HuangMicrobiology & Immunology, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0002-7820-2177
H Michael PetrassiCalibr, a division of The Scripps Research Institute, San Diego, California, United States of America.
Brian C VanderVenMicrobiology & Immunology, Cornell University, Ithaca, New York, United States of America.
Scripps Research Institute · USCornell University · US

Funding

Preclinical evaluation of compounds that inhibit cholesterol uptake in M. tuberculosis.R01AI130018 · NIAID · CORNELL UNIVERSITY · PI VANDERVEN, BRIAN C · 2017 to 2021
$2.3M
Exploiting metabolic toxicities to identify compounds that inhibit cholesterol metabolism in M. TuberculosisR01AI119122 · NIAID · CORNELL UNIVERSITY · PI VANDERVEN, BRIAN C · 2015 to 2017
$1.2M
NIAID NIH HHS R01 AI119122NIAID NIH HHS R01 AI130018
6 · The paper itself

Abstract

There is a growing appreciation for the idea that bacterial utilization of host-derived lipids, including cholesterol, supports Mycobacterium tuberculosis (Mtb) pathogenesis. This has generated interest in identifying novel antibiotics that can disrupt cholesterol utilization by Mtb in vivo. Here we identify a novel small molecule agonist (V-59) of the Mtb adenylyl cyclase Rv1625c, which stimulates 3', 5'-cyclic adenosine monophosphate (cAMP) synthesis and inhibits cholesterol utilization by Mtb. Similarly, using a complementary genetic approach that induces bacterial cAMP synthesis independent of Rv1625c, we demonstrate that inducing cAMP synthesis is sufficient to inhibit cholesterol utilization in Mtb. Although the physiological roles of individual adenylyl cyclase enzymes in Mtb are largely unknown, here we demonstrate that the transmembrane region of Rv1625c is required during cholesterol metabolism. Finally, the pharmacokinetic properties of Rv1625c agonists have been optimized, producing an orally-available Rv1625c agonist that impairs Mtb pathogenesis in infected mice. Collectively, this work demonstrates a role for Rv1625c and cAMP signaling in controlling cholesterol metabolism in Mtb and establishes that cAMP signaling can be pharmacologically manipulated for the development of new antibiotic strategies.

Indexed as

Adenylyl CyclasesAnimalsBacterial ProteinsCholesterolCyclic AMPMiceMice, Inbred BALB CMycobacterium tuberculosisSignal TransductionTranscriptional ActivationAdenylyl CyclasesBacterial ProteinsCholesterolCyclic AMP

Identifiers

PMID35134095
PMCPMC8856561
OpenAlexW4220846738

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.