Evidence map›Paper›PMID 24855121›Full record

ArticleThe Journal of antimicrobial chemotherapy2014

Simvastatin increases the in vivo activity of the first-line tuberculosis regimen.

Ciaran Skerry, Michael L Pinn, Natalie Bruiners, Richard Pine, Maria L Gennaro, Petros C Karakousis

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

75 citing papers in PubMed, 113 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. A dual role for PGLYRP1 in host defense and immune regulation duringbioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Statins, Allies against Antibiotic Resistance?Current medicinal chemistry · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Metabolic Rewiring ofMetabolites · 2024
    Review
  14. Review
  15. Review
  16. Virulence · 2023
    Article
  17. Review
  18. Review
  19. Review
  20. Review

15 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

6 authors at 3 institutions in 1 country.

Ciaran SkerryCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Michael L PinnCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Natalie BruinersPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, USA.
Richard PinePublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, USA.
Maria L GennaroPublic Health Research Institute, Rutgers New Jersey Medical School, Newark, NJ, USA.
Petros C KarakousisCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA petros@jhmi.edu.
Rutgers New Jersey Medical SchoolJohns Hopkins Medicine · USJohns Hopkins University · US

Funding

Mapping and modeling host-pathogen interactions in TB latency and reactivationR01HL106788 · NHLBI · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI BALAZSI, GABOR, GENNARO, MARIA LAURA · 2010 to 2013
$3.1M
A Multidisciplinary Approach to Understanding TB Latency and ReactivationR01HL106786 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BADER, JOEL S., KARAKOUSIS, PETROS C · 2010 to 2013
$3.1M
Regulatory networks involved in Mycobacterium tuberculosis persistenceR01AI083125 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KARAKOUSIS, PETROS C · 2009 to 2013
$2.7M
NHLBI NIH HHS R01 HL106786NHLBI NIH HHS R01 HL106788NIAID NIH HHS R01 AI083125
6 · The paper itself

Abstract

backgroundThe need to develop new, improved treatments for tuberculosis (TB) remains urgent, and the repurposing of existing drugs represents a possible shortcut to market. Recently, there has been significant interest in host-directed adjuvant therapy to enhance bacillary killing. HMG-CoA reductase inhibitors (statins), which are among the most commonly prescribed drugs, have immunomodulatory properties and improve the clinical outcomes of bacterial infections.

methodsWe studied the tuberculocidal activity of simvastatin alone and in combination with first-line anti-TB drugs in J774 macrophages and during chronic TB infection.

resultsExposure to 5 μM simvastatin significantly increased the tuberculocidal activity of isoniazid in J774 macrophages at Day 3 after infection versus isoniazid alone (P=0.02). Similarly, relative to the standard oral regimen of rifampicin (10 mg/kg), isoniazid (10 mg/kg) and pyrazinamide (150 mg/kg) given five times weekly, the addition of 25 mg/kg simvastatin enhanced bacillary killing, reducing the number of lung cfu by an additional 1 log10 at Day 28 (P<0.01) and by a further 1.25 log10 at Day 56 (P<0.01).

conclusionsThe potential additive activity of simvastatin to first-line TB treatment holds promise. However, further studies to identify the optimal statin and dosing are required. In addition the ability of combination treatment with statins to accelerate the time required to achieve a stable cure remains to be explored.

Indexed as

Drug SynergismAnimalsAntitubercular AgentsBacterial LoadCell LineColony Count, MicrobialDisease Models, AnimalDrug Therapy, CombinationFemaleIsoniazidLungMacrophagesMice, Inbred BALB CPyrazinamideRifampinSimvastatinAntitubercular AgentsIsoniazidPyrazinamideRifampinSimvastatinlipidsmicestatinsTB

Identifiers

PMID24855121
PMCPMC4184365
OpenAlexW2171420593

What OpenQuestion holds

Textmetadata
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.