Evidence map›Paper›PMID 35311519›Full record

ArticleAntimicrobial agents and chemotherapy2022

Combination of Mycobacterium tuberculosis RS Ratio and CFU Improves the Ability of Murine Efficacy Experiments to Distinguish between Drug Treatments.

Christian Dide-Agossou, Allison A Bauman, Michelle E Ramey, Karen Rossmassler, Reem Al Mubarak, Samantha Pauly, Martin I Voskuil, Maria Garcia-Cremades, Rada M Savic, Payam Nahid and 5 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07018076 (Candidate Clinical Correlate of Prognostic Outcome for TB Study), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 11% 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.

NCT07018076 recruitingnot on this mapstarted 2025, after this paper: background citation

Candidate Clinical Correlate of Prognostic Outcome for TB Study

TypeobservationalSponsorUniversity of California, San FranciscoRan2025 to 2027Enrolled750ConditionsTuberculosisArmsRS ratio, Blood-based host immune response assays
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Article
  7. REVOLUTIONIZING TUBERCULOSIS REGIMEN DEVELOPMENT.Transactions of the American Clinical and Climatological Association · 2025
    Review
  8. Article
  9. Article
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  11. Mathematical modeling suggests heterogeneous replication ofbioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Tools to develop antibiotic combinations that target drug tolerance inFrontiers in cellular and infection microbiology · 2022
    Review
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

15 authors at 7 institutions in 2 countries.

Christian Dide-AgossouDepartment of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA.ORCID 0000-0001-9854-1785
Allison A BaumanMycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State Universitygrid.47894.36, Fort Collins, Colorado, USA.
Michelle E RameyMycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State Universitygrid.47894.36, Fort Collins, Colorado, USA.
Karen RossmasslerRocky Mountain Regional VA Medical Center, Aurora, Colorado, USA.
Reem Al MubarakRocky Mountain Regional VA Medical Center, Aurora, Colorado, USA.
Samantha PaulyRocky Mountain Regional VA Medical Center, Aurora, Colorado, USA.
Martin I VoskuilDepartment of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Maria Garcia-CremadesDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.
Rada M SavicConsortium for Applied Microbial Metrics, Aurora, Colorado, USA.ORCID 0000-0003-3143-5579
Payam NahidConsortium for Applied Microbial Metrics, Aurora, Colorado, USA.
Camille M MooreDivision of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado, USA.
Rokeya TasneenCenter for Tuberculosis Research, Johns Hopkins Universitygrid.21107.35, Baltimore, Maryland, USA.
Eric L NuermbergerCenter for Tuberculosis Research, Johns Hopkins Universitygrid.21107.35, Baltimore, Maryland, USA.ORCID 0000-0003-1440-9889
Gregory T RobertsonMycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State Universitygrid.47894.36, Fort Collins, Colorado, USA.ORCID 0000-0001-7157-4034
Nicholas D WalterRocky Mountain Regional VA Medical Center, Aurora, Colorado, USA.
University of Colorado Anschutz Medical Campus · USColorado State University · USJohns Hopkins University · USUniversity of California, San Francisco · USColorado School of Public Health · USNational Jewish Health · USUniversidad Complutense de Madrid · ES

Funding

Sputum Transcriptomic Expression Profiling in Study 31: Express 31R01AI127300 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DAVIS, JOHN LUCIAN, NAHID, PAYAM · 2017 to 2022
$6.2M
Identifying Optimal Treatment Strategies for Tuberculosis TreatmentR01AI135124 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ALLAND, DAVID, SAVIC, RADOJKA · 2019 to 2023
$3.8M
Precursor-rRNA profiling as a measure of drug activity in tuberculosisR21AI135652 · NIAID · UNIVERSITY OF COLORADO DENVER · PI VOSKUIL, MARTIN INUA, WALTER, NICHOLAS D · 2018 to 2019
$435k
Impact of Sterilizing and Non-sterilizing Antibiotics on M. tuberculosis rRNA SynthesisI01BX004527 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI WALTER, NICHOLAS D · 2020 to 2023
–
Blood Expression Profiles as a Biomarker for Responses to Tuberculosis TreatmentIK2CX000914 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI WALTER, NICHOLAS D · 2014 to 2018
–
BLRD VA I01 BX004527CSRD VA IK2 CX000914NIAID NIH HHS R01 AI127300NIAID NIH HHS R01 AI135124NIAID NIH HHS R21 AI135652
6 · The paper itself

Abstract

Murine tuberculosis drug efficacy studies have historically monitored bacterial burden based on CFU of Mycobacterium tuberculosis in lung homogenate. In an alternative approach, a recently described molecular pharmacodynamic marker called the RS ratio quantifies drug effect on a fundamental cellular process, ongoing rRNA synthesis. Here, we evaluated the ability of different pharmacodynamic markers to distinguish between treatments in three BALB/c mouse experiments at two institutions. We confirmed that different pharmacodynamic markers measure distinct biological responses. We found that a combination of pharmacodynamic markers distinguishes between treatments better than any single marker. The combination of the RS ratio with CFU showed the greatest ability to recapitulate the rank order of regimen treatment-shortening activity, providing proof of concept that simultaneous assessment of pharmacodynamic markers measuring different properties will enhance insight gained from animal models and accelerate development of new combination regimens. These results suggest potential for a new era in which antimicrobial therapies are evaluated not only on culture-based measures of bacterial burden but also on molecular assays that indicate how drugs impact the physiological state of the pathogen.

Indexed as

Mycobacterium tuberculosisTuberculosisAnimalsAntitubercular AgentsDisease Models, AnimalDrug Therapy, CombinationLungMiceMice, Inbred BALB CAntitubercular Agents16S rRNA burdenantimicrobial therapiesBALB/c relapse modelsCFUdrug efficacymurine drug experimentspharmacodynamic markerrRNARS ratio

Identifiers

PMID35311519
PMCPMC9017352
OpenAlexW4221063154

What OpenQuestion holds

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Registered trials

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.