Evidence map›Paper›PMID 31075149›Full record

ArticlePloS one2019

Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs.

Daniel L Clemens, Bai-Yu Lee, Aleidy Silva, Barbara Jane Dillon, Saša Masleša-Galić, Susana Nava, Xianting Ding, Chih-Ming Ho, Marcus A Horwitz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
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  5. GEODE: anFrontiers in pharmacology · 2025
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  9. Clofazimine for the treatment of tuberculosis.Frontiers in pharmacology · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Daniel L ClemensDivision of Infectious Diseases, Department of Medicine, University of California, Los Angeles, California, United States of America.ORCID 0000-0003-0421-7306
Bai-Yu LeeDivision of Infectious Diseases, Department of Medicine, University of California, Los Angeles, California, United States of America.
Aleidy SilvaDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California, United States of America.ORCID 0000-0002-2426-281X
Barbara Jane DillonDivision of Infectious Diseases, Department of Medicine, University of California, Los Angeles, California, United States of America.
Saša Masleša-GalićDivision of Infectious Diseases, Department of Medicine, University of California, Los Angeles, California, United States of America.
Susana NavaDivision of Infectious Diseases, Department of Medicine, University of California, Los Angeles, California, United States of America.
Xianting DingMed-X Research Institute, School of Biomedical Engineering, Shianghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-1549-3499
Chih-Ming HoDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California, United States of America.ORCID 0000-0001-7369-5446
Marcus A HorwitzDivision of Infectious Diseases, Department of Medicine, University of California, Los Angeles, California, United States of America.
University of California, Los Angeles · USShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShorter, more effective treatments for tuberculosis (TB) are urgently needed. While many TB drugs are available, identification of the best regimens is challenging because of the large number of possible drug-dose combinations. We have found consistently that responses of cells or whole animals to drug-dose stimulations fit a parabolic response surface (PRS), allowing us to identify and optimize the best drug combinations by testing only a small fraction of the total search space. Previously, we used PRS methodology to identify three regimens (PRS Regimens I-III) that in murine models are much more effective than the standard regimen used to treat TB. However, PRS Regimens I and II are unsuitable for treating drug-resistant TB and PRS Regimen III includes an experimental drug. Here, we use PRS methodology to identify from an expanded pool of drugs new highly effective near-universal drug regimens comprising only approved drugs. METHODS AND

findingsWe evaluated combinations of 15 different drugs in a human macrophage TB model and identified the most promising 4-drug combinations. We then tested 14 of these combinations in Mycobacterium tuberculosis-infected BALB/c mice and chose for PRS dose optimization and further study the two most potent regimens, designated PRS Regimens IV and V, consisting of clofazimine (CFZ), bedaquiline (BDQ), pyrazinamide (PZA), and either amoxicillin/clavulanate (AC) or delamanid (DLM), respectively. We then evaluated the efficacy in mice of optimized PRS Regimens IV and V, as well as a 3-drug regimen, PRS Regimen VI (CFZ, BDQ, and PZA), and compared their efficacy to PRS Regimen III (CFZ, BDQ, PZA, and SQ109), previously shown to reduce the time to achieve relapse-free cure in mice by 80% compared with the Standard Regimen (isoniazid, rifampicin, PZA, and ethambutol). Efficacy measurements included early bactericidal activity, time to lung sterilization, and time to relapse-free cure. PRS Regimens III-VI all rapidly sterilized the lungs and achieved relapse-free cure in 3 weeks (PRS Regimens III, V, and VI) or 5 weeks (PRS Regimen IV). In contrast, mice treated with the Standard Regimen still had high numbers of bacteria in their lungs after 6-weeks treatment and none achieved relapse-free cure in this time-period.

conclusionsWe have identified three new regimens that rapidly sterilize the lungs of mice and dramatically shorten the time required to achieve relapse-free cure. All mouse drug doses in these regimens extrapolate to doses that are readily achievable in humans. Because PRS Regimens IV and V contain only one first line drug (PZA) and exclude fluoroquinolones and aminoglycosides, they should be effective against most TB cases that are multidrug resistant (MDR-TB) and many that are extensively drug-resistant (XDR-TB). Hence, these regimens have potential to shorten dramatically the time required for treatment of both drug-sensitive and drug-resistant TB. If clinical trials confirm that these regimens dramatically shorten the time required to achieve relapse-free cure in humans, then this radically shortened treatment has the potential to improve treatment compliance, decrease the emergence of drug resistance, and decrease the healthcare burden of treating both drug-sensitive and drug-resistant TB.

Indexed as

AnimalsAntitubercular AgentsArtificial IntelligenceDisease Models, AnimalDrug ApprovalDrug CombinationsDrug Dosage CalculationsDrug Evaluation, PreclinicalDrug Therapy, CombinationFemaleHumansMiceMice, Inbred BALB CMycobacterium tuberculosisTHP-1 CellsTreatment OutcomeAntitubercular AgentsDrug Combinations

Identifiers

PMID31075149
PMCPMC6510528
OpenAlexW2944134436

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.