Evidence map›Paper›PMID 41279776›Full record

ArticlebioRxiv : the preprint server for biology2025

Strain diversity drives heterogeneous responses to tuberculosis combination therapy.

Michelle H Yoon, Peter H Culviner, Mariana Pereira Moraes, Hidetomi Nitta, Nguyen Thuy Thuong Thuong, Sarah M Fortune, Bree B Aldridge

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michelle H YoonDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.ORCID 0009-0001-0223-9942
Peter H CulvinerDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mariana Pereira MoraesDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.
Hidetomi NittaDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.
Nguyen Thuy Thuong ThuongOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Sarah M FortuneState University of New York Upstate Medical University, Syracuse, NY, USA.
Bree B AldridgeDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.ORCID 0000-0003-2236-1424

Funding

Surviving evolution: Short-term adaptations for fitnessP01AI143575 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI JAMES C SACCHETTINI · 2020 to 2026
$18.2M
Dissecting virulence gene regulatory pathways in M. tuberculosis clinical isolatesF32AI174653 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Peter H Culviner · 2024 to 2026
$248k
Gates Foundation INV-027276NIAID NIH HHS F32 AI174653NIAID NIH HHS P01 AI143575Wellcome Trust
6 · The paper itself

Abstract

Background: Strain diversity in Methods: Out of 641 drug-sensitive clinical isolates, we selected 13 strains that capture local and global phylogenetic diversity and included Erdman ATCC-35801 as a reference. We selected ten antibiotics with diverse mechanisms of action to study phenotypic responses to combination therapy. We treated each strain with 10 single drugs, 45 drug pairs, and 20 three-way combinations in standard and cholesterol-rich media. To compare combination treatment responses across strains and conditions that have varying doubling times, we computed normalized growth rate inhibition metrics (GR Findings: Mtb clinical strains displayed a broad range of drug response phenotypes across the 65 drug combinations and two metabolic conditions tested. The most effective drug pairs (based on potency and synergy) varied both by strain and metabolic condition. Within our 14-strain panel, strains that were less sensitive to single drugs were also less sensitive to combination treatment, with very few exceptions. For all drug combinations tested, the magnitude of GR Interpretation: Preclinical studies should reflect the diversity of Mtb clinical strains; our data suggest that selecting strains based on the range of drug response phenotypes displayed, rather than by genetic diversity alone, may better account for the effects of strain variation. Our findings also support the understanding that constituent drug pairs of high-order combinations target metabolically heterogeneous Mtb. Selection of these pairs should likely involve multiple factors including the infecting strain, metabolic niche, and drug response metrics. Funding: Gates Foundation INV-027276; NIH P01AI143575&1F32AI174653; Wellcome 206724/Z/17/Z.

Identifiers

PMID41279776
PMCPMC12632628

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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.