Evidence map›Paper›PMID 41174479›Full record

ArticleBMC genomics2025

Alveolar macrophage transcriptional signatures associated with resistance to TST/IGRA conversion following Mycobacterium tuberculosis exposure.

Austin M Haynes, Cristian Ovadiuc, Glenna J Peterson, William Worodria, Sophie Nalukwago, Timothy Muwanguzi, Mary Nsereko, Catherine M Stein, Kimberly A Dill-McFarland, Harriet Mayanja-Kizza and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 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

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

13 authors.

Austin M HaynesDepartment of Medicine, University of Washington, Seattle, WA, United States. austinhaynes137@gmail.com.
Cristian OvadiucInstitute for Public Health Genetics, School of Public Health, University of Washington, Seattle, WA, United States.
Glenna J PetersonDepartment of Medicine, University of Washington, Seattle, WA, United States.
William WorodriaDepartment of Medicine, School of Medicine, Makerere University, Kampala, Uganda.
Sophie NalukwagoUganda-CWRU Research Collaboration, Kampala, Uganda.
Timothy MuwanguziDepartment of Medicine, School of Medicine, Makerere University, Kampala, Uganda.
Mary NserekoDepartment of Medicine, School of Medicine, Makerere University, Kampala, Uganda.
Catherine M SteinDepartment of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States.
Kimberly A Dill-McFarlandDepartment of Medicine, University of Washington, Seattle, WA, United States.
Harriet Mayanja-KizzaDepartment of Medicine, School of Medicine, Makerere University, Kampala, Uganda.
W Henry BoomDepartment of Medicine, Case Western Reserve University, Cleveland, OH, United States.
R Max SegnitzDepartment of Medicine, University of Washington, Seattle, WA, United States.
Thomas R HawnDepartment of Medicine, University of Washington, Seattle, WA, United States. thawn@uw.edu.

Funding

Resistance to MTB infection in HIV infected individuals in Uganda and S. AfricaR01AI124348 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI BOOM, W. HENRY, HAWN, THOMAS R · 2016 to 2020
$11.3M
Epigenetic & Post-Translational Mechanisms of Macrophage Resistance to Mycobacterium tuberculosis During HIV Co-InfectionR33AI138272 · NIAID · UNIVERSITY OF WASHINGTON · PI BOOM, W. HENRY, HAWN, THOMAS R · 2020 to 2022
$3.4M
Bill and Melinda Gates Foundation OPP1151836NIH HHS R01AI124348NIH HHS R33AI138272
6 · The paper itself

Abstract

Despite heavy exposure to Mycobacterium tuberculosis (Mtb), some individuals are resistant to TST and IGRA conversion (RSTRs). The functional and immunological mechanisms governing resistance are poorly understood. We hypothesized that RSTR and LTBI alveolar macrophages (AMs) respond differently to Mtb infection with transcriptional programs that are distinct from peripheral blood monocytes. We examined media and Mtb-infected AMs from bronchoalveolar lavage fluid collected from a RSTR cohort in Uganda with over 10 years of clinical follow-up. With transcriptional profiles of BAL cells analyzed immediately after collection, gene set enrichment analysis (GSEA) revealed 13 differentially expressed gene sets between RSTR (n = 19) and LTBI (n = 26) groups, including one (Hallmark E2F targets) which was positively enriched in the RSTR group (FDR < 0.3). In a subset of this cohort (n = 7 RSTR and 8 LTBI), AMs were examined with and without Mtb infection. When comparing the RSTR and LTBI groups, we identified 52 DEGs including 22 in the media condition, 15 with Mtb stimulation, and 11 with the interaction term (FDR < 0.2, Log 2-fold change > 1/<-1). Notably, RSTR AMs appear to upregulate inflammation more strongly than LTBI counterparts, including Hallmark inflammatory response (FDR < 0.2), IFNγ response (FDR < 0.1), and IFNα response (FDR < 0.1) while existing in a more non-inflammatory state at baseline (Hallmark TNF signaling via NF-kB (down, FDR < 0.1), inflammatory response (down, FDR < 0.1). In a comparison of peripheral blood monocyte gene expression profiles from the same cohort, there were both shared and AM-specific RSTR profiles detected. Together, these results suggest that RSTR and LTBI AMs have different basal and Mtb-induced transcriptional profiles, including some that differ from peripheral blood monocytes.

Indexed as

Latent TuberculosisMacrophages, AlveolarMycobacterium tuberculosisTranscriptomeAdultDisease ResistanceFemaleGene Expression ProfilingHumansMaleAlveolar macrophagesResistersTranscriptomeTuberculosis

Identifiers

PMID41174479
PMCPMC12577112

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.