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Usage Information

Metabolites enhance innate resistance to human Mycobacterium tuberculosis infection
Deepak Tripathi, … , Vijaya Lakshmi Valluri, Ramakrishna Vankayalapati
Deepak Tripathi, … , Vijaya Lakshmi Valluri, Ramakrishna Vankayalapati
Published November 22, 2022
Citation Information: JCI Insight. 2022;7(22):e152357. https://doi.org/10.1172/jci.insight.152357.
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Research Article Immunology

Metabolites enhance innate resistance to human Mycobacterium tuberculosis infection

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Abstract

To determine the mechanisms that mediate resistance to Mycobacterium tuberculosis (M. tuberculosis) infection in household contacts (HHCs) of patients with tuberculosis (TB), we followed 452 latent TB infection–negative (LTBI–) HHCs for 2 years. Those who remained LTBI– throughout the study were identified as nonconverters. At baseline, nonconverters had a higher percentage of CD14+ and CD3–CD56+CD27+CCR7+ memory-like natural killer (NK) cells. Using a whole-transcriptome and metabolomic approach, we identified deoxycorticosterone acetate as a metabolite with elevated concentrations in the plasma of nonconverters, and further studies showed that this metabolite enhanced glycolytic ATP flux in macrophages and restricted M. tuberculosis growth by enhancing antimicrobial peptide production through the expression of the surface receptor sialic acid binding Ig-like lectin–14. Another metabolite, 4-hydroxypyridine, from the plasma of nonconverters significantly enhanced the expansion of memory-like NK cells. Our findings demonstrate that increased levels of specific metabolites can regulate innate resistance against M. tuberculosis infection in HHCs of patients with TB who never develop LTBI or active TB.

Authors

Deepak Tripathi, Kamakshi Prudhula Devalraju, Venkata Sanjeev Kumar Neela, Tanmoy Mukherjee, Padmaja Paidipally, Rajesh Kumar Radhakrishnan, Igor Dozmorov, Abhinav Vankayalapati, Mohammad Soheb Ansari, Varalakshmi Mallidi, Anvesh Kumar Bogam, Karan P. Singh, Buka Samten, Vijaya Lakshmi Valluri, Ramakrishna Vankayalapati

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Usage data is cumulative from November 2022 through February 2023.

Usage JCI PMC
Text version 2,417 30
PDF 403 12
Figure 431 0
Table 22 0
Supplemental data 129 0
Citation downloads 48 0
Totals 3,450 42
Total Views 3,492

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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