Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • Resource and Technical Advances
    • Clinical Medicine
    • Reviews
    • Editorials
    • Perspectives
    • Top read articles
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
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.
View: Text | PDF
Research Article Immunology

Metabolites enhance innate resistance to human Mycobacterium tuberculosis infection

  • Text
  • PDF
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

×

Figure 4

Siglec-14 reduces M. tuberculosis growth in MDMs through antimicrobial peptide production.

Options: View larger image (or click on image) Download as PowerPoint
Siglec-14 reduces M. tuberculosis growth in MDMs through antimicrobial p...
MDMs from LTBI– healthy donors were transfected with siRNA targeting CES-1, Siglec-14, RPS-26, RGCC1, and ANXA1 and control siRNA. The siRNA-transfected MDMs were infected with H37Rv at an MOI of 2.5. (A) After 5 days, the supernatant was aspirated, and the MDMs were lysed. The supernatant was centrifuged to pellet the bacteria, and the pellets were added to the cell lysates. The bacterial suspensions were ultrasonically dispersed, serially diluted, and plated in triplicate on 7H10 agar. The number of resultant colonies was counted after 3 weeks. The P values were determined by unpaired 2-tailed t test. The mean ± SD is shown. The means and SDs are shown for the number of CFUs per well. (B) The number of apoptotic MDMs was determined by flow cytometry. (C) The percentage of LC3+ MDMs was determined by flow cytometry. (D) Freshly prepared MDMs were infected with converter or nonconverter plasma opsonized or unopsonized M. tuberculosis H37Rv at an MOI of 2.5. The P values were determined by 1-way ANOVA with Tukey’s multiple comparisons test. Means, SDs, and P values are shown. (E) Control or Siglec-14 siRNA–transfected MDMs were infected with H37Rv at an MOI of 2.5. After 72 hours, RNA was isolated from MDMs, and a PCR array was performed for antimicrobial peptides. Data were normalized (z score) and centered using the Clustvis program. (F) CD14+Siglec-14+ and CD14+Siglec-14– cells were magnetically sorted from the PBMCs of healthy donors (n = 6). Sorted cells were infected with M. tuberculosis H37Rv at an MOI of 2.5. At 2 hours and 5 days postinfection, the number of bacterial colonies was determined as outlined above. (G) Freshly isolated PBMCs from LTBI– healthy donors (n = 3) were cultured in the presence or absence of γ-M. tuberculosis. After 72 hours, CD14+Siglec-14+ and CD14+Siglec-14– cells were sorted through magnetic labeling, and RNA was isolated. Quantitative real-time PCR was performed to determine the mRNA expression level of antimicrobial peptides. The P values were determined by 1-way ANOVA with Tukey’s multiple comparisons test. Mean values, SDs, and P values are shown.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts