Genetic models of latent tuberculosis in mice reveal differential influence of adaptive immunity.

TitleGenetic models of latent tuberculosis in mice reveal differential influence of adaptive immunity.
Publication TypeJournal Article
Year of Publication2021
AuthorsSu H, Lin K, Tiwari D, Healy C, Trujillo C, Liu Y, Ioerger TR, Schnappinger D, Ehrt S
JournalJ Exp Med
Volume218
Issue9
Date Published2021 Sep 06
ISSN1540-9538
KeywordsAdaptive Immunity, Animals, Antitubercular Agents, BCG Vaccine, Carbon-Nitrogen Ligases, Dexamethasone, Disease Models, Animal, Female, Gene Expression Regulation, Bacterial, Latent Tuberculosis, Lung, Mice, Mice, Inbred C57BL, Mycobacterium tuberculosis, Reproducibility of Results, Thioredoxin Reductase 2, Tuberculosis
Abstract

Studying latent Mycobacterium tuberculosis (Mtb) infection has been limited by the lack of a suitable mouse model. We discovered that transient depletion of biotin protein ligase (BPL) and thioredoxin reductase (TrxB2) results in latent infections during which Mtb cannot be detected but that relapse in a subset of mice. The immune requirements for Mtb control during latency, and the frequency of relapse, were strikingly different depending on how latency was established. TrxB2 depletion resulted in a latent infection that required adaptive immunity for control and reactivated with high frequency, whereas latent infection after BPL depletion was independent of adaptive immunity and rarely reactivated. We identified immune signatures of T cells indicative of relapse and demonstrated that BCG vaccination failed to protect mice from TB relapse. These reproducible genetic latency models allow investigation of the host immunological determinants that control the latent state and offer opportunities to evaluate therapeutic strategies in settings that mimic aspects of latency and TB relapse in humans.

DOI10.1084/jem.20210332
Alternate JournalJ Exp Med
PubMed ID34269789
PubMed Central IDPMC8289691
Grant ListU19 AI111143 / AI / NIAID NIH HHS / United States
U19 AI162568 / AI / NIAID NIH HHS / United States
U19 AI111143 / NH / NIH HHS / United States

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