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Record W4315767629 · doi:10.1101/2023.01.11.523669

Uptake-independent killing of macrophages by extracellular aggregates of <i>Mycobacterium tuberculosis</i> is ESX-1 and PDIM-dependent

2023· preprint· en· W4315767629 on OpenAlexafffund
Chiara Toniolo, Neeraj Dhar, John D. McKinney

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of Saskatchewan
FundersEuropean CommissionÉcole Polytechnique Fédérale de LausanneInnovation SaskatchewanSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsExtracellularSecretionMicrobiologyPhagocytosisIntracellularMycobacterium tuberculosisMacrophageBiologyCell biologyChemistryTuberculosisBiochemistryIn vitroMedicine

Abstract

fetched live from OpenAlex

Abstract Mycobacterium tuberculosis ( Mtb ) infection is initiated by inhalation of small numbers of bacteria into lung alveoli, where they are phagocytosed by resident macrophages. Intracellular replication of Mtb leads to death of the infected macrophages, release of bacterial aggregates, and rapid growth of the extracellular aggregates on host-cell debris. Here, we show that extracellular Mtb aggregates can evade phagocytosis by killing macrophages in a contact-dependent but uptake-independent manner. We use single-cell time-lapse fluorescence microscopy to show that contact with extracellular Mtb aggregates triggers macrophage plasma membrane perturbation, cytoplasmic calcium accumulation, and pyroptotic cell death. These effects depend on the Mtb type VII secretion system ESX-1, however, this system alone cannot induce calcium accumulation and macrophage death in the absence of the Mtb surface-exposed lipid phthiocerol dimycocerosate. Unexpectedly, we found that ESX-1-mediated secretion of the EsxA/EsxB virulence factors is not required for uptake-independent killing of macrophages after contact with extracellular Mtb aggregates. In the absence of EsxA/EsxB secretion, killing is mediated by the 50-kDa isoform of the ESX-1-secreted protein EspB, while blocking secretion of both EsxA/EsxB and processed EspB reduces killing to background levels. Treatment with a small-molecule ESX-1 inhibitor reduces uptake-independent killing of macrophages by Mtb aggregates, suggesting that novel therapies targeting this anti-phagocytic mechanism could prevent the propagation of extracellular bacteria within the lung. Significance statement Mycobacterium tuberculosis ( Mtb ) can survive inside the lung macrophages that normally provide the first line of defense against bacterial infections. Intracellular replication of Mtb ultimately results in the death and lysis of infected macrophages, allowing the bacteria to spread to other cells and propagate the infection. Our study shows that extracellular Mtb aggregates that form on the debris of dead host cells can induce macrophage death in a contact-dependent but uptake-independent manner, allowing the bacteria to evade the host defenses associated with uptake by macrophages. Killing of macrophages by extracellular Mtb aggregates is driven by the Mtb ESX-1 secretion system and the surface-exposed lipid phthiocerol dimycocerosate. Our results suggest that novel drugs targeting Mtb factors required for host-cell killing by extracellular Mtb aggregates may reduce bacterial spreading and expansion of necrotic tuberculosis lesions, which are known to be poorly penetrated by conventional antibiotics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.263
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

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