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Record W4327980609 · doi:10.1080/27694127.2023.2191918

Survival of intracellular pathogens in response to mTORC1- or TRPML1-TFEB-induced xenophagy

2023· article· en· W4327980609 on OpenAlexafffund
Mariana Capurro, Akriti Prashar, Xiao‐Dong Gao, Nicola L. Jones

Bibliographic record

VenueAutophagy Reports · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalcium signaling and nucleotide metabolism
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersSickkids Research InstituteCanadian Institutes of Health ResearchHospital for Sick ChildrenUniversity of TorontoVanderbilt University
KeywordsTFEBIntracellularmTORC1BiologyCell biologyAutophagyPI3K/AKT/mTOR pathwayGeneticsSignal transductionApoptosis

Abstract

fetched live from OpenAlex

Intracellular pathogens establish persistent infections by generating reservoirs that protect them from the action of antibiotics and the host immune response. Novel therapeutics should then target the host pathways exploited by the pathogens to form these intracellular niches. An attractive strategy to achieve this is inducing xenophagy, the selective autophagy that recognizes and targets invading pathogens for degradation. However, some bacteria have evolved mechanisms to co-opt xenophagy for their own benefit. Therefore, in this study we determine the effect of inducing xenophagy by different pathways, namely the inhibition of MTOR or through TRPML1-TFEB activation, on the fate of pathogens that are either susceptible to, evade or require autophagy for intracellular survival. We identified a dose of rapamycin that exclusively induces autophagy through MTOR inhibition and used ML-SA1 to activate the TRPML1-TFEB pathway, which also increases lysosomal biogenesis. We found that ML-SA1 induced greater autophagy flux than rapamycin. By performing in vitro infections with H. pylori, S. Typhimurium, S. flexneri, L. monocytogenes and S. aureus, we established that ML-SA1 had a more potent effect than rapamycin in restricting the growth of pathogens susceptible to xenophagy. In the case of pathogens that produce effectors to block xenophagy, ML-SA1, but not rapamycin, resulted in bacterial killing. During S. aureus infection, which depends on autophagy for intracellular survival, ML-SA1 administration potentiated bacterial growth. We suggest that while targeting the xenophagy pathway holds promise for treatment of intracellular pathogens, a precision approach to select the correct target to induce effective bacterial killing is warranted.Abbreviations: 3-MA: 3-methyladenine, ATG: autophagy-related protein, Baf: bafilomycin A1; Ca2+: calcium, CFU: colony-forming units, DMSO: dimethyl sulfoxide, h: hour, Hp: Helicobacter pylori, hpi: hours post-infection, Lamp1: lysosomal-associated membrane protein 1, LC3: microtubule-associated protein 1A/1B-light chain, Lm: Listeria monocytogenes, LSD: lysosomal storage disorder, min: minutes, mTOR: mechanistic target of rapamycin; mTORC1: mechanistic target of rapamycin complex 1, MEF: mouse embryonic fibroblast, μM: micromolar, moi: multiplicity of infection, nM: nanomolar, OD: optical density, PBS: phosphate buffer saline, Sa: Staphylococcus aureus, SCV: Salmonella containing vacuole, Sifs: Salmonella-induced filaments, Sf: Shigella flexneri, SLAPs: Spacious Listeria containing phagosomes, St: Salmonella Typhimurium TFEB: transcription factor EB, TRPML1: transient receptor potential membrane channel 1, VacA: vacuolating cytotoxin, wt: wild-type.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.054
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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 teacher head, 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

Citations4
Published2023
Admission routes2
Has abstractyes

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