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Record W4283700342 · doi:10.1101/2022.06.27.497883

The <i>Staphylococcus aureus</i> iron-regulated surface determinant A (IsdA) increases SARS CoV-2 replication by modulating JAK-STAT signaling

2022· preprint· en· W4283700342 on OpenAlexafffund
Mariya I. Goncheva, Richard M. Gibson, Ainslie C. Shouldice, Jimmy D. Dikeakos, David E. Heinrichs

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsWestern University
FundersSchulich School of Medicine and DentistryBritish Society for Antimicrobial Chemotherapy
KeywordsStaphylococcus aureusViral replicationBiologyJanus kinaseSTAT proteinMicrobiologyInterferonVirusVirologystatJAK-STAT signaling pathwaySignal transductionImmunologyBacteriaCytokineSTAT3Cell biologyTyrosine kinaseGenetics

Abstract

fetched live from OpenAlex

Abstract The emergence and spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) and the associated Coronavirus disease (COVID-19) pandemic have affected millions globally. Like other respiratory viruses, a significant complication of COVID-19 infection is secondary bacterial co-infection, which is seen in approximately 25% of severe cases. The most common organism isolated from co-infection is the Gram-positive bacterium Staphylococcus aureus . Here, we developed an in vitro co-infection model where both CoV-2 and S. aureus replication kinetics can be examined. We demonstrate CoV-2 infection does not alter how S. aureus attaches to or grows in host epithelial cells. In contrast, the presence of replicating S. aureus enhances the replication of CoV-2 by 10-15-fold. We identify this pro-viral activity is due to the S. aureus iron-regulated surface determinant A (IsdA) and this effect is mimicked across different SARS CoV-2 permissive cell lines infected with multiple viral variants. Analysis of co-infected cells demonstrated an IsdA dependent modification of host transcription. Using chemical inhibition, we determined S. aureus IsdA modifies host Janus Kinase – Signal Transducer and Activator of Transcription (JAK-STAT) signalling, ultimately leading to increased viral replication. These findings provide key insight into the molecular interactions that occur between host cells, CoV-2 and S. aureus during co-infection. Importance Bacterial co-infection is a common and significant complication of respiratory viral infection, including in patients with COVID-19, and leads to increased morbidity and mortality. The relationship between virus, bacteria and host is largely unknown, which makes it difficult to design effective treatment strategies. In the present study we created a model of co-infection between SARS CoV-2 and Staphylococcus aureus , the most common species identified in COVID-19 patients with co-infection. We demonstrate that the S. aureus protein IsdA enhances the replication of SARS CoV-2 in vitro by modulating host cell signal transduction pathways. The significance of this finding is in identifying a bacterial component that enhances CoV-2 pathogenesis, which could be a target for the development of co-infection specific therapy in the future. In addition, this protein can be used as a tool to decipher the mechanisms by which CoV-2 manipulates the host cell, providing a better understanding of COVID-19 virulence.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.025
GPT teacher head0.291
Teacher spread0.265 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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