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Record W4224304658 · doi:10.1101/2022.04.07.487539

The <i>Streptococcus pyogenes</i> hyaluronic acid capsule promotes experimental nasal and skin infection by preventing neutrophil-mediated clearance

2022· preprint· en· W4224304658 on OpenAlexafffund
Jacklyn R. Hurst, Blake A. Shannon, Heather C. Craig, Stephen W. Tuffs, John K. McCormick

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsLawson Health Research InstituteWestern University
FundersCanadian Institutes of Health Research
KeywordsStreptococcus pyogenesMicrobiologyBiologyImmunologyEx vivoHyaluronic acidPathogenIn vivoPhagocytosisSkin infectionHuman skinBacterial capsuleVirulenceBacteriaStaphylococcus aureusAnatomy

Abstract

fetched live from OpenAlex

ABSTRACT Streptococcus pyogenes is a globally prominent human-specific pathogen responsible for an enormous burden of human illnesses, including >600 million pharyngeal and >100 million skin infections each year. Despite intensive efforts that focus on invasive indications, much remains unknown about this bacterium in its natural state during colonization of the nasopharynx and skin. Using acute experimental infection models in HLA-transgenic mice, we evaluated how the hyaluronic acid (HA) capsule contributes to S. pyogenes MGAS8232 infection within these limited biological niches. Herein, we demonstrate that HA capsule expression promotes bacterial burden in murine nasal turbinates and skin lesions by resisting neutrophil-mediated killing. HA capsule production is encoded by the hasABC operon and compared to wildtype S. pyogenes infections, mice infected with a Δ hasA mutant exhibited over a 1000-fold CFU reduction at 48-hours post­nasal challenge, and a 10,000-fold CFU reduction from skin lesions 72-hours post-skin challenge. HA capsule expression contributed substantially to skin lesion size development following subdermal inoculations. In the absence of capsule expression, S. pyogenes revealed drastically impeded growth in whole human blood and increased susceptibility to killing by isolated neutrophils ex vivo , highlighting its important role in resisting phagocytosis. Furthermore, we establish that neutrophil depletion in mice, but not macrophage depletion, recovered the reduced burden by the Δ hasA mutant in both the nasopharynx and skin. Together, this work confirms that the HA capsule is a key virulence determinant during acute infections by S. pyogenes and demonstrates that its predominant function is to protect S. pyogenes against neutrophil-mediated killing. AUTHOR SUMMARY Streptococcus pyogenes is a globally disseminated and human-adapted bacterial pathogen that has evolved an arsenal of evasion strategies to overcome and escape host immune clearing mechanisms. Many strains of S. pyogenes are covered by a polysaccharide capsule composed of hyaluronic acid (HA) that is widely recognized to promote severe infections. In this study, we demonstrate using the encapsulated S. pyogenes MGAS8232 strain that the HA capsule is a key virulence factor that facilitates non-invasive infections of the nasopharynx and skin. Although bacterial adhesion and entry into host cells was impeded by HA capsule expression, we show that the key function for both nasal and skin infections is to protect S. pyogenes from neutrophil-mediated killing. Depletion of neutrophils, but not macrophages, recovered the low bacterial burden by unencapsulated S. pyogenes at both sites of infection. Our findings outline an important interaction between the HA capsule and neutrophils in the establishment of acute upper respiratory and skin infections by S. pyogenes .

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.242
Teacher spread0.232 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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