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Record W3180287097 · doi:10.1101/2021.07.07.447795

Protease activities of vaginal <i>Porphyromonas</i> species disrupt coagulation and extracellular matrix in the cervicovaginal niche

2021· preprint· en· W3180287097 on OpenAlexafffund
Karen Lithgow, Vienna Buchholz, Emily Ku, Shaelen Konschuh, Ana D’Aubeterre, Laura K. Sycuro

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2021
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersCanadian Institutes of Health ResearchUniversity of CalgaryAlberta InnovatesInternational Microbiome Centre, University of CalgaryNational Institutes of HealthGovernment of Alberta
KeywordsPorphyromonas gingivalisBiologyMicrobiologyProteasesBacteriaBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Porphyromonas asaccahrolytica and Porphyromonas uenonis are frequently isolated from the human vagina and are linked to bacterial vaginosis and preterm labour. However, little is known about the pathogenesis mechanisms of these bacteria. The related oral opportunistic pathogen, Porphyromonas gingivalis, is comparatively well-studied and known to secrete numerous extracellular matrix-targeting proteases. Among these are the gingipain family of cysteine proteases that drive periodontal disease progression and hematogenic transmission to the placenta. Given their phylogenetic relatedness, we hypothesized that vaginal Porphyromonas species possess gingipain-like protease activity targeting host extracellular matrix in the female reproductive tract. In this study, we demonstrate that vaginal Porphyromonas species degrade type I collagen (cervix), type IV collagen (chorioamnion/placenta), and fibrinogen, but not through the activity of gingipain orthologs. Bioinformatic queries identified 5 candidate collagenases in each species, including serine, cysteine and metalloproteases, with signal peptides directing them to the extracellular environment. Inhibition assays revealed both species secrete metalloproteases that degrade collagen and casein, while P. asaccharolytica also secretes a metalloprotease that degrades fibrinogen. Phylogenetic analysis of the predicted collagen-degrading metalloprotease revealed an orthologous relationship with the P. gingivalis endopeptidase PepO. Cloning and expression of P. asaccharolytica PepO confirmed this protein’s collagenase and caseinase activities, which have not previously been attributed to PepO homologs in other bacteria. Altogether, this description of the first known virulence factor in Porphyromonas species colonizing the human vagina sheds light on their potential to alter the structural integrity and homeostasis of reproductive tissues. Importance Porphyromonas species are common inhabitants of the vaginal microbiome, but their presence has been liked to adverse health outcomes for women, including bacterial vaginosis and preterm birth. We determined that P. asaccharolytica and P. uenonis secrete broad-acting proteases capable of freely diffusing within the cervicovaginal niche and degrading important components of host tissues, namely the extracellular matrix. We show that secreted Porphyromonas proteases degrade collagens that are enriched within the cervix (type I) and chorioamniotic membranes (type IV). Furthermore, these Porphyromonas proteases can also degrade fibrinogen and inhibit clot formation. These activities can be partially attributed to a metalloprotease that exhibits broad-acting protease activity and is distantly related to the P. gingivalis endopeptidase PepO. This initial characterization of virulence activities in vaginal Porphyromonas species highlights their potential to harm human pregnancy through clotting disruption, fetal membrane weakening, and premature cervical remodeling.

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 score0.003

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 head0.019
GPT teacher head0.256
Teacher spread0.237 · 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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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