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MP03-10 EFFECT OF A BACTERIAL URINARY INFECTION ISOLATE ON CALCIUM OXALATE CRYSTAL ADHERENCE TO RENAL EPITHELIAL CELLS

2019· article· en· W2941227825 on OpenAlexaboutno aff
Jennifer Bjazevic, Kaitlin F. Al, Jaswanth Gorla, Hassan Razvi, Jeremy P. Burton

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCalcium oxalateUrinary systemCalciumOxalateMicrobiologyUrinary calciumUrologyInternal medicineInorganic chemistry

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyStone Disease: Basic Research & Pathophysiology I (MP03)1 Apr 2019MP03-10 EFFECT OF A BACTERIAL URINARY INFECTION ISOLATE ON CALCIUM OXALATE CRYSTAL ADHERENCE TO RENAL EPITHELIAL CELLS Jennifer Bjazevic*, Kaitlin F. Al, Jaswanth Gorla, Hassan Razvi, and Jeremy P. Burton Jennifer Bjazevic*Jennifer Bjazevic* More articles by this author , Kaitlin F. AlKaitlin F. Al More articles by this author , Jaswanth GorlaJaswanth Gorla More articles by this author , Hassan RazviHassan Razvi More articles by this author , and Jeremy P. BurtonJeremy P. Burton More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000554942.41700.d3AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: There is growing evidence to support a role of urinary bacteria in the development of calcium stone disease; however, the mechanisms by which urinary bacteria may influence calcium stone formation remain to be elucidated. Both osteopontin (OPN) and zinc (Zn) have been shown to play a role in calcium oxalate (CaOx) urolithiasis and have also been demonstrated to be involved in bacterial pathogenesis. We aimed to examine the effect of non-urease producing bacteria isolated from a urinary tract infection, as well as both OPN and Zn, on the adherence of calcium oxalate crystals to renal epithelial cells. METHODS: HEK293 and MDCK renal epithelial cells were grown to 90% confluence on culture plates. Cells were exposed to a non-urease producing strain of Escherichia coli (UTI89) for 20 minutes at 37C (103 CFU). The cells were then incubated with CaOx crystal suspension (0.5mg/mL) in artificial urine with or without the addition of OPN (0.1 μg/ml) or zinc chloride (500 μg/L), for 20 minutes at 37C. Unattached crystals were washed free with culture media. The adherence of calcium oxalate crystals was determined with birefringence microscopy and quantified by pixel intensity with MatLab. RESULTS: Microscopy following treatment exposure revealed live cells in all treatment groups, and bacterial rods visible in groups treated with UTI89. In the MDCK cells, exposure to UTI89 significantly increased crystal adherence (p<0.001, FIgure 1). Exposure to OPN and Zn were noted to have opposite effects in UTI89 treated cells, resulting in attenuated and enhanced crystal adherence respectively (p<0.001, Figure 1). Similar trends were observed in the HEK293 cells; however, these results did not reach statistical significance. CONCLUSIONS: These findings suggest that non-urease producing E. coli impacts CaOx crystal adherence, and both Zn and OPN may have a novel role in this process. While Zn and OPN have previously been shown to be involved in both CaOx urolithiasis and bacterial pathogenesis; further investigation is required in order to delineate the potential mechanisms by which urinary pathogens alter crystal adherence, and the precise role that both Zn and OPN may play in this process. Source of Funding: AUA Urology Care Foundation Research Scholar Award London, Canada© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e24-e24 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jennifer Bjazevic* More articles by this author Kaitlin F. Al More articles by this author Jaswanth Gorla More articles by this author Hassan Razvi More articles by this author Jeremy P. Burton More articles by this author Expand All Advertisement PDF downloadLoading ...

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 score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.003

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 head0.013
GPT teacher head0.282
Teacher spread0.270 · 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
Published2019
Admission routes1
Has abstractyes

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