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Record W4377246087 · doi:10.1093/jsxmed/qdad060.076

(080) Exploring the Effects of Actinidin as a Novel Collagenase on Human Peyronie’s Disease Cells

2023· article· en· W4377246087 on OpenAlexaffabout
K Feng, Wongsakorn Kiattiburut, Duane Hickling, Jeremy P. Burton, J. A. Campbell

Bibliographic record

VenueThe Journal of Sexual Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsLawson Health Research InstituteOttawa HospitalWestern University
Fundersnot available
KeywordsTunica albuginea (penis)CollagenaseFixativeChemistryPeyronie's diseaseSalineIn vitroCytotoxicityBiochemistryMedicineSurgeryEnzymePenisCytoplasmInternal medicine

Abstract

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Abstract Introduction Peyronie’s Disease (PD) is a connective tissue disorder of the penile tunica albuginea that affects approximately 10% of men. The plaques that hallmark PD contain excessive amounts of collagen and can result in penile curvature, painful erections, and/or erectile dysfunction. Intralesional Collagenase Clostridium histolyticum injection for PD are no longer available in Canada, making treatment options limited. Hayward kiwi fruit are rich in natural actinidin, a soluble enzyme that has the unique ability to hydrolyze various types of collagen and fibrinogen. Actinidin is considered a collagenase alternative; however, there have been no studies evaluating the application of actinidin on in vitro cellular PD models. Objective To determine the effectiveness of actinidin at reducing the collagen component of a 2D human PD cell model. Secondly, to determine the cytotoxicity of kiwifruit extract on human PD cells. Methods Human PD tissues obtained during penile prosthesis implantation were isolated for fibroblast cells and cultured using complete media. The cells were plated on a 96-well plate and treated with one of 4 treatment groups: media, saline, and low and high concentration actinidin treatment (0.5 mg/ml to 37.5 mg/ml). The actinidin treatments were prepared by dissolving freeze-dried kiwi powder in saline and then filtered; the low concentration was further diluted with saline. Cells were incubated at 37°C for 24 hours and then collagen was extracted and measured using a soluble collagen quantification assay kit and a fluorescent microplate reader. To measure cytotoxicity, cells were stained for the nucleus and actin filaments using DAPI and Phalloidin-conjugated FITC, respectively. A twelve-hour timelapse capturing images of FITC and DAPI fluorescein were carried through using a fluorescent confocal microscope. The total fluorescent area of each well was measured using ImageJ. Actin signals were normalized by DAPI signals, and all values were analyzed using Python and Prism10. Results The higher concentration of actinidin treatment significantly reduced cellular collagen of human PD fibroblasts compared to the media treatment (P < 0.05). The high concentration actinidin treatment had a significantly higher normalized actin signal than other treatment groups (P < 0.0001). This ratio allows us to observe the treated cells with compromised plasma membranes. The low concentration of actinidin did not have any significant difference from media and saline treatment groups. A significant increased level of normalized actin indicated that actinidin may have mechanisms to disturb the plasma membrane. Conclusions Our preliminary study suggests that the natural collagenase actinidin can break down PD cells by reducing the extracellular collagen content and compromising the cellular membrane. Further studies are underway to investigate treatment in 3D models and to determine the optimal actinidin concentration that can further reduce the collagen composition in human PD cell models. Actinidin has the potential to be a novel treatment option for patients suffering from PD. Disclosure Yes, this is sponsored by industry/sponsor: KiwiEnzyme.com Ltd Clarification No industry support in study design or execution

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 score0.007

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)0.0020.001

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 head0.149
GPT teacher head0.364
Teacher spread0.215 · 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
Published2023
Admission routes2
Has abstractyes

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