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Record W2056577403 · doi:10.1002/nau.21175

Expression of genes encoding smooth muscle contractile proteins in vaginal tissue of women with and without pelvic organ prolapse

2011· article· en· W2056577403 on OpenAlexaff
Maria Augusta Tezelli Bortolini, Oksana Shynlova, Harold P. Drutz, Rodrigo Aquino Castro, Manoel Joâo Batista Castello Girão, Stephen J. Lye, May Alarab

Bibliographic record

VenueNeurourology and Urodynamics · 2011
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineAsymptomaticVaginaGene expressionMenopauseTropomyosinPelvic floorBiopsyInternal medicineGynecologyMyosinPhysiologyObstetricsGeneEndocrinologyGastroenterologyAnatomyBiology

Abstract

fetched live from OpenAlex

AIMS: We hypothesize that the expression of genes encoding vaginal smooth muscle (SM) contractile proteins is altered in patients with pelvic organ prolapse (POP) and is influenced by age and menopausal status. We aim to analyze the expression of SM-myosin heavy chain (MHY11), caldesmon (CALD1), SM gamma-actin (ACTG2), and tropomyosin (TPM1), in premenopausal and postmenopausal women with advanced POP and asymptomatic controls. METHODS: During total hysterectomy we collected anterior vaginal wall biopsy samples from 55 women, 37 premenopausal (23 patients and 14 controls), and 18 postmenopausal women (13 patients and 5 controls). Total mRNA from the tissues was quantified by real-time RT-PCR. RESULTS: MHY11 gene expression was down-regulated in premenopausal POP patients compared to premenopausal controls (fivefold, P = 0.002). In the postmenopausal groups, we observed a sixfold increase in the CALD1 gene expression in POP patients compared to asymptomatic controls (P = 0.03). The gene expression of CALD1, ACTG2, and TPM1 was significantly down-regulated in vaginal tissue of healthy women after menopause (P < 0.05). CONCLUSION: Dysregulation of the vaginal SM content in POP patients involves alteration of different cellular pathways according to age and menopausal status.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.234
Teacher spread0.224 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2011
Admission routes1
Has abstractyes

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