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Record W2093626311 · doi:10.1515/bc.2009.094

Association between kallikrein-related peptidases (KLKs) and macroscopic indicators of semen analysis: their relation to sperm motility

2009· article· en· W2093626311 on OpenAlexaff
Nashmil Emami, Andreas Scorilas, Antoninus Soosaipillai, Tammy Earle, Brendan Mullen, Eleftherios P. Diamandis

Bibliographic record

VenueBiological Chemistry · 2009
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsSemenAndrologySpermSemen qualityKallikreinSperm motilityBiologyLiquefactionImmunologyChemistryMedicineBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Human kallikrein-related peptidases (KLKs) are a family of proteases, the majority of which are found in seminal plasma and have been implicated in semen liquefaction. Here, we examined the clinical value of seminal KLKs in the evaluation of semen quality and differential diagnosis and etiology of abnormal liquefaction and/or viscosity. KLK1-3, 5-8, 10, 11, 13, and 14 were analyzed, using highly specific ELISA assays. Samples were categorized into four clinical groups, according to their state of liquefaction and viscosity. Data were compared between the clinical groups and in association with other parameters of sperm quality, including number of motile sperms, straight line speed, sperm concentration, volume, pH, and patient age. Seminal KLKs were found to be differentially expressed in the four clinical groups. Combination of KLK2, 3, 13, and 14 and KLK1, 2, 5, 6, 7, 8, 10, 13, and 14 showed very strong discriminatory potential for semen liquefaction and viscosity, respectively. Liquefaction state was associated with several parameters of sperm motility. Finally, KLK14 was differentially expressed in asthenospermic cases. In conclusion, the expression level of several seminal plasma KLKs correlates with liquefaction and viscosity indicators of semen quality and may aid in their differential diagnosis and etiology.

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 score0.078
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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

Citations28
Published2009
Admission routes1
Has abstractyes

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