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Record W4415445943 · doi:10.3390/antiox14111271

Deoxycholic Acid Impairs Human Sperm Quality and Function Through Oxidative Stress-Driven Damage

2025· article· en· W4415445943 on OpenAlexafffund
Steven Serafini, Elizabeth Pranov, Chika Onochie, Cristián O’Flaherty

Bibliographic record

VenueAntioxidants · 2025
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsOxidative stressSpermCapacitationSemenAcrosome reactionSperm motilityDeoxycholic acidMale infertility

Abstract

fetched live from OpenAlex

Infertility is a growing global health concern, with male infertility contributing to nearly half of all cases. While conventional semen analysis often overlooks functional impairments, oxidative stress has emerged as a key factor affecting sperm quality. Notably, oxidative stress is elevated in obesity, a rising epidemic affecting more than 1 in 8 people worldwide. This study examines the role of deoxycholic acid (DCA), a secondary bile acid that is elevated in obesity, and its potential to induce oxidative stress and impair sperm function. Semen samples from healthy donors were incubated with DCA, and its effects on sperm motility, viability, capacitation, and oxidative stress markers were assessed. Sperm motility and viability were evaluated using computer-assisted semen analysis (CASA) and hypo-osmotic swelling (HOS) tests, while sperm capacitation was measured via tyrosine phosphorylation (P-Tyr) and acrosome reaction (AR). Oxidative stress markers were quantified using flow cytometry. While progressive motility and viability remained unchanged, DCA reduced hyperactive motility, P-Tyr, and acrosome reaction and increased oxidative stress markers in spermatozoa. These findings suggest that secondary bile acids can disrupt sperm function through oxidative mechanisms, affecting non-conventional semen parameters that may go undetected in standard analyses. This underscores the gut-testis axis's role in male infertility and highlights the need for more comprehensive diagnostics and targeted therapies.

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 score0.360
Threshold uncertainty score0.677

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 head0.039
GPT teacher head0.351
Teacher spread0.311 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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