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Record W4283745817 · doi:10.1093/humrep/deac107.070

P-074 Sperm deoxyribonucleic acid integrity decreases with age and exhibits a rapid decline beyond the age of 35: a retrospective evaluation of 3446 semen samples

2022· article· en· W4283745817 on OpenAlexaff
Artak Tadevosyan, F Bissonnette, Armand Zini, Isaac Jacques Kadoch

Bibliographic record

VenueHuman Reproduction · 2022
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsMcGill UniversityUniversité de Montréal
Fundersnot available
KeywordsSemenSpermInfertilityAssisted reproductive technologyFertilityMedicineSemen analysisGynecologyAbstinenceLive birthRetrospective cohort studyDemographyObstetricsBiologyAndrologyPregnancyPopulationInternal medicineGenetics

Abstract

fetched live from OpenAlex

Abstract Study question Does advancing paternal age correlate with sperm DNA fragmentation index (DFI) and is there a cut-off age beyond which sperm DFI increases significantly? Summary answer In infertile men, DFI correlate with advancing paternal age and should be routinely screened starting 35 years of age. What is known already In recent decades, birth rates have substantially increased for men older than 30 years because of advanced age of marriage, rising life expectancy at birth, modern societal norms, and accessibility to assisted reproductive technology (ART). Advanced paternal age has been associated with a decline in conventional semen parameters (volume, concentration, motility, DFI), as well as, reduced fertility, increased risk of miscarriage, structural chromosomal aberrations and complex epigenetic disorders. Several studies have recommended testing sperm DFI in infertile men with advanced age (≥40 years) as it may provide prognostic information for couple attempting natural and assisted reproduction. Study design, size, duration This is a retrospective study of 3446 semen samples from patients under investigation for infertility between April 2016 and January 2022. Semen samples were obtained after 2-3 days of sexual abstinence. Patients were stratified into seven groups based on their age: patients ≤ 29 years (n = 127; 3.7%), 30-35 years (n = 868; 25.2%), 36-39 years (n = 863; 25.0%), 40-45 years (n = 1017, 29.5%), 46-49 years (n = 321; 9.3%), 50-55 years (n = 179, 5.2%) and ≥ 56 years (n = 71, 2.1%). Participants/materials, setting, methods Conventional semen parameters were assessed according to the WHO criteria and DFI was evaluated by TUNEL assay using the APODirect Kit run on BDAccuriC6 flow cytometer. Pearson’s r was used for correlation analysis between sperm concentration, DFI and paternal age. DFI results for each stratified patient group were evaluated by one-way ANOVA, followed by Tukey pos-hoc multiple comparison test. Results are presented as the mean±standard error and a P-value of < 0.05 was considered statistically significant. Main results and the role of chance In this cohort of men with a mean age of 39.5 years ± 0.1 (range 23-76 years), sperm deoxyribonucleic acid (DNA) fragmentation (21.1% ± 0.2) was positively correlated with age (r = 0.23, p˂0.001). In contrast, the correlation between sperm concentration and age was non-significant (r = 0.03, p = 0.07). Mean DFI in patients segregated into seven age groups were: ≤29 years (15.7% ± 0.8), 30-35 years (17.7% ± 0.4), 36-39 years (19.7% ± 0.4), 40-45 years (22.6% ± 0.4), 46-49 years (26.2% ± 0.9), 50-55 years (26.7% ± 1.2) and ≥ 56 years (31.1% ± 2.0). Mean %DFI level in the 26-29 and 30-35 age groups were non-significantly different (p = 0.65). However, mean %DFI level in the 36-39 age group was significantly higher than in the 26-29 and 30-35 age groups (p = 0.02 and p = 0.03, respectively). Mean %DFI level in the older age groups (40-45, 46-49, 50-55 and ≥ 56 years) were all significantly higher than in the 26-29 or 30-35 age groups (p˂0.001). Using a %DFI threshold level of 16.9%, 46.0% of patients ˂36, 52.2% of men aged 36-39, 60.2% of men aged 40-45, 67.3% of men aged 46-49, 72.6% of men aged 50-55 and 74.7% of men aged ≥56 years had an elevated DFI. Limitations, reasons for caution This is a retrospective analysis that did not account for confounding variables (e.g., clinical diagnosis, gonadotoxin exposure, febrile illness) that may affect conventional sperm parameters and DFI. Wider implications of the findings Our results underline the relationship between paternal age and sperm DFI and demonstrate a significant decline in sperm DNA fragmentation in men over the age of 35 years. The data suggest that we may want to reconsider the age cut-off we traditionally use to define advanced paternal age. Trial registration number No trial registration

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.058
GPT teacher head0.300
Teacher spread0.241 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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