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Sperm double-strand DNA breaks in patients with normozoospermia and pathozoospermia.

2023· article· en· W4386401727 on OpenAlexfundno aff
I. D. Kuzhal, O. V. Pribushenya, И.В. Наумчик, И. В. Курлович, Nadezhda I. Ryabokon

Bibliographic record

VenueDoklady of the National Academy of Sciences of Belarus · 2023
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
FundersInstitute of GeneticsNational Academy of Sciences of Belarus
KeywordsAsthenozoospermiaComet assayDouble strandSpermDNADNA damageMale infertilityPopulationMolecular biologyBiologyInfertilityChemistryGeneticsMedicine

Abstract

fetched live from OpenAlex

The levels of double-strand DNA breaks as a severe disruption of genome integrity were studied using the neutral version of the comet assay in the sperm samples of the men of the Belarusian population with normozoospermia and pathozoospermia, including asthenozoospermia, oligozoospermia, oligoasthenozoospermia, and other combined forms of pathozoospermia. It was demonstrated that double-strand DNA breaks have a large proportion (about 44–50 % on average) of the total number of DNA damage (singleand double-strand breaks, alkaline-labile sites, etc.) analyzed with the alkaline version of the comet assay recommended by the World Health Organization. Higher levels of sperm double-strand DNA breaks were established in the pathozoospermia group and in asthenozoospermia subgroup compared to the normozoospermia group. It was also shown that the levels of double-strand breaks observed at pathozoospermia correspond to the mutagenic effect in vitro of high concentrations (10–30 μg/ml) of bleomycin sulfate that acts as a strong radiomimetic, which points to a significant disruption of the DNA integrity at pathozoospermia. In general, the data obtained demonstrate the usefulness of the sperm double-strand DNA break analysis for male infertility diagnostics.

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)0.001
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 score0.002
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.284
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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