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Record W2761431724 · doi:10.1093/humrep/dex288

Genomic fragmentation and extrachromosomal telomeric repeats impact assessment of telomere length in human spermatozoa: quantitative experiments and systematic review

2017· review· en· W2761431724 on OpenAlexaffabout
P Kurjanowicz, Sergey I. Moskovtsev, Clifford Librach

Bibliographic record

VenueHuman Reproduction · 2017
Typereview
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of TorontoCReATe Fertility CentreCanada Research Chairs
Fundersnot available
KeywordsBiologyGeneticsExtrachromosomal DNADNA extractionDNAgenomic DNAPopulationFertilityPlasmidPolymerase chain reactionGene

Abstract

fetched live from OpenAlex

STUDY QUESTION: Can differences in DNA isolation alter assessment of sperm telomere length (spTL) and do they account for conflicting results in the literature on spTL and male fertility? SUMMARY ANSWER: DNA isolation methods preferentially include or exclude short, extrachromosomal (EC) telomere-specific sequences that alter spTL measurements, and are responsible for a proportion of the disparity observed between investigations. WHAT IS KNOWN ALREADY: The relationship between spTL and male fertility has become an active area of research. The results across investigations, however, have been discordant, generating a need to critically evaluate the existing body of knowledge to guide future investigations. STUDY DESIGN, SIZE, DURATION: Quantitative experiments determined the effect of DNA isolation on the integrity of sperm DNA and measures of spTL, while a systematic analysis of the current literature evaluated the effect of DNA isolation and study design on experimental outcomes. PARTICIPANTS/MATERIALS, SETTING, METHODS: Two DNA isolation methods were compared: Genomic Tips which isolate 'High Molecular Weight' (HMW) DNA exclusively, and QIAamp® DNA Mini which isolates 'Total' genomic DNA irrespective of size. DNA quality was assessed via field inversion gel electrophoresis (FIGE) and spTL was measured via terminal restriction fragment analysis. In addition, major databases in medicine, health and the life sciences were subject to a targeted search, and results were independently screened according to defined exclusion/inclusion criterion. Findings from primary articles were analyzed for concordance and study designs were compared across six moderator variables (sample size, participant age, fertility status, semen fraction, telomere population and type of analysis). MAIN RESULTS AND THE ROLE OF CHANCE: HMW DNA spTL was significantly longer than spTL measured from total DNA (P < 0.01), indicating that Total DNA contained short, EC telomeric repeats that shifted downstream assessment towards shorter spTL. HMW DNA spTL reflected the length of intact, chromosomal telomeres. Major findings on spTL showed the greatest concordance amongst studies that implemented HMW DNA isolation prior to spTL assessment. Studies that utilized Total DNA varied in concordance, but outcomes were similar if (i) a comparative analysis was applied or (ii) a sample size threshold of 81 was achieved for correlative analysis. LIMITATIONS, REASONS FOR CAUTION: Chromosomal and EC telomeric DNA were distinguished based on outcomes of HMW DNA isolation and size. Further experiments are required to determine the nature and function of these two types of telomeric sequences. WIDER IMPLICATIONS OF THE FINDINGS: This study reveals a dramatic impact of upstream DNA processing and study design on measurements of spTL, which accounts for conflicting results in the literature. Future assessments of spTL should incorporate independent detection of chromosomal and EC telomeric DNA and specific experimental planning. STUDY FUNDING/COMPETING INTERESTS: This study was funded by CReATe Fertility Centre, Toronto, Ontario, Canada. The authors have declared no conflict of interest. REGISTRATION NUMBER: N/A.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.149
GPT teacher head0.489
Teacher spread0.339 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations11
Published2017
Admission routes2
Has abstractyes

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