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Record W2007788558 · doi:10.1002/path.2817

Alcoholics show reduced telomere length in the oesophagus

2010· article· en· W2007788558 on OpenAlexaff
Junko Aida, Akira Yokoyama, Naotaka Izumiyama, Kenichi Nakamura, Naoshi Ishikawa, Steven S.S. Poon, Mutsunori Fujiwara, Motoji Sawabe, Masaaki Matsuura, Tomio Arai, Kaiyo Takubo

Bibliographic record

VenueThe Journal of Pathology · 2010
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsTerry Fox Research Institute
FundersJapan Society for the Promotion of Science
KeywordsTelomereTelomeraseCarcinogenesisGenome instabilityBiologyChromosome instabilityPathologicalBasal (medicine)InflammationPathologyChromosomeCancer researchGeneticsMedicineCancerEndocrinologyImmunologyDNADNA damageGene

Abstract

fetched live from OpenAlex

Telomeres are repetitive G-rich DNA sequences located at the ends of chromosomes. Chromosomal and genomic instability due to telomere dysfunction plays an important role in carcinogenesis. To study telomere shortening in the oesophageal epithelium of alcoholics, we measured the telomere lengths of basal and parabasal cells in comparison with those of non-alcoholics using Q-FISH and our original software, Tissue Telo, and also assessed histological inflammation. Telomeres in basal cells were significantly shorter in alcoholics than in age-matched normal controls. Prominent histological findings of chronic inflammation were not evident in either alcoholics or non-alcoholics. Our finding that telomeres in the oesophageal epithelium are shorter in alcoholics than in non-alcoholics indicates that telomere shortening may be associated with the frequent occurrence of squamous cell carcinoma in alcoholics. Further studies to clarify the reason for the large annual loss of telomere length with rapid turnover or lower telomerase activity in the oesophageal epithelium of alcoholics will be necessary.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.670

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 science0.0010.000
Research integrity0.0000.002
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 head0.022
GPT teacher head0.299
Teacher spread0.276 · 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 designBench or experimental
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

Citations30
Published2010
Admission routes1
Has abstractyes

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