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Record W1576363999

Influence of timing (pre-puberty or skeletal maturity) of ovariohysterectomy on mRNA levels in corneal tissues of female rabbits.

2008· article· en· W1576363999 on OpenAlexaff
Yamini Achari, Carol Reno, Helen Tsao, Douglas W. Morck, David A. Hart

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsAlberta Bone and Joint Health InstituteUniversity of Calgary
Fundersnot available
KeywordsEndocrinologyInternal medicineHormoneBiologyMenstrual cycleMessenger RNAMenopauseGene expressionPhysiologyAndrologyMedicineGene
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: Corneal thickness and curvature are reported to be influenced by hormonal changes associated with menstrual cycle, pregnancy, or menopause. However, the molecular mechanisms leading to these alterations are not clearly understood. The present study focuses on gene expression patterns (mRNA levels) in corneal tissues following surgically induced menopause in an animal model. The impact of lower hormone levels on mRNA levels in corneal tissues after pre-puberty ovariohysterectomy (OVX) was compared to that in skeletally mature adult animals. METHODS: Skeletally mature adult female rabbits were either left unoperated (control) or were subjected to OVX at 54 weeks of age using an approved protocol. The central (approximately 6 mm) and the peripheral corneal tissues were harvested from normal and OVX rabbits eight weeks after surgery. In a second study, young sexually immature rabbits at eight weeks of age were subjected to OVX and corneal tissues were collected when the animals were 22 and 32 weeks of age. In both experiments, RNA was isolated from corneal tissues and RT-PCR was used to assess mRNA levels for several relevant molecules. RESULTS: When mature animals were examined eight weeks after OVX, mRNA levels for molecules such as the estrogen receptor, decorin, collagen I, collagen V, and several growth factors were found to be significantly decreased in central corneal tissues. Interestingly, no corresponding changes in mRNA levels were observed for these same molecules in peripheral corneal tissues. When young, pre-pubertal animals were subjected to OVX, mRNA levels were found to be mainly unchanged for the OVX animals at 22 weeks of age i.e., after 14 weeks of low hormone conditions. However, significant decreases in mRNA levels for a similar subset of molecules were observed when the animals were at least 32 weeks of age, i.e., after 24 weeks of a low hormone environment. Examination of peripheral corneal tissues did not show significant changes in mRNA levels due to OVX at either 22 or 32 weeks of age except for collagens I and V at 32 weeks of age. CONCLUSIONS: These results indicate significant alterations in mRNA levels in the central corneal tissues of rabbits following OVX. Interestingly, peripheral corneal tissues show very little alteration in mRNA levels for the same molecules. Furthermore, OVX had a more rapid impact on mRNA levels in mature animals than in skeletally immature animals. Thus, loss of hormone producing tissues during growth and maturation apparently delayed the impact of hormone removal compared to loss after maturity had been attained and growth stimuli are likely absent. Therefore, specific areas of the cornea are more responsive to hormone levels than others. The impact of the loss of hormones is influenced by the maturation state of the rabbit, but mRNA levels for a similar subset of genes are affected by OVX in both age groups.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.059
GPT teacher head0.273
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2008
Admission routes1
Has abstractyes

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