MétaCan
Menu
Back to cohort
Record W4233612713 · doi:10.1126/sageke.2002.32.nw112

Menopause Mouse

2002· article· en· W4233612713 on OpenAlexaboutno aff
Mary Beckman

Bibliographic record

VenueScience of Aging Knowledge Environment · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsnot available
Fundersnot available
KeywordsMenopauseOvaryFertilityEndocrinologyPhysiologyEstrous cycleMenstrual cycleFollicle-stimulating hormoneEstrogenBiologyInternal medicineHormoneMedicineLuteinizing hormonePopulation

Abstract

fetched live from OpenAlex

Like a box of bonbons, a woman's ovaries gradually lose their contents. They start with a set number of eggs, which dwindles as she ages. Menopause arrives when the ovary releases its last egg, but most women start to experience symptoms such as hot flashes and mood swings 5 to 10 years earlier. Now, scientists studying fertility cycles have created mice that might help them find out what triggers this so-called perimenopause. These animals simulate an important aspect of human perimenopause: The number of egg-producing structures declines rapidly, and this loss eventually leads to a menopauselike condition. The work suggests that elimination of an ovarian protein might spur the onslaught of perimenopause and the end of a woman's reproductive years. Women are born with all the eggs they'll ever have, housed in individual ovarian structures called follicles. Each month, follicle-stimulating hormone (FSH) prods a batch of follicles to nurture the eggs within. One follicle dominates and spews enough estrogen to quell the remaining ones, which die along with their eggs. When women are about 40 years old, their ovaries start running through follicles faster. This stage, perimenopause, is heralded by a rise in the concentration of FSH. At menopause, no follicles remain, and women begin to suffer a host of health problems such as thinning bones, weight gain, and heart disease (see "More Than a Hot Flash" ). Although mice don't have menstrual cycles, they do generate mature eggs every week upon stimulation by FSH. Danilovich and colleagues wanted to know what would happen if the mice ovaries couldn't respond to the hormone--a situation resembling that created by a follicle deficiency. In previous research, they had engineered mice lacking the gene that encodes a cell membrane receptor activated by FSH. Animals with no copies of this gene are sterile and suffer from health problems such as malformed uteri. So the researchers turned their attention to mice that retain one gene copy--so-called heterozygotes--which are born healthy and reproduce but lose their fertility over time. In the new work, they found that 12-month-olds weighed 25% more than normal, and these middle-aged mice had 1/15 as many ovarian follicles. Although normal mice continue to produce pups into old age, heterozygote fertility decreased markedly and ended at middle age, paralleling the difficulty that older, perimenopausal women face when they try to get pregnant. Furthermore, hormone production in the receptor-deficient mice mirrored that in perimenopausal women: Estrogen and progesterone concentrations dove, testosterone concentrations climbed, and extra FSH coursed through the animals' bloodstreams. According to reproductive biologist and co-author M. Ram Sairam of McGill University in Montreal, Canada, what happens in the mice might simulate what happens to women as they lose follicles. Neuroendocrinologist John Lu of the University of California, Los Angeles, says that the results suggest that waning numbers of FSH receptors accelerate ovarian aging and incite perimenopause. If the findings translate to humans, they could help researchers figure out how to delay perimenopause and thus menopause. Such an achievement might prevent the associated infirmities and slam the lid on egg loss. --Mary Beckman; suggested by Lynnette Gerhold N. Danilovich and M. R. Sairam, Haploinsufficiency of the follicle-stimulating hormone receptor accelerates oocyte loss inducing early reproductive senescence and biological aging in mice. Biol. Reprod. 67 , 361-369 (2002). [Abstract] [Full Text] N. Danilovich, D. Javeshghani, W. Xing, M. R. Sairam, Endocrine alterations and signaling changes associated with declining ovarian function and advanced biological aging in follicle-stimulating hormone receptor haploinsufficient mice. Biol. Reprod. 67 , 370-378 (2002). [Abstract] [Full Text]

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.105
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1050.046

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 head0.007
GPT teacher head0.222
Teacher spread0.214 · 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 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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueScience of Aging Knowledge EnvironmentSame topicEstrogen and related hormone effectsFrench-language works237,207