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Record W2997344272 · doi:10.1111/acel.13095

1,25‐Dihydroxyvitamin D protects against age‐related osteoporosis by a novel VDR‐Ezh2‐p16 signal axis

2019· article· en· W2997344272 on OpenAlexafffund
Renlei Yang, Jie Chen, Jiao Zhang, Ran Qin, Rong Wang, Yue Qiu, Zhiyuan Mao, David Goltzman, Dengshun Miao

Bibliographic record

VenueAging Cell · 2019
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMcGill University Health Centre
FundersInstitute of Musculoskeletal Health and ArthritisNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsCalcitriol receptorBiologyEZH2OsteoporosisVitamin D and neurologyInternal medicineCancer researchEndocrinologyGeneticsMedicine

Abstract

fetched live from OpenAlex

Abstract To determine whether 1,25‐dihydroxyvitamin D (1,25(OH) 2 D) can exert an anti‐osteoporosis role through anti‐aging mechanisms, we analyzed the bone phenotype of mice with 1,25(OH) 2 D deficiency due to deletion of the enzyme, 25‐hydroxyvitamin D 1α‐hydroxylase, while on a rescue diet. 1,25(OH) 2 D deficiency accelerated age‐related bone loss by activating the p16/p19 senescence signaling pathway, inhibiting osteoblastic bone formation, and stimulating osteoclastic bone resorption, osteocyte senescence, and senescence‐associated secretory phenotype (SASP). Supplementation of exogenous 1,25(OH) 2 D 3 corrected the osteoporotic phenotype caused by 1,25(OH) 2 D deficiency or natural aging by inhibiting the p16/p19 pathway. The proliferation, osteogenic differentiation, and ectopic bone formation of bone marrow mesenchymal stem cells derived from mice with genetically induced deficiency of the vitamin D receptor (VDR) were significantly reduced by mechanisms including increased oxidative stress, DNA damage, and cellular senescence. We also demonstrated that p16 deletion largely rescued the osteoporotic phenotype caused by 1,25(OH) 2 D 3 deficiency, whereas 1,25(OH) 2 D 3 could up‐regulate the enzyme Ezh2 via VDR‐mediated transcription thereby enriching H3K27me3 and repressing p16/p19 transcription. Finally, we demonstrated that treatment with 1,25(OH) 2 D 3 improved the osteogenic defects of human BM‐MSCs caused by repeated passages by stimulating their proliferation and inhibiting their senescence via the VDR‐Ezh2‐p16 axis. The results of this study therefore indicate that 1,25(OH) 2 D 3 plays a role in preventing age‐related osteoporosis by up‐regulating Ezh2 via VDR‐mediated transcription, increasing H3K27me3 and repressing p16 transcription, thus promoting the proliferation and osteogenesis of BM‐MSCs and inhibiting their senescence, while also stimulating osteoblastic bone formation, and inhibiting osteocyte senescence, SASP, and osteoclastic bone resorption.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

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 head0.010
GPT teacher head0.249
Teacher spread0.239 · 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

Citations134
Published2019
Admission routes2
Has abstractyes

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