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Record W7117731325 · doi:10.31083/fbl46123

Active Vitamin D Insufficiency Accelerates Skeletal Aging via Oxidative Stress and p16-Mediated Senescence

2025· article· en· W7117731325 on OpenAlexaff
Wanxin null Qiao, Mingxin null Huang, Lu Chen, D GOLTZMAN, Dengshun Miao

Bibliographic record

VenueFrontiers in Bioscience-Landmark · 2025
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersNational Natural Science Foundation of China
KeywordsSenescenceOxidative stressVitamin D and neurologyReactive oxygen speciesvitamin D deficiencyOxidative phosphorylationSecretion

Abstract

fetched live from OpenAlex

Background: Vitamin D is essential for skeletal health, but its role in redox homeostasis and cellular senescence during aging in vivo is unclear. We therefore investigated whether active vitamin D insufficiency accelerates bone loss via oxidative stress and senescence pathways. Methods: Male wild-type (WT) and Cyp27b1 haploinsufficient mice (modeling vitamin D insufficiency) were treated with N-acetylcysteine (NAC) or 1,25-dihydroxyvitamin D3 [1,25(OH)2D3]. Double-mutant p16-/-Cyp27b1+/- mice were used to assess the role of the tumor suppressor protein p16. Mice were maintained until 8 months of age in a specific pathogen-free facility. Outcomes included lifespan (n = variable per group, monitored daily); generation of oxidative stress (determined by serum malondialdehyde [MDA] levels via assay kit); generation of bone reactive oxygen species [ROS] (determined via flow cytometry), development of DNA damage (indicated by 8-hydroxy-2′-deoxyguanosine [8-OHdG] and γ-H2A.X generation and determined via immunohistochemistry and Western blot); and senescence (assessed by generation of β-galactosidase [β-gal], p16, and senescence-associated secretory phenotype [SASP] cytokines as determined via staining, blot, and real-time reverse transcription polymerase chain reaction). Additionally, bone microarchitecture was examined via micro-computed tomography and histomorphometry. Data from at least 5 mice per group were analyzed using unpaired Student’s t-test for two-group comparisons and two-way analysis of variance for multi-group comparisons, with significance at p < 0.05. Results: Compared with wild-type controls, Cyp27b1+/- mice showed a significantly shorter lifespan, higher oxidative stress, greater DNA damage, increased senescence markers, and lower trabecular bone volume (all p < 0.05). In Cyp27b1+/- mice, treatment with either N-acetylcysteine or 1,25(OH)2D3 significantly improved survival, reduced oxidative stress and DNA damage, attenuated senescence markers, and increased bone volume relative to untreated Cyp27b1+/- mice (p < 0.05 for all relevant comparisons; n = 5 per group). Genetic deletion of p16 in Cyp27b1+/-mice similarly increased bone volume and reduced senescence-associated readouts compared with Cyp27b1+/- controls (p < 0.05; n = 5). Conclusions: Active vitamin D insufficiency accelerates skeletal aging in vivo through a pathway involving reactive oxygen species-DNA damage-p16/senescence-associated secretory phenotype. Antioxidants, vitamin D repletion, or p16 inhibition rescued bone loss, highlighting redox-senescence axes as potential therapeutic targets for osteoporosis.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.283
Teacher spread0.273 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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