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Record W2740831896 · doi:10.2215/cjn.00530117

Effects of Vitamin D2 Supplementation on Vitamin D3 Metabolism in Health and CKD

2017· article· en· W2740831896 on OpenAlexaff
Zona Batacchi, Cassianne Robinson‐Cohen, Andrew N. Hoofnagle, Tamara Isakova, Bryan Kestenbaum, Kévin Martin, Myles Wolf, Ian H. de Boer

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2017
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
FundersNational Center for Research ResourcesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood Institute
KeywordsVitamin D and neurologyErgocalciferolMedicineInternal medicineCYP24A1EndocrinologyVitaminCalcifediolCholecalciferolvitamin D deficiencyCalcitriol receptor

Abstract

fetched live from OpenAlex

Background and objectives Vitamin D supplements are prescribed to correct low circulating concentrations of 25-hydroxyvitamin D. In CKD, vitamin D metabolism is complicated by decreased conversion of 25-hydroxyvitamin D to 1,25-dihydroxyvitamin D by CYP27B1 and possibly decreased conversion of 25-hydroxyvitamin D to 24,25-dihydroxyvitamin D by CYP24A1. The aim of this study was to determine the effects of vitamin D 2 supplementation on vitamin D metabolism in health and CKD. Design, setting, participants, & measurements We conducted a treatment-only intervention study of 25 individuals with CKD (eGFR<60 ml/min per 1.73 m 2 ) and 44 individuals without CKD from three academic centers, all with screening 25-hydroxyvitamin D <30 ng/ml. Each participant was prescribed vitamin D 2 (ergocalciferol) 50,000 IU orally twice weekly for 5 weeks. We tested whether changes in plasma concentrations of vitamin D metabolites and vitamin D metabolic ratios differed by CKD status. Plasma 1,25-dihydroxyvitamin D 3 -to-25-hydroxyvitamin D 3 ratio and 24,25-dihydroxyvitamin D 3 -to-25-hydroxyvitamin D 3 ratio were calculated as estimates of CYP27B1 and CYP24A1 function, respectively. Results With treatment, plasma 25-hydroxyvitamin D 2 and total 25-hydroxyvitamin D concentrations increased similarly for participants with and without CKD. For participants without CKD, 1,25-dihydroxyvitamin D 2 increased (2.8±1.3–32.9±1.4 pg/ml), whereas 1,25-dihydroxyvitamin D 3 decreased (45.6±1.9–14.6±1.9 pg/ml), resulting in no significant change in total 1,25-dihydroxyvitamin D; 1,25-dihydroxyvitamin D 3 -to-25-hydroxyvitamin D 3 ratio decreased (3.0±0.2–1.7±0.2 pg/ng), and 24,25-dihydroxyvitamin D 3 -to-25-hydroxyvitamin D 3 ratio increased (115.7±7.8–195.2±7.9 pg/ng). Individuals with CKD had lower baseline levels and smaller changes in magnitude for 1,25-dihydroxyvitamin D 2 (2.1±1.6–24.4±1.6 pg/ml; P interaction =0.01), 1,25-dihydroxyvitamin D 3 -to-25-hydroxyvitamin D 3 ratio (1.8±0.2–1.1±0.2 pg/ng; P interaction =0.05), and 24,25-dihydroxyvitamin D 3 -to-25-hydroxyvitamin D 3 ratio (72.0±9.1–110.3±9.3 pg/ng; P interaction <0.001). Fibroblast growth factor-23 and parathyroid hormone were not significantly changed in either group. Conclusions Vitamin D 2 supplementation decreases conversion of 25-hydroxyvitamin D 3 to 1,25-dihydroxyvitamin D 3 and induces vitamin D 3 catabolism as evidenced by changes in D 3 metabolites and vitamin D metabolic ratios. These effects occur without significant changes in fibroblast growth factor-23 or parathyroid hormone and are blunted in CKD. Podcast This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2017_08_02_CJASNPodcast_17_09.mp3

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.042
GPT teacher head0.431
Teacher spread0.389 · 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".

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Citations47
Published2017
Admission routes1
Has abstractyes

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