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Record W2951463918 · doi:10.1093/ndt/gfz106.fp452

FP452ALTERATIONS OF THE VITAMIN D METABOLOME IN CKD PATIENTS REVEALS IMPAIRED STATUS NOT REFLECTED BY 25(OH)D3

2019· article· en· W2951463918 on OpenAlexaff
Mandy E. Turner, Glenville Jones, Martin Kaufmann, Christine A. White, Michael A. Adams, Rachel M. Holden

Bibliographic record

VenueNephrology Dialysis Transplantation · 2019
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineMetabolomeKidney diseaseVitamin D and neurologyInternal medicineVitaminEndocrinologyGastroenterologyMetabolite

Abstract

fetched live from OpenAlex

INTRODUCTION: Clinical assessment of 25(OH)D3 assesses dietary sufficiency and likely has limited utility in capturing the significant alterations in vitamin D metabolism in CKD patients, that contributes to mineral bone disorder in these patients. Degradation of both active vitamin D (1,25(OH)2D3) and its precursor (25(OH)D3) predominantly occurs through 24-hydroxylation, catalyzed by CYP24A1. The substrate-to-product ratio between vitamin D metabolites and their 24-hydroxylated catabolite estimates the activity of this enzyme on a global level. This study sought to characterize a comprehensive vitamin D metabolome and catabolism through vitamin D metabolite (VDM) ratios of 25(OH)D3and 1,25(OH)2D3(1) across a range of kidney function in a cohort of participants with gold-standard inulin-measured GFR and (2) with or without pharmacological treatment of 1,25(OH)2D3in a cohort of hemodialysis (HD) patients. METHODS: GFR was measured via urinary inulin clearance. Phosphate, calcium and PTH were measured at Kingston Health Science Center (Roche Diagnostics) and FGF-23 was measured in duplicate using an ELISA (Kainos). Serum vitamin D metabolites were measured by LC-MS/MS, involving sample preparation by liquid-liquid extraction, immunoextraction, and derivatization with DMEQ-TAD. RESULTS: Participants had a range of kidney function with measured GFR that ranged from 9 to 148 mL/min (n=84) or HD (n=90). There was no difference in circulating 25D across the range of kidney function (25.9±10.1 ng/mL, p=0.2) or dialysis patients (27.2±12.0 ng/mL). However, there was a significant increase in the VDM-ratio 25(OH)D3:24,25(OH)2D3 as GFR declined, withthe highest found in HD patients. This higher 25(OH)D3:24,25(OH)2D3VDM ratio, indicative of decreased catabolism, was also associated with PTH with and without adjustment for age and GFR (r=0.3, p<0.05). An assessment of 1-alpha hydroxylated metabolites did not exhibit similar patterns of catabolism. GFR was inversely associated with1,25(OH)2D3(r=0.5, p<0.001) and 1,24,25(OH)3D3(r=0.3, p<0.05) but was not associated with the VDM-ratio. After adjustment for age and GFR, FGF-23 was inversely associated with the 1,25(OH)2D3:1,24,25(OH)3D3VDM-ratio (r=-0.4, p<0.05). In HD patients, the 1,25(OH)2D3:1,24,25(OH)3D3VDM-ratio was inversely associated with dialysis vintage and calcitriol use and dose. The calcitriol-treated HD patients (N=56, 64%) had no difference in their 25-D metabolome, with similar levels of 25(OH)D3, 24,25(OH)2D3 and no difference in the 25(OH)D3:24,25(OH)2D3 VDM ratio compared to non-treated patients. Calcitriol-treated patients had significantly higher levels of 1,25(OH)2D3, however similar levels of its catabolite, resulting in a doubling of the ratio between 1,25(OH)2D3and 1,24,25(OH)3D3. CONCLUSIONS: Catabolism of 25(OH)D3, but not 1,25(OH)2D3, was clearly altered in non-dialysis CKD. These significant alterations in D status were not reflected by changes in the clinically measured vitamin D metabolite. The results also suggest that, in HD patients, exogenous 1,25(OH)2D3 is catabolized differently than that which is endogenously produced.The substrate-to-product ratio between vitamin D metabolites may indicate tissue-based metabolism, and therefore be a better indicator of vitamin D status not reflected by clinically measured circulating vitamin D levels.

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)0.001
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.279
Teacher spread0.268 · 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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Published2019
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