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Increased acute vascular deposition of radioactive phosphate is an index of calcification

2019· article· en· W3176471934 on OpenAlexaffabout
Mandy E. Turner, Corey M Forster, Lok Hang Lee, Emilie Ward, Austin Lansing, Cyndi M Pruss, Rachel M. Holden, Michael A. Adams

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsCalcitriolFibroblast growth factor 23Parathyroid hormoneInternal medicineEndocrinologyCalciumChemistryCalcium metabolismVitamin D and neurologyCalcificationSevelamerKidney diseaseHyperphosphatemiaPhosphateMedicineBiochemistry

Abstract

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Mineral bone disorder and vascular calcification (VC) are substantial contributors to the elevated cardiovascular disease (CVD) burden in chronic kidney disease patients. The degree to which the uremic milieu and mineral dysregulation individually contribute to this CVD is poorly understood. Calcitriol, the active form of vitamin D, is a key regulator of mineral metabolism. In this study, we present a model of rapid calcitriol‐induced VC in rats with normal kidney function, with findings that point to active and non‐active processes of calcification being fundamentally different phenotypes. Male Sprague Dawley rats (n=17, 15 weeks) were injected with 0.5 μg/kg/day calcitriol SQ for 8 days. On the 9th day, half of the animals were sacrificed (n=8, CxE), and the remainder were sacrificed 14 days after the cessation of calcitriol (n=9, CxL). Control animals (n=6) followed the same protocol. Circulating calcium, phosphate, and hormones regulating mineral metabolism (parathyroid hormone (PTH) and fibroblast growth factor 23 (FGF‐23)) were measured every two days. At sacrifice, animals underwent an IV infusion of 300μmol PO4 spiked with radioactive 33 PO 4 . Forty body tissues, including 14 across the vascular tree, were harvested and analyzed for mineral content/VC (calcium and phosphate) as well as acute phosphate deposition ( 33 PO 4 accrual). Daily administration of high‐dose calcitriol significantly elevated FGF‐23 and calcium, and suppressed PTH after only 2 doses, however, 14 days after calcitriol withdrawal, the analytes had fully normalized (Figure 1). Substantial VC was generated over the 8 days of treatment (7.8±4.2 v. 166±142 nmol Ca/mg tissue, p<0.001) and persisted 14 days after stopping treatment (540±492 nmol Ca/mg tissue). Following IV infusion of phosphate labelled with 33 PO 4 , animals sacrificed directly following calcitriol treatment (CxE) had greater accrual of phosphate acutely in the vascular bed compared to those sacrificed 14 days after the cessation of treatment (CxL; −50.4%, p<0.001), despite having sustained levels of resident VC (Figure 2). Despite the similar magnitude of VC, acute deposition of phosphate following the IV load, a potential measure of calcification activity, was significantly greater during calcitriol treatment (CxE) than after stopping it (CxL). This suggests that the VC itself does not mediate the increased accrual of phosphate, but rather the cellular phenotype of the tissue. Also, it was this acute activity, not the resident VC, that aligned with dysregulated mineral metabolism markers. The transcriptional, cellular, and physiological differences of these two states, as well as their differential associations with circulating analytes are not currently differentiated in VC research. These differences likely have an important role in VC present in humans. Support or Funding Information This research was funded by Canadian Institutes of Health Research and Vanier Canada Graduate Scholarships. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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