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Record W4380447997 · doi:10.1093/ndt/gfad063b_4394

#4394TACROLIMUS BUT NOT VOCLOSPORIN INHIBITS KIDNEY TUBULAR CALCIUM AND MAGNESIUM REABSORPTION IN RATS AT CLINICALLY THERAPEUTIC DOSES

2023· article· en· W4380447997 on OpenAlexaff
Kuang‐Yu Wei, Martijn H. van Heugten, Hester van Willigenburg, A.H. Jan Danser, Linda M. Rehaume, Jennifer Cross, John Viel, Jeroen H. F. de Baaij, Ewout J. Hoorn

Bibliographic record

VenueNephrology Dialysis Transplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsAurinia (Canada)
Fundersnot available
KeywordsMedicineHypomagnesemiaTacrolimusHypercalciuriaCalcineurinEndocrinologyInternal medicineReabsorptionCalciumKidneyDiureticPharmacologyMagnesiumTransplantationChemistry

Abstract

fetched live from OpenAlex

Abstract Background and Aims Clinically, the calcineurin inhibitor tacrolimus frequently causes hypercalciuria and hypomagnesemia by inhibiting kidney tubular calcium and magnesium reabsorption. Voclosporin, a novel calcineurin inhibitor approved in the USA and Europe for the treatment of adults with active lupus nephritis, has fewer side-effects including less hypomagnesemia. However, the differences between the kidney tubular effects of tacrolimus and voclosporin are unknown. To address this, we compared the effects of tacrolimus, voclosporin, and vehicle in rats. Method Tacrolimus (0.5 mg/kg) and voclosporin (0.5 mg/kg) were administrated by daily intraperitoneal injections in male Wistar rats and were compared against vehicle (Cremophor EL: 95% ethanol:saline (5:5:90, v:v:v)) for 28 days (n = 8–9/group). Dosages were determined based on pharmacokinetic studies in rats and aimed to achieve the area under the concentration-time curve observed in clinical studies. At day 18, blood and 24 h urine were collected to measure trough levels of the drugs and to analyze the fractional excretions of calcium and magnesium. At sacrifice, kidneys were harvested for immunoblotting of tubular proteins. Results Both tacrolimus and voclosporin reached clinically therapeutic doses with trough levels of 2.4 μg/L ± 0.6 μg/L and 25.8 μg/L ± 9.6 μg/L, respectively. Compared to vehicle, tacrolimus caused significantly higher fractional excretions of calcium (+348% ± 127%, P < 0.001) and magnesium (+60% ± 38%, P < 0.01) and also caused hypomagnesemia (plasma magnesium 0.65 mmol/L ± 0.04 mmol/L vs. 0.81 mmol/L ± 0.02 mmol/L, P < 0.001). Compared to vehicle, voclosporin only caused a slight, but non-statistically significant, increase in fractional calcium excretion (+ 44% ± 38%, P = 0.08) and did not cause higher fractional magnesium excretion (+5% ± 30%, P = 0.96) or hypomagnesemia (plasma magnesium 0.8 mmol/L ± 0.04 mmol/L, P = 0.9). Compared to vehicle, tacrolimus caused an 11-fold decrease in the protein abundance of the cytosolic calcium-binding protein calbindin-D28K and a 2-fold decrease in the abundance of the sodium-chloride cotransporter (NCC). In contrast, voclosporin did not decrease the protein abundances of calbindin-D28K and NCC. No differences were observed between vehicle, tacrolimus, and voclosporin in the calcium channel TRPV5 and magnesium channel TRPM6 (Figure 1). Conclusion In contrast to the calcineurin inhibitor tacrolimus, voclosporin does not inhibit the kidney tubular reabsorption of calcium and magnesium and therefore does not cause hypercalciuria or hypomagnesemia. A possible explanation for this difference is that tacrolimus but not voclosporin affects tubular transport in the distal convoluted tubule, which was further supported by the selective inhibition of calbindin-D28K and NCC by tacrolimus. Our data show that tubulotoxicity of tacrolimus is not apparent with voclosporin treatment, at clinically relevant doses.

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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)0.000
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.036
GPT teacher head0.324
Teacher spread0.289 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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