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Administration of alendronate exacerbates ammonium chloride-induced acidosis in mice

  • par garon@biomomentum.com

Mikayla Moody; Tannin A. Schmidt; Ruchir Trivedi; Alix Deymier
University of Gothenburg: Goteborgs Universitet, PLoS ONE 18(9): e0291649, Published: September 15, 2023

https://doi.org/10.1371/journal.pone.0291649

3 citations · 2 en 2025–2026

Les titres, résumés et légendes des publications sont présentés en anglais.

Abstract

Bone disease is highly prevalent in patients with chronic kidney disease (CKD), leading to an increased risk of bone fractures. This is due in part to metabolic acid-induced bone dissolution. Bisphosphonates (BPPs) are a potential treatment for inhibiting bone dissolution; however, there are limited studies observing the use of BPPs on acidotic patients. We aimed to determine efficacy of BPPs on maintaining bone health and pH regulation in acid-exposed mice. Using a diet-induced murine model of metabolic acidosis, we examined bone structure, composition, and mechanics as well as blood gases for three groups: control, acidosis, and acidosis + bisphosphonates (acidosis+BPP). Acidosis was induced for 14 days and alendronate was administered every 3 days for the acidosis+BPP group. The administration of BPP had little to no effect on bone structure, mechanics, and composition of the acidosis bones. However, administration of BPP did cause the mice to develop more severe acidosis than the acidosis only group. Overall, we discovered that BPPs may exacerbate acidosis symptoms by inhibiting the release of buffering ions from bone. Therefore, we propose that BPP administration should be carefully considered for those with CKD and that alkali supplementation could help minimize acidifying effects.

Utilisation des équipements

Le Mach-1 Mechanical Tester a réalisé des essais de flexion trois points jusqu’à rupture sur des fémurs de souris, avec un montage Biomomentum dans un bain de PBS. Les courbes charge–déplacement ont fourni la rigidité structurale, la charge maximale et la charge à la limite d’élasticité. Les données contrainte–déformation normalisées selon la géométrie ont ensuite été analysées avec un code MATLAB personnalisé pour déterminer le module, la contrainte maximale et la ténacité.

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