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ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Microorganisms in Vertebrate Digestive Systems
Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1515939
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Iron overload disorder (IOD) is a prevalent condition in ex situ black rhinoceroses (Diceros bicornis), while this condition has not been reported in the wild. The objective of this study was to gain a deeper understanding of the relationship between 25 hydroxy vitamin D (25(OH)D), inflammatory markers, insulin levels, the gut microbiome, diet components, and transferrin saturation (TS) in ex situ black rhinoceroses; As inflammatory markers interleukin 6 (IL-6), serum amyloid A (SAA), interferon γ (IFN-γ), tumor necrosis factor α (TNF-α) were analysed. Blood and faeces of eleven black rhinoceroses from five different European zoological institutions were monitored over a period of one year. Our study corroborates the findings of previous studies, which demonstrated that insulin, inflammatory markers, and TS% are higher in ex situ black rhinoceroses compared to previously published wild ranges. Our data show no correlations were found between insulin , 25(OH)D, TS%, inflammatory markers or the shortchain fatty acids (SFCAs). Serum 25(OH)D exhibited significantly higher levels in the summer compared to the winter season. Transferrin saturation was influenced by age in accordance with previous studies. The microbiome did not differ significantly between individuals, institutions, sex or season, in contrast to the mycobiome, which differed significantly amongst institutions. Whether the difference in the mycobiome data plays a role in the physiology of the animals could not be concluded from this study. Introduction
Keywords: Diceros bicornis michaeli1, black rhinoceros2, iron overload disorder3, short-and medium-chain fatty acid analysis4, microbiome5. vitamin D6, inflammatory markers7, short chain fatty acids8
Received: 04 Nov 2024; Accepted: 06 Mar 2025.
Copyright: © 2025 Bruins-Van Sonsbeek, Verschuren, Kaal, Lindenburg, Rodenburg, Clauss, Speksnijder, Bonnet and Wittink. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Floyd Wittink, LCAB, Department of Bioinformatics, University of Applied Sciences Leiden., Leiden, Netherlands
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