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Mitochondrial metabolism in blood more reliably predicts whole-animal energy needs compared to other tissues

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2023

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Casagrande, Stefania
Dzialo, Maciej
Trost, Lisa
Malkoc, Kasja
Sadowska, Edyta Teresa
Hau, Michaela
Pierce, Barbara
McWilliams, Scott
Bauchinger, Ulf

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iScience. Elsevier. 2023, 26(12), 108321. eISSN 2589-0042. Available under: doi: 10.1016/j.isci.2023.108321

Zusammenfassung

Understanding energy metabolism in free-ranging animals is crucial for ecological studies. In birds, red blood cells (RBCs) offer a minimally invasive method to estimate metabolic rate (MR). In this study with European starlings Sturnus vulgaris, we examined how RBC oxygen consumption relates to oxygen use in key tissues (brain, liver, heart, and pectoral muscle) and versus the whole organism measured at basal levels. The pectoral muscle accounted for 34%–42% of organismal MR, while the heart and liver, despite their high mass-specific metabolic rate, each contributed 2.5%–3.0% to organismal MR. Despite its low contribution to organismal MR (0.03%–0.04%), RBC MR best predicted organismal MR (r = 0.70). Oxygen consumption of the brain and pectoralis was also associated with whole-organism MR, unlike that of heart and liver. Overall, our findings demonstrate that the metabolism of a systemic tissue like blood is a superior proxy for organismal energy metabolism than that of other tissues.

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570 Biowissenschaften, Biologie

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ISO 690CASAGRANDE, Stefania, Maciej DZIALO, Lisa TROST, Kasja MALKOC, Edyta Teresa SADOWSKA, Michaela HAU, Barbara PIERCE, Scott MCWILLIAMS, Ulf BAUCHINGER, 2023. Mitochondrial metabolism in blood more reliably predicts whole-animal energy needs compared to other tissues. In: iScience. Elsevier. 2023, 26(12), 108321. eISSN 2589-0042. Available under: doi: 10.1016/j.isci.2023.108321
BibTex
@article{Casagrande2023Mitoc-68874,
  year={2023},
  doi={10.1016/j.isci.2023.108321},
  title={Mitochondrial metabolism in blood more reliably predicts whole-animal energy needs compared to other tissues},
  number={12},
  volume={26},
  journal={iScience},
  author={Casagrande, Stefania and Dzialo, Maciej and Trost, Lisa and Malkoc, Kasja and Sadowska, Edyta Teresa and Hau, Michaela and Pierce, Barbara and McWilliams, Scott and Bauchinger, Ulf},
  note={Article Number: 108321}
}
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