Evidence map›Paper›PMID 38385271›Full record

ArticleBiology open2024

The relationship between mitochondrial respiration, resting metabolic rate and blood cell count in great tits.

Elisa Thoral, Carmen C García-Díaz, Elin Persson, Imen Chamkha, Eskil Elmér, Suvi Ruuskanen, Andreas Nord

Open access · goldAbstract read
In one paragraph

Article in Biology open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Photoperiod, but not testosterone, increases basal metabolic rate in house sparrows.Integrative organismal biology (Oxford, England) · 2026
    Article
  3. Article
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  8. Non-lethal sampling for assessment of mitochondrial function does not affect metabolic rate and swimming performance.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Elisa ThoralLund University, Department of Biology, Section for Evolutionary Ecology, Sölvegatan 37, SE-223 62 Lund, Sweden.ORCID 0000-0001-5218-9907
Carmen C García-DíazLund University, Department of Biology, Section for Evolutionary Ecology, Sölvegatan 37, SE-223 62 Lund, Sweden.ORCID 0000-0002-7827-8104
Elin PerssonLund University, Department of Biology, Section for Evolutionary Ecology, Sölvegatan 37, SE-223 62 Lund, Sweden.ORCID 0000-0003-1824-1403
Imen ChamkhaLund University, Department of Clinical Sciences, Mitochondrial Medicine, Sölvegatan 17, SE-221 84, Lund, Sweden.ORCID 0000-0002-6919-585X
Eskil ElmérLund University, Department of Clinical Sciences, Mitochondrial Medicine, Sölvegatan 17, SE-221 84, Lund, Sweden.ORCID 0000-0001-7901-1826
Suvi RuuskanenDepartment of Biological and Environmental Science, University of Jyväskylä, FI-40014 Jyväskylä, Finland.ORCID 0000-0001-5582-9455
Andreas NordLund University, Department of Biology, Section for Evolutionary Ecology, Sölvegatan 37, SE-223 62 Lund, Sweden.ORCID 0000-0001-6170-689X
Lund University · SEUniversity of Jyväskylä · FI

Funding

Carl Trygger Foundation for Scientific Research CTS21-1173Crafoord Foundation 118290Lund University: Lunds UniversitetRoyal Physiographic Society of Lund 2017-39034Swedish Research Council 2020-04686
6 · The paper itself

Abstract

Although mitochondrial respiration is believed to explain a substantial part of the variation in resting metabolic rate (RMR), few studies have empirically studied the relationship between organismal and cellular metabolism. We therefore investigated the relationship between RMR and mitochondrial respiration of permeabilized blood cells in wild great tits (Parus major L.). We also studied the correlation between mitochondrial respiration traits and blood cell count, as normalizing mitochondrial respiration by the cell count is a method commonly used to study blood metabolism. In contrast to previous studies, our results show that there was no relationship between RMR and mitochondrial respiration in intact blood cells (i.e. with the ROUTINE respiration). However, when cells were permeabilized and interrelation re-assessed under saturating substrate availability, we found that RMR was positively related to phosphorylating respiration rates through complexes I and II (i.e. OXPHOS respiration) and to the mitochondrial efficiency to produce energy (i.e. net phosphorylation efficiency), though variation explained by the models was low (i.e. linear model: R2=0.14 to 0.21). However, unlike studies in mammals, LEAK respiration without [i.e. L(n)] and with [i.e. L(Omy)] adenylates was not significantly related to RMR. These results suggest that phosphorylating respiration in blood cells can potentially be used to predict RMR in wild birds, but that this relationship may have to be addressed in standardized conditions (permeabilized cells) and that the prediction risks being imprecise. We also showed that, in our conditions, there was no relationship between any mitochondrial respiration trait and blood cell count. Hence, we caution against normalising respiration rates using this parameter as is sometimes done. Future work should address the functional explanations for the observed relationships, and determine why these appear labile across space, time, taxon, and physiological state.

Indexed as

Basal MetabolismEnergy MetabolismAnimalsBlood Cell CountMammalsMitochondriaRespirationBasal metabolic rateErythrocyteGreat titMitochondriaOxidative metabolismResting metabolic rate

Identifiers

PMID38385271
PMCPMC10958200
OpenAlexW4392051347

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.