Evidence map›Paper›PMID 24866127›Full record

ArticlePLoS biology2014

Exceptional evolutionary divergence of human muscle and brain metabolomes parallels human cognitive and physical uniqueness.

Katarzyna Bozek, Yuning Wei, Zheng Yan, Xiling Liu, Jieyi Xiong, Masahiro Sugimoto, Masaru Tomita, Svante Pääbo, Raik Pieszek, Chet C Sherwood and 9 more

Abstract read
In one paragraph

Article in PLoS biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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

50 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Principles of metabolome conservation in animals.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. The evolution of human fatigue resistance.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2022
    Review
  10. Article
  11. Article
  12. Modular Evolution of the Drosophila Metabolome.Molecular biology and evolution · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Evolution of regulatory signatures in primate cortical neurons at cell-type resolution.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Katarzyna BozekCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China; Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Yuning WeiCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China; Graduate School of Chinese Academy of Sciences, Beijing, China.
Zheng YanCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China.
Xiling LiuCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China.
Jieyi XiongCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China; Graduate School of Chinese Academy of Sciences, Beijing, China.
Masahiro SugimotoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
Masaru TomitaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
Svante PääboMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Raik PieszekMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Chet C SherwoodDepartment of Anthropology, The George Washington University, Washington DC, United States of America.
Patrick R HofFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, United States of America.
John J ElyAlamogordo Primate Facility, Holloman AFB, Alamogordo, New Mexico, United States of America.
Dirk SteinhauserMax Planck Institute for Molecular Plant Physiology, Potsdam, Germany.
Lothar WillmitzerMax Planck Institute for Molecular Plant Physiology, Potsdam, Germany.
Jens BangsboDepartment of Exercise and Sport Sciences, Section of Human Physiology, University of Copenhagen, Copenhagen, Denmark.
Ola HanssonDepartment of Clinical Sciences, Lund University, Malmö University Hospital, Malmö, Sweden.
Josep CallMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Patrick GiavaliscoMax Planck Institute for Molecular Plant Physiology, Potsdam, Germany.
Philipp KhaitovichCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China; Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolite concentrations reflect the physiological states of tissues and cells. However, the role of metabolic changes in species evolution is currently unknown. Here, we present a study of metabolome evolution conducted in three brain regions and two non-neural tissues from humans, chimpanzees, macaque monkeys, and mice based on over 10,000 hydrophilic compounds. While chimpanzee, macaque, and mouse metabolomes diverge following the genetic distances among species, we detect remarkable acceleration of metabolome evolution in human prefrontal cortex and skeletal muscle affecting neural and energy metabolism pathways. These metabolic changes could not be attributed to environmental conditions and were confirmed against the expression of their corresponding enzymes. We further conducted muscle strength tests in humans, chimpanzees, and macaques. The results suggest that, while humans are characterized by superior cognition, their muscular performance might be markedly inferior to that of chimpanzees and macaque monkeys.

Indexed as

MetabolomeAnimalsBiological EvolutionCognitionEnergy MetabolismFemaleHumansMacacaMaleMiceMuscle, SkeletalMuscle StrengthPan troglodytesPrefrontal CortexSpecies Specificity

Identifiers

PMID24866127
PMCPMC4035273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.