Evidence map›Paper›PMID 29762743›Full record

ArticleMolecular biology and evolution2018

Lipidome Evolution in Mammalian Tissues.

Ekaterina Khrameeva, Ilia Kurochkin, Katarzyna Bozek, Patrick Giavalisco, Philipp Khaitovich

Abstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Dietary supplements in neurological diseases and brain aging.Journal of preventive medicine and hygiene · 2022
    Review
  9. Modular Evolution of the Drosophila Metabolome.Molecular biology and evolution · 2022
    Article
  10. Article
  11. Article
  12. The Lipidome Fingerprint of Longevity.Molecules (Basel, Switzerland) · 2020
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Aging, VOIndian journal of pharmacology
    Review
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

5 authors.

Ekaterina KhrameevaCenter for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia.
Ilia KurochkinCenter for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia.
Katarzyna BozekBiological Physics Theory Unit, Okinawa Institute of Science and Technology, Graduate University, Onna-Son, Kunigami-Gun, Okinawa, Japan.
Patrick GiavaliscoMax Planck Institute of Molecular Plant Physiology, Potsdam, Germany.
Philipp KhaitovichCenter for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids are essential structural and functional components of cells. Little is known, however, about the evolution of lipid composition in different tissues. Here, we report a large-scale analysis of the lipidome evolution in six tissues of 32 species representing primates, rodents, and bats. While changes in genes' sequence and expression accumulate proportionally to the phylogenetic distances, <2% of the lipidome evolves this way. Yet, lipids constituting this 2% cluster in specific functions shared among all tissues. Among species, human show the largest amount of species-specific lipidome differences. Many of the uniquely human lipidome features localize in the brain cortex and cluster in specific pathways implicated in cognitive disorders.

Indexed as

Biological EvolutionLipid MetabolismAnimalsCerebral CortexHumansMammalsSpecies Specificity

Identifiers

PMID29762743
PMCPMC6063302

What OpenQuestion holds

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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.