Comparative Analysis of Skeletal Muscle Metabolites of Fish with Various Rates of Aging

Clicks: 283
ID: 120113
2019
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #89 of 163 articles by views in fishes

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 163 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Fish species exhibit great diversity rating of aging (from negligible to rapid), which gives a unique possibility for the discovery of the molecular mechanisms that determine the differences in the rate of aging. A mass spectrometric metabolic profiling of skeletal muscle of fish with various aging rates was carried out by direct injection to a quadrupole time-of-flight mass spectrometer. The first group includes long-lived fish species (pike (Esox Lucius) and sterlet (Acipenser ruthenus); the second group—species with gradual senescence such as that observed in many mammalian species of similar size (zander (Sandra lucioperca) and perch (Perca fluviatilis)) and the third group—species with very short life cycle (chum salmon (Oncorhynchus keta) and pink salmon (Oncorhynchus gorbuscha)). Multivariate analysis of metabolic profiles allowed the detecting of about 80 group-specific features associated with amino acids, lipids, biogenic amines, intermediates of glycolysis, glycogenolysis, and citric acid cycle. Possible roles in the aging process are hypothesized for the biochemical pathways of the metabolites that were altered in the different groups.
Reference Key
maslov2019fishescomparative Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dmitry L. Maslov;Oxana P. Trifonova;Anton N. Mikhailov;Konstantin V. Zolotarev;Kirill V. Nakhod;Valeriya I. Nakhod;Nataliya F. Belyaeva;Marina V. Mikhailova;Petr G. Lokhov;Alexander I. Archakov;Maslov, Dmitry L.;Trifonova, Oxana P.;Mikhailov, Anton N.;Zolotarev, Konstantin V.;Nakhod, Kirill V.;Nakhod, Valeriya I.;Belyaeva, Nataliya F.;Mikhailova, Marina V.;Lokhov, Petr G.;Archakov, Alexander I.;
Journal fishes
Year 2019
DOI
10.3390/fishes4020025
URL
https://www.mdpi.com/2410-3888/4/2/25
Keywords
aging fish muscle metabolome profiling

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.