Evidence map›Paper›PMID 34089174›Full record

ArticleGeroScience2021

Interactive effects of aging and aerobic capacity on energy metabolism-related metabolites of serum, skeletal muscle, and white adipose tissue.

Haihui Zhuang, Sira Karvinen, Timo Törmäkangas, Xiaobo Zhang, Xiaowei Ojanen, Vidya Velagapudi, Markku Alen, Steven L Britton, Lauren G Koch, Heikki Kainulainen and 2 more

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Metabolomics in aging research: aging markers from organs.Frontiers in cell and developmental biology · 2023
    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

12 authors at 6 institutions in 3 countries.

Haihui Zhuang *School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Sira Karvinen *Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland. sira.m.karvinen@jyu.fi.ORCID http://orcid.org/0000-0001-7731-1390
Timo TörmäkangasFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Xiaobo ZhangSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Xiaowei OjanenSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Vidya VelagapudiMetabolomics Unit, Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Markku AlenDepartment of Medical Rehabilitation, Oulu University Hospital, Oulu, Finland.
Steven L BrittonDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Lauren G KochDepartment of Physiology and Pharmacology, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
Heikki Kainulainen *Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Sulin Cheng *School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Petri Wiklund *Key Laboratory of Systems Biomedicine (Ministry of Education), and Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNUniversity of Jyväskylä · FIOulu University Hospital · FIUniversity of Helsinki · FIUniversity of Michigan · USUniversity of Toledo · US

Funding

Resource for Rat Genetic Models of Aerobic CapacityP40OD021331 · OD · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI KOCH, LAUREN GERARD · 2015 to 2019
$1.9M
NIH HHS P40 OD021331
6 · The paper itself

Abstract

Aerobic capacity is a strong predictor of longevity. With aging, aerobic capacity decreases concomitantly with changes in whole body metabolism leading to increased disease risk. To address the role of aerobic capacity, aging, and their interaction on metabolism, we utilized rat models selectively bred for low and high intrinsic aerobic capacity (LCRs/HCRs) and compared the metabolomics of serum, muscle, and white adipose tissue (WAT) at two time points: Young rats were sacrificed at 9 months of age, and old rats were sacrificed at 21 months of age. Targeted and semi-quantitative metabolomics analysis was performed on the ultra-pressure liquid chromatography tandem mass spectrometry (UPLC-MS) platform. The effects of aerobic capacity, aging, and their interaction were studied via regression analysis. Our results showed that high aerobic capacity is associated with an accumulation of isovalerylcarnitine in muscle and serum at rest, which is likely due to more efficient leucine catabolism in muscle. With aging, several amino acids were downregulated in muscle, indicating more efficient amino acid metabolism, whereas in WAT less efficient amino acid metabolism and decreased mitochondrial β-oxidation were observed. Our results further revealed that high aerobic capacity and aging interactively affect lipid metabolism in muscle and WAT, possibly combating unfavorable aging-related changes in whole body metabolism. Our results highlight the significant role of WAT metabolism for healthy aging.

Indexed as

Energy MetabolismTandem Mass SpectrometryAdipose Tissue, WhiteAnimalsChromatography, LiquidMuscle, SkeletalRatsAerobic capacityAgingMetabolitesMetabolomics

Identifiers

PMID34089174
PMCPMC8602622
OpenAlexW3165763081

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.