Evidence map›Paper›PMID 37127296›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Fatty acid amides as potential circulating biomarkers for sarcopenia.

Ye An Kim, Seung Hun Lee, Jung-Min Koh, Seung-Hyun Kwon, Young Lee, Han Jin Cho, Hanjun Kim, Su Jung Kim, Ji Hyun Lee, Hyun Ju Yoo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

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  13. Fatty acid amides as potential circulating biomarkers for sarcopenia.Journal of cachexia, sarcopenia and muscle · 2023
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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

11 authors at 3 institutions in 1 country.

Ye An KimDivision of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, South Korea.
Seung Hun LeeDivision of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jung-Min KohDivision of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Seung-Hyun KwonVeterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, South Korea.
Young LeeVeterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, South Korea.
Han Jin ChoBiomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea.
Hanjun KimBiomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea.
Su Jung KimDepartment of Convergence Medicine, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Ji Hyun LeeDivision of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, South Korea.
Hyun Ju YooDepartment of Convergence Medicine, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Je Hyun SeoVeterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, South Korea.ORCID 0000-0003-3127-7160
Veterans Health Service Medical Center · KRUlsan College · KRAsan Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is characterized by a progressive decrease in skeletal muscle mass and function with age. Given that sarcopenia is associated with various metabolic disorders, effective metabolic biomarkers for its early detection are required. We aimed to investigate the metabolic biomarkers related to sarcopenia in elderly men and perform experimental studies using metabolomics.

methodsPlasma metabolites from 142 elderly men, comprising a sarcopenia group and an age-matched control group, were measured using global metabolome profiling. Muscle and plasma samples from an aging mouse model of sarcopenia, as well as cell media and cell lysates during myoblast differentiation, were analysed based on targeted metabolome profiling. Based on these experimental results, fatty acid amides were quantified from human plasma as well as human muscle tissues. The association of fatty acid amide levels with sarcopenia parameters was evaluated.

resultsGlobal metabolome profiling showed that fatty acid amide levels were significantly different in the plasma of elderly men with sarcopenia (all Ps < 0.01). Consistent with these results in human plasma, targeted metabolome profiling in an aging mouse model of sarcopenia showed decreased levels of fatty acid amides in plasma but not in muscle tissue. In addition, the levels of fatty acid amides increased in cell lysates during muscle cell differentiation. Targeted metabolome profiling in men showed decreased docosahexaenoic acid ethanolamide (DHA EA) levels in the plasma (P = 0.016) but not in the muscle of men with sarcopenia. DHA EA level was positively correlated with sarcopenia parameters such as skeletal muscle mass index (SMI) and handgrip strength (HGS) (P = 0.001, P = 0.001, respectively). The area under the receiver-operating characteristic curve (AUC) for DHA EA level ≤ 4.60 fmol/μL for sarcopenia was 0.618 (95% confidence interval [CI]: 0.532-0.698). DHA EA level ≤ 4.60 fmol/μL was associated with a significantly greater likelihood of sarcopenia (odds ratio [OR]: 2.11, 95% CI: 1.03-4.30), independent of HGS. The addition of DHA EA level to age and HGS significantly improved the AUC from 0.620 to 0.691 (P = 0.0497).

conclusionsOur study demonstrated that fatty acid amides are potential circulating biomarkers in elderly men with sarcopenia. DHA EA, in particular, strongly related to muscle mass and strength, can be a key metabolite to become a reliable metabolic biomarker for sarcopenia. Further research on fatty acid amides will provide insights into the metabolomic changes relevant to sarcopenia from an aging perspective.

Indexed as

SarcopeniaAgedAgingAnimalsBiomarkersHand StrengthHumansMaleMiceMuscle, SkeletalBiomarkersAgingBiomarkersFatty acid amidesMetabolomicsSarcopenia

Identifiers

PMID37127296
PMCPMC10235865
OpenAlexW4367627839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.