Evidence map›Paper›PMID 30293576›Full record

ArticleMolecular metabolism2018

Human metabolomics reveal daily variations under nutritional challenges specific to serum and skeletal muscle.

Shogo Sato, Evelyn B Parr, Brooke L Devlin, John A Hawley, Paolo Sassone-Corsi

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 67 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Shogo SatoCenter for Epigenetics and Metabolism, Department of Biological Chemistry, INSERM U1233, School of Medicine, University of California, Irvine, USA.
Evelyn B ParrExercise and Nutrition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia.
Brooke L DevlinExercise and Nutrition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia.
John A HawleyExercise and Nutrition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia. Electronic address: john.hawley@acu.edu.au.
Paolo Sassone-CorsiCenter for Epigenetics and Metabolism, Department of Biological Chemistry, INSERM U1233, School of Medicine, University of California, Irvine, USA; Department of Biological Chemistry, School of Medicine, 324 Sprague Hall, University of California, Irvine, USA. Electronic address: psc@uci.edu.
Australian Catholic University · AUUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdvances in the field of metabolomics and the concomitant development of bioinformatics tools constitute a promising avenue towards the development of precision medicine and personalized profiling for numerous disease states. Studies in animal models have strengthened this concept, but the application in human subjects is scarce.

methodsUtilizing high-throughput metabolomics, we have analyzed the metabolome levels of human serum and skeletal muscle in the morning and evening in response to divergent nutritional challenges in order to identify unique signatures present in serum and muscle.

resultsWe reveal dynamic daily variation of human metabolome unique to serum and muscle. The overall effect of nutritional challenges on the serum and muscle metabolome results in a profound rewiring of morning-evening metabolic profiles in human participants in response to the timing and type of dietary challenge.

conclusionWe highlight time-of-day and meal-composition dependence of reprogramming of human metabolome by nutritional challenges.

Indexed as

AdultBiomarkersBody Mass IndexCircadian RhythmComputational BiologyDietEnergy IntakeHigh-Throughput Screening AssaysHumansMaleMetabolomeMetabolomicsMiddle AgedMuscle, SkeletalNutritional StatusObesityBiomarkersCircadian clockHigh carbohydrate dietHigh fat dietHumanSerum metabolomeSkeletal muscle metabolome

Identifiers

PMID30293576
PMCPMC6157466
OpenAlexW2809243570

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.