Elsevier

Molecular Metabolism

Volume 16, October 2018, Pages 1-11
Molecular Metabolism

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

https://doi.org/10.1016/j.molmet.2018.06.008Get rights and content
Under a Creative Commons license
open access

Highlights

  • Human metabolome identifies the daily variation of metabolite levels.

  • Divergent nutritional challenges reprogram the daily variation of human serum/muscle metabolome.

  • Metabolomics delineates parallels between human serum and skeletal muscle.

Abstract

Objective

Advances 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.

Methods

Utilizing 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.

Results

We 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.

Conclusion

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

Keywords

Circadian clock
Human
Serum metabolome
Skeletal muscle metabolome
High fat diet
High carbohydrate diet

Abbreviations

18S rRNA
18S ribosomal RNA
ANOVA
analysis of variance
BHBA
β-hydroxybutyric acid
BMI
body mass index
Bmal1
brain and muscle ARNT-Like 1
CHO
carbohydrate
Dbp
D-box binding PAR bZIP transcription factor
EDTA
ethylenediaminetetraacetic acid
ELISA
enzyme-linked immunosorbent assay
FDR
false discovery rate
GC–MS
gas chromatography–mass spectrometry
HFD
high fat diet
HCD
high-carbohydrate diet
LC-MS
liquid-chromatography mass spectrometry
Pparδ
peroxisome proliferator-activated receptor-delta
Ppargc1α
peroxisome proliferator-activated receptor gamma coactivator 1-alpha
HK2
hexokinase 2
PCR
polymerase chain reaction
PCA
principal component analysis
Pdk4
pyruvate dehydrogenase kinase 4
Pdp1
pyruvate dehyrogenase phosphatase catalytic subunit 1
RMR
resting metabolic rate
SCN
suprachiasmatic nucleus
TEI
total energy intake
UPLC-MS/MS
ultra-high performance liquid chromatography-tandem mass spectrometry

Cited by (0)

4

Shogo Sato and Evelyn B. Parr contributed equally to this work.