» Articles » PMID: 35706042

Sex Differences in the Human Metabolome

Overview
Journal Biol Sex Differ
Publisher Biomed Central
Specialties Biology
Physiology
Date 2022 Jun 15
PMID 35706042
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in research or diagnostics contexts. Despite the mounting recognition of the importance of sex consideration in the biomedical fields, the identification of male- and female-specific metabolic signatures has not been achieved.

Main Body: This review pointed the focus on the metabolic differences related to the sex, evidenced by metabolomics studies performed on healthy populations, with the leading aim of understanding how the sex influences the baseline metabolome. The main shared signatures and the apparent dissimilarities between males and females were extracted and highlighted from the metabolome of the most commonly analyzed biological fluids, such as serum, plasma, and urine. Furthermore, the influence of age and the significant interactions between sex and age have been taken into account.

Conclusions: The recognition of sex patterns in human metabolomics has been defined in diverse biofluids. The detection of sex- and age-related differences in the metabolome of healthy individuals are helpful for translational applications from the bench to the bedside to set targeted diagnostic and prevention approaches in the context of personalized medicine.

Citing Articles

The Metabolic Signature of Cardiorespiratory Fitness.

Bork J, Markus M, Ewert R, Nauck M, Templin C, Volzke H Scand J Med Sci Sports. 2025; 35(3):e70034.

PMID: 40072034 PMC: 11899505. DOI: 10.1111/sms.70034.


Cerebrospinal fluid metabolomics, lipidomics and serine pathway dysfunction in myalgic encephalomyelitis/chronic fatigue syndroome (ME/CFS).

Baraniuk J Sci Rep. 2025; 15(1):7381.

PMID: 40025157 PMC: 11873053. DOI: 10.1038/s41598-025-91324-1.


Exertional Exhaustion (Post-Exertional Malaise, PEM) Evaluated by the Effects of Exercise on Cerebrospinal Fluid Metabolomics-Lipidomics and Serine Pathway in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

Baraniuk J Int J Mol Sci. 2025; 26(3).

PMID: 39941050 PMC: 11818353. DOI: 10.3390/ijms26031282.


Metabolomics biomarkers of frailty: a longitudinal study of aging female and male mice.

Zhu D, Wu J, Griffin P, Samuelson B, Sinclair D, Kane A bioRxiv. 2025; .

PMID: 39896479 PMC: 11785134. DOI: 10.1101/2025.01.22.634160.


Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites.

Faquih T, Faquih T, van Hylckama Vlieg A, Surendran P, Butterworth A, Li-Gao R J Gerontol A Biol Sci Med Sci. 2025; 80(3).

PMID: 39821408 PMC: 11809259. DOI: 10.1093/gerona/glae280.


References
1.
Kochhar S, Jacobs D, Ramadan Z, Berruex F, Fuerholz A, Fay L . Probing gender-specific metabolism differences in humans by nuclear magnetic resonance-based metabonomics. Anal Biochem. 2006; 352(2):274-81. DOI: 10.1016/j.ab.2006.02.033. View

2.
Moyer A, Matey E, Miller V . Individualized medicine: Sex, hormones, genetics, and adverse drug reactions. Pharmacol Res Perspect. 2019; 7(6):e00541. PMC: 6897337. DOI: 10.1002/prp2.541. View

3.
Costanzo M, Caterino M, Cevenini A, Jung V, Chhuon C, Lipecka J . Dataset of a comparative proteomics experiment in a methylmalonyl-CoA mutase knockout HEK 293 cell model. Data Brief. 2020; 33:106453. PMC: 7644733. DOI: 10.1016/j.dib.2020.106453. View

4.
Caballero F, Struijk E, Lana A, Buno A, Rodriguez-Artalejo F, Lopez-Garcia E . Plasma acylcarnitines and risk of lower-extremity functional impairment in older adults: a nested case-control study. Sci Rep. 2021; 11(1):3350. PMC: 7870673. DOI: 10.1038/s41598-021-82912-y. View

5.
Kastenmuller G, Raffler J, Gieger C, Suhre K . Genetics of human metabolism: an update. Hum Mol Genet. 2015; 24(R1):R93-R101. PMC: 4572003. DOI: 10.1093/hmg/ddv263. View