Sex differences in the human metabolome
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 identificati...
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| Vydané v: | Biology of sex differences Ročník 13; číslo 1; s. 30 - 18 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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London
BioMed Central
15.06.2022
BioMed Central Ltd Springer Nature B.V BMC |
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| ISSN: | 2042-6410, 2042-6410 |
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| 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.
Graphical Abstract
Highlights
Metabolomics is the gold-standard analytical approach to detect metabolic signatures in human biofluids.
Analyzing the metabolome at the baseline in healthy individuals is important to identify metabolite signatures to be attributed to one sex or both.
Differences in the metabolome of biofluids are sex- and age-dependent.
Sex is not still adequately considered in metabolomics-based investigations. |
|---|---|
| AbstractList | 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.BACKGROUNDThe 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.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.MAIN BODYThis 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.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.CONCLUSIONSThe 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. 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. Graphical Abstract Highlights Metabolomics is the gold-standard analytical approach to detect metabolic signatures in human biofluids. Analyzing the metabolome at the baseline in healthy individuals is important to identify metabolite signatures to be attributed to one sex or both. Differences in the metabolome of biofluids are sex- and age-dependent. Sex is not still adequately considered in metabolomics-based investigations. 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. 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. 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. Graphical Keywords: Metabolomics, Sex differences, Age, Metabolic signature, Liquid biopsy, Biomarkers 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. 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. 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. Metabolomics is the gold-standard analytical approach to detect metabolic signatures in human biofluids.Analyzing the metabolome at the baseline in healthy individuals is important to identify metabolite signatures to be attributed to one sex or both.Differences in the metabolome of biofluids are sex- and age-dependent.Sex is not still adequately considered in metabolomics-based investigations. 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. Highlights Metabolomics is the gold-standard analytical approach to detect metabolic signatures in human biofluids. Analyzing the metabolome at the baseline in healthy individuals is important to identify metabolite signatures to be attributed to one sex or both. Differences in the metabolome of biofluids are sex- and age-dependent. Sex is not still adequately considered in metabolomics-based investigations. |
| ArticleNumber | 30 |
| Audience | Academic |
| Author | Caterino, Marianna Ruoppolo, Margherita Campesi, Ilaria Sotgiu, Giovanni Costanzo, Michele Franconi, Flavia |
| Author_xml | – sequence: 1 givenname: Michele orcidid: 0000-0002-6386-2009 surname: Costanzo fullname: Costanzo, Michele email: michele.costanzo@unina.it organization: Department of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, CEINGE – Biotecnologie Avanzate s.c.ar.l – sequence: 2 givenname: Marianna surname: Caterino fullname: Caterino, Marianna organization: Department of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, CEINGE – Biotecnologie Avanzate s.c.ar.l – sequence: 3 givenname: Giovanni surname: Sotgiu fullname: Sotgiu, Giovanni organization: Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari – sequence: 4 givenname: Margherita surname: Ruoppolo fullname: Ruoppolo, Margherita organization: Department of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, CEINGE – Biotecnologie Avanzate s.c.ar.l – sequence: 5 givenname: Flavia surname: Franconi fullname: Franconi, Flavia organization: Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems – sequence: 6 givenname: Ilaria surname: Campesi fullname: Campesi, Ilaria organization: Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, Department of Biomedical Sciences, University of Sassari |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35706042$$D View this record in MEDLINE/PubMed |
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| PublicationTitle | Biology of sex differences |
| PublicationTitleAbbrev | Biol Sex Differ |
| PublicationTitleAlternate | Biol Sex Differ |
| PublicationYear | 2022 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
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The sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in... The sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in research or... Background The sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in... Metabolomics is the gold-standard analytical approach to detect metabolic signatures in human biofluids.Analyzing the metabolome at the baseline in healthy... Highlights Metabolomics is the gold-standard analytical approach to detect metabolic signatures in human biofluids. Analyzing the metabolome at the baseline in... |
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| SubjectTerms | Age Amino acids Analysis Biomarkers Biomedical and Life Sciences Biomedicine Endocrinology Female Gender differences Gender identity Human Physiology Humans Lipids Liquid biopsy Male Metabolic signature Metabolism Metabolites Metabolome Metabolomics Population studies Precision medicine Review Sex Characteristics Sex differences Sexual dimorphism |
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| Title | Sex differences in the human metabolome |
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