Plasma high-resolution metabolomics identifies linoleic acid and linked metabolic pathways associated with bone mineral density.

Absorptiometry, Photon Adult Biomarkers / analysis Bone Density Chromatography, Liquid / methods Cross-Sectional Studies Female Humans Linear Models Linoleic Acid / blood Lumbar Vertebrae / diagnostic imaging Male Mass Spectrometry / methods Metabolic Networks and Pathways Metabolomics / methods Middle Aged Prostaglandins / blood Risk Assessment
Fats Inflammation Nutrition Omega-6 PUFA Skeletal health

Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
02 2021
Historique:
received: 11 12 2019
revised: 16 03 2020
accepted: 25 05 2020
pubmed: 6 7 2020
medline: 24 8 2021
entrez: 5 7 2020
Statut: ppublish

Résumé

There is a considerable degree of variation in bone mineral density (BMD) within populations. Use of plasma metabolomics may provide insight into established and novel determinants of BMD variance, such as nutrition and gut microbiome composition, to inform future prevention and treatment strategies for loss of BMD. Using high-resolution metabolomics (HRM), we examined low-molecular weight plasma metabolites and nutrition-related metabolic pathways associated with BMD. This cross-sectional study included 179 adults (mean age 49.5 ± 10.3 yr, 64% female). Fasting plasma was analyzed using ultra-high-resolution mass spectrometry with liquid chromatography. Whole body and spine BMD were assessed by dual energy X-ray absorptiometry and expressed as BMD (g/cm Of 10,210 total detected metabolic features, whole body BMD Z-score was associated with 710 metabolites, which were significantly enriched in seven metabolic pathways, including linoleic acid, fatty acid activation and biosynthesis, and glycerophospholipid metabolism. Spine BMD was associated with 970 metabolites, significantly enriched in pro-inflammatory pathways involved in prostaglandin formation and linoleic acid metabolism. In module analyses, tryptophan- and polyamine-derived metabolites formed a network that was significantly associated with spine BMD, supporting a link with the gut microbiome. Plasma HRM provides comprehensive information relevant to nutrition and components of the microbiome that influence bone health. This data supports pro-inflammatory fatty acids and the gut microbiome as novel regulators of postnatal bone remodeling.

Sections du résumé

BACKGROUND & AIMS
There is a considerable degree of variation in bone mineral density (BMD) within populations. Use of plasma metabolomics may provide insight into established and novel determinants of BMD variance, such as nutrition and gut microbiome composition, to inform future prevention and treatment strategies for loss of BMD. Using high-resolution metabolomics (HRM), we examined low-molecular weight plasma metabolites and nutrition-related metabolic pathways associated with BMD.
METHODS
This cross-sectional study included 179 adults (mean age 49.5 ± 10.3 yr, 64% female). Fasting plasma was analyzed using ultra-high-resolution mass spectrometry with liquid chromatography. Whole body and spine BMD were assessed by dual energy X-ray absorptiometry and expressed as BMD (g/cm
RESULTS
Of 10,210 total detected metabolic features, whole body BMD Z-score was associated with 710 metabolites, which were significantly enriched in seven metabolic pathways, including linoleic acid, fatty acid activation and biosynthesis, and glycerophospholipid metabolism. Spine BMD was associated with 970 metabolites, significantly enriched in pro-inflammatory pathways involved in prostaglandin formation and linoleic acid metabolism. In module analyses, tryptophan- and polyamine-derived metabolites formed a network that was significantly associated with spine BMD, supporting a link with the gut microbiome.
CONCLUSIONS
Plasma HRM provides comprehensive information relevant to nutrition and components of the microbiome that influence bone health. This data supports pro-inflammatory fatty acids and the gut microbiome as novel regulators of postnatal bone remodeling.

Identifiants

DOI: 10.1016/j.clnu.2020.05.041 PMID: 32620447 PMC: PMC7714706
pubmed: 32620447
pii: S0261-5614(20)30277-6
doi: 10.1016/j.clnu.2020.05.041
pmc: PMC7714706
mid: NIHMS1608478
pii:
doi:

Substances chimiques

Biomarkers 0
Prostaglandins 0
Linoleic Acid 9KJL21T0QJ

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

467-475

Subventions

Organisme : NIDDK NIH HHS
ID : K24 DK096574
Pays : United States
Organisme : NIA NIH HHS
ID : U54 AG062334
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK108842
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG066559
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002378
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK124821
Pays : United States
Organisme : BLRD VA
ID : I01 BX000105
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES019776
Pays : United States
Organisme : NIDDK NIH HHS
ID : K01 DK102851
Pays : United States
Organisme : NIDDK NIH HHS
ID : R03 DK117246
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK112946
Pays : United States
Organisme : NIAID NIH HHS
ID : R38 AI140299
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR028009
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR068157
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR070091
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

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Auteurs

Moriah P Bellissimo (MP)

Nutrition and Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA, USA; Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA, USA.

Thomas R Ziegler (TR)

Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA, USA; Atlanta Department of Veterans Affairs Medical Center, Decatur, GA, USA; Emory Microbiome Research Center, Emory University, Atlanta, GA, USA. Electronic address: tzieg01@emory.edu.

Dean P Jones (DP)

Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA, USA; Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

Ken H Liu (KH)

Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

Jolyn Fernandes (J)

Department of Pediatrics, Section of Neonatal-Perinatal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Joseph L Roberts (JL)

Nutrition and Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA, USA; Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA.

M Neale Weitzmann (MN)

Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Atlanta Department of Veterans Affairs Medical Center, Decatur, GA, USA; Emory Microbiome Research Center, Emory University, Atlanta, GA, USA.

Roberto Pacifici (R)

Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Emory Microbiome Research Center, Emory University, Atlanta, GA, USA; Immunology and Molecular Pathogenesis Program, Emory University, Atlanta, GA, USA.

Jessica A Alvarez (JA)

Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA, USA; Emory Microbiome Research Center, Emory University, Atlanta, GA, USA. Electronic address: jessica.alvarez@emory.edu.

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Photométrie › Densitométrie › Absorptiométrie photonique › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système locomoteur › Densité osseuse › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Chromatographie › Chromatographie en phase liquide › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de régression › Modèles linéaires › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Lipides › Acides gras › Acides gras insaturés › Acides gras omega-6 › Acides linoléiques › Acide linoléique › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Appareil locomoteur › Squelette › Rachis › Vertèbres lombales › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Spectrométrie de masse › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Métabolisme › Voies et réseaux métaboliques › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Disciplines des sciences naturelles › Chimie › Biochimie › Métabolomique › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Facteurs biologiques › Médiateurs de l'inflammation › Autacoïdes › Éicosanoïdes › Prostaglandines › Plasma high-resolution metabolomics identifies...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Appréciation des risques › Plasma high-resolution metabolomics identifies...