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

• Authors: M. Neale Weitzmann, Emory University; Roberto Pacifici, Emory University; Thomas Ziegler, Emory University; Dean Jones, Emory University; Jessica Alvarez, Emory University; Ken Liu, Emory University; MP Bellissimo, Emory University; J Fernandes, Univ Oklahoma; JL Roberts, Emory University
• Journal Title: CLINICAL NUTRITION
• Volume: Volume 40, Number 2
• Publisher: CHURCHILL LIVINGSTONE | 2021-02-01, Pages 467-475
• Type of Work: Article
• Publisher DOI: http://doi.org/10.1016/j.clnu.2020.05.041
• Keywords: Science & Technology; Life Sciences & Biomedicine; Nutrition & Dietetics; Inflammation; Nutrition; Omega-6; Fats; PUFA; Skeletal health; POLYUNSATURATED FATTY-ACIDS; INTESTINAL MICROBIOME; PREDICTIVE HEALTH; MASS-SPECTROMETRY; R PACKAGE; DIET; ACTIVATION; FRACTURE; PATTERNS; ADULTS

Abstract

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/cm2) or Z-scores. Multiple linear regression, pathway enrichment, and module analyses were used to determine key plasma metabolic features associated with bone density. 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.