Literature DB >> 32070008

Blood Metabolite Signature of Metabolic Syndrome Implicates Alterations in Amino Acid Metabolism: Findings from the Baltimore Longitudinal Study of Aging (BLSA) and the Tsuruoka Metabolomics Cohort Study (TMCS).

Jackson A Roberts1, Vijay R Varma1, Chiung-Wei Huang2, Yang An2, Anup Oommen3, Toshiko Tanaka4, Luigi Ferrucci4, Palchamy Elango4, Toru Takebayashi5, Sei Harada5, Miho Iida5, Madhav Thambisetty1.   

Abstract

Rapid lifestyle and dietary changes have contributed to a rise in the global prevalence of metabolic syndrome (MetS), which presents a potential healthcare crisis, owing to its association with an increased burden of multiple cardiovascular and neurological diseases. Prior work has identified the role that genetic, lifestyle, and environmental factors can play in the prevalence of MetS. Metabolomics is an important tool to study alterations in biochemical pathways intrinsic to the pathophysiology of MetS. We undertook a metabolomic study of MetS in serum samples from two ethnically distinct, well-characterized cohorts-the Baltimore Longitudinal Study of Aging (BLSA) from the U.S. and the Tsuruoka Metabolomics Cohort Study (TMCS) from Japan. We used multivariate logistic regression to identify metabolites that were associated with MetS in both cohorts. Among the top 25 most significant (lowest p-value) metabolite associations with MetS in each cohort, we identified 18 metabolites that were shared between TMCS and BLSA, the majority of which were classified as amino acids. These associations implicate multiple biochemical pathways in MetS, including branched-chain amino acid metabolism, glutathione production, aromatic amino acid metabolism, gluconeogenesis, and the tricarboxylic acid cycle. Our results suggest that fundamental alterations in amino acid metabolism may be central features of MetS.

Entities:  

Keywords:  amino acids; blood pressure; fasting glucose; metabolic syndrome; metabolomics; triglycerides; waist circumference

Year:  2020        PMID: 32070008     DOI: 10.3390/ijms21041249

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  11 in total

1.  Metabolomics, heart disease and aging.

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2.  A brain proteomic signature of incipient Alzheimer's disease in young APOE ε4 carriers identifies novel drug targets.

Authors:  Jackson A Roberts; Vijay R Varma; Yang An; Sudhir Varma; Julián Candia; Giovanna Fantoni; Vinod Tiwari; Carlos Anerillas; Andrew Williamson; Atsushi Saito; Tina Loeffler; Irene Schilcher; Ruin Moaddel; Mohammed Khadeer; Jacqueline Lovett; Toshiko Tanaka; Olga Pletnikova; Juan C Troncoso; David A Bennett; Marilyn S Albert; Kaiwen Yu; Mingming Niu; Vahram Haroutunian; Bin Zhang; Junmin Peng; Deborah L Croteau; Susan M Resnick; Myriam Gorospe; Vilhelm A Bohr; Luigi Ferrucci; Madhav Thambisetty
Journal:  Sci Adv       Date:  2021-11-10       Impact factor: 14.957

3.  Comparative Evaluation of Plasma Metabolomic Data from Multiple Laboratories.

Authors:  Shin Nishiumi; Yoshihiro Izumi; Akiyoshi Hirayama; Masatomo Takahashi; Motonao Nakao; Kosuke Hata; Daisuke Saigusa; Eiji Hishinuma; Naomi Matsukawa; Suzumi M Tokuoka; Yoshihiro Kita; Fumie Hamano; Nobuyuki Okahashi; Kazutaka Ikeda; Hiroki Nakanishi; Kosuke Saito; Masami Yokota Hirai; Masaru Yoshida; Yoshiya Oda; Fumio Matsuda; Takeshi Bamba
Journal:  Metabolites       Date:  2022-02-01

4.  Natural Phenylethanoid Supplementation Alleviates Metabolic Syndrome in Female Mice Induced by High-Fructose Diet.

Authors:  Xiujun Zhan; Mingshuai He; Jierong Pei; Wenjing Fan; Charity Ngina Mwangi; Peng Zhang; Xin Chai; Miaomiao Jiang
Journal:  Front Pharmacol       Date:  2022-07-19       Impact factor: 5.988

5.  The metabolomic profile associated with clustering of cardiovascular risk factors-A multi-sample evaluation.

Authors:  Lars Lind; Johan Sundström; Sölve Elmståhl; Koen F Dekkers; J Gustav Smith; Gunnar Engström; Tove Fall; Johan Ärnlöv
Journal:  PLoS One       Date:  2022-09-15       Impact factor: 3.752

6.  Study of Longitudinal Aging in Mice: Presentation of Experimental Techniques.

Authors:  Dushani L Palliyaguru; Camila Vieira Ligo Teixeira; Eleonora Duregon; Clara di Germanio; Irene Alfaras; Sarah J Mitchell; Ignacio Navas-Enamorado; Eric J Shiroma; Stephanie Studenski; Michel Bernier; Simonetta Camandola; Nathan L Price; Luigi Ferrucci; Rafael de Cabo
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-03-31       Impact factor: 6.053

7.  Abnormal brain cholesterol homeostasis in Alzheimer's disease-a targeted metabolomic and transcriptomic study.

Authors:  Vijay R Varma; H Büşra Lüleci; Anup M Oommen; Sudhir Varma; Chad T Blackshear; Michael E Griswold; Yang An; Jackson A Roberts; Richard O'Brien; Olga Pletnikova; Juan C Troncoso; David A Bennett; Tunahan Çakır; Cristina Legido-Quigley; Madhav Thambisetty
Journal:  NPJ Aging Mech Dis       Date:  2021-06-01

Review 8.  Detection of Early Disease Risk Factors Associated with Metabolic Syndrome: A New Era with the NMR Metabolomics Assessment.

Authors:  Julia Hernandez-Baixauli; Sergio Quesada-Vázquez; Roger Mariné-Casadó; Katherine Gil Cardoso; Antoni Caimari; Josep M Del Bas; Xavier Escoté; Laura Baselga-Escudero
Journal:  Nutrients       Date:  2020-03-18       Impact factor: 5.717

9.  The prebiotic effects of omega-3 fatty acid supplementation: A six-week randomised intervention trial.

Authors:  Amrita Vijay; Stuart Astbury; Caroline Le Roy; Tim D Spector; Ana M Valdes
Journal:  Gut Microbes       Date:  2021 Jan-Dec

Review 10.  Metabolite G-Protein Coupled Receptors in Cardio-Metabolic Diseases.

Authors:  Derek Strassheim; Timothy Sullivan; David C Irwin; Evgenia Gerasimovskaya; Tim Lahm; Dwight J Klemm; Edward C Dempsey; Kurt R Stenmark; Vijaya Karoor
Journal:  Cells       Date:  2021-11-29       Impact factor: 7.666

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