Literature DB >> 31504116

Quantitative assessment of betainized compounds and associations with dietary and metabolic biomarkers in the randomized study of the healthy Nordic diet (SYSDIET).

Marjo Tuomainen1, Olli Kärkkäinen1,2, Jukka Leppänen2, Seppo Auriola2,3, Marko Lehtonen2,3, Markku J Savolainen4, Kjeld Hermansen5, Ulf Risérus6, Björn Åkesson7,8, Inga Thorsdottir9, Marjukka Kolehmainen1, Matti Uusitupa1, Kaisa Poutanen10, Ursula Schwab1,11, Kati Hanhineva1.   

Abstract

BACKGROUND: Recently, a group of betainized compounds have been suggested to play a role in health effects in relation to a whole-grain-rich diet.
OBJECTIVES: The aims of this study were to develop a quantitative mass spectrometric method for selected betainized compounds in human plasma, and to investigate their association with nutrient intake and measures of metabolic health in participants of the SYSDIET study.
METHODS: The SYSDIET study was a controlled randomized intervention including individuals with metabolic syndrome, where the healthy Nordic diet (HND) group increased intakes of whole grains, canola oil, berries, and fish, whereas the control diet (CD) group consumed low-fiber cereal products, milk fat, and restricted amounts of fish and berries. A quantitative LC combined with triple quadrupole MS method for betainized compounds was developed and applied to fasting plasma samples from baseline (week 0) and the end of the intervention (week 18 or 24). Concentrations of betainized compounds were correlated with intakes of selected nutrients and fiber and measures of metabolic health.
RESULTS: Pipecolic acid betaine (PAB) concentrations were significantly higher in the HND group than in the CD group (P = 0.00032) at the end of the intervention and correlated directly (P < 0.0001) with intakes of dietary fiber (r = 0.376) and a biomarker related to whole-grain rye intake, namely the ratio of alkylresorcinol C17:0 to C21:0 (r = 0.442). PAB was associated inversely with fasting plasma insulin consistently at the beginning and at the end of the intervention (P < 0.001, r = -0.300; P < 0.01, r = -0.250, respectively), as well as IL-1 receptor antagonist (P < 0.01, r = -0.232 at the beginning; P < 0.01, r = -0.236 at the end) and serum LDL/HDL cholesterol (P < 0.01, r = -0.239 at the beginning; P < 0.01, r = -0.241 at the end).
CONCLUSIONS: Among adults with the metabolic syndrome, PAB plasma concentrations were associated with fasting insulin, inflammation, and lipids and were significantly increased with adoption of the HND. Further studies are needed to clarify the biological functions of betainized compounds. This trial was registered at clinicaltrials.gov as NCT00992641.
Copyright © American Society for Nutrition 2019.

Entities:  

Keywords:  LC-QQQ-MS; betainized compounds; fiber; healthy Nordic diet; pipecolic acid betaine; quantitative; rye; whole grain

Mesh:

Substances:

Year:  2019        PMID: 31504116     DOI: 10.1093/ajcn/nqz179

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  9 in total

1.  Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study.

Authors:  Stefania Noerman; Jyrki K Virtanen; Marko Lehtonen; Carl Brunius; Kati Hanhineva
Journal:  Eur J Nutr       Date:  2022-10-06       Impact factor: 4.865

2.  Plasma Metabolite Response to Simple, Refined and Unrefined Carbohydrate-Enriched Diets in Older Adults-Randomized Controlled Crossover Trial.

Authors:  Neil K Huang; Nirupa R Matthan; Gregory Matuszek; Alice H Lichtenstein
Journal:  Metabolites       Date:  2022-06-15

3.  Integrating Choline and Specific Intestinal Microbiota to Classify Type 2 Diabetes in Adults: A Machine Learning Based Metagenomics Study.

Authors:  Qiang Zeng; Mingming Zhao; Fei Wang; Yanping Li; Huimin Li; Jianqiong Zheng; Xianyang Chen; Xiaolan Zhao; Liang Ji; Xiangyang Gao; Changjie Liu; Yu Wang; Si Cheng; Jie Xu; Bing Pan; Jing Sun; Yongli Li; Dongfang Li; Yuan He; Lemin Zheng
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-27       Impact factor: 6.055

4.  Biomarkers of dietary patterns: a systematic review of randomized controlled trials.

Authors:  Shuang Liang; Reeja F Nasir; Kim S Bell-Anderson; Clémence A Toniutti; Fiona M O'Leary; Michael R Skilton
Journal:  Nutr Rev       Date:  2022-07-07       Impact factor: 6.846

Review 5.  Biomarkers of a Healthy Nordic Diet-From Dietary Exposure Biomarkers to Microbiota Signatures in the Metabolome.

Authors:  Rikard Landberg; Kati Hanhineva
Journal:  Nutrients       Date:  2019-12-20       Impact factor: 5.717

6.  SIRT3 Modulates Endothelial Mitochondrial Redox State during Insulin Resistance.

Authors:  Elisa Martino; Anna Balestrieri; Camilla Anastasio; Martina Maione; Luigi Mele; Domenico Cautela; Giuseppe Campanile; Maria Luisa Balestrieri; Nunzia D'Onofrio
Journal:  Antioxidants (Basel)       Date:  2022-08-19

7.  IL-1 Receptor Antagonist (IL-1Ra) Levels and Management of Metabolic Disorders.

Authors:  Kari Luotola
Journal:  Nutrients       Date:  2022-08-19       Impact factor: 6.706

8.  Homostachydrine is a Xenobiotic Substrate of OCTN1/SLC22A4 and Potentially Sensitizes Pentylenetetrazole-Induced Seizures in Mice.

Authors:  Misa Nishiyama; Noritaka Nakamichi; Tomoyuki Yoshimura; Yusuke Masuo; Tomoe Komori; Takahiro Ishimoto; Jun-Ichi Matsuo; Yukio Kato
Journal:  Neurochem Res       Date:  2020-08-26       Impact factor: 3.996

9.  "notame": Workflow for Non-Targeted LC-MS Metabolic Profiling.

Authors:  Anton Klåvus; Marietta Kokla; Stefania Noerman; Ville M Koistinen; Marjo Tuomainen; Iman Zarei; Topi Meuronen; Merja R Häkkinen; Soile Rummukainen; Ambrin Farizah Babu; Taisa Sallinen; Olli Kärkkäinen; Jussi Paananen; David Broadhurst; Carl Brunius; Kati Hanhineva
Journal:  Metabolites       Date:  2020-03-31
  9 in total

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