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Comparative metabolomic analysis of mouse plasma in response to different dietary conditions

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Abstract

Plasma metabolites offer insights into aging processes and aging-related biomarkers. Here, the dietary effects of various functional foods on older adult mice were evaluated using metabolomic techniques. Fifty-week-old mice were divided into four groups (n = 4 each) and fed either a normal diet (AC) or the diets from Triticum aestivum sprout (TA), Schisandra chinensis (SZ), or Pisum sativum sprout (PS) extracts. Additionally, a group of 8-week-old mice fed a normal diet (YC; n = 5) was included for the comparison. The PS group had a significantly lower free fatty acid content and higher ornithine, proline, citric acid, and oxalic acid contents than the AC group. The PS group also showed reduced oxidative stress and muscle damage, suggesting the higher anti-aging efficacy of P. sativum sprouts than the other diets. These findings suggest plasma metabolite profiling is an effective tool to assess the anti-aging effects of functional foods.

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References

  • Adachi Y, Ono N, Imaizumi A, Muramatsu T, Andou T, Shimodaira Y, Nagao K, Kageyama Y, Mori M, Noguchi Y, Hashizume N, Nukada H. Plasma amino acid profile in severely frail elderly patients in Japan. International Journal of Gerontology. 12: 290-293 (2018)

    Article  Google Scholar 

  • Blasco H, Błaszczyński J, Billaut JC, Nadal-Desbarats L, Pradat PF, Devos D, Moreau C, Andres CR, Emond P, Corcia P, Słowiński R. Comparative analysis of targeted metabolomics: dominance-based rough set approach versus orthogonal partial least square-discriminant analysis. Journal of Biomedical Informatics. 53: 291-299 (2015)

    Article  CAS  PubMed  Google Scholar 

  • Bonomini F, Rodella LF, Rezzani R. Metabolic syndrome, aging and involvement of oxidative stress. Aging and Disease. 6: 109 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  • Borges-Martínez E, Gallardo-Velázquez T, Cardador-Martínez A, Moguel-Concha D, Osorio-Revilla G, Ruiz-Ruiz JC, Martínez CJ. Phenolic compounds profile and antioxidant activity of pea (Pisum sativum L.) and black bean (Phaseolus vulgaris L.) sprouts. Food Science and Technology. 42: e45920 (2021)

    Google Scholar 

  • Cheel J, Theoduloz C, Rodríguez J, Schmeda-Hirschmann G. Free radical scavengers and antioxidants from Lemongrass (Cymbopogon citratus (DC.) Stapf.). Journal of Agricultural and Food Chemistry. 53: 2511-2517 (2005)

    Article  CAS  PubMed  Google Scholar 

  • Delwing D, Delwing D, Sanna RJ, Wofchuk S, Wyse AT. Proline promotes decrease in glutamate uptake in slices of cerebral cortex and hippocampus of rats. Life Sciences. 81: 1645-1650 (2007)

    Article  CAS  PubMed  Google Scholar 

  • Ferreira AG, Scherer EB, da Cunha AA, Manfredini V, Biancini GB, Vanzin CS, Vargas CR, Wyse AT. Hyperprolinemia induces DNA, protein and lipid damage in blood of rats: antioxidant protection. The International Journal of Biochemistry and Cell Biology. 54: 20-25 (2014)

    Article  CAS  PubMed  Google Scholar 

  • Godzien J, Alonso-Herranz V, Barbas C, Armitage EG. Controlling the quality of metabolomics data: new strategies to get the best out of the QC sample. Metabolomics. 11: 518-528 (2015)

    Article  CAS  Google Scholar 

  • Hao Z, Xu G, Yuan M, Tan R, **a Y, Liu Y, Yin X. Leucine supplementation in middle-aged male mice improved aging-induced vascular remodeling and dysfunction via activating the Sirt1-Foxo1 axis. Nutrients. 14: 3856 (2022)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ilaiwy A, Quintana MT, Bain JR, Muehlbauer MJ, Brown DI, Stansfield WE, Willis MS. Cessation of biomechanical stretch model of C2C12 cells models myocyte atrophy and anaplerotic changes in metabolism using non-targeted metabolomics analysis. The International Journal of Biochemistry and Cell Biology. 79: 80-92 (2016)

    Article  CAS  PubMed  Google Scholar 

  • Jędrusek-Golińska A, Górecka D, Buchowski M, Wieczorowska-Tobis K, Gramza-Michałowska A, Szymandera-Buszka K. Recent progress in the use of functional foods for older adults: a narrative review. Comprehensive Reviews in Food Science and Food Safety. 19: 835-856 (2020)

    Article  PubMed  Google Scholar 

  • Kim Y-T, Jeon H, Kim S, Heo K, Shim J, Lee J, Yang D, Kang SC. Fermented antler recovers stamina, muscle strength and muscle mass in middle-aged mice. Applied Sciences. 12: 106 (2021)

    Article  Google Scholar 

  • Kim YJ, Park BS, Song N, Tu TH, Lee S, Kim JK, Kim JG. Metabolic profiling in the hypothalamus of aged mice. Biochemical and Biophysical Research Communications. 599: 134-141 (2022)

    Article  CAS  PubMed  Google Scholar 

  • Kondoh H, Kameda M, Yanagida M. Whole blood metabolomics in aging research. International Journal of Molecular Sciences. 22: 175 (2020)

    Article  PubMed  PubMed Central  Google Scholar 

  • Korol L, Stepanova N, Vasylchenko V, Snisar L, Lebid L, Kolesnyk M. Plasma oxalic acid as a trigger for oxidative processes in end-stage renal disease patients. Ukrainian Journal of Nephrology and Dialysis. 1: 46-53 (2021)

    Article  Google Scholar 

  • Lee H, Yang JY, Ra JE, Ahn HJ, Lee MJ, Kim HY, Song S-Y, Kim DH, Lee JH, Seo WD. Elucidation of phenolic metabolites in wheat seedlings (Triticum aestivum L.) by NMR and HPLC-Q-Orbitrap-MS/MS: changes in isolated phenolics and antioxidant effects through diverse growth times. Food Chemistry X. 17: 100557 (2023)

    Article  CAS  PubMed  Google Scholar 

  • Liguori I, Russo G, Curcio F, Bulli G, Aran L, Della-Morte D, Gargiulo G, Testa G, Francesco C, Bonaduce D, Abete P. Oxidative stress, aging, and diseases. Clinical Interventions in Aging. 13: 757-772 (2018)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Marini JC. Arginine and ornithine are the main precursors for citrulline synthesis in mice. The Journal of Nutrition. 142: 572-580 (2012)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • May DH, Navarro SL, Ruczinski I, Hogan J, Ogata Y, Schwarz Y, Levy L, Holzman T, McIntosh MW, Lampe JW. Metabolomic profiling of urine: response to a randomised, controlled feeding study of select fruits and vegetables, and application to an observational study. British Journal of Nutrition. 110: 1760-1770 (2013)

    Article  CAS  PubMed  Google Scholar 

  • Moinard C, Le Plenier S, Noirez P, Morio B, Bonnefont-Rousselot D, Kharchi C, Ferry A, Neveux N, Cynober L, Raynaud-Simon A. Citrulline supplementation induces changes in body composition and limits age-related metabolic changes in healthy male rats. The Journal of Nutrition. 145: 1429-1437 (2015)

    Article  CAS  PubMed  Google Scholar 

  • Mydlik M, Derzsiova K. Oxalic acid—important uremic toxin. Vnitrni Lekarstvi. 56: 695-701 (2010)

    CAS  PubMed  Google Scholar 

  • North BJ, Sinclair DA. The intersection between aging and cardiovascular disease. Circulation Research. 110: 1097-1108 (2012)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Park YJ, Kim YJ, Park SU, Kim HY, Yang JY, Song SY, Lee MJ, Seo WD, Kim JK. Lipids and volatile organic compounds in sesame seeds and their relationships with environmental temperature-induced stress. Food Research International. 169: 112831 (2023)

    Article  CAS  PubMed  Google Scholar 

  • Santos JL, Ruiz-Canela M, Razquin C, Clish CB, Guasch-Ferré M, Babio N, Corella D, Gómez-Gracia E, Fiol M, Estruch R, Lapetra J, Fitó M, Aros F, Serra-Majem L, Liang L, Martínez MÁ, Toledo E, Salas-Salvadó J, Hu FB, Martínez-González MA. Circulating citric acid cycle metabolites and risk of cardiovascular disease in the PREDIMED study. Nutrition, Metabolism and Cardiovascular Diseases. 33: 835-843 (2023)

    Article  CAS  Google Scholar 

  • Shiomi Y, Nishiumi S, Ooi M, Hatano N, Shinohara M, Yoshie T, Kondo Y, Furumatsu K, Shiomi H, Kutsumi H, Azuma T, Yoshida M. GCMS-based metabolomic study in mice with colitis induced by dextran sulfate sodium. Inflammatory Bowel Diseases. 17: 2261-2274 (2011)

    Article  PubMed  Google Scholar 

  • Singh JP, Singh B, Kaur A. Nutraceuticals and functional foods in aging and aging-associated diseases. Nutrition, Food and Diet in Ageing and Longevity. 14: 221-238 (2021)

    Article  Google Scholar 

  • Toyoshima K, Nakamura M, Adachi Y, Imaizumi A, Hakamada T, Abe Y, Kaneko E, Takahashi S, Shimokado K. Increased plasma proline concentrations are associated with sarcopenia in the elderly. PLoS ONE. 12: e0185206 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  • Wang G, Zhou Y, Huang FJ, Tang HD, Xu XH, Liu JJ, Wang Y, Deng YL, Ren RJ, Xu W, Ma JF, Zhang YN, Zhao AH, Chen SD, Jia W. Plasma metabolite profiles of Alzheimer’s disease and mild cognitive impairment. Journal of Proteome Research. 13: 2649-2658 (2014)

    Article  CAS  PubMed  Google Scholar 

  • Wang F, Baden MY, Guasch-Ferré M, Wittenbecher C, Li J, Li Y, Wan Y, Bhupathiraju SN, Tobias DK, Clish CB, Mucci LA, Eliassen AH, Costenbader KH, Karlson EW, Ascherio A, Rimm EB, Manson JE, Liang L, Hu FB. Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes. Diabetologia. 65: 1119-1132 (2022)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wu DT, Li WX, Wan JJ, Hu YC, Gan RY, Zou L. A comprehensive review of pea (Pisum sativum L.): chemical composition, processing, health benefits, and food applications. Foods. 12: 2527 (2023)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Yang S, Yuan C. Schisandra chinensis: a comprehensive review on its phytochemicals and biological activities. Arabian Journal of Chemistry. 14: 103310 (2021)

    Article  CAS  Google Scholar 

  • Yoon D, Choi BR, Ma S, Lee JW, Jo IH, Lee YS, Kim GS, Kim S, Lee DY. Metabolomics for age discrimination of ginseng using a multiplex approach to HR-MAS NMR spectroscopy, UPLC–QTOF/MS, and GC × GC–TOF/MS. Molecules. 24: 2381 (2019)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Yuan L, Wang J, Wu W, Liu Q, Liu X. Effect of isoorientin on intracellular antioxidant defence mechanisms in hepatoma and liver cell lines. Biomedicine and Pharmacotherapy. 81: 356-362 (2016)

    Article  CAS  PubMed  Google Scholar 

  • Yue T, Tan H, Shi Y, Xu M, Luo S, Weng J, Xu S. Serum metabolomic profiling in aging mice using liquid chromatography–mass spectrometry. Biomolecules. 12: 1594 (2022)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported by a Grant from the “Cooperative Research Program for Agriculture Science & Technology Development (Project No. RS-2022-RD010283)” funded by the Rural Development Administration (RDA), Republic of Korea and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2022R1A6A3A01087368), Republic of Korea.

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Author notes

  1. So Hwi Yang and Ye ** Kim contributed equally to this work as co-first authors.

Authors and Affiliations

  1. Division of Life Sciences, College of Life Sciences, and Bioengineering, Incheon National University, Inchon, 22012, Republic of Korea

    So Hwi Yang, Ye ** Kim & Jae Kwang Kim

  2. Division of Crop Foundation, National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk, 55365, Republic of Korea

    HanGyeol Lee & Woo Duck Seo

  3. Department of Food Science and Nutrition, Kyungpook National University, 1370 San-Kyuk Dong, Puk-Ku, Daegu, 702-701, Republic of Korea

    Eun Young Kwon

  4. Convergence Research Center for Insect Vectors, Incheon National University, Inchon, 22012, Republic of Korea

    Jae Kwang Kim

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Contributions

SHY: Data curation, writing review and editing. YJK: Formal analysis, writing review and editing. HGL: Investigation, Resources. WDS: Methodology, Resources. EYK: Conceptualization, Writing—original draft. JKK: Conceptualization, supervision, writing review & editing.

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Correspondence to Eun Young Kwon or Jae Kwang Kim.

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Yang, S.H., Kim, Y.J., Lee, H. et al. Comparative metabolomic analysis of mouse plasma in response to different dietary conditions. Food Sci Biotechnol (2023). https://doi.org/10.1007/s10068-023-01479-8

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