An attempt to differentiate dysmetabolism variants based on biological age in combination with the induction of physiological ketosis: mini-review and own results

Volume 7, Issue 1, February 2023     |     PP. 1-13      |     PDF (226 K)    |     Pub. Date: January 25, 2023
DOI: 10.54647/pmh33243    109 Downloads     103371 Views  

Author(s)

Marakhouski Y.K., State Educational Institution "Belarusian Medical Academy of Postgraduate Education", Minsk, Belarus
Zharskaya O.M., State Educational Institution "Belarusian Medical Academy of Postgraduate Education", Minsk, Belarus

Abstract
Background. Metabolic flexibility describes the body's adaptive ability to changing metabolic or energy requirements.
Objective. To determine the possibility of detecting dysmetabolism based on bioimpedancometry (systemic dysmetabolism) and metabolic flexibility (local dysmetabolism) by the intensity of switching from the glucogenic to the ketogenic variant of energy supply. Biological (metabolic) clock was calculated by the difference between chronological age (CHR-age) minus biological (metabolic) age (MET-age), as more than 1year difference.
Material and Methods. The biological age was determined with tetrapolar bioimpedansometry. The amino acid L-lysine was taken orally to induce ketosis, the content of ketones in the exhaled air was dynamically recorded for 3 hours.
Results. Group with younger MET-age FM(fate mass): r = -0,36; p = 0,04( y = 18,1 - 0,08*x) and intracellular fluid (ICF): r = -0,5 p = 0,002( y = 1796,2 - 8,9*x) and group with older MET-age - ICF: r = -0,32; p = 0,074 (y = 24,38 - 0,08*x) (not significant or loss of reliability), FM: r = -0,36; p = 0,04 (y = 18,1 - 0,08*x). At the same time, highly sensitive CRP (hsCRP) above 5 mg/l was found much more often in group (26% v.s.2%, Chi-square (df=1) - 6,50, p= 0,01), as well as cholesterol over 6.5 mmol/l. Moreover, hsCRP significant more higher in older MET-age group: mean - 3,5 (95%CI =2,3 - 4,7) v.s. 1,9 (95%CI=1,5 - 2,3). These data clearly indicate the presence metabolic dysfunction (systemic dysmetabolism) in the group with premature metabolic (biological) age. A significant relationship was found between the degree of hepatic ketosis and the difference between biological and chronological age, i.e. younger age was characterized by higher metabolic flexibility. The KETO-MET-younger group (group-2) has significantly more Body Cells Mass (BCM) proportion (50,5 (95%CI =50,0-51,1) v.s. 43,9(95%CI =42,8-45,0) ) and less content of Fat Mass (in kg) (14,7 (95%CI =13,7-15,6) v.s. 27,9(95%CI =25,3-30,5), according to the results of BIM-V. KETO-Lysine test revealed a significantly more frequent increase in blood ALT activity (more than 30 IU) in the older MET-age group (41% vs. 5%),
Conclusions. The results deepen the scientific understanding of the metabolic flexibility assessment according to the original indicator - the induction of physiological ketosis by an amino acid metabolized in the liver, and make it possible to implement a personalized approach in the diagnosis and differentiation of metabolic disorders.

Keywords
Metabolic flexibility, bioimpedancometry, ketosis, biological age.

Cite this paper
Marakhouski Y.K., Zharskaya O.M., An attempt to differentiate dysmetabolism variants based on biological age in combination with the induction of physiological ketosis: mini-review and own results , SCIREA Journal of Health. Volume 7, Issue 1, February 2023 | PP. 1-13. 10.54647/pmh33243

References

[ 1 ] Overweight, obesity, and risk of cardiometabolic multimorbidity: pooled analysis of individual-level data for 120 813 adults from 16 cohort studies from the USA and Europe / M. Kivimäki [et al.] // Lancet Public Health. – 2017. – Vol. 2, iss. 6. – P. e277–e285.
[ 2 ] Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5·24 million UK adults / K. Bhaskaran [et al.] // Lancet Lond. Engl.– 2014. – Vol. 384, iss. 9945. – P. 755–765.
[ 3 ] Association of anthropometry and weight change with risk of dementia and its major subtypes: a meta-analysis consisting 2.8 million adults with 57,294 cases of dementia / C.M. Lee [et al.] // Obes. Rev. Off. J. Int. Assoc. Study Obes. – 2020. – Vol. 21, iss. 4. –P. e12989.
[ 4 ] The hallmarks of aging / C. López-Otín [et al.] // Cell. – 2013. – Vol. 153m iss. 6. – P. 1194–1217.
[ 5 ] The emerging role of metabolomics in the diagnosis and prognosis of cardiovascular disease/ J.R. Ussher [et al.] // J. Am. Coll. Cardiol. – 2016. – Vol. 68, iss. 25. – P. 2850–2870.
[ 6 ] Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinicaltrial data / J.M. Dennis [et al.] // Lancet Diab. Endocrinol. – 2019. – Vol. 7, iss. 6. – P. 442–451.
[ 7 ] Williams, G.C. Pleiotropy, natural selection, and the evolution of senescence / G.C. Williams // Evolution. – 1957. – Vol. 11. – P. 398–411.
[ 8 ] Wiley, C. D. From Ancient Pathways to Aging Cells-Connecting Metabolism and Cellular Senescence / C.D. Wiley, J. Campisi //Cell Metab. – 2016.- Vol. 23. – P. 1013–1021.
[ 9 ] Patel, C. et al. Arginase as a mediator of diabetic retinopathy / C. Patel [et al.] // Front Immunol. – 2013. - Vol. 4. – P. 173-184.
[ 10 ] Blazer, S. et al. High glucose-induced replicative senescence: point of no return and effect of telomerase / S. Blazer [et al.] // Biochem. Biophys. Res. Commun. – 2002. – Vol. 296. – P. 93–101.
[ 11 ] A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement / M. Eslam [et al.] // Journal of Hepatology. – 2020. – Vol. 73, iss. 1. – P. 202-209.
[ 12 ] Nwanaji-Enwerem, J.C. Redefining age-based screening and diagnostic guidelines: an opportunity for biological aging clocks in clinical medicine? / J.C. Nwanaji-Enwerem, W.B. Mair // Lancet Gastroenterol Hepatol. – 2022. – Vol. 3, iss. 6. – P. E376-E377.
[ 13 ] Cross-sectional metabolic subgroups and 10-year follow-up of cardiometabolic multimorbidity in the UK Biobank / A. Mulugeta [et al.] // Sci Rep.– 2022. – Vol. 12. – P. 85-90.
[ 14 ] Murray, M.T. SAMe (S-Adenosylmethionine) / M.T. Murray // Textbook of Natural Medicine (Fifth Edition) / ed. J.E. Pizzorno, M.T. Murray. - Churchill Livingstone, 2020. – P. 841-844.
[ 15 ] Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities / Fedor Galkin [et al.] // Ageing Research Reviews. – 2020. – Vol. 60. – P. 1568-1637.
[ 16 ] S-Adenosylmethionine: From the Discovery of Its Inhibition of Tumorigenesis to Its Use as a Therapeutic Agent / Pascale RM [et al.] // Cells. – 2022. – Vol. 11, iss. 3. – P. 409.
[ 17 ] Wiley, C. D. The metabolic roots of senescence: mechanisms and opportunities for intervention / C.D. Wiley, J. Campisi // Nat Metab. – 2021. –Vol. 3, iss. 10. – P. 1290-1301.
[ 18 ] Regulation of fatty acid synthesis and Delta-desaturation in senescence of human fbroblasts / Maeda, M. [et al.] // Life Sci. – 2009. – Vol. 84. – P.119–124.
[ 19 ] Five insights of the Global Burden of Disease Study 2019 / GBD 2019 Viewpoint Collaborators // Lancet. – 2020. – Vol. 396, iss. 10258. – P. 1135-1159.
[ 20 ] Metabolic Flexibility in Health and Disease / H. Brett [et al.] // Cell Metabolism. – 2017. – Vol. 25, iss. 5. – P. 1027 – 1036.
[ 21 ] Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease / R.L. Smith [et al.] // Endocr Rev. – 2018. – Vol. 39, iss. 4. – P. 489-517.
[ 22 ] Matthews, D.E. Review of Lysine Metabolism with a Focus on Humans/ D.E. Matthews // The Journal of Nutrition. – 2020. – Vol. 150, iss.1. – P. 2548S–2555S.
[ 23 ] Yury Marakhouski, Olga Zharskaya, A new non-invasive test with the potential to liver metabolic dysfunction assess. Abstract Book. GASTRO 2021 Prague. A Joint Meeting WGO/CSG, P- 148, 9–11 December 2021.