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Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes
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Resumo(s)
Introduction: Glucose homeostasis may be dependent on liver conditions and influence health-related markers and quality of life (QoL) objective measurements. This study aimed to analyze the interactions of glycemia with liver and health status in a prediabetic population. Subjects and methods: This study included 2220 overweight/obese prediabetics from the multinational PREVIEW project. Anthropometrics; clinical, metabolic and other health-related markers; and QoL variables were analyzed. Univariate and multilinear-adjusted regression models were run to explain the interrelationships and effect modification between glycemia, health-related QoL (applying SF-12) and metabolic/liver health (using the HSI, a putative marker of fatty liver). Results: Relevant age/sex interactions were found concerning the levels of insulin, HOMA-IR, C peptide and transaminases in this prediabetic population. Multivariate models identified age, sex, glucose, WC and QoL as important predictors of HSI variability (adj. R value = 0.1393, p < 0.001), whereas the QoL status was statistically related to age, sex, HOMA-IR and HSI (adj. R value = 0.1130, p < 0.001) in this glycemia-impaired group. Furthermore, the QoL values declined with increased HSI scores, where a significant interaction was found (p = 0.011) when the data were analyzed when comparing lower glycemia vs. higher glycemia in prediabetics. Indeed, an effect modification was featured depending on the glycemia levels concerning the QoL and HSI worsening. Conclusion: Glycemia associations with the QoL status and liver metabolism markers were evidenced, with clinical implications for diabetes and liver disease precision management given the modification of the QoL outcomes depending on the liver status and glycemia concentrations. Notably, independent associations of circulating glucose with age, sex, adiposity, inflammation and C peptide levels were found.
Descrição
Funding Information: This research was supported by the EU Seventh Framework Programme (FP7; 2007\u20132013) (grant no. 312057), National Health and Medical Research Council (EU Collaborative Grant AUS 8, ID 1067711), Glycemic Index Foundation Australia through royalties to the University of Sydney, Health Research Council of New Zealand (grant no. 14/191), University of Auckland Faculty Research Development Fund, Cambridge Weight Plan, Danish Agriculture and Food Council, Danish Meat Research Institute, National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK), Biotechnology and Biological Sciences Research Council (BBSRC) (UK), Engineering and Physical Sciences Research Council (EPSRC) (UK), Nutritics (Dublin), Juho Vainio Foundation (Finland), Academy of Finland (grants no. 272376, 314383, 266286 and 314135), Finnish Medical Foundation, Gyllenberg Foundation (Finland), Novo Nordisk Foundation, Finnish Diabetes Research Foundation, University of Helsinki, Government Research Funds for Helsinki University Hospital, Jenny and Antti Wihuri Foundation (Finland), Emil Aaltonen Foundation (Finland) and China Scholarship Council. Funding Information: Anne Raben reports financial support was provided by European Commission Seventh Framework Programme for Research and Technological Development Health. Jennie Brand-Miller reports financial support was provided by National Health and Medical Research Council. Sally D Poppit reports financial support was provided by Health Research Council of New Zealand. Anne Raben reports financial support was provided by Danish Meat Research Institute. I.M. reports financial support was provided by National Institute for Health Research Maudsley Biomedical Research Centre. I.M. reports financial support was provided by Biotechnology and Biological Sciences Research Council. Mikael Fogelholm reports financial support was provided by Juho Vainio Fundation. Mikael Fogelholm reports financial support was provided by Finnish Medical Foundation. Anne Raben reports a relationship with Unilever Plc that includes consulting or advising. Anne Raben reports a relationship with International Sweeteners Association that includes consulting or advising. Jennie Brand-Miller reports a relationship with Glycemic Index Foundation that includes board membership. Jennie Brand-Miller reports a relationship with Novo Nordisk Foundation that includes board membership. Sally D Poppit was the Fonterra Chair in Human Nutrition during the PREVIEW intervention. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Publisher Copyright: © 2024 by the authors.
Palavras-chave
adiposity fatty liver prediabetes quality of life Clinical Biochemistry SDG 3 - Good Health and Well-being