Phenotypic decanalization driven by social determinants could explain variance patterns for glycemia in adult urban Argentinian population

Author:

Petino Zappala María AlejandraORCID,Folguera Guillermo,Benitez-Vieyra Santiago

Abstract

AbstractType 2 diabetes, one of the major causes of death and disability worldwide, is characterized by problems in the homeostasis of blood glucose. Current preventive policies focus mainly on individual behaviors (diet, exercise, salt and alcohol consumption). Recent hypotheses state that the higher incidence of metabolic disease in some human populations may be related to phenotypic decanalization causing a heightened phenotypic variance in response to unusual or stressful environmental conditions, although the nature of these conditions is under debate. Our aim was to explore variability patterns of fasting blood glucose to test phenotypic decanalization as a possible explanation of heightened prevalence for type 2 diabetes in some groups and to detect variables associated with its variance using a nation-wide survey of Argentinian adult population. We found patterns of higher local variance for fasting glycemia associated with lower income and educational attainment. We detected no meaningful association of glycemia or its variability with covariates related to individual behaviors (diet, physical activity, salt or alcohol consumption). Our results were consistent with the decanalization hypothesis for fasting glycemia, which appears associated to socioeconomic disadvantage. We therefore propose changes in public policy and discuss the implications for data gathering and further analyses.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference54 articles.

1. World Health Organization. Diabetes (2020). https://www.who.int/health-topics/diabetes (Accessed December 2020).

2. Gibson, G. It Takes a Genome: How a Clash Between Our Genes and Modern Life is Making Us Sick 1st edn. (FT Press, 2008).

3. World Health Organization. Global Report on Diabetes (2016). https://www.who.int/publications/i/item/9789241565257 (Accessed May 2021).

4. Carrasco-Sánchez, F. J. et al. Admission hyperglycaemia as a predictor of mortality in patients hospitalized with COVID-19 regardless of diabetes status: Data from the Spanish SEMI-COVID-19 Registry. Ann. Med. 53(1), 103–116. https://doi.org/10.1080/07853890.2020.1836566 (2021).

5. Singh, A. K., Gupta, R., Ghosh, A. & Misra, A. Diabetes in COVID-19: Prevalence, pathophysiology, prognosis and practical considerations. Diabetes Metab. Syndr. Clin. Res. Rev. 14(4), 303–310. https://doi.org/10.1016/j.dsx.2020.04.004 (2020).

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