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Greater risk of severe COVID-19 in Black, Asian and Minority Ethnic populations is not explained by cardiometabolic, socioeconomic or behavioural factors, or by 25(OH)-vitamin D status: study of 1326 cases from the UK Biobank.
Raisi-Estabragh, Z, McCracken, C, Bethell, MS, Cooper, J, Cooper, C, Caulfield, MJ, Munroe, PB, Harvey, NC, Petersen, SE
Journal of public health (Oxford, England). 2020;42(3):451-460
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The coronavirus disease 2019 (COVID-19) pandemic has to date resulted in over 6 million cases. Growing reports highlight men and Black, Asian and Minority Ethnic (BAME) cohorts as at higher risk of adverse COVID-19 outcomes. The aim of this study was to investigate whether differential patterns of COVID-19 incidence and severity, by sex and ethnicity, might be explained by cardiometabolic, socio-economic, lifestyle and behavioural exposures. This study is a prospective cohort study of over half a million men and women from across the UK. Results showed that male sex, BAME ethnicity, higher body mass index and greater household size were associated with significantly greater odds of a positive result. However, the sex and ethnicity differential pattern of COVID-19 is not adequately explained by variations in cardiometabolic factors, 25(OH)-vitamin D levels, socio-economic or behavioural factors. Authors conclude that investigation of alternative biological and genetic susceptibilities as well as more comprehensive assessment of the complex economic, social and behavioural differences should be prioritised.
Abstract
BACKGROUND We examined whether the greater severity of coronavirus disease 2019 (COVID-19) amongst men and Black, Asian and Minority Ethnic (BAME) individuals is explained by cardiometabolic, socio-economic or behavioural factors. METHODS We studied 4510 UK Biobank participants tested for COVID-19 (positive, n = 1326). Multivariate logistic regression models including age, sex and ethnicity were used to test whether addition of (1) cardiometabolic factors [diabetes, hypertension, high cholesterol, prior myocardial infarction, smoking and body mass index (BMI)]; (2) 25(OH)-vitamin D; (3) poor diet; (4) Townsend deprivation score; (5) housing (home type, overcrowding) or (6) behavioural factors (sociability, risk taking) attenuated sex/ethnicity associations with COVID-19 status. RESULTS There was over-representation of men and BAME ethnicities in the COVID-19 positive group. BAME individuals had, on average, poorer cardiometabolic profile, lower 25(OH)-vitamin D, greater material deprivation, and were more likely to live in larger households and in flats/apartments. Male sex, BAME ethnicity, higher BMI, higher Townsend deprivation score and household overcrowding were independently associated with significantly greater odds of COVID-19. The pattern of association was consistent for men and women; cardiometabolic, socio-demographic and behavioural factors did not attenuate sex/ethnicity associations. CONCLUSIONS In this study, sex and ethnicity differential pattern of COVID-19 was not adequately explained by variations in cardiometabolic factors, 25(OH)-vitamin D levels or socio-economic factors. Factors which underlie ethnic differences in COVID-19 may not be easily captured, and so investigation of alternative biological and genetic susceptibilities as well as more comprehensive assessment of the complex economic, social and behavioural differences should be prioritised.
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Brain-Behavior-Immune Interaction: Serum Cytokines and Growth Factors in Patients with Eating Disorders at Extremes of the Body Mass Index (BMI) Spectrum.
Caroleo, M, Carbone, EA, Greco, M, Corigliano, DM, Arcidiacono, B, Fazia, G, Rania, M, Aloi, M, Gallelli, L, Segura-Garcia, C, et al
Nutrients. 2019;11(9)
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Eating disorders such as anorexia, binge eating and night-time eating cause great fluctuations in body mass and have also been shown to alter the immune system, and more specifically markers of inflammation called cytokines. In this observational study of 90 patients with known eating disorders, the researchers tried to identify how much BMI, ‘underweightness’ and malnutrition influenced the body’s pro-inflammatory response and upset the normal immune response. They found that many inflammatory cytokines were elevated in the blood samples taken, a likely response to the conditions of stress in the body. These cytokines are known to interact with the nervous system and were also influenced by other common symptoms such as depression. They were able to group the differences in cytokines for anorexia nervosa, binge-eating disorder, post-dinner eating, night-eating, sweet-eating and fasting. These markers of dysfunctional eating behaviours may help form part of a therapeutic approach to treating eating disorders based on supporting the immune response and reducing inflammation to stabilise metabolic processes. Future studies in a larger population of patients is necessary to determine the relevance of these findings.
Abstract
Alterations of the immune system are known in eating disorders (EDs), however the importance of cytokine balance in this context has not been clarified. We compared cytokines and growth factors at opposite ends of BMI ranges, in 90 patients classified in relation to BMI, depressive and EDs comorbidities. Serum concentrations of interleukin (IL)-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, interferon-gamma (IFN-γ), tumor necrosis factor-alpha (TNF-α), monocyte chemoattractant protein-1 (MCP-1), vascular endothelial growth factor (VEGF), and epidermal growth factor (EGF) were determined by a biochip analyzer (Randox Labs). Differences were calculated through ANOVA. Possible predictors of higher cytokine levels were evaluated through regression analysis. IL-1α, IL-10, EGF, and IFN-γ were altered individuals with anorexia nervosa (AN) and binge eating disorder (BED). Night-eating was associated with IL-8 and EGF levels, IL-10 concentrations with post-dinner eating and negatively with sweet-eating, long fasting with higher IFN-γ levels. IL-2 increase was not linked to EDs, but to the interaction of depression and BMI. Altogether, for the first time, IL-1α, IL-10, EGF, and IFN-γ were shown to differ between AN and HCs, and between AN and individuals with obesity with or without BED. Only IL-2 was influenced by depression. Dysfunctional eating behaviors predicted abnormal concentrations of IL-10, EGF, IL-8 and IFN-γ.