scholarly journals Plasma metabolites associated with type 2 diabetes in a Swedish population: a case–control study nested in a prospective cohort

Diabetologia ◽  
2018 ◽  
Vol 61 (4) ◽  
pp. 849-861 ◽  
Author(s):  
Lin Shi ◽  
Carl Brunius ◽  
Marko Lehtonen ◽  
Seppo Auriola ◽  
Ingvar A. Bergdahl ◽  
...  
2018 ◽  
Vol 108 (3) ◽  
pp. 564-575 ◽  
Author(s):  
Lin Shi ◽  
Carl Brunius ◽  
Ingegerd Johansson ◽  
Ingvar A Bergdahl ◽  
Bernt Lindahl ◽  
...  

ABSTRACT Background Epidemiologic evidence on the association of a healthy Nordic diet and future type 2 diabetes (T2D) is limited. Exploring metabolites as biomarkers of healthy Nordic dietary patterns may facilitate investigation of associations between such patterns and T2D. Objectives We aimed to identify metabolites related to a priori-defined healthy Nordic dietary indexes, the Baltic Sea Diet Score (BSDS) and Healthy Nordic Food Index (HNFI), and evaluate associations with the T2D risk in a case-control study nested in a Swedish population-based prospective cohort. Design Plasma samples from 421 case-control pairs at baseline and samples from a subset of 151 healthy controls at a 10-y follow-up were analyzed with the use of untargeted liquid chromatography-mass spectrometry metabolomics. Index-related metabolites were identified through the use of random forest modelling followed by partial correlation analysis adjustment for lifestyle confounders. Metabolite patterns were derived via principal component analysis (PCA). ORs of T2D were estimated via conditional logistic regression. Reproducibility of metabolites was assessed by intraclass correlation (ICC) in healthy controls. Associations were also assessed for 10 metabolites previously identified as linking a healthy Nordic diet with T2D. Results In total, 31 metabolites were associated with BSDS and/or HNFI (−0.19 ≤ r ≤ 0.21, 0.10 ≤ ICC ≤ 0.59). Two PCs were determined from index-related metabolites: PC1 strongly correlated to the indexes (r = 0.27 for BSDS, r = 0.25 for HNFI, ICC = 0.45) but showed no association with T2D risk. PC2 was weakly associated with the indexes, but more strongly with foods not part of the indexes, e.g., pizza, sausages, and hamburgers. PC2 was also significantly associated with T2D risk. Predefined metabolites were confirmed to be reflective of consumption of whole grains, fish, or vegetables, but not related to T2D risk. Conclusions Our study did not support an association between healthy Nordic dietary indexes and T2D. However, foods such as hamburger, sausage, and pizza not covered by the indexes appeared to be more important for T2D risk in the current population.


2021 ◽  
Vol 146 ◽  
pp. 106180
Author(s):  
Tessa Schillemans ◽  
Lin Shi ◽  
Carolina Donat-Vargas ◽  
Kati Hanhineva ◽  
Andreas Tornevi ◽  
...  

2016 ◽  
Vol 22 ◽  
pp. 183
Author(s):  
Shahjada Selim ◽  
Shahjada Selim ◽  
Shahabul Chowdhury ◽  
Mohammad Saifuddin ◽  
Marufa Mustary ◽  
...  

2018 ◽  
Vol 13 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Francesco Ursini ◽  
Salvatore D`Angelo ◽  
Emilio Russo ◽  
Giorgio Ammerata ◽  
Ludovico Abenavoli ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e044486 ◽  
Author(s):  
Per Svensson ◽  
Robin Hofmann ◽  
Henrike Häbel ◽  
Tomas Jernberg ◽  
Per Nordberg

AimsThe risks associated with diabetes, obesity and hypertension for severe COVID-19 may be confounded and differ by sociodemographic background. We assessed the risks associated with cardiometabolic factors for severe COVID-19 when accounting for socioeconomic factors and in subgroups by age, sex and region of birth.Methods and resultsIn this nationwide case–control study, 1.086 patients admitted to intensive care with COVID-19 requiring mechanical ventilation (cases), and 10.860 population-based controls matched for age, sex and district of residency were included from mandatory national registries. ORs with 95% CIs for associations between severe COVID-19 and exposures with adjustment for confounders were estimated using logistic regression. The median age was 62 years (IQR 52–70), and 3003 (24.9%) were women. Type 2 diabetes (OR, 2.3 (95% CI 1.9 to 2.7)), hypertension (OR, 1.7 (95% CI 1.5 to 2.0)), obesity (OR, 3.1 (95% CI 2.4 to 4.0)) and chronic kidney disease (OR, 2.5 (95% CI 1.7 to 3.7)) were all associated with severe COVID-19. In the younger subgroup (below 57 years), ORs were significantly higher for all cardiometabolic risk factors. The risk associated with type 2 diabetes was higher in women (p=0.001) and in patients with a region of birth outside European Union(EU) (p=0.004).ConclusionDiabetes, obesity and hypertension were all independently associated with severe COVID-19 with stronger associations in the younger population. Type 2 diabetes implied a greater risk among women and in non-EU immigrants. These findings, originating from high-quality Swedish registries, may be important to direct preventive measures such as vaccination to susceptible patient groups.Trial registration numberClinicaltrial.gov (NCT04426084).


Author(s):  
Onofre Pineda ◽  
Victoria Stepenka ◽  
Alejandra Rivas-Motenegro ◽  
Nelson Villasmil-Hernandez ◽  
Roberto Añez ◽  
...  

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