High-fat diet and oral infection induced type 2 diabetes and obesity development under different genetic backgrounds

Background:Type 2 diabetes(T2D)is an adult-onset and obese form of diabetes caused by an interplay between genetic,epigenetic,and environmental components.Here,we have assessed a cohort of 11 genetically different collaborative cross(CC)mouse lines comprised of both sexes for T2D and obesity developments in response to oral infection and high-fat diet(HFD)challenges.Methods:Mice were fed with either the HFD or the standard chow diet(control group)for 12 weeks starting at the age of 8 weeks.At week 5 of the experiment,half of the mice of each diet group were infected with Porphyromonas gingivalis and Fusobacterium nucleatum bacteria strains.Throughout the 12-week experimental period,body weight(BW)was recorded biweekly,and intraperitoneal glucose tolerance tests were performed at weeks 6 and 12 of the experiment to evaluate the glucose tolerance status of mice.Results:Statistical analysis has shown the significance of phenotypic variations between the CC lines,which have different genetic backgrounds and sex effects in different experimental groups.The heritability of the studied phenotypes was estimated and ranged between 0.45 and 0.85.We applied machine learning methods to make an early call for T2D and its prognosis.The results showed that classification with random forest could reach the highest accuracy classification(ACC=0.91)when all the attributes were used.Conclusion:Using sex,diet,infection status,initial BW,and area under the curve(AUC)at week 6,we could classify the final phenotypes/outcomes at the end stage of the experiment(at 12 weeks).

Key genes of the interleukin 6 signaling pathway are not associated with coronary artery disease in a large European population

Background: Recent studies indicate a strong functional relevance of the canonical inflammatory interleukin 6 signaling pathway in coronary artery disease (CAD). A genetic association of this signaling pathway with CAD has not been shown yet. We aimed to assess novel single nucleotide polymorphisms (SNPs) from genes of the Interleukin 6 signaling pathway. Results: To identify novel SNPs that are relevant for CAD, we employed a large-scale population-based case-control association study of 2199 cases and 1715 controls and assessed 73 SNPs from 12 genes out of the IL-6 signaling pathway. Results were adjusted to the CAD-related risk factors diabetes, hypertension, Body Mass Index, smoking and sex by logistic regression analysis. In a primary explorative study, we identified 5 SNPs that were significantly associated with CAD (MAPK1_rs6928, MAPK1_rs9340, MAPK1_ rs11913721, MAPK14_rs7757672, JAK1_rs310236). After adjustment to CAD-risk factors, MAPK1_ rs6928 showed the strongest association with CAD (P 0.0217, Odds Ratio 1.36, Confidence Interval 1.05 - 1.77). To reproduce this result, we performed a replication study employing independent patient and control panels. In this study we could not approve the association of rs6928 with CAD. Conclusion: In conclusion, we did not detect significant associations of SNPs from the IL-6 signaling pathway with CAD. Our investigation demonstrates the importance of independent replication studies to verify results from candidate-gene association studies in the quest to discover the underlying pathomechanism of CAD.