scholarly journals A plasma fatty acid profile associated to type 2 diabetes development: from the CORDIOPREV study

2021 ◽  
Author(s):  
Alejandro Villasanta-Gonzalez ◽  
Juan Francisco Alcala-Diaz ◽  
Cristina Vals-Delgado ◽  
Antonio Pablo Arenas ◽  
Magdalena P. Cardelo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Fatty Acid ◽  
Hepatic Insulin Resistance ◽  
Plasma Fatty Acid ◽  
Training Set ◽  
Validation Set ◽  
Arachidonic Acids

Abstract Purpose The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. For this reason, it is essential to identify biomarkers for the early detection of T2DM risk and/or for a better prognosis of T2DM. We aimed to identify a plasma fatty acid (FA) profile associated with T2DM development. Methods We included 462 coronary heart disease patients from the CORDIOPREV study without T2DM at baseline. Of these, 107 patients developed T2DM according to the American Diabetes Association (ADA) diagnosis criteria after a median follow-up of 60 months. We performed a random classification of patients in a training set, used to build a FA Score, and a Validation set, in which we tested the FA Score. Results FA selection with the highest prediction power was performed by random survival forest in the Training set, which yielded 4 out of the 24 FA: myristic, petroselinic, α-linolenic and arachidonic acids. We built a FA Score with the selected FA and observed that patients with a higher score presented a greater risk of T2DM development, with an HR of 3.15 (95% CI 2.04–3.37) in the Training set, and an HR of 2.14 (95% CI 1.50–2.84) in the Validation set, per standard deviation (SD) increase. Moreover, patients with a higher FA Score presented lower insulin sensitivity and higher hepatic insulin resistance (p < 0.05). Conclusion Our results suggest that a detrimental FA plasma profile precedes the development of T2DM in patients with coronary heart disease, and that this FA profile can, therefore, be used as a predictive biomarker. Clinical Trials.gov.Identifier NCT00924937.

scholarly journals Dietary Patterns, Plasma Fatty Acid Profiles and Risk of Coronary Heart Disease and Type 2 Diabetes (P18-092-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Jowy Seah Yi Hoong ◽  
Choon Nam Ong ◽  
Woon-Puay Koh ◽  
Jian-Min Yuan ◽  
Rob van Dam
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Fatty Acid ◽  
Dietary Patterns ◽  
Disease Risk ◽  
Red Meat ◽  
Plasma Fatty Acid ◽  
Response Variables

Abstract Objectives Reduced rank regression (RRR) can incorporate a priori biological hypotheses into exploratory techniques used to generate dietary patterns. No previous studies have used nutrition biomarkers including plasma fatty acids as response variables in RRR. We aimed to derive dietary patterns that explain variation in plasma fatty acid concentrations using RRR and evaluate these in relation to risk of coronary heart disease (CHD) and type 2 diabetes (T2D). Methods We derived dietary patterns in a subsample of 711 participants with fatty acid concentrations in the Singapore Chinese Health Study using RRR with 31 food groups/items as predictors and 10 plasma fatty acid biomarkers as response variables. Scores for the dietary patterns derived in the subset were then calculated among the full cohort. We followed up 58,065 and 45,411 men and women for CHD mortality and incident T2D respectively. Results We identified a ‘prudent pattern’ high in green vegetables, fruits and fish and low in rice, eggs and red meat, and a ‘low-meat pattern’ high in bread, margarine and fruits, and low in red meat, seafood and poultry. During 1077,170 and 494,741 person-years of follow-up, 3016 CHD mortality events and 5207 cases of T2D respectively were identified. Both the ‘prudent pattern’ [all adjusted HRs for extreme quintiles, 0.68 (95% CI: 0.60, 0.77); P-trend < 0.001] and ‘low-meat pattern’ [HR, 0.86 (95% CI: 0.76, 0.96); P-trend = 0.010] were associated with lower risk of CHD mortality. The ‘prudent pattern’ was not associated with T2D whereas the ‘low-meat pattern’ was inversely associated with T2D but appeared restricted to women [HR, 0.69 (95% CI: 0.61, 0.78); P-trend < 0.001; P-interaction for sex = 0.001]. Conclusions Using nutrition biomarkers as response variables in RRR may be a promising approach to generating dietary patterns predictive of noncommunicable chronic disease risk. Funding Sources This study was supported by the National Institutes of Health, USA. JYHS is supported by the NGS Scholarship. W-PK is supported by the National Medical Research Council, Singapore. Supporting Tables, Images and/or Graphs

2436-PUB: Predicting Risk for New-Onset Type 2 Diabetes in Chinese People with Coronary Heart Disease and Impaired Glucose Tolerance

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2436-PUB
Author(s):  
SHISHI XU ◽  
CHARLES A. SCOTT ◽  
RUTH L. COLEMAN ◽  
JAAKKO TUOMILEHTO ◽  
RURY R. HOLMAN
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Glucose Tolerance ◽  
Impaired Glucose Tolerance ◽  
Chinese People ◽  
Onset Type ◽  
New Onset

Mutations of mtDNA in some vascular and metabolic diseases

2020 ◽  
Vol 26 ◽  
Author(s):  
Margarita A. Sazonova ◽  
Anastasia I. Ryzhkova ◽  
Vasily V. Sinyov ◽  
Marina D. Sazonova ◽  
Tatiana V. Kirichenko ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Type 2 Diabetes Mellitus ◽  
Heart Disease ◽  
Chronic Diseases ◽  
Metabolic Diseases ◽  
Present Review ◽  
Mtdna Mutations

Background: The present review article considers some chronic diseases of vascular and metabolic genesis, the causes of which may be mitochondrial dysfunction. Very often, in the long course of the disease, complications may occur, leading to myocardial infarction or ischemic stroke and as a result, death.In particular, a large percentage of human deaths nowadays belongs to cardiovascular diseases such as coronary heart disease (CHD), arterial hypertension, cardiomyopathies and type 2 diabetes mellitus. Objective: The aim of the present review was the analysis of literature sources, devoted to an investigation of a link of mitochondrial DNA mutations with chronic diseases of vascular and metabolic genesis, Results: The analysis of literature indicates the association of the mitochondrial genome mutations with coronary heart disease, type 2 diabetes mellitus, hypertension and various types of cardiomyopathies. Conclusion: The detected mutations can be used to analyze the predisposition to chronic diseases of vascular and metabolic genesis. They can also be used to create molecular-cell models necessary to evaluate the effectiveness of drugs developed for treatment of these pathologies. MtDNA mutations associated withthe absence of diseases of vascular and metabolic genesis could be potential candidates for gene therapy of diseases of vascular and metabolic genesis.

scholarly journals Correction to: Association between cholesterol efflux capacity and peripheral artery disease in coronary heart disease patients with and without type 2 diabetes: from the CORDIOPREV study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Elena M. Yubero-Serrano ◽  
Juan F. Alcalá-Diaz ◽  
Francisco M. Gutierrez-Mariscal ◽  
Antonio P. Arenas-de Larriva ◽  
Patricia J. Peña-Orihuela ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Peripheral Artery Disease ◽  
Cholesterol Efflux ◽  
Peripheral Artery ◽  
Cholesterol Efflux Capacity ◽  
Artery Disease

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals A retrospective study on the usefulness of the JJ risk engine for predicting the incidence rate of coronary heart disease in type 2 diabetes patients

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yasunari Yamashita ◽  
Rina Kitajima ◽  
Kiyoshi Matsubara ◽  
Gaku Inoue ◽  
Hajime Matsubara
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medical Records ◽  
Low Frequency ◽  
University Hospital ◽  
Diabetes Treatment ◽  
C Statistic ◽  
Risk Engine

Abstract Objective In 2018, we conducted a retrospective survey using the medical records of 484 patients with type 2 diabetes. The observed value of coronary heart disease (CHD) incidence after 5 years and the predicted value by the JJ risk engine as of 2013 were compared and verified using the discrimination and calibration values. Results Among the total cases analyzed, the C-statistic was 0.588, and the calibration was p < 0.05; thus, the JJ risk engine could not correctly predict the risk of CHD. However, in the group expected to have a low frequency of hypoglycemia, the C-statistic was 0.646; the predictability of the JJ risk engine was relatively accurate. Therefore, it is difficult to accurately predict the complication rate of patients using the JJ risk engine based on the diabetes treatment policy after the Kumamoto Declaration 2013. The JJ risk engine has several input items (variables), and it is difficult to satisfy them all unless the environment is well-equipped with testing facilities, such as a university hospital. Therefore, it is necessary to create a new risk engine that requires fewer input items than the JJ risk engine and is applicable to several patients.

scholarly journals Circulating miRNAs as Predictive Biomarkers of Type 2 Diabetes Mellitus Development in Coronary Heart Disease Patients from the CORDIOPREV Study

2018 ◽  
Vol 12 ◽  
pp. 146-157 ◽  
Author(s):  
Rosa Jiménez-Lucena ◽  
Oriol Alberto Rangel-Zúñiga ◽  
Juan Francisco Alcalá-Díaz ◽  
Javier López-Moreno ◽  
Irene Roncero-Ramos ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Type 2 Diabetes Mellitus ◽  
Heart Disease ◽  
Predictive Biomarkers ◽  
Circulating Mirnas
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