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Open AccessJournal ArticleDOI

Association between serum magnesium and common complications of diabetes mellitus.

Yiyan Zhang, +4 more
- 01 Jan 2018 - 
- Vol. 26, pp 379-387
TLDR
Low concentration of serum magnesium and four common diabetic complications – diabetic retinopathy, diabetic nephropathy, diabetic neuropathy and diabetic macroangiopathy – exists association, but no obvious correlation with other comorbidities like hypertension.
Abstract
Background Magnesium ion, as important cation in the human body, involved in various enzymatic reactions, glucose transport and insulin release. Now diabetes mellitus and diabetic complications have become important public health problems around the world. Objective This paper explores the association between concentration levels of serum magnesium and common complications and comorbidities of diabetes mellitus and other biochemical indexes. Methods There are 1217 eligible patients selected from 14,317 cases of diabetic hospitalization patients from January 2010 to December 2011. Random forest algorithm was applied to assess the importance of various biochemical indexes and to perform diabetic complications prediction. Results The research results showed that low concentration of serum magnesium and four common diabetic complications - diabetic retinopathy, diabetic nephropathy, diabetic neuropathy and diabetic macroangiopathy - exists association, but no obvious correlation with other comorbidities like hypertension. Conclusions The specific factors of four common diabetic complications were selected from the biochemical indexes to provide a reference direction for further research.

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Citations
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Journal ArticleDOI

Role of Magnesium in Type 2 Diabetes Mellitus.

TL;DR: Imbalances in Mg 2+ status, more frequently hypomagnesemia, inhibit glucose transporter type 4 translocation, increase insulin resistance, affect lipid metabolism, induce oxidative stress, and impair the antioxidant system of endothelial cells.
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Vitreous humor endogenous compounds analysis for post-mortem forensic investigation.

TL;DR: The present review evaluates the recent chemical and biochemical advances with particular importance on the endogenous compounds present at the time of death and their modification over time, which are valuable for the PMI prediction and to identify the cause of death.
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Developing a random forest classifier for predicting the depression and managing the health of caregivers supporting patients with Alzheimer's Disease.

TL;DR: It was proved that the developed random forest-based App for predicting and managing the depression of dementia caregivers used an algorithm that has a high predictive power.
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Serum Magnesium Is Inversely Associated With Heart Failure, Atrial Fibrillation, and Microvascular Complications in Type 2 Diabetes.

TL;DR: In this article, the association of serum magnesium (Mg2+) with macrovascular disease and mortality (acute myocardial infarction [AMI], coronary heart disease [CHD], heart failure [HF], cerebrovascular accident [CVA), and peripheral arterial disease [PAD]), atrial fibrillation (AF), and diabetic foot) using Cox regression, adjusted for confounders.
Journal ArticleDOI

Overview of dietary supplements on patients with type 2 diabetes.

TL;DR: The available evidence is insufficient to create a definite conclusion that nutritional supplements including chromium, n-3 PUFAs, vitamin D, zinc and magnesium might be beneficial for the prevention and treatment of T2DM and therefore, the general recommendation to use these supplements in the management of diabetes cannot be justified.
References
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Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Book ChapterDOI

Random Forest for Bioinformatics

Yanjun Qi
TL;DR: The Random Forest technique, which includes an ensemble of decision trees and incorporates feature selection and interactions naturally in the learning process, is a popular choice because it is nonparametric, interpretable, efficient, and has high prediction accuracy for many types of data.
Journal ArticleDOI

Role of magnesium in insulin action, diabetes and cardio-metabolic syndrome X.

TL;DR: A growing body of studies suggest that intracellular Mg may play a key role in modulating insulin-mediated glucose uptake and vascular tone, and it is suggested that a reduced intrace cellular Mg concentration might be the missing link helping to explain the epidemiological association between NIDDM and hypertension.
Journal ArticleDOI

Magnesium metabolism in type 2 diabetes mellitus, metabolic syndrome and insulin resistance

TL;DR: Benefits of Mg supplementation on metabolic profile in diabetic subjects have been found in most, but not all clinical studies, and larger prospective studies are needed to support the potential role of dietary Mg supplements as a possible public health strategy in diabetes risk.