The aim of this review was to elaborate a synthesis about the discussions on magnesium and diabetes mellitus, in the last 14 years. The magnesium deficiency has been associated with chronic diseases, amongst them, diabetes mellitus. Epidemiological studies had shown low levels of magnesium ingestion in the general population, as well as a relation between the ingestion of food rich in magnesium and the reduction of diabetes installation and its complications. Hypomagnesemia is frequently present in diabetic patients, however there is not an exact elucidation of the mechanism of magnesium deficiency in diabetes mellitus. On the other hand, in the presence of this illness, it is observed that inadequate metabolic control can affect the corporal concentrations of magnesium, developing hypomagnesemia, which may be still directly related with some micro and macrovascular complications observed in diabetes, as cardiovascular disease, retinopathy and neuropathy. This way, the chronic complications of diabetes can appear precociously. Based on this, the supplementation with magnesium has been suggested in patients with diabetes mellitus who have proven hypomagnesemia and the presence of its complications.
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http://dx.doi.org/10.1016/j.clnu.2006.03.003 | DOI Listing |
Endocrinol Diabetes Metab
January 2025
Department of Endocrinology and Metabolism, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study investigates the relationship between the albumin-to-creatinine ratio and diabetic retinopathy (DR) in US adults using NHANES data from 2009 to 2016. This study assesses the predictive efficacy of the urinary serum albumin-to-creatinine ratio (UACR/SACR Ratio) against traditional biomarkers such as the serum albumin-to-creatinine ratio (SACR) and urinary albumin-to-creatinine ratio (UACR) for evaluating DR risk. Additionally, the study explores the potential of these biomarkers, both individually and in combination with HbA1c, for early detection and risk stratification of DR.
View Article and Find Full Text PDFAdv Ther
January 2025
Department of Endocrinology and Nutrition, Hospital Universitari de Bellvitge-IDIBELL, C/de la Feixa Llarga S/N, 08907, Hospitalet de Llobregat, Barcelona, Spain.
Introduction: Obesity and its complications are associated with high morbidity/mortality and a significant healthcare cost burden in Spain. It is therefore essential to know the potential clinical and economic benefits of reducing obesity. The objective of this study is to predict the decrease in rates of onset of potential complications associated with obesity and the cost savings after a weight loss of 15% over 10 years in Spain.
View Article and Find Full Text PDFCurr Diab Rep
January 2025
Department of Family Medicine, University of Colorado School of Medicine, 13199 E Montview Blvd, Aurora, CO, 8004, USA.
Purpose Of Review: Addressing diabetes distress (DD), the emotional demands of living with diabetes, is a crucial component of diabetes care. Most individuals with type 2 diabetes and approximately half of adults with type 1 diabetes receive their care in the primary care setting. This review will provide guidance on addressing DD and implementing targeted techniques that can be tailored to primary care patients.
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
College of Biology and Food Engineering, Chongqing Three Gorges University, Chongqing, 404100, China.
Insulin resistance was considered to be the most important clinical phenotype of type 2 diabetes (T2DM). Almond is a widely-consumed nut and long-term intake was beneficial to alleviating insulin resistance in patients with T2DM. Hence, screening of anti-diabetic peptides from almond proteins was feasible based on the effectiveness of peptides in the treatment of T2DM.
View Article and Find Full Text PDFFASEB J
January 2025
Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.
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