Background: The altered levels of some essential trace elements and antioxidant minerals have been observed in diabetic patients.
Objectives: The aim of the present study was to compare the concentrations of essential trace elements, copper (Cu), zinc (Zn), and iron (Fe) in the serum of patients who have type 2 diabetes mellitus (T2DM) with those of their non-diabetic first-degree relatives (FDR) and control subjects. The association between glycated hemoglobin (HbA1c) and levels of metals was also evaluated.
Patients And Methods: We studied 46 subjects with T2DM, 46 FDR, and 50 control subjects matched for age and sex. Serum concentrations of Cu, Zn, and Fe were measured by colorimetric kit. Fasting blood glucose (FBG) and HbA1c were assayed using the standard kit.
Results: An imbalance in the levels of the studied metals was observed in both patients with T2DM and FDR. We found significantly decreased levels of Zn and higher levels of Cu and Fe in the patients with T2DM and FDR when compared with the control subjects (P < 0.05). HbA1c levels were positively correlated with Cu and Fe and inversely correlated with Zn in the patients with T2DM and FDR (P < 0.05).
Conclusions: The patients with T2DM and FDR had altered contents of Cu, Zn, and Fe that might be a predisposing factor to the development of diabetes in future or vice versa the result of diabetes development. Impaired metabolism of these elements may contribute to the augmented risk of developing type 2 diabetes mellitus later in the life of their first-degree relatives.
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http://dx.doi.org/10.5812/ijem.33273 | DOI Listing |
J Nutr Sci
December 2024
State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Although dietary factors have been examined as potential risk factors for liver cancer, the evidence is still inconclusive. Using a diet-wide association analysis, our research evaluated the associations of 126 foods and nutrients on the risk of liver cancer in a Chinese population. We obtained the diet consumption of 72,680 women in the Shanghai Women's Health Study using baseline dietary questionnaires.
View Article and Find Full Text PDFJBMR Plus
January 2025
TAmiRNA GmbH, Department of Research and Development, 1110 Vienna, Austria.
Type 2 diabetes mellitus (T2DM) increases the susceptibility of bone fragility. The underlying mechanisms have, however, remained largely unknown. MicroRNAs (miRNAs) are short single-stranded non-coding RNA molecules with utility as biomarkers due to their easy accessibility and stability in bodily fluids.
View Article and Find Full Text PDFBrain Res
November 2024
Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China. Electronic address:
J Clin Endocrinol Metab
November 2024
Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objective: This study aimed to investigate serum metabolomic biomarkers associated with incident type 2 diabetes mellitus (T2DM) and evaluate their performance in improving T2DM risk prediction.
Methods: Untargeted proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics analyses were conducted in the Multi-Ethnic Study of Atherosclerosis (MESA; n=3460; discovery cohort) and Rotterdam Study (RS; n=1556; replication cohort). Multivariable cause-specific hazards models were used to analyze the associations between 23,571 serum metabolomic spectral variables and incident T2DM.
Diabetes Obes Metab
February 2025
Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Background: Recent studies have found that tobacco smoking is associated with fat distribution, yet limited research has focused on its relationship with visceral adipose tissues (VATs). Furthermore, the cellular and molecular mechanisms underlying the interactions among smoking, epigenetic modifications, and VATs remain unknown.
Method: We performed univariable Mendelian randomization (MR) analysis to elucidate the causal relationship between smoking behaviours and VATs, including epicardial and pericardial adipose tissue (EPAT), liver fat (LF), and pancreas fat (PF).
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