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Menezes-Santos M, Santos BDC, Santos RKF, da Costa SSL, Dos Santos SH, E Silva AMDO, Rocha VDS, Pires LV. Copper Deficiency Associated with Glycemic Control in Individuals with Type 2 Diabetes Mellitus. Biol Trace Elem Res 2024:10.1007/s12011-024-04185-6. [PMID: 38639883 DOI: 10.1007/s12011-024-04185-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
Adequate copper (Cu) status has been associated with improved glycemic control, partly because of its role in reducing oxidative stress through superoxide dismutase (SOD) activity. Thus, the aim was to investigate the relationship between plasma Cu concentration and markers associated with glycemic control in individuals with type 2 diabetes mellitus (T2DM). This observational and cross-sectional study was conducted in individuals with T2DM of both sexes, aged between 19 and 59 years. Plasma Cu levels were analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES). Fasting glucose and insulin concentrations, C-peptide levels, SOD activity, and glycated hemoglobin (%HbA1c) were measured. Homeostatic model assessments (HOMA%B, HOMA%S, and HOMA-IR) were also performed. Additionally, %body fat and waist circumference were measured, and body mass index was calculated. Participants were categorized based on their plasma Cu concentrations (< 70 µg/dL and ≥ 70 µg/dL). The associations between variables were analyzed using chi-squared or Fisher's test and binary logistic regression models. Statistical significance was set at P < 0.05. Of the 97 participants (74.2% women), 85.5% had Cu deficiency. Cu-deficient individuals showed elevated C-peptide concentrations and HOMA%B values compared to those with adequate Cu levels (2.8 ng/mL vs. 1.8 ng/mL, P = 0.011; and 71.4 vs. 31.0, P = 0.003), respectively. Cu deficiency was associated with insulin resistance (P = 0.044) and decreased likelihood of exceeding the target serum glucose level (OR = 0.147, P = 0.013). However, no significant association was found between SOD activity and plasma Cu concentration. Consequently, Cu deficiency was linked to improved glycemic control, although it was not associated with the other markers.
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Affiliation(s)
- Matheus Menezes-Santos
- Nutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil
| | - Beatriz da Cruz Santos
- Nutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil
- Nutrition Sciences Post-Graduation Program, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, Marcelo Deda Avenue, S/n - Jardim Rosa Elze, São Cristóvão, Sergipe, ZIP: 49107-230, Brazil
| | - Ramara Kadija Fonseca Santos
- Nutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil
- Health Sciences Post-Graduation Program, Department of Medicine, Center for Biological and Health Sciences, Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | | | - Samir Hipólito Dos Santos
- Chemistry Post-Graduation Program, Chemistry Institute, Federal University of Bahia, Salvador, Bahia, Brazil
| | - Ana Mara de Oliveira E Silva
- Nutrition Sciences Post-Graduation Program, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, Marcelo Deda Avenue, S/n - Jardim Rosa Elze, São Cristóvão, Sergipe, ZIP: 49107-230, Brazil
- Health Sciences Post-Graduation Program, Department of Medicine, Center for Biological and Health Sciences, Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | | | - Liliane Viana Pires
- Nutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.
- Nutrition Sciences Post-Graduation Program, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, Marcelo Deda Avenue, S/n - Jardim Rosa Elze, São Cristóvão, Sergipe, ZIP: 49107-230, Brazil.
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Li W, Lv BM, Quan Y, Zhu Q, Zhang HY. Associations between Serum Mineral Nutrients, Gut Microbiota, and Risk of Neurological, Psychiatric, and Metabolic Diseases: A Comprehensive Mendelian Randomization Study. Nutrients 2024; 16:244. [PMID: 38257137 PMCID: PMC10818407 DOI: 10.3390/nu16020244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/08/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Recent observational studies have reported associations between serum mineral nutrient levels, gut microbiota composition, and neurological, psychiatric, and metabolic diseases. However, the causal effects of mineral nutrients on gut microbiota and their causal associations with diseases remain unclear and require further investigation. This study aimed to identify the associations between serum mineral nutrients, gut microbiota, and risk of neurological, psychiatric, and metabolic diseases using Mendelian randomization (MR). We conducted an MR study using the large-scale genome-wide association study (GWAS) summary statistics of 5 serum mineral nutrients, 196 gut microbes at the phylum, order, family, and genus levels, and a variety of common neurological, psychiatric, and metabolic diseases. Initially, the independent causal associations of mineral nutrients and gut microbiota with diseases were examined by MR. Subsequently, the causal effect of mineral nutrients on gut microbiota was estimated to investigate whether specific gut microbes mediated the association between mineral nutrients and diseases. Finally, we performed sensitivity analyses to assess the robustness of the study results. After correcting for multiple testing, we identified a total of 33 causal relationships among mineral nutrients, gut microbiota, and diseases. Specifically, we found 4 causal relationships between 3 mineral nutrition traits and 3 disease traits, 15 causal associations between 14 gut microbiota traits and 6 disease traits, and 14 causal associations involving 4 mineral nutrition traits and 15 gut microbiota traits. Meanwhile, 118 suggestive associations were identified. The current study reveals multiple causal associations between serum mineral nutrients, gut microbiota, risk of neurological, psychiatric, and metabolic diseases, and potentially provides valuable insights for subsequent nutritional therapies.
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Affiliation(s)
- Wang Li
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (B.-M.L.); (Y.Q.); (H.-Y.Z.)
| | - Bo-Min Lv
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (B.-M.L.); (Y.Q.); (H.-Y.Z.)
- Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Yuan Quan
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (B.-M.L.); (Y.Q.); (H.-Y.Z.)
| | - Qiang Zhu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (B.-M.L.); (Y.Q.); (H.-Y.Z.)
- Key Laboratory of Smart Farming for Agricultural Animals, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Hong-Yu Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (B.-M.L.); (Y.Q.); (H.-Y.Z.)
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