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Rondanelli M, Barrile GC, Cavioni A, Donati P, Genovese E, Mansueto F, Mazzola G, Patelli Z, Pirola M, Razza C, Russano S, Sivieri C, Tartara A, Valentini EM, Perna S. A Narrative Review on Strategies for the Reversion of Prediabetes to Normoglycemia: Food Pyramid, Physical Activity, and Self-Monitoring Innovative Glucose Devices. Nutrients 2023; 15:4943. [PMID: 38068801 PMCID: PMC10707766 DOI: 10.3390/nu15234943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/16/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
In 2019, "Nutrition Therapy for Adults with Diabetes or Prediabetes: A Consensus Report" was published. This consensus report, however, did not provide an easy way to illustrate to subjects with prediabetes (SwPs) how to follow a correct dietary approach. The purpose of this review is to evaluate current evidence on optimum dietary treatment of SwPs and to provide a food pyramid for this population. The pyramid built shows that everyday consumption should consist of: whole-grain bread or potatoes eaten with their skins (for fiber and magnesium) and low glycemic index carbohydrates (GI < 55%) (three portions); fruit and vegetables (5 portions), in particular, green leafy vegetables (for fiber, magnesium, and polyphenols); EVO oil (almost 8 g); nuts (30 g, in particular, pistachios and almonds); three portions of dairy products (milk/yogurt: 300-400 g/day); mineral water (almost 1, 5 L/day for calcium intake); one glass of wine (125 mL); and three cups of coffee. Weekly portions should include fish (four portions), white meat (two portions), protein plant-based food (four portions), eggs (egg portions), and red/processed meats (once/week). At the top of the pyramid, there are two pennants: a green one means that SwPs need some personalized supplementation (if daily requirements cannot be satisfied through diet, vitamin D, omega-3, and vitamin B supplements), and a red one means there are some foods and factors that are banned (simple sugar, refined carbohydrates, and a sedentary lifestyle). Three to four times a week of aerobic and resistance exercises must be performed for 30-40 min. Finally, self-monitoring innovative salivary glucose devices could contribute to the reversion of prediabetes to normoglycemia.
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Affiliation(s)
- Mariangela Rondanelli
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Gaetan Claude Barrile
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Alessandro Cavioni
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Paolo Donati
- AICUBE srl, 20090 Trezzano sul Naviglio, Italy; (P.D.); (S.R.)
| | - Elisa Genovese
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Francesca Mansueto
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Giuseppe Mazzola
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Zaira Patelli
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Martina Pirola
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Claudia Razza
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Stefano Russano
- AICUBE srl, 20090 Trezzano sul Naviglio, Italy; (P.D.); (S.R.)
| | - Claudia Sivieri
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Alice Tartara
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Eugenio Marzio Valentini
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.C.B.); (A.C.); (E.G.); (F.M.); (G.M.); (Z.P.); (M.P.); (C.R.); (C.S.); (A.T.); (E.M.V.)
| | - Simone Perna
- Department of Food, Environmental and Nutritional Sciences, Division of Human Nutrition, University of Milan, 20133 Milan, Italy;
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Li YQ, Zhang ST, Ke NY, Fang YC, Hu WL, Li GA, Huang F, Zhou YF. The impact of multiple metals exposure on the risk of developing proliferative diabetic retinopathy in Anhui, China: a case-control study. Environ Sci Pollut Res Int 2023; 30:112132-112143. [PMID: 37831242 DOI: 10.1007/s11356-023-30294-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/02/2023] [Indexed: 10/14/2023]
Abstract
Through multiple different pathways, the environmental multiple metals make their ways to the human bodies, where they induce different levels of the oxidative stress response. This study further investigated the impact of multiple-metal exposure on the risk of developing proliferative diabetic retinopathy (PDR). We designed a case-control study with type 2 diabetic patients (T2D), in which the case group was the proliferative diabetic retinopathy group (PDR group), while the control group was the non-diabetic retinopathy group (NDR group). Graphite furnace atomic absorption spectrometry (GFAAS) and inductively coupled plasma optical emission spectrometry (ICP-OES) were used to detect the metal levels in our participants' urine samples. The least absolute shrinkage and selection operator (LASSO) regression approach was used to include these representative trace elements in a multiple exposure model. Following that, logistic regression models and Bayesian kernel machine regression (BKMR) models were used to describe the effect of different elements and also analyze their combined effect. In the single-element model, we discovered that lithium (Li), cadmium (Cd), and strontium (Sr) were all positively related to PDR. The multiple-exposure model revealed a positive relationship between Li and PDR risk, with a maximum quartile OR of 2.80 (95% CI: 1.10-7.16). The BKMR model also revealed that selenium (Se) might act as a protective agent, whereas magnesium (Mg), Li, and Cd may raise the risk of PDR. In conclusion, our study not only revealed an association between exposure to multiple metals and PDR risk but it also implied that urine samples might be a useful tool to assess PDR risk.
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Affiliation(s)
- Yan-Qing Li
- Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, Anhui, China
| | - Si-Tian Zhang
- Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, Anhui, China
| | - Nai-Yu Ke
- Department of First Clinical Medical College, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Yan-Cheng Fang
- Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, Anhui, China
| | - Wen-Lei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Guo-Ao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Yan-Feng Zhou
- Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, Anhui, China.
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Wang Y, Shi P, Zhao C, Shi J, Qi Z, Xu S, Wang X, Su N, Gao Z, Zhu J, He M. Identification of the regulatory network and potential markers for type 2 diabetes mellitus related to internal exposure to metals in Chinese adults. Environ Geochem Health 2023; 45:6889-6902. [PMID: 36811699 DOI: 10.1007/s10653-023-01504-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
People intake metals from their environment. This study investigated type 2 diabetes mellitus (T2DM) related to internal exposure to metals and attempted to identify possible biomarkers. A total of 734 Chinese adults were enrolled, and urinary levels of ten metals were measured. Multinomial logistic regression model was used to assess the association between metals and impaired fasting glucose (IFG) and T2DM. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction were used to explore the pathogenesis of T2DM related to metals. After adjustment, lead (Pb) was positively associated with IFG (odds ratio [OR] 1.31, 95% confidence interval [CI] 1.06-1.61) and T2DM (OR 1.41, 95% CI 1.01-1.98), but cobalt was negatively associated with IFG (OR 0.57, 95% CI 0.34-0.95). Transcriptome analysis showed 69 target genes involved in the Pb-target network of T2DM. GO enrichment indicated that the target genes are enriched mainly in the biological process category. KEGG enrichment indicated that Pb exposure leads to non-alcoholic fatty liver disease, lipid and atherosclerosis, and insulin resistance. Moreover, there is alteration of four key pathways, and six algorithms were used to identify 12 possible genes in T2DM related to Pb. SOD2 and ICAM1 show strong similarity in expression, suggesting a functional correlation between these key genes. This study reveals that SOD2 and ICAM1 may be potential targets of Pb exposure-induced T2DM and provides novel insight into the biological effects and underlying mechanism of T2DM related to internal exposure to metals in the Chinese population.
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Affiliation(s)
- Yue Wang
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Peng Shi
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Chenkai Zhao
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Jingang Shi
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Zhipeng Qi
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Senhao Xu
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Xue Wang
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Ni Su
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Zijian Gao
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Jinghai Zhu
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Miao He
- Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China.
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Xing D, Zhou Q, Wang Y, Xu J. Effects of Tauroursodeoxycholic Acid and 4-Phenylbutyric Acid on Selenium Distribution in Mice Model with Type 1 Diabetes. Biol Trace Elem Res 2023; 201:1205-1213. [PMID: 35303254 PMCID: PMC9898396 DOI: 10.1007/s12011-022-03193-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/04/2022] [Indexed: 02/06/2023]
Abstract
The effect of selenium on diabetes is significant. As pharmaceutical chaperones, tauroursodeoxycholic acid (TUDCA) and 4-phenylbutyric acid (4-PBA) can effectively improve the oxidative stress of the endoplasmic reticulum. This study established a mice model with type 1 diabetes (T1D) to evaluate the effects of pharmaceutical chaperones on selenium distribution. Streptozotocin was used to induce Friend virus B-type mice to establish a T1D mice model. Mice were administered with TUDCA or 4-PBA. Selenium levels in different tissues were measured by inductively coupled plasma-mass spectroscopy (ICP-MS). After treatment with TUDCA and 4-PBA, related laboratory findings such as glucose and glycated serum protein were significantly reduced and were closer to normal levels. At 2 weeks, 4-PBA normalized selenium levels in the heart, and 4-PBA and TUDCA maintained the selenium in the liver, kidney, and muscle at normal. At 2 months, 4-PBA and TUDCA maintained the selenium in the heart, liver, and kidney at normal levels. The serum selenium had a positive correlation with zinc and copper in the diabetes group and the control group, while the serum selenium had no significant association with magnesium and calcium at 2 weeks and 2 months. TUDCA and 4-PBA have crucial effects on selenium distribution in diabetic mice, and further research is needed to research their internal mechanisms.
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Affiliation(s)
- Dongyang Xing
- Department of Laboratory Medicine, First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, China
| | - Qi Zhou
- Department of Pediatrics, First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, China
| | - Yiting Wang
- Department of Laboratory Medicine, First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, China
| | - Jiancheng Xu
- Department of Laboratory Medicine, First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, China.
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Wang D, Wang N, Zhou J, Luo G, Li Y, Yu W, Tan H, Liu G, Wang J, Hao L. Urine trace element disorder along with renal function injury in vitamin D deficient diabetic rats and intervention effect of 1α,25-dihydroxyvitamin D3. Front Nutr 2022; 9:1042558. [PMID: 36562035 PMCID: PMC9763592 DOI: 10.3389/fnut.2022.1042558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
Introduction Trace element metabolism disorders are often secondary to disorders of glucose metabolism in diabetes. Although 1α,25-dihydroxyvitamin D3 [1,25(OH)2D3] could ameliorate abnormal glucose metabolism in the development of diabetes, the effect on trace element metabolism is unclear. The objective of this study was to evaluate the influence of 1,25(OH)2D3 on urinary excretions of trace elements in Zucker diabetic fatty (ZDF) rats. Methods At 6 weeks of age, male ZDF (n = 40) rats were subdivided into four groups: diabetic model (ZDF), low-dose (ZDF + VL, 2 μg/kg⋅bw), middle-dose (ZDF + VM, 8 μg/kg⋅bw) and high-dose (ZDF + VH, 16 μg/kg⋅bw) 1,25(OH)2D3 groups. Another 10 Zucker lean (ZL) rats served as a control group. All rats were given vitamin D deficient Purina #5008 chow and the intervention groups were given the corresponding dose of 1,25(OH)2D3 by gavage on alternate days for 7 weeks. Microalbuminuria (MALB) and urinary creatinine concentration were detected by a biochemical autoanalyzer. Urine trace element concentrations were measured using inductively coupled plasma mass spectrometry (ICP-MS) and were corrected by urinary creatinine. Results Throughout the intervention phase, MALB, UACR and urinary creatinine levels in the ZDF group were significantly higher than those in the ZL group, and showed a gradual increase with the prolongation of the intervention time. These changes were reversed in a dose-dependent manner after 1,25(OH)2D3 intervention (P < 0.05). Correspondingly, most of the urinary trace element excretions in the ZDF rats were significantly increased compared with the ZL group, and 1,25(OH)2D3 intervention significantly reduced the urinary copper (Cu), zinc (Zn), selenium (Se) and molybdenum (Mo) levels in the ZDF rats (P < 0.05), especially in the medium and high dose groups. Conclusion 1,25(OH)2D3 had improvement effects on urinary Cu, Zn, Se, and Mo excretions in ZDF rats, suggesting that it may be related to the reduction of diabetic renal impairment and renal oxidative damage.
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Affiliation(s)
- Dongxia Wang
- Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hebei Key Laboratory of Environment and Human Health, Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Ning Wang
- Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Zhou
- Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Luo
- Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanyan Li
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Wei Yu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Hongxing Tan
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Gang Liu
- Hebei Key Laboratory of Cardiac Injury Repair Mechanism Study, Department of Cardiology, Hebei International Joint Research Center for Structural Heart Disease, The First Hospital of Hebei Medical University, Shijiazhuang, China,*Correspondence: Gang Liu,
| | - Jun Wang
- School of Food and Drug, Shenzhen Polytechnic, Shenzhen, China,Jun Wang,
| | - Liping Hao
- Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Milluzzo A, Barchitta M, Maugeri A, Magnano San Lio R, Favara G, Mazzone MG, Sciacca L, Agodi A. Do Nutrients and Nutraceuticals Play a Role in Diabetic Retinopathy? A Systematic Review. Nutrients 2022; 14:4430. [PMID: 36297113 PMCID: PMC9612209 DOI: 10.3390/nu14204430] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/13/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
Diabetic retinopathy (DR) is a multifactorial neuro-microvascular disease, whose prevalence ranges from 25% to 60% of subjects affected by diabetes mellitus, representing the main cause of legal blindness in adults of industrialized countries. The treatment of advanced stage of DR is based on invasive and expensive therapies, while few strategies are available for the early stage or prevention. The mechanisms underlying DR involve a complex interplay between the detrimental effects of hyperglycemia, dyslipidemia, hypoxia, and oxidative stress, providing several pathways potentially targeted by nutrients and nutraceuticals. In this study, we conducted a systematic review of observational and interventional studies, evaluating the effect of nutrients and/or nutraceuticals on the risk of DR and their potential use for the treatment of patients with DR. The analysis of the 41 included studies (27 observational and 14 interventional studies) suggests a promising preventive role of some nutrients, in particular for vitamins B (i.e., B1 and B12), D, and E. However, further investigations are necessary to clarify the potential clinical application of nutraceuticals in the prevention and treatment of DR.
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Affiliation(s)
- Agostino Milluzzo
- Department of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, 95122 Catania, Italy
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Via S. Sofia 87, 95123 Catania, Italy
| | - Martina Barchitta
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Via S. Sofia 87, 95123 Catania, Italy
| | - Andrea Maugeri
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Via S. Sofia 87, 95123 Catania, Italy
| | - Roberta Magnano San Lio
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Via S. Sofia 87, 95123 Catania, Italy
| | - Giuliana Favara
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Via S. Sofia 87, 95123 Catania, Italy
| | - Maria Grazia Mazzone
- Research, Preclinical Development and Patents, SIFI S.p.A., Lavinaio-Aci S. Antonio, 95025 Catania, Italy
| | - Laura Sciacca
- Department of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, 95122 Catania, Italy
| | - Antonella Agodi
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Via S. Sofia 87, 95123 Catania, Italy
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Shao R, Su L, Li L, Wu J, He X, Mao D, Cheng Y, Liu J, Chen C, Jin Y, Gao S. Higher selenium was associated with higher risk of diabetes: Consistent evidence from longitudinal and cross-sectional studies based on nail and serum selenium measures. Sci Total Environ 2022; 840:156618. [PMID: 35691345 DOI: 10.1016/j.scitotenv.2022.156618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
Although the association between selenium (Se) and diabetes has been well-discussed in recent years, few studies have focused on the effects of long-term natural Se exposure and rarely concerned the effects of different Se biomarkers. To address this question, we carried out a 7-year longitudinal study on older adults aged over 65 and another cross-sectional study on middle-aged and older adults aged 40 and above from Chinese soil Se-deplete and Se-optimum areas. Cox proportional hazard models were used to evaluate the associations between nail Se levels and incidence risk of diabetes. Unconditional logistic regression models and analysis of variance models were used to examine the associations between serum Se levels and the prevalence risk of diabetes. The nail and serum Se levels were 0.47 ± 0.20 μg/g and 111.09 ± 55.01 μg/L for the two study populations, respectively. For both of the independent studies, higher Se levels were observed to be associated with a higher risk of diabetes and prediabetes. Compared with the Second nail Se quartile (Q2), the adjusted hazard ratios (HRs) and 95 % confidence intervals (95 % CIs) of diabetes for Q1, Q3 and Q4 were 1.24(0.70, 2.21), 1.53(0.98, 2.39) and 1.31(0.76, 2.26), respectively, and the adjusted HRs (95 % CIs) of prediabetes were 1.47(0.77, 2.81), 1.38(0.83, 2.30), and 1.97(1.13, 3.44), respectively. Compared with the first serum Se quintile (Q1), the adjusted odds ratios (ORs) and 95 % CIs of diabetes for higher quintiles were 1.12(0.75, 1.66), 1.05(0.71, 1.57), 1.09(0.73, 1.62) and 1.51(1.02, 2.19), and the adjusted ORs (95 % CIs) of prediabetes were 1.27(0.77, 2.09), 1.70(1.05, 2.74), 1.94(1.21, 3.11) and 1.67(1.03, 2.71). Our findings consistently suggest that higher Se status is associated with a higher risk of diabetes in adults.
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Affiliation(s)
- Ranqi Shao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Liqin Su
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
| | - Li Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jinghuan Wu
- The Key Laboratory of Trace Element Nutrition of National Health Commission of the People's Republic of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nan Wei Road, Xicheng District, Beijing 100050, PR China
| | - Xiaohong He
- Enshi Center for Disease Control and Prevention, Enshi 445000, Hubei, China
| | - Deqian Mao
- The Key Laboratory of Trace Element Nutrition of National Health Commission of the People's Republic of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nan Wei Road, Xicheng District, Beijing 100050, PR China
| | - Yibin Cheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jingyi Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yinlong Jin
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Sujuan Gao
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202-2872, USA
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Gang H, Zhang H, Zheng T, Xia W, Xu S, Li Y. Associations between Maternal Selenium Status and Cord Serum Vitamin D Levels: A Birth Cohort Study in Wuhan, China. Nutrients 2022; 14. [PMID: 35565683 DOI: 10.3390/nu14091715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/10/2022] [Accepted: 04/14/2022] [Indexed: 12/10/2022] Open
Abstract
Serum selenium (Se) has been reported to be associated with serum 25-hydroxyvitamin D [25(OH)D], but epidemiological findings are limited in pregnant women. We aimed to assess the associations between maternal urinary Se concentrations and cord serum 25(OH)D levels. We measured urinary concentrations of Se in the first, second, and third trimesters and cord serum 25(OH)D of 1695 mother-infant pairs from a prospective cohort study in Wuhan, China. The results showed that each doubling of urinary Se concentrations in the first, second, third trimester, and whole pregnancy (average SG-adjusted concentrations across three trimesters) were associated with 8.76% (95% confidence interval (CI): 4.30%, 13.41%), 15.44% (95% CI: 9.18%, 22.06%), 11.84% (95% CI: 6.09%, 17.89%), and 21.14% (95% CI: 8.69%, 35.02%) increases in 25(OH)D levels. Newborns whose mothers with low (<10 μg/L) or medium (10.92−14.34 μg/L) tertiles of urinary Se concentrations in whole pregnancy were more likely to be vitamin D deficient (<20 ng/mL) compared with those with the highest tertile (>14.34 μg/L). Our study provides evidence that maternal Se levels were positively associated with cord serum vitamin D status.
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Ebrahimi Mousavi S, Ghoreishy SM, Hemmati A, Mohammadi H. Association between magnesium concentrations and prediabetes: a systematic review and meta-analysis. Sci Rep 2021; 11:24388. [PMID: 34937856 DOI: 10.1038/s41598-021-03915-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/13/2021] [Indexed: 01/10/2023] Open
Abstract
Studies on the association between serum magnesium level and prediabetes yielded inconsistent results. Therefore, the present meta-analysis was designed to examine the association between serum magnesium levels and prediabetes. Online databases including PubMed, Embase, Scopus and Google Scholar were searched up to October, 2020. A total of 10 studies that reported mean and standard deviation (SD) of magnesium levels in prediabetes and healthy control group were identified. Random effects models were used to pool weighted mean differences (WMDs) of serum magnesium levels. Pooled-analysis showed that subjects with prediabetes had significantly lower serum magnesium levels compared with healthy controls (WMD = - 0.07 mmol/L; 95% CI - 0.09, - 0.05 mmol/L, P < 0.001). A significant heterogeneity observed across included studies (I2 = 95.6%, P < 0.001). However, different subgroup analysis did not detect the potential source of observed heterogeneity. Withdrawal of each individual study had no effect on the overall results. The present meta-analysis showed that circulating magnesium levels in people with prediabetes were significantly lower than healthy controls, confirming that magnesium deficiency may play a role in development and progression of prediabetes. Further studies with larger sample size and robust design are warranted to confirm present results.
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Mo X, Cai J, Lin Y, Liu Q, Xu M, Zhang J, Liu S, Wei C, Wei Y, Huang S, Mai T, Tan D, Lu H, Luo T, Gou R, Zhang Z, Qin J. Correlation between urinary contents of some metals and fasting plasma glucose levels: A cross-sectional study in China. Ecotoxicol Environ Saf 2021; 228:112976. [PMID: 34781133 DOI: 10.1016/j.ecoenv.2021.112976] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/02/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
Many metals are involved in the pathogenesis of diabetes, but most of existing studies focused on single metals. The study of mixtures represents real-life exposure scenarios and deserves attention. This study aimed to explore the potential relationship of urinary copper (Cu), zinc (Zn), arsenic (As), selenium (Se), and strontium (Sr) contents with fasting plasma glucose (FPG) levels in 2766 participants. The levels of metals in urine were determined by inductively coupled plasma-mass spectrometry. We used linear regression models and the Bayesian kernel machine regression (BKMR) to evaluate the association between metals and FPG levels. In the multiple metals linear regression, Zn (β = 0.434), Se (β = 0.172), and Sr (β = -0.143) showed significant association with FPG levels (all P < 0.05). The BKMR model analysis showed that the results of single metal association were consistent with the multiple metals linear regression. The mixture of five metals had a positive over-all effect on FPG levels, and Zn (PIP = 1.000) contributed the most to the FPG levels. Cu and As were negatively correlated with FPG levels in women. The potential interaction effect between Cu and Sr was observed in participants aged ≥ 60 years old (Pinteraction = 0.035). In summary, our results suggested that multiple metals in urine are associated with FPG levels. Further studies are needed to confirm these findings and clarify the underlying mechanisms.
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Affiliation(s)
- Xiaoting Mo
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jiansheng Cai
- Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin 541004, Guangxi, China
| | - Yinxia Lin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Qiumei Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Min Xu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Junling Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Shuzhen Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Chunmei Wei
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Yanfei Wei
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Shenxiang Huang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Tingyu Mai
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China
| | - Dechan Tan
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China
| | - Huaxiang Lu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Tingyu Luo
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China
| | - Ruoyu Gou
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China
| | - Zhiyong Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China; Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China.
| | - Jian Qin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
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