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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. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 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] [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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Xu B, Liu Z, Zhao J, Yu Z. Selenium intake help prevent age-related cataract formation: Evidence from NHANES 2001-2008. Front Nutr 2023; 10:1042893. [PMID: 36776608 PMCID: PMC9912772 DOI: 10.3389/fnut.2023.1042893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 01/09/2023] [Indexed: 01/28/2023] Open
Abstract
Introduction Cataract is one of the leading causes of blindness and visual impairment, about 16 million people around the world. Trace elements play an important role in a variety of the processes in human body. This study aimed to investigate the association between daily dietary intake of trace elements and age-related cataract incidence based on data from the National Health and Nutrition Examination Survey (NHANES) 2001-2008. Methods Iron, zinc, copper, and selenium were conducted in this study among subjects aged 50 years and older for African Americans and 55 and older in US adults. Multivariate logistic regression analysis was used in different models to investigate the association of trace elements intake and cataract. Results After screening, 7,525 subjects were ultimately included in this study. A significant negative association was found between selenium intake and cataract incidence in adjusted models using multivariate logistic regression analysis (model 1: OR = 0.998, 95% CI = 0.997-1.000; model 2: OR = 0.997, 95% CI = 0.995-1.000; and model 3: OR = 0.998, 95% CI = 0.995-1.000). After dividing selenium intake into quintiles, significant negative associations between selenium intake and cataract were observed in the first quintile of model 3, the fourth and fifth quintiles of all models. In subgroup analyses adjusted for age and sex, a significant negative association was observed only in women aged 65-74 years. Discussion Our study points out that maintaining daily dietary selenium intake at higher levels is helpful for cataract prevention, and that increasing daily dietary selenium intake in American women aged 65-74 years may contribute to the prevention of age-related cataract. The intakes of iron, zinc, copper may not be associated with age-related cataract.
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Affiliation(s)
- Baiwei Xu
- Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China,Department of Ophthalmology, Eye Hospital of China Medical University, Shenyang, China,Key Lens Research Laboratory of Liaoning Province, Shenyang, China
| | - Zhongwei Liu
- Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China,Department of Ophthalmology, Eye Hospital of China Medical University, Shenyang, China,Key Lens Research Laboratory of Liaoning Province, Shenyang, China
| | - Jiangyue Zhao
- Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China,Department of Ophthalmology, Eye Hospital of China Medical University, Shenyang, China,Key Lens Research Laboratory of Liaoning Province, Shenyang, China,*Correspondence: Jiangyue Zhao,
| | - Ziyan Yu
- Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China,Department of Ophthalmology, Eye Hospital of China Medical University, Shenyang, China,Key Lens Research Laboratory of Liaoning Province, Shenyang, China,Ziyan Yu,
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Li YQ, Wang Q, Liu R, Li GA, He JL, Huang F, Zhou YF. Associations of exposure to multiple metals with the risk of age-related cataract in Anhui, China: a case-control study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:4680-4693. [PMID: 35972654 DOI: 10.1007/s11356-022-22494-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
It's well-known that multiple metal elements can lead to the change of oxidative stress response levels in vivo. However, their relationship with age-related cataract (ARC) had not been well studied. We designed a case-control study including 210 individuals with ARC and 210 matched control group. The metal levels in their urine specimens were measured using graphite furnace atomic absorption spectrometry (GFAAS) and inductively coupled plasma optical emission spectrometry (ICP-OES). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to select representative metals into the multi-element model and reduce dimension. Multivariate logic analysis and Bayesian kernel machine regression (BKMR) were subsequently used to explore the association of ARC risk with multiple metal elements. We found that magnesium (Mg), chromium (Cr), arsenic (As), manganese (Mn), and selenium (Se) were positively associated with ARC in the single-element model. The multiple exposure model indicated a positive association between Mg and As, in which the OR in their highest quartile were 3.32 (95% CI: 1.24-8.89) and 7.09 (95% CI: 2.56-19.63). The BKMR model also showed the effect of As increased monotonically with its increasing concentration, and high levels of Mg and As had a significant positive effect on ARC risk. In conclusion, we found that exposure to multiple metals was associated with increased ARC risk. Further research is needed to verify these findings in the future.
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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, 230022, Anhui, China
| | - Qian Wang
- Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, 230022, Anhui, China
| | - Ran Liu
- Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, 230022, Anhui, China
| | - Guo-Ao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jia-Liu He
- 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, 230022, Anhui, China.
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