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Niu S, Wang Z, Yin X, Liu X, Qin L, Farooq MR, Danso OP, Zhang Z, Luo Q, Sun C, Song J. A preliminary predictive model for selenium nutritional status in residents based on three selenium biomarkers. J Trace Elem Med Biol 2024; 81:127347. [PMID: 37995511 DOI: 10.1016/j.jtemb.2023.127347] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Selenium (Se) is an essential nutrient and an important component of many selenoproteins that possess fundamental importance to human health. Selenium deficiency and excess will cause corresponding diseases in the human body. The nutritional health of Se in the human body mainly depends on the daily dietary Se intake of the human body, which in turn depends to a certain extent on the content of Se transmitted along the food chain. This study aims to research the transport of Se through the soil-crop-human chain in regions with different Se levels, and to establish the model between the residents' dietary Se intake and the three Se biomarkers (hair, nails, and plasma), to predict the nutritional health status of Se in residents through Se biomarkers. METHOD Carry out field and cross-sectional surveys of populations in Loujiaba Village and Longshui Village. Samples were collected from soil, crops, drinking water, residents' hair, nails, plasma, and diet. The concentration of available Se fractions was extracted from soil samples using 0.1 mol/L K2HPO4. The concentration of total Se for all samples was determined by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS), and the relative standard deviation was less than 5%. In this study, hair, nails, and blood samples were collected from volunteers according to the Declaration of Helsinki and the Ethics Committee of Soochow University. The dietary nutritional structure and dietary Se intake of the population were randomly selected by 12 volunteers using the duplicate portion method. Data were described using mean ± standard deviation. We performed saliency analysis and correlation analysis (with Pearson correlation coefficient), and fitted a regression to evaluate the associations between these variables. RESULTS The soil total Se (5201 ± 609.2 μg/kg) and available Se (307.7 ± 83.5 μg/kg) in Luojiaba Village (LJB) were significantly higher than the soil total Se (229.2 ± 32.5 μg/kg) and available Se (21.9 ± 4.0 μg/kg) in Longshui Village (LS). The residents' dietary Se intake of LJB (150.3 ± 2.2 μg/d) was within the World Health Organization (WHO) recommended intake range, while LS (16.0 ± 0.4 μg/d) was close to the range of Keshan disease occurrence, and there was a risk of insufficient Se intake. The correlation analysis found significant positive correlations between residents' dietary Se intake and the three Se biomarkers. According to the preliminary model established in this study, if the daily dietary Se intake of residents reaches the WHO recommended value of 55-400 μg, the hair, nails, and plasma of Se concentration will be 522.1-2850.5 μg/kg, 1069.0-6147.4 μg/kg, and 128.3-661.36 μg/L, respectively. CONCLUSION Selenium is transmitted through the soil-crop-human chain, and the Se concentration that enters the human body through the food chain in high-Se areas is significantly higher than that in low-Se areas. The nutritional health status of Se in the human body depends on the daily dietary intake of the human body, and there is a significant correlation between the daily dietary Se intake of the human body and the three biomarkers of Se levels in the human body, so the three biomarkers can be used to evaluate the Se nutritional health of the human.
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Affiliation(s)
- Shanshan Niu
- School of Earth and Space Sciences, University of Science and Technology of China, Heifei 230026, Anhui, China
| | - Zhangmin Wang
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu, China; Jiangsu Bio-Engineering Research Center for Selenium, Suzhou 215123, Jiangsu, China; Nanjing University (Suzhou) High-tech Institute, Suzhou 215123, Jiangsu, China.
| | - Xuebin Yin
- Institute of Functional Agriculture (Food) Science and Technology at Yangtze River Delta, Anhui Science and Technology University, Chuzhou 239000, Anhui, China; Jiangsu Bio-Engineering Research Center for Selenium, Suzhou 215123, Jiangsu, China; Nanjing University (Suzhou) High-tech Institute, Suzhou 215123, Jiangsu, China
| | - Xiaodong Liu
- School of Earth and Space Sciences, University of Science and Technology of China, Heifei 230026, Anhui, China
| | - Liqiang Qin
- School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China
| | - Muhammad Raza Farooq
- School of Earth and Space Sciences, University of Science and Technology of China, Heifei 230026, Anhui, China
| | - Ofori Prince Danso
- School of Earth and Space Sciences, University of Science and Technology of China, Heifei 230026, Anhui, China
| | - Zezhou Zhang
- School of Resources and Environment, Anhui Science and Technology University, Chuzhou 239000, Anhui, China; Institute of Functional Agriculture (Food) Science and Technology at Yangtze River Delta, Anhui Science and Technology University, Chuzhou 239000, Anhui, China; Nanjing University (Suzhou) High-tech Institute, Suzhou 215123, Jiangsu, China
| | - Qin Luo
- School of Earth and Space Sciences, University of Science and Technology of China, Heifei 230026, Anhui, China; Nanjing University (Suzhou) High-tech Institute, Suzhou 215123, Jiangsu, China
| | - Chenlu Sun
- Nanjing Institute for Functional Agriculture Science & Technology (iFAST), Nanjing 211800, Jiangsu, China
| | - Jiaping Song
- School of Resources and Environment, Anhui Science and Technology University, Chuzhou 239000, Anhui, China; Institute of Functional Agriculture (Food) Science and Technology at Yangtze River Delta, Anhui Science and Technology University, Chuzhou 239000, Anhui, China; Nanjing University (Suzhou) High-tech Institute, Suzhou 215123, Jiangsu, China.
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