ArticleFrontiers in nutrition2022
A County-Level Spatial Study of Serum Selenoprotein P and Keshan Disease.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Geospatial Association between Keshan Disease and Selenoprotein P in Heilongjiang Province: A Bivariate Spatial Autocorrelation Analysis.Biological trace element research · 2026Article
- Spatiotemporal distribution and clinical manifestations of moyamoya disease in Jiangxi Province, China: a retrospective hospital-based study.BMJ public health · 2026Article
- Article
- Gene identification, expression analysis, and molecular docking of SAT and OASTL in the metabolic pathway of selenium in Cardamine hupingshanensis.Plant cell reports · 2024Article
- Hair Selenium of Residents in Keshan Disease Endemic and Non-endemic Regions in China.Biological trace element research · 2023Article
- Use of Microbial Consortia in Bioremediation of Metalloid Polluted Environments.Microorganisms · 2023Review
- Selenium Status and Its Antioxidant Role in Metabolic Diseases.Oxidative medicine and cellular longevity · 2022Review
- Selenium-enriched plant foods: Selenium accumulation, speciation, and health functionality.Frontiers in nutrition · 2022Review
- A county-level spatial epidemiological study of hair selenium and Keshan disease.Frontiers in nutrition · 2022Article
- Spatial Epidemiological Analysis of Keshan Disease in China.Annals of global health · 2022Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKeshan disease (KD) is strongly associated with selenium deficiency. Selenoprotein P (SELENOP) is a recognized molecular biomarker of selenoproteins and an important indicator of selenium nutrition. This study was aimed at providing geographically precisely visualized evidence of selenium nutrition at molecular level for assessing KD prevention, control, and elimination on the etiological perspective.
methodsWe used spatial ecological design for this study. The serum SELENOP levels of the residents were measured by ELISA. ArcGIS version 9.0 was used for spatial description, spatial autocorrelation analysis of SELENOP levels and spatial regression with per capita disposable income.
resultsThe mean serum SELENOP levels of the 6,382 residents in 1,688 counties were 4.62 ± 1.82 μg/mL. The mean serum SELENOP levels of the residents living in the townships and rural areas of KD endemic counties were not statistically significantly lower than those of the KD non-endemic counties. The mean serum SELENOP levels were globally clustered (Moran's
conclusionsThe results of this study were the geographically precisely visualized evidence of selenium nutrition at molecular level for assessing KD elimination on the etiological perspective. The cold spot counties found by Getis-Ord-Gi
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