A spatial ecological study of selenoprotein P and Keshan disease

Zhang, Xiao; Wang, Tong; Li, Shie; Ye, Chao; Hou, Jie; Li, Qi; Liang, Hong; Zhou, Huihui; Guo, Zhaojiang; Han, Xingyu; Wang, Zhe; Wu, Huan; Gao, Xiangzhi; Xu, Chunyan; Zhen, Rongxia; Chen, Xiangli; Duan, Yinghui; Wang, Yanan; Han, Shan

doi:10.1016/j.jtemb.2018.10.011

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…Keshan disease is very suitable for spatial analysis because of its endemicity. Although we reported a study of serum SELENOP and KD at the provincial level (27), there has been no report on nationwide county-level spatial epidemiological study of serum SELENOP and KD in China. County-level spatial study is small area study.…”

Section: Introductionmentioning

confidence: 90%

A County-Level Spatial Study of Serum Selenoprotein P and Keshan Disease

Jia

Wang

et al. 2022

Front. Nutr.

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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 I = 0.03, z = 6.37, and P < 0.0001), and 99.3% (553/557) of the cold spots, identified by local autocorrelation analysis (Getis-Ord-Gi* analysis), were located in the KD endemic provinces of Shaanxi, Shanxi, Henan, Hebei, Shandong, Inner Mongolia, Gansu, Hubei, Chongqing, Yunnan, and Sichuan. The serum SELENOP level was positively correlated with per capita disposable income (t = 3.52, P = 0.0004).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* analysis in the KD endemic provinces should be the high priority of KD precision prevention and control.

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Section: Introductionmentioning

confidence: 90%

A County-Level Spatial Study of Serum Selenoprotein P and Keshan Disease

Jia

Wang

et al. 2022

Front. Nutr.

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“…与大骨节病的发生和发展有关 [57] ，大骨节病生态环境、食物链和病区人群流行病学调查表明，病区饮用水、土壤和食品中的硒含量均低于非病区 [58] ，大骨节病患者血液、尿液和头发中硒含量低于正常人 [59] ，提示硒在大骨节病发生发展中具有重要作用 [52] 。Yang 等 [60] 研究发现大骨节病患者中硒蛋白转录谱失调，其中 17 个硒蛋白基因(GPX1, GPX2, GPX3, GPX6, DIO1, DIO3, TXNRD1, TXNRD2, TXNRD3, SPS2, SelO, SelH, SelI, SelK, SelN, SelR, and SelV)表达下调，硒蛋白可能通过影响抗氧化能力参与大骨节病软骨细胞凋亡的发生。大量研究发现硒蛋白基因多态性与大骨节病的发病风险相关，包括 GPX1 Pro 198Leu、GPX4 单体型 A-T、DIO2(rs1352815、rs1388382)、Sel15 rs5859、SelS 105 G＞A 等，且 SelS 105 G＞A 与 PI3K/Akt 信号通路上调有关 [61][62][63][64][65] 。此外，研究发现大骨节病患者 DIO3 和 GPX3 基因高甲基化和低表达与疾病风险相关，与大骨节病病情严重程度相关 [66,67] 。大骨节病全基因组 DNA 甲基化谱与 mRNA 表达谱联合分析表明硒化合物代谢通路在大骨节病中具有重要作用 [68] 。克山病是一种以心肌线粒体损伤为主要特征的地方性心肌病，其流行的地理环境特点是低硒 [69] 。研究表明克山病流行区居民血清 SelP 水平明显低于非流行区 [70] ，克山病患者中 TrxR1 和 GPX1 基因低表达可降低抗氧化能力，导致心肌氧化损伤，其在克山病的发病机制中起重要作用 [71] 。另有研究发现 GPX1…”

Section: 硒蛋白与地方病大骨节病是一种地方性骨关节疾病，主要发生在儿童及青少年，以四肢关节软骨和骺(板)软骨坏死为主要病理改变。硒蛋白的遗传与表观遗传相互作用unclassified

Research advance on the important role of selenoproteinin human health

Zhang¹,

He²,

Yang³

et al. 2021

Chin. Sci. Bull.

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“…A study of the differential expression profiles of Keshan disease lncRNA/mRNA genes based on RNA-seq of studies have revealed that selenium deficiency is closely related to the occurrence and development of KSD. The selenium content of the environment of the KSD area, as found in the soil, local food, and hair and blood of the people, and the plasma selenoprotein P are lower than those in non-affected areas (4,5). A systematic review and metaanalysis of selenium deficiency and KSD revealed that the supplementation of selenium could significantly reduce the incidence of KSD (2).…”

Section: Original Articlementioning

confidence: 99%

A study of the differential expression profiles of Keshan disease lncRNA/mRNA genes based on RNA-seq

Huang¹,

Li²,

Wang³

et al. 2021

Cardiovasc Diagn Ther

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Background: This study aims to analyze the differential expression profiles of lncRNA in Keshan disease (KSD) and to explore the molecular mechanism of the disease occurrence and development.Methods: RNA-seq technology was used to construct the lncRNA/mRNA expression library of a KSD group (n=10) and a control group (n=10), and then Cuffdiff software was used to obtain the gene lncRNA/ mRNA FPKM value as the expression profile of lncRNA/mRNA. The fold changes between the two sets of samples were calculated to obtain differential lncRNA/mRNA expression profiles, and a bioinformatics analysis of differentially expressed genes was performed.Results: A total of 89,905 lncRNAs and 20,315 mRNAs were detected. Statistical analysis revealed that 921 lncRNAs had obvious differential expression, among which 36 were up-regulated and 885 were downregulated; 2,771 mRNAs presented with obvious differential expression, among which 253 were up-regulated and 2,518 were down-regulated, and cluster analysis indicated that the gene expression trends among the sample groups were consistent. The differentially expressed lncRNAs were tested for target genes, and 117 genes were found to be regulated by differential lncRNAs, which were concentrated in six signaling pathways, among which the apoptosis FoxO signaling pathway ranked first, so the target genes IGF1R and TGFB2 were screened out.Conclusions: In this study, RNA-seq technology was used to obtain the differential gene expression profiles of KSD, and bioinformatics analysis was performed to screen out target genes, pointing out the direction for further research into the etiology, pathogenesis and drug treatment targets of KSD.

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A spatial ecological study of selenoprotein P and Keshan disease

Cited by 10 publications

References 22 publications

A County-Level Spatial Study of Serum Selenoprotein P and Keshan Disease

A County-Level Spatial Study of Serum Selenoprotein P and Keshan Disease

Research advance on the important role of selenoproteinin human health

A study of the differential expression profiles of Keshan disease lncRNA/mRNA genes based on RNA-seq

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