The Experts below are selected from a list of 11691 Experts worldwide ranked by ideXlab platform
Shugang Li - One of the best experts on this subject based on the ideXlab platform.
-
Metabolic syndrome in Xinjiang Kazakhs and construction of a risk prediction model for cardiovascular disease risk.
PloS one, 2018Co-Authors: Jia He, Wenwen Yang, Jingyu Zhang, Shugang Li, Xianghui Zhang, Kui Wang, Yunhua HuAbstract:The high prevalence of metabolic syndrome (MetS) and cardiovascular diseases (CVD) is observed among Kazakhs in Xinjiang. Because MetS may significantly predict the occurrence of CVD, the inclusion of CVD-related indicators in metabolic network may improve the predictive ability for a CVD-risk model for Kazakhs in Xinjiang. The study included 2,644 subjects who were followed for 5 years or longer. CVD cases were identified via medical records of the local hospitals from April 2016 to August 2017. Factor analysis was performed in 706 subjects (267 men and 439 women) with MetS to extract CVD-related potential factors from 18 biomarkers tested in a routine health check-up, served as a synthetic predictor (SP). We evaluated the predictive ability of the CVD-risk model using age and SP, logistic regression discrimination for internal validation (n = 384; men = 164, women = 220) and external validation (n = 219; men = 89, women = 130), calculated the probability of CVD for each participant, and receiver operating characteristic curves. According to the diagnostic criteria of JIS, the prevalence of MetS in Kazakh was 30.9%. Seven potential factors with a similar pattern were obtained from men and women and comprised the CVD predictors. When predicting CVD in the internal validation, the area under the curve (AUC) were 0.857 (95%CI 0.807-0.898) for men and 0.852 (95%CI 0.809-0.889) for women, respectively. In the external validation, the AUC to predict CVD were 0.914 (95%CI 0.832-0.963) for men and 0.848 (95%CI 0.774-0.905) for women. It is suggested that SP might serve as a useful tool in identifying CVD with in Kazakhs, especially for Kazakhs men. Among 7 potential factors were extracted from 18 biomarkrs in Kazakhs with MetS, and SP may be used for CVD risk assessment.
-
the increased number of tumor associated macrophage is associated with overexpression of vegf c plays an important role in Kazakh escc invasion and metastasis
Experimental and Molecular Pathology, 2017Co-Authors: Shugang Li, Lijuan Pang, Jianming Hu, Yunzhao Chen, Lan Yang, Xian Li Jiang, Xue Li Wang, Jin Zhao, Yan QiAbstract:Abstract Tumor associated macrophages (TAMs) play an important role in the growth, progression, and metastasis of tumors. The distribution of TAMs in Kazakh esophageal squamous cell carcinoma (ESCC) is not determined. We aimed to investigate the role of TAMs in the occurrence and progression of Kazakh ESCC. CD163 was used as the TAM marker, and immunohistochemistry (IHC) counts were used to quantify the density of TAMs in tumor nest and surrounding stroma. IHC staining was used to evaluate the expression of vascular endothelial growth factor C (VEGF-C) in Kazakh ESCC and cancer adjacent normal (CAN) tissues. The density of TAMs in Kazakh ESCCs tumor nest and stromal was significantly higher than that in CAN tissues. The increased number of CD163-positive TAMs in tumor nest and tumor stromal was positively associated with Kazakh ESCC lymph node metastasis and clinical stage progression. Meanwhile, the expression of VEGF-C in Kazakh ESCCs was significantly higher than that in CAN tissues. Overexpression of VEGF-C in Kazakh ESCCs was significantly associated with gender, depth of tumor invasion, lymph node metastasis and tumor clinical stage. The increased number of TAMs, either in the tumor nests or tumor stroma was positively correlated with the overexpression of VEGF-C, which may promote lymphangiogenesis and play an important role in the invasion and metastasis of Kazakh ESCC.
-
tgf β1 smad signaling pathway regulates epithelial to mesenchymal transition in esophageal squamous cell carcinoma in vitro and clinical analyses of cell lines and nomadic Kazakh patients from northwest xinjiang china
PLOS ONE, 2014Co-Authors: Lijuan Pang, Shugang Li, Qiuxiang Li, Jianwei He, Yang Zhou, Xinxin Ju, Chengyan Wang, Wei Zhao, Jianming Hu, Yan QiAbstract:Invasion and metastasis are the major causes of death in patients with esophageal squamous cell carcinoma (ESCC). Epithelial-mesenchymal transition (EMT) is a critical step in tumor progression and transforming growth factor-β1 (TGF-β1) signaling has been shown to play an important role in EMT. In this study, we investigated how TGF-β1 signaling pathways contributed to EMT in three ESCC cell lines as well as 100 patients of nomadic ethnic Kazakhs residing in northwest Xinjiang Province of China. In vitro analyses included Western blotting to detect the expression of TGF-β1/Smad and EMT-associated proteins in Eca109, EC9706 and KYSE150 cell lines following stimulation with recombinant TGF-β1 and SB431542, a potent inhibitor of ALK5 that also inhibits TGF-β type II receptor. TGF-β-activated Smad2/3 signaling in EMT was significantly upregulated as indicated by mesenchymal markers of N-cadherin and Vimentin, and in the meantime, epithelial marker, E-cadherin, was markedly downregulated. In contrast, SB431542 addition downregulated the expression of N-cadherin and Vimentin, but upregulated the expression of E-cadherin. Moreover, the TGF-β1-induced EMT promoted invasion capability of Eca109 cells. Tumor cells undergoing EMT acquire fibroblastoid-like phenotype. Expressed levels of TGF-β1/Smad signaling molecules and EMT-associated proteins were examined using immunohistochemical analyses in 100 ESCC tissues of Kazakh patients and 58 matched noncancerous adjacent tissues. The results showed that ESCC tissues exhibited upregulated expression of TGF-β1/Smad. We also analyzed the relationship between the above proteins and the patients' clinicopathological characteristics. The TGF-β1/Smad signaling pathway in human Eca109 ESCC cells may carry similar features as in Kazakh ESCC patients, suggesting that TGF-β1/Smad signaling pathway may be involved in the regulation of EMT in ethnic Kazakh patients with ESCC from Xinjiang, China.
-
ethnic differences in prevalence of general obesity and abdominal obesity among low income rural Kazakh and uyghur adults in far western china and implications in preventive public health
PLOS ONE, 2014Co-Authors: Jia He, Jingyu Zhang, Shugang Li, Mei Zhang, Yusong Ding, Shangzhi XuAbstract:Background The global pandemic of obesity has become a disastrous public health issue that needs urgent attention. Previous studies have concentrated in high-income urban settings and few cover low-income rural settings especially nomadic residents in mountain areas. This study focused on low-income rural and nomadic minority people residing in China’s far west and investigated their prevalence and ethnic differences of obesity. Methods A questionnaire-based survey and physical examination of 8,036 individuals were conducted during 2009–2010, using stratified cluster random sampling method in nomadic Kazakhs and rural Uyghur residents (≥18 years old) in 18 villages, Xinjiang, China, about 4,407 km away from capital Beijing. Obesity was defined by BMI and WC. Results The overall prevalence of general and abdominal obesity in Kazakh adults were 18.3% and 60.0%, respectively and in Uyghur, 7.6% and 54.5%, respectively. Female’s prevalence of obesity was higher than male’s for general obesity (45–54 age group in Uyghur, P = 0.041) and abdominal obesity (≥55 years in Kazakhs, P55∼ = 0.010, P65∼ = 0.001; and ≥18 years in Uyghurs, P<0.001). Kazakh’s prevalence of obesity was higher than Uyghur’s (general obesity: ≥35 years, P<0.001; abdominal obesity: ≥25 years in males and ≥65 years in females, P<0.01). The prevalence of obesity increased after 18 years old and subsequently decreased after 55 years old. Meat consumption, older age, and female gender had a higher risk of obesity in these two minorities. Conclusions Both general and abdominal obesity were common in rural ethnic Kazakhs and Uyghurs. The prevalence rates were different in these two minorities depending on ethnicity, gender, and age. Kazakhs, females and elderly people may be prioritized in prevention of obesity in western China. Because of cost-effectiveness in measuring BMI and WC, we recommend that BMI and WC be integrated into local preventive policies in public health toward screening obesity and related diseases in low-income rural minorities.
-
epidemic features of dyslipidemia among uygur Kazakh and han adults in xinjiang china in 2010
Chinese Journal of Preventive Medicine, 2013Co-Authors: Yapeng Li, Jingyu Zhang, Mei Zhang, Yusong Ding, Shugang LiAbstract:OBJECTIVE: To investigate the prevalence of dyslipidemia among the Uyghur, Kazakh, and Han adults in Xinjiang Region and to analyze the features of distribution. METHODS: 3625 Uygur residents, 1773 males and 1852 females, aged (42.89 ± 15.95) years old, 4148 Kazakh residents, 1649 males and 2499 females, aged (44.14 ± 13.27) years old, and 3733 Han residents, 1563 males and 2170 females, aged (49.66 ± 12.24) years old, were selected by stratified cluster random sampling method in year 2010, 11 506 adults in total. Questionnaire and physical examination were conducted, including fasting venous blood samples to test the levels of triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), and high density lipoprotein cholesterol (HDL-C). RESULTS: The levels of TG, TC, HDL-C and LDL-C were separately (1.31 ± 1.03), (4.44 ± 1.20), (1.41 ± 0.62), and (2.44 ± 0.81) mmol/L in the Uygur adults; separately (1.24 ± 0.99), (4.55 ± 1.31), (1.41 ± 0.62), and (2.40 ± 0.87) mmol/L in the Kazakh adults; and (1.62 ± 1.34), (4.60 ± 1.10), (1.16 ± 0.68), and (2.23 ± 0.93) mmol/L in the Han adults, respectively. The general prevalence of dyslipidemia in the Uygur, Kazakh, and Han adults were 42.4% (1537/3625), 31.6% (1311/4148), and 30.2% (1127/3733) respectively; while the age-standardized prevalence were separately 42.4%, 31.8%, and 28.2%. The prevalence of dyslipidemia in the Uygur adults was significantly higher than it of the Kazakh and Han adults, with statistical significance (χ(2) = 179.87, P < 0.01). The standardized prevalence of dyslipidemia in the Uygur males was 52.6%, significantly higher than it of the Kazakh and Han males (35.4% and 33.2%), with statistical significance (χ(2) = 159.19, P < 0.01). The prevalence of hypertriglyceridemia among the Han adults was 17.3%, which was significantly higher than it among the Uyghur and Kazakh adults (χ(2) = 172.55, P < 0.01). The prevalence of hypercholesterolemia in Kazakh (6.9%) was higher than it in Uygur (5.2%), with statistical significance (χ(2) = 10.20, P < 0.01). The prevalence of low HDL-C hyperlipidemia in the above 3 ethnic were 33.6%, 20.8% and 11.1%, respectively; while Uygur was the highest (χ(2) = 552.82, P < 0.01), followed by Kazakh, which was higher than Han (χ(2) = 138.01, P < 0.01). There was no significant difference in the prevalence of high LDL-C hyperlipidemia among the adults of the 3 ethnics. CONCLUSION: The prevalence of dyslipidemia among the Uygur, Kazakh, and Han adults in Xinjiang were all higher than the national average prevalence, the distribution of dyslipidemia varied with ethnicity, age and sex.
Xiufen Zheng - One of the best experts on this subject based on the ideXlab platform.
-
genetic polymorphism of 17 y chromosomal strs in Kazakh and uighur populations from xinjiang china
International Journal of Legal Medicine, 2014Co-Authors: Wenjuan Shan, Abdurahman Ablimit, Weijiang Zhou, Fuchun Zhang, Xiufen ZhengAbstract:To evaluate the utility of Y-STR data for DNA testing in two ethnic populations of Xinjiang province, a sample of 338 subjects (121 Kazakhs and 217 Uighurs) was tested. In the Kazakh and Uighur populations, the haplotype diversity was 0.868 and 0.996, respectively, and the discrimination capacity was 0.5950 and 0.8940, respectively. High numbers of singleton haplotypes were observed among Xinjiang Uighurs, but fewer were found in Kazakhs. Our results were also compared with geographically and linguistically close populations.
Shilin Li - One of the best experts on this subject based on the ideXlab platform.
-
population genetic analysis of the globalfiler str loci in 748 individuals from the Kazakh population of xinjiang in northwest china
International Journal of Legal Medicine, 2016Co-Authors: Honghua Zhang, Shuping Yang, Liwen Pu, Liming Li, Shilin LiAbstract:The six-dye GlobalFiler™ Express PCR amplification kit incorporates 21 commonly used autosomal short tandem repeat (STR) loci and three gender determination loci. In this study, we analyzed the GlobalFiler STR loci on 748 unrelated individuals from a Chinese Kazakh population of Xinjiang, China. No significant deviations from Hardy-Weinberg equilibrium and linkage disequilibrium were observed within and between 21 autosomal STR loci. SE33 showed the greatest power of discrimination in Kazakh population. The combined power of discrimination of Kazakh was 99.999999999999999999999996797 %. No significant differences of allele frequencies were observed between Kazakh and Uyghur at all 15 tested STR loci, as well as Mongolian. Significant differences were only observed between Kazakh and the other Chinese populations at TH01. Multiple STR loci showed significant differences between Kazakh and Arab, as well as South Portuguese. The multidimensional scaling plot (MDS) plot and neighbor-joining tree also showed Kazakh is genetically close to Uyghur.
Niels Morling - One of the best experts on this subject based on the ideXlab platform.
-
analysis of uyghur and Kazakh populations using the precision id ancestry panel
Forensic Science International-genetics, 2019Co-Authors: H Simayijiang, Claus Borsting, Torben Tvedebrink, Niels MorlingAbstract:Abstract Autosomal ancestry informative markers (AIMs) are important markers for inferring ancestry of humans. In the present study, we typed 105 Uyghurs and 94 Kazakhs with the Precision ID Ancestry Panel that amplifies 165 autosomal AIMs. No statistically significant deviation from Hardy-Weinberg equilibrium and no linkage disequilibrium between loci was observed after Bonferroni correction. STRUCTURE and PCA analyses showed that Uyghurs and Kazakhs appeared as admixed individuals of primarily European and East Asian ancestry and were clearly differentiated from Europeans, Middle Easterners, South/Central Asians, and East Asians. However, it was not possible to differentiate the two populations from each other and they were also difficult to differentiate from Greenlanders, a population with European/Inuit admixture. GenoGeographer was used to evaluate the weight of the evidence. Initially, the results showed that the majority of AIM profiles from Uyghur and Kazakh individuals were not represented by any of the 36 reference populations of the GenoGeographer database. Consequently, it was not reasonable to infer the ancestry of these individuals. A randomly selected subset of the studied populations (75 Uyghur and 75 Kazakh individuals) was used to construct two new reference populations for GenoGeographer, and ancestry prediction was performed on the remaining test individuals. A total of 42 out of 49 test individuals were represented by at least one population after the introduction of Uyghur and Kazakh reference populations. Likelihood ratios ≥106 were obtained when the alternative hypothesis was that the individual belonged to the South/Central Asian, East Asian, Middle Eastern, European, or the admixed Greenlandic population.
-
analysis of 16 autosomal str loci in uyghur and Kazakh populations from xinjiang china
Forensic Science International: Genetics Supplement Series, 2017Co-Authors: H Simayijiang, Claus Borsting, Vânia Pereira, Niels MorlingAbstract:Abstract The AmpFlSTR ® NGM SElect™ Kit is a highly robust multiplex kit developed for human identification. This kit contains the expanded European Standard Set of Loci and the highly polymorphic SE33 locus. The high power of discrimination makes it one of the most informative kits for forensic applications. In order to evaluate the kit and get population data for Chinese Uyghurs and Kazakhs, the genetic polymorphisms of 16 autosomal STR loci included in the NGM SElect™ Kit: D3S1358, vWA, D16S539, D2S1338, D8S1179, D21S11, D18S51, D19S433, TH01, FGA, D10S1248, D22S1045, D2S441, D1S1656 D12S391, SE33, and Amelogenin were studied in 324 unrelated Uyghur and 124 unrelated Kazakh individuals from the Xinjiang Autonomous Region of China. Allele frequencies and forensic relevant parameters were calculated using the Arlequin software and DNAVIEW. The genotype frequency distribution of each locus did not deviate from Hardy-Weinberg Equilibrium in any of the two populations. The forensic parameters indicated that the kit is suitable for personal identification, paternity testing, and complex kinship analysis in Uyghur and Kazakh populations. Allele frequency data for the STR loci were compared with other previously published population data.
Honghua Zhang - One of the best experts on this subject based on the ideXlab platform.
-
population genetic analysis of the globalfiler str loci in 748 individuals from the Kazakh population of xinjiang in northwest china
International Journal of Legal Medicine, 2016Co-Authors: Honghua Zhang, Shuping Yang, Liwen Pu, Liming Li, Shilin LiAbstract:The six-dye GlobalFiler™ Express PCR amplification kit incorporates 21 commonly used autosomal short tandem repeat (STR) loci and three gender determination loci. In this study, we analyzed the GlobalFiler STR loci on 748 unrelated individuals from a Chinese Kazakh population of Xinjiang, China. No significant deviations from Hardy-Weinberg equilibrium and linkage disequilibrium were observed within and between 21 autosomal STR loci. SE33 showed the greatest power of discrimination in Kazakh population. The combined power of discrimination of Kazakh was 99.999999999999999999999996797 %. No significant differences of allele frequencies were observed between Kazakh and Uyghur at all 15 tested STR loci, as well as Mongolian. Significant differences were only observed between Kazakh and the other Chinese populations at TH01. Multiple STR loci showed significant differences between Kazakh and Arab, as well as South Portuguese. The multidimensional scaling plot (MDS) plot and neighbor-joining tree also showed Kazakh is genetically close to Uyghur.
