Search

Your search keyword '"Hu, Ruying"' showing total 7 results
Start Over Author "Hu, Ruying" Database OAIster
7 results on '"Hu, Ruying"'

1. Detection of NDM-1 and OXA-10 Co-Producing Providencia rettgeri Clinical Isolate

Author

Li,Yaling, Shao,Kaiyang, Cai,Ruyi, Liu,Yi, Liu,Xiaojing, Ni,Feihua, Zheng,Huiyan, Hu,Ruying, Sun,Ting, Li,Yaling, Shao,Kaiyang, Cai,Ruyi, Liu,Yi, Liu,Xiaojing, Ni,Feihua, Zheng,Huiyan, Hu,Ruying, and Sun,Ting

Abstract

Yaling Li,1,* Kaiyang Shao,1,* Ruyi Cai,1 Yi Liu,2 Xiaojing Liu,2,3 Feihua Ni,1 Huiyan Zheng,1 Ruying Hu,1 Ting Sun1 1Department of Health Management Center, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 2Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China; 3Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ting Sun, Department of Health Management Center, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, People’s Republic of China, Email 1195037@zju.edu.cnBackground: The coexistence of blaNDM-1 with other resistance determinants is rarely reported for Providencia rettgeri. Therefore, this study investigates the phenotypic and genetic characteristics of a multidrug-resistant P. rettgeri strain YQ150713.Methods: P. rettgeri YQ150713 was identified as carrying blaNDM-1. S1-pulsed-field gel electrophoresis (S1-PFGE), Southern blotting, and conjugation experiments were used to determine plasmid characteristics. An antimicrobial susceptibility test was conducted. The complete genomic sequence of YQ150713 was obtained using Illumina NovaSeq 6000 and Oxford nanopore platforms. To further characterize the phylogenetic structure of P. rettgeri YQ150713, average nucleotide identity (ANI) and phylogenetic analyses were conducted.Results: The S1-PFGE, Southern blot, and conjugation assays have confirmed that the isolate P. rettgeri YQ150713 contains the blaNDM-1 gene on a conjugative plasmid pYQ150713-NDM-1. Antimicrobial susceptibility testing has indicated that strain YQ1

Published
2023

2. Analysis of differential expression profile of miRNA in peripheral blood of patients with lung cancer.

Author

He, Qingfang, He, Qingfang, Fang, Yirong, Lu, Feng, Pan, Jin, Wang, Lixin, Gong, Weiwei, Fei, Fangrong, Cui, Jingjie, Zhong, Jieming, Hu, Ruying, Liang, Mingbin, Fang, Le, Wang, Hao, Yu, Min, Zhang, Zuo-Feng, He, Qingfang, He, Qingfang, Fang, Yirong, Lu, Feng, Pan, Jin, Wang, Lixin, Gong, Weiwei, Fei, Fangrong, Cui, Jingjie, Zhong, Jieming, Hu, Ruying, Liang, Mingbin, Fang, Le, Wang, Hao, Yu, Min, and Zhang, Zuo-Feng

Abstract

PurposeTo identify potential molecular targets for lung cancer intervention and diagnosis, we analyzed the differential miRNA expression of peripheral blood between lung cancer patients and healthy controls.MethodsThree pairs of cases' and controls' peripheral blood samples were evaluated for miRNA expression by microarray. 12 miRNAs were selected for RT-PCR validation and target genes prediction. In addition, 4 miRNAs were selected for future validation by RT-PCR in a large sample of 145 cases and 55 frequency-matched healthy controls.ResultsA total of 338 differentially expressed miRNAs were screened and identified by microarray. According to the fold changes, the top ten upregulated miRNAs were hsa-miR-124-3p, hsa-miR-379-5p, hsa-miR-3655, hsa-miR-450b-5p, hsa-miR-29a-5p, hsa-miR-200a-3p, hsa-miR-542-3p, hsa-miR-138-5p, hsa-miR-219a-2-3p, and hsa-miR-4701-3p, and the top ten downregulated miRNAs were hsa-miR-34c-5p, hsa-miR-135a-5p, hsa-miR-132-3p, hsa-miR-3178, hsa-miR-4449, hsa-miR-4999-3p, hsa-miR-1246, hsa-miR-4424, hsa-miR-1252-5p, and hsa-miR-24-2-5p. RT-PCR verification of the 12 miRNAs revealed that 5 of 8 upregulated miRNAs, 2 of 4 downregulated miRNAs showed a significant difference between the cases and controls (P < .05). A large number of target genes and their functional set showed overlapping among the 453 predicted target genes of the 12 miRNAs (P < .01). RT-PCR in the large sample confirmed the significant differential expression level of hsa-miR-29a-5p, hsa-miR-135a-5p, hsa-miR-542-3p, and hsa-miR-4491 between cases and controls (P < .05), and three of these microRNA, except hsa-miR-29a-5p, were significant after Bonferroni correction for adjustment of multiple comparisons.ConclusionThere was a significant difference in miRNAs expression in the peripheral blood between lung cancer patients and healthy controls, and 4 miRNAs were validated by a large-size sample.

Published
2019

3. Analysis of differential expression profile of miRNA in peripheral blood of patients with lung cancer.

Author

He, Qingfang, He, Qingfang, Fang, Yirong, Lu, Feng, Pan, Jin, Wang, Lixin, Gong, Weiwei, Fei, Fangrong, Cui, Jingjie, Zhong, Jieming, Hu, Ruying, Liang, Mingbin, Fang, Le, Wang, Hao, Yu, Min, Zhang, Zuo-Feng, He, Qingfang, He, Qingfang, Fang, Yirong, Lu, Feng, Pan, Jin, Wang, Lixin, Gong, Weiwei, Fei, Fangrong, Cui, Jingjie, Zhong, Jieming, Hu, Ruying, Liang, Mingbin, Fang, Le, Wang, Hao, Yu, Min, and Zhang, Zuo-Feng

Abstract

PurposeTo identify potential molecular targets for lung cancer intervention and diagnosis, we analyzed the differential miRNA expression of peripheral blood between lung cancer patients and healthy controls.MethodsThree pairs of cases' and controls' peripheral blood samples were evaluated for miRNA expression by microarray. 12 miRNAs were selected for RT-PCR validation and target genes prediction. In addition, 4 miRNAs were selected for future validation by RT-PCR in a large sample of 145 cases and 55 frequency-matched healthy controls.ResultsA total of 338 differentially expressed miRNAs were screened and identified by microarray. According to the fold changes, the top ten upregulated miRNAs were hsa-miR-124-3p, hsa-miR-379-5p, hsa-miR-3655, hsa-miR-450b-5p, hsa-miR-29a-5p, hsa-miR-200a-3p, hsa-miR-542-3p, hsa-miR-138-5p, hsa-miR-219a-2-3p, and hsa-miR-4701-3p, and the top ten downregulated miRNAs were hsa-miR-34c-5p, hsa-miR-135a-5p, hsa-miR-132-3p, hsa-miR-3178, hsa-miR-4449, hsa-miR-4999-3p, hsa-miR-1246, hsa-miR-4424, hsa-miR-1252-5p, and hsa-miR-24-2-5p. RT-PCR verification of the 12 miRNAs revealed that 5 of 8 upregulated miRNAs, 2 of 4 downregulated miRNAs showed a significant difference between the cases and controls (P < .05). A large number of target genes and their functional set showed overlapping among the 453 predicted target genes of the 12 miRNAs (P < .01). RT-PCR in the large sample confirmed the significant differential expression level of hsa-miR-29a-5p, hsa-miR-135a-5p, hsa-miR-542-3p, and hsa-miR-4491 between cases and controls (P < .05), and three of these microRNA, except hsa-miR-29a-5p, were significant after Bonferroni correction for adjustment of multiple comparisons.ConclusionThere was a significant difference in miRNAs expression in the peripheral blood between lung cancer patients and healthy controls, and 4 miRNAs were validated by a large-size sample.

Published
2019

4. Vitamin D and cause-specific vascular disease and mortality:a Mendelian randomisation study involving 99,012 Chinese and 106,911 European adults

Author

Huang, Tao, Afzal, Shoaib, Yu, Canqing, Guo, Yu, Bian, Zheng, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Chen, Ningyu, Gao, Ruqin, Chen, Junshi, Clarke, Robert, Chen, Zhengming, Ellervik, Christina, Nordestgaard, Børge G., Lv, Jun, Li, Liming, Collins, Rory, Peto, Richard, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Xiaoming, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Pang, Zengchang, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, Hu, Chen, Zhang, Xukui, Wu, Huifang, He, Pan, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, Qiu, Zhe, Huang, Tao, Afzal, Shoaib, Yu, Canqing, Guo, Yu, Bian, Zheng, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Chen, Ningyu, Gao, Ruqin, Chen, Junshi, Clarke, Robert, Chen, Zhengming, Ellervik, Christina, Nordestgaard, Børge G., Lv, Jun, Li, Liming, Collins, Rory, Peto, Richard, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Xiaoming, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Pang, Zengchang, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, Hu, Chen, Zhang, Xukui, Wu, Huifang, He, Pan, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, and Qiu, Zhe

Abstract

Background: Randomised control trials and genetic analyses have demonstrated that vitamin D or 25-hydroxyvitamin D (25[OH]D) levels may not play a causal role in the development of cardiovascular disease. However, it is unclear if 25(OH)D is causally associated with cause-specific vascular disease and lipids. Therefore, we examined the causal association of 25(OH)D with myocardial infarction, stroke, ischaemic heart disease, ischaemic stroke, subarachnoid haemorrhage, intracerebral haemorrhage, and lipid levels among both Chinese and Europeans. Methods: We used a Mendelian randomisation (MR) design in the China Kadoorie Biobank, the Copenhagen City Heart Study, and the Copenhagen General Population Study. The 25(OH)D-related genetic variants in the CYP2R1 and DCHR7 genes were genotyped in 99,012 Chinese adults and 106,911 Danish adults. Results: In Chinese adults, plasma 25(OH)D levels were not significantly associated with cause-specific vascular disease or mortality, with the exception of intracerebral haemorrhage (HR, 1.09 [95% CI, 1.01,1.18] per 25 nmol/L higher plasma 25(OH)D). In Europeans, plasma 25(OH)D levels were inversely associated with all types of vascular diseases and mortality. However, MR analysis did not demonstrate causal associations of genetically increased 25(OH)D levels with cause-specific vascular diseases, or mortality in both Chinese and European adults. In addition, each 25 nmol/L higher 25(OH)D was observationally associated with lower total cholesterol and low-density lipoprotein cholesterol levels, but higher high-density lipoprotein cholesterol levels. Likewise, MR analysis showed that 25(OH)D levels were not causally associated with lipids in both Chinese and European adults after Bonferroni correction. Conclusions: We found no evidence to support that genetically increased 25(OH)D was associated with a lower risk of ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and lipid levels in both Chinese and European

Published
2019

5. Vitamin D and cause-specific vascular disease and mortality:a Mendelian randomisation study involving 99,012 Chinese and 106,911 European adults

Author

Huang, Tao, Afzal, Shoaib, Yu, Canqing, Guo, Yu, Bian, Zheng, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Chen, Ningyu, Gao, Ruqin, Chen, Junshi, Clarke, Robert, Chen, Zhengming, Ellervik, Christina, Nordestgaard, Børge G., Lv, Jun, Li, Liming, Collins, Rory, Peto, Richard, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Xiaoming, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Pang, Zengchang, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, Hu, Chen, Zhang, Xukui, Wu, Huifang, He, Pan, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, Qiu, Zhe, Huang, Tao, Afzal, Shoaib, Yu, Canqing, Guo, Yu, Bian, Zheng, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Chen, Ningyu, Gao, Ruqin, Chen, Junshi, Clarke, Robert, Chen, Zhengming, Ellervik, Christina, Nordestgaard, Børge G., Lv, Jun, Li, Liming, Collins, Rory, Peto, Richard, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Xiaoming, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Pang, Zengchang, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, Hu, Chen, Zhang, Xukui, Wu, Huifang, He, Pan, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, and Qiu, Zhe

Abstract

Background: Randomised control trials and genetic analyses have demonstrated that vitamin D or 25-hydroxyvitamin D (25[OH]D) levels may not play a causal role in the development of cardiovascular disease. However, it is unclear if 25(OH)D is causally associated with cause-specific vascular disease and lipids. Therefore, we examined the causal association of 25(OH)D with myocardial infarction, stroke, ischaemic heart disease, ischaemic stroke, subarachnoid haemorrhage, intracerebral haemorrhage, and lipid levels among both Chinese and Europeans. Methods: We used a Mendelian randomisation (MR) design in the China Kadoorie Biobank, the Copenhagen City Heart Study, and the Copenhagen General Population Study. The 25(OH)D-related genetic variants in the CYP2R1 and DCHR7 genes were genotyped in 99,012 Chinese adults and 106,911 Danish adults. Results: In Chinese adults, plasma 25(OH)D levels were not significantly associated with cause-specific vascular disease or mortality, with the exception of intracerebral haemorrhage (HR, 1.09 [95% CI, 1.01,1.18] per 25 nmol/L higher plasma 25(OH)D). In Europeans, plasma 25(OH)D levels were inversely associated with all types of vascular diseases and mortality. However, MR analysis did not demonstrate causal associations of genetically increased 25(OH)D levels with cause-specific vascular diseases, or mortality in both Chinese and European adults. In addition, each 25 nmol/L higher 25(OH)D was observationally associated with lower total cholesterol and low-density lipoprotein cholesterol levels, but higher high-density lipoprotein cholesterol levels. Likewise, MR analysis showed that 25(OH)D levels were not causally associated with lipids in both Chinese and European adults after Bonferroni correction. Conclusions: We found no evidence to support that genetically increased 25(OH)D was associated with a lower risk of ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and lipid levels in both Chinese and European

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results