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291 results on '"Hou, Xuhong"'

1. A deep learning system for predicting time to progression of diabetic retinopathy

Author

Dai, Ling, Sheng, Bin, Chen, Tingli, Wu, Qiang, Liu, Ruhan, Cai, Chun, Wu, Liang, Yang, Dawei, Hamzah, Haslina, Liu, Yuexing, Wang, Xiangning, Guan, Zhouyu, Yu, Shujie, Li, Tingyao, Tang, Ziqi, Ran, Anran, Che, Haoxuan, Chen, Hao, Zheng, Yingfeng, Shu, Jia, Huang, Shan, Wu, Chan, Lin, Shiqun, Liu, Dan, Li, Jiajia, Wang, Zheyuan, Meng, Ziyao, Shen, Jie, Hou, Xuhong, Deng, Chenxin, Ruan, Lei, Lu, Feng, Chee, Miaoli, Quek, Ten Cheer, Srinivasan, Ramyaa, Raman, Rajiv, Sun, Xiaodong, Wang, Ya Xing, Wu, Jiarui, Jin, Hai, Dai, Rongping, Shen, Dinggang, Yang, Xiaokang, Guo, Minyi, Zhang, Cuntai, Cheung, Carol Y., Tan, Gavin Siew Wei, Tham, Yih-Chung, Cheng, Ching-Yu, Li, Huating, Wong, Tien Yin, and Jia, Weiping

Published
2024
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8. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study

Author

Sobrin, Lucia, Chong, Yong He, Fan, Qiao, Gan, Alfred, Stanwyck, Lynn K, Kaidonis, Georgia, Craig, Jamie E, Kim, Jihye, Liao, Wen-Ling, Huang, Yu-Chuen, Lee, Wen-Jane, Hung, Yi-Jen, Guo, Xiuqing, Hai, Yang, Ipp, Eli, Pollack, Samuela, Hancock, Heather, Price, Alkes, Penman, Alan, Mitchell, Paul, Liew, Gerald, Smith, Albert V, Gudnason, Vilmundur, Tan, Gavin, Klein, Barbara EK, Kuo, Jane, Li, Xiaohui, Christiansen, Mark W, Psaty, Bruce M, Sandow, Kevin, Jensen, Richard A, Klein, Ronald, Cotch, Mary Frances, Wang, Jie Jin, Jia, Yucheng, Chen, Ching J, Chen, Yii-Der Ida, Rotter, Jerome I, Tsai, Fuu-Jen, Hanis, Craig L, Burdon, Kathryn P, Wong, Tien Yin, Cheng, Ching-Yu, Spracklen, Cassandra N, Chen, Peng, Kim, Young Jin, Wang, Xu, Cai, Hui, Li, Shengxu, Long, Jirong, Wu, Ying, Wang, Ya-Xing, Takeuchi, Fumihiko, Wu, Jer-Yuarn, Jung, Keum-Ji, Hu, Cheng, Akiyama, Koichi, Zhang, Yonghong, Moon, Sanghoon, Johnson, Todd A, Li, Huaixing, Dorajoo, Rajkumar, He, Meian, Cannon, Maren E, Roman, Tamara S, Salfati, Elias, Lin, Keng-Hung, Sheu, Wayne HH, Absher, Devin, Adair, Linda S, Assimes, Themistocles L, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chien, Li-Hsin, Chuang, Lee-Ming, Chuang, Shu-Chun, Du, Shufa, Fann, Cathy SJ, Feranil, Alan B, Friedlander, Yechiel, Gordon-Larsen, Penny, Gu, Dongfeng, Gui, Lixuan, Guo, Zhirong, Heng, Chew-Kiat, Hixson, James, Hou, Xuhong, Hsiung, Chao Agnes, Hu, Yao, Hwang, Mi Yeong, Hwu, Chii-Min, Isono, Masato, Juang, Jyh-Ming Jimmy, Khor, Chiea-Chuen, Kim, Yun Kyoung, Koh, Woon-Puay, Kubo, Michiaki, and Lee, I-Te

Subjects
Biomedical and Clinical Sciences, Cancer, Prevention, Eye Disease and Disorders of Vision, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Aged, Diabetic Retinopathy, Female, Genome-Wide Association Study, Humans, Lipids, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk, Asian Genetic Epidemiology Network Consortium, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract

Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.

Published
2017

9. Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels

Author

Spracklen, Cassandra N, Chen, Peng, Kim, Young Jin, Wang, Xu, Cai, Hui, Li, Shengxu, Long, Jirong, Wu, Ying, Wang, Ya Xing, Takeuchi, Fumihiko, Wu, Jer-Yuarn, Jung, Keum-Ji, Hu, Cheng, Akiyama, Koichi, Zhang, Yonghong, Moon, Sanghoon, Johnson, Todd A, Li, Huaixing, Dorajoo, Rajkumar, He, Meian, Cannon, Maren E, Roman, Tamara S, Salfati, Elias, Lin, Keng-Hung, Guo, Xiuqing, Sheu, Wayne HH, Absher, Devin, Adair, Linda S, Assimes, Themistocles L, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chien, Li-Hsin, Chuang, Lee-Ming, Chuang, Shu-Chun, Du, Shufa, Fan, Qiao, Fann, Cathy SJ, Feranil, Alan B, Friedlander, Yechiel, Gordon-Larsen, Penny, Gu, Dongfeng, Gui, Lixuan, Guo, Zhirong, Heng, Chew-Kiat, Hixson, James, Hou, Xuhong, Hsiung, Chao Agnes, Hu, Yao, Hwang, Mi Yeong, Hwu, Chii-Min, Isono, Masato, Juang, Jyh-Ming Jimmy, Khor, Chiea-Chuen, Kim, Yun Kyoung, Koh, Woon-Puay, Kubo, Michiaki, Lee, I-Te, Lee, Sun-Ju, Lee, Wen-Jane, Liang, Kae-Woei, Lim, Blanche, Lim, Sing-Hui, Liu, Jianjun, Nabika, Toru, Pan, Wen-Harn, Peng, Hao, Quertermous, Thomas, Sabanayagam, Charumathi, Sandow, Kevin, Shi, Jinxiu, Sun, Liang, Tan, Pok Chien, Tan, Shu-Pei, Taylor, Kent D, Teo, Yik-Ying, Toh, Sue-Anne, Tsunoda, Tatsuhiko, van Dam, Rob M, Wang, Aili, Wang, Feijie, Wang, Jie, Bin Wei, Wen, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zhang, Rong, Zhao, Wanting, Chen, Yii-Der Ida, Rich, Stephen S, Rotter, Jerome I, Wang, Tzung-Dau, Wu, Tangchun, Lin, Xu, Han, Bok-Ghee, Tanaka, Toshihiro, Cho, Yoon Shin, Katsuya, Tomohiro, and Jia, Weiping

Subjects
Genetics, Human Genome, Atherosclerosis, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Alleles, Asian People, Cholesterol, Ethnicity, Female, Gene Frequency, Genetic Association Studies, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Lipids, Lipoproteins, HDL, Lipoproteins, LDL, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Triglycerides, White People, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Large-scale meta-analyses of genome-wide association studies (GWAS) have identified >175 loci associated with fasting cholesterol levels, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG). With differences in linkage disequilibrium (LD) structure and allele frequencies between ancestry groups, studies in additional large samples may detect new associations. We conducted staged GWAS meta-analyses in up to 69,414 East Asian individuals from 24 studies with participants from Japan, the Philippines, Korea, China, Singapore, and Taiwan. These meta-analyses identified (P

Published
2017

11. Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning

Author

Pan, Siyuan, Hou, Xuhong, Li, Huating, Sheng, Bin, Fang, Ruogu, Xue, Yuxin, Jia, Weiping, Qin, Jing, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Shen, Dinggang, editor, Liu, Tianming, editor, Peters, Terry M., editor, Staib, Lawrence H., editor, Essert, Caroline, editor, Zhou, Sean, editor, Yap, Pew-Thian, editor, and Khan, Ali, editor

Published
2019
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16. Metabolic dysfunction-associated fatty liver disease increases risk of chronic kidney disease: a systematic review and meta-analysis

Author

Zhou, Jianghua, primary, Sun, Dan-Qin, additional, Targher, Giovanni, additional, D Byrne, Christopher, additional, Lee, Byung-wan, additional, Hamaguchi, Masahide, additional, Kim, Seung Up, additional, Hou, Xuhong, additional, Fadini, Gian Paolo, additional, Shimabukuro, Michio, additional, Furuhashi, Masato, additional, Wang, Ning-Jian, additional, Tilg, Herbert, additional, and Zheng, Ming-Hua, additional

Published
2023
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17. Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN

Author

Dai, Ling, Sheng, Bin, Wu, Qiang, Li, Huating, Hou, Xuhong, Jia, Weiping, Fang, Ruogu, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Descoteaux, Maxime, editor, Maier-Hein, Lena, editor, Franz, Alfred, editor, Jannin, Pierre, editor, Collins, D. Louis, editor, and Duchesne, Simon, editor

Published
2017
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23. Sex- and age-specific associations between abdominal fat and non-alcoholic fatty liver disease: a prospective cohort study.

Author

Chen, Hongli, Liu, Yuexing, Liu, Dan, Liang, Yebei, Zhu, Zhijun, Dong, Keqing, Li, Huating, Bao, Yuqian, Wu, Jiarui, Hou, Xuhong, and Jia, Weiping

Abstract

Obesity is closely related to non-alcoholic fatty liver disease (NAFLD). Although sex differences in body fat distribution have been well demonstrated, little is known about the sex-specific associations between adipose tissue and the development of NAFLD. Using community-based cohort data, we evaluated the associations between magnetic resonance imaging quantified areas of abdominal adipose tissue, including visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT), and incident NAFLD in 2830 participants (1205 males and 1625 females) aged 55–70 years. During a 4.6-year median follow-up, the cumulative incidence rates of NAFLD increased with areas of VAT and SAT both in males and in females. Further analyses showed that the above-mentioned positive associations were stronger in males than in females, especially in participants under 60 years old. In contrast, these sex differences disappeared in those over 60 years old. Furthermore, the risk of developing NAFLD increased non-linearly with increasing fat area in a sex-specific pattern. Additionally, sex-specific potential mediators, such as insulin resistance, lipid metabolism, inflammation, and adipokines, may exist in the associations between adipose tissue and NAFLD. This study showed that the associations between abdominal fat and the risk of NAFLD were stratified by sex and age, highlighting the potential need for sex- and age-specific management of NAFLD. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Correction to: Retinal Microaneurysm Detection Using Clinical Report Guided Multi-Sieving CNN

Author

Dai, Ling, Sheng, Bin, Wu, Qiang, Li, Huating, Hou, Xuhong, Jia, Weiping, Fang, Ruogu, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Descoteaux, Maxime, editor, Maier-Hein, Lena, editor, Franz, Alfred, editor, Jannin, Pierre, editor, Collins, D. Louis, editor, and Duchesne, Simon, editor

Published
2017
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32. Prevalence of Diabetic Retinopathy and Vision-threatening Diabetic Retinopathy in Adults With Diabetes in China

Author

Hou, Xuhong, primary, Wang, Limin, additional, Zhu, Dalong, additional, Guo, Lixin, additional, Weng, Jianping, additional, Zhang, Mei, additional, Zhou, Zhi-Guang, additional, Zou, Dajin, additional, Ji, Qiuhe, additional, Guo, Xiaohui, additional, Wu, Qiang, additional, Chen, Siyu, additional, Yu, Rong, additional, Chen, Hongli, additional, Huang, Zhengjing, additional, Zhang, Xiao, additional, Wu, Jiarui, additional, Wu, Jing, additional, and Jia, Weiping, additional

Published
2022
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36. A multicentre demonstration project to evaluate the effectiveness and acceptability of the web‐based Joint Asia Diabetes Evaluation (JADE) programme with or without nurse support in Chinese patients with Type 2 diabetes

Author

Tutino, G. E., Yang, W. Y., Li, X., Li, W. H., Zhang, Y. Y., Guo, X. H., Luk, A. O., Yeung, R. O. P., Yin, J. M., Ozaki, R., So, W. Y., Ma, R. C. W., Ji, L. N., Kong, A. P. S., Weng, J. P., Ko, G. T. C., Jia, W. P., Chan, J. C. N., Zhu, Yu, Xing, Xiaoping, Ping, Fan, Zhang, Junqing, Ma, Xiaowei, Hong, Jing, Hou, Xuhong, and Zhu, Yanhua

Published
2017
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46. Decreased Abundance of Akkermansia muciniphila Leads to the Impairment of Insulin Secretion and Glucose Homeostasis in Lean Type 2 Diabetes (Adv. Sci. 16/2021)

Author

Zhang, Jing, primary, Ni, Yueqiong, additional, Qian, Lingling, additional, Fang, Qichen, additional, Zheng, Tingting, additional, Zhang, Mingliang, additional, Gao, Qiongmei, additional, Zhang, Ying, additional, Ni, Jiacheng, additional, Hou, Xuhong, additional, Bao, Yuqian, additional, Kovatcheva‐Datchary, Petia, additional, Xu, Aimin, additional, Li, Huating, additional, Panagiotou, Gianni, additional, and Jia, Weiping, additional

Published
2021
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49. Additional file 1 of FGF21/adiponectin ratio predicts deterioration in glycemia: a 4.6-year prospective study in China

Author

Liu, Dan, Wu, Liang, Gao, Qiongmei, Long, Xiaoxue, Hou, Xuhong, Qian, Lingling, Ni, Jiacheng, Fang, Qichen, Li, Huating, and Jia, Weiping

Subjects
hormones, hormone substitutes, and hormone antagonists
Abstract

Additional file 1: Figure S1. Flow diagram of the study population. Table S1. Correlations between baseline serum FGF21/adiponectin ratio and baseline risk factors (n = 6361). Table S2. Baseline and follow-up glucose metabolism of subjects without diabetes at baseline (n = 4797). Table S3. Baseline characteristics of subjects with or without incident prediabetes at 4.6 years (n = 1539). Table S4. Logistic regression analysis of baseline FGF21/adiponectin ratio, FGF21, and adiponectin levels in new-onset diabetes. Table S5. Logistic regression analysis of baseline FGF21/adiponectin ratio, FGF21, and adiponectin levels in new-onset diabetes among males and females with prediabetes (n = 3244). Table S6. Logistic regression analysis of baseline FGF21/adiponectin ratio, FGF21, and adiponectin levels in new-onset diabetes stratified by age (n = 4797).

Published
2021
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