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5. Global prevalence and characteristics of infections and clinical outcomes in hospitalised patients with cirrhosis: a prospective cohort study for the CLEARED Consortium

Author

Kumar, Shiva, Gadano, Adrián, Marciano, Sebastián, Tudehope, Fiona, Prudence, Alexander, Gibson, Robert, Zekry, Amany, Doyle, Adam, Si, Hooi Ling, Kim, Yu Sung, Gofton, Cameron, Riordan, Stephen, MacQuillan, Gerry, Al-Tamimi, Hala, Michalczuk, Matheus, Farias, Alberto, Zitelli, Patricia, Pereira, Gustavo, Victor, Livia, Bera, Chinmay, Faisal, Nabiha, Dahiya, Monica, Tandon, Puneeta, Lohoues, Marie Jeanne, Lah, Ponan Claude Regis, Benítez, Carlos, Arrese, Marco, Guan, Jing, Xian, Yongchao, Zhu, Chuanwu, Wang, Yingling, Su, Man, Su, Minghua, Wang, Xinrui, Gao, Yanhang, Peng, Feng, Jiang, Yongfang, Zhao, Caiyan, Wang, Wei, Yin, Dedong, Wang, Lei, Lu, Mingqin, Cai, Yijing, Guo, Feng, Wang, Xiaozhong, Zhang, Ningping, Zhang, Wanqin, Dong, Fuchen, Li, Hai, Liu, Jing, Zheng, Xin, Tang, Hong, Yan, Libo, Xu, Bin, Wei, Linlin, Xu, Zhen, Gao, Zhiliang, Gao, Haibing, Lin, Minghua, Rao, Qunfang, Wu, Xiaoping, Li, Beiling, Chen, Jinjun, Liu, Chenghai, Zhang, Yanyun, Deng, Huan, Hu, Peng, Wang, Jian, Li, Jie, Bettinger, Dominik, Schultheiß, Michael, Belimi, Hibat Allah, Debzi, Nabil, Mostafa, Alaa, Fouad, Yasser, Fisseha, Henok, Venkatachalapathy, Suresh Vasan, Aravinthan, Aloysious D, Rajoriya, Neil, Faulkes, Rosemary, Leith, Damien, Forrest, Ewan, Danielle, Adebayo, Kennedy, James, Yung, Diana, Alexopoulou, Alexandra, Mani, Iliana, Fung, James, Katchman, Helena, Rabinowich, Liane, Jhaveri, Ajay, Nagral, Aabha, Kulkarni, Anand, Sharma, Mithun, Sarin, Shiv K, Goel, Ashish, Eapen, C E, Duseja, Ajay, Gandotra, Akash, Saraya, Anoop, yegurla, Jatin, Jothimani, Dinesh, Rela, Mohammad, Arora, Anil, Kumar, Ashish, Roy, Akash, Dhiman, R K, Anand, A C, Praharaj, Dibyalochan, Cabrera, Araceli Bravo, Hueso, Sarai Gonzalez, Hérnandez, José Luis Pérez, Gutierrez, Oscar Morales, Ramos-Pineda, Abraham, Zazueta, Godolfino Miranda, Barradas, Mauricio Castillo, Made, Lilian Torres, Velazquez, Rene Male, Félix-Tellez, Francisco, Velasco, José Antonio Velarde-Ruiz, Cordova-Gallardo, Jacqueline, Rajaram, Ruveena, Afendi, Nik Arsyad Nik Muhamad, Nyam, David P, Okeke, Edith N, Allam, Dalia, Patwa, Yashwi Haresh Kumar, Tan, Hiang Keat, Lun, Liou Wei, Ho, Wei Ling Danielle, Wong, Yu Jun, Thanapirom, Kessarin, Teerasarntipan, Tongluk, Haktaniyan, Busra, Gunduz, Feyza, Aslan, Rahmi, Yildirim, Abdullah Emre, Barutcu, Sezgin, Uysal, Alper, Karasu, Zeki, Ucbilek, Enver, Kosay, Tolga, Dinçer, Dinç, Adanır, Haydar, Albhaisi, Somaya, Fallahadeh, Mohammad Amin, Asrani, Sumeet, Reddy, K Rajender, Shaw, Jawaid, Vargas, Hugo, Filipek, Natalia, Biggins, Scott W, Thuluvath, Paul, Sheshadri, Somya, Wegermann, Kara, Kappus, Matthew, Keaveny, Andrew, Rojo, Andres, Negrillo, Ricardo Cabello, Verna, Elizabeth, Cao, Zhujun, Wong, Florence, Choudhury, Ashok K, Kamath, Patrick S, Topazian, Mark, Torre, Aldo, Hayes, Peter C, George, Jacob, Idilman, Ramazan, Seto, Wai-Kay, Desalegn, Hailemichael, Alvares-da-Silva, Mario Reis, Bush, Brian J, Thacker, Leroy R, Xie, Qing, and Bajaj, Jasmohan S

Published
2024
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6. Alfosbuvir plus Daclatasvir for Treatment of Chronic Hepatitis C Virus Infection in China

Author

Hua, Rui, Kong, Fei, Li, Guangming, Wen, Xiaofeng, Zhang, Yuexin, Yang, Xingxiang, Meng, Chenxin, Xie, Wen, Jiang, Yongfang, Wang, Xiaozhong, Han, Xueji, Huang, Yan, Mao, Qing, Wang, Jiefei, Guan, Yujuan, Chen, Jiayu, Ma, Yingjie, Xiong, Qingfang, Ma, Hong, Yan, Xuebing, Rao, Huiying, Zhao, Yingren, Sun, Tong, Zhu, Liying, Mao, Xiaorong, Lian, Jianqi, Deng, Guojiong, Xin, Yongning, Wang, Yifei, Ye, Yinong, Xu, Bin, Gao, Hainv, Tan, Youwen, Li, Dongliang, Yang, Dongliang, Su, Minghua, Zhang, Xiaomeng, Min, Jie, Shi, Xinsheng, Wei, Lai, and Niu, Junqi

Published
2023
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8. Novel, high accuracy models for hepatocellular carcinoma prediction based on longitudinal data and cell-free DNA signatures

Author

Fan, Rong, Chen, Lei, Zhao, Siru, Yang, Hao, Li, Zhengmao, Qian, Yunsong, Ma, Hong, Liu, Xiaolong, Wang, Chuanxin, Liang, Xieer, Bai, Jian, Xie, Jianping, Fan, Xiaotang, Xie, Qing, Hao, Xin, Wang, Chunying, Yang, Song, Gao, Yanhang, Bai, Honglian, Dou, Xiaoguang, Liu, Jingfeng, Wu, Lin, Jiang, Guoqing, Xia, Qi, Zheng, Dan, Rao, Huiying, Xia, Jie, Shang, Jia, Gao, Pujun, Xie, Dongying, Yu, Yanlong, Yang, Yongfeng, Gao, Hongbo, Liu, Yali, Sun, Aimin, Jiang, Yongfang, Yu, Yanyan, Niu, Junqi, Sun, Jian, Wang, Hongyang, and Hou, Jinlin

Published
2023
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9. Global disparities in mortality and liver transplantation in hospitalised patients with cirrhosis: a prospective cohort study for the CLEARED Consortium

Author

Sarin, Shiv K, Kumar, Shiva, Marciano, Sebastián, Gadano, Adrián, Tudehope, Fiona, Gibson, Robert, Prudence, Alexander, Doyle, Adam, Si, Hooi Ling, Riordan, Stephen, Farias, Alberto, Zitelli, Patricia, Bera, Chinmay, Faisal, Nabiha, Tandon, Puneeta, Dahiya, Monica, Lohoues, Marie Jeanne, Lah, Ponan Claude Regis, Benítez, Carlos, Arrese, Marco, Xian, Yongchao, Guan, Jin, Zhu, Chuanwu, Wang, Yingling, Su, Minghua, Su, Man, Gao, Yanhang, Wang, Xinrui, Jiang, Yongfang, Peng, Feng, Zhao, Caiyan, Wang, Wei, Wang, Lei, Yin, Dedong, Lu, Mingqin, Cai, Yijing, Zhang, Ningping, Zhang, Wanqin, Li, Hai, Dong, Fuchen, Zheng, Xin, Liu, Jing, Tang, Hong, Yan, Libo, Xu, Bin, Wei, Linlin, Gao, Zhiliang, Xu, Zhen, Lin, Minghua, Gao, Haibin, Chen, Jinjun, Li, Beiling, Liu, Chenghai, Zhang, Yanyun, Hu, Peng, Deng, Huan, Belimi, Hibat Allah, Debzi, Nabil, Fisseha, Henok, Aravinthan, Aloysious D, Venkatachalapathy, Suresh Vasan, Rajoriya, Neil, Faulkes, Rosemary, Leith, Damien, Forrest, Ewan, Adebayo, Danielle, Kennedy, James, Yung, Diana, Seto, Wai-Kay, Fung, James, Katchman, Helena, Rabinowich, Liane, Nagral, Aabha, Jhaveri, Ajay, Kulkarni, Anand, Sharma, Mithun, Eapen, C E, Goel, Ashish, Gandotra, Akash, Duseja, Ajay, Saraya, Anoop, Yegurla, Jatin, Rela, Mohamed, Jothimani, Dinesh, Arora, Anil, Kumar, Ashish, Dhiman, Radha Krishan, Roy, Akash, Anand, Anil C, Praharaj, Dibyalochan, Hueso, Sarai Gonzalez, Cabrera, Araceli Bravo, Pérez Hérnandez, José Luis, Gutierrez, Oscar Morales, Miranda Zazueta, Godolfino, Ramos-Pineda, Abraham, Castillo Barradas, Mauricio, Velazquez, Rene Male, Made, Lilian Torres, Velarde-Ruiz Velasco, José Antonio, Félix-Tellez, Francisco, Cordova-Gallardo, Jacqueline, Rajaram, Ruveena, Nik Muhamad Afendi, Nik Arsyad, Okeke, Edith N, Nyam, David P, Allam, Dalia, Kumar Patwa, Yashwi Haresh, Tan, Hiang Keat, Liou, Wei Lun, Treeprasertsuk, Sombat, Wejnaruemarn, Salisa, Haktaniyan, Busra, Gunduz, Feyza, Aslan, Rahmi, Yildirim, Abdullah Emre, Barutcu, Sezgin, Karasu, Zeki, Uysal, Alper, Ucbilek, Enver, Kosay, Tolga, Adanir, Haydar, Dinçer, Dinç, Albhaisi, Somaya, Asrani, Sumeet, Fallahadeh, Mohammad Amin, Reddy, K Rajender, Rahematpura, Suditi, Shaw, Jawaid, Vargas, Hugo E., Bayne, David, Biggins, Scott W, Filipek, Natalia, Thuluvath, Paul, Sheshadri, Somya, Keaveny, Andrew, Duarte Rojo, Andres, Cabello Negrillo, Ricardo, Bajaj, Jasmohan S, Choudhury, Ashok K, Xie, Qing, Kamath, Patrick S, Topazian, Mark, Hayes, Peter C, Torre, Aldo, Desalegn, Hailemichael, Idilman, Ramazan, Cao, Zhujun, Alvares-da-Silva, Mario R, George, Jacob, Bush, Brian J, Thacker, Leroy R, and Wong, Florence

Published
2023
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15. The value of metagenomic next-generation sequencing with blood samples for the diagnosis of disseminated tuberculosis.

Author

Ma, Jing, Jiang, Yongfang, He, Yan, and Zhou, Huaying

Subjects
EXTRAPULMONARY tuberculosis, NUCLEOTIDE sequencing, CD4 lymphocyte count, MEDICAL records, TUBERCULOSIS, MYCOBACTERIUM tuberculosis
Abstract

Objective: The aim of this study was to assess the clinical value of metagenomic next-generation sequencing (mNGS) of blood samples for the identification of disseminated tuberculosis (DTB). Methods: A total of 48 individuals suspected of DTB were enrolled. All patients underwent mNGS of peripheral blood and conventional microbiological tests. Patient characteristics were collected from their medical records. Results: A total of 28 patients were diagnosed with DTB, whereas 20 patients were confirmed as non-DTB cases. In the DTB groups, 19 (67.9%) contained TB sequences, with specific reads of TB ranging from 1 to 219. The TB sequence was more detectable by mNGS in male patients, those with elevated PCT levels, those who are HIV positive, and those with a decreased CD4 T-cell count. The HIV-positive group shows higher TB mNGS reads (p = 0.012) and TB mNGS sensitivity (p = 0.05). The sensitivity of TB mNGS in blood samples was 80% for HIV-infected patients and 44.4% for non-HIV-infected individuals (p = 0.05). The non-HIV group had a higher prevalence of miliary tuberculosis (p = 0.018), and extrapulmonary tuberculosis was more prevalent in the HIV-positive group. Conclusion: Our research has shown that the mNGS of blood samples has excellent sensitivity for the diagnosis of DTB. The TB sequence was more detectable by mNGS in patients with elevated PCT levels, those who are HIV positive, and those with a decreased CD4 T-cell count. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Cell-free DNA methylation markers for differential diagnosis of hepatocellular carcinoma

Author

Luo, Biyuan, Ma, Fang, Liu, Hao, Hu, Jixiong, Rao, Le, Liu, Chun, Jiang, Yongfang, Kuangzeng, Shuyu, Lin, Xuan, Wang, Chenyang, Lei, Yiyu, Si, Zhongzhou, Chen, Guangshun, Zhou, Ning, Liang, Chengbai, Jiang, Fangqing, Liu, Fenge, Dai, Weidong, Liu, Wei, Gao, Yawen, Li, Zhihong, Li, Xi, Zhou, Guangyu, Li, Bingsi, Zhang, Zhihong, Nian, Weiqi, Luo, Lihua, and Liu, Xianling

Published
2022
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18. FRI-088 Patterns and predictors of postacute discharge location other than home in a global cohort of 3, 678 patients hospitalized with cirrhosis

Author

Seto, Wai-Kay, primary, Xie, Qing, additional, Kumar Choudhury, Ashok, additional, Kamath, Patrick S., additional, Topazian, Mark, additional, Hayes, Peter, additional, Torre, Aldo, additional, Desalegn, Hailemichael, additional, Idilman, Ramazan, additional, Cao, Zhujun, additional, Álvares-da-Silva, Mario, additional, George, Jacob, additional, Wong, Florence, additional, Bush, Brian, additional, Thacker, Leroy, additional, Kumar Sarin, Shiv, additional, Mani, Iliana, additional, Dincer, Dinc, additional, van Doorn, Diederick, additional, Sonavane, Amey, additional, Amin Fallahzadeh, Mohammad, additional, Wei, Linlin, additional, Bravo Cabrera, Araceli, additional, Goel, Ashish, additional, Ponan Claude Regis Lah, Ponan, additional, Kumar, Shiva, additional, Jun Wong, Yu, additional, Jothimani, Dinesh, additional, Robert Kappus, Matthew, additional, Emre Yıldırım, Abdullah, additional, H Forrest, Ewan, additional, Félix Tellez, Francisco, additional, Momoyo Zitelli, Patricia, additional, Barbero, Manuel, additional, Luis Pérez-Hernández, José, additional, Marciano, Sebastián, additional, Malé Velazquez, René, additional, Jhaveri, Ajay, additional, Gibson, Robert, additional, Chandra Anand, Anil, additional, Kayes, Tahrima, additional, Gunduz, Feyza, additional, Bayne, David, additional, Lin, Minghua, additional, Ucbilek, Enver, additional, Debzi, Nabil, additional, Wang, Jian, additional, Haresh Kumar Patwa, Yashwi, additional, Kumar Duseja, Ajay, additional, Arrese, Marco, additional, Faulkes, Rosemary, additional, Kennedy, James, additional, Sung Kim, Yu, additional, Krishan Dhiman, Radha, additional, Li, Hai, additional, Yin, Dedong, additional, Zhang, Yanyun, additional, MacQuillan, Gerry, additional, Kumar, Ashish, additional, Katchman, Helena, additional, Wang, Yingling, additional, Rao, Qunfang, additional, Cai, Yijing, additional, Wu, Liyang, additional, Jiang, Yongfang, additional, Xu, Zhen, additional, Xian, Yongchao, additional, Bettinger, Dominik, additional, Dahiya, Monica, additional, Faisal, Nabiha, additional, Rojo Andres, Duarte, additional, Filipek, Natalia, additional, Tudehope, Fiona, additional, Zhang, Wanqin, additional, and Bajaj, Jasmohan, additional

Published
2024
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22. Efficacy of a combination of HBV RNA and HBeAg in predicting HBeAg seroconversion in patients treated with entecavir for 144 weeks

Author

Wang, Xiaomei, Wang, Zhongfeng, Chi, Xiumei, Wu, Ruihong, Jin, Qinglong, Xu, Hongqin, Gao, Xiuzhu, Yu, Lei, Chen, Yuping, Shang, Jia, Liu, Longgen, Zhang, Shuqin, Jiang, Yongfang, Zhang, Mingxiang, Tong, Qiaoxia, Zhang, Lunli, Tan, Youwen, Ma, Anlin, Dang, Shuangsuo, Xu, Bin, Jin, Zhenjing, Li, Jia, Li, Xiaobo, Lu, Fengmin, and Niu, Junqi

Published
2020
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25. Global prevalence and characteristics of infections and clinical outcomes in hospitalised patients with cirrhosis: a prospective cohort study for the CLEARED Consortium

Author

Cao, Zhujun, Wong, Florence, Choudhury, Ashok K, Kamath, Patrick S, Topazian, Mark, Torre, Aldo, Hayes, Peter C, George, Jacob, Idilman, Ramazan, Seto, Wai-Kay, Desalegn, Hailemichael, Alvares-da-Silva, Mario Reis, Bush, Brian J, Thacker, Leroy R, Xie, Qing, Bajaj, Jasmohan S, Kumar, Shiva, Gadano, Adrián, Marciano, Sebastián, Tudehope, Fiona, Prudence, Alexander, Gibson, Robert, Zekry, Amany, Doyle, Adam, Si, Hooi Ling, Kim, Yu Sung, Gofton, Cameron, Riordan, Stephen, MacQuillan, Gerry, Al-Tamimi, Hala, Michalczuk, Matheus, Farias, Alberto, Zitelli, Patricia, Pereira, Gustavo, Victor, Livia, Bera, Chinmay, Faisal, Nabiha, Dahiya, Monica, Tandon, Puneeta, Lohoues, Marie Jeanne, Lah, Ponan Claude Regis, Benítez, Carlos, Arrese, Marco, Guan, Jing, Xian, Yongchao, Zhu, Chuanwu, Wang, Yingling, Su, Man, Su, Minghua, Wang, Xinrui, Gao, Yanhang, Peng, Feng, Jiang, Yongfang, Zhao, Caiyan, Wang, Wei, Yin, Dedong, Wang, Lei, Lu, Mingqin, Cai, Yijing, Guo, Feng, Wang, Xiaozhong, Zhang, Ningping, Zhang, Wanqin, Dong, Fuchen, Li, Hai, Liu, Jing, Zheng, Xin, Tang, Hong, Yan, Libo, Xu, Bin, Wei, Linlin, Xu, Zhen, Gao, Zhiliang, Gao, Haibing, Lin, Minghua, Rao, Qunfang, Wu, Xiaoping, Li, Beiling, Chen, Jinjun, Liu, Chenghai, Zhang, Yanyun, Deng, Huan, Hu, Peng, Wang, Jian, Li, Jie, Bettinger, Dominik, Schultheiß, Michael, Belimi, Hibat Allah, Debzi, Nabil, Mostafa, Alaa, Fouad, Yasser, Fisseha, Henok, Venkatachalapathy, Suresh Vasan, Aravinthan, Aloysious D, Rajoriya, Neil, Faulkes, Rosemary, Leith, Damien, Forrest, Ewan, Danielle, Adebayo, Kennedy, James, Yung, Diana, Alexopoulou, Alexandra, Mani, Iliana, Fung, James, Katchman, Helena, Rabinowich, Liane, Jhaveri, Ajay, Nagral, Aabha, Kulkarni, Anand, Sharma, Mithun, Sarin, Shiv K, Goel, Ashish, Eapen, C E, Duseja, Ajay, Gandotra, Akash, Saraya, Anoop, yegurla, Jatin, Jothimani, Dinesh, Rela, Mohammad, Arora, Anil, Kumar, Ashish, Roy, Akash, Dhiman, R K, Anand, A C, Praharaj, Dibyalochan, Cabrera, Araceli Bravo, Hueso, Sarai Gonzalez, Hérnandez, José Luis Pérez, Gutierrez, Oscar Morales, Ramos-Pineda, Abraham, Zazueta, Godolfino Miranda, Barradas, Mauricio Castillo, Made, Lilian Torres, Velazquez, Rene Male, Félix-Tellez, Francisco, Velasco, José Antonio Velarde-Ruiz, Cordova-Gallardo, Jacqueline, Rajaram, Ruveena, Afendi, Nik Arsyad Nik Muhamad, Nyam, David P, Okeke, Edith N, Allam, Dalia, Patwa, Yashwi Haresh Kumar, Tan, Hiang Keat, Lun, Liou Wei, Ho, Wei Ling Danielle, Wong, Yu Jun, Thanapirom, Kessarin, Teerasarntipan, Tongluk, Haktaniyan, Busra, Gunduz, Feyza, Aslan, Rahmi, Yildirim, Abdullah Emre, Barutcu, Sezgin, Uysal, Alper, Karasu, Zeki, Ucbilek, Enver, Kosay, Tolga, Dinçer, Dinç, Adanır, Haydar, Albhaisi, Somaya, Fallahadeh, Mohammad Amin, Asrani, Sumeet, Reddy, K Rajender, Shaw, Jawaid, Vargas, Hugo, Filipek, Natalia, Biggins, Scott W, Thuluvath, Paul, Sheshadri, Somya, Wegermann, Kara, Kappus, Matthew, Keaveny, Andrew, Rojo, Andres, Negrillo, Ricardo Cabello, and Verna, Elizabeth

Abstract

Infections have a poor prognosis in inpatients with cirrhosis. We aimed to determine regional variations in infections and their association with clinical outcomes in a global cohort of inpatients with cirrhosis.

Published
2024
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31. Novel, high accuracy prediction models of hepatocellular carcinoma based on longitudinal data and cell-free DNA signatures

Author

Fan, Rong, primary, Chen, Lei, additional, Yang, Hao, additional, Zhao, Siru, additional, Li, Zhengmao, additional, Qian, Yunsong, additional, Ma, Hong, additional, Liu, Jingfeng, additional, Niu, Junqi, additional, Wang, Chuanxin, additional, Bai, Jian, additional, Xie, Jianping, additional, Fan, Xiaotang, additional, Xie, Qing, additional, Wang, Chunying, additional, Yang, Song, additional, Bai, Honglian, additional, Dou, Xiaoguang, additional, Wu, Lin, additional, Jiang, Guoqing, additional, Xia, Qi, additional, Zheng, Dan, additional, Rao, Huiying, additional, Xia, Jie, additional, Shang, Jia, additional, Gao, Pujun, additional, Xie, Dong-Ying, additional, Yu, Yanlong, additional, Yang, Yongfeng, additional, Gao, Hongbo, additional, Liu, Yali, additional, Sun, Aimin, additional, Jiang, Yongfang, additional, Yu, Yan-Yan, additional, Sun, Jian, additional, Wang, Hong-Yang, additional, and Hou, Jinlin, additional

Published
2023
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32. Nosocomial infections in cirrhosis are unpredictable and vary based on region of the world: CLEARED study

Author

Bajaj, Jasmohan S, primary, Wong, Florence, additional, Xie, Qing, additional, Kamath, Patrick S., additional, Topazian, Mark, additional, Sarin, Shiv Kumar, additional, Kumar, Shiva, additional, Marciano, Sebastián, additional, Tudehope, Fiona, additional, Gibson, Robert, additional, Doyle, Adam, additional, Riordan, Stephen, additional, Farias, Alberto Queiroz, additional, Faisal, Nabiha, additional, Tandon, Puneeta, additional, Lohoues, Marie Jeanne, additional, Benitez, Carlos, additional, Xian, Yongchao, additional, Zhu, Chuanwu, additional, Su, Minghua, additional, Jiang, Yongfang, additional, Zhao, Caiyan, additional, Wang, Lei, additional, Lu, Mingqin, additional, Zhang, Ning-Ping, additional, Li, Hai, additional, Zheng, Xin, additional, Tang, Hong, additional, Xu, Bin, additional, gao, zhiliang, additional, Lin, minghua, additional, Chen, Jinjun, additional, Liu, ChengHai, additional, Hu, Peng, additional, Allah, Belimi Hibat, additional, Fisseha, Henok, additional, Aravinthan, Aloysious, additional, Rajoriya, Neil, additional, Leith, Damien, additional, Adebayo, Danielle, additional, Yung, Diana, additional, Seto, Wai-Kay, additional, Katchman, Helena, additional, Nagral, Abha, additional, Kulkarni, Anand, additional, Eapen, CE, additional, Duseja, Ajay Kumar, additional, Saraya, Anoop, additional, Rela, Mohd., additional, Anora, Anil, additional, Dhiman, Radha Krishan, additional, Anand, Anil Chandra, additional, González-Huezo, Maria Sarai, additional, Perez Hernandez, Jose Luis, additional, Zazueta, Godolfino Miranda, additional, Castillo, Mauricio, additional, Velazquez, René Malé, additional, Velarde-Ruiz Velasco, Jose Antonio, additional, Cordova, Jacqueline, additional, Bhavani, Ruveena, additional, Okeke, Edith, additional, Allam, Dalia, additional, Tan, Hiang Keat, additional, Treeprasertsuk, Sombat, additional, Haktaniyan, Busra, additional, Gunduz, Feyza, additional, Yıldırım, Abdullah Emre, additional, Karasu, Zeki, additional, Ucbilek, Enver, additional, Adanir, Haydar, additional, Albhaisi, Somaya, additional, Asrani, Sumeet, additional, Reddy, K. Rajender, additional, Shaw, Jawaid, additional, Vargas, Hugo, additional, Biggins, Scott, additional, Thuluvath, Paul J., additional, Keaveny, Andrew, additional, Hayes, Peter, additional, Torre, Aldo, additional, Idilman, Ramazan, additional, Cao, Zhujun, additional, Álvares-da-Silva, Mario, additional, George, Jacob, additional, Desalegn, Hailemichael, additional, Bush, Brian, additional, Thacker, Leroy, additional, Andres, Duarte Rojo, additional, and Choudhury, Ashok, additional

Published
2023
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33. Alfosbuvir plus Daclatasvir for Treatment of Chronic Hepatitis C Virus Infection in China

Author

Hua, Rui, primary, Kong, Fei, additional, Li, Guangming, additional, Wen, Xiaofeng, additional, Zhang, Yuexin, additional, Yang, Xingxiang, additional, Meng, Chenxin, additional, Xie, Wen, additional, Jiang, Yongfang, additional, Wang, Xiaozhong, additional, Han, Xueji, additional, Huang, Yan, additional, Mao, Qing, additional, Wang, Jiefei, additional, Guan, Yujuan, additional, Chen, Jiayu, additional, Ma, Yingjie, additional, Xiong, Qingfang, additional, Ma, Hong, additional, Yan, Xuebing, additional, Rao, Huiying, additional, Zhao, Yingren, additional, Sun, Tong, additional, Zhu, Liying, additional, Mao, Xiaorong, additional, Lian, Jianqi, additional, Deng, Guojiong, additional, Xin, Yongning, additional, Wang, Yifei, additional, Ye, Yinong, additional, Xu, Bin, additional, Gao, Hainv, additional, Tan, Youwen, additional, Li, Dongliang, additional, Yang, Dongliang, additional, Su, Minghua, additional, Zhang, Xiaomeng, additional, Min, Jie, additional, Shi, Xinsheng, additional, Wei, Lai, additional, and Niu, Junqi, additional

Published
2023
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34. Global disparities in mortality and liver transplantation in hospitalised patients with cirrhosis: a prospective cohort study for the CLEARED Consortium

Author

Bajaj, Jasmohan S, primary, Choudhury, Ashok K, additional, Xie, Qing, additional, Kamath, Patrick S, additional, Topazian, Mark, additional, Hayes, Peter C, additional, Torre, Aldo, additional, Desalegn, Hailemichael, additional, Idilman, Ramazan, additional, Cao, Zhujun, additional, Alvares-da-Silva, Mario R, additional, George, Jacob, additional, Bush, Brian J, additional, Thacker, Leroy R, additional, Wong, Florence, additional, Sarin, Shiv K, additional, Kumar, Shiva, additional, Marciano, Sebastián, additional, Gadano, Adrián, additional, Tudehope, Fiona, additional, Gibson, Robert, additional, Prudence, Alexander, additional, Doyle, Adam, additional, Si, Hooi Ling, additional, Riordan, Stephen, additional, Farias, Alberto, additional, Zitelli, Patricia, additional, Bera, Chinmay, additional, Faisal, Nabiha, additional, Tandon, Puneeta, additional, Dahiya, Monica, additional, Lohoues, Marie Jeanne, additional, Lah, Ponan Claude Regis, additional, Benítez, Carlos, additional, Arrese, Marco, additional, Xian, Yongchao, additional, Guan, Jin, additional, Zhu, Chuanwu, additional, Wang, Yingling, additional, Su, Minghua, additional, Su, Man, additional, Gao, Yanhang, additional, Wang, Xinrui, additional, Jiang, Yongfang, additional, Peng, Feng, additional, Zhao, Caiyan, additional, Wang, Wei, additional, Wang, Lei, additional, Yin, Dedong, additional, Lu, Mingqin, additional, Cai, Yijing, additional, Zhang, Ningping, additional, Zhang, Wanqin, additional, Li, Hai, additional, Dong, Fuchen, additional, Zheng, Xin, additional, Liu, Jing, additional, Tang, Hong, additional, Yan, Libo, additional, Xu, Bin, additional, Wei, Linlin, additional, Gao, Zhiliang, additional, Xu, Zhen, additional, Lin, Minghua, additional, Gao, Haibin, additional, Chen, Jinjun, additional, Li, Beiling, additional, Liu, Chenghai, additional, Zhang, Yanyun, additional, Hu, Peng, additional, Deng, Huan, additional, Belimi, Hibat Allah, additional, Debzi, Nabil, additional, Fisseha, Henok, additional, Aravinthan, Aloysious D, additional, Venkatachalapathy, Suresh Vasan, additional, Rajoriya, Neil, additional, Faulkes, Rosemary, additional, Leith, Damien, additional, Forrest, Ewan, additional, Adebayo, Danielle, additional, Kennedy, James, additional, Yung, Diana, additional, Seto, Wai-Kay, additional, Fung, James, additional, Katchman, Helena, additional, Rabinowich, Liane, additional, Nagral, Aabha, additional, Jhaveri, Ajay, additional, Kulkarni, Anand, additional, Sharma, Mithun, additional, Eapen, C E, additional, Goel, Ashish, additional, Gandotra, Akash, additional, Duseja, Ajay, additional, Saraya, Anoop, additional, Yegurla, Jatin, additional, Rela, Mohamed, additional, Jothimani, Dinesh, additional, Arora, Anil, additional, Kumar, Ashish, additional, Dhiman, Radha Krishan, additional, Roy, Akash, additional, Anand, Anil C, additional, Praharaj, Dibyalochan, additional, Hueso, Sarai Gonzalez, additional, Cabrera, Araceli Bravo, additional, Pérez Hérnandez, José Luis, additional, Gutierrez, Oscar Morales, additional, Miranda Zazueta, Godolfino, additional, Ramos-Pineda, Abraham, additional, Castillo Barradas, Mauricio, additional, Velazquez, Rene Male, additional, Made, Lilian Torres, additional, Velarde-Ruiz Velasco, José Antonio, additional, Félix-Tellez, Francisco, additional, Cordova-Gallardo, Jacqueline, additional, Rajaram, Ruveena, additional, Nik Muhamad Afendi, Nik Arsyad, additional, Okeke, Edith N, additional, Nyam, David P, additional, Allam, Dalia, additional, Kumar Patwa, Yashwi Haresh, additional, Tan, Hiang Keat, additional, Liou, Wei Lun, additional, Treeprasertsuk, Sombat, additional, Wejnaruemarn, Salisa, additional, Haktaniyan, Busra, additional, Gunduz, Feyza, additional, Aslan, Rahmi, additional, Yildirim, Abdullah Emre, additional, Barutcu, Sezgin, additional, Karasu, Zeki, additional, Uysal, Alper, additional, Ucbilek, Enver, additional, Kosay, Tolga, additional, Adanir, Haydar, additional, Dinçer, Dinç, additional, Albhaisi, Somaya, additional, Asrani, Sumeet, additional, Fallahadeh, Mohammad Amin, additional, Reddy, K Rajender, additional, Rahematpura, Suditi, additional, Shaw, Jawaid, additional, Vargas, Hugo E., additional, Bayne, David, additional, Biggins, Scott W, additional, Filipek, Natalia, additional, Thuluvath, Paul, additional, Sheshadri, Somya, additional, Keaveny, Andrew, additional, Duarte Rojo, Andres, additional, and Cabello Negrillo, Ricardo, additional

Published
2023
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35. OS-033 - Novel, high accuracy prediction models of hepatocellular carcinoma based on longitudinal data and cell-free DNA signatures

Author

Fan, Rong, Chen, Lei, Yang, Hao, Zhao, Siru, Li, Zhengmao, Qian, Yunsong, Ma, Hong, Liu, Jingfeng, Niu, Junqi, Wang, Chuanxin, Bai, Jian, Xie, Jianping, Fan, Xiaotang, Xie, Qing, Wang, Chunying, Yang, Song, Bai, Honglian, Dou, Xiaoguang, Wu, Lin, Jiang, Guoqing, Xia, Qi, Zheng, Dan, Rao, Huiying, Xia, Jie, Shang, Jia, Gao, Pujun, Xie, Dong-Ying, Yu, Yanlong, Yang, Yongfeng, Gao, Hongbo, Liu, Yali, Sun, Aimin, Jiang, Yongfang, Yu, Yan-Yan, Sun, Jian, Wang, Hong-Yang, and Hou, Jinlin

Published
2023
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38. High accuracy model for HBsAg loss based on longitudinal trajectories of serum qHBsAg throughout long-term antiviral therapy

Author

Fan, Rong, Zhao, Siru, Niu, Junqi, Ma, Hong, Xie, Qing, Yang, Song, Xie, Jianping, Dou, Xiaoguang, Shang, Jia, Rao, Huiying, Xia, Qi, Liu, Yali, Yang, Yongfeng, Gao, Hongbo, Sun, Aimin, Liang, Xieer, Yin, Xueru, Jiang, Yongfang, Yu, Yanyan, Sun, Jian, Naoumov, Nikolai V, and Hou, Jinlin

Abstract

ObjectiveHepatitis B surface antigen (HBsAg) loss is the optimal outcome for patients with chronic hepatitis B (CHB) but this rarely occurs with currently approved therapies. We aimed to develop and validate a prognostic model for HBsAg loss on treatment using longitudinal data from a large, prospectively followed, nationwide cohort.DesignCHB patients receiving nucleos(t)ide analogues as antiviral treatment were enrolled from 50 centres in China. Quantitative HBsAg (qHBsAg) testing was prospectively performed biannually per protocol. Longitudinal discriminant analysis algorithm was used to estimate the incidence of HBsAg loss, by integrating clinical data of each patient collected during follow-up.ResultsIn total, 6792 CHB patients who had initiated antiviral treatment 41.3 (IQR 7.6–107.6) months before enrolment and had median qHBsAg 2.9 (IQR 2.3–3.3) log10IU/mL at entry were analysed. With a median follow-up of 65.6 (IQR 51.5–84.7) months, the 5-year cumulative incidence of HBsAg loss was 2.4%. A prediction model integrating all qHBsAg values of each patient during follow-up, designated GOLDEN model, was developed and validated. The AUCs of GOLDEN model were 0.981 (95% CI 0.974 to 0.987) and 0.979 (95% CI 0.974 to 0.983) in the training and external validation sets, respectively, and were significantly better than those of a single qHBsAg measurement. GOLDEN model identified 8.5%–10.4% of patients with a high probability of HBsAg loss (5-year cumulative incidence: 17.0%–29.1%) and was able to exclude 89.6%–91.5% of patients whose incidence of HBsAg loss is 0. Moreover, the GOLDEN model consistently showed excellent performance among various subgroups.ConclusionThe novel GOLDEN model, based on longitudinal qHBsAg data, accurately predicts HBsAg clearance, provides reliable estimates of functional hepatitis B virus (HBV) cure and may have the potential to stratify different subsets of patients for novel anti-HBV therapies.

Published
2024
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40. Competitive evolved sub‐clonal BCR::ABL1 and novel MSI2:: PC fusion genes in myelodysplastic syndrome with isolated del(5q)

Author

Zhang, Yanqing, primary, Liu, Yang, additional, Wang, Tong, additional, Wang, Hui, additional, Chen, Xue, additional, Cao, Panxiang, additional, Ma, Xiaoli, additional, Liu, Mingyue, additional, Xu, Ping, additional, Bi, Hailiang, additional, Pan, Jiaqi, additional, Jiang, Yongfang, additional, Li, Xiaoyun, additional, Wang, Wei, additional, and Liu, Hongxing, additional

Published
2022
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41. Functional cure based on pegylated interferon alpha therapy in nucleoside analog-suppressed HBeAg negative chronic hepatitis B: a multicenter real-world study (Everest Project in China)-3.5 years data update

Author

Xie, Chan, primary, Xie, Dongying, additional, Fu, Lei, additional, Zhang, Wen-hua, additional, Wei, Jia, additional, Li, Guojun, additional, Yang, Jiahong, additional, Chen, Xinyue, additional, Li, Jia-bin, additional, Shang, Jia, additional, Guan, Yu-juan, additional, Jiang, Yongfang, additional, Guo, Ying, additional, Zeng, Yi-lan, additional, Chang, Jiabao, additional, Peng, Yanzhong, additional, Lin, Minghua, additional, Huang, Guangyu, additional, Li, Jia, additional, Gu, Shengwang, additional, Geng, Jia-wei, additional, and Gao, Zhiliang, additional

Published
2022
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42. Additional file 1 of Cell-free DNA methylation markers for differential diagnosis of hepatocellular carcinoma

Author

Luo, Biyuan, Ma, Fang, Liu, Hao, Hu, Jixiong, Rao, Le, Liu, Chun, Jiang, Yongfang, Kuangzeng, Shuyu, Lin, Xuan, Wang, Chenyang, Lei, Yiyu, Si, Zhongzhou, Chen, Guangshun, Zhou, Ning, Liang, Chengbai, Jiang, Fangqing, Liu, Fenge, Dai, Weidong, Liu, Wei, Gao, Yawen, Li, Zhihong, Li, Xi, Zhou, Guangyu, Li, Bingsi, Zhang, Zhihong, Nian, Weiqi, Luo, Lihua, and Liu, Xianling

Abstract

Additional file 1: Table S1. Table S1. 2,321 differentially methylated markers were selected in model construction.

Published
2022
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43. Additional file 3 of Cell-free DNA methylation markers for differential diagnosis of hepatocellular carcinoma

Author

Luo, Biyuan, Ma, Fang, Liu, Hao, Hu, Jixiong, Rao, Le, Liu, Chun, Jiang, Yongfang, Kuangzeng, Shuyu, Lin, Xuan, Wang, Chenyang, Lei, Yiyu, Si, Zhongzhou, Chen, Guangshun, Zhou, Ning, Liang, Chengbai, Jiang, Fangqing, Liu, Fenge, Dai, Weidong, Liu, Wei, Gao, Yawen, Li, Zhihong, Li, Xi, Zhou, Guangyu, Li, Bingsi, Zhang, Zhihong, Nian, Weiqi, Luo, Lihua, and Liu, Xianling

Abstract

Additional file 3: Figures S1-S11. Fig. S1 The input DNA amount health, benign, and tumor tissue samples in sequencing analysis. Fig. S2 cfDNA methylation analysis of HCC diagnosis. Fig. S3 GO and KEGG pathway analysis of benign and cancer signals. Fig. S4 Unsupervised hierarchical clustering of tissue-derived 2321 methylation markers selected for HCC diagnosis in the tissue samples and plasma samples. Fig. S5 The specificity and sensitivity of MH model distinguishing tumor from healthy individuals in the training and the validation cohort. Fig. S6 The specificity and sensitivity of BH model distinguishing tumor from healthy individuals in the training and the validation cohort. Fig. S7 The comparison of non-tissue tissue-specific markers and tissue-specific markers in BH model contribution. Fig. S8 The specificity and sensitivity of MB model distinguishing tumor from healthy individuals in the training and the validation cohort. Fig. S9 The ROC of the HCC screening model (malignant score) for HCC diagnosis in the training and the validation cohort. Fig. S10 The correlation of malignant score and benign score with cause of cirrhosis (HCV or non-HCV). Fig. S11 Clinical characteristics of misclassified cirrhotic samples.

Published
2022
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44. Additional file 2 of Cell-free DNA methylation markers for differential diagnosis of hepatocellular carcinoma

Author

Luo, Biyuan, Ma, Fang, Liu, Hao, Hu, Jixiong, Rao, Le, Liu, Chun, Jiang, Yongfang, Kuangzeng, Shuyu, Lin, Xuan, Wang, Chenyang, Lei, Yiyu, Si, Zhongzhou, Chen, Guangshun, Zhou, Ning, Liang, Chengbai, Jiang, Fangqing, Liu, Fenge, Dai, Weidong, Liu, Wei, Gao, Yawen, Li, Zhihong, Li, Xi, Zhou, Guangyu, Li, Bingsi, Zhang, Zhihong, Nian, Weiqi, Luo, Lihua, and Liu, Xianling

Abstract

Additional file 2: Table S2. Table S2. Performance of tissue-derived markers in tissue-samples.

Published
2022
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46. hMSCs-derived exosome circCDK13 inhibits liver fibrosis by regulating the expression of MFGE8 through miR-17-5p/KAT2B.

Author

Ma, Jing, Li, Yi, Chen, Mengxuan, Wang, Weihang, Zhao, Qiqian, He, Bo, Zhang, Min, and Jiang, Yongfang

Subjects
HEPATIC fibrosis, MESENCHYMAL stem cells, EXOSOMES
Abstract

Objective: To investigate the effects of human bone marrow mesenchymal stem cells (hMSCs)-derived exosome circCDK13 on liver fibrosis and its mechanism. Methods: Exosomes derived from hMSCs were extracted and identified by flow cytometry and osteogenic and adipogenic induction, and the expressions of marker proteins on the surface of exosomes were detected by western blot. Cell proliferation was measured by CCK8 assay, the expression of active markers of HSCs by immunofluorescence, and the expressions of fibrosis-related factors by western blot. A mouse model of liver fibrosis was established by intraperitoneal injection of thioacetamide (TAA). Fibrosis was detected by HE staining, Masson staining, and Sirius red staining. Western blot was utilized to test the expressions of PI3K/AKT and NF-κB pathway related proteins, dual-luciferase reporter assay and RIP assay to validate the binding between circCDK13 and miR-17-5p as well as between miR-17-5p and KAT2B, and ChIP to validate the effect of KAT2B on H3 acetylation and MFGE8 transcription. Results: hMSCs-derived exosomes inhibited liver fibrosis mainly through circCDK13. Dual-luciferase reporter assay and RIP assay demonstrated the binding between circCDK13 and miR-17-5p as well as between miR-17-5p and KAT2B. Further experimental results indicated that circCDK13 mediated liver fibrosis by regulating the miR-17-5p/KAT2B axis, and KAT2B promoted MFGE8 transcription by H3 acetylation. Exo-circCDK13 inhibited PI3K/AKT and NF-κB signaling pathways activation through regulating the miR-17-5p/KAT2B axis. Conclusion: hMSCs-derived exosome circCDK13 inhibited liver fibrosis by regulating the expression of MFGE8 through miR-17-5p/KAT2B axis. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Efficacy and safety of alfosbuvir plus daclatasvir in Chinese patients with hepatitis C virus genotypes 1, 2, 3, and 6 infection – an open‐label, phase 2 study

Author

Hua, Rui, primary, Kong, Fei, additional, Wen, Xiaofeng, additional, Xiong, Qingfang, additional, Chen, Jiayu, additional, Meng, Chenxin, additional, Ma, Hong, additional, Tan, Youwen, additional, Huang, Yan, additional, Jiang, Yongfang, additional, Guan, Yujuan, additional, Mao, Xiaorong, additional, Wang, Jiefei, additional, Xin, Yongning, additional, Gao, Hainv, additional, Xu, Bin, additional, Li, Cheng, additional, Wu, Qiong, additional, Zhang, Xian, additional, Wang, Zhiqiang, additional, Zhao, Liwen, additional, Zhang, Yuexin, additional, Li, Guangming, additional, and Niu, Junqi, additional

Published
2022
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50. Competitive evolved sub‐clonal BCR::ABL1 and novel MSI2::PC fusion genes in myelodysplastic syndrome with isolated del(5q).

Author

Zhang, Yanqing, Liu, Yang, Wang, Tong, Wang, Hui, Chen, Xue, Cao, Panxiang, Ma, Xiaoli, Liu, Mingyue, Xu, Ping, Bi, Hailiang, Pan, Jiaqi, Jiang, Yongfang, Li, Xiaoyun, Wang, Wei, and Liu, Hongxing

Subjects
GENE fusion, MYELODYSPLASTIC syndromes, REVERSE transcriptase polymerase chain reaction
Abstract

Myelodysplastic syndrome (MDS) represents a group of neoplasms with extensive heterogeneity. Recurrent mutations in dozens of driver genes have been identified in over 90% of MDS cases, although fusion genes are rarely seen. We first report the competitive evolved sub‐clonal breakpoint cluster region (BCR)::ABL1 and novel MSI2::PC fusion gene in MDS with del(5q) in initial diagnosis that underwent dismal progression. However, the BCR::ABL1 clone vanished while the MSI2::PC clone rose to the major one with disease progression. A novel MSI2::PC fusion transcript was identified in initial diagnosis and disease progression of the patient through transcriptome sequencing (RNA‐seq) and Quantitative reverse transcription polymerase Chain Reaction (PCR) showed MSI2::PC/ABL1 expression at initial diagnosis and disease progression. In addition, mutation screening of 300 leukemia driver genes identified ARID2 c.5046del/p.F1682Lfs*19 and ZNF292 c.4565A > G/p.Q1522R mutation in bone marrow sample at initial diagnosis and disease progression. In conclusion, the dynamic process of the two fusion and phenotype manifestations may help to understand further the molecular significance of the anomalies of BCR::ABL1, MSI2, and PC in oncogenesis. [ABSTRACT FROM AUTHOR]

Published
2023
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