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9. The third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): an international, stepped wedge cluster randomised controlled trial

Author

Robinson, Thompson, Miranda, J. Jaime, Anderson, Craig S., You, Chao, Song, Lili, Parry-Jones, Adrian, Sprigg, Nikola, Durrans, Sophie, Harris, Caroline, Bamford, Ann, Smith, Olivia, Herbert, Robert, Chen, Christopher, Whiteley, William, Hu, Rong, Billot, Laurent, Li, Qiang, Mysore, Jayanthi, Hu, Xin, Zhang, Yao, Liu, Feifeng, Sakamoto, Yuki, You, Shoujiang, Han, Qiao, Crutzen, Bernard, Li, Yunke, Cheung, Emily, Jan, Stephen, Liu, Hueiming, Ouyang, Menglu, Sun, Lingli, Chu, Honglin, Anjum, Anila, Gonzalez Mc Cawley, Francisca, Del Rio, Alejandra, Rimoli, Bruna, Cerantola, Rodrigo, Jeevarajah, Thanushanthan, Kannangara, Madhushani, Joseph, Andrene, Nanayakkara, Chamath, Chen, Xiaoying, Malavera, Alejandra, Zhang, Chunmiao, Yang, Zhao, Li, Brook, Meng, Zhuo, Liu, Leibo, Ning, Yi, Dong, Le, Armenis, Manuela, Lim, Joyce, Monaghan, Helen, Ma, Lu, Li, Xi, Luo, Rui, Cheng, Guojuan, Dong, Yilin, Liu, Ziqin, Wang, Shuihong, Zhang, Ying, Cheng, Jipeng, Shi, Hui, Li, Wenjing, Mou, Langming, Yi, Ping, Chen, Chen, Chen, Xue, Weerawardena, Shalomi, Ellawala, Poornima, Ranasinghe, Enalee, Rodrigo, Chrishmi, Wahab, Kolawala, Adeniyi, Sunday, Pandian, Jeyaraj, Khanna, Megha, Muñoz Venturelli, Paula, González, Francisca, Urrutia Goldsack, Francisca, Wasay, Mohammad, Begum, Dilshad, Pontes-Neto, Octavio, Camilo, Millene, Dias, Francisco, Vincenzi, Octavio, Moro, Carla, Santos, Renata, Texeira, Nara, Longo, Alexandre, Liberato, Rafaela, Martins, Sheila, Pille, Arthur, Chwal, Bruna, Silva, Isabel, Titton, Natacha, Weiss, Gustavo, Mora, Daissy, Ouriques, Magda, Carbonera, Leonardo, Bazan, Rodrigo, Modolo, Gabriel, Winckler, Fernanda, Miranda, Luana, Souza, Juli, Rojo, Alexis, Uslar, Wilhelm, Medel, Lorena, Lopez, Javiera, Herrero, Diego, Lavados, Pablo, Vargas Latorre, Barbara, Conejan, Nathalie, Esparza, Tomas, Sotomayor, Patricio, Wenger, Denisse, Gigoux, Juan Pablo, Letelier, Aldo, Acevedo, Lilian, Moya, Vivianne, Figueroa, Cristian, Vallejos, Nicol, Guerrero, Rodrigo, Velasquez, Mauricio, Vallejos, Jose, Pallauta, Kimerly, Santibanez, Tamara, Queirolo, Angelo, Lobos, Andrea, Jiang, Yongming, Li, Weimin, Huang, Wei, Luo, Ke, Liu, Gangying, Tang, Guanghai, Yang, Guang, Jiang, Hongtao, Zhang, Xu, Jing, Hongyan, Zhu, Sheng, Pu, Bo, Lv, Dong, Kang, Hui, Hu, Qiuping, She, Xiaochun, Jiang, Xiaoming, Chen, Yanli, Yang, Shenghua, He, Jianjun, Li, Zongping, Cheng, Gang, Huang, Hailin, Wang, Xiaoyi, Lin, Jianqiong, Chen, Minhui, Yang, Chenghao, Ding, Hao, Deng, Yunliang, Luo, Fei, Zhang, Rongjun, Wang, Xiaofeng, Zhang, Hongbing, Yang, Xiaoliang, Zhang, Yang, Yang, Chengyi, He, Yu, Liu, Feng, Wang, Rongjie, Zhang, Yuhui, Xin, Xiaodong, Feng, Bin, Hao, Wanru, Song, Chang, Guo, Yun, Jiang, Dehua, Chen, Jie, Tang, Changtong, Zhu, Hongliang, Li, Xin, Cui, Jin, Xu, Haidong, Li, Boyang, Tang, Fusheng, Li, Yuanbin, Gao, Min, Yang, Bo, Xu, Xuejun, Deng, Bing, Zheng, Yi, Ge, Yuanhong, Chen, Keyu, Liu, Yang, Li, Xinshen, Zhong, Tingting, Xu, Jianfeng, Zhang, Hai, Wang, Jiyue, Zhu, Jianxin, Sun, Hanyu, Yu, Fuhua, Zhang, Xueguang, Xu, Jianguo, Zhang, Mingsen, Wang, Bin, Ma, Yiming, Jiang, Donglin, Zhou, Jun, Liu, Cong, Nie, Wenhong, Li, Mingguo, Tian, Tao, Li, Yong, He, Mingfang, Tu, Xiaolong, Wu, Zhengjun, Liu, Hong, Zhong, Dongsheng, Jiang, Rongcai, Sun, Jian, Tian, Ye, Wei, Yingsheng, An, Shuo, Wei, Pingbo, Luo, Le, Lin, Bin, Liu, Gang, Wen, Yan, Cai, Qiang, Chen, Qianxue, Lei, Pan, Li, Zhiyang, Zhang, Meifang, He, Jiaquan, Chen, Yan, Liu, Jun, Liu, Xinghai, Li, Junyan, Chen, Min, Wang, Jing, Zhou, Bingzhi, Ye, Baichun, Zhang, Jiancheng, Zhang, Manyuan, Pan, Xuming, Yu, Xiaoxiang, Xu, Jian, Xiao, Qingbao, Wang, Yuefei, Tao, Liang, Shi, Lin, Zheng, Niandong, You, Guoliang, Lei, Bo, Chen, Shu, Wu, Honggang, Hu, Jin, Zhao, Jianlan, Yu, Jian, Yuan, Qiang, Du, Zhuoying, Tang, Xielin, Li, Qianke, Liu, Shenghua, Yang, Feilong, Xiao, Kui, Luo, Chao, Wang, Guang, Che, Xudong, Teng, Zhipeng, Wan, Wenwu, Li, Jun, Liu, Yu, Fan, Mingbo, Zhang, Tao, Cai, Lun, Ma, Yuan, Ma, Zhifeng, Li, Bin, He, Linlin, Li, Jinghui, Zhang, Weibing, Zhang, Shuxin, Zhang, Hongzhen, Dai, Yingguang, Lei, Jun, Mao, Lei, Huang, Yiyang, Zhou, Zhi, Chen, Ping, Chen, Fang, Wei, Pan, Li, Tiangui, Chen, Honglin, Zeng, Mengfei, Mou, Kejie, Xue, Jun, Jiang, Yong, Tang, Xiaoping, Chen, Tao, Zhang, Yalan, Xu, Yanbing, Gu, Yuchen, Chen, Lei, Zhao, Yujun, Yang, Bin, Kuai, Peng, Wang, Xi, Yang, Yuwang, Hu, Xueling, Zhang, Huitian, Yang, Yintao, Wang, Weifeng, Zhang, Junyi, Cheng, Wei, Zhang, Xiaoxue, Ma, Xiaowen, He, Qin, Zhang, Li, Gao, Rong, Liu, Huixiang, Ye, Jingwei, Xu, Ping, Wu, Xin, Yuan, Yuan, Zou, Peng, Zhang, Zhen, Cheng, Jiyong, Zhou, Zhangming, Zeng, Yijun, Liang, Zhang, Du, Deming, Yu, Shui, Cao, Yongjun, Xu, Jiaping, Huang, Zhichao, Chen, Dongqin, Xiao, Wenfeng, Zhu, Li, Yuan, Miao, Wang, Yuhai, Shi, Dongliang, Hu, Xu, Xiang, Dingchao, Shi, Like, Wang, Hongqin, Yang, Liu, Miao, Wang, Hu, Yiyi, Zhao, Yuchun, Hu, Xi, Zhou, Weiduo, Sun, Chao, Tang, Dong, Yao, Kun, You, Jin, Chen, Shishi, Yao, Jianmin, Li, Huanmei, Liu, Jinmei, Bai, Ailin, Yi, Yong, Deng, Qingshan, Luo, Peng, Wang, Han, Jiang, Jingcheng, Yang, Qingwei, He, Shunpo, Wang, Jun, Chen, Yu, He, Hua, Deng, Yuyang, Cao, Zhikai, Yi, Xuxia, Luo, Jinbiao, Luo, Shuang, Gong, Min, Liu, Li, Gao, Xuejun, Liu, Jia, Wu, Li'e, Zhang, Jia, Sun, Hongying, Li, Xinhui, Jia, Lu, Wu, Jianbing, Zhang, Jie, Zhang, Huajun, Du, Chunfu, Li, Shun, Yang, Xiaobin, He, Jie, Liao, Lei, Zhou, Gezhi, Dong, Wentao, Chen, Yunxiang, Lin, Xiaofeng, Shui, Xujian, Zhang, Peng, Zhao, Yuan, Yang, Hongli, Zhao, Wenbin, Zhang, Xiaoyi, Chen, Jincao, Wu, Qian, Dai, Xuan, Tang, Baogui, Wang, Yinjuan, Liu, Tao, Zhang, Haixia, Duan, Faliang, Luo, Ming, Jiao, Qingfang, Lei, Guoliang, Wang, Dong, Song, Chunwang, Tan, Haopeng, Ye, Feng, Qin, Xinghu, Liang, Xiaolong, Liu, Junling, Yang, Lang, Yang, Jie, Lin, Yapeng, Yang, Qian, Ma, Xuntai, Qi, Yinkuang, Pan, Baogen, Jiang, Caixia, Ye, Zhanying, Dong, Ce, Yue, Xiongfei, Yang, Xiaopeng, Maimaitiyiming, Tuoheti, Dong, Jun, Wu, Yonggang, Gao, Feng, Zhao, Deqiang, Zhang, Xinghai, Wang, PengJun, Jiang, Hongbo, Li, Jianping, Zhang, Wei, Chen, Jing, Tong, Haibo, Wang, Yonghong, Qiao, Kaipeng, Guo, Fuyou, Zhang, Mingchu, Hu, Yan, Feng, Mengzhao, Song, Dengpan, Zuo, Yi, Chen, Shangjun, Qian, Chao, Li, Baoming, Ma, Jingku, Zhang, Sunfu, Kong, Bin, Dong, Xingyu, Fang, Sheng, Lu, Bin, Li, Yang, Yang, Yongling, Yu, Hong, Sun, Huaiyu, Wang, Yue, Wang, Weimin, Li, Tong, Li, Shengli, Xu, Zhiming, Wang, Yongyi, Dong, Qiang, Tang, Yuping, Chu, Heling, Lu, Ying, Wang, Zhong, Sun, Xiaoou, Zhao, Jianhua, Yang, Shuaifeng, Qian, Xiying, Saroja, Aralikatte Onkarappa, Naik k, Ravishankar, Chindhi, Sandip, Pampaniya, Nakul, Amaresh, Kurubara, Iype, Thomas, R, Dileep, Rajan, Reeja, Panicker, Praveen, Das, Rupjyoti, Choudhury, Nupur, Gohain, Pankaja, Webster, Jemin, Pakma, Biyol, Sangi, Lalbiak, Sebastian, Ivy, Aggrawal, Gaurav, Raj, Komal, Rajoura, Deepankshi, Singh, Sulena, Aggrawal, Varun, Narang, Amit, Arauz, Antonio, Cano-Nigenda, Vanesa, López-Mena, Diego, Valdez-Ruvalcaba, Héctor, Toledo-Treviño, Roberto, Obiako, Reginald, Abubakar, Sani, Emeka, Oguike, Olayemi, Balogun, Lois, Melika, Philip, Ibinaiye, Comfort O, Olurishe, Okubadejo, Njideka, Agabi, Osigwe, Ojo, Oluwadamilola, Wahab, Kolawole, Bello, Abiodun, Ibukun, Oyinloye, Sanayaolu, Olufemi, Jimoh, Abdulraheem, Waheed, Shahid, Kamal, Dr.Ayeesha, Shoaib, Raja Farhat, Orooj, Fizza, Majid, Sadaf, Zehra, Taskeen, Khan, Abdus Salam, Shanker, Ravi, Syed, Nadir Ali, Ahmad, Nashwa, Abanto, Carlos, Valencia, Ana, Barrientos, Danny, Ramirez, Jorge, Calle, Pilar, Palliyeguruge, Dilum, Muthucumarana, Sumudu, Ratnayaka, Shiroma, Ganihiarachchi, Dilhara, Bandaranayake, Arundathi, Somaratne, S.D.B, Narayana, Saumya, Gallage, Sithara, Senanayake, Bimsara, Samarasiri, Udari, Luke, Dunya, Sivapathasundaram, Mythily, Sahadevan, Vithoosan, Rasmi, Amani, Deshaka, Yuran, Fernando, Nilukshi, Munasinghe, Aruna, Rathnapriya, Kapilanga, Nissanka, A.S, Karunathilake, Kanchana, Gayan, Isuru, Wijenayake, Kaminda, Gunasekara, Hasitha, Vidyarathne, Jagath, Keshavaraj, Ajantha, Janarthanan, Kanagasabapathy, Gerald Jeevathasan, Arhivalaky, Sivamainthan, Sivaram, John Priyanth, Mathyamuthan, John Priyanth, Abirami, Rajendiran, Thambippillai, Alwis, Sanjeewa, Gunasekare, Nushara, Liyanarachchi, Vasundara, Dissanayake, Athula, Uluwattage, Wimalasiri Mewa, Ratnayake, Gimhani, Rajinee, Charika, Jayawardana, Sakura, Peiris, Janaka, Wicramasinghe, Ranjith, Fernando, Chamila, Abbas, Jessie, Withanage, Nethmini, Bandara, Makaranda, Mai, Duy Ton, Nguyen, Van Chi, Dao, Viet Phuong, Vuong, Xuan Trung, Nguyen, Tien Dung, Dinh, Trung Hieu, Phan, Ha Quan, Bui, Quoc Viet, Phung, Dinh Tho, Pham, Quang Tho, Pham, Dinh Dai, Do, Duc Thuan, Dang, Phuc Duc, Dang, Minh Duc, Nguyen, Dang Hai, Nguyen, Thi Phuong Nga, Nguyen, Quoc Huy, Pham, Quoc Dai, Chau, Quoc Vinh, Tai, Vinh Thy Van, Le, Tran Vinh, Le, Cong Tri, Tran, Ha Mai Khuong, Nguyen, Huu Khanh, Ngyen, Hoang Minh Thao, Vo, Duc Chien, Nguyen, Thai My Phuong, Tran, Trung Thanh, Vo, Thi Hanh Vi, Cao, Hao Nhien, Nguyen, Ba Thang, Le, Thi Ngoc Suong, La, Thien Duc, Pham, Chi Duc, Thai, Huy, Muñoz-Venturelli, Paula, de Silva, Asita, Thang, Nguyen Huy, Wahab, Kolawole W, Pandian, Jeyaraj D, Pontes-Neto, Octavio M, Shi, Haiping, Wang, Xia, Zhao, Yang, Li, Hao, Liu, Yi, Jiang, Yan, Wu, Bo, Liu, Ming, and Anderson, Craig S

Published
2023
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11. Inhibitory effect of emodin on MRSA biofilm and its mechanism

Author

LIU Jingyi, CAI Lun, DUAN Hao, LIU Chang, and LI Haibo

Subjects
emodin, methicillin-resistant staphylococcus aureus, biofilm, ica, Medicine (General), R5-920
Abstract

Objective To investigate anti-biofilm activity and mechanisms of emodin against methicillin-resistant Staphylococcus aureus (MRSA) in vitro. Methods Microbroth dilution was explored to determine minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of emodin against MRSA252 strain and clinical isolations. Inhibitory curve were draw to estimate dynamic bacteriostatic effect. Crystal violet staining was used to investigate the inhibitory effect of emodin against MRSA biofilm. The effect of emodin on the morphology of MRSA biofilm was observed by scanning electron microscopy (SEM) and laser scanning confocal microscopy (LSCM). The expression of intercellular adhesion (ica) operon was detected by fluorescence quantitative PCR. Results The MICs of emodin against different strains of MRSA ranged from 2 to 8 μg/mL, while MBCs were from 4 to 16 μg/mL. Emodin obviously inhibited the formation of biofilm in a dose-dependent manner. Besides, it destroyed biofilm structure and increased the ratio of dead bacteria under biofilm. Fluorescence quantitative PCR showed that emodin significantly down-regulated the expression of ica operon. Conclusion Emodin can inhibit MRSA biofilm in vitro, and may restrain the formation of bacterial biofilm by down-regulating the expression of ica operon.

Published
2022
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13. Senescence landscape in the liver following sepsis and senolytics as potential therapeutics.

Author

Lavarti, Rupa, Cai, Lun, Diaz, Tatiana Alvarez, Rodriguez, Thalia Medina, Bombin, Sergei, and Raju, Raghavan Pillai

Subjects
*CONFOCAL microscopy, *LIVER cells, *SEPSIS, *ENDOTHELIAL cells, *FLOW cytometry, *CELLULAR aging
Abstract

Senescence, caused by cell‐cycle arrest, is a hallmark of aging. Senescence has also been described in embryogenesis, wound healing, and acute injuries. Sepsis is characterized by a dysregulated host response to infection, leading to organ dysfunction and mortality. Most of the pathophysiology of human sepsis is recapitulated in the mouse model of polymicrobial sepsis, developed by cecal ligation and puncture (CLP). In this report, we demonstrate a rapid onset of cellular senescence in the liver of mice subjected to CLP‐induced sepsis, characterized by the upregulation of p21, p53, and other senescence markers, including SA‐βgal. Using RNAscope, confocal microscopy, and flow cytometry, we further confirm the emergence of p21‐expressing senescence phenotype in the liver 24 h after sepsis induction. Senescence was observed in several cell types in the liver, including hepatocytes, endothelial cells, and macrophages. We determined the landscape of senescence phenotype in murine sepsis by single‐cell sequencing, which further ascertained that this cell fate is not confined to any particular cell type but displays a heterogeneous distribution. Furthermore, we observed a significant reduction in mortality following sepsis when mice were treated with senolytics, a combination of dasatinib and quercetin, before the CLP surgery. Our experiments unequivocally demonstrated a rapid development of cellular senescence with sepsis and, for the first time, described the senescence landscape in the sepsis liver and the possible role of senescent cells in the worsening outcome following sepsis. [ABSTRACT FROM AUTHOR]

Published
2024
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14. A CVaR Estimation Model Based on Stable Distribution in SPAN System

Author

Cai, Lun, Deng, Zhihong, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pan, Linqiang, editor, Liang, Jing, editor, and Qu, Boyang, editor

Published
2020
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18. The analgesic effect of tramadol combined with butorphanol on uterine cramping pain after repeat caesarean section: a randomized, controlled, double-blind study

Author

Cai, Qin, Gong, Hanlin, Fan, Mingbo, Chen, Wen, and Cai, Lun

Subjects
Cesarean section -- Analysis, Sufentanil -- Analysis, Clinical trials -- Analysis, Pain -- Care and treatment, Anesthesia -- Analysis, Health
Abstract

Purpose This study aimed to explore the effect of patient-controlled intravenous analgesia (PCIA) using tramadol combined with butorphanol on uterine cramping pain in women undergoing repeat caesarean section. Methods A total of 126 patients, who were scheduled to undergo repeat caesarean section under spinal anesthesia, were included. PCIA using tramadol combined with butorphanol or sufentanil was randomly performed for postoperative pain control. Postoperative uterine cramping pain and wound pain within 48 h after surgery were evaluated. Postoperative analgesic consumption, early activity time, and length of hospital stay were also recorded and analyzed. Results Uterine cramping pain intensity in women undergoing repeat caesarean section was significantly higher compared with their wound pain (P < 0.05). The mean visual analog scale (VAS) score for uterine cramping pain in the tramadol-butorphanol group was significantly lower than that in the sufentanil group at rest, and at 6 h and 12 h after surgery. VAS scores for uterine cramping pain during movement at 6 h, 12 h, and 24 h after surgery in the tramadol-butorphanol group were also significantly lower than that in sufentanil group (P < 0.05). There was no significant difference in VAS score for wound pain at the different time points between the tramadol-butorphanol and sufentanil groups (P > 0.05). Patient-controlled intravenous analgesia with tramadol accelerated early rehabilitation and decreased the length of hospital stay (P < 0.05). Conclusion PCIA using tramadol combined with butorphanol provided a better analgesic effect and accelerated postoperative rehabilitation compared with sufentanil, and may be an optimal analgesic strategy for women undergoing repeat caesarean section. Clinical trial registration The trial was registered at Chinese Clinical Trial Registry (www.chictr.org.cn) with ID: ChiCTR-1800014986., Author(s): Qin Cai [sup.1] [sup.2], Hanlin Gong [sup.3], Mingbo Fan [sup.2], Wen Chen [sup.2], Lun Cai [sup.2] Author Affiliations: (1) grid.417279.e, Department of Anesthesiology, General Hospital of Central Theater Command, [...]

Published
2020
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26. Adaptive Neural-Network-Based Control for a Class of Nonlinear Systems With Unknown Output Disturbance and Time Delays

Author

Chao-Yang Chen, Yang Tang, Liang-Hong Wu, Ming Lu, Xi-Sheng Zhan, Xiong Li, Cai-Lun Huang, and Wei-Hua Gui

Subjects
Adaptive control, nonlinear systems, time-delay, output disturbance, neural networks, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

This paper pays close attention to the adaptive neural network tracking control. Aiming at a class of uncertain nonlinear systems with completely unknown output disturbance and unknown time delay, a corresponding robust control method is proposed based on the backstepping design technology. Neural network approximation is introduced as a very effective estimation technique for modeling uncertain partitions in the design process of virtual controller. The suitable Lyapunov–Krasovskii function is constructed, and by using the organic combination of Young’s inequality, unknown time delays are compensated. Nussbaum function is used to handle unknown virtual control directions. A practical robust control method is proposed to deal with the controller singularity problems. A priori knowledge is not required for this method. In this method, all signals achieve semi-global uniform ultimate boundedness, and it is demonstrated that the tracking error eventually converges the region around the origin. The simulation results verify this method’s feasibility and effectiveness.

Published
2019
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35. The third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): an international, stepped wedge cluster randomised controlled trial

Author

Ma, Lu, primary, Hu, Xin, additional, Song, Lili, additional, Chen, Xiaoying, additional, Ouyang, Menglu, additional, Billot, Laurent, additional, Li, Qiang, additional, Malavera, Alejandra, additional, Li, Xi, additional, Muñoz-Venturelli, Paula, additional, de Silva, Asita, additional, Thang, Nguyen Huy, additional, Wahab, Kolawole W, additional, Pandian, Jeyaraj D, additional, Wasay, Mohammad, additional, Pontes-Neto, Octavio M, additional, Abanto, Carlos, additional, Arauz, Antonio, additional, Shi, Haiping, additional, Tang, Guanghai, additional, Zhu, Sheng, additional, She, Xiaochun, additional, Liu, Leibo, additional, Sakamoto, Yuki, additional, You, Shoujiang, additional, Han, Qiao, additional, Crutzen, Bernard, additional, Cheung, Emily, additional, Li, Yunke, additional, Wang, Xia, additional, Chen, Chen, additional, Liu, Feifeng, additional, Zhao, Yang, additional, Li, Hao, additional, Liu, Yi, additional, Jiang, Yan, additional, Chen, Lei, additional, Wu, Bo, additional, Liu, Ming, additional, Xu, Jianguo, additional, You, Chao, additional, Anderson, Craig S, additional, Robinson, Thompson, additional, Miranda, J. Jaime, additional, Anderson, Craig S., additional, Parry-Jones, Adrian, additional, Sprigg, Nikola, additional, Durrans, Sophie, additional, Harris, Caroline, additional, Bamford, Ann, additional, Smith, Olivia, additional, Herbert, Robert, additional, Chen, Christopher, additional, Whiteley, William, additional, Hu, Rong, additional, Mysore, Jayanthi, additional, Zhang, Yao, additional, Jan, Stephen, additional, Liu, Hueiming, additional, Sun, Lingli, additional, Chu, Honglin, additional, Anjum, Anila, additional, Gonzalez Mc Cawley, Francisca, additional, Del Rio, Alejandra, additional, Rimoli, Bruna, additional, Cerantola, Rodrigo, additional, Jeevarajah, Thanushanthan, additional, Kannangara, Madhushani, additional, Joseph, Andrene, additional, Nanayakkara, Chamath, additional, Zhang, Chunmiao, additional, Yang, Zhao, additional, Li, Brook, additional, Meng, Zhuo, additional, Ning, Yi, additional, Dong, Le, additional, Armenis, Manuela, additional, Lim, Joyce, additional, Monaghan, Helen, additional, Ma, Lu, additional, Luo, Rui, additional, Cheng, Guojuan, additional, Dong, Yilin, additional, Liu, Ziqin, additional, Wang, Shuihong, additional, Zhang, Ying, additional, Cheng, Jipeng, additional, Shi, Hui, additional, Li, Wenjing, additional, Mou, Langming, additional, Yi, Ping, additional, Chen, Xue, additional, Weerawardena, Shalomi, additional, Ellawala, Poornima, additional, Ranasinghe, Enalee, additional, Rodrigo, Chrishmi, additional, Wahab, Kolawala, additional, Adeniyi, Sunday, additional, Pandian, Jeyaraj, additional, Khanna, Megha, additional, Muñoz Venturelli, Paula, additional, González, Francisca, additional, Urrutia Goldsack, Francisca, additional, Begum, Dilshad, additional, Pontes-Neto, Octavio, additional, Camilo, Millene, additional, Dias, Francisco, additional, Vincenzi, Octavio, additional, Moro, Carla, additional, Santos, Renata, additional, Texeira, Nara, additional, Longo, Alexandre, additional, Liberato, Rafaela, additional, Martins, Sheila, additional, Pille, Arthur, additional, Chwal, Bruna, additional, Silva, Isabel, additional, Titton, Natacha, additional, Weiss, Gustavo, additional, Mora, Daissy, additional, Ouriques, Magda, additional, Carbonera, Leonardo, additional, Bazan, Rodrigo, additional, Modolo, Gabriel, additional, Winckler, Fernanda, additional, Miranda, Luana, additional, Souza, Juli, additional, Rojo, Alexis, additional, Uslar, Wilhelm, additional, Medel, Lorena, additional, Lopez, Javiera, additional, Herrero, Diego, additional, Lavados, Pablo, additional, Vargas Latorre, Barbara, additional, Conejan, Nathalie, additional, Esparza, Tomas, additional, Sotomayor, Patricio, additional, Wenger, Denisse, additional, Gigoux, Juan Pablo, additional, Letelier, Aldo, additional, Acevedo, Lilian, additional, Moya, Vivianne, additional, Figueroa, Cristian, additional, Vallejos, Nicol, additional, Guerrero, Rodrigo, additional, Velasquez, Mauricio, additional, Vallejos, Jose, additional, Pallauta, Kimerly, additional, Santibanez, Tamara, additional, Queirolo, Angelo, additional, Lobos, Andrea, additional, Jiang, Yongming, additional, Li, Weimin, additional, Huang, Wei, additional, Luo, Ke, additional, Liu, Gangying, additional, Yang, Guang, additional, Jiang, Hongtao, additional, Zhang, Xu, additional, Jing, Hongyan, additional, Pu, Bo, additional, Lv, Dong, additional, Kang, Hui, additional, Hu, Qiuping, additional, Jiang, Xiaoming, additional, Chen, Yanli, additional, Yang, Shenghua, additional, He, Jianjun, additional, Li, Zongping, additional, Cheng, Gang, additional, Huang, Hailin, additional, Wang, Xiaoyi, additional, Lin, Jianqiong, additional, Chen, Minhui, additional, Yang, Chenghao, additional, Ding, Hao, additional, Deng, Yunliang, additional, Luo, Fei, additional, Zhang, Rongjun, additional, Wang, Xiaofeng, additional, Zhang, Hongbing, additional, Yang, Xiaoliang, additional, Zhang, Yang, additional, Yang, Chengyi, additional, He, Yu, additional, Liu, Feng, additional, Wang, Rongjie, additional, Zhang, Yuhui, additional, Xin, Xiaodong, additional, Feng, Bin, additional, Hao, Wanru, additional, Song, Chang, additional, Guo, Yun, additional, Jiang, Dehua, additional, Chen, Jie, additional, Tang, Changtong, additional, Zhu, Hongliang, additional, Li, Xin, additional, Cui, Jin, additional, Xu, Haidong, additional, Li, Boyang, additional, Tang, Fusheng, additional, Li, Yuanbin, additional, Gao, Min, additional, Yang, Bo, additional, Xu, Xuejun, additional, Deng, Bing, additional, Zheng, Yi, additional, Ge, Yuanhong, additional, Chen, Keyu, additional, Liu, Yang, additional, Li, Xinshen, additional, Zhong, Tingting, additional, Xu, Jianfeng, additional, Zhang, Hai, additional, Wang, Jiyue, additional, Zhu, Jianxin, additional, Sun, Hanyu, additional, Yu, Fuhua, additional, Zhang, Xueguang, additional, Zhang, Mingsen, additional, Wang, Bin, additional, Ma, Yiming, additional, Jiang, Donglin, additional, Zhou, Jun, additional, Liu, Cong, additional, Nie, Wenhong, additional, Li, Mingguo, additional, Tian, Tao, additional, Li, Yong, additional, He, Mingfang, additional, Tu, Xiaolong, additional, Wu, Zhengjun, additional, Liu, Hong, additional, Zhong, Dongsheng, additional, Jiang, Rongcai, additional, Sun, Jian, additional, Tian, Ye, additional, Wei, Yingsheng, additional, An, Shuo, additional, Wei, Pingbo, additional, Luo, Le, additional, Lin, Bin, additional, Liu, Gang, additional, Wen, Yan, additional, Cai, Qiang, additional, Chen, Qianxue, additional, Lei, Pan, additional, Li, Zhiyang, additional, Zhang, Meifang, additional, He, Jiaquan, additional, Chen, Yan, additional, Liu, Jun, additional, Liu, Xinghai, additional, Li, Junyan, additional, Chen, Min, additional, Wang, Jing, additional, Zhou, Bingzhi, additional, Ye, Baichun, additional, Zhang, Jiancheng, additional, Zhang, Manyuan, additional, Pan, Xuming, additional, Yu, Xiaoxiang, additional, Xu, Jian, additional, Xiao, Qingbao, additional, Wang, Yuefei, additional, Tao, Liang, 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Published
2023
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47. Advances in Rodent Experimental Models of Sepsis.

Author

Cai, Lun, Rodgers, Elizabeth, Schoenmann, Nick, and Raju, Raghavan Pillai

Subjects
*SEPSIS, *RODENTS, *ANIMAL models in research, *CLINICAL trials
Abstract

In the development of therapeutic strategies for human diseases, preclinical experimental models have a key role. However, the preclinical immunomodulatory therapies developed using rodent sepsis were not successful in human clinical trials. Sepsis is characterized by a dysregulated inflammation and redox imbalance triggered by infection. Human sepsis is simulated in experimental models using methods that trigger inflammation or infection in the host animals, most often mice or rats. It remains unknown whether the characteristics of the host species, the methods used to induce sepsis, or the molecular processes focused upon need to be revisited in the development of treatment methods that will succeed in human clinical trials. Our goal in this review is to provide a survey of existing experimental models of sepsis, including the use of humanized mice and dirty mice, and to show how these models reflect the clinical course of sepsis. We will discuss the strengths and limitations of these models and present recent advances in this subject area. We maintain that rodent models continue to have an irreplaceable role in studies toward discovering treatment methods for human sepsis. [ABSTRACT FROM AUTHOR]

Published
2023
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