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169 results on '"Liang, Hua-ping"'

2. Expert consensus on the monitoring and treatment of sepsis-induced immunosuppression

Author

Pei, Fei, Yao, Ren-Qi, Ren, Chao, Bahrami, Soheyl, Billiar, Timothy R., Chaudry, Irshad H., Chen, De-Chang, Chen, Xu-Lin, Cui, Na, Fang, Xiang-Ming, Kang, Yan, Li, Wei-Qin, Li, Wen-Xiong, Liang, Hua-Ping, Lin, Hong-Yuan, Liu, Ke-Xuan, Lu, Ben, Lu, Zhong-Qiu, Maegele, Marc, Peng, Tian-Qing, Shang, You, Su, Lei, Sun, Bing-Wei, Wang, Chang-Song, Wang, Jian, Wang, Jiang-Huai, Wang, Ping, Xie, Jian-Feng, Xie, Li-Xin, Zhang, Li-Na, Zingarelli, Basilia, Guan, Xiang-Dong, Wu, Jian-Feng, and Yao, Yong-Ming

Published
2022
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10. A Transendothelial Leukocyte Transmigration Model Based on Computational Fluid Dynamics and BP Neural Network

Author

Chi, Qingjia, Yang, Zichang, and Liang, Hua-Ping

Subjects
Histology, Biomedical Engineering, Bioengineering, Biotechnology
Abstract

The mechanism of immune infiltration involving immune cells is closely related to various diseases. A key issue in immune infiltration is the transendothelial transmigration of leukocytes. Previous studies have primarily interpreted the leukocyte infiltration of from biomedical perspective. The physical mechanism of leukocyte infiltration remains to be explored. By integrating the immune cell transmigration computational fluid dynamics (CFD) data, the paper builds a time-dependent leukocyte transmigration prediction model based on the bio-inspired methods, namely back propagation neural networks (BPNN) model. The model can efficiently predict the immune cell transmigration in a special microvascular environment, and obtain good prediction accuracy. The model accurately predicted the cell movement and flow field changes during the transmigration. In the test data set, it has high prediction accuracy for cell deformation, motion velocity and flow lift forces during downstream motion, and maintains a good prediction accuracy for drag force. The two prediction models achieved the prediction of leukocyte transmigration in a specific microvascular environment and maintained a high prediction accuracy, indicating the feasibility and robustness of the BPNN model applied to the prediction of immune cell infiltration. Compared with traditional CFD simulations, BPNN models avoid complex and time-dependent physical modeling and computational processes.

Published
2022

25. Additional file 1: of Metformin induces apoptosis in mesenchymal stromal cells and dampens their therapeutic efficacy in infarcted myocardium

Author

He, Xiao, Yao, Meng-Wei, Zhu, Ming, Liang, Dong-Lan, Guo, Wei, Yang, Yi, Rong-Seng Zhao, Ren, Ting-Ting, Ao, Xiang, Wang, Wei, Zeng, Chun-Yu, Liang, Hua-Ping, Jiang, Dong-Po, Yu, Jian, and Xu, Xiang

Abstract

Table S1. Demographic and clinical characteristics of patients. Figure S1. Identification of MSCs. A hUC-MSC in normal condition (40×); B osteogenic differentiation of hUC-MSC; C chondrogenic differentiation of hUC-MSC; D adipogenic differentiation of hUC-MSC; E detection of surface markers of hUC-MSC by flow cytometry. Figure S2. Metformin has no effect on mouse cardiomyocytes, human endothelial cells, and human fibroblast survival. A and B, the ratio of mouse cardiomyocyte apoptosis (annexin V+) induced by 2 mM metformin at 24 h, 48 h, and 72 h; C and D, the ratio of human endothelial cells apoptosis (annexin V+) induced by 2 mM metformin at 24 h, 48 h, and 72 h; E and F, the ratio of human fibroblast apoptosis (annexin V+) induced by 2 mM metformin at 24 h, 48 h, and 72 h. Bars in B, D, and F represent the mean ± SEM (n = 3 per group). Statistical test applied by one-way ANOVA. (DOCX 11562 kb)

Published
2018
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30. Combined anatomic and physiologic scoring systems for predicting in-hospital mortality in ICU patients with severe trauma: A multicenter observational cohort study.

Author

Ma, Xiao-Yuan, Jin, Huai-Jian, Tian, Li-Xing, Wang, Qian, Zhu, Jun-Yu, He, Zhi-Gao, Tao, Wen, Chen, Tao, Wang, Bin, and Liang, Hua-Ping

Abstract

Objective: To evaluate the ability of new injury severity score (NISS), acute physiology and chronic health evaluation II (APACHE II), Glasgow coma scale (GCS), a combination of NISS and GCS, a combination of APACHE II and GCS, a combination of NISS and APACHE II to predict all-cause mortality of patients with severe trauma in mainland China. Methods: This was a multicenter observational cohort study conducted in the ICU of the Chonggang General Hospital, Daping Hospital of the Army Medical University and Affiliated Hospital of Zunyi Medical College from January 2012 to August 2016. The score of NISS, APACHE II, GCS, a combination of NISS and GCS, a combination of APACHE II and GCS, a combination of NISS and APACHE II were calculated based on data from the first 24 hours of ICU admission. Data were processed with Student's t-test, chi-square test, and receiver operating characteristic (ROC) curve of six scoring systems. Calibration was assessed with the Hosmer-Lemeshow test. The primary endpoint was death from any cause during ICU stay. Results: A total of 852 and 238 patients with severe trauma were assigned to the derivation group and validation group, respectively. Area under the ROC curve (AUC) was 0.826 [95% confidence interval (CI)=0.794-0.855)] for NISS, 0.802 (95% CI=0.768-0.832) for APACHE II, 0.808 (95% CI=0.774-0.838) for NGCS, 0.859 (95% CI=0.829 -0.886) for NISS+NGCS, 0.864 (95% CI=0.835-0.890) for APACHE II +NGCS, 0.896 (95% CI=0.869-0.929) for NISS+APACHE II in the derivation cohort. Similarly, the score of NISS+APACHE II was also better than the other five scores in the validation cohort (AUC=0.782; 95% CI=0.725-0.833) and had a good calibration (P=0.41). Conclusions: Taking into account anatomical and physiological parameters completely, the combination of NISS and APACHE II performs better than NISS, APACHE II , NGCS, NISS+NGCS, APACHE II +NGCS for predicting mortality in ICU severe trauma patients. It is needful to develop models that contain various types of accessible predictors (demographic variables, injury cause/mechanism, physiological and anatomical variables, etc.) as comprehensive as possible. [ABSTRACT FROM AUTHOR]

Published
2019
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31. Metformin induces apoptosis in mesenchymal stromal cells and dampens their therapeutic efficacy in infarcted myocardium

Author

He, Xiao, primary, Yao, Meng-Wei, additional, Zhu, Ming, additional, Liang, Dong-Lan, additional, Guo, Wei, additional, Yang, Yi, additional, Zhao, Rong-Seng, additional, Ren, Ting-Ting, additional, Ao, Xiang, additional, Wang, Wei, additional, Zeng, Chun-Yu, additional, Liang, Hua-Ping, additional, Jiang, Dong-po, additional, Yu, Jian, additional, and Xu, Xiang, additional

Published
2018
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36. Alterations of Dendritic Cells in Sepsis: Featured Role in Immunoparalysis

Author

Fan, Xia, Liu, Zheng, Jin, He, Yan, Jun, and Liang, Hua-ping

Subjects
Article Subject, chemical and pharmacologic phenomena
Abstract

Sepsis, the leading cause of mortality in intensive care unit, is characterized by hyperinflammatory response in the early stage and followed by a period of immunosuppression. This immune disorder is believed to be the potent factor that is tightly associated with high mortality in sepsis. Dendritic cells (DCs) serve as professional antigen-presenting cells that play a vital role in immune response by activating T lymphocytes. During the progression of sepsis, DCs have been reported to take part in the aberrant immune response and be necessary for survival. Therefore, a better understanding of the DCs pathology will be undoubtedly beneficial for resolving the problems occurring in sepsis. This review discusses effects of sepsis on DCs number and function, including surface molecules expression, cytokines secretion, and T cell activation, and the underlying mechanism as well as some potential therapeutic strategies.

Published
2015
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38. Comparison of risk factors associated with sepsis between road traffic injuries and non-road traffic injuries in ICU patients with severe trauma.

Author

Ma, Xiao-Yuan, Jin, Huai-Jian, Cheng, Shao-Wen, Tang, Wan-Qi, Ma, Wei, Luo, Li, Yang, Xue, Wang, Qian, Wang, Bin, and Liang, Hua-Ping

Subjects
SEPSIS, INTENSIVE care units, TRAUMATOLOGY, BLOOD diseases, HOSPITAL wards
Abstract

Objective: To estimate the incidence and related risk factors of sepsis between road traffic injuries (RTIs) and non-RTIs. Methods: Clinical data of 339 patients with severe trauma who were admitted into ICU in both Third Affiliated Hospital of Army Military Medical University and ChongGang General Hospital from January 2012 to December 2015 were retrospectively analyzed. Twenty items of potential risk factors affecting sepsis were evaluated by univariate and multivariate Logistic Analysis with the purpose of drawing a comparison between RTI patients and non-RTI patients. Results: There were 154 cases of RTI and 185 cases of non-RTI entering the study period. The significant independent risk factor of sepsis in RTIs was SOFA 11 (OR=4.821; 95% CI=1.901-12.226; P=0.001). The significant independent risk factors of sepsis in non-RTIs were SOFA 11 (OR=12.410; 95% CI=2.559-60.185; P=0.002), tracheal intubation (OR=8.913; 95% CI=2.322-34.206; P=0.001), APACHE II 15 (OR=3.684; 95% CI=1.750-7.753; P=0.001). Conclusions: The clinical medical personnel should not give equal treatment to RTI patients and non-RTI patients admitted in ICU in that factors predicting sepsis within above two groups are different. The sample volume should be increased and validated in further prospective research. [ABSTRACT FROM AUTHOR]

Published
2018
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50. Expressions of Some Neurotrophins and Neurotrophic Cytokines at Site of Spinal Cord Injury in Mice after Vaccination with Dendritic Cells Pulsed with Homogenate Proteins.

Author

Wang, Ke, Chao, Rui, Guo, Qiao-Nan, Liu, Ming-Yong, Liang, Hua-Ping, Liu, Peng, and Zhao, Jian-Hua

Abstract

Objective: Immune cells are key mediators of secondary damage following spinal cord injury (SCI), and dendritic cell (DC)-based vaccines have received considerable interest for treatment of SCI. We previously showed that vaccination with DCs pulsed with homogenate proteins of the spinal cord (hpDCs) promotes functional recovery from SCI in mice. However, the underlying molecular mechanisms remain unclear. Here, changes of neurotrophins, cytokines and T cells at the site of SCI in mice after vaccination with hpDCs were investigated and correlatedwith recovery from SCI. Methods: hpDCs, DCs (control) or PBS (control) were injected intraperitoneally into injured mouse spinal cords. Functional recovery of the spinal cord was measured weekly using the Basso Mouse Scale (BMS) and confirmed by histological and immunohistochemical analysis. Brain-derived neurotrophic factor (BDNF), neurotrophin-3 (NT-3), interleukin-4 (IL-4) and interferon-γ(IFN-γ) levels in T cell culture supernatants and spinal cord tissues were determined by ELISA. Results: Eighty-four days after immunization, the BMS score of the hpDCs group (6.92 ± 0.20) was significantly higher than those of the DCs and PBS groups (p < 0.01). Meanwhile, the injury area and number of cysts in the hpDCs group decreased significantly compared with control groups. BDNF, NT-3, IL-4 and IFN-γ levels at the injured site as well as BDNF and NT-3 levels in the supernatant of cultured T cells from the hpDCs group were significantly higher than in control groups (p < 0.05). Conclusion: These results reveal that vaccination with hpDCs can promote SCI repair potentially by upregulat- ing BDNF, NT-3, IL-4 and IFN-γ at the injury site. [ABSTRACT FROM AUTHOR]

Published
2013
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