1.Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population.
Meng Fan LIU ; Rui Xia MA ; Xian Bao CAO ; Hua ZHANG ; Shui Hong ZHOU ; Wei Hong JIANG ; Yan JIANG ; Jing Wu SUN ; Qin Tai YANG ; Xue Zhong LI ; Ya Nan SUN ; Li SHI ; Min WANG ; Xi Cheng SONG ; Fu Quan CHEN ; Xiao Shu ZHANG ; Hong Quan WEI ; Shao Qing YU ; Dong Dong ZHU ; Luo BA ; Zhi Wei CAO ; Xu Ping XIAO ; Xin WEI ; Zhi Hong LIN ; Feng Hong CHEN ; Chun Guang SHAN ; Guang Ke WANG ; Jing YE ; Shen Hong QU ; Chang Qing ZHAO ; Zhen Lin WANG ; Hua Bin LI ; Feng LIU ; Xiao Bo CUI ; Sheng Nan YE ; Zheng LIU ; Yu XU ; Xiao CAI ; Wei HANG ; Ru Xin ZHANG ; Yu Lin ZHAO ; Guo Dong YU ; Guang Gang SHI ; Mei Ping LU ; Yang SHEN ; Yu Tong ZHAO ; Jia Hong PEI ; Shao Bing XIE ; Long Gang YU ; Ye Hai LIU ; Shao wei GU ; Yu Cheng YANG ; Lei CHENG ; Jian Feng LIU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(6):579-588
		                        		
		                        			
		                        			Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
		                        		
		                        		
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			SARS-CoV-2
		                        			;
		                        		
		                        			Smell
		                        			;
		                        		
		                        			COVID-19/complications*
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			COVID-19 Vaccines
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Olfaction Disorders/etiology*
		                        			;
		                        		
		                        			Taste Disorders/etiology*
		                        			;
		                        		
		                        			Prognosis
		                        			
		                        		
		                        	
2.Influence of artificial liver support system therapy on platelet in treatment of hepatitis B virus-related acute-on-chronic liver failure
Lu WANG ; Wenxiong XU ; Shu ZHU ; Xuejun LI ; Yuanli CHEN ; Chan XIE ; Liang PENG
Journal of Clinical Hepatology 2022;38(5):1053-1058
		                        		
		                        			
		                        			 Objective To investigate the changing trend of platelet count (PLT) and related influencing factors in patients with hepatitis B virus-related chronic-on-acute liver failure (HBV-ACLF) after artificial liver support system (ALSS) therapy. Methods A total of 152 patients with HBV-ACLF who were hospitalized and treated in The Third Affiliated Hospital of Sun Yat-Sen University from January 2018 to November 2021 were included in the study, among whom 102 patients received plasma exchange (PE) and 50 patients received double plasma molecular absorption system combined with low-dose PE, and their clinical data and laboratory marker were measured. The independent samples t -test or the Mann-Whitney U test was used for the comparison of continuous data between two groups, and the chi-square test was used for the comparison of categorical data between two groups; a multivariate logistic regression analysis was used to investigate the risk factors for PLT > 50×10 9 /L after ALSS therapy; the receiver operating characteristic (ROC) curve was used to investigate the value of baseline PLT in predicting PLT > 50×10 9 /L after ALSS therapy. Results The patients were mostly middle-aged male adults; among the 152 patients, 70 (46.1%) had liver cirrhosis on admission, 114 (75.0%) received three sessions of ALSS therapy, and 88% had a baseline PLT count of > 50×10 9 /L. There was a significant reduction in PLT from baseline to after ALSS therapy (79.5±47.7 vs 112.5±64.1, t =4.965, P < 0.001), and at 1 week after treatment, PLT increased to the baseline level (97.2±50.7 vs 112.5±64.1, t =1.787, P =0.075). As for the change in PLT from baseline to 1 week after ALSS therapy, the liver cirrhosis group had a significantly greater reduction in PLT than the non-liver cirrhosis group ( U =1986.5, P =0.026), while there was no significant difference between different procedures of ALSS therapy and different sessions of treatment (3-5 sessions) (all P > 0.05). The multivariate logistic regression analysis showed that cirrhosis (odds ratio [ OR ]=3.097, 95% confidence interval [ CI ]: 1.255-7.645, P =0.014) and PLT > 50×10 9 /L at baseline ( OR =0.019, 95% CI : 0.002-0.154, P < 0.001) were independent risk factors for PLT > 50×10 9 /L after ALSS therapy. The ROC curve analysis of baseline PLT showed that PLT > 80.5×10 9 /L at baseline was the optimal cut-off value affecting PLT > 50×10 9 /L after treatment, with an area under the ROC curve of 0.818. Conclusion The influence of ALSS therapy on PLT is temporary, but cirrhotic patients have a weaker PLT generation ability than non-cirrhotic patients. PLT > 80.5×10 9 /L at baseline is the optimal cut-off value to reduce the risk of bleeding after ALSS therapy. 
		                        		
		                        		
		                        		
		                        	
3.cGAS guards against chromosome end-to-end fusions during mitosis and facilitates replicative senescence.
Xiaocui LI ; Xiaojuan LI ; Chen XIE ; Sihui CAI ; Mengqiu LI ; Heping JIN ; Shu WU ; Jun CUI ; Haiying LIU ; Yong ZHAO
Protein & Cell 2022;13(1):47-64
		                        		
		                        			
		                        			As a sensor of cytosolic DNA, the role of cyclic GMP-AMP synthase (cGAS) in innate immune response is well established, yet how its functions in different biological conditions remain to be elucidated. Here, we identify cGAS as an essential regulator in inhibiting mitotic DNA double-strand break (DSB) repair and protecting short telomeres from end-to-end fusion independent of the canonical cGAS-STING pathway. cGAS associates with telomeric/subtelomeric DNA during mitosis when TRF1/TRF2/POT1 are deficient on telomeres. Depletion of cGAS leads to mitotic chromosome end-to-end fusions predominantly occurring between short telomeres. Mechanistically, cGAS interacts with CDK1 and positions them to chromosome ends. Thus, CDK1 inhibits mitotic non-homologous end joining (NHEJ) by blocking the recruitment of RNF8. cGAS-deficient human primary cells are defective in entering replicative senescence and display chromosome end-to-end fusions, genome instability and prolonged growth arrest. Altogether, cGAS safeguards genome stability by controlling mitotic DSB repair to inhibit mitotic chromosome end-to-end fusions, thus facilitating replicative senescence.
		                        		
		                        		
		                        		
		                        	
4.Effects and mechanism of human umbilical vein endothelial cells-derived exosomes on wound healing in diabetic rabbits.
Jia Rong YI ; Ze Nan LI ; Hui Qing XIE ; Shu Yue CHEN ; Bi Mei JIANG ; Li QIAN ; Li Xin XU ; Hai Hong LI ; Shao Rong LEI ; Zhi Zhao CHEN ; Jianda ZHOU
Chinese Journal of Burns 2022;38(11):1023-1033
		                        		
		                        			
		                        			Objective: The investigate the effects and mechanism of exosomes derived from human umbilical vein endothelial cells (HUVECs) on wound healing in diabetes rabbits. Methods: The experimental research methods were used. The primary vascular endothelial cells (VECs) and human skin fibroblasts (HSFs) were extracted from skin tissue around ulcer by surgical excision of two patients with diabetic ulcer (the male aged 49 years and the female aged 58 years) admitted to Xiangya Third Hospital of Central South University in June 2019. The cells were successfully identified through morphological observation and flow cytometry. The HUVEC exosomes were extracted by ultracentrifugation and identified successfully by morphological observation, particle size detection, and Western blotting detection. Twenty female 3-month-old New Zealand rabbits were taken to create one type 2 diabetic full-thickness skin defect wound respectively on both sides of the back. The wounds were divided into exosomes group and phosphate buffer solution (PBS) group and treated accordingly, with 20 wounds in each group, the time of complete tissue coverage of wound was recorded. On PID 14, hematoxylin-eosin staining or Masson staining was performed to observe angiogenesis or collagen fiber hyperplasia (n=20). The VECs and HSFs were co-cultured with HUVEC exosomes for 24 h to observe the uptake of HUVEC exosomes by the two kinds of cells. The VECs and HSFs were divided to exosome group treated with HUVEC exosomes and PBS group treated with PBS to detect the cell proliferation on 4 d of culture with cell count kit 8, to detect and calculate the cell migration rate at 24 and 48 h after scratch by scratch test, to detect the cell migration number at 24 h of culture with Transwell test, and to detect the mRNA expressions of nuclear factor-erythroid 2-related factor 2 (NRF2) and transcription activating factor 3 (ATF3) by real time fluorescence quantitative reverse transcription polymerase chain reaction. Besides, the number of vascular branches and vascular length were observed in the tube forming experiment after 12 h of culture of VECs (n=3). The VECs and HSFs were taken and divided into PBS group and exosome group treated as before, and NRF2 interference group, ATF3 interference group, and no-load interference group with corresponding gene interference. The proliferation and migration of the two kinds of cells, and angiogenesis of VECs were detected as before (n=3). Data were statistically analyzed with analysis of variance for repeated measurement, one-way analysis of variance, independent sample t test, and least significant difference test. Results: The time of complete tissue coverage of wound in exosome group was (17.9±1.9) d, which was significantly shorter than (25.2±2.3) d in PBS group (t=4.54, P<0.05). On PID14, the vascular density of wound in PBS group was significantly lower than that in exosome group (t=10.12, P<0.01), and the collagen fiber hyperplasia was less than that in exosome group. After 24 h of culture, HUVEC exosomes were successfully absorbed by VECs and HSFs. The proliferative activity of HSFs and VECs in exosome group was significantly higher than that in PBS group after 4 d of culture (with t values of 54.73 and 7.05, respectively, P<0.01). At 24 and 48 h after scratch, the migration rates of HSFs (with t values of 3.42 and 11.87, respectively, P<0.05 or P<0.01) and VECs (with t values of 21.42 and 5.49, respectively, P<0.05 or P<0.01) in exosome group were significantly higher than those in PBS group. After 24 h of culture, the migration numbers of VECs and HSFs in exosome group were significantly higher than those in PBS group (with t values of 12.31 and 16.78, respectively, P<0.01). After 12 h of culture, the mRNA expressions of NRF2 in HSFs and VECs in exosome group were significantly higher than those in PBS group (with t values of 7.52 and 5.78, respectively, P<0.05 or P<0.01), and the mRNA expressions of ATF3 were significantly lower than those in PBS group (with t values of 13.44 and 8.99, respectively, P<0.01). After 12 h of culture, the number of vascular branches of VECs in exosome group was significantly more than that in PBS group (t=17.60, P<0.01), and the vascular length was significantly longer than that in PBS group (t=77.30, P<0.01). After 4 d of culture, the proliferation activity of HSFs and VECs in NRF2 interference group was significantly lower than that in PBS group and exosome group (P<0.05 or P<0.01); the proliferation activity of HSFs and VECs in ATF3 interference group was significantly higher than that in PBS group (P<0.05 or P<0.01) and significantly lower than that in exosome group (P<0.05 or P<0.01). At 24 and 48 h after scratch, the migration rates of HSFs and VECs in ATF3 interference group were significantly higher than those in PBS group (P<0.05 or P<0.01) and significantly lower than those in exosome group (P<0.05 or P<0.01). At 24 and 48 h after scratch, the migration rates of HSFs and VECs in NRF2 interference group were significantly lower than those in PBS group and exosome group (P<0.05 or P<0.01). After 24 h of culture, the migration numbers of VECs and HSFs in ATF3 interference group were significantly more than those in PBS group (P<0.05) and significantly less than those in exosome group (P<0.05 or P<0.01); the migration numbers of VECs and HSFs in NRF2 interference group were significantly less than those in PBS group and exosome group (P<0.01). After 12 h of culture, the vascular length and number of branches of VECs in NRF2 interference group were significantly decreased compared with those in PBS group and exosome group (P<0.01); the vascular length and number of branches of VECs in ATF3 interference group were significantly increased compared with those in PBS group (P<0.01) and were significantly decreased compared with those in exosome group (P<0.01). Conclusions: HUVEC exosomes can promote the wound healing of diabetic rabbits by promoting the proliferation and migration of VECs and HSFs, and NRF2 and ATF3 are obviously affected by exosomes in this process, which are the possible targets of exosome action.
		                        		
		                        		
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Rabbits
		                        			;
		                        		
		                        			Collagen/metabolism*
		                        			;
		                        		
		                        			Diabetes Mellitus
		                        			;
		                        		
		                        			Exosomes/metabolism*
		                        			;
		                        		
		                        			Human Umbilical Vein Endothelial Cells
		                        			;
		                        		
		                        			Hyperplasia/metabolism*
		                        			;
		                        		
		                        			NF-E2-Related Factor 2/metabolism*
		                        			;
		                        		
		                        			RNA, Messenger/metabolism*
		                        			;
		                        		
		                        			Ulcer
		                        			;
		                        		
		                        			Wound Healing
		                        			;
		                        		
		                        			Middle Aged
		                        			
		                        		
		                        	
5.Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China.
Yan MA ; Dong Shan ZHU ; Ren Bo CHEN ; Nan Nan SHI ; Si Hong LIU ; Yi Pin FAN ; Gui Hui WU ; Pu Ye YANG ; Jiang Feng BAI ; Hong CHEN ; Li Ying CHEN ; Qiao FENG ; Tuan Mao GUO ; Yong HOU ; Gui Fen HU ; Xiao Mei HU ; Yun Hong HU ; Jin HUANG ; Qiu Hua HUANG ; Shao Zhen HUANG ; Liang JI ; Hai Hao JIN ; Xiao LEI ; Chun Yan LI ; Min Qing LI ; Qun Tang LI ; Xian Yong LI ; Hong De LIU ; Jin Ping LIU ; Zhang LIU ; Yu Ting MA ; Ya MAO ; Liu Fen MO ; Hui NA ; Jing Wei WANG ; Fang Li SONG ; Sheng SUN ; Dong Ting WANG ; Ming Xuan WANG ; Xiao Yan WANG ; Yin Zhen WANG ; Yu Dong WANG ; Wei WU ; Lan Ping WU ; Yan Hua XIAO ; Hai Jun XIE ; Hong Ming XU ; Shou Fang XU ; Rui Xia XUE ; Chun YANG ; Kai Jun YANG ; Sheng Li YUAN ; Gong Qi ZHANG ; Jin Bo ZHANG ; Lin Song ZHANG ; Shu Sen ZHAO ; Wan Ying ZHAO ; Kai ZHENG ; Ying Chun ZHOU ; Jun Teng ZHU ; Tian Qing ZHU ; Hua Min ZHANG ; Yan Ping WANG ; Yong Yan WANG
Biomedical and Environmental Sciences 2020;33(12):893-905
		                        		
		                        			Objective:
		                        			Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear.
		                        		
		                        			Methods:
		                        			A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( 
		                        		
		                        			Results:
		                        			Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks.
		                        		
		                        			Conclusion
		                        			Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			COVID-19/virology*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Comorbidity
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Severity of Illness Index
		                        			;
		                        		
		                        			Treatment Outcome
		                        			
		                        		
		                        	
6.Effects of supplying silicon nutrient on utilization rate of nitrogen and phosphorus nutrients by rice and its soil ecological mechanism in a hybrid rice double-cropping system.
Min LIAO ; Zhi-Ping FANG ; Yu-Qi LIANG ; Xiao-Hui HUANG ; Xu YANG ; Shu-Sen CHEN ; Xiao-Mei XIE ; Chang-Xu XU ; Jia-Wen GUO
Journal of Zhejiang University. Science. B 2020;21(6):474-484
		                        		
		                        			
		                        			This study was conducted to reveal the effects of silicon (Si) application on nutrient utilization efficiency by rice and on soil nutrient availability and soil microorganisms in a hybrid rice double-cropping planting system. A series of field experiments were conducted during 2017 and 2018. The results showed that Si nutrient supply improved grain yield and the utilization rates of nitrogen (N) and phosphorus (P) to an appropriate level for both early and late plantings, reaching a maximum at 23.4 kg/ha Si. The same trends were found for the ratios of available N (AN) to total N (TN) and available P (AP) to total P (TP), the soil microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), microbial biomass phosphorus (MBP), and the ratios of MBN to TN and MBP to TP, at different levels of Si. Statistical analysis further revealed that Si application enhanced rice growth and increased the utilization rate of fertilizer due to an ecological mechanism, i.e., Si supply significantly increased the total amount of soil microorganisms in paddy soil compared to the control. This promoted the mineralization of soil nutrients and improved the availability and reserves of easily mineralized organic nutrients.
		                        		
		                        		
		                        		
		                        	
7.Erratum to: Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation.
Ai-Bin ZHANG ; Yi-Fan PENG ; Jun-Jun JIA ; Yu NIE ; Shi-Yu ZHANG ; Hai-Yang XIE ; Lin ZHOU ; Shu-Sen ZHENG
Journal of Zhejiang University. Science. B 2020;21(2):178-178
		                        		
		                        			
		                        			Erratum to: J Zhejiang Univ-Sci B (Biomed & Biotechnol) 2019 20(7):605-612. https://doi.org/10.1631/jzus.B1900051. The original version of this article unfortunately contained a mistake. In p.605, the number of the Zhejiang Provincial Natural Science Foundation of China (No. Y17H160118) in Funding is incorrect. The correct number should be LY17H160026, which is the approval number of the project, whereas Y17H160118 is the application number of the project.
		                        		
		                        		
		                        		
		                        	
8.Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation.
Ai-Bin ZHANG ; Yi-Fan PENG ; Jun-Jun JIA ; Yu NIE ; Shi-Yu ZHANG ; Hai-Yang XIE ; Lin ZHOU ; Shu-Sen ZHENG
Journal of Zhejiang University. Science. B 2019;20(7):605-612
		                        		
		                        			
		                        			Acute cellular rejection (ACR) remains a major concern after liver transplantation. Predicting and monitoring acute rejection by non-invasive methods are very important for guiding the use of immunosuppressive drugs. Many studies have shown that exosomes and their contents are potential biomarkers for various liver diseases. Here, we identify and validate the role of exosomes and galectin-9 in ACR after liver transplantation. Exosomes were isolated from three sets of paired patients, with and without ACR, and the proteins within the exosomes were isolated and identified. Candidate proteins were then validated using a tissue microarray containing resected liver samples from 73 ACR and 63 non-rejection patients. Finally, protein expression and clinical manifestations were included in Kaplan-Meier survival and Cox regression analyses. Circulating exosomes were isolated from ACR and non-rejection patients and characterized using transmission electron microscopy and western blotting for CD63/CD81. Western blotting experiments revealed higher levels of galectin-9 protein in circulating exosomes from ACR recipients. Immunohistochemical analysis of the tissue microarray showed that the expression of galectin-9 in resected liver was significantly higher in the ACR group than in the non-rejection group (P<0.05). Higher levels of galectin-9 expression in resected livers were associated with poorer prognosis (P<0.05). Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation.
		                        		
		                        		
		                        		
		                        	
9.Deep Learning and Its Applications in Biomedicine.
Chensi CAO ; Feng LIU ; Hai TAN ; Deshou SONG ; Wenjie SHU ; Weizhong LI ; Yiming ZHOU ; Xiaochen BO ; Zhi XIE
Genomics, Proteomics & Bioinformatics 2018;16(1):17-32
		                        		
		                        			
		                        			Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitates the understanding of human health and disease. Developed from artificial neural networks, deep learning-based algorithms show great promise in extracting features and learning patterns from complex data. The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical field. We first introduce the development of artificial neural network and deep learning. We then describe two main components of deep learning, i.e., deep learning architectures and model optimization. Subsequently, some examples are demonstrated for deep learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future directions in the field of deep learning.
		                        		
		                        		
		                        		
		                        			Algorithms
		                        			;
		                        		
		                        			Computational Biology
		                        			;
		                        		
		                        			methods
		                        			;
		                        		
		                        			Diagnostic Imaging
		                        			;
		                        		
		                        			Genomics
		                        			;
		                        		
		                        			methods
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Image Interpretation, Computer-Assisted
		                        			;
		                        		
		                        			methods
		                        			;
		                        		
		                        			Machine Learning
		                        			;
		                        		
		                        			Neural Networks (Computer)
		                        			;
		                        		
		                        			Protein Structure, Secondary
		                        			;
		                        		
		                        			Proteins
		                        			;
		                        		
		                        			metabolism
		                        			
		                        		
		                        	
10.Prognostic Impact of Fasting Plasma Glucose on Mortality and Re-Hospitalization in Patients with Acute Heart Failure.
Yu-Yang CHEN ; Yuan CHEN ; Shu-Min LIANG ; Zi-Zhuo SU ; Xiao-Rong SHU ; Hai-Feng ZHANG ; Siu-Hin WAN ; Jing-Feng WANG ; Shuang-Lun XIE
Chinese Medical Journal 2018;131(17):2032-2040
		                        		
		                        			Background:
		                        			The impact of fasting plasma glucose (FPG) on survival outcomes in patients with acute heart failure (HF) is unclear, and the relationship between intensity of glycemic control of FPG in diabetes mellitus (DM) patients and HF prognosis remains uncertain. This retrospective study aimed to evaluate the prognostic impact of FPG in patients with acute HF.
		                        		
		                        			Methods:
		                        			A total of 624 patients hospitalized with acute HF from October 2000 to April 2014 were enrolled in this study. All patients were stratified by three groups according to their admission FPG levels (i.e., DM, impaired fasting glucose [IFG], and non-DM). All-cause and cardiovascular mortality was the primary end point, and HF re-hospitalization was the secondary end point during follow-up period.
		                        		
		                        			Results:
		                        			A total of 587 patients were included in final analysis. The all-cause mortality rates of patients with DM, IFG, and non-DM were 55.5%, 40.3%, and 39.2%, with significant difference (P = 0.001). Moreover, compared with those with IFG (34.3%) and non-DM (32.6%), patients with DM had significantly higher rate of cardiovascular mortality (45.1%). Multiple Cox regression analysis showed that DM as well as IFG was related to all-cause mortality (DM: hazard ratio [HR] = 1.936, P < 0.001; IFG: HR = 1.672, P = 0.019) and cardiovascular mortality (DM: HR = 1.739, P < 0.001; IFG: HR = 1.817, P = 0.013). However, they were both unrelated to HF re-hospitalization. DM patients with strictly controlled blood glucose (FPG <3.9 mmol/L) had higher all-cause mortality than patients with non-DM, IFG, and DM patients with moderately controlled glucose (3.9 mmol/L≤ FPG <7.0 mmol/L). Likewise, both the primary end point and secondary end point were found to be worse in DM patients with poorly controlled blood glucose (FPG ≥7.0 mmol/L).
		                        		
		                        			Conclusions
		                        			IFG and DM were associated with higher all-cause mortality and cardiovascular mortality in patients with acute HF. The association between mortality and admission FPG in DM patients with acute HF appeared U-shaped.
		                        		
		                        		
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Blood Glucose
		                        			;
		                        		
		                        			Diabetes Mellitus
		                        			;
		                        		
		                        			Diabetes Mellitus, Type 2
		                        			;
		                        		
		                        			Fasting
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Heart Failure
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			mortality
		                        			;
		                        		
		                        			Hospitalization
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Prognosis
		                        			;
		                        		
		                        			Retrospective Studies
		                        			
		                        		
		                        	
            
Result Analysis
Print
Save
E-mail