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Zhou P, Zou Z, Wu W, Zhang H, Wang S, Tu X, Huang W, Chen C, Zhu S, Weng Q, Zheng S. The gut-lung axis in critical illness: microbiome composition as a predictor of mortality at day 28 in mechanically ventilated patients. BMC Microbiol 2023; 23:399. [PMID: 38110878 PMCID: PMC10726596 DOI: 10.1186/s12866-023-03078-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/20/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Microbial communities are of critical importance in the human host. The lung and gut microbial communities represent the most essential microbiota within the human body, collectively referred to as the gut-lung axis. However, the differentiation between these communities and their influence on clinical outcomes in critically ill patients remains uncertain. METHODS An observational cohort study was obtained in the intensive care unit (ICU) of an affiliated university hospital. Sequential samples were procured from two distinct anatomical sites, namely the respiratory and intestinal tracts, at two precisely defined time intervals: within 48 h and on day 7 following intubation. Subsequently, these samples underwent a comprehensive analysis to characterize microbial communities using 16S ribosomal RNA (rRNA) gene sequencing and to quantify concentrations of fecal short-chain fatty acids (SCFAs). The primary predictors in this investigation included lung and gut microbial diversity, along with indicator species. The primary outcome of interest was the survival status at 28 days following mechanical ventilation. RESULTS Sixty-two mechanically ventilated critically ill patients were included in this study. Compared to the survivors, the diversity of microorganisms was significantly lower in the deceased, with a significant contribution from the gut-originated fraction of lung microorganisms. Lower concentrations of fecal SCFAs were detected in the deceased. Multivariate Cox regression analysis revealed that not only lung microbial diversity but also the abundance of Enterococcaceae from the gut were correlated with day 28 mortality. CONCLUSION Critically ill patients exhibited lung and gut microbial dysbiosis after mechanical ventilation, as evidenced by a significant decrease in lung microbial diversity and the proliferation of Enterococcaceae in the gut. Levels of fecal SCFAs in the deceased served as a marker of imbalance between commensal and pathogenic flora in the gut. These findings emphasize the clinical significance of microbial profiling in predicting the prognosis of ICU patients.
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Affiliation(s)
- Piaopiao Zhou
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhiqiang Zou
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Wenwei Wu
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hui Zhang
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Shuling Wang
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Xiaoyan Tu
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Weibin Huang
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Cunrong Chen
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Shuaijun Zhu
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Qinyong Weng
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
| | - Shixiang Zheng
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
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Zou Z, Xu LL, Wang QY, Li Q, Zhu JD, Xu L. Study on the correlation between dietary structure and sleep in patients with insomnia disorder. Eur Rev Med Pharmacol Sci 2023; 27:11876-11881. [PMID: 38164851 DOI: 10.26355/eurrev_202312_34786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Insomnia disorder (ID) is a persistent difficulty sleeping, often accompanied by anxiety and depression, which seriously reduces a person's quality of life. Dietary changes in insomnia patients have been a concern. To explore the rationality of diet in patients with ID and its correlation with insomnia in ID patients. PATIENTS AND METHODS This study included 216 patients diagnosed with ID and 197 individuals as the healthy control (HC) group who attended the neurology outpatient clinic or sleep clinic at Henan Provincial People's Hospital between September 2018 and November 2019. Through the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD), sleep and mental conditions were assessed in the ID and HC groups. The dietary intake structure of both groups was observed using the food frequency table. Meanwhile, the relationship between dietary intake and sleep quality was analyzed based on the logistics regression. RESULTS Individuals in the ID group had significantly higher age, weight, and body mass index compared to the HC group (p<0.01). Individuals within the ID category demonstrated a heightened daily consumption of carbohydrates, grains, tubers, and legumes relative to the healthy control group. In contrast, the intake levels of vegetables, fruits, and nuts were diminished compared to the HC group, with this difference being statistically significant (p<0.01). A positive correlation was observed between the daily consumption of grains, tubers, and legumes and PSQI scores. Conversely, a negative association was found between daily consumption of vegetables and fruits. CONCLUSIONS ID patients exhibit an elevated intake of carbohydrates, whereas the consumption of vegetables, fruits, and nuts is deficient in comparison to the healthy cohort, implying that a distorted dietary structure might be a contributing factor to ID onset. Sensible and scientific dietary guidance is of considerable significance in preventing the onset of ID and facilitating its management. However, the derived conclusions warrant further extensive research.
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Affiliation(s)
- Z Zou
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
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Zhang J, Peng G, Ding Q, Qin Y, Wu B, Zhang Z, Zou Z, Shi L, Hong X, Han J, Liang Z, Yang K, Huang J. Standard Therapy vs. Individualized Therapy in Elderly Locally Advanced Nasopharyngeal Carcinoma: A Real-World Study. Int J Radiat Oncol Biol Phys 2023; 117:e589. [PMID: 37785782 DOI: 10.1016/j.ijrobp.2023.06.1937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Concurrent chemoradiotherapy (CRT) with/without induction chemotherapy has been the standard therapy (ST) for locally advanced nasopharyngeal carcinoma (LA-NPC). However, most patients supporting these clinical trials were younger than 65 years of age. For the toxicity of CRT and the poor tolerance of elderly patients, it is still controversial whether ST could bring the most promising survival benefits for elderly NPC compared with individualized therapy (IT). Thus, in this real-world study we compared the survival and safety of ST with IT in elderly LA-NPC to explore an effective and tolerable treatment strategy for elderly LA-NPC. MATERIALS/METHODS A total of 109 newly diagnosed elderly LA-NPC (>65 years old) from Jan. 2013-Jul. 2020 were retrospectively enrolled and divided into the ST group and IT group according to the original treatment tendency. ST refers to CRT with/without induction chemotherapy. IT group included patients not suitable for CRT and were given individualized treatment fully discussed by at least two oncologists from our head and neck team. A 1:1 propensity score matching (PSM) generated a matched cohort of ST and IT. The survivals and treatment related toxicities were compared between the two groups. RESULTS There were 46 cases in the ST group and 63 cases in the IT group. The 5-year overall survival (OS) rate, cancer-specific survival (CSS) rate, progression- free survival (PFS) rate, local recurrence-free survival (LRFS) rate and distant metastasis-free survival (DMFS) rate were 68.64%, 76.42%, 73.69%, 85.67% and 86.82%, respectively. By 1:1PSM, 35 cases in each group were matched. No significant differences of OS, CSS, PFS, LRFS and DMFS were found between ST and IT groups in the PSM-matched cohorts (P = 0.87, P = 0.79, P = 0.51, P = 0.81 and P = 0.24, respectively). Compared with patients in the ST group, cases received IT were associated with less severe acute toxicities including anemia, leucopenia, neutropenia, and thrombocytopenia. CONCLUSION For elderly LA-NPC, IT had similar survivals while less severe toxicities compared with ST, which revolutionarily challenged the role of ST for elderly LA-NPC. In the future, more studies are need to explore a less toxic treatment modality with noninferior efficacy for elderly LA-NPC.
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Affiliation(s)
- J Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - G Peng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Ding
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - B Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Zou
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Shi
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Hong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Han
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Liang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - K Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li Z, Guo D, Huang K, Ma G, Liu X, Wu Y, Yuan J, Tao Z, Wang B, Wang X, Zou Z, Yu N, Yu G, Xue J, Liu Z, Ji W, Li J, Guo Y. Robust Weak Antilocalization Effect Up to ∼120 K in the van der Waals Crystal Fe 5-xGeTe 2 with Near-Room-Temperature Ferromagnetism. J Phys Chem Lett 2023:5456-5465. [PMID: 37288804 DOI: 10.1021/acs.jpclett.3c00380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The van der Waals Fe5-xGeTe2 is a 3d ferromagnetic metal with a high Curie temperature of 275 K. We report herein the observation of an exceptional weak antilocalization (WAL) effect that can persist up to 120 K in an Fe5-xGeTe2 nanoflake, indicating the dual nature with both itinerant and localized magnetism of 3d electrons. The WAL behavior is characterized by the magnetoconductance peak around zero magnetic field and is supported by the calculated localized nondispersive flat band around the Fermi level. The peak to dip crossover starting around 60 K in magnetoconductance is visible, which could be ascribed to temperature-induced changes in Fe magnetic moments and the coupled electronic band structure as revealed by angle-resolved photoemission spectroscopy and first-principles calculations. Our findings would be instructive for understanding the magnetic exchanges in transition metal magnets as well as for the design of next-generation room-temperature spintronic devices.
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Affiliation(s)
- Zhengxian Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Deping Guo
- Department of Physics and Beijing Key Laboratory of Optoelectronic Functional Materials & Micro-nano Devices, Renmin University of China, Beijing 100190, China
| | - Kui Huang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Guodong Ma
- National Laboratory of Solid State Microstructures and School of Physics, Nanjing University, Nanjing 210093, China
| | - Xiaolei Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yueshen Wu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jian Yuan
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zicheng Tao
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Binbin Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xia Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhiqiang Zou
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Na Yu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Geliang Yu
- National Laboratory of Solid State Microstructures and School of Physics, Nanjing University, Nanjing 210093, China
| | - Jiamin Xue
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhongkai Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, China
| | - Wei Ji
- Department of Physics and Beijing Key Laboratory of Optoelectronic Functional Materials & Micro-nano Devices, Renmin University of China, Beijing 100190, China
| | - Jun Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, China
| | - Yanfeng Guo
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, China
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Wang L, Liu Y, Qu R, Zou Z. Serum mAST/ALT ratio had high predictive value for adverse outcome of severe fever with thrombocytopenia syndrome with severe condition. BMC Infect Dis 2023; 23:168. [PMID: 36932323 PMCID: PMC10022549 DOI: 10.1186/s12879-023-08121-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 02/27/2023] [Indexed: 03/19/2023] Open
Abstract
BACKGROUND Severe fever with thrombocytopenia syndrome (SFTS) usually demonstrates multi-organ injury with a high mortality rate. This study aimed to investigate associations of serum aspartate/alanine aminotransferase (AST)/ALT, cytosolic AST (cAST)/ALT and mitochondrial AST (mAST)/ALT ratios with the prognosis of SFTS patients. METHODS A total of 355 confirmed SFTS patients were included. Clinical and laboratory data were compared between survivors and nonsurvivors. Logistic regression analysis was used to assess the independent risk factors for fatality in all patients and those admitted to the intensive care unit (ICU). The predictive values of the risk factors and constructed risk models were evaluated. RESULTS Mean age and biochemical parameters were significantly greater in nonsurvivors than in survivors. In ICU patients, the three ratios, high-sensitivity troponin I (hsTnI), creatine kinase (CK), lactate dehydrogenase (LDH) and α-hydroxybutyrate dehydrogenase (α-HBDH) were elevated markedly in nonsurvivors than in survivors. Multivariate logistic regression analysis showed that age, three ratios and α-HBDH were independent risk factors for mortality in all patients. Only the three ratios were independent risk factors for death in ICU patients. Risk Models (M1, M2 and M3) and simplified models (sMs) containing the three ratios respectively had comparatively high predictive values for fatality in all patients with area under ROC curves (AUCs) > 0.85. In ICU patients, mAST/ALT ratio had the highest predictive value, sensitivity and odds ratio (OR) for mortality among three ratios. CONCLUSION AST/ALT, cAST/ALT and mAST/ALT ratios were associated with unfavorable clinical outcome of SFTS. The prognostic value of mAST/ALT ratio was higher in severe cases.
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Affiliation(s)
- Li Wang
- Clinical Laboratory, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, 264001, Yantai, Shandong, The People's Republic of China.
| | - Youde Liu
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, 264001, Yantai, Shandong, The People's Republic of China
| | - Renliang Qu
- Clinical Laboratory, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, 264001, Yantai, Shandong, The People's Republic of China
| | - Zhiqiang Zou
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, 264001, Yantai, Shandong, The People's Republic of China
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Yu Y, Li Q, Cao SA, Dai XO, Cao MY, Qiu ZH, Lu XF, Zou Z, Li YH. Temperature management of intraoperative cardiopulmonary bypass in valve replacement surgery: a retrospective analysis of the impact on postoperative organ function. Eur Rev Med Pharmacol Sci 2023; 27:924-934. [PMID: 36808338 DOI: 10.26355/eurrev_202302_31185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
OBJECTIVE This study aimed to systematically analyze the effects of cardiopulmonary bypass (CPB) at different temperatures on the function of different organs in patients after heart valve replacement and to investigate its safety and feasibility. PATIENTS AND METHODS The data of 275 heart valve replacement surgery patients who underwent static suction compound anesthesia under CPB between February 2018 and October 2019 were retrospectively analyzed and divided into normothermic CPB anesthesia group (group 0), shallow hypothermic CPB anesthesia group (group 1), medium hypothermic CPB anesthesia group (group 2), and deep hypothermic CPB anesthesia group (group 3) according to the different intraoperative CPB temperatures. The basic preoperative conditions, cardiac resuscitation, number of defibrillations, postoperative ICU stay, postoperative hospital stay, and postoperative evaluation of different organ functions, such as heart, lung, and kidney functions, were analyzed and studied in each group. RESULTS The comparison of preoperative and postoperative pulmonary artery pressure and left ventricular internal diameter (LVD) was statistically significant in each group (p < 0.05), and the postoperative pulmonary function pressure was statistically significant in group 0 compared with groups 1 and 2 (p < 0.05). The preoperative glomerular filtration rate (eGFR) and the eGFR on the first postoperative day were statistically significant in all the groups (p < 0.05), and the eGFR on the first postoperative day in groups 1 and 2 were statistically significant (p < 0.05). CONCLUSIONS The control of appropriate temperature during CPB was associated with the recovery of organ function in patients after valve replacement. Intravenous compound general anesthesia with superficial hypothermic CPB might be more beneficial in recovering cardiac, pulmonary, and renal functions.
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Affiliation(s)
- Y Yu
- Department of Anesthesiology, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China.
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Li B, Zou Z, Zhang W, Bian H, Li Y. Clinical application of bronchial high-frequency ventilation in 2-port thoracoscopic segmentectomy. Medicine (Baltimore) 2022; 101:e31611. [PMID: 36316920 PMCID: PMC9622583 DOI: 10.1097/md.0000000000031611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
To evaluate the safety and clinical application of a computer-aided surgery system (CAS) combined with high-frequency bronchial ventilation in 2-port thoracoscopic anatomical segmentectomy. A total of 301 patients who underwent 2-port thoracoscopic segmentectomy between January 1, 2019 and March 1, 2022 in the 960th Hospital of the People's Liberation Army and the Department of Thoracic Surgery of Zibo Municipal Hospital were retrospectively analyzed. The experimental and control groups were created according to the different methods of appearing the intersegmental plane of the lung. The experimental group comprised 152 patients who underwent CAS reconstruction combined with high-frequency ventilation, and the control group comprised 149 patients who underwent CAS reconstruction combined with expansion collapse. The characteristics of the patients, including age, sex, smoking history, forced expiratory volume in 1 second/forced vital capacity, Maximal ventilation, diameter of pulmonary nodules, intraoperative blood loss, postoperative drainage volume, drainage tube removal time, length of hospital stay after extubation, postoperative complication rate, operation time and appearance time of the intersegmental plane, were compared between the 2 groups. All patients completed the operation between high-frequency bronchial ventilation and expansion collapse group. There was no significant difference in Forced expiratory volume in 1 second/Forced vital capacity [(101.05 ± 11.86) vs (101.86 ± 11.61)], maximum expiratory volume [(86.36 ± 17.59 L) vs (85.28 ± 17.68 L)], the diameter of lung nodules [(13.61 ± 3.51 cm) vs (13.21 ± 3.41 cm)], intraoperative blood loss [(47.50 ± 45.90 mL) vs (48.49 ± 34.65 mL)], postoperative drainage volume [(425.16 ± 221.61 mL) vs (444.70 ± 243.72 mL)], drainage tube removal time [(3.88 ± 1.85 days) vs (3.43 ± 1.81 days)], or postoperative hospital stay [(6.07 ± 2.14 days) vs (5.82 ± 1.88 days) between the experimental group and the control group (P > .05)]. There were significant differences in operation time [(95.05 ± 26.85 min) vs (117.85 ± 31.70 min), P = .017] and intersegmental plane appearance time [(2.37 ± 1.03 min) vs (14.20 ± 3.23 min), P < .001]. High-frequency bronchial ventilation is safe and feasible when used in quickly and accurately identifying the intersegmental plane and is worthy of clinical application in 2-port thoracoscopic segmentectomy.
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Affiliation(s)
- Bing Li
- Weifang Medical College, Shandong Province, China
- Zibo Municipal Hospital, Shandong Province, China
- The 960th Hospital of the joint Service Surport Force of the Chinese People’s Liberation Army, Shandong Province, China
| | - Zhiqiang Zou
- The 960th Hospital of the joint Service Surport Force of the Chinese People’s Liberation Army, Shandong Province, China
| | - Wei Zhang
- Zibo Municipal Hospital, Shandong Province, China
| | - Hongchun Bian
- The 960th Hospital of the joint Service Surport Force of the Chinese People’s Liberation Army, Shandong Province, China
| | - Yucai Li
- Zibo Municipal Hospital, Shandong Province, China
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Zou Z, Cheng Q, Li Z, Gao W, Sun W, Liu B, Guo Y, Liu J. [microRNA let-7g-3p regulates proliferation, migration, invasion and apoptosis of bladder cancer cells by targeting HMGB2]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1335-1343. [PMID: 36210706 DOI: 10.12122/j.issn.1673-4254.2022.09.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the molecular mechanism by which microRNA let-7g-3p regulates biological behaviors of bladder cancer cells. METHODS The expression levels of let-7g-3p in bladder cancer and adjacent tissues, normal bladder epithelial cells (HUC cells) and bladder cancer cells (T24, 5637 and EJ cells) were detected using qRT- PCR. T24 cells were transfected with let-7g-3p mimic or inhibitor, and the changes in cell proliferation, migration, invasion, and apoptosis were examined. Transcriptome sequencing was carried out in cells overexpressing let-7g-3p, and the results of bioinformatics analysis, double luciferase reporter gene assay, qRT-PCR and Western blotting confirmed that HMGB2 gene was the target gene of let-7g-3p. The expression of HMGB2 was examined in HUC, T24, 5637 and EJ cells, and in cells with HMGB2 knockdown, the effect of let-7g-3p knockdown on the biological behaviors were observed. RESULTS qRT-qPCR confirmed that let-7g-3p expression was significantly lower in bladder cancer tissues and cells (P < 0.01). Overexpression of let-7g-3p inhibited cell proliferation, migration and invasion, and promoted cell apoptosis, while let-7g-3p knock-down produced the opposite effects. Bioinformatics and transcriptome sequencing results showed that HMGB2 was the key molecule that mediate the effect of let-7g-3p on bladder cancer cells. Luciferase reporter gene assay, qRT-PCR and Western blotting all confirmed that HMGB2 was negatively regulated by let-7g-3p (P < 0.01). Knocking down HMGB2 could partially reverse the effect of let-7g-3p knockdown on the biological behaviors of the bladder cancer cells. CONCLUSION The microRNA let-7g-3p can inhibit the biological behavior of bladder cancer cells by negatively regulating HMGB2 gene.
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Affiliation(s)
- Z Zou
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Q Cheng
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Z Li
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - W Gao
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - W Sun
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - B Liu
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Y Guo
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - J Liu
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
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Liu W, Xu C, Zou Z, Weng Q, Xiao Y. Sestrin2 suppresses ferroptosis to alleviate septic intestinal inflammation and barrier dysfunction. Immunopharmacol Immunotoxicol 2022; 45:123-132. [PMID: 36066109 DOI: 10.1080/08923973.2022.2121927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Alterations in intestinal function play a crucial role in the pathogenesis of sepsis, and the repair of the intestinal barrier is a potential strategy for the treatment of sepsis. Sestrin2 (SESN2), a highly conserved stress-responsive protein, can be induced in response to stress. AIM This paper aimed to explore the role and mechanism of SESN2 in septic intestinal dysfunction. Methods: Blood samples were collected from patients with septic intestinal dysfunction, and Caco-2 cells were subjected to lipopolysaccharide (LPS) to construct in vitro models. The expression level of SESN2 was determined in the blood samples and cells. The impacts of SESN2 overexpression on cell inflammation, oxidative stress, barrier integrity, and MAPK/Nrf2 signaling were evaluated. To determine the mediated role of MAPK signaling and ferroptosis, AMPK inhibitor (Compound C) and ferroptosis inducer (erastin) were separately used to treat cells, and the influences on the above aspects in cells were assessed. RESULTS The expression level of SESN2 was down-regulated in patients with septic intestinal dysfunction and LPS-induced cells. SESN2 overexpression was found to suppress cell inflammation and oxidative stress, maintain barrier integrity and activate AMPK/Nrf2 signaling. Following the AMPK signaling was inhibited or the ferroptosis was triggered, the effects of SESN2 overexpression on the cells were both reversed. CONCLUSION Reduced SESN2 contributed to inflammatory response and barrier dysfunction in septic intestinal dysfunction by promoting ferroptosis via activating the AMPK/Nrf2 signaling pathway.
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Affiliation(s)
- Wei Liu
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China
| | - Chanchan Xu
- Department of Internal Medicine, Shanghai Raffles Hospital, Shanghai 201208, P.R. China
| | - Zhiqiang Zou
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China
| | - Qinyong Weng
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China
| | - Ying Xiao
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China
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Zou Z, Hao X, Xing P, Li J. EP08.02-007 Disease Burden and Clinical Outcomes of Advanced ROS1 Positive NSCLC with Different Fusion Partners. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Zou Z, Hao X, Xing P, Li J. EP08.02-008 Tumor Invasiveness and Clinical Outcomes between Metastatic ROS-1 and ALK Positive NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Zou Z, Yang H, Zhang S, Chi W, Wang X, Liu Z. Nitrogen removal performance and microbial community analysis of immobilized biological fillers in rare earth mine wastewater. Biochem Eng J 2022. [DOI: 10.1016/j.bej.2022.108559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Zou Z, Nguyen Thi PA, Xia C, Ding S, Luo P. Genetic alteration profiling of Chinese lung adenocarcinoma: A targeted and immunotherapy biomarker analysis. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e20572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20572 Background: Lung adenocarcinoma is the most common primary lung cancer, comprises about 30% of lung cancers. So far, little is known about an in-depth molecular characterization for lung adenocarcinoma in Chinese patients. The genomic characteristics, microsatellite instability (MSI) status, programmed cell death-1 (PD-L1) and tissue tumor mutational burden (tTMB) in Chinese lung adenocarcinoma patients will benefit to understanding drug resistance-related mechanisms. Methods: 591 Formalin-Fixed Paraffin-Embedded (FFPE) lung adenocarcinoma samples were collected and detected by Next Generation Sequencing 603-gene panel. The biomarkers of immunotherapy (TMB-High [≥10/Mb], MSI-High, and PD-L1 22C3 [TPS] were also calculated. Results: Of 591 patients, 312 patients (52.8%) were male and 279 (47.2%) patients were female. The median age of the patients was 60.7 (range 28-99). The most commonly mutated genes were EGFR (45.5%), TP53 (22.1%), KRAS (7.8%), PIK3CA (5.3%), ERBB2 (2.5%), BRAF (2.2%), CTNNB1 (1.5%), SMAD4 (1.5%),NRAS (1.0%), SMAD4 (1.5%), NRAS (1%), ATM (1%), RB1 (1%), NF1(1%), IDH2 (0.67%). Three genes mutations (EGFR, TP53, KRAS) were identified significantly different between male and female. EGFRmutations were significantly more frequent in females (54.12%) than in males (37.5%;p = 0.000051). In contrast, TP53 mutations were significantly more frequent in males (11.53%) than in females. KRASmutations were significantly more frequent in males (25.6%) than in females (17.9%;p = 0.023). (3.6%;p = 0.0003). The aging of patients was associated with a higher PTEN mutations (< 50 years-old, p = 0.039), RAF1 mutations (> 76 years-old, p = 0.038), BRCA1 mutations (< 42 years-old, p = 0.032). The average of TMB was 5.3 mut/Mb (range 0-54.8). Immunotherapy markers were presented in 36.4% of cases (TMB-High in 15.91%, PD-L1+(TPS > 1%) in 47.12%,PD-L1+(TPS > 50%) in 5.17%, MSI-High in 0.17%). PD-L1 expression and TMB score were not significantly correlated in lung adenocarcinoma. The TMB score was associated with a higher TP53 mutations(TMB > 6.6, p < 0.0001), KRAS(TMB > 6.1, p = 0.034), NF1(TMB > 9.8, p = 0.0018), IDH2(TMB > 11.3, p = 0.0028). Conclusions: These findings may be helpful for identifying therapeutic targets strategies in lung adenocarcinoma patients that were previously unavailable to clinicians in China.
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Affiliation(s)
- Zhiqiang Zou
- The 960 Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | | | | | - ShouTai Ding
- Shanghai Topgen Biomedical Technology CO., LTD, Shanghai, China
| | - Peng Luo
- Shanghai Topgen Company, Shanghai, China
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14
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Ke L, Lin J, Doig GS, van Zanten ARH, Wang Y, Xing J, Zhang Z, Chen T, Zhou L, Jiang D, Shi Q, Lin J, Liu J, Cheng A, Liang Y, Gao P, Sun J, Liu W, Yang Z, Zhang R, Xing W, Zhang A, Zhou Z, Zhou T, Liu Y, Tong F, Wang Q, Pan A, Huang X, Fan C, Lu W, Shi D, Wang L, Li W, Gu L, Xie Y, Sun R, Guo F, Han L, Zhou L, Zheng X, Shan F, Liu J, Ai Y, Qu Y, Li L, Li H, Pan Z, Xu D, Zou Z, Gao Y, Yang C, Kou Q, Zhang X, Wu J, Qian C, Zhang W, Zhang M, Zong Y, Qin B, Zhang F, Zhai Z, Sun Y, Chang P, Yu B, Yu M, Yuan S, Deng Y, Zhao L, Zang B, Li Y, Zhou F, Chen X, Shao M, Wu W, Wu M, Zhang Z, Li Y, Guo Q, Wang Z, Gong Y, Song Y, Qian K, Feng Y, Fu B, Liu X, Li Z, Gong C, Sun C, Yu J, Tang Z, Huang L, Ma B, He Z, Zhou Q, Yu R, Tong Z, Li W. Correction to: Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial. Crit Care 2022; 26:115. [PMID: 35449019 PMCID: PMC9022261 DOI: 10.1186/s13054-022-03982-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Lu Ke
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305, Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China
- National Institute of Healthcare Data Science, Nanjing University, Nanjing, China
| | - Jiajia Lin
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305, Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China
| | - Gordon S Doig
- Northern Clinical School, Royal North Shore Hospital, University of Sydney, Sydney, Australia
| | - Arthur R H van Zanten
- Department of Intensive Care Medicine, Gelderse Vallei Hospital, Willy Brandtlaan 10, 6716 RP, Ede, The Netherlands
| | - Yang Wang
- Department of Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Zhongheng Zhang
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tao Chen
- Tropical Clinical Trials Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Lixin Zhou
- First People's Hospital of Foshan, Foshan, China
| | - Dongpo Jiang
- Daping Hospital, Army Medical University, Chongqing, China
| | - Qindong Shi
- First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Jiandong Lin
- First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jun Liu
- Suzhou Municipal Hospital, Suzhou, China
| | - Aibin Cheng
- North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | - Yafeng Liang
- Qindao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, China
| | - Peiyang Gao
- Chengdu University of Traditional Chinese Medicine Affiliated Hospital, Chengdu, China
| | - Junli Sun
- Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
| | - Wenming Liu
- Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Zhenyu Yang
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Wei Xing
- Department of Intensive Care Medicine, The Third Xiangya Hospital of Central South University, Changsha, China
| | - An Zhang
- The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhigang Zhou
- First People's Hospital of Kunming, Kunming, China
| | | | - Yang Liu
- Tangshan Gongren Hospital, Tangshan, China
| | - Fei Tong
- Hebei Medical University Second Affiliated Hospital, Shijiazhuang, China
| | | | - Aijun Pan
- Anhui Provincial Hospital, Hefei, China
| | - Xiaobo Huang
- Department of Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Chuming Fan
- First People's Hospital of Yunnan, Kunming, China
| | - Weihua Lu
- Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Dongwu Shi
- Shanxi Provincial People's Hospital, Taiyuan, China
| | - Lei Wang
- Shanxi Medical University First Affiliated Hospital, Taiyuan, China
| | - Wei Li
- The People's Hospital of Fujian Province, Fuzhou, China
| | - Liming Gu
- People's Hospital of Yuxi City, Yuxi, China
| | | | - Rongqing Sun
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng Guo
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Han
- People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Lihua Zhou
- Affiliated Hospital of Inner Mongolia Medical College, Huhehaote, China
| | | | - Feng Shan
- Qindao University Medical College Affiliated Hospital, Qindao, China
| | - Jianbo Liu
- Inner Mongolia People's Hospital, Huhehaote, China
| | - Yuhang Ai
- Xiangya Hospital Central South University, Changsha, China
| | - Yan Qu
- Qingdao Municipal Hospital Group, Qingdao, China
| | - Liandi Li
- Qindao University Medical College Affiliated Hospital, Qindao, China
| | - Hailing Li
- No.971 Hospital of People's Liberation Army Navy, Qingdao, China
| | - Zhiguo Pan
- General Hospital of Southern Theatre Command, Guangzhou, China
| | - Donglin Xu
- Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Zhiqiang Zou
- Union Hospital of Fujian Medical University, Fuzhou, China
| | - Yan Gao
- The General Hospital of Shenyang Military, Shenyan, China
| | - Chunli Yang
- Jiangxi Provincial People's Hospital, Nanchang, China
| | - Qiuye Kou
- The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xijing Zhang
- Department of Anaesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Jinglan Wu
- Shenzhen Nanshan People's Hospital, Shenzhen, China
| | - Chuanyun Qian
- Kuming Medical University First Affiliated Hospital, Kuming, China
| | - Weixing Zhang
- Peking University Shenzhen Hospital, Guandong, China
| | - Minjie Zhang
- General ICU, Jinan University First Affiliated Hospital, Jinan, China
| | - Yuan Zong
- Shaanxi Provincial People's Hospital, Xi'an, China
| | - Bingyu Qin
- Henan Provincial People's Hospital, Zhengzhou, China
| | | | - Zhe Zhai
- The Fourth Hospital of Harbin Medical University, Harbin, China
| | - Yun Sun
- Anhui Medical University Second Affiliated Hospital, Hefei, China
| | - Ping Chang
- Southern Medical University Zhujiang Hospital, Guangzhou, China
| | - Bo Yu
- Department of Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, 410000, Hunan, China
| | - Min Yu
- First People's Hospital of Yichang, Yichang, China
| | - Shiying Yuan
- Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Yijun Deng
- Yancheng First People's Hospital, Yancheng, China
| | - Liyun Zhao
- Guangdong Second Traditional Chinese Medicine Hospital, Guangzhou, China
| | - Bin Zang
- China Medical University Affiliated Shengjing Hospital, Shenyang, China
| | - Yuanfei Li
- Changsha Central Hospital Affiliated to University of South China, Changsha, China
| | - Fachun Zhou
- Chongqing Medical University First Affiliated Hospital, Chongqing, China
| | - Xiaomei Chen
- Department of Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Shao
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | | | - Ming Wu
- Health Science Center, The Second People's Hospital of Shenzhen, First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | | | - Yimin Li
- First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Guo
- First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhiyong Wang
- Hebei Medical University, Third Affiliated Hospital, Shijiazhuang, China
| | - Yuanqi Gong
- The Second Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Yunlin Song
- The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Kejian Qian
- The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Yongjian Feng
- Neurosurgical ICU, Jinan University First Affiliated Hospital, Jinan, China
| | - Baocai Fu
- Yantai Mountain Hospital, Yantai, China
| | - Xueyan Liu
- Shenzhen People's Hospital, Shenzhen, China
| | - Zhiping Li
- Hunan Provincial People's Hospital, Changsha, China
| | - Chuanyong Gong
- Tianjing Hospital of Integration of Chinese and Western Medicine, Tianjing, China
| | - Cheng Sun
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jian Yu
- The Second Hospital of Dalian Medical University, Liaoning, China
| | - Zhongzhi Tang
- Wuhan General Hospital of Guangzhou Military Region, Wuhan, China
| | - Linxi Huang
- Shantou University Medical College First Affiliated Hospital, Shantou, China
| | - Biao Ma
- Jining Medical College Affiliated Hospital, Jining, China
| | - Zhijie He
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | | | - Rongguo Yu
- Fujian Provincial Hospital, Fujian, China
| | - Zhihui Tong
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305, Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China.
| | - Weiqin Li
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305, Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China.
- National Institute of Healthcare Data Science, Nanjing University, Nanjing, China.
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Wang L, Liu Y, Yu H, Ding K, Zou Z. Low serum free triiodothyronineis level predicts worse outcome of patients with severe fever with thrombocytopenia syndrome. BMC Infect Dis 2022; 22:391. [PMID: 35443632 PMCID: PMC9020067 DOI: 10.1186/s12879-022-07367-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 04/05/2022] [Indexed: 11/25/2022] Open
Abstract
Background Severe fever with thrombocytopenia syndrome (SFTS) caused by phlebovirus results in neuropsychiatric symptoms, multiorgan dysfunction and significant mortality. We aimed to evaluate the thyroid function in SFTS patients, elucidate its association with neuropsychiatric manifestations, disease severity, and prognosis, retrospectively. Methods Serum levels of free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) were compared between survivors and non-survivors, between those with and without nervous symptoms at baseline, and at baseline and remission. Logistic regression analysis was utilized to determine independent risk factors for mortality. A risk model based on risk factors was constructed and its prognostic value was evaluated by receiver operating characteristic (ROC) curve. Results A total of 207 SFTS cases with thyroid function data enrolled from January 2016 to January 2020 were included with 34 patients (16.4%) died. Baseline serum levels of FT3, TSH (p < 0.001), and FT3/FT4 ratio (p < 0.05) were significantly decreased in nonsurvivors than in survivors. Prevalence of low serum FT3 in nonsurvivors (81.8%) was greater than in survivors (41.3%). FT3 level (p < 0.001) was markedly reduced in patients with central neurological symptoms than those without. FT3 and FT4 levels were increased in remission than at baseline (p < 0.001). Logistic regression analysis showed that age (OR 0.92, 95% CI 0.868–0.958) and serum FT3 level (OR 3.055, 95% CI 1.494–6.248) were the independent risk factors for mortality. A risk model based on age and FT3 had a high predictive value for mortality (AUC = 0.818, 95% CI 0.795–0.868) at a cutoff value of > 3.39. Conclusions Low serum FT3 level was associated with a worse outcome of SFTS patients.
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Affiliation(s)
- Li Wang
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, Yantai, 264001, Shandong, The People's Republic of China.
| | - Youde Liu
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, Yantai, 264001, Shandong, The People's Republic of China
| | - Haifeng Yu
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, Yantai, 264001, Shandong, The People's Republic of China
| | - Kun Ding
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, Yantai, 264001, Shandong, The People's Republic of China
| | - Zhiqiang Zou
- Infectious Disease Department, Qishan Hospital of Yantai, 62 Huanshan Road, Zhifu District, Yantai, 264001, Shandong, The People's Republic of China.
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Zou Z, Hao X, Li Y, Xing P, Ying J, Li J. 69P Tumor invasiveness, response to ALK inhibitors and resistance mechanism in NSCLC with different ALK variants. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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17
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Ke L, Lin J, Doig GS, van Zanten ARH, Wang Y, Xing J, Zhang Z, Chen T, Zhou L, Jiang D, Shi Q, Lin J, Liu J, Cheng A, Liang Y, Gao P, Sun J, Liu W, Yang Z, Zhang R, Xing W, Zhang A, Zhou Z, Zhou T, Liu Y, Tong F, Wang Q, Pan A, Huang X, Fan C, Lu W, Shi D, Wang L, Li W, Gu L, Xie Y, Sun R, Guo F, Han L, Zhou L, Zheng X, Shan F, Liu J, Ai Y, Qu Y, Li L, Li H, Pan Z, Xu D, Zou Z, Gao Y, Yang C, Kou Q, Zhang X, Wu J, Qian C, Zhang W, Zhang M, Zong Y, Qin B, Zhang F, Zhai Z, Sun Y, Chang P, Yu B, Yu M, Yuan S, Deng Y, Zhao L, Zang B, Li Y, Zhou F, Chen X, Shao M, Wu W, Wu M, Zhang Z, Li Y, Guo Q, Wang Z, Gong Y, Song Y, Qian K, Feng Y, Fu B, Liu X, Li Z, Gong C, Sun C, Yu J, Tang Z, Huang L, Ma B, He Z, Zhou Q, Yu R, Tong Z, Li W. Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial. Crit Care 2022; 26:46. [PMID: 35172856 PMCID: PMC8848648 DOI: 10.1186/s13054-022-03921-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/31/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Previous cluster-randomized controlled trials evaluating the impact of implementing evidence-based guidelines for nutrition therapy in critical illness do not consistently demonstrate patient benefits. A large-scale, sufficiently powered study is therefore warranted to ascertain the effects of guideline implementation on patient-centered outcomes. METHODS We conducted a multicenter, cluster-randomized, parallel-controlled trial in intensive care units (ICUs) across China. We developed an evidence-based feeding guideline. ICUs randomly allocated to the guideline group formed a local "intervention team", which actively implemented the guideline using standardized educational materials, a graphical feeding protocol, and live online education outreach meetings conducted by members of the study management committee. ICUs assigned to the control group remained unaware of the guideline content. All ICUs enrolled patients who were expected to stay in the ICU longer than seven days. The primary outcome was all-cause mortality within 28 days of enrollment. RESULTS Forty-eight ICUs were randomized to the guideline group and 49 to the control group. From March 2018 to July 2019, the guideline ICUs enrolled 1399 patients, and the control ICUs enrolled 1373 patients. Implementation of the guideline resulted in significantly earlier EN initiation (1.20 vs. 1.55 mean days to initiation of EN; difference - 0.40 [95% CI - 0.71 to - 0.09]; P = 0.01) and delayed PN initiation (1.29 vs. 0.80 mean days to start of PN; difference 1.06 [95% CI 0.44 to 1.67]; P = 0.001). There was no significant difference in 28-day mortality (14.2% vs. 15.2%; difference - 1.6% [95% CI - 4.3% to 1.2%]; P = 0.42) between groups. CONCLUSIONS In this large-scale, multicenter trial, active implementation of an evidence-based feeding guideline reduced the time to commencement of EN and overall PN use but did not translate to a reduction in mortality from critical illness. TRIAL REGISTRATION ISRCTN, ISRCTN12233792 . Registered November 20th, 2017.
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Affiliation(s)
- Lu Ke
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China
- National Institute of Healthcare Data Science, Nanjing University, Nanjing, China
| | - Jiajia Lin
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China
| | - Gordon S Doig
- Northern Clinical School, Royal North Shore Hospital, University of Sydney, Sydney, Australia
| | - Arthur R H van Zanten
- Department of Intensive Care Medicine, Gelderse Vallei Hospital, Willy Brandtlaan 10, 6716 RP, Ede, The Netherlands
| | - Yang Wang
- Department of Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Zhongheng Zhang
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tao Chen
- Tropical Clinical Trials Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Lixin Zhou
- First People's Hospital of Foshan, Foshan, China
| | - Dongpo Jiang
- Daping Hospital, Army Medical University, Chongqing, China
| | - Qindong Shi
- First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Jiandong Lin
- First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jun Liu
- Suzhou Municipal Hospital, Suzhou, China
| | - Aibin Cheng
- North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | - Yafeng Liang
- Qindao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, China
| | - Peiyang Gao
- Chengdu University of Traditional Chinese Medicine Affiliated Hospital, Chengdu, China
| | - Junli Sun
- Luoyang Central Hospital Affiliated To Zhengzhou University, Luoyang, China
| | - Wenming Liu
- Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Zhenyu Yang
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Wei Xing
- Department of Intensive Care Medicine, The Third Xiangya Hospital of Central South University, Changsha, China
| | - An Zhang
- The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhigang Zhou
- First People's Hospital of Kunming, Kunming, China
| | | | - Yang Liu
- Tangshan Gongren Hospital, Tangshan, China
| | - Fei Tong
- Hebei Medical University Second Affiliated Hospital, Shijiazhuang, China
| | | | - Aijun Pan
- Anhui Provincial Hospital, Hefei, China
| | - Xiaobo Huang
- Department of Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Chuming Fan
- First People's Hospital of Yunnan, Kunming, China
| | - Weihua Lu
- Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Dongwu Shi
- Shanxi Provincial People's Hospital, Taiyuan, China
| | - Lei Wang
- Shanxi Medical University First Affiliated Hospital, Taiyuan, China
| | - Wei Li
- The People's Hospital of Fujian Province, Fuzhou, China
| | - Liming Gu
- People's Hospital of Yuxi City, Yuxi, China
| | | | - Rongqing Sun
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng Guo
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Han
- People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Lihua Zhou
- Affiliated Hospital of Inner Mongolia Medical College, Huhehaote, China
| | | | - Feng Shan
- Qindao University Medical College Affiliated Hospital, Qindao, China
| | - Jianbo Liu
- Inner Mongolia People's Hospital, Huhehaote, China
| | - Yuhang Ai
- Xiangya Hospital Central South University, Changsha, China
| | - Yan Qu
- Qingdao Municipal Hospital Group, Qingdao, China
| | - Liandi Li
- Qindao University Medical College Affiliated Hospital, Qindao, China
| | - Hailing Li
- No.971 Hospital of People's Liberation Army Navy, Qingdao, China
| | - Zhiguo Pan
- General Hospital of Southern Theatre Command, Guangzhou, China
| | - Donglin Xu
- Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Zhiqiang Zou
- Union Hospital of Fujian Medical University, Fuzhou, China
| | - Yan Gao
- The General Hospital of Shenyang Military, Shenyan, China
| | - Chunli Yang
- Jiangxi Provincial People's Hospital, Nanchang, China
| | - Qiuye Kou
- The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xijing Zhang
- Department of Anaesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Jinglan Wu
- Shenzhen Nanshan People's Hospital, Shenzhen, China
| | - Chuanyun Qian
- Kuming Medical University First Affiliated Hospital, Kuming, China
| | - Weixing Zhang
- Peking University Shenzhen Hospital, Guandong, China
| | - Minjie Zhang
- General ICU, Jinan University First Affiliated Hospital, Jinan, China
| | - Yuan Zong
- Shaanxi Provincial People's Hospital, Xi'an, China
| | - Bingyu Qin
- Henan Provincial People's Hospital, Zhengzhou, China
| | | | - Zhe Zhai
- The Fourth Hospital of Harbin Medical University, Harbin, China
| | - Yun Sun
- Anhui Medical University Second Affiliated Hospital, Hefei, China
| | - Ping Chang
- Southern Medical University Zhujiang Hospital, Guangzhou, China
| | - Bo Yu
- Department of Critical Care Medicine, the Second Xiangya Hospital of Central South University, Changsha, 410000, Hunan, China
| | - Min Yu
- First People's Hospital of Yichang, Yichang, China
| | - Shiying Yuan
- Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Yijun Deng
- Yancheng First People's Hospital, Yancheng, China
| | - Liyun Zhao
- Guangdong Second Traditional Chinese Medicine Hospital, Guangzhou, China
| | - Bin Zang
- China Medical University Affiliated Shengjing Hospital, Shenyang, China
| | - Yuanfei Li
- Changsha Central Hospital Affiliated to University of South China, Changsha, China
| | - Fachun Zhou
- Chongqing Medical University First Affiliated Hospital, Chongqing, China
| | - Xiaomei Chen
- Department of Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Shao
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | | | - Ming Wu
- Health Science Center, The Second People's Hospital of Shenzhen, First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | | | - Yimin Li
- First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Guo
- First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhiyong Wang
- Hebei Medical University, Third Affiliated Hospital, Shijiazhuang, China
| | - Yuanqi Gong
- The Second Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Yunlin Song
- The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Kejian Qian
- The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Yongjian Feng
- Neurosurgical ICU, Jinan University First Affiliated Hospital, Jinan, China
| | - Baocai Fu
- Yantai Mountain Hospital, Yantai, China
| | - Xueyan Liu
- Shenzhen People's Hospital, Shenzhen, China
| | - Zhiping Li
- Hunan Provincial People's Hospital, Changsha, China
| | - Chuanyong Gong
- Tianjing Hospital of Integration of Chinese and Western Medicine, Tianjing, China
| | - Cheng Sun
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jian Yu
- The Second Hospital of Dalian Medical University, Liaoning, China
| | - Zhongzhi Tang
- Wuhan General Hospital of Guangzhou Military Region, Wuhan, China
| | - Linxi Huang
- Shantou University Medical College First Affiliated Hospital, Shantou, China
| | - Biao Ma
- Jining Medical College Affiliated Hospital, Jining, China
| | - Zhijie He
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | | | - Rongguo Yu
- Fujian Provincial Hospital, Fujian, China
| | - Zhihui Tong
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China.
| | - Weiqin Li
- Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, 210000, Jiangsu Province, China.
- National Institute of Healthcare Data Science, Nanjing University, Nanjing, China.
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Yu C, Hu XY, Zou C, Yu FF, Liu B, Li Y, Liu Y, Song LJ, Tan L, Li Q, Hu YC, He HY, Chen MY, Zou Z. Associations between severe pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients. Eur Rev Med Pharmacol Sci 2021; 25:7585-7597. [PMID: 34919259 DOI: 10.26355/eurrev_202112_27457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Coronavirus disease 2019 (COVID-19) spread around the world in 2020. Abnormal pulmonary function and residual CT abnormalities were observed in COVID-19 patients during recovery. Appropriate rehabilitation training is around the corner. The correlation between spirometric impairment and residual CT abnormality remains largely unknown. PATIENTS AND METHODS A cross-sectional study conducted on the pulmonary function of 101 convalescent COVID-19 patients before discharge. Multivariate analysis was used to establish a scoring system to evaluate the spirometric abnormality based on residual chest CT. RESULTS Lung consolidation area >25% and severe-type COVID-19 were two independent risk factors for severe pulmonary dysfunction. Besides, a scoring system was established. People scoring more than 12 points have more chances (17 times) to get severe pulmonary function impairment before discharge. CONCLUSIONS For the first time, a chest CT characteristics-based grading system was suggested to predict the pulmonary dysfunction of COVID-19 patients during convalescence in this study. This study may provide suggestions for pulmonary rehabilitation.
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Affiliation(s)
- C Yu
- Department of Respiratory and Critical Care Medicine, Naval Hospital of Eastern Theater of PLA, Zhoushan, Zhejiang Province, P.R. China.
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Zou Z, Xing P, Hao X, Zhang C, Ma K, Shan L, Song X, Li J. P45.15 Clinical Outcomes, Long-Term Survival and Toleration With Sequential Therapy of First-Line Crizotinib Followed by Alectinib in ALK+ NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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20
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Zou Z, Li Y, Xing P, Ying J, Li J. P06.04 Clinical Outcomes and Pathological Characteristics of Resected ALK+ Lung Adenocarcinoma: A Single Center Retrospective Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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21
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Lu Y, Zhu S, Zou Z, He Z, Yang H. [Modulatory effect of 2-arachidonoylglycerol on voltage-gated sodium currents in rat caudate nucleus neurons with kainic acid-induced injury]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1150-1157. [PMID: 34549704 DOI: 10.12122/j.issn.1673-4254.2021.08.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the modulatory effect of 2-arachidonoylglycerol (2-AG) on voltage-gated sodium currents(VGSCs) in rat caudate nucleus (CN) neurons with kainic acid (KA)-induced injury and explore the molecular mechanism underlying the neuroprotective effect of 2-AG. METHODS Primary cultures of CN neurons isolated from neonatal SD rats were treated with KA, 2-AG+KA, RIM (a CB1 receptor antagonist) +2-AG+KA, or vehicle only (as control).After 7 days in primary culture, the neurons were treated with corresponding agents for 12 h (RIM and 2-AG were added at the same time; KA was added 30 min later) before recording of current density changes, current-voltage characteristics, activation and inactivation kinetics of VGSCs (INa) using whole-cell patch clamp technique. RESULTS In cultured CN neurons, KA significantly increased current density of VGSCs (P=0.009) as compared with vehicle treatment.KA also produced a hyperpolarizing shift in the activation curve of INa and significantly increased the absolute value of V1/2 for activation (P=0.008).Addition of 2-AG in the culture medium obviously prevented KA-induced increase of INa (P=0.009) and hyperpolarizing shift in the activation curve of INa, and significantly reduced the value of V1/2 for activation(P=0.009)in a CB1 receptor-dependent manner.2-AG alone did not affect the density, activation or deactivation of VGSCs in rat CN neurons. CONCLUSION In excitotoxic events, endogenous 2-AG can offer neuroprotection by modulating VGSCs in the CN neurons through a CB1 receptor-dependent pathway.
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Affiliation(s)
- Y Lu
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Institute of Brain Grand Diseases, China Three Gorges University, Yichang 443002, China
| | - S Zhu
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Department of Neurology, People's Hospital of China Three Gorges University, Yichang 443002, China
| | - Z Zou
- Department of Neurology, Changjiang Shipping General Hospital, Wuhan 430010, China
| | - Z He
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Institute of Brain Grand Diseases, China Three Gorges University, Yichang 443002, China
| | - H Yang
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Institute of Brain Grand Diseases, China Three Gorges University, Yichang 443002, China
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22
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Bayle A, Droin N, Besse B, Zou Z, Boursin Y, Rissel S, Solary E, Lacroix L, Rouleau E, Borget I, Bonastre J. Whole exome sequencing in molecular diagnostics of cancer decreases over time: evidence from a cost analysis in the French setting. Eur J Health Econ 2021; 22:855-864. [PMID: 33765190 DOI: 10.1007/s10198-021-01293-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 03/16/2021] [Indexed: 05/06/2023]
Abstract
OBJECTIVES Although high-throughput sequencing is revolutionising medicine, data on the actual cost of whole exome sequencing (WES) applications are needed. We aimed at assessing the cost of WES at a French cancer institute in 2015 and 2018. METHODS Actual costs of WES application in oncology research were determined using both micro-costing and gross-costing for the years 2015 and 2018, before and after the acquisition of a new sequencer. The entire workflow process of a WES test was tracked, and the number and unit price of each resource were identified at the most detailed level, from library preparation to bioinformatics analyses. In addition, we conducted an ad hoc analysis of the bioinformatics storage costs of data issued from WES analyses. RESULTS The cost of WES has decreased substantially, from €1921 per sample (i.e. cost of €3842 per patient) in 2015 to €804 per sample (i.e. cost of €1,608 per patient) in 2018, representing a decrease of 58%. In the meantime, the cost of bioinformatics storage has increased from €19,836 to €200,711. CONCLUSION This study suggests that WES cost has decreased significantly in recent years. WES has become affordable, even though clinical utility and efficiency still need to be confirmed.
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Affiliation(s)
- Arnaud Bayle
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France.
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France.
- Université Paris-Sud, Orsay, France.
| | - N Droin
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- UMS CNRS 3655 and INSERM US23, AMMICa, Gustave Roussy, Villejuif, France
| | - B Besse
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
| | - Z Zou
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
| | - Y Boursin
- Digital Transformation and IT System Department, Gustave Roussy Cancer Centre, 94805, Villejuif, France
| | - S Rissel
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
| | - E Solary
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Université Paris-Sud, Orsay, France
| | - L Lacroix
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- UMS CNRS 3655 and INSERM US23, AMMICa, Gustave Roussy, Villejuif, France
- Université Paris-Sud, Orsay, France
| | - E Rouleau
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
| | - I Borget
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
- Université Paris-Sud, Orsay, France
| | - J Bonastre
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
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23
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Huan S, Zhang S, Jiang Z, Su H, Wang H, Zhang X, Yang Y, Liu Z, Wang X, Yu N, Zou Z, Shen D, Liu J, Guo Y. Multiple Magnetic Topological Phases in Bulk van der Waals Crystal MnSb_{4}Te_{7}. Phys Rev Lett 2021; 126:246601. [PMID: 34213928 DOI: 10.1103/physrevlett.126.246601] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 05/27/2021] [Indexed: 06/13/2023]
Abstract
The magnetic van der Waals crystals MnBi_{2}Te_{4}/(Bi_{2}Te_{3})_{n} have drawn significant attention due to their rich topological properties and the tunability by external magnetic field. Although the MnBi_{2}Te_{4}/(Bi_{2}Te_{3})_{n} family have been intensively studied in the past few years, their close relatives, the MnSb_{2}Te_{4}/(Sb_{2}Te_{3})_{n} family, remain much less explored. In this work, combining magnetotransport measurements, angle-resolved photoemission spectroscopy, and first principles calculations, we find that MnSb_{4}Te_{7}, the n=1 member of the MnSb_{2}Te_{4}/(Sb_{2}Te_{3})_{n} family, is a magnetic topological system with versatile topological phases that can be manipulated by both carrier doping and magnetic field. Our calculations unveil that its A-type antiferromagnetic (AFM) ground state stays in a Z_{2} AFM topological insulator phase, which can be converted to an inversion-symmetry-protected axion insulator phase when in the ferromagnetic (FM) state. Moreover, when this system in the FM phase is slightly carrier doped on either the electron or hole side, it becomes a Weyl semimetal with multiple Weyl nodes in the highest valence bands and lowest conduction bands, which are manifested by the measured notable anomalous Hall effect. Our work thus introduces a new magnetic topological material with different topological phases that are highly tunable by carrier doping or magnetic field.
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Affiliation(s)
- Shuchun Huan
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Shihao Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhicheng Jiang
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China
| | - Hao Su
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Hongyuan Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xin Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yichen Yang
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China
| | - Zhengtai Liu
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China
| | - Xia Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Na Yu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhiqiang Zou
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Dawei Shen
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianpeng Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, China
| | - Yanfeng Guo
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
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Zou Z, Xing P, Hao X, Wang Y, Shan L, Zhang C, Song X, Ma K, Liu Z, Dong G, Li J. 154P Intracranial efficacy of alectinib in ALK-positive NSCLC patients with CNS metastases: A multicenter retrospective study. J Thorac Oncol 2021. [DOI: 10.1016/s1556-0864(21)01996-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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25
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Zou Z, Dong YS, Liu JM, Zhao ZH, Li G, Liu DD. Circ-DONSON promotes malignant progression of glioma through modulating FOXO3. Eur Rev Med Pharmacol Sci 2021; 24:749-757. [PMID: 32016978 DOI: 10.26355/eurrev_202001_20055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the expression level of circ-DONSON in glioma and to explore its effect on glioma metastasis and the underlying mechanism. PATIENTS AND METHODS Quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) was performed to examine circ-DONSON expression in 40 paired glioma tumor tissues and adjacent tissues. Meanwhile, the relation between circ-DONSON level and clinical parameters of glioma and the prognosis of patients was analyzed. The expression of circ-DONSON in glioma cell lines was analyzed by qRT-PCR as well. In addition, circs-DONSON silencing model was constructed in glioma cell lines. Cell counting kit-8 (CCK-8), cell scratch, and transwell migration assays were performed to investigate the effect of circ-DONSON on biological functions of glioma cells. Finally, the interplay between FOXO3 and circ-DONSON was explored. RESULTS QRT-PCR results revealed that the expression level of circ-DONSON in glioma tumor tissues was remarkably higher than that of adjacent tissues, and the difference was statistically significant (p<0.05). Compared with patients with low expression of circ-DONSON, significantly higher prevalence of lymph node or distant metastasis and worse prognosis were observed in patients with high expression of circ-DONSON (p<0.05). The proliferation and migration abilities of glioma cells in circ-DONSON silenced group were remarkably suppressed when compared with NC group (p<0.05). Additionally, FOXO3 expression was remarkably down-regulated in glioma cell lines and tissues. FOXO3 expression was negatively correlated with circ-DONSON expression. In addition, cell reverse experiment demonstrated that circ-DONSON and FOXO3 can regulate each other, thereby together affecting the malignant progression of glioma. CONCLUSIONS Circ-DONSON was remarkably associated with lymph node or distant metastasis, as well as poor prognosis of patients with glioma. Furthermore, it promoted the metastasis of glioma cells via regulating FOXO3.
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Affiliation(s)
- Z Zou
- General Hospital of Northern Theater Command Base, Jinzhou Medical University, Jinzhou, China.
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Zhao Z, Qin S, Wang L, Li L, Liu Y, Deng L, Zou Z. [Correlation between gut microbiota and liver biochemical indicators in patients with chronic hepatitis B]. Sheng Wu Gong Cheng Xue Bao 2021; 37:301-311. [PMID: 33501810 DOI: 10.13345/j.cjb.200279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Chronic hepatitis B (CHB) is a global epidemic disease caused by hepatitis B virus that can lead to hepatic failure, even liver cirrhosis and hepatocellular carcinoma. The occurrence and development of CHB are closely related to the changes in the gut microbiota communities. To explore the relationship between the structure of gut microbiota and liver biochemical indicators, 14 CHB patients (the CHB group) and 11 healthy people (the CN group) were randomly enrolled in this study. Our results demonstrate that CHB caused changes in the gut microbiota communities and biochemical indicators, such as alanine transaminase, total bilirubin and gamma glutamyl transferase. Furthermore, CHB induced imbalance of the gut microbiota. Prevotella, Blautia, Ruminococcus, Eubacterium eligens group, Bacteroides uniformis and Ruminococcus sp. 5_1_39BFAA were associated with the critical biochemical indicators and liver injury, suggesting a new approach to CHB treatment.
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Affiliation(s)
- Zhifang Zhao
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing 101407, China
| | - Song Qin
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, Shandong, China
| | - Li Wang
- Yantai City Hospital for infectious Diseases, Yantai 264001, Shandong, China
| | - Lili Li
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, Shandong, China
| | - Youde Liu
- Yantai City Hospital for infectious Diseases, Yantai 264001, Shandong, China
| | - Lixia Deng
- Yantai City Hospital for infectious Diseases, Yantai 264001, Shandong, China
| | - Zhiqiang Zou
- Yantai City Hospital for infectious Diseases, Yantai 264001, Shandong, China
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27
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Wang L, Zou Z, Ding K, Hou C. Predictive risk score model for severe fever with thrombocytopenia syndrome mortality based on qSOFA and SIRS scoring system. BMC Infect Dis 2020; 20:595. [PMID: 32787952 PMCID: PMC7425036 DOI: 10.1186/s12879-020-05299-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 07/26/2020] [Indexed: 12/03/2022] Open
Abstract
Background Severe fever with thrombocytopenia syndrome (SFTS) is a severe systemic virus infectious disease usually having multi-organ dysfunction which resembles sepsis. Methods Data of 321 patients with laboratory-confirmed SFTS from May 2013 to July 2017 were retrospectively analyzed. Demographic and clinical characteristics, calculated quick sequential organ failure assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) criteria for survivors and nonsurvivors were compared. Independent risk factors associated with in-hospital mortality were obtained using multivariable logistic regression analysis. Risk score models containing different risk factors for mortality in stratified patients were established whose predictive values were evaluated using the area under ROC curve (AUC). Results Of 321 patients, 87 died (27.1%). Age (p < 0.001) and percentage numbers of patients with qSOFA≥2 and SIRS≥2 (p < 0.0001) were profoundly greater in nonsurvivors than in survivors. Age, qSOFA score, SIRS score and aspartate aminotransferase (AST) were independent risk factors for mortality for all patients. qSOFA score was the only common risk factor in all patients, those age ≥ 60 years and those enrolled in the intensive care unit (ICU). A risk score model containing all these risk factors (Model1) has high predictive value for in-hospital mortality in these three groups with AUCs (95% CI): 0.919 (0.883–0.946), 0.929 (0.862–0.944) and 0.815 (0.710–0.894), respectively. A model only including age and qSOFA also has high predictive value for mortality in these groups with AUCs (95% CI): 0.872 (0.830–0.906), 0.885(0.801–0.900) and 0.865 (0.767–0.932), respectively. Conclusions Risk models containing qSOFA have high predictive validity for SFTS mortality.
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28
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Zou Z, Ruyer P, Lagrée PY, Aussillous P. Discharge of a silo through a lateral orifice: Role of the bottom inclination versus friction. Phys Rev E 2020; 102:052902. [PMID: 33327082 DOI: 10.1103/physreve.102.052902] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 10/02/2020] [Indexed: 06/12/2023]
Abstract
In this work we propose to identify the relative role of the inclination of gravitational acceleration and friction on the discharge flow rate of a granular media from a rectangular silo by varying the silo geometry thanks to an inclined bottom which ends up at a lateral outlet. The study is motivated by a nuclear safety problem: a fuel rod (modeled by an elongated silo) accidentally releases fuel fragments (modeled by grains). We performed experiments where we independently measured the mass flow rate and the velocity profiles, together with discrete particle simulations and continuum simulations with a frictional rheology described by a μ(I) constitutive law and taking into account the wall friction. We study monolayer flows and three-dimensional flows, and we propose an analytical model that predicts the discharge flow rate of particles from a rectangular silo with an inclined bottom according to its outlet aspect ratio and the bottom inclination angle.
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Affiliation(s)
- Z Zou
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-RES, SEMIA, LSMA, Cadarache, St. Paul-Lez-Durance 13115, France
- Aix-Marseille Université, CNRS, IUSTI, Marseille, France
| | - P Ruyer
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-RES, SEMIA, LSMA, Cadarache, St. Paul-Lez-Durance 13115, France
| | - P-Y Lagrée
- Sorbonne Université, CNRS UMR7190, Institut Jean le Rond ∂' Alembert, F-75005 Paris, France
| | - P Aussillous
- Aix-Marseille Université, CNRS, IUSTI, Marseille, France
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Li Z, Xia W, Su H, Yu Z, Fu Y, Chen L, Wang X, Yu N, Zou Z, Guo Y. Magnetic critical behavior of the van der Waals Fe 5GeTe 2 crystal with near room temperature ferromagnetism. Sci Rep 2020; 10:15345. [PMID: 32948794 PMCID: PMC7501290 DOI: 10.1038/s41598-020-72203-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 08/27/2020] [Indexed: 12/03/2022] Open
Abstract
The van der Waals ferromagnet Fe5GeTe2 has a Curie temperature TC of about 270 K, which is tunable through controlling the Fe deficiency content and can even reach above room temperature. To achieve insights into its ferromagnetic exchange that gives the high TC, the critical behavior has been investigated by measuring the magnetization in Fe5GeTe2 crystal around the ferromagnetic ordering temperature. The analysis of the measured magnetization by using various techniques harmonically reached to a set of reliable critical exponents with TC = 273.7 K, β = 0.3457 ± 0.001, γ = 1.40617 ± 0.003, and δ = 5.021 ± 0.001. By comparing these critical exponents with those predicted by various models, it seems that the magnetic properties of Fe5GeTe2 could be interpreted by a three-dimensional magnetic exchange with the exchange distance decaying as J(r) ≈ r−4.916, close to that of a three-dimensional Heisenberg model with long-range magnetic coupling.
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Affiliation(s)
- Zhengxian Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.,Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wei Xia
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.,Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hao Su
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.,Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhenhai Yu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Yunpeng Fu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Leiming Chen
- School of Materials Science and Engineering, Henan Key Laboratory of Aeronautic Materials and Application Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan, China.
| | - Xia Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.,Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Na Yu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.,Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Zhiqiang Zou
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.,Analytical Instrumentation Center, School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Yanfeng Guo
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
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Zhang Z, Lin J, Chai T, Kang M, Chen W, Qiu H, Zou Z, Gao L, Yang C, Zhu J. Total superior vena cava reconstruction guided by preoperative three-dimensional (3D)-computed tomography bronchography and angiography. Transl Cancer Res 2020; 9:5411-5417. [PMID: 35117906 PMCID: PMC8797622 DOI: 10.21037/tcr-19-2249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/03/2020] [Indexed: 11/06/2022]
Affiliation(s)
- Zhenyang Zhang
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jiangbo Lin
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Tianci Chai
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Mingqiang Kang
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Wenhua Chen
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hanfan Qiu
- Department of Cardiac Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhiqiang Zou
- Department of Intensive Care Unit, Fujian Medical University Union Hospital, Fuzhou, China
| | - Lei Gao
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Chuangcai Yang
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jiafu Zhu
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
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31
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Zou Z, Wu W, Shen W. Introduction of Phase Change Material into Sustainable Carbon Materials for Enhanced Shape Stability and Thermal Conductivity. ChemistrySelect 2020. [DOI: 10.1002/slct.202002257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Zhiqiang Zou
- Sino-German Joint Research Center of Advanced Materials, School of Materials Science and EngineeringEast China University of Science and Technology Shanghai 200237 People's Republic of China
| | - Wei Wu
- Sino-German Joint Research Center of Advanced Materials, School of Materials Science and EngineeringEast China University of Science and Technology Shanghai 200237 People's Republic of China
| | - Wanting Shen
- Sino-German Joint Research Center of Advanced Materials, School of Materials Science and EngineeringEast China University of Science and Technology Shanghai 200237 People's Republic of China
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32
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Zhai S, Qin S, Li L, Zhu L, Zou Z, Wang L. Dietary butyrate suppresses inflammation through modulating gut microbiota in high-fat diet-fed mice. FEMS Microbiol Lett 2020; 366:5531309. [PMID: 31295342 DOI: 10.1093/femsle/fnz153] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 07/10/2019] [Indexed: 11/14/2022] Open
Abstract
Butyrate, a key metabolite fermented by gut microbiota mainly from undigested carbohydrates such as dietary fibers is widely used as feed additive. However, mechanisms of its contributions in maintaining host health are relatively poorly revealed. The aim of this study was to investigate how butyrate impacts gut microbiota and immunity response in high-fat diet-fed mice. Gut microbial analysis exhibited that butyrate intervention increased short-chain fatty acids (SCFAs)-producing bacteria and decreased pathogenic bacteria, such as endotoxin-secreting bacteria. Our result also demonstrated that butyrate intervention enhanced fecal SCFAs concentrations, and inhibited endotoxin levels in feces and serum. Correlation analysis indicated positive relation between endotoxin level and Desulfovibrionaceae abundance. Furthermore, butyrate intervention inhibited expressions of IL-1β, IL-6 and MCP1/CCL2 in liver, as well as TLR4 in adipose tissue. Apart from inhibiting expressions of proinflammatory cytokines, butyrate exerted anti-inflammation effect through selectively modulating gut microbiota, such as increasing SCFAs-producing bacteria and decreasing endotoxin-secreting bacteria, as well as via regulating levels of microbiota-dependent metabolites and components, such as SCFAs and endotoxin.
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Affiliation(s)
- Shixiang Zhai
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Song Qin
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China
| | - Lili Li
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China
| | - Limeng Zhu
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.,Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100080, China
| | - Zhiqiang Zou
- Department of Hepatology, Infectious Disease Hospital of Yantai, Yantai 264001, China
| | - Li Wang
- Department of Hepatology, Infectious Disease Hospital of Yantai, Yantai 264001, China
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33
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Tang B, Gao GM, Zou Z, Liu DN, Tang C, Jiang QG, Lei X, Li TY. [Efficacy comparison between robot-assisted and laparoscopic surgery for mid-low rectal cancer: a prospective randomized controlled trial]. Zhonghua Wei Chang Wai Ke Za Zhi 2020; 23:377-383. [PMID: 32306606 DOI: 10.3760/cma.j.cn.441530-20190401-00135] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To compare the short- and long-term outcomes of robot-assisted and laparoscopic radical resection for mid-low rectal cancer. Methods: A prospective randomized controlled trial was conducted. A total of 130 patients with mid-low rectal cancer (inclusion criteria: age > 18 or ≤80 years old; pathological diagnosis of rectal adenocarcinoma by colonoscopy; distance from tumor to the anal verge ≤12 cm; no distant metastasis; cT1-3N0-1 or ycT1-3 after neoadjuvant radiotherapy and chemotherapy; suitable for laparoscopic and robotic surgery) at the Department of Colorectal Surgery of the First Affiliated Hospital of Nanchang University from October 2016 to September 2018 were prospectively enrolled. According to computer-generated random number method, patients were randomly divided into the robot group (n=66) and laparoscopy group (n=64), and underwent robot-assisted surgery or laparoscopic surgery respectively. Clinicopathological data of all the patients were collected and analyzed. The demographic parameters, short- and long-term outcomes were compared between two groups. Results: One patient in robot group whose postoperative sample was diagnosed as rectal adenoma by pathology was excluded. There were no statistically significant differences in age, sex, BMI, ASA classification, distance from tumor to the anal verge, serum CEA level, CA199 level between two groups (all P>0.05). Operations were successfully performed in all the patients without conversion to open operation. Robotic surgery was found to be associated with less intraoperative blood loss than laparoscopic surgery [(73.4±49.7) ml vs. (119.1±65.7) ml, t=-4.461, P<0.001], while there were no statistically significant differences in surgical procedures, operation time, time to first flatus, time to first liquid intake, time to removal of catheter or postoperative hospital stay between two groups (all P>0.05). Besides, there was no significant difference in the morbidity of postoperative complication between two groups [10.8% (7/65) vs. 12.5 (8/64), χ(2)=4.342, P=0.720]. The median number of harvested lymph node in the robot group and the laparoscopy group was 15.7±6.2 and 13.8±6.1 (t=1.724, P=0.087). There were no significant differences between two groups in tumor sample length, distance between proximal and distal resection margin, integrity grade of TME specimen, number of positive lymph nodes, postoperative pathological stage and tumor differentiation (all P>0.05). The distal resection margin of samples in two groups was all negative. One case in the robot group was found to have positive circumferential resection margin. The median follow up was 24 (9 to 31) months. In the robot group and the laparoscopy group, the 2-year overall survival rate was 95.4% and 90.6% respectively; the 2-year disease-free survival rate was 90.8% and 85.9% respectively, whose differences were not significant (both P>0.05). Conclusion: Robot-assisted radical resection for mid-low rectal cancer can achieve similar short-term and long-term outcomes of laparoscopic resection, while robot-assisted surgery can decrease blood loss during operation, leading to more precise practice in minimally invasive surgery.
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Affiliation(s)
- B Tang
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - G M Gao
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - Z Zou
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - D N Liu
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - C Tang
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - Q G Jiang
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - X Lei
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - T Y Li
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
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Zou Z, Huang R, Yu J. Amelioration of intersphincteric resection for low rectal cancer - concentrate on defaecation function - a video vignette. Colorectal Dis 2020; 22:224-225. [PMID: 31554019 DOI: 10.1111/codi.14860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 09/18/2019] [Indexed: 02/08/2023]
Affiliation(s)
- Z Zou
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - R Huang
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - J Yu
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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35
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Zou Z, Yi-Fei Z, Xian-Sheng Z, Chao-Chao L. Transurethral anatomical endoscopic enucleation of the prostate: Is there a Greenlight? EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)30008-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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36
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Lyu XD, Zou Z, Peng H, Fan RH, Song YP. [Application of multiple nucleotide polymorphism analysis in chimerism detection after allogeneic hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2019; 40:662-666. [PMID: 31495133 PMCID: PMC7342881 DOI: 10.3760/cma.j.issn.0253-2727.2019.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
目的 建立一种利用多核苷酸多态性高通量测序(MNPseq)分析异基因造血干细胞移植后嵌合状态的新方法,并探讨其可行性及优越性。 方法 筛选100个MNP片段,采用高通量测序技术,通过模拟嵌合样本和临床移植后样本,与STR法、融合基因定量检测和流式细胞术微小残留病检测进行对比,验证方法的准确性和敏感性。 结果 MNPseq的准确性和敏感性均优于STR法,其中敏感性为0.01%,较STR法敏感约100倍;MNPseq可以进一步区分STR完全嵌合的42份样本,且经Cutoff值校正后,与融合基因定量检测结果相关;MNPseq可以纠正因为影子峰所造成的STR法的假阳性,并且可以用于检测缺乏供者和(或)患者移植前信息的嵌合体标本。 结论 基于高通量测序的MNPseq分析是一种更加准确和敏感的嵌合体检测方法,而且解决了缺乏移植前信息无法检测嵌合体的问题,具有极高的临床应用价值。
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Affiliation(s)
- X D Lyu
- Central Lab, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Z Zou
- Central Lab, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - H Peng
- Institute of Systematic Biology, Jianghan University, Wuhan 430056, China
| | - R H Fan
- Central Lab, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Y P Song
- Department of Hematology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
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Xu Y, Zou Z, Liu Y, Wang Q, Sun B, Zeng Q, Liu Q, Zhang A. miR-191 is involved in renal dysfunction in arsenic-exposed populations by regulating inflammatory response caused by arsenic from burning arsenic-contaminated coal. Hum Exp Toxicol 2019; 39:37-46. [DOI: 10.1177/0960327119874423] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Chronic exposure to arsenic may result in the manifestation of damage in multiple organs or systems of the body. Arsenic-induced renal dysfunction has been determined, but their pathogenesis has not been fully examined. In this study, we measured the expression levels of miR-191 in plasma, the contents of pro-inflammatory (interleukin (IL)-6 and tumor necrosis factor alpha) and anti-inflammatory (IL-2 and transforming growth factor beta) cytokines, and renal dysfunction indicators (blood urea nitrogen, blood creatinine, uric acid, and cystatin C) in serum from control and arsenic poisoning populations and analyzed the relationship between the miR-191, cytokines, and renal dysfunction indicators. The results clearly show the alteration of miR-191 expression was significantly associated with arsenic-induced renal dysfunction. Overall, the association of miR-191, inflammatory response and renal dysfunction, is clearly supported by the current findings. In other words, miR-191 is involved in renal dysfunction in exposed populations by regulating inflammatory response caused by coal-burning arsenic. The study provides a scientific basis for further studies of the causes of the arsenic-induced renal dysfunction, the biological role of miR-191, and targeted prevention strategies.
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Affiliation(s)
- Y Xu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Z Zou
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Y Liu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Wang
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - B Sun
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Zeng
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Liu
- Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - A Zhang
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
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Zou Z, Bowen S, Thomas H, Sasidharan B, Rengan R, Zeng J. Scanning Beam Proton Therapy Versus Photon IMRT for Stage III Lung Cancer: Comparison of Dosimetry, Toxicity and Outcomes. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.2458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Liu Q, Kong W, Chen F, Meng F, Wei J, Zou Z, Liu B. Neoantigen-reactive T cells combined with chemotherapy and radiation improved survival in advanced pancreatic cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz155.275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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40
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Xing L, Cao W, Cui G, Zhang H, Shi Y, Wei X, Dong Y, Guo C, Wang B, Zhang S, Zou Z, Zhang Z, Sun Y, Yu G, Guo H, Wang D, Meng Q, Li C, Wang X, Yu J. Apatinib in the treatment of non-operable or advanced gastric cancer: Evidence of efficacy and safety in a real-world study. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e15515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e15515 Background: Apatinib, a small molecule tyrosine kinase inhibitor, has been approved to use in patients with advanced gastric adenocarcinoma or gastroesophageal junction adenocarcinoma after at least two systemic chemotherapy regimens in China. This study aims to observe the efficacy and safety of apatinib in real word clinical practice and preliminarily explore the characteristics of population with more clinical benefit. Methods: This study included patients with non-operative or advanced gastric cancer confirmed by histopathology or cytology, and did not intervene the regimen which was entirely determined by the clinicians and patients. Results: From April 16, 2018 to January 12, 2019, 732 patients enrolled, and all patients had been followed up at least once. Total 342 patients were eligible for efficacy evaluation. Among them, 43 patients achieved partial response (PR), 209 patients achieved stable disease (SD) and 90 patients experienced progression disease (PD). The overall response rate (ORR) was 12.55%, and the disease control rate was 73.6%. The mPFS have not yet reached. For patients ≥65 years, the ORR was 26.32%, and for patients < 65 years, ORR was 8.33%. For patients with non-signet ring cell carcinoma and signet ring cell carcinoma, the ORRs were 15.22% and 6.0%. For patients with and without organ metastasis, the ORRs were 15.25% and 3.75% respectively. The PFS analysis showed that, Combined chemotherapy and age > 65 may predict longer PFS. The OS analysis showed that, ECOG 0-1, combined chemotherapy, AFP positive and male predict longer OS. The overall incidence of adverse events was 84%. The most common adverse events were hypertension (28.8%), fatigue (22.4%), hand-foot syndrome (17.3%), anorexia (12.8%) and nausea (10.5%). Conclusions: Apatinib showed promising antitumor activity in patients with non- operable or advanced Gastric Cancer in this real word study. The prolonging survival benefits maybe could be attenuated by age <65, without organ metastasis, ECOG score >1, treatment regimen, normal AFP, and pathological diagnosis of non-signet ring cell carcinoma. Clinical trial information: ChiCTR1800015701.
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Affiliation(s)
| | - Wei Cao
- Juxian People's Hospital, Rizhao, China
| | - Gang Cui
- Taian City Central hospital, Taian, China
| | | | - Yiran Shi
- Weifang People's Hospital, Weifang, China
| | - Xin Wei
- People,s Hospital Of Rizhao Lanshan, Rizhao, China
| | | | | | | | - Shu Zhang
- Department of Medical Oncology, Shandong Cancer Hospital, Jinan, China
| | - Zhiqiang Zou
- The 96 0 Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | | | - Yahong Sun
- Affiliated Hospital of Shandong Academy of Medical Science, Jinan, China
| | - Guohua Yu
- Weifang People's Hospital, Weifang, China
| | | | | | - Qi Meng
- Dezhou People,s Hospital, Dezhou, China
| | | | - Xixun Wang
- Yantai Yuhuangding Hospital, Yantai, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China
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Liu B, Yan J, Su S, Shao J, Zhao Y, Xu Q, Yang Y, Zou Z, Huang X, Wei J. A phase I/II trial of CRISPR-Cas9-mediated PD-1 knockout Epstein-Barr Virus cytotoxic lymphocytes (EBV-CTLs) for advanced stage EBV associated malignancies. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy432.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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42
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Xing J, Zhang Z, Ke L, Zhou J, Qin B, Liang H, Chen X, Liu W, Liu Z, Ai Y, Wang D, Wang Q, Zhou Q, Zhang F, Qian K, Jiang D, Zang B, Li Y, Huang X, Qu Y, Xie Y, Xu D, Zou Z, Zheng X, Liu J, Guo F, Liang Y, Sun Q, Gao H, Liu Y, Chang P, Ceng A, Yang R, Yao G, Sun Y, Wang X, Zhang Y, Wen Y, Yu J, Sun R, Li Z, Yuan S, Song Y, Gao P, Liu H, Zhang Z, Wu Y, Ma B, Guo Q, Shan F, Yang M, Li H, Li Y, Lu W, Wang L, Qian C, Wang Z, Lin J, Zhang R, Wan P, Peng Z, Gong Y, Huang L, Wu G, Sun J, Deng Y, Shi D, Zhou L, Zhou F, Shi Q, Guo X, Liu X, Wu W, Meng X, Li L, Chen W, Li S, Wan X, Chao Z, Zhang A, Gu L, Chen W, Wu J, Zhou L, Zhang Z, Weng Y, Feng Y, Yang C, Feng Y, Zhao S, Tong F, Hao D, Han H, Fu B, Gong C, Li Z, Hu K, Kou Q, Zhang H, Liu J, Fan C, Zhou X, Chen X, Sun J, Zhou X, Song B, Sun C, Zhao L, Dong X, Zhang L, Tong D, Pan Z, Cai C, Wang D, Dong Y, Gong Y, Wu Z, Meng X, Wang P, Li W. Enteral nutrition feeding in Chinese intensive care units: a cross-sectional study involving 116 hospitals. Crit Care 2018; 22:229. [PMID: 30244686 PMCID: PMC6151932 DOI: 10.1186/s13054-018-2159-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Accepted: 08/10/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND There is a lack of large-scale epidemiological data on the clinical practice of enteral nutrition (EN) feeding in China. This study aimed to provide such data on Chinese hospitals and to investigate factors associated with EN delivery. METHODS This cross-sectional study was launched in 118 intensive care units (ICUs) of 116 mainland hospitals and conducted on April 26, 2017. At 00:00 on April 26, all patients in these ICUs were included. Demographic and clinical variables of patients on April 25 were obtained. The dates of hospitalization, ICU admission and nutrition initiation were reviewed. The outcome status 28 days after the day of investigation was obtained. RESULTS A total of 1953 patients were included for analysis, including 1483 survivors and 312 nonsurvivors. The median study day was day 7 (IQR 2-19 days) after ICU entry. The proportions of subjects starting EN within 24, 48 and 72 h after ICU entry was 24.8% (84/352), 32.7% (150/459) and 40.0% (200/541), respectively. The proportion of subjects receiving > 80% estimated energy target within 24, 48, 72 h and 7 days after ICU entry was 10.5% (37/352), 10.9% (50/459), 11.8% (64/541) and 17.8% (162/910), respectively. Using acute gastrointestinal injury (AGI) 1 as the reference in a Cox model, patients with AGI 2-3 were associated with reduced likelihood of EN initiation (HR 0.46, 95% CI 0.353-0.599; p < 0.001). AGI 4 was significantly associated with lower hazard of EN administration (HR 0.056; 95% CI 0.008-0.398; p = 0.004). In a linear regression model, greater Sequential Organ Failure Assessment scores (coefficient - 0.002, 95% CI - 0.008 to - 0.001; p = 0.024) and male gender (coefficient - 0.144, 95% CI - 0.203 to - 0.085; p < 0.001) were found to be associated with lower EN proportion. As compared with AGI 1, AGI 2-3 was associated with lower EN proportion (coefficient - 0.206, 95% CI - 0.273 to - 0.139; p < 0.001). CONCLUSIONS The study showed that EN delivery was suboptimal in Chinese ICUs. More attention should be paid to EN use in the early days after ICU admission.
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Affiliation(s)
- Juan Xing
- Nanjing General Hospital of Nanjing Military Command, No.305 Zhongshan East Road, Nanjing, 210002 China
| | - Zhongheng Zhang
- Department of emergency medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lu Ke
- Nanjing General Hospital of Nanjing Military Command, No.305 Zhongshan East Road, Nanjing, 210002 China
| | - Jing Zhou
- Nanjing General Hospital of Nanjing Military Command, No.305 Zhongshan East Road, Nanjing, 210002 China
| | - Bingyu Qin
- Henan Provincial People’s Hospital, Zhengzhou, China
| | | | | | - Wenming Liu
- Changzhou No.2 People’s Hospital affiliated to Nanjing Medical University, Nanjing, China
| | - Zhongmin Liu
- Jilin University First Hospital, Changchun, China
| | - Yuhang Ai
- Xiangya Hospital Central South University, Changsha, China
| | - Difeng Wang
- Guizhou Medical University affiliated hospital, Guiyang, China
| | | | | | | | - Kejian Qian
- First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Dongpo Jiang
- Third Military Medical University Daping Hospital, Chongqing, China
| | - Bin Zang
- China Medical University Second Affiliated Hospital, Shenyang, China
| | - Yimin Li
- Guangzhou Medical University First Affiliated Hospital, Guangzhou, China
| | - Xiaobo Huang
- Sichuan Provincial People’s Hospital, Chengdu, China
| | - Yan Qu
- Qingdao Municipal Hospital Group, Qingdao, China
| | | | - Donglin Xu
- Guangzhou First Municipal People’s Hospital, Guangzhou, China
| | - Zhiqiang Zou
- Xiehe Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | | | - Jianbo Liu
- Inner Mongolia People’s Hospital, Huhehaote, China
| | - Feng Guo
- Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China
| | - Yafeng Liang
- Qindao University Medical College Affiliated Yantai Yuhuangding Hospital, Qingdao, China
| | - Qiang Sun
- Tianjing People’s Hospital, Tianjin, China
| | - Hongmei Gao
- Tianjing First Central Hospital, Tianjin, China
| | - Yang Liu
- Tangshan Gongren Hospital, Tangshan, China
| | - Ping Chang
- Southern Medical University Zhujiang Hospital, Guangzhou, China
| | - Aibin Ceng
- North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | | | - Gaiqi Yao
- Peking University Third Hospital, Beijing, China
| | - Yun Sun
- Anhui Medical University Second Affiliated Hospital, Hefei, China
| | - Xiaorong Wang
- Wenzhou Medical University First Affiliated Hospital, Wenzhou, China
| | - Yi Zhang
- Shanxi Provincial People’s Hospital, Taiyuan, China
| | - Yichao Wen
- Guangzhou Medical University Second Affiliated Hospital, Guangzhou, China
| | - Jian Yu
- Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Rongqing Sun
- Zhengzhou University First Affiliated Hospital, Zhengzhou, China
| | - Zhiwei Li
- First People’s Hospital of Kunming, Kunming, China
| | - Shiying Yuan
- Union Hospital Affiliated to Tongji Medical College of Huanzhong University of Science and Technology, Wuhan, China
| | - Yunlin Song
- Xinjiang Medical University Affiliated First Hospital, Wulumuqi, China
| | - Peiyang Gao
- Chengdu University of Traditional Chinese Medicine Affiliated Hospital, Chengdu, China
| | - Haiyan Liu
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | | | - Yunfu Wu
- Suzhou Municipal Hospital, Suzhou, China
| | - Biao Ma
- Jining Medical College Affiliated Hospital, Jining, China
| | - Qiang Guo
- First Affiliated Hospital of Soochow University, Suzhou, China
| | - Feng Shan
- Qindao University Medical College Affiliated Hospital, Qindao, China
| | - Mingshi Yang
- Central South University Third Xiangya Hospital, Changsha, China
| | - Hailing Li
- 401 Military Hospital of China, Qindao, China
| | - Yuanfei Li
- Changsha Central Hospital, Changsha, China
| | - Weihua Lu
- Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Lei Wang
- Shanxi Medical University First Affiliated Hospital, Taiyuan, China
| | - Chuangyun Qian
- Kuming Medical University First Affiliated Hospital, Kuming, China
| | - Zhiyong Wang
- Hebei Medical University Third Affiliated Hospital, Shijiazhuang, China
| | - Jiandong Lin
- First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | | | - Peng Wan
- First People’s Hospital of Yichang, Yichang, China
| | - Zhiyong Peng
- Wuhan University Zhongnan Hospital, Wuhan, China
| | - Yuqiang Gong
- Wenzhou Medical University Second Affiliated Hospital, Wenzhou, China
| | - Linxi Huang
- Shantou University Medical College First Affiliated Hospital, Shantou, China
| | - Guobao Wu
- Zhongnan University Xiangya Second Hospital, Changsha, China
| | - Jie Sun
- Yunnan Second People’s Hospital, Kunming, China
| | - Yijun Deng
- Yancheng First People’s Hospital, Yancheng, China
| | - Dongwu Shi
- Shanxi Provincial People’s Hospital, Taiyuan, China
| | - Lixin Zhou
- First People’s Hospital of Foshan, Foshan, China
| | - Fachun Zhou
- Chongqing Medical University First Affiliated Hospital, Chongqing, China
| | - Qindong Shi
- Xi’an Jiao Tong University First Affiliated Hospital, Xi’an, China
| | | | - Xueyan Liu
- Shenzhen People’s Hospital, Shenzhen, China
| | - Weidong Wu
- Shanxi Dayi Hospital of Shanxi Academy of Medical Science, Taiyuan, China
| | | | - Liandi Li
- Qingdao University Affiliated Hospital, Qingdao, China
| | - Weiwei Chen
- Linhai First People’s Hospital, Linhai, China
| | - Shusheng Li
- Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Xianyao Wan
- First Affiliated Hospital of Dalian Medical University, Dalian, China
| | | | - An Zhang
- Chongqing Medical University Second Affiliated Hospital, Chongqing, China
| | - Liming Gu
- People’s Hospital of Yuxi City, Yuxi, China
| | - Wei Chen
- Shijitan Hospital of Capital Medical University, Beijing, China
| | - Jinglan Wu
- Shenzhen Nanshan People’s Hospital, Shenzhen, China
| | - Lihua Zhou
- Affiliated Hospital of Inner Mongolia Medical College, Huhehaote, China
| | | | | | - Yongshun Feng
- Beijing Jingmei Group General Hospital, Beijing, China
| | - Chunli Yang
- Jiangxi Provincial People’s Hospital, Nanchang, China
| | - Yongjian Feng
- Jinan University First Affiliated Hospital, Jinan, China
| | - Sumin Zhao
- General Hospital of Rocket Army, Beijing, China
| | - Fei Tong
- Hebei Medical University Second Affiliated Hospital, Shijiazhuang, China
| | - Dong Hao
- Binzhou Medical College Affiliated Hospital, Binzhou, China
| | - Hui Han
- Chinese PLA General Hospital, Beijing, China
| | - Baocai Fu
- Yantai Mountain Hospital, Yantai, China
| | - Chuanyong Gong
- Tianjing Hospital of ITCWM Nankai Hospital, Tianjing, China
| | - Zhiping Li
- Hunan Provincial People’s Hospital, Changsha, China
| | - Kunlin Hu
- People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qiuye Kou
- Sun Yat-sen University Sixth Affiliated Hospital, Guangzhou, China
| | - Han Zhang
- China Academy of Chinese Medical Sciences Xiyuan Hospital, Beijing, China
| | - Jie Liu
- Wuhan General Hospital of Guangzhou Military Region, Wuhan, China
| | - Chuming Fan
- First People’s Hospital of Yunnan, Kunming, China
| | - Xin Zhou
- Xinjiang Military General Hospital, Wulumuqi, China
| | | | - Junli Sun
- Luoyang Central Hospital, Luoyang, China
| | - Xuejun Zhou
- Huairou First Hospital of Beijing, Beijing, China
| | - Bin Song
- Military General Hospital of Beijing PLA, Beijing, China
| | - Cheng Sun
- Guangdong Provincial People’s Hospital, Guangzhou, China
| | - Liyun Zhao
- Guangdong Second TCM Hospital, Guangzhou, China
| | | | | | - Dafei Tong
- Shenyang First People’s Hospital, Shenyang, China
| | - Zhiguo Pan
- Guangzhou Military General Hospital, Guangzhou, China
| | - Chuangjie Cai
- Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
| | | | | | - Yuanqi Gong
- Nanchang University Second Affiliated Hospital, Nanchang, China
| | - Zhisong Wu
- Beijing University of Chinese Medicine Affiliated Dongfang Hospital, Beijing, China
| | - Xinke Meng
- Shenzhen Second People’s Hospital, Shenzhen, China
| | - Ping Wang
- Chendu Fifth People’s Hospital, Chendu, China
| | - Weiqin Li
- Nanjing General Hospital of Nanjing Military Command, No.305 Zhongshan East Road, Nanjing, 210002 China
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43
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Wei J, Yan J, Su S, Shao J, Zhao Y, Xu Q, Yang Y, Zou Z, Huang X, Liu B. A phase I/II Trial of CRISPR-Cas9-mediated PD-1 knockout Epstein-Barr virus cytotoxic lymphocytes (EBV-CTLs) for advanced stage EBV associated malignancies - Trial in progress. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy151.129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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44
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Vega-Rubin-de-Celis S, Zou Z, Fernandez-Fernandez A, Xiao G, Kim M, Levine B. 19 Autophagy induction as a new therapy for HER2+ breast tumorigenesis. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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45
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Wei J, Wu N, Wang Y, Xu B, Yang Y, Du J, Yu L, Zou Z, Shao Y, Zhu S, Liu B. Targeted-sequencing and comprehensive molecular profiling of gastric signet ring cell carcinoma. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy151.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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46
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Liu Q, Zou Z, Kong W, Chen F, Meng F, Liu B. Personalized peptide vaccine induced adoptive immunocyte transfer combined chemotherapy and radiation improved the survival of advanced pancreatic cancer. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx660.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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47
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Wang Y, Jiang H, Cheng Y, An C, Chu Y, Raikhel AS, Zou Z. Activation of Aedes aegypti prophenoloxidase-3 and its role in the immune response against entomopathogenic fungi. Insect Mol Biol 2017; 26:552-563. [PMID: 28556276 PMCID: PMC5582978 DOI: 10.1111/imb.12318] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Serine protease cascade-mediated melanization is an important innate immune response in insects and crustaceans, which involves the proteolytic activation of prophenoloxidase (PPO). In this study, we investigated the role of Aedes aegypti PPO3 in antifungal immune defence. We expressed and purified recombinant PPO3 (rPPO3) in Escherichia coli and demonstrated that rPPO3 was activated by ethanol and, to a lesser extent, by cetylpyridinium chloride. In the presence of Cu2+ , rPPO3 exhibited enzyme activity. Immunoblot results revealed that the rPPO3 was cleaved by the haemolymph from immune-challenged mosquitoes or purified Ostrinia furnacalis serine protease 105 in vitro. The cleaved rPPO3 converted dopamine to toxic intermediates that killed fungal conidia of Beauveria bassiana in vitro. In mosquitoes challenged with Be. bassiana, cleavage of rPPO3 produced a 50 kDa phenoloxidase (PO) fragment. Further analysis revealed that the survival rate of mosquitoes with fungal infection increased significantly following injection of rPPO3 into the haemocoel. Taken together, our results suggest that proteolytic cleavage of the mosquito PPO3 plays an important role in the antifungal immune response. This has led to a better understanding of the mechanism of PPO activation in the mosquito and the role of melanization in the antifungal immune response.
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Affiliation(s)
- Y. Wang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
| | - H. Jiang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
| | - Y. Cheng
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - C. An
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, 100193, P. R. China
| | - Y. Chu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, 100193, P. R. China
| | - A. S. Raikhel
- Department of Entomology and Institute for Integrative Genome Biology, University of California, Riverside, CA 92521, USA
| | - Z. Zou
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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48
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Chen F, Zou Z, Du J, Wei J, Shao J, Meng F, ding N, Liu B. Efficient identification of neoantigens for personalized cancer immunotherapy in advanced refractory epithelial cancer patients. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx376.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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49
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Pearce SL, Clarke DF, East PD, Elfekih S, Gordon KHJ, Jermiin LS, McGaughran A, Oakeshott JG, Papanicolaou A, Perera OP, Rane RV, Richards S, Tay WT, Walsh TK, Anderson A, Anderson CJ, Asgari S, Board PG, Bretschneider A, Campbell PM, Chertemps T, Christeller JT, Coppin CW, Downes SJ, Duan G, Farnsworth CA, Good RT, Han LB, Han YC, Hatje K, Horne I, Huang YP, Hughes DST, Jacquin-Joly E, James W, Jhangiani S, Kollmar M, Kuwar SS, Li S, Liu NY, Maibeche MT, Miller JR, Montagne N, Perry T, Qu J, Song SV, Sutton GG, Vogel H, Walenz BP, Xu W, Zhang HJ, Zou Z, Batterham P, Edwards OR, Feyereisen R, Gibbs RA, Heckel DG, McGrath A, Robin C, Scherer SE, Worley KC, Wu YD. Erratum to: Genomic innovations, transcriptional plasticity and gene loss underlying the evolution and divergence of two highly polyphagous and invasive Helicoverpa pest species. BMC Biol 2017; 15:69. [PMID: 28810920 PMCID: PMC5557573 DOI: 10.1186/s12915-017-0413-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 08/07/2017] [Indexed: 11/10/2022] Open
Affiliation(s)
- S L Pearce
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - D F Clarke
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - P D East
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Elfekih
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - K H J Gordon
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - L S Jermiin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A McGaughran
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - J G Oakeshott
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - A Papanicolaou
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Hawksbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - O P Perera
- Southern Insect Management Research Unit, USDA-ARS, Stoneville, MS, USA
| | - R V Rane
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S Richards
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | - W T Tay
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T K Walsh
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C J Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Biological and Environmental Sciences, University of Stirling, Stirling, UK
| | - S Asgari
- School of Biological Sciences, University of Queensland, Brisbane St Lucia, QLD, Australia
| | - P G Board
- John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | | | - P M Campbell
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T Chertemps
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France.,National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | | | - C W Coppin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | | | - G Duan
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - C A Farnsworth
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - R T Good
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - L B Han
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Y C Han
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - K Hatje
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - I Horne
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - Y P Huang
- Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - D S T Hughes
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - E Jacquin-Joly
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - W James
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - M Kollmar
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - S S Kuwar
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - S Li
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - N-Y Liu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - M T Maibeche
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France.,National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - J R Miller
- J. Craig Venter Institute, Rockville, MD, USA
| | - N Montagne
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
| | - T Perry
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - J Qu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - S V Song
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - G G Sutton
- J. Craig Venter Institute, Rockville, MD, USA
| | - H Vogel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - B P Walenz
- J. Craig Venter Institute, Rockville, MD, USA
| | - W Xu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,School of Veterinary and Life Sciences, Murdoch University, Perth, WA, Australia
| | - H-J Zhang
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Chongqing Key Laboratory of Biochemistry and Molecular Pharmacology, Chongqing Medical University, Chongqing, 400016, China
| | - Z Zou
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - P Batterham
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | | | - R Feyereisen
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej, Denmark
| | - R A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - D G Heckel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - A McGrath
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C Robin
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S E Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - K C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Y D Wu
- College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
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50
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Pearce SL, Clarke DF, East PD, Elfekih S, Gordon KHJ, Jermiin LS, McGaughran A, Oakeshott JG, Papanicolaou A, Perera OP, Rane RV, Richards S, Tay WT, Walsh TK, Anderson A, Anderson CJ, Asgari S, Board PG, Bretschneider A, Campbell PM, Chertemps T, Christeller JT, Coppin CW, Downes SJ, Duan G, Farnsworth CA, Good RT, Han LB, Han YC, Hatje K, Horne I, Huang YP, Hughes DST, Jacquin-Joly E, James W, Jhangiani S, Kollmar M, Kuwar SS, Li S, Liu NY, Maibeche MT, Miller JR, Montagne N, Perry T, Qu J, Song SV, Sutton GG, Vogel H, Walenz BP, Xu W, Zhang HJ, Zou Z, Batterham P, Edwards OR, Feyereisen R, Gibbs RA, Heckel DG, McGrath A, Robin C, Scherer SE, Worley KC, Wu YD. Genomic innovations, transcriptional plasticity and gene loss underlying the evolution and divergence of two highly polyphagous and invasive Helicoverpa pest species. BMC Biol 2017; 15:63. [PMID: 28756777 PMCID: PMC5535293 DOI: 10.1186/s12915-017-0402-6] [Citation(s) in RCA: 178] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 07/04/2017] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Helicoverpa armigera and Helicoverpa zea are major caterpillar pests of Old and New World agriculture, respectively. Both, particularly H. armigera, are extremely polyphagous, and H. armigera has developed resistance to many insecticides. Here we use comparative genomics, transcriptomics and resequencing to elucidate the genetic basis for their properties as pests. RESULTS We find that, prior to their divergence about 1.5 Mya, the H. armigera/H. zea lineage had accumulated up to more than 100 more members of specific detoxification and digestion gene families and more than 100 extra gustatory receptor genes, compared to other lepidopterans with narrower host ranges. The two genomes remain very similar in gene content and order, but H. armigera is more polymorphic overall, and H. zea has lost several detoxification genes, as well as about 50 gustatory receptor genes. It also lacks certain genes and alleles conferring insecticide resistance found in H. armigera. Non-synonymous sites in the expanded gene families above are rapidly diverging, both between paralogues and between orthologues in the two species. Whole genome transcriptomic analyses of H. armigera larvae show widely divergent responses to different host plants, including responses among many of the duplicated detoxification and digestion genes. CONCLUSIONS The extreme polyphagy of the two heliothines is associated with extensive amplification and neofunctionalisation of genes involved in host finding and use, coupled with versatile transcriptional responses on different hosts. H. armigera's invasion of the Americas in recent years means that hybridisation could generate populations that are both locally adapted and insecticide resistant.
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Affiliation(s)
- S L Pearce
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - D F Clarke
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - P D East
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Elfekih
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - K H J Gordon
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - L S Jermiin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A McGaughran
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - J G Oakeshott
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - A Papanicolaou
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Hawksbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - O P Perera
- Southern Insect Management Research Unit, USDA-ARS, Stoneville, MS, USA
| | - R V Rane
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S Richards
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | - W T Tay
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T K Walsh
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C J Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Biological and Environmental Sciences, University of Stirling, Stirling, UK
| | - S Asgari
- School of Biological Sciences, University of Queensland, Brisbane St Lucia, QLD, Australia
| | - P G Board
- John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | | | - P M Campbell
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T Chertemps
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | | | - C W Coppin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | | | - G Duan
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - C A Farnsworth
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - R T Good
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - L B Han
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Y C Han
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - K Hatje
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - I Horne
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - Y P Huang
- Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - D S T Hughes
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - E Jacquin-Joly
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - W James
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - M Kollmar
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - S S Kuwar
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - S Li
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - N-Y Liu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - M T Maibeche
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - J R Miller
- J. Craig Venter Institute, Rockville, MD, USA
| | - N Montagne
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
| | - T Perry
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - J Qu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - S V Song
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - G G Sutton
- J. Craig Venter Institute, Rockville, MD, USA
| | - H Vogel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - B P Walenz
- J. Craig Venter Institute, Rockville, MD, USA
| | - W Xu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- School of Veterinary and Life Sciences, Murdoch University, Perth, WA, Australia
| | - H-J Zhang
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Chongqing Key Laboratory of Biochemistry and Molecular Pharmacology, Chongqing Medical University, Chongqing, 400016, China
| | - Z Zou
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - P Batterham
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | | | - R Feyereisen
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej, Denmark
| | - R A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - D G Heckel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - A McGrath
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C Robin
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S E Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - K C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Y D Wu
- College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
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