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Jiang SC, Liao YG, Luo J, Hu D, Wang YD, He K. Comparison of intravesical chemotherapy regimens after radical nephroureterectomy for upper tract urothelial carcinoma and analysis of risk factors for postoperative recurrence. Eur Rev Med Pharmacol Sci 2024; 28:2387-2395. [PMID: 38567601 DOI: 10.26355/eurrev_202403_35745] [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: 04/04/2024]
Abstract
OBJECTIVE Upper tract urothelial carcinoma (UTUC) is a relatively rare but aggressive type of urologic cancer that includes renal pelvic tumors and ureteral tumors with a poor prognosis. Full-length nephroureterectomy plus sleeve bladder resection is the standard treatment for the disease, but patients are prone to recurrence of bladder tumors after surgery. Intravesical infusion therapy is the main means to prevent the recurrence and progression of bladder cancer. Epirubicin and gemcitabine are widely used in clinical practice as first-line or salvage therapy for intravesical chemotherapy; however, the efficacy of these agents is rarely discussed. The purpose of this study was to investigate the effects of epirubicin and gemcitabine on the occurrence of bladder cancer after radical nephroureterectomy for UTUC and to analyze the risk factors affecting the recurrence of postoperative bladder cancer. PATIENTS AND METHODS A total of 215 patients with diagnosed UTUC and treated in our hospital from June 2019 to August 2021 were retrospectively selected as the research subjects, and they were divided into an observation group (120 cases) and a control group (95 cases) according to different treatment methods. The patients in the control group were treated with epirubicin, while those in the observation group received gemcitabine. All patients were followed up by telephone or outpatient examination for 12 months to record the occurrence of adverse reactions. The occurrence of bladder cancer was recorded at 3 months, 6 months, and 12 months after the surgery. According to the occurrence of bladder cancer after surgery, the patients were divided into a bladder cancer group (63 cases) and a non-bladder cancer group (152 cases). Multivariate Logistic regression analysis was used to analyze the risk factors of bladder cancer after surgery. RESULTS The total incidence of adverse reactions in the control group was 49.47%, which was higher than that in the observation group with 15.00% (p<0.01). The incidence of bladder tumors in the observation group and the control group was 0.00% and 2.11% at 3 months, 5.00% and 8.42% at 6 months, 13.33% and 15.79% at 12 months, without significant difference (p>0.05). After 12 months of perfusion, the levels of acidic fibroblast growth factor (aFGF), basic fibroblast growth factor (bFGF), and vascular endothelial growth factor (VEGF) in the two groups were significantly lower than those before perfusion (p<0.05). In the observation group, the levels of these three factors were slightly decreased compared with those in the control group, without a significant difference (p>0.05). Between the bladder cancer and non-bladder cancer groups, there were significant differences in tumor location, number of lesions, tumor stage, preoperative ureteral examination, and preoperative history of bladder cancer (p<0.05). The above indexes were all risk factors for postoperative bladder cancer (p<0.05). CONCLUSIONS Epirubicin and gemcitabine reduced the occurrence of bladder cancer and effectively inhibited tumor angiogenesis after radical nephroureterectomy for UTUC. The tumor location, number of lesions, tumor stage, preoperative ureteral examination, and preoperative history of bladder cancer were risk factors for postoperative bladder cancer.
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Affiliation(s)
- S-C Jiang
- Department of Urinary Surgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China. NHC Key Laboratory of Nuclear Technology Medical Transformation, Mianyang, China.
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Liu GL, Zhang HW, Zha CB, Fan TW, Chen ST, Shen TT, He K. Magnetic resonance imaging assessment of substantia nigral iron deposition in Parkinson's disease: a meta-analysis. Eur Rev Med Pharmacol Sci 2024; 28:899-906. [PMID: 38375696 DOI: 10.26355/eurrev_202402_35327] [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: 02/21/2024]
Abstract
OBJECTIVE The pathogenesis of Parkinson's disease (PD) is associated with abnormal iron accumulation. Magnetic resonance imaging (MRI) studies have shown that patients with Parkinson's disease have an increased amount of iron in their substantia nigra (SN). We have undertaken a meta-analysis of studies using MRI in PD, to explore the potential role of MRI in diagnosing PD using abnormal iron deposition in SN as a candidate biomarker. MATERIALS AND METHODS Searches of PubMed, Embase, and Medline databases revealed 16 studies that compared PD patients and healthy controls (HC). A sensitivity analysis and subgroup analysis were performed to evaluate the reliability of our results. Estimates were pooled by the fixed-effects model. As an expression of I2, we computed the proportion of variation due to heterogeneity. RESULTS We included 16 studies with sample sizes of 435 PD and 355 HC in our meta-analysis. Results showed that SN iron deposition was significantly elevated (p<0.00001) in patients with PD compared to HC ones (SMD=0.72, 95% confidence interval 0.57 to 0.87, p<0.00001). CONCLUSIONS Our findings, based on a homogeneous group-level analysis, suggest that MRI-based SN iron deposition could be used to distinguish PD from HC. For a more rigorous investigation of SN iron deposition in PD, larger cohort studies are needed.
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Affiliation(s)
- G-L Liu
- Department of Neurology, Shanghai Electric Power Hospital, Shanghai, China.
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Borghaei H, de Marinis F, Dumoulin D, Reynolds C, Theelen WSME, Percent I, Gutierrez Calderon V, Johnson ML, Madroszyk-Flandin A, Garon EB, He K, Planchard D, Reck M, Popat S, Herbst RS, Leal TA, Shazer RL, Yan X, Harrigan R, Peters S. SAPPHIRE: phase III study of sitravatinib plus nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. Ann Oncol 2024; 35:66-76. [PMID: 37866811 DOI: 10.1016/j.annonc.2023.10.004] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND Checkpoint inhibitor (CPI) therapy revolutionized treatment for advanced non-small-cell lung cancer (NSCLC); however, most patients progress due to primary or acquired resistance. Sitravatinib is a receptor tyrosine kinase inhibitor that can shift the immunosuppressive tumor microenvironment toward an immunostimulatory state. Combining sitravatinib with nivolumab (sitra + nivo) may potentially overcome initial CPI resistance. PATIENTS AND METHODS In the phase III SAPPHIRE study, patients with advanced non-oncogenic driven, nonsquamous NSCLC who initially benefited from (≥4 months on CPI without progression) and subsequently experienced disease progression on or after CPI combined with or following platinum-based chemotherapy were randomized 1 : 1 to sitra (100 mg once daily administered orally) + nivo (240 mg every 2 weeks or 480 mg every 4 weeks administered intravenously) or docetaxel (75 mg/m2 every 3 weeks administered intravenously). The primary endpoint was overall survival (OS). The secondary endpoints included progression-free survival (PFS), objective response rate (ORR), clinical benefit rate (CBR), duration of response (DOR; all assessed by blinded independent central review), and safety. RESULTS A total of 577 patients included randomized: sitra + nivo, n = 284; docetaxel, n = 293 (median follow-up, 17.1 months). Sitra + nivo did not significantly improve OS versus docetaxel [median, 12.2 versus 10.6 months; hazard ratio (HR) 0.86, 95% confidence interval (CI) 0.70-1.05; P = 0.144]. The median PFS was 4.4 versus 5.4 months, respectively (HR 1.08, 95% CI 0.89-1.32; P = 0.452). The ORR was 15.6% for sitra + nivo and 17.2% for docetaxel (P = 0.597); CBR was 75.5% and 64.5%, respectively (P = 0.004); median DOR was 7.4 versus 7.1 months, respectively (P = 0.924). Grade ≥3 treatment-related adverse events were observed in 53.0% versus 66.7% of patients receiving sitra + nivo versus docetaxel, respectively. CONCLUSIONS Although median OS was numerically longer with sitra + nivo, the primary endpoint was not met in patients with previously treated advanced nonsquamous NSCLC. The safety profiles demonstrated were consistent with previous reports.
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Affiliation(s)
- H Borghaei
- Hematology and Oncology Department, Fox Chase Cancer Center, Philadelphia, USA.
| | - F de Marinis
- Division of Thoracic Oncology, European Institute of Oncology, IRCCS, Milan, Italy
| | - D Dumoulin
- Department of Pulmonary Medicine, Erasmus Medisch Centrum, Rotterdam, the Netherlands
| | - C Reynolds
- Ocala Cancer Center, Florida Cancer Specialists and Research Institute - North Region (SCRI), Ocala, USA
| | - W S M E Theelen
- Department of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - I Percent
- North Port Cancer Center, Florida Cancer Specialists and Research Institute - South Region (SCRI), Port Charlotte, USA
| | - V Gutierrez Calderon
- Department of Medical Oncology, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - M L Johnson
- Department of Medical Oncology, Sarah Cannon Research Institute, Tennessee Oncology, Nashville, USA
| | | | - E B Garon
- Division of Hematology-Oncology, David Geffen School of Medicine, University of California, Los Angeles
| | - K He
- Comprehensive Cancer Center, Pelotonia Institute for Immuno-Oncology, The Ohio State University, Columbus, USA
| | - D Planchard
- Department of Medical Oncology, Institut Gustave Roussy, Villejuif, France
| | - M Reck
- Department of Thoracic Oncology, LungenClinic, Airway Research Center North, German Center for Lung Research, Grosshansdorf, Germany
| | - S Popat
- Lung Unit, Department of Medicine, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK
| | - R S Herbst
- Section of Medical Oncology, Yale University, New Haven
| | - T A Leal
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta
| | - R L Shazer
- Department of Clinical Research and Development, Mirati Therapeutics, Inc., San Diego, USA
| | - X Yan
- Department of Clinical Research and Development, Mirati Therapeutics, Inc., San Diego, USA
| | - R Harrigan
- Department of Clinical Research and Development, Mirati Therapeutics, Inc., San Diego, USA
| | - S Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
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Irfan A, Cochrun S, He K, Okorji L, Parmar AD. Towards identifying a learning curve for robotic abdominal wall reconstruction: a cumulative sum analysis. Hernia 2023; 27:671-676. [PMID: 37160504 DOI: 10.1007/s10029-023-02794-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 04/15/2023] [Indexed: 05/11/2023]
Abstract
INTRODUCTION Over the past decade, an increase has been seen in robotics used for hernia repair, specifically robotic abdominal wall reconstruction (rAWR). However, the learning curve for rAWR can be steep and presently, little is understood regarding the optimal case volume required to achieve proficiency. The aim of our study was to review skill acquisition and describe the learning curve for rAWR. METHODS A retrospective, single-surgeon case series of consecutive patients who underwent rAWR from 2018 to 2022. The primary outcome was operative time, obtained from console time identified through the MyIntutive application. A one-sided cumulative sum analysis (CUSUM) curve for the total operative time was derived based on the mean operative time of chronological procedures (207 min). RESULTS 185 patients underwent rAWR between 2018 and 2022. These patients were more likely to be female, Caucasian, and have undergone two previous hernia repairs. ASA complexity increased over time with ASA 3 being predominant from 2020 onwards. The median hernia length was 15.0 cm and the median width was 7 cm. Average operative time was 207.8 min and decreased over time. The CUSUM analysis identified four phases of skill acquisition with the following case volumes: Initial Learning Curve (0-20), Stabilization Phase (21-55), Second Learning Curve (56-70), 4) Skill Proficiency (> 70). CONCLUSION In the early learning curve of rAWR, operative time decreased consistently after 70 cases, with an initial inflection after 20 cases. We identified varying stages of skill acquisition that are likely typical of a surgeon as they would progress through the learning curve of advanced robotic surgery. Future studies are needed to confirm the optimal case volume for determining the skill level for the performance of rAWR.
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Affiliation(s)
- A Irfan
- Division of Gastrointestinal Surgery, Department of Surgery, University of Alabama at Birmingham, 1808 7th Avenue South, Boshell Diabetes Building #525, Birmingham, AL, 35294, USA
| | - S Cochrun
- Division of Gastrointestinal Surgery, Department of Surgery, University of Alabama at Birmingham, 1808 7th Avenue South, Boshell Diabetes Building #525, Birmingham, AL, 35294, USA
| | - K He
- Division of Gastrointestinal Surgery, Department of Surgery, University of Alabama at Birmingham, 1808 7th Avenue South, Boshell Diabetes Building #525, Birmingham, AL, 35294, USA
| | - L Okorji
- Division of Gastrointestinal Surgery, Department of Surgery, University of Alabama at Birmingham, 1808 7th Avenue South, Boshell Diabetes Building #525, Birmingham, AL, 35294, USA
| | - Abhishek D Parmar
- Division of Gastrointestinal Surgery, Department of Surgery, University of Alabama at Birmingham, 1808 7th Avenue South, Boshell Diabetes Building #525, Birmingham, AL, 35294, USA.
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Xia Y, Zhang W, He K, Bai L, Miao Y, Liu B, Zhang X, Jin S, Wu Y. Hydrogen sulfide alleviates lipopolysaccharide-induced myocardial injury through TLR4-NLRP3 pathway. Physiol Res 2023; 72:15-25. [PMID: 36545872 PMCID: PMC10069815 DOI: 10.33549/physiolres.934928] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023] Open
Abstract
To investigate the effect of hydrogen sulfide (H2S) on myocardial injury in sepsis-induced myocardial dysfunction (SIMD), male C57BL/6 mice were intraperitoneally injected with lipopolysaccharide (LPS) (10 mg/kg, i.p.) to induce cardiac dysfunction without or with the H2S donor sodium hydrosulfide (NaHS) (50 µmol/kg, i.p.) administration 3 h after LPS injection. Six hours after the LPS injection, echocardiography, cardiac hematoxylin and eosin (HE) staining, myocardial damage and inflammatory biomarkers and Western blot results were analyzed. In mice, the administration of LPS decreased left ventricular ejection fraction (LVEF) by 30 % along with lowered H2S levels (35 % reduction). It was observed that cardiac troponin I (cTnI), tumor necrosis factor-alpha (TNF-alpha), and interleukin-1beta (IL-1beta) levels were all increased (by 0.22-fold, 2000-fold and 0.66-fold respectively). HE staining revealed structural damage and inflammatory cell infiltration in the myocardial tissue after LPS administration. Moreover, after 6 h of LPS treatment, toll-like receptor 4 (TLR4) and nod-like receptor protein 3 (NLRP3) expressions were up-regulated 2.7-fold and 1.6-fold respectively. When compared to the septic mice, NaHS enhanced ventricular function (by 0.19-fold), decreased cTnI, TNF-alpha, and IL-1beta levels (by 11 %, 33 %, and 16 % respectively) and downregulated TLR4 and NLRP3 expressions (by 64 % and 31 % respectively). Furthermore, NaHS did not further improve cardiac function and inflammation in TLR4-/- mice or mice in which NLRP3 activation was inhibited by MCC950, after LPS injection. In conclusion, these findings imply that decreased endogenous H2S promotes the progression of SIMD, whereas exogenous H2S alleviates SIMD by inhibiting inflammation via the TLR4-NLRP3 pathway suppression.
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Affiliation(s)
- Y Xia
- Department of Physiology, Hebei Medical University, Hebei, China. ;
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Secor A, Zhao S, Wei L, Das P, Haddad T, Miah A, Spakowicz D, Lopez G, Husain M, Grogan M, Li M, Schweitzer C, Pilcher C, Uribe D, Cheng G, Phelps M, Guo J, Shields P, He K, Bertino E, Carbone D, Otterson G, Presley C, Owen D. PP01.25 Incidence and Timing of Immune-Related Adverse Events in Patients With Non-Small Cell Lung Cancer Treated With Immune Checkpoint Inhibitor as Monotherapy or in Combination With Chemotherapy. J Thorac Oncol 2023. [DOI: 10.1016/j.jtho.2022.09.051] [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: 01/29/2023]
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He K, Osorio N, Barsoumian H, Leyton CK, Hu Y, Voss T, Huang A, Cortez M, Lopes J, Losey H, Winquist R, Welsh J. Selective Agonism of Intermediate-Affinity IL-2 Receptor Promotes Systemic Antitumor Responses in Combination with Radiotherapy in Metastatic Lung Cancer. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.576] [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: 10/31/2022]
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Li M, Zhao S, Guo J, Gauntner T, Schafer J, Chakravarthy K, Lopez G, Secor A, Das P, Surya N, Husain M, Patel S, Grogan M, Spakowicz D, Miah A, Wei L, He K, Bertino E, Alahmadi A, Memmott R, Kaufman J, Presley C, Shields P, Carbone D, Otterson G, Owen D. EP08.01-062 Body Mass Index, Immune Related Adverse Events, and Survival in Patients with Metastatic Non-small Cell Lung Cancer Treated with Immunotherapy. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.634] [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: 11/16/2022]
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Cheng J, Miao BF, Liu Z, Yang M, He K, Zeng YL, Niu H, Yang X, Wang ZQ, Hong XH, Fu SJ, Sun L, Liu Y, Wu YZ, Yuan Z, Ding HF. Coherent Picture on the Pure Spin Transport between Ag/Bi and Ferromagnets. Phys Rev Lett 2022; 129:097203. [PMID: 36083669 DOI: 10.1103/physrevlett.129.097203] [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] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
In a joint effort of both experiments and first-principles calculations, we resolve a hotly debated controversy and provide a coherent picture on the pure spin transport between Ag/Bi and ferromagnets. We demonstrate a strong inverse Rashba-Edelstein effect (IREE) at the interface in between Ag/Bi with a ferromagnetic metal (FM) but not with a ferromagnetic insulator. This is in sharp contrast to the previously claimed IREE at Ag/Bi interface or inverse spin Hall effect dominated spin transport. A more than one order of magnitude modulation of IREE signal is realized for different Ag/Bi-FM interfaces, casting strong tunability and a new direction for searching efficient spintronics materials.
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Affiliation(s)
- J Cheng
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - B F Miao
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z Liu
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - M Yang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - K He
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y L Zeng
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - H Niu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - X Yang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z Q Wang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - X H Hong
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - S J Fu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - L Sun
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Liu
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Y Z Wu
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
- Department of Physics, Fudan University, 220 Handan Road, Shanghai 200433, People's Republic of China
| | - Z Yuan
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - H F Ding
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
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Li Q, He K, Patrick M, Tejasvi T, Zhang H, Stuart P, Nair R, Gudjonsson J, Elder J, Tsoi L. 511 Kullback-Leibler divergence model to integrate genetic and genomic information to assess drug response for psoriatic patients. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.520] [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: 10/17/2022]
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Patrick M, Nair R, He K, Stuart P, Billi A, Gudjonsson J, Oksenberg J, Elder J, Tsoi L. 456 Independent causal effect of psoriasis on multiple sclerosis identified by Mendelian randomization. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.465] [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: 11/30/2022]
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He K, Chen X, Shi Z, Shi S, Tian Q, Hu X, Song R, Bai K, Shi W, Wang J, Li H, Ding J, Geng S, Sheng X. Relationship of resting heart rate and blood pressure with all-cause and cardiovascular disease mortality. Public Health 2022; 208:80-88. [PMID: 35728416 DOI: 10.1016/j.puhe.2022.03.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 10/13/2021] [Revised: 01/21/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES This study aimed to investigate associations of resting heart rate (RHR) and blood pressure (BP) with all-cause and cardiovascular disease (CVD) mortality. STUDY DESIGN A retrospective cohort study. METHODS A total of 67,028 Chinese participants aged ≥60 years were included in the analysis. RHR, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were evaluated according to quartiles ([41-69, 70-74, 75-79, 80-127 beats/min], [80-119, 120-129, 130-139, 140-238 mm Hg], and [40-70, 71-79, 80-84, 85-133 mm Hg]). Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause and CVD mortality with RHR, SBP, and DBP. Restricted cubic splines were used to evaluate the dose-response association. RESULTS During the 361,975 person-year follow-up, 9326 deaths were recorded, of which 5039 deaths were due to CVD. The risk of all-cause mortality was increased by 25% with the quartiles four vs quartile one of RHR (HR [95% CI]:1.25 [1.17-1.33]), and CVD mortality was increased by 32% (HR [95% CI]: 1.32 [1.22-1.44]). Similar results were observed when comparing the quartiles four vs quartile one of SBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.14 [1.07, 1.22] and 1.23 [1.12. 1.34]) and DBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.17 [1.11. 1.24] and 1.36 [1.26. 1.47]). We found linear associations of RHR, SBP, and DBP with all-cause and CVD mortality (Pnon-linearity >0.05), except for the approximately J-shaped association between DBP and all-cause mortality (Pnon-linearity = 0.008). There was a significant interaction of RHR and SBP with all-cause and CVD mortality (Pinteraction <0.05). CONCLUSIONS RHR and BP increased the risk of all-cause and CVD mortality, especially fast RHR combined with high SBP.
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Affiliation(s)
- K He
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Chen
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Z Shi
- Department of Pharmacy, Zhengzhou People's Hospital, Zhengzhou, Henan, People's Republic of China
| | - S Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Q Tian
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Song
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - K Bai
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - W Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - H Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Ding
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - S Geng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Sheng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
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He K, Gottumukkala R, Silverman S, Shyn P. Abstract No. 129 Safety and efficacy of PET/CT-guided and CT-guided percutaneous cryoablation of recurrent pleural mesothelioma. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.210] [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: 11/28/2022] Open
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Leal T, Berz D, Rybkin I, Iams W, Bruno D, Blakely C, Spira A, Patel M, Waterhouse D, Richards D, Pham A, Jotte R, Garon E, Hong D, Shazer R, Yan X, Latven L, He K. 43P MRTX-500: Phase II trial of sitravatinib (sitra) + nivolumab (nivo) in patients (pts) with non-squamous (NSQ) non-small cell lung cancer (NSCLC) progressing on or after prior checkpoint inhibitor (CPI) therapy. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.01.052] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Xu T, Dai T, Zeng P, Song Q, He K, Hu Z, Li Y, Li Z. Identification of RHEX as a novel biomarker related to progression and immunity of non-small cell lung carcinoma. Transl Cancer Res 2022; 10:3811-3828. [PMID: 35116680 PMCID: PMC8797495 DOI: 10.21037/tcr-21-1316] [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: 07/02/2021] [Accepted: 08/10/2021] [Indexed: 12/24/2022]
Abstract
Background The therapeutic response and prognosis of patients with non-small cell lung carcinoma (NSCLC) are widely related to immunity. To improve the prognosis of patients and provide reliable information to guide appropriate personalized treatment strategies, it is necessary to identify reliable prognostic or predictive indicators closely related to tumor phenotype and immune traits in NSCLC. Methods Based on The Cancer Genome Atlas (TCGA)-NSCLC mRNA expression profile data, a novel approach combining differential gene expression analysis, single-sample gene set enrichment analysis (ssGSEA), and weighted gene co-expression network analysis (WGCNA) was used to screen hub genes. Subsequently, the regulator of hemoglobinization and erythroid cell expansion (RHEX) was identified as a key gene using the log-rank test and confirmed in the ArrayExpress database. The relationship between RHEX and clinicopathological parameters was analyzed using the Wilcoxon rank-sum test. More importantly, through gene set enrichment analysis (GSEA) and cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithms, and with reference to the Tumor IMmune Estimation Resource (TIMER) database, we explored the relevant pathways of RHEX and its relationship with tumor-infiltrating immune cells (TICs). Finally, we depicted the association between RHEX and immunomodulators in the TCGA and a web portal TISIDB. Results The RHEX mRNA expression levels in tumor tissues were lower than those in normal tissues and declined with the progression of NSCLC. Meanwhile, RHEX overexpression was associated with high immune infiltration levels and a favorable clinical prognosis. RHEX may participate in tumor microenvironment (TME) regulation through multiple tumor-immune related pathways, especially the JAK-STAT signaling pathway. Furthermore, RHEX expression affected the infiltrating abundance of multiple TICs and positively correlated with most of the immunomodulators in NSCLC. Conclusions Our study is the first to propose that RHEX is an immune-related gene with prognostic value in NSCLC and reveals the underlying mechanism between RHEX and tumor-immune system interactions. These results ultimately provide guidance for prognosis and immunotherapy for NSCLC patients.
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Affiliation(s)
- Tao Xu
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Tianyang Dai
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Peiyuan Zeng
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Qi Song
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Kaiming He
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhi Hu
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yuan Li
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhou Li
- Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
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He K, Barsoumian H, Yang L, Hu Y, Osorio N, Sezen D, Wasley M, Leyton CK, Cortez M, Maazi H, Revenko A, MacLeod R, Welsh J. Selective Inhibition of STAT6 With Antisense Nucleotides Enhances Systemic Antitumor Effect of Hypofractionated Radiotherapy and Anti-PD1 in Metastatic Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1239] [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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He K, Cao C, Xu X, Ye Z, Ma X, Chen W, Du P. Octanoic acid-rich enteral nutrition prevented lipopolysaccharide-induced acute liver injury through c-Jun N-terminal kinase-dependent autophagy. JPEN J Parenter Enteral Nutr 2021; 46:1353-1360. [PMID: 34719794 DOI: 10.1002/jpen.2297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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
BACKGROUND Acute liver injury (ALI) is an essential component of sepsis associated with poor outcomes. Octanoic acid (OA), a medium-chain fatty acid, has a protective effect on sepsis-induced organ damage, and autophagy is an adaptive response to sepsis. However, the underlying mechanism by which OA prevents ALI remains unknown. Therefore, we investigated whether OA-rich enteral nutrition (EN) prevented lipopolysaccharide (LPS)-induced ALI through the c-Jun N-terminal kinase (JNK)-dependent autophagy. METHODS Firstly, Sprague Dawley rats were randomly divided into four groups (sham, LPS, LPS + EN, and LPS + EN + OA) to detect the effect of OA-rich EN on LPS-induced ALI. Then, rats were randomly divided into five groups (sham, LPS, LPS + EN + OA, LPS + EN + OA + anisomycin (AN), and LPS + SP600125) to explore the mechanism by which OA-rich EN prevented ALI. EN and OA-rich EN were conducted through gastric tubes for 3 days. The liver protective effects were measured by liver histopathological changes, enzymes, inflammatory cytokines of serum and liver, the levels of autophagy, and JNK activity. RESULTS OA-rich EN inhibited JNK activity, up-regulated autophagy and prevented LPS-induced ALI. Inhibition of JNK activity conferred by SP promoted autophagy and prevented LPS-induced ALI. Moreover, the protective effect of autophagy and inhibition of JNK activity conferred by OA-rich EN on ALI was counteracted by AN. CONCLUSION OA-rich EN prevented LPS-induced ALI through JNK-dependent autophagy. This result suggested that OA-rich EN may be a therapeutic potential for ALI in patients with sepsis.
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Affiliation(s)
- Kaiming He
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chun Cao
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiangrong Xu
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhenyu Ye
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaoming Ma
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Wei Chen
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Peng Du
- Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
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He J, Liang H, Wang W, Akopov A, Aiolfi A, Ang KL, Bertolaccini L, Cai K, Cao Q, Chen B, Chen C, Chen C, Chen D, Chen F, Chen J, Chen L, Chen M, Chen Y, Chen Z, Cheng C, Cui D, Cui F, Dai T, Dong Q, Ferrari PA, Flores RM, Fu J, Funaki S, Froudarakis ME, Gan X, Geng M, Guo J, Guo Q, Han Y, He J, He K, Hirai K, Hu J, Hu S, Huang J, Huang J, Jiang W, Kim KS, Kiss G, Kong F, Lan L, Leng X, Li B, Li G, Li H, Li H, Li H, Li J, Li X, Li S, Li Y, Li Z, Liang Y, Liang L, Liang W, Liao Y, Lin W, Lin X, Liu H, Liu H, Liu J, Liu J, Liu X, Liu Z, Lu X, Luo Q, Mao N, Pan Q, Pang D, Peng J, Peng J, Pompeo E, Qian R, Qiao K, Redwan B, Sang Z, Shao W, Shen J, Shen W, Sung SW, Tang W, Wang T, Wang G, Wang H, Wang H, Wang J, Wang W, Wang Y, Wang Z, Wei L, Wei W, Wu H, Wu J, Xia Z, Xu C, Xu E, Xu H, Xu N, Xu Q, Xu R, Xu S, Yang C, Yang H, Yang S, Yi J, Zhang G, Zhang H, Zhang J, Zhang M, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao J, Zhao X, Zhou J, Zhou Y, Zhu C, Zhu S, Zhu X, Cui J, Yan Y, Chen KN. Tubeless video-assisted thoracic surgery for pulmonary ground-glass nodules: expert consensus and protocol (Guangzhou). Transl Lung Cancer Res 2021; 10:3503-3519. [PMID: 34584853 PMCID: PMC8435391 DOI: 10.21037/tlcr-21-663] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/23/2021] [Indexed: 12/13/2022]
Affiliation(s)
- Jianxing He
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Hengrui Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Andrey Akopov
- Department of Thoracic Surgery, First Pavlov State Medical University, Saint-Petersburg, Russia
| | - Alberto Aiolfi
- Division of Minimally Invasive Surgery, Istituto Clinico Sant'Ambrogio, University of Milan, Milan, Italy
| | - Keng-Leong Ang
- Department of Thoracic Surgery, Glenfield Hospital, Leicester, UK
| | - Luca Bertolaccini
- Department of Thoracic Surgery, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Kaican Cai
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Qingdong Cao
- Department of Thoracic Surgery, the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Baojun Chen
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Donglai Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Fengxia Chen
- Department of Thoracic Surgery, Hainan General Hospital, Hainan, China
| | - Jun Chen
- Lung Cancer Department, Tianjin General Hospital, Tianjin Medical University, Tianjin, China
| | - Lei Chen
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mingwu Chen
- Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yongbing Chen
- Department of Thoracic Surgery, the Second Affiliated Hospital of Soochow University, Soochow, China
| | - Zhuxing Chen
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Chao Cheng
- Department of Thoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Dong Cui
- Department of Thoracic Surgery, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Fei Cui
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Tianyang Dai
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou, China
| | - Qinglong Dong
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Paolo A Ferrari
- Division of Thoracic Surgery, Oncology Hospital "A. Businco", A.R.N.A.S. "G. Brotzu", Cagliari, Italy
| | - Raja M Flores
- Department of Thoracic Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Junke Fu
- Department of Thoracic Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Soichiro Funaki
- Department of General Thoracic Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Marios E Froudarakis
- Department of Pneumonology and Thoracic Oncology, North Hospital, University Hospital of Saint-Etienne, St-Etienne, France
| | - Xiangfeng Gan
- Department of Thoracic Surgery, the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Mingfei Geng
- Department of Thoracic Surgery, Anyang Tumour Hospital, Anyang, China
| | - Jialong Guo
- Department of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Qiang Guo
- Department of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, China
| | - Yongtao Han
- Division of Thoracic Surgery, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China
| | - Jintao He
- Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Kaiming He
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou, China
| | - Kyoji Hirai
- Division of Thoracic Surgery, Nippon Medical School Chiba Hokusoh Hospital, Chiba, Japan
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuqiao Hu
- Department of Thoracic Surgery, Longyan City First Hospital, Longyan, China
| | - Jian Huang
- Department of Thoracic Surgery, Maoming People's Hospital, Maoming, China
| | - Jun Huang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wenfa Jiang
- Department of Thoracic Surgery, Ganzhou People's Hospital, Ganzhou, China
| | - Kyung Soo Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Gabor Kiss
- Department of Cardiovascular and Thoracic Surgery, Anaesthesia and Surgical Intensive Care, University Hospital Felix Guyon, Saint Denis, Reunion Island, France
| | - Fanyi Kong
- Department of Thoracic Surgery, Cangzhou Central Hospital, Cangzhou, China
| | - Lan Lan
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xuefeng Leng
- Division of Thoracic Surgery, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China
| | - Bin Li
- Department of Thoracic Surgery, Lanzhou University Second Hospital, Lanzhou University Second Clinical Medical College, Lanzhou, China
| | - Gaofeng Li
- 2nd Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hecheng Li
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hefei Li
- Department of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, China
| | - Heng Li
- 2nd Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jiwei Li
- Department of Thoracic Surgery, Zhengzhou Key Laboratory for Surgical Treatment for End-stage Lung Disease, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Xiaoqiang Li
- Department of Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen, China
| | - Shuben Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yinfen Li
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhuoyi Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yi Liang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, China
| | - Lixia Liang
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yongde Liao
- Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wanli Lin
- Department of Thoracic Surgery, Gaozhou People's Hospital, Gaozhou, China
| | - Xu Lin
- Department of Thoracic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hongxu Liu
- Department of Thoracic Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Hui Liu
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jixian Liu
- Department of Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen, China
| | - Jun Liu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Xiang Liu
- Department of Thoracic Surgery, Second Affiliated Hospital of the University of South China, Hengyang, China
| | - Zihao Liu
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xingzhao Lu
- Department of Cardiothoracic Surgery, Dongguan People's Hospital, Dongguan, China
| | - Qingquan Luo
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Naiquan Mao
- Department of Thoracic Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Qi Pan
- Department of Thoracic Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Dazhi Pang
- Department of Thoracic Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Jun Peng
- Department of Thoracic Surgery, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Jun Peng
- Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Eugenio Pompeo
- Department of Thoracic Surgery, Policlinico Tor Vergata University of Rome, Rome, Italy
| | - Rulin Qian
- Department of Thoracic Surgery, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Kun Qiao
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen, China
| | - Bassam Redwan
- Department of Thoracic Surgery, Klinik am Park, Klinikum Westfalen, Lünen, Germany
| | - Zi Sang
- Department of Thoracic Surgery, Anyang Tumour Hospital, Anyang, China
| | - Wenlong Shao
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Jianfei Shen
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou, China
| | - Weiyu Shen
- Department of Thoracic Surgery, Ningbo medical center LIHUILI Hospital, Ningbo, China
| | - Sook-Whan Sung
- Thoracic and Cardiovascular Surgery, Ewha Womens University Seoul Hospital, Seoul, Korea
| | - Wenfang Tang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, China
| | - Tianhu Wang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guangsuo Wang
- Department of Thoracic Surgery, People's Hospital of Shenzhen, Shenzhen, China
| | - Haitao Wang
- Department of Thoracic Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Huien Wang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Jiyong Wang
- Department of Cardiothoracic, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wen Wang
- Department of Cardio-Thoracic Surgery, Hunan Provincial People's Hospital and The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Yongyong Wang
- Department of Thoracic Surgery, the Second Affiliated Hospital of Soochow University, Soochow, China
| | - Zhenyuan Wang
- Department of Thoracic Surgery, The People's Hospital of Liaoning Province, Shenyang, China
| | - Li Wei
- Department of Thoracic Surgery, Zhengzhou Key Laboratory for Surgical Treatment for End-stage Lung Disease, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Wei Wei
- Department of Thoracic Surgery, Huizhou Municipal Central Hospital, Huizhou, China
| | - Hao Wu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Jie Wu
- Department of Thoracic Surgery, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Zhaohua Xia
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen, China
| | - Chenyang Xu
- Department of Thoracic Surgery, Ganzhou People's Hospital, Ganzhou, China
| | - Enwu Xu
- General Hospital of Southern Theater Command, PLA, Guangzhou, China
| | - Hai Xu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Ning Xu
- Department of Thoracic Surgery, Anhui Chest Hospital, Hefei, China
| | - Quan Xu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Rongyu Xu
- Department of Thoracic Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Shun Xu
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang, China
| | - Chaokun Yang
- Department of Thoracic Surgery, The Second Peoples' Hospital of Yibin, Yibin, China
| | - Hanyu Yang
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shengli Yang
- Department of Thoracic Surgery, The First People's Hospital of Foshan, Foshan, China
| | - Jun Yi
- Department of Thoracic and Cardiovascular Surgery, The First People's Hospital of Jingmen, Jingmen, China
| | - Guangjian Zhang
- Department of Thoracic Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hao Zhang
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jia Zhang
- Department of Thoracic Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Man Zhang
- Department of Thoracic Surgery, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Xiao Zhang
- Department of Thoracic Surgery, The Affiliated Luoyang Central Hospital of Zhengzhou University, Luoyang, China
| | - Yajie Zhang
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhe Zhang
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Zhifeng Zhang
- Department of Thoracic Surgery, Jieyang People's Hospital, Jieyang, China
| | - Honglin Zhao
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian Zhao
- Department of Chest Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Xiaodong Zhao
- Department of Thoracic Surgery, the Affiliated Hospital of Medical School, Ningbo University, Ningbo, China
| | - Jianping Zhou
- Department of Cardiothoracic Surgery, Dongguan People's Hospital, Dongguan, China
| | - Yanran Zhou
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chengchu Zhu
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou, China
| | - Shaojin Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | - Xinhai Zhu
- Department of Thoracic Surgery, Zhejiang Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Jian Cui
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Harbin Medical University L, Harbin, China
| | - Yubo Yan
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Ke-Neng Chen
- Department of Thoracic Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
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Leal T, Berz D, Rybkin I, Iams W, Bruno D, Blakely C, Spira A, Patel M, Waterhouse D, Richards D, Pham A, Jotte R, Garon E, Hong D, Shazer R, Yan X, Latven L, He K. 1191O MRTX-500: Phase II trial of sitravatinib (sitra) + nivolumab (nivo) in patients (pts) with non-squamous (NSQ) non-small cell lung cancer (NSCLC) progressing on or after prior checkpoint inhibitor (CPI) therapy. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1796] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Pu J, Zhang T, Zhang D, He K, Chen Y, Sun X, Long W. High-Expression of Cytoplasmic Poly (A) Binding Protein 1 (PABPC1) as a Prognostic Biomarker for Early-Stage Esophageal Squamous Cell Carcinoma. Cancer Manag Res 2021; 13:5361-5372. [PMID: 34262344 PMCID: PMC8275044 DOI: 10.2147/cmar.s317631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 04/26/2021] [Accepted: 06/15/2021] [Indexed: 01/16/2023] Open
Abstract
Background and Objective Poly (A) binding protein cytoplasmic 1 (PABPC1) plays a crucial role in the regulation of RNA polyadenylation, translation initiation, and mRNA stability and may be involved in tumorigenesis. Herein, we set out to identify the prognostic value of PABPC1 expression in esophageal squamous cell carcinoma (ESCC). Methods Using quantitative real-time PCR (qRT-PCR) and immunohistochemical analysis, the present study investigated mRNA and protein expressions of PABPC1 in 231 ESCCs and their paired adjacent normal epithelial tissues. Results We observed a reduction in the average mRNA expression of PABPC1 in ESCC tissue specimen, but the mRNA expression of PABPC1 was significantly higher (P<0.001) in ESCC tissues with high PABPC1 expression and lower (P=0.033) in tissues with low PABPC1 expression. In immunohistochemical analysis, positive expression of the PABPC1 protein was identified in 179 ESCC tissue specimens (179/231, 77.5%), while the percentage of ESCC tissue specimens with high expression of PABPC1 was found to be 41.1% (95/231). PABPC1 expression was found to be significantly correlated with lymph node metastasis (LNM) (P=0.011), pathological stage (P=0.021), tumor recurrence (P<0.001), and the outcome (P<0.001) of patients with ESCC. High expression of PABPC1 was associated with poor overall survival (OS) of ESCC patients (P<0.001) among all pathological stages, particularly in the early stages (pStage-I and -II), and identified to be an independent prognostic factor for OS of patients with ESCC in multivariate analysis (HR=2.622; 95% CI, 1.68–4.129). Comparatively, the expression of Ki-67, p53, and nm23 was not associated with OS. Conclusion In this study, we discovered that PABPC1 is a prognostic biomarker and a therapeutic target for ESCC, particularly early-stage ESCC.
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Affiliation(s)
- Jiangtao Pu
- Thoracic Surgery Department of the First Affiliated Hospital, Southwest Medical University, Sichuan, People's Republic of China
| | - Tao Zhang
- Thoracic Surgery Department of the First Affiliated Hospital, Southwest Medical University, Sichuan, People's Republic of China
| | - Dengguo Zhang
- Thoracic Surgery Department of the First Affiliated Hospital, Southwest Medical University, Sichuan, People's Republic of China
| | - Kaiming He
- Thoracic Surgery Department of the First Affiliated Hospital, Southwest Medical University, Sichuan, People's Republic of China
| | - Yonghong Chen
- Laboratory of Affiliated Hospital of traditional Chinese medicine of Southwest Medical University, Sichuan, People's Republic of China
| | - Xingwang Sun
- Pathology Department of the First Affiliated Hospital, Southwest Medical University, Sichuan, People's Republic of China
| | - Wenbo Long
- Pathology Department of the First Affiliated Hospital, Southwest Medical University, Sichuan, People's Republic of China
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Xu T, Dai T, Zeng P, Guo Y, He K. A novel immune-related gene signature predicts survival in esophageal squamous cell carcinoma. Transl Cancer Res 2021; 10:2354-2367. [PMID: 35116551 PMCID: PMC8798451 DOI: 10.21037/tcr-20-2665] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 03/12/2021] [Indexed: 11/06/2022]
Abstract
Background Immune-related genes (IRGs) are highly relevant to the progression and prognosis of esophageal squamous cell carcinoma (ESCC). A prognostic signature could be reliable in stratifying ESCC patients according to the risk score, which may help manage systematic treatments. In this study, a systematic and reliable immune signature was developed to estimate the prognostic stratification in ESCC. Methods Ribonucleic acid (RNA) expression data of 79 ESCC samples from the Cancer Genome Atlas (TCGA) database and 269 normal esophageal mucosal samples from the Genotype-Tissue Expression (GTEx) project database were downloaded from the University of California, Santa Cruz (UCSC) website to form a TCGA-GTEx dataset. First, we screened differentially expressed genes (DEGs) and then filtered IRGs based on the Immunology Database and Analysis Portal (ImmPort) database to obtain immune-related DEGs (IRDEGs). Next, a novel prognostic signature based on IRDEGs was developed using multivariable Cox analysis. Immune infiltration status was evaluated via single-sample gene set enrichment analysis (ssGSEA). ESCC tissues were grouped into three clusters in terms of immune infiltration (Immunity-L, Immunity-M, and Immunity-H) by applying an unsupervised hierarchical clustering algorithm. Finally, the samples were divided into high- and low-risk groups using the median of the risk score scores for GSEA pathway enrichment analysis in the three clusters. Results The prognostic signature based on IRDEGs (FCER1G, ISG20, and EGFR) performed moderately in prognostic predictions, with a concordance index (C-index) value of 0.73 [95% (confidence interval) CI: 0.63–0.84, P=2.02E-05] and an area under the curve (AUC) value of 0.817. The xenobiotic metabolism pathway was significantly enriched and up-regulated both in the high-risk group of the immunity-M and immunity-H clusters. Conclusions The novel immune-related prognostic signature we constructed has a good prognostic, predictive ability and can be used as an independent prognostic indicator. Our study provides clinicians with a quantitative tool to predict the probability of individual survival time and helps clinicians select targets for immunotherapies and individualized treatment strategies for ESCC patients.
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Affiliation(s)
- Tao Xu
- Department of Thoracic Surgery, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Tianyang Dai
- Department of Thoracic Surgery, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Peiyuan Zeng
- Department of Thoracic Surgery, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yunfen Guo
- Department of Laboratory Medicine, the Nanchong Central Hospital, Nanchong, China
| | - Kaiming He
- Department of Thoracic Surgery, the Affiliated Hospital of Southwest Medical University, Luzhou, China
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22
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Gettinger S, Kluger H, Schoenfeld A, Warner AB, He K, Sukari A, Thomas S, de Spéville BD, Lee S, Haefliger S, Goldberg Z, Cacovean A, Fiaz R, Chen G, Jagasia M, Finckenstein FG, Fardis M, Jimeno A. 187TiP Phase II, multicenter study of autologous tumor infiltrating lymphocytes (TIL, LN 144/LN-145/LN-145-S1) in patients with solid tumours. J Thorac Oncol 2021. [DOI: 10.1016/s1556-0864(21)02029-3] [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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Owen D, Wei L, Pilcher C, Patel S, Konda B, Shah M, Ferguson S, Benner B, Norman R, Carson W, Smith M, Vogt SM, Verschraegen C, He K, Bertino E, Presley C, Shields P, Carbone D, Otterson G. P79.04 A Phase 2 Trial of Nivolumab and Temozolomide in Extensive Stage Small Cell Lung Cancer: Interim Efficacy Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1183] [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: 11/29/2022]
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24
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Surya N, Li M, Zhao S, Wei L, Patel S, Lopez G, Johns A, Grogan M, Bertino E, He K, Shields P, Carbone D, Otterson G, Presley C, Owen D. P75.12 Prognostic Value of Neutrophil to Lymphocyte Ratio in NSCLC Patients Receiving First Line Immune Checkpoint Inhibitor Therapy. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1046] [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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Arabchigavkani N, Somphonsane R, Ramamoorthy H, He G, Nathawat J, Yin S, Barut B, He K, Randle MD, Dixit R, Sakanashi K, Aoki N, Zhang K, Wang L, Mei WN, Dowben PA, Fransson J, Bird JP. Remote Mesoscopic Signatures of Induced Magnetic Texture in Graphene. Phys Rev Lett 2021; 126:086802. [PMID: 33709762 DOI: 10.1103/physrevlett.126.086802] [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] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 01/19/2021] [Indexed: 06/12/2023]
Abstract
Mesoscopic conductance fluctuations are a ubiquitous signature of phase-coherent transport in small conductors, exhibiting universal character independent of system details. In this Letter, however, we demonstrate a pronounced breakdown of this universality, due to the interplay of local and remote phenomena in transport. Our experiments are performed in a graphene-based interaction-detection geometry, in which an artificial magnetic texture is induced in the graphene layer by covering a portion of it with a micromagnet. When probing conduction at some distance from this region, the strong influence of remote factors is manifested through the appearance of giant conductance fluctuations, with amplitude much larger than e^{2}/h. This violation of one of the fundamental tenets of mesoscopic physics dramatically demonstrates how local considerations can be overwhelmed by remote signatures in phase-coherent conductors.
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Affiliation(s)
- N Arabchigavkani
- Department of Physics, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - R Somphonsane
- Department of Physics, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand
| | - H Ramamoorthy
- Department of Electronics Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand
| | - G He
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - J Nathawat
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - S Yin
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - B Barut
- Department of Physics, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - K He
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - M D Randle
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - R Dixit
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - K Sakanashi
- Department of Materials Science, Chiba University, Chiba 263-8522, Japan
| | - N Aoki
- Department of Materials Science, Chiba University, Chiba 263-8522, Japan
| | - K Zhang
- Department of Materials Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - L Wang
- Department of Materials Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - W-N Mei
- Department of Physics, University of Nebraska Omaha, Omaha, Nebraska 68182, USA
| | - P A Dowben
- Department of Physics and Astronomy, Theodore Jorgensen Hall, University of Nebraska Lincoln, Lincoln, Nebraska 68588-0299, USA
| | - J Fransson
- Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 21 Uppsala, Sweden
| | - J P Bird
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
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Bao Z, Wang LJ, He K, Lin X, Yu T, Li J, Gong J, Xiang G. High expression of ACE2 in the human lung leads to the release of IL6 by suppressing cellular immunity: IL6 plays a key role in COVID-19. Eur Rev Med Pharmacol Sci 2021; 25:527-540. [PMID: 33506945 DOI: 10.26355/eurrev_202101_24425] [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: 12/25/2022]
Abstract
OBJECTIVE The pathogenesis of coronavirus disease 2019 (COVID-19) remains clear, and no effective treatment exists. SARS-CoV-2 is the virus that causes COVID-19 and uses ACE2 as a cell receptor to invade human cells. Therefore, ACE2 is a key factor to analyze the SARS-CoV-2 infection mechanism. MATERIALS AND METHODS We included 9,783 sequencing results of different organs, analyzed the effects of different ACE2 expression patterns in organs and immune regulation. RESULTS We found that ACE2 expression was significantly increased in the lungs and digestive tract. The cellular immunity of individuals with elevated ACE2 expression is activated, whereas humoral immunity is dampened, leading to the release of many inflammatory factors dominated by IL6. Furthermore, by studying the sequencing results of SARS-CoV-2-infected and uninfected cells, IL6 was found to be an indicator of a significant increase in the number of infected cells. However, although patients with high expression of ACE2 will release many inflammatory factors dominated by IL6, cellular immunity in the colorectum is significantly activated. This effect may explain why individuals with SARS-CoV-2 infection have severe lung symptoms and digestion issues, which are important causes of milder symptoms. CONCLUSIONS This finding indicates that ACE2 and IL6 inhibitors have important value in COVID-19.
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Affiliation(s)
- Z Bao
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, P.R. China.
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Wang YF, He K, Guo W, Wang HF, Zhang DH, Gong MQ, Ji MJ, Chen L. [Genes associated with Wolbachia-induced cytoplasmic incompatibility in natural populations of Culex pipiens pallens: a preliminary study]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:517-521. [PMID: 33185065 DOI: 10.16250/j.32.1374.2019197] [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: 11/27/2022]
Abstract
OBJECTIVE To investigate the genes involved in Wolbachia-induced cytoplasmic incompatibility among three natural populations of Culex pipiens pallens in eastern China, so as to provide insights into the development of preventive and control measures for mosquito-borne diseases based on Wolbachia. METHODS The cytoplasmic incompatibility was tested among three natural populations of C. pipiens pallens collected from Nanjing and Wuxi of Jiangsu Province and Tangkou of Shandong Province using reciprocal crosses. Wolbachia infection was detected in C. pipiens pallens using a PCR assay, and the expression of Wolbachia wsp and WD0513 genes was quantified using a fluorescent quantitative real-time PCR (qPCR) assay. RESULTS Bidirectional compatibility was found between the natural populations of C. pipiens pallens collected from Nanjing and Wuxi of Jiangsu Province (t = 0.57 and 0.15, both P values > 0.05), while bidirectional incompatibility was seen between the natural populations of C. pipiens pallens collected from Tangkou of Shandong Province and Wuxi of Jiangsu Province (t = 63.81 and 43.51, both P values < 0.01), and between the natural populations of C. pipiens pallens collected from Nanjing of Jiangsu Province and Tangkou of Shandong Province (t = 39.62 and 43.12, both P values < 0.01). Wolbachia wsp gene was amplified in all three natural populations of C. pipiens pallens, and qPCR assay detected no significant difference in the Wolbachia wsp gene expression among the three natural populations of C. pipiens pallens (F = 2.15, P > 0.05). In addition, there was no significant difference in the WD0513 gene expression between the natural populations of C. pipiens pallens collected from Tangkou of Shandong Province and Nanjing of Jiangsu Province (q = 8.42, P < 0.05) or between the natural populations of C. pipiens pallens collected from Tangkou of Shandong Province and Wuxi of Jiangsu Province (q = 7.84, P < 0.05); however, there was a significant difference detected in the WD0513 gene expression between the natural populations of C. pipiens pallens collected from Nanjing and Wuxi of Jiangsu Province (q = 0.40, P > 0.05). CONCLUSIONS Different Wolbachia numbers are detected in natural populations of C. pipiens pallens collected from Nanjing and Wuxi of Jiangsu Province and Tangkou of Shandong Province, and WD0513 gene may be involved in the Wolbachia-induced cytoplasmic incompatibility among three natural populations of C. pipiens pallens.
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Affiliation(s)
- Y F Wang
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - K He
- School of Medical Imaging, Nanjing Medical University, China
| | - W Guo
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - H F Wang
- Shandong Academy of Medical Sciences, Shandong Institute of Parasitic Diseases, China
| | - D H Zhang
- School of International Education, Nanjing Medical University, China
| | - M Q Gong
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - M J Ji
- Department of Pathogenic Biology, Nanjing Medical University, Jiangsu Provincial Key Laboratory of Modern Pathogenic Biology, China
| | - L Chen
- Department of Pathogenic Biology, Nanjing Medical University, Jiangsu Provincial Key Laboratory of Modern Pathogenic Biology, China
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Liu J, Wang T, He K, Xu M, Gong JP. Cardiolipin inhibitor ameliorates the non-alcoholic steatohepatitis through suppressing NLRP3 inflammasome activation. Eur Rev Med Pharmacol Sci 2020; 23:8158-8167. [PMID: 31599445 DOI: 10.26355/eurrev_201909_19036] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Non-alcoholic fatty liver disease (NAFLD) has been proven to be the most common liver disease in the world, which is a sterile liver disease and is characterized by chronic hepatic steatosis and inflammation. The first step of the spectrum of the disease is the non-alcoholic fatty liver (NAFL). Based on hepatocellular necrosis and inflammation, NAFL will progress to non-alcoholic steatohepatitis (NASH), which may have the potential to progress cirrhosis, and even hepatocellular carcinoma (HCC) in a few years. Kupffer cells (KCs) are liver-resident macrophages and have been proven to play a crucial role in NAFLD development. Cardiolipin is reported to be effective to trigger the activation of NLRP3 inflammasome through a ROS-independent signaling pathway. However, the exact mechanism of NLRP3 inflammasome activated by cardiolipin in KCs is still unclear. MATERIALS AND METHODS To make clear of the specific mechanism mentioned above, we firstly used a MCD-induced NASH mice model to demonstrate that CLS1 suppression reduced hepatic steatosis and inflammation. Secondly, the results of IHC staining indicated that the expressions of CLS1 and NLRP3 in liver tissues were significantly upregulated in the NASH group compared to the ND group. On the contrary, CLS1 inhibition significantly downregulated NLRP3 expression in liver tissues, which indicated that CLS1 probably regulated the level of NLRP3 expression. Furthermore, we demonstrated that CLS1 suppression significantly ameliorated the liver function and decreased the TG level, and interleukin-1β (IL-1β) and IL-18 were markedly reduced upon CLS1 inhibition. RESULTS In this work, we reported that cardiolipin is involved in the development of NASH, and the suppression of the cardiolipin synthesis by shRNA-CLS1 could ameliorate the hepatic pathogenic manifestations, as well as the serum inflammatory biomarkers. We further showed that the protein expressions of CLS1, NLRP3, ASC, and Caspase-1 were all upregulated in the NASH liver tissues and palmitic stimulated KCs. CONCLUSIONS Our study showed that the upregulation of NLRP3 inflammasome activated by cardiolipin is crucial in NASH pathogenesis, which might provide a novel potential role of cardiolipin blockade in the treatment of NASH.
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Affiliation(s)
- J Liu
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Zhang C, Xu Y, He K, Dong Y, Zhao H, Medenbach L, Wu Y, Balducci A, Hannappel T, Lei Y. Polyimide@Ketjenblack Composite: A Porous Organic Cathode for Fast Rechargeable Potassium-Ion Batteries. Small 2020; 16:e2002953. [PMID: 32815290 DOI: 10.1002/smll.202002953] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/08/2020] [Indexed: 06/11/2023]
Abstract
Potassium-ion batteries (PIBs) configurated by organic electrodes have been identified as a promising alternative to lithium-ion batteries. Here, a porous organic Polyimide@Ketjenblack is demonstrated in PIBs as a cathode, which exhibits excellent performance with a large reversible capacity (143 mAh g-1 at 100 mA g-1 ), high rate capability (125 and 105 mAh g-1 at 1000 and 5000 mA g-1 ), and long cycling stability (76% capacity retention at 2000 mA g-1 over 1000 cycles). The domination of fast capacitive-like reaction kinetics is verified, which benefits from the porous structure synthesized using in situ polymerization. Moreover, a renewable and low-cost full cell is demonstrated with superior rate behavior (106 mAh g-1 at 3200 mA g-1 ). This work proposes a strategy to design polymer electrodes for high-performance organic PIBs.
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Affiliation(s)
- Chenglin Zhang
- Institute of Physics and IMN MacroNano®, Technical University of Ilmenau, Ilmenau, 98693, Germany
| | - Yang Xu
- Institute of Physics and IMN MacroNano®, Technical University of Ilmenau, Ilmenau, 98693, Germany
- Department of Chemistry, University College London, London, WC1H 0AJ, UK
| | - Kaiming He
- Institute of Nanochemistry and Nanobiology, Shanghai University, Shanghai, 200444, China
| | - Yulian Dong
- Institute of Nanochemistry and Nanobiology, Shanghai University, Shanghai, 200444, China
| | - Huaping Zhao
- Institute of Physics and IMN MacroNano®, Technical University of Ilmenau, Ilmenau, 98693, Germany
| | - Lukas Medenbach
- Institute for Technical Chemistry and Environmental Chemistry, Friedrich-Schiller-University Jena, Philosophenweg 7a, Jena, 07743, Germany
| | - Yuhan Wu
- Institute of Physics and IMN MacroNano®, Technical University of Ilmenau, Ilmenau, 98693, Germany
| | - Andrea Balducci
- Institute for Technical Chemistry and Environmental Chemistry, Friedrich-Schiller-University Jena, Philosophenweg 7a, Jena, 07743, Germany
| | - Thomas Hannappel
- Institute of Physics and IMN MacroNano®, Technical University of Ilmenau, Ilmenau, 98693, Germany
| | - Yong Lei
- Institute of Physics and IMN MacroNano®, Technical University of Ilmenau, Ilmenau, 98693, Germany
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Abstract
Abstract
Introduction
Home sleep apnea testing (HSAT) has largely supplanted diagnostic polysomnography. Primary care (PC) driven HSAT utilization is common especially in rural settings that lack sleep specialist (SS) support. There have been no studies comparing appropriateness of HSAT utilization in veterans managed by SS vs. PC.
Methods
We use hub and spoke model to manage patients with OSA. SS selects testing for hub and PC utilizes HSAT for spoke patients. Testing is interpreted by SS. Patients referred for HSAT using WatchPAT over 4 months were compared on test failure rate, adherence to AASM guidelines for OSA diagnosis, adherence to HSAT use criteria, and diagnostic success rate (AHI ≥5) in high risk patients (STOPBANG ≥5) without significant comorbidities or HSAT contraindications compared to all comers.
Results
There were 125 hub and 170 spoke patients included in the analyses. Baseline characteristics were similar between sites (gender, age, BMI, Epworth sleepiness scale, neck size, STOPBANG, pacemaker dependence, and medication use affecting HSAT). Spoke patients had slightly higher prevalence of comorbidities (hypertension, cardiac arrhythmia, heart failure, COPD, stroke, and long acting opioid use). Complete HSAT failure (no data) was 2% and technical failure (monitoring time <4 hours) was 13% at both sites. Unnecessary studies primarily to confirm OSA in those previously diagnosed on therapy seeking to establish care were 3% (hub) and 21% (spoke). HSAT done in patients without significant comorbidities was 77% (hub) and 68% (spoke). Adherence to HSAT use criteria was 74% at both sites. Diagnostic success rate of prespecified and all comers was 65% vs. 60% at hub and 86% vs. 64% at spoke sites.
Conclusion
Adherence to AASM guidelines and HSAT use criteria was overall fair with low failure rates. Further improving HSAT protocol for SS and PC with the aim to improve diagnostic success rate and minimize unnecessary studies should be pursued.
Support
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Affiliation(s)
- K He
- Sleep Medicine, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - M Mendez
- Sleep Medicine, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - C W Atwood
- Sleep Medicine, VA Pittsburgh Healthcare System, Pittsburgh, PA
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Abstract
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are applied over a regular, dense sampling of possible object locations have the potential to be faster and simpler, but have trailed the accuracy of two-stage detectors thus far. In this paper, we investigate why this is the case. We discover that the extreme foreground-background class imbalance encountered during training of dense detectors is the central cause. We propose to address this class imbalance by reshaping the standard cross entropy loss such that it down-weights the loss assigned to well-classified examples. Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training. To evaluate the effectiveness of our loss, we design and train a simple dense detector we call RetinaNet. Our results show that when trained with the focal loss, RetinaNet is able to match the speed of previous one-stage detectors while surpassing the accuracy of all existing state-of-the-art two-stage detectors. Code is at: https://github.com/facebookresearch/Detectron.
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Abstract
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are applied over a regular, dense sampling of possible object locations have the potential to be faster and simpler, but have trailed the accuracy of two-stage detectors thus far. In this paper, we investigate why this is the case. We discover that the extreme foreground-background class imbalance encountered during training of dense detectors is the central cause. We propose to address this class imbalance by reshaping the standard cross entropy loss such that it down-weights the loss assigned to well-classified examples. Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training. To evaluate the effectiveness of our loss, we design and train a simple dense detector we call RetinaNet. Our results show that when trained with the focal loss, RetinaNet is able to match the speed of previous one-stage detectors while surpassing the accuracy of all existing state-of-the-art two-stage detectors. Code is at: https://github.com/facebookresearch/Detectron.
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Abstract
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The method, called Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with the existing branch for bounding box recognition. Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps. Moreover, Mask R-CNN is easy to generalize to other tasks, e.g., allowing us to estimate human poses in the same framework. We show top results in all three tracks of the COCO suite of challenges, including instance segmentation, bounding-box object detection, and person keypoint detection. Without bells and whistles, Mask R-CNN outperforms all existing, single-model entries on every task, including the COCO 2016 challenge winners. We hope our simple and effective approach will serve as a solid baseline and help ease future research in instance-level recognition. Code has been made available at: https://github.com/facebookresearch/Detectron.
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Liu J, Li J, Wei W, Hao Z, Liang H, Cui F, Wang W, Huang J, Peng G, Huang W, Wang Y, Lai F, He K, Pan Q, Xu K, Cai W, Hamblin L, Liang W, He J. Potential of the glasses-free three-dimensional display system in shortening the learning curve of video-assisted endoscopic surgery: a self-controlled ex-vivo study. Ann Transl Med 2019; 7:521. [PMID: 31807503 DOI: 10.21037/atm.2019.10.01] [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] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background One of the largest challenges in endoscopic surgical training is adapting to a two-dimensional (2D) view. The glasses-free three-dimensional (GF-3D) display system was designed to integrate the merits of both 2D and conventional 3D (C-3D) displays, allowing surgeons to perform video-assisted endoscopic surgery under a stereoscopic view without heavy and cumbersome 3D glasses. Methods In this study, 15 junior thoracic surgeons were divided to test one routine and one complex task three times each via traditional high-definition 2D (HD-2D) and GF-3D to determine whether there was any advantage when using the GF-3D system to acquire endoscopic skills. The duration, numbers of stitches, and distance between every two stitches were recorded for every procedure. Results Seven participants were enrolled in the HD-2D group and eight participants were enrolled in the GF-3D group. All 15 participants successfully completed porcine skin continuous suture and tracheal continuous anastomosis procedures three times each. For skin continuous suture, there was no significant difference between the two groups in terms of the learning curve for speed (P=0.683) and accuracy (P=0.556). For tracheal continuous anastomosis, there was a significant difference between the two groups in terms of the learning curve for speed (P=0.001), but no significant difference was observed between the two groups in terms of the learning curve for accuracy (P=0.211). Conclusions In summary, both HD-2D and GF-3D display systems are efficient for routine and complex endoscopic surgery. With the help of GF-3D, surgeons can acquire new complex endoscopic skills faster than HD-2D and be free from burdensome polarized glasses. More comparative studies in a clinical setting are needed to further explore the feasibility, necessity, and economic aspects of the GF-3D display system.
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Affiliation(s)
- Jun Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Jingpei Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Wei Wei
- Department of Thoracic Surgery, Huizhou Municipal Central Hospital, Huizhou 516001, China
| | - Zhexue Hao
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Hengrui Liang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Fei Cui
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Wei Wang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Jun Huang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Guilin Peng
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Weizhe Huang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Yidong Wang
- Operation Room, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Fengling Lai
- Operation Room, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Kaiming He
- Department of Thoracic Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| | - Qi Pan
- Department of Thoracic Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Ke Xu
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Weipeng Cai
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Lindsey Hamblin
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Wenhua Liang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
| | - Jianxing He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou 510120, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou 510120, China
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Li F, Zhao X, Li M, He K, Huang C, Zhou Y, Li Z, Walters JR. Insect genomes: progress and challenges. Insect Mol Biol 2019; 28:739-758. [PMID: 31120160 DOI: 10.1111/imb.12599] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [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: 11/02/2017] [Revised: 03/22/2019] [Accepted: 05/14/2019] [Indexed: 05/24/2023]
Abstract
In the wake of constant improvements in sequencing technologies, numerous insect genomes have been sequenced. Currently, 1219 insect genome-sequencing projects have been registered with the National Center for Biotechnology Information, including 401 that have genome assemblies and 155 with an official gene set of annotated protein-coding genes. Comparative genomics analysis showed that the expansion or contraction of gene families was associated with well-studied physiological traits such as immune system, metabolic detoxification, parasitism and polyphagy in insects. Here, we summarize the progress of insect genome sequencing, with an emphasis on how this impacts research on pest control. We begin with a brief introduction to the basic concepts of genome assembly, annotation and metrics for evaluating the quality of draft assemblies. We then provide an overview of genome information for numerous insect species, highlighting examples from prominent model organisms, agricultural pests and disease vectors. We also introduce the major insect genome databases. The increasing availability of insect genomic resources is beneficial for developing alternative pest control methods. However, many opportunities remain for developing data-mining tools that make maximal use of the available insect genome resources. Although rapid progress has been achieved, many challenges remain in the field of insect genomics.
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Affiliation(s)
- F Li
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - X Zhao
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - M Li
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - K He
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - C Huang
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - Y Zhou
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - Z Li
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - J R Walters
- Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
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36
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Wang YM, Yu JL, Zeng XL, Chen YH, Liu Y, Cheng SY, Lai YF, Yin CM, He K, Xue QK. Temperature and excitation wavelength dependence of circular and linear photogalvanic effect in a three dimensional topological insulator Bi 2Se 3. J Phys Condens Matter 2019; 31:415702. [PMID: 31220819 DOI: 10.1088/1361-648x/ab2b55] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The circular (CPGE) and linear photogalvanic effect (LPGE) of a three-dimensional topological insulator Bi2Se3 thin film of seven quintuple layers excited by near-infrared (1064 nm) and mid-infrared (10.6 [Formula: see text]m) radiations have been investigated. The comparison of the CPGE current measured parallel and perpendicular to the incident plane, together with the comparison of the CPGE current under front and back illuminations, indicates that the CPGE under front illumination of 1064 nm light is dominated by the top surface states of the Bi2Se3 thin film. The CPGE current excited by 10.6 [Formula: see text]m light is about one order larger than that excited by 1064 nm light, which may be attributed to the smaller cancelation effect of the CPGE generated in the two-dimensional electron gas when excited by 10.6 [Formula: see text]m light. Under the excitation of 1064 nm light, the LPGE current is dominated by the component which shows an even parity of incident angles, while the LPGE current excited by 10.6 [Formula: see text]m light is mainly contributed by the component which is an odd parity of incident angles. Both of the CPGE and LPGE currents excited by 1064 nm decrease with increasing temperature, which may be owing to the decrease of the momentum relaxation time and the stronger electron-electron scattering with increasing temperature, respectively.
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Affiliation(s)
- Y M Wang
- Institute of Micro/Nano Devices and Solar Cells, School of Physics and Information Engineering, Fuzhou University, Fuzhou, People's Republic of China
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Reckamp K, Akerley W, Calvo E, Clarke J, Edelman M, He K, Moreno V, Neal J, Owonikoko T, Patel J, Patel S, Riess J, Sacher A, Turcotte S, Villaruz L, Zauderer M, Farsaci B, Skoura N, Chisamore M, Johnson M. Safety, tolerability and activity of autologous T-cells with enhanced T-cell receptors specific to NY ESO 1/LAGE 1a (GSK3377794) alone, or in combination with pembrolizumab, in advanced non-small cell lung cancer: A phase Ib/IIa randomised pilot study. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz260.112] [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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38
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Oezkan F, He K, Owen D, Pietrzak M, Cho J, Kitzler R, Pearson R, Rusch V, Chaft J, Suh R, Blasberg J, Reckamp K, Raz D, Kneuertz P, Fiorillo L, Garon E, Nicholas A, Johnson A, Schulze K, Grindheim J, Banchereau R, Phan S, Bunn P, Kwiatkowski D, Johnson B, Kris M, Wistuba I, Lee J, Lozanski G, Carbone D. OA13.07 Neoadjuvant Atezolizumab in Resectable NSCLC Patients: Immunophenotyping Results from the Interim Analysis of the Multicenter Trial LCMC3. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.482] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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39
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He J, Liu J, Zhu C, Dai T, Cai K, Zhang Z, Cheng C, Qiao K, Liu X, Wang G, Xu S, Yang R, Fan J, Li H, Jin J, Dong Q, Liang L, Ding J, He K, Liu Y, Ye J, Feng S, Jiang Y, Huang H, Zhang H, Liu Z, Feng X, Xia Z, Ma M, Duan Z, Huang T, Li Y, Shen Q, Tan W, Ma H, Sun Y, Chen C, Cui F, Wang W, Li J, Hao Z, Liu H, Liang W, Zou X, Liang H, Yang H, Li Y, Jiang S, Ng CSH, González-Rivas D, Pompeo E, Flores RM, Shargall Y, Ismail M, Bedetti B, Elkhouly AG, Ang K. Expert consensus on spontaneous ventilation video-assisted thoracoscopic surgery in primary spontaneous pneumothorax (Guangzhou). Ann Transl Med 2019; 7:518. [PMID: 31807500 DOI: 10.21037/atm.2019.10.08] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Jianxing He
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jun Liu
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Chengchu Zhu
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou 318000, China
| | - Tianyang Dai
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou 646000, China
| | - Kaican Cai
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Zhifeng Zhang
- Department of Thoracic Surgery, Jieyang People's Hospital, Jieyang 522000, China
| | - Chao Cheng
- Department of Thoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Kun Qiao
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Xiang Liu
- Department of Thoracic Surgery, Second Affiliated Hospital of the University of South China, Hengyang 420100, China
| | - Guangsuo Wang
- Department of Thoracic Surgery, People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Shun Xu
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Rusong Yang
- Department of Thoracic Surgery, Nanjing Chest Hospital, Nanjing 210000, China
| | - Junqiang Fan
- Department of Thoracic Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Hecheng Li
- Department of Thoracic Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200000, China
| | - Jiang Jin
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou 318000, China
| | - Qinglong Dong
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Lixia Liang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jinfeng Ding
- Department of Anesthesia, Taizhou Hospital, Taizhou 318000, China
| | - Kaiming He
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou 646000, China
| | - Yulin Liu
- Department of Anesthesia, Southwest Medical University Affiliated Hospital, Luzhou 646000, China
| | - Jing Ye
- Department of Anesthesia, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Siyang Feng
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Yu Jiang
- Department of Anesthesia, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Haoda Huang
- Department of Thoracic Surgery, Jieyang People's Hospital, Jieyang 522000, China
| | - Huankai Zhang
- Department of Anesthesia, Jieyang People's Hospital, Jieyang 522000, China
| | - Zhenguo Liu
- Department of Thoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Xia Feng
- Department of Anesthesia, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Zhaohua Xia
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Mingfei Ma
- Department of Anesthesia, Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Zhongxin Duan
- Department of Anesthesia, Second Affiliated Hospital of the University of South China, Guangzhou 510120, China
| | - Tonghai Huang
- Department of Thoracic Surgery, People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Yali Li
- Department of Anesthesia, People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Qiming Shen
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Wenfei Tan
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Hong Ma
- Department of Anesthesia, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Yang Sun
- Department of Anesthesia, Nanjing Chest Hospital, Nanjing 210000, China
| | - Congcong Chen
- Department of Anesthesia, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Fei Cui
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Wei Wang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jingpei Li
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Zhexue Hao
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hui Liu
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Wenhua Liang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Xusen Zou
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hengrui Liang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hanyu Yang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Yingfen Li
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Shunjun Jiang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Calvin S H Ng
- Division of Cardiothoracic Surgery, Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | | | - Eugenio Pompeo
- Department of Thoracic Surgery, Policlinico Tor Vergata University, Rome, Italy
| | - Raja M Flores
- Department of Thoracic Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yaron Shargall
- Division of Thoracic Surgery, McMaster University, St. Joseph's Healthcare, Hamilton, Canada
| | - Mahmoud Ismail
- Department of Thoracic Surgery, Klinikum Ernst von Bergmann, Academic Hospital of the Charité - Universitätsmedizin Humboldt University Berlin, Potsdam Germany
| | | | - Ahmed G Elkhouly
- Department of Cardiothoracic Surgery, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - Keng Ang
- Department of Thoracic Surgery, Nottingham City Hospital and Glenfield Hospital, Leicester, UK
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40
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Sharpnack M, Cho J, Johnson T, Otterson G, Shields P, Huang K, Carbone D, He K. P1.04-15 Smoking Status Is Not a Replacement Biomarker for Tumor Mutation Burden in Non-Small Lung Cancer. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.918] [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]
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41
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He J, Liu J, Zhu C, Dai T, Cai K, Zhang Z, Cheng C, Qiao K, Liu X, Wang G, Xu S, Yang R, Fan J, Li H, Jin J, Dong Q, Liang L, Ding J, He K, Liu Y, Ye J, Feng S, Jiang Y, Huang H, Zhang H, Liu Z, Feng X, Xia Z, Ma M, Duan Z, Huang T, Li Y, Shen Q, Tan W, Ma H, Sun Y, Chen C, Cui F, Wang W, Li J, Hao Z, Liu H, Liang W, Zou X, Liang H, Yang H, Li Y, Jiang S, Ng CSH, González-Rivas D, Pompeo E, Flores RM, Shargall Y, Ismail M, Ambrogi V, Elkhouly AG, Sung SW, Ang K. Expert consensus on tubeless video-assisted thoracoscopic surgery (Guangzhou). J Thorac Dis 2019; 11:4101-4108. [PMID: 31737292 DOI: 10.21037/jtd.2019.10.04] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jianxing He
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jun Liu
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Chengchu Zhu
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou 318000, China
| | - Tianyang Dai
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou 646000, China
| | - Kaican Cai
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Zhifeng Zhang
- Department of Thoracic Surgery, Jieyang People's Hospital, Jieyang 522000, China
| | - Chao Cheng
- Department of Thoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Kun Qiao
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Xiang Liu
- Department of Thoracic Surgery, Second Affiliated Hospital of the University of South China, Hengyang 420100, China
| | - Guangsuo Wang
- Department of Thoracic Surgery, People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Shun Xu
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Rusong Yang
- Department of Thoracic Surgery, Nanjing Chest Hospital, Nanjing 210000, China
| | - Junqiang Fan
- Department of Thoracic Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Hecheng Li
- Department of Thoracic Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200000, China
| | - Jiang Jin
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou 318000, China
| | - Qinglong Dong
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Lixia Liang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jinfeng Ding
- Department of Anesthesia, Taizhou Hospital, Taizhou 318000, China
| | - Kaiming He
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou 646000, China
| | - Yulin Liu
- Department of Anesthesia, Southwest Medical University Affiliated Hospital, Luzhou 646000, China
| | - Jing Ye
- Department of Anesthesia, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Siyang Feng
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Yu Jiang
- Department of Anesthesia, Nanfang Hospital of Southern Medical University, Guangzhou 510120, China
| | - Haoda Huang
- Department of Thoracic Surgery, Jieyang People's Hospital, Jieyang 522000, China
| | - Huankai Zhang
- Department of Anesthesia, Jieyang People's Hospital, Jieyang 522000, China
| | - Zhenguo Liu
- Department of Thoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Xia Feng
- Department of Anesthesia, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Zhaohua Xia
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Mingfei Ma
- Department of Anesthesia, Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Zhongxin Duan
- Department of Anesthesia, Second Affiliated Hospital of the University of South China, Guangzhou 510120, China
| | - Tonghai Huang
- Department of Thoracic Surgery, People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Yali Li
- Department of Anesthesia, People's Hospital of Shenzhen, Shenzhen 518000, China
| | - Qiming Shen
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Wenfei Tan
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Hong Ma
- Department of Anesthesia, First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Yang Sun
- Department of Anesthesia, Nanjing Chest Hospital, Nanjing 210000, China
| | - Congcong Chen
- Department of Anesthesia, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Fei Cui
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Wei Wang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jingpei Li
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Zhexue Hao
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hui Liu
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Wenhua Liang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Xusen Zou
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hengrui Liang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hanyu Yang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Yingfen Li
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Shunjun Jiang
- National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.,China State Key Laboratory of Respiratory Disease, Guangzhou 510120, China.,National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Calvin S H Ng
- Division of Cardiothoracic Surgery, Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | | | - Eugenio Pompeo
- Department of Thoracic Surgery, Policlinico Tor Vergata University, Rome, Italy
| | - Raja M Flores
- Department of Thoracic Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yaron Shargall
- Division of Thoracic Surgery, McMaster University, St. Joseph's Healthcare, Hamilton, Canada
| | - Mahmoud Ismail
- Department of Thoracic Surgery, Klinikum Ernst von Bergmann, Academic Hospital of the Charité - Universitätsmedizin Humboldt University Berlin, Potsdam Germany
| | - Vincenzo Ambrogi
- Department of Surgery and Experimental Medicine, Tor Vergata University of Rome, Rome, Italy
| | - Ahmed G Elkhouly
- Department of Cardiothoracic Surgery, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - Sook Whan Sung
- Department of Thoracic & Cardiovascular Surgery, Ewha Womens University Seoul Hospital, Gangseo, Seoul, Republic of Korea
| | - Keng Ang
- Department of Thoracic Surgery, Nottingham City Hospital and Glenfield Hospital, Leicester, UK
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Bertino E, Presley C, Otterson G, Owen D, He K, Carbone D, George T. EP1.12-38 Retrospective Analysis of Immunotherapy Utilization in Advanced Small Cell Carcinoma at an Academic Cancer Center. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.2281] [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]
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43
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Omar MAA, Ao Y, Li M, He K, Xu L, Tong H, Jiang M, Li F. The functional difference of eight chitinase genes between male and female of the cotton mealybug, Phenacoccus solenopsis. Insect Mol Biol 2019; 28:550-567. [PMID: 30739379 DOI: 10.1111/imb.12572] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The cotton mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) is a polyphagous insect that attacks tens of plant and causes substantial economic loss. Insect chitinases are required to remove the old cuticle to allow for continued growth and development. Though insect chitinases have been well studied in tens of insects, their functions in mealybug are still not addressed. Here, we sequenced the transcriptomes of adult males and females, from which eight chitinase genes were identified. We then used the method of rapid amplification of cDNA ends to amplify their full length. Phylogenetic analysis indicated that these genes clustered into five subgroups. Among which, group II PsCht2 had the longest transcript and was highly expressed at second instar nymph. PsCht10, PsCht3-3 and PsIDGF were highly expressed in the adult females, whereas PsCht4 and PsCht4-1 were significantly expressed at the male pupa and adult male. Next, we knocked down all eight chitinase genes by feeding the double-stranded RNA. Knockdown of PsCht4 or PsCht4-1 led to the failure of moult and, silencing PsCht5 resulted in pupation defect, while silencing PsCht10 led to small body size, suggesting these genes have essential roles in development and can be used as a potential target for pest control.
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Affiliation(s)
- Mohamed A A Omar
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
- Department of Plant Protection, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, Egypt
| | - Y Ao
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
| | - M Li
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
| | - K He
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
| | - L Xu
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
| | - H Tong
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
| | - M Jiang
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
| | - F Li
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects/Institute of Insect Science, Zhejiang University, Hangzhou, China
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44
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45
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Liu J, Li J, Liang H, Cui F, Wang W, Huang J, Peng G, Huang W, Wang Y, He K, Pan Q, He J. Is the Glasses-Free 3-Dimensional Display System More Effective for Complex Video-Assisted Thoracic Surgery? A Self-Controlled Study Ex Vivo. Surg Innov 2019; 26:712-719. [PMID: 31296133 DOI: 10.1177/1553350619853136] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 11/17/2022]
Abstract
Objective. Considering the demerits of a high-definition 2-dimensional (HD-2D) system, with its lack of stereopsis, and a conventional 3-dimensional (C-3D) system, which results in a dimmed image, we have recently developed a glasses-free 3-dimensional (GF-3D) display system for reconstruction surgeries such as video-assisted thoracic surgery (VATS) for tracheal reconstruction. Methods. Thoracic surgeons were invited to complete thoracoscopic continuous suture of a transected porcine trachea using the HD-2D, C-3D, and GF-3D systems on separate mornings in randomized order. The duration, numbers of stitches, and distance between every 2 stitches were recorded for every procedure. The surgeons' spontaneous eye blink rate was recorded for 5 minutes before the procedure and the last 5 minutes of the procedure. Results. Fifteen volunteers successfully completed the tracheal reconstruction procedures in this study. Both C-3D (0.403 ± 0.064 stitch/min, P < .001) and GF-3D (0.427 ± 0.079 stitch/min, P < .001) showed significant advantages in speed compared with HD-2D (0.289 ± 0.065 stitch/min). Both C-3D (2.536 ± 2.223 mm, P < .001) and GF-3D (2.603 ± 2.159 mm, P < .001) showed significant advantages in accuracy compared with HD-2D (3.473 ± 3.403 mm). Both HD-2D (1.240 ± 0.642, P < .001) and GF-3D (1.307 ± 0.894, P < .001) showed significant advantages in eye fatigue compared with C-3D (3.333 ± 1.44). Conclusions. All 3 available display systems are efficient for complex VATS. With the help of stereopsis, surgeons can achieve faster operation using C-3D and GF-3D systems in a thoracoscopic simulated setting. GF-3D may be a more effective display system for VATS reconstruction in terms of speed, accuracy, and eye fatigue during operations.
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Affiliation(s)
- Jun Liu
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Jingpei Li
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Hengrui Liang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Fei Cui
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Wei Wang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Jun Huang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Guilin Peng
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Weizhe Huang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
| | - Yidong Wang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kaiming He
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Qi Pan
- The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Jianxing He
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangzhou Institute of Respiratory Health (GIRH), Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou, China
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Yang S, Wu H, He K, Yan T, Zhou J, Zhao LL, Sun JL, Lian WQ, Zhang DM, Du ZJ, Luo W, He Z, Ye X, Li SJ. Response of AMP-activated protein kinase and lactate metabolism of largemouth bass (Micropterus salmoides) under acute hypoxic stress. Sci Total Environ 2019; 666:1071-1079. [PMID: 30970473 DOI: 10.1016/j.scitotenv.2019.02.236] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [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: 11/10/2018] [Revised: 02/15/2019] [Accepted: 02/15/2019] [Indexed: 05/12/2023]
Abstract
To study adaptation of largemouth bass (Micropterus salmoides) to hypoxic stress, we investigated physiological responses and lactate metabolism of the fish under acute hypoxia. The objectives of this study were to (a) observe changes in glucose, glycogen, and lactate content; (b) detect the activity of lactate dehydrogenase (LDH) in serum, brain, heart, and liver tissues; and (c) quantify the dynamic gene expression of AMP activated protein kinase alpha (AMPKα), hypoxia-inducible factor-1 alpha (HIF-1α), monocarboxylate transporter 1 (MCT1), monocarboxylate transporter 4 (MCT4), and lactate dehydrogenase-a (LDHa) following exposure to hypoxia. The fish were subjected to two hypoxia stresses (dissolved oxygen [DO] 1.20 ± 0.2 mg/L and 3.50 ± 0.3 mg/L, respectively) for 24 h. Our results showed that hypoxic stress significantly increased the decomposition of liver glycogen and significantly increased the concentration of blood glucose; however, the muscle glycogen content was not significantly decreased, which indicates that liver glycogen was the main energy source under acute hypoxia. Moreover, hypoxia led to accumulation of a large amount of lactic acid in tissues, possibly due to the activity of lactic acid dehydrogenase, but this process was delayed in the heart and brain relative to the liver. Additionally, hypoxia induced the expression of AMPKα, HIF-1α, MCT1, MCT4, and LDHa, suggesting that glycometabolism had switched from aerobic to anaerobic. Our results contribute to a better understanding of the molecular mechanisms of the response to hypoxia in largemouth bass.
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Affiliation(s)
- S Yang
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - H Wu
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - K He
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - T Yan
- Fisheries Institute of Sichuan Academy of Agricultural Science, Chengdu, Sichuan 611731, China
| | - J Zhou
- Fisheries Institute of Sichuan Academy of Agricultural Science, Chengdu, Sichuan 611731, China.
| | - L L Zhao
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China.
| | - J L Sun
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - W Q Lian
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - D M Zhang
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - Z J Du
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - W Luo
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - Z He
- College of Animal Science and Technology, Sichuan Agricultural University (SICAU), Wenjiang, Chengdu, Sichuan 611130, China
| | - X Ye
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - S J Li
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
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Zhao X, Situ G, He K, Xiao H, Su C, Li F. Functional analysis of eight chitinase genes in rice stem borer and their potential application in pest control. Insect Mol Biol 2018; 27:835-846. [PMID: 30058753 DOI: 10.1111/imb.12525] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Insect chitinases participate in numerous physiological processes such as nutrition, parasitism, morphogenesis and immunity. These properties make chitinases good targets for pest control. Rice striped stem borer (SSB), Chilo suppressalis Walker, is one of the most destructive pests of rice causing huge yield losses. In our previous work, we reported the identification of 12 SSB chitinase (CsCht) genes, and studied the functions of CsCht1 to 4. Here, we have extended our study to investigate the expression patterns and functions of CsCht5 to 12. All eight chitinase genes displayed distinct temporospatial expression profiles. We looked at the effect of knocking down each gene at the developmental stage where highest expression was observed. Knocking down CsCht5, CsCht6 and CsCht8 resulted in high mortality and delayed development. Although silencing CsCht7, CsCht9, CsCht10, CsCht11 and CsCht12 had no apparent effect on development, knocking down CsCht10 in SSB individuals that were simultaneously treated with Beauveria bassiana (Bb84) led to higher mortality rates and quicker death, suggesting CsCht10 has an essential role in protecting SSB from exogenous microorganisms. In summary, we elucidated the functions of eight SSB chitinase genes and found that CsCht10 could be a good candidate for pest control.
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Affiliation(s)
- X Zhao
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - G Situ
- Department of Entomology, Nanjing Agricultural University, Nanjing, China
| | - K He
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
| | - H Xiao
- College of Life Sciences and Resource Environment, Yichun University, Yichun, China
| | - C Su
- Department of Entomology, Nanjing Agricultural University, Nanjing, China
| | - F Li
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China
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48
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Zhang X, Zhang B, Guo Y, Wang J, Zhao P, Liu J, He K. Colistin resistance prevalence in Escherichia coli from domestic animals in intensive breeding farms of Jiangsu Province. Int J Food Microbiol 2018; 291:87-90. [PMID: 30476737 DOI: 10.1016/j.ijfoodmicro.2018.11.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [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: 05/08/2018] [Revised: 10/26/2018] [Accepted: 11/16/2018] [Indexed: 11/15/2022]
Abstract
The global dissemination of colistin resistance has received a great deal of attention. Recently, the plasmid-mediated colistin resistance encoded by mcr genes in Escherichia coli (E. coli) strains from animals, food, and patients in China has been reported frequently. To investigate the colistin resistance and mcr-1 and mcr-2 genes spread in domestic animals in Jiangsu Province, we collected fecael swabs from pigs, chicken and cattle at different ages distributed in intensive feeding farms. The selective chromogenic agar and mcr-PCR were used to screen the colistin resistance and mcr gene carriage. Colistin resistant E. coli colonies were identified in 54.25% (440/811), 35.96% (443/1232), and 26.92% (42/156) faecal swabs from pigs, chickens, and cattle, respectively. The prevalence of mcr-1 in colistin resistant E. coli isolates from pigs, chickens and cattle was 68.86% (303/440), 87.58% (388/443), and 71.43% (30/42), respectively, compared to mcr-2 which was present in 46.82% (206/440), 14.90% (66/443), and 19.05% (8/42) of the colistin-resistant E. coli isolated from pigs, chickens and cattle, respectively. Co-occurrence of mcr-1 and mcr-2 was identified in 20% (88/440) in pigs, 7.22% (32/443) in chickens, and 9.52% (4/42) in cattle. Interventions and alternative options are necessary to minimise further dissemination of mcr between food-producing animals and human.
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Affiliation(s)
- X Zhang
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Engineering Research of Veterinary Bio-products of Agricultural Ministry, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China.
| | - B Zhang
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Engineering Research of Veterinary Bio-products of Agricultural Ministry, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - Y Guo
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Engineering Research of Veterinary Bio-products of Agricultural Ministry, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - J Wang
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Engineering Research of Veterinary Bio-products of Agricultural Ministry, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - P Zhao
- College of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - J Liu
- College of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - K He
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Engineering Research of Veterinary Bio-products of Agricultural Ministry, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
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49
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Chen C, Xun P, Hayden K, Whitsel E, Espeland M, Wang X, Chen J, He K. INTAKE OF B VITAMINS REDUCES THE ADVERSE EFFECT OF PM2.5 EXPOSURE ON DEMENTIA RISK IN OLDER WOMEN. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2628] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- C Chen
- Department of Epidemiology and Biostatistics, School of Public Health -- Bloomington, Indiana University
| | - P Xun
- Department of Epidemiology and Biostatistics, School of Public Health -- Bloomington, Indiana University
| | - K Hayden
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine
| | - E Whitsel
- UNC Gillings School of Global Public Health
| | | | - X Wang
- Department of Research and Evaluation, Kaiser Permanente Southern California
| | - J Chen
- Department of Preventive Medicine Keck School of Medicine, University of Southern California
| | - K He
- Department of Epidemiology and Biostatistics, School of Public Health -- Bloomington, Indiana University
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50
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Owen D, Burkart J, Patel S, Wei L, Tinoco G, Liebner D, He K, Shields P, Bertino E, Presley C, Johns A, Folefac E, Olencki T, Carbone D, Verschraegen C, Otterson G, Kendra K. Immune related adverse events across cancer types: Incidence, risk factors and survival. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy300.088] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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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