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Cai L, Lin L, Lin S, Wang X, Chen Y, Zhu H, Zhu Z, Yang L, Xu X, Yang C. Highly Multiplexing, Throughput and Efficient Single-Cell Protein Analysis with Digital Microfluidics. Small Methods 2024:e2400375. [PMID: 38607945 DOI: 10.1002/smtd.202400375] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Proteins as crucial components of cells are responsible for the majority of cellular processes. Sensitive and efficient protein detection enables a more accurate and comprehensive investigation of cellular phenotypes and life activities. Here, a protein sequencing method with high multiplexing, high throughput, high cell utilization, and integration based on digital microfluidics (DMF-Protein-seq) is proposed, which transforms protein information into DNA sequencing readout via DNA-tagged antibodies and labels single cells with unique cell barcodes. In a 184-electrode DMF-Protein-seq system, ≈1800 cells are simultaneously detected per experimental run. The digital microfluidics device harnessing low-adsorbed hydrophobic surface and contaminants-isolated reaction space supports high cell utilization (>90%) and high mapping reads (>90%) with the input cells ranging from 140 to 2000. This system leverages split&pool strategy on the DMF chip for the first time to overcome DMF platform restriction in cell analysis throughput and replace the traditionally tedious bench-top combinatorial barcoding. With the benefits of high efficiency and sensitivity in protein analysis, the system offers great potential for cell classification and drug monitoring based on protein expression at the single-cell level.
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Affiliation(s)
- Linfeng Cai
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Li Lin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Shiyan Lin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xuanqun Wang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Yingwen Chen
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Huanghuang Zhu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Zhi Zhu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Liu Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xing Xu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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Cai L, Zhu CX, Zhang XL, Fang Y, Yang HY, Guo LW. [Interpretation of global lung cancer statistics]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:585-590. [PMID: 38678357 DOI: 10.3760/cma.j.cn112338-20230920-00172] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
Lung cancer remains one of the leading cause of global cancer-related mortality, posing a significant burden of disease. Tobacco exposure stands as the foremost risk factor for lung cancer. Since the 1960, global efforts have gradually been implemented to control tobacco exposure, consequently reducing tobacco exposure levels within populations. This shift in exposure levels may have altered the epidemiological characteristics of lung cancer globally. This study aims to describe global lung cancer incidence data across five dimensions: age, gender, region, stage at diagnosis, and survival status, using global cancer registry data and relevant research findings. The objective is to elucidate the current epidemiological features of lung cancer worldwide, providing a scientific basis for lung cancer prevention and control. Furthermore, this study offers corresponding measures and recommendations for lung cancer prevention and control, aligning with the three-tiered cancer prevention strategy. Findings indicate that the incidence and mortality burden of lung cancer is significantly higher among the elderly population (aged 65 years and above) compared to the working-age population (aged 15-64 years). The aged-standardized incidence rate of lung cancer remains higher in males than in females, but the overall aged-standardized incidence rate of lung cancer in males shows a declining trend, while that in females shows an increasing trend. Regions with high and very high human development index (HDI) exhibit a substantially higher incidence and mortality burden of lung cancer compared to regions with low and very low HDI. Japan ranks highest in the diagnosis of stage Ⅰ lung cancer, with a diagnosis rate of 38.6%. Its age-standardized 5-year net survival rate is relatively high at 32.9%. Despite improvements in the survival status of lung cancer in certain countries like China and Japan, the overall prognosis for lung cancer remains pessimistic. Given the current epidemiological characteristics of lung cancer, reinforcing tobacco control measures and reducing female-specific lung cancer risk factors stand as significant goals for primary prevention. Promoting low-dose computed tomography screening for high-risk population, minimizing false-positive rates in lung cancer screening, and promoting medical system reforms and standardized treatment constitute principal measures for secondary and tertiary lung cancer prevention, respectively.
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Affiliation(s)
- L Cai
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Office for Cancer Control and Research, Zhengzhou 450008, China Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - C X Zhu
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Office for Cancer Control and Research, Zhengzhou 450008, China Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - X L Zhang
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Office for Cancer Control and Research, Zhengzhou 450008, China Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Y Fang
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Office for Cancer Control and Research, Zhengzhou 450008, China Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - H Y Yang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Office for Cancer Control and Research, Zhengzhou 450008, China Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
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Lv A, BianBaZhuoMa, DeQiong, DaWaZhuoMa, PuBuZhuoMa, Yao D, LangJiQuZhen, Lu Y, Cai L, DaZhen, Tang C, BianBaZhuoMa, Zhang Y, Yin J, Ding T, DaWaCang, Wu M, Chen Y, Li Y. Effect of COVID-19 infection on pregnant women in plateau regions. Public Health 2024; 229:57-62. [PMID: 38401193 DOI: 10.1016/j.puhe.2023.12.029] [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: 08/21/2023] [Revised: 12/04/2023] [Accepted: 12/28/2023] [Indexed: 02/26/2024]
Abstract
OBJECTIVE The present study aims to explore the effect of COVID-19 infection on pregnant women in plateau regions. STUDY DESIGN Data from 381 pregnant women infected with COVID-19 who underwent prenatal examination or treatment at Women and Children's Hospital of Tibet Autonomous Region between January 2020 and December 2022 and 314 pregnant women not infected with COVID-19 were retrospectively collected. METHODS The study participants were divided into an infected and non-infected group according to whether they were infected with COVID-19. Basic information (ethnicity, age, body mass index and gestational age [GA]), vaccination status, intensive care unit (ICU) admission and delivery outcomes were compared. Binary logistic regression was used to analyse the influencing factors of ICU admission. RESULTS The results revealed significant differences in the GA, vaccination rate, blood pressure, partial pressure of oxygen, white blood cell (WBC) count, ICU admission rate, preeclampsia rate, forearm presentation rate, thrombocytopenia rate, syphilis infection rate and placental abruption rate between the two groups (P < 0.05). A univariate analysis showed that COVID-19 infection, hepatitis B virus infection, the WBC count and hypoproteinaemia were risk factors for ICU admission. The results of the multivariate analysis of the ICU admission of pregnant women showed that COVID-19 infection (odds ratio [OR] = 4.271, 95 % confidence interval [CI]: 3.572-5.820, P < 0.05) was a risk factor for ICU admission and the WBC count (OR = 0.935, 95 % CI: 0.874-0.947, P < 0.05) was a protective factor for ICU admission. CONCLUSION Pregnant women are vulnerable to the adverse consequences of COVID-19 infection, and public health measures such as vaccination are needed to protect this population subgroup.
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Affiliation(s)
- A Lv
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, PR China; Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - BianBaZhuoMa
- Lhasa People's Hospital, No. 1, Beijing Middle Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - DeQiong
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaWaZhuoMa
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - PuBuZhuoMa
- Lhasa People's Hospital, No. 1, Beijing Middle Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - D Yao
- Nyingchi People's Hospital, No. 11, Water Garden, Bayi Town, Bayi District, Nyingchi City, Tibet Autonomous Region, 860000, PR China
| | - LangJiQuZhen
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - Y Lu
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - L Cai
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaZhen
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - C Tang
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - BianBaZhuoMa
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - Y Zhang
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - J Yin
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - T Ding
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaWaCang
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - M Wu
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - Y Chen
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - Y Li
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, PR China.
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Chen Y, Wang X, Na X, Zhang Y, Li Z, Chen X, Cai L, Song J, Xu R, Yang C. Highly Multiplexed, Efficient, and Automated Single-Cell MicroRNA Sequencing with Digital Microfluidics. Small Methods 2024; 8:e2301250. [PMID: 38016072 DOI: 10.1002/smtd.202301250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/14/2023] [Indexed: 11/30/2023]
Abstract
Single-cell microRNA (miRNA) sequencing has allowed for comprehensively studying the abundance and complex networks of miRNAs, which provides insights beyond single-cell heterogeneity into the dynamic regulation of cellular events. Current benchtop-based technologies for single-cell miRNA sequencing are low throughput, limited reaction efficiency, tedious manual operations, and high reagent costs. Here, a highly multiplexed, efficient, integrated, and automated sample preparation platform is introduced for single-cell miRNA sequencing based on digital microfluidics (DMF), named Hiper-seq. The platform integrates major steps and automates the iterative operations of miRNA sequencing library construction by digital control of addressable droplets on the DMF chip. Based on the design of hydrophilic micro-structures and the capability of handling droplets of DMF, multiple single cells can be selectively isolated and subject to sample processing in a highly parallel way, thus increasing the throughput and efficiency for single-cell miRNA measurement. The nanoliter reaction volume of this platform enables a much higher miRNA detection ability and lower reagent cost compared to benchtop methods. It is further applied Hiper-seq to explore miRNAs involved in the ossification of mouse skeletal stem cells after bone fracture and discovered unreported miRNAs that regulate bone repairing.
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Affiliation(s)
- Yingwen Chen
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xuanqun Wang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xing Na
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Yingkun Zhang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Zan Li
- Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Xiaohui Chen
- State Key Laboratory of Cellular Stress Biology, The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, 361100, China
- Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361100, China
| | - Linfeng Cai
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Jia Song
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Ren Xu
- State Key Laboratory of Cellular Stress Biology, The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, 361100, China
- Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361100, China
| | - Chaoyong Yang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
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Cui AL, Xia BC, Zhu Z, Xie ZB, Sun LW, Xu J, Xu J, Li Z, Zhao LQ, Long XR, Yu DS, Zhu B, Zhang F, Mu M, Xie H, Cai L, Zhu Y, Tian XL, Wang B, Gao ZG, Liu XQ, Ren BZ, Han GY, Hu KX, Zhang Y. [Epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:1-7. [PMID: 38403282 DOI: 10.3760/cma.j.cn112150-20231213-00440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Objective: To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023. Methods: The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed. Results: A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M (Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant (P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age (P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion: Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.
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Affiliation(s)
- A L Cui
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - B C Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Zhu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z B Xie
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L W Sun
- Precision Medicine Research Center, Children's Hospital of Changchun, Changchun 130061, China
| | - J Xu
- Institute of Expanded Immunization Program, Henan Provincial Center for Disease Control and Prevention, Zhengzhou 450016, China
| | - J Xu
- National institute for viral disease control and prevention, Shaanxi provincial center for disease control and prevention, Xi'an 710054, China
| | - Z Li
- Institute for Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - L Q Zhao
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - X R Long
- Department of Infectious Diseases, Children's Hospital Affiliated to Chongqing Medical University, Chongqing 400014, China
| | - D S Yu
- Institute of Pathogen testing, Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - B Zhu
- Virus Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China
| | - F Zhang
- aboratory of Viral diseases, Qingdao Municipal Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao 266000, China
| | - M Mu
- School of Public Health, Anhui University of Science and Technology, Huainan 232001, China
| | - H Xie
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China
| | - L Cai
- Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
| | - Y Zhu
- Laboratory of Infection and Virology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - X L Tian
- Department of Immunization Program, Neimeng Provincial Center for Disease Control and Prevention, Huhehaote 010000, China
| | - B Wang
- Department of Infectious Diseases, Shenyang Prefecture Center for Disease Control and Prevention, Shenyang 110000, China
| | - Z G Gao
- Institute for infectious disease prevention and treatment, Xinjiang Center for Disease Control and Prevention, Wulumuqi 830002, China
| | - X Q Liu
- Laboratory of Viral Infectious Disease, Key Laboratory of Important and Emerging Viral Infectious Diseases of Jiangxi Health Commission, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
| | - B Z Ren
- Division of Diseases Detection, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan 030012, China
| | - G Y Han
- Institute for Viral Disease Control and Prevention, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - K X Hu
- Institute of Health Inspection and Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100123, China
| | - Y Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Liu W, Cai L, Li Y. Application of natural language processing to post-structuring of rectal cancer MRI reports. Clin Radiol 2024; 79:e204-e210. [PMID: 38042740 DOI: 10.1016/j.crad.2023.10.032] [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] [Received: 07/27/2023] [Revised: 10/20/2023] [Accepted: 10/26/2023] [Indexed: 12/04/2023]
Abstract
AIM To evaluate a natural language processing (NLP) system for extracting structured information from the free-form text of rectal cancer magnetic resonance imaging (MRI) reports written in Chinese. MATERIALS AND METHODS A rule-based NLP model that could extract 11 key image features of rectal cancer was constructed using 358 MRI reports of rectal cancer written between 2015 and 2021. Fifty reports written before 2015 and 50 written after 2021 were used as test datasets, and the reference standard was determined by manual extraction of information by two radiologists. The length and reporting rate of image features in pre-2015 and post-2021 datasets, as well as the accuracy, precision, recall, and F1 score of feature extraction by the NLP system, were compared. The time required for the NLP to extract data was compared with that required by the radiologists. RESULTS Reports written after 2021 had longer diagnostic impression sections than reports written before 2015. The reporting rate of key imaging features of rectal cancer was 36.55% before 2015 and 79.82% after 2021. The accuracy, precision, recall, and F1 score of NLP for correct extraction of values from reports were 93.82%, 95.63%, 87.06%, and 91.15%, respectively, for pre-2015 reports, and 92.55%, 98.53%, 94.15%, and 96.29%, respectively, for post-2021 reports. NLP generated all the structured information in <1 second. CONCLUSIONS The NLP system with rule-based pattern matching achieved rapid and accurate structured processing of rectal cancer MRI reports. MRI reports with structured templates are more suitable for NLP-based extraction of information.
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Affiliation(s)
- W Liu
- Department of Radiology, Aerospace Center Hospital, Beijing, 100049, China; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - L Cai
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Y Li
- Department of General Surgery, Aerospace Center Hospital, Beijing, 100049, China.
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Guo LW, Zhang XL, Cai L, Zhu CX, Fang Y, Yang HY, Chen HD. [Current status of global colorectal cancer prevalence, prevention and control]. Zhonghua Zhong Liu Za Zhi 2024; 46:57-65. [PMID: 38246781 DOI: 10.3760/cma.j.cn112152-20231024-00213] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Objective: This paper provides a brief overview of the epidemiology of colorectal cancer in China and around the world, and discusses how to prevent colorectal cancer to reduce its disease burden. Method: Using the official database of GLOBOCAN 2020, the China Cancer Registry Annual Report compiled by the National Cancer Center, and data from CONCORD-3.Data management was performed by Microsoft Excel 2016 and R 4.2.1 Relevant graphs were generated using the ggplot2 package for result visualization. Result: An estimated 1 931 590 people were diagnosed with colorectal cancer worldwide in 2020 with an age-standardized incidence rate of 19.5 per 100 000. There were about 935 173 deaths caused by colorectal cancer internationally, with an age-standardized mortality rate of 9.0 per 100 000. Overall, colorectal cancer was the fourth most commonly diagnosed cancer and the third leading cause of cancer-related death worldwide in 2020. In China, the age-standardized incidence rate and mortality rate of colorectal cancer was 17.3 per 100 000 and 7.8 per 100 000, respectively. Gender differences in trends were observed, with a decreasing trend in incidence and mortality among females and an increasing trend in incidence and mortality among males. The primary risk factors for colorectal cancer include age, genetic factors, gastrointestinal disorders, dietary habits, and lifestyle et al. Conclusions: Colorectal cancer poses a significant burden globally and in China. The occurrence of colorectal cancer is closely related to physiology, genetics, behavioral habits, lifestyle, and disease factors. To better control the colorectal cancer burden with the lowest cost, specific measures should be taken to reduce exposure to established risk factors. By combining the disease prevention and control strategies of tertiary prevention in China with the characteristic factors of colorectal cancer, the incidence and mortality of colorectal cancer may be effectively controlled.
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Affiliation(s)
- L W Guo
- Henan Office for Cancer Control and Research, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, China
| | - X L Zhang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - L Cai
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - C X Zhu
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Y Fang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - H Y Yang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - H D Chen
- Center for Prevention and Early Intervention,National Infrastructures for Translational Medicine,Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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8
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Preedanon S, Suetrong S, Srihom C, Somrithipol S, Kobmoo N, Saengkaewsuk S, Srikitikulchai P, Klaysuban A, Nuankaew S, Chuaseeharonnachai C, Chainuwong B, Muangsong C, Zhang Z, Cai L, Boonyuen N. Eight novel cave fungi in Thailand's Satun Geopark. Fungal Syst Evol 2023; 12:1-30. [PMID: 38455950 PMCID: PMC10915585 DOI: 10.3114/fuse.2023.12.01] [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: 04/04/2023] [Accepted: 06/12/2023] [Indexed: 03/09/2024] Open
Abstract
Karst caves are unique oligotrophic ecosystems characterised by the scarcity of organic litter, darkness, low to moderate temperatures, and high humidity, supporting diverse fungal communities. Despite their importance, little is known about the fungi in karst caves in Thailand. In 2019, we explored the culturable mycobiota associated with three selected types of substrates (air, soil/sediment and organic litter samples) from two karst caves, the Le Stegodon and Phu Pha Phet Caves, in the Satun UNESCO Global Geopark in southern Thailand. Based on morphological characters and multilocus phylogenetic analyses, eight new species (Actinomortierella caverna, Hypoxylon phuphaphetense, Leptobacillium latisporum, Malbranchea phuphaphetensis, Scedosporium satunense, Sesquicillium cavernum, Thelonectria satunensis and Umbelopsis satunensis) were described, illustrated, and compared to closely related species. These new fungal taxa form independent lineages distinct from other previously described species and classified into eight different families across six orders and two phyla (Ascomycota and Mucoromycota). This paper provides additional evidence that the karst caves located within the Satun UNESCO Global Geopark, situated in the southern region of Thailand, harbour a diverse range of newly discovered species. Citation: Preedanon S, Suetrong S, Srihom C, Somrithipol S, Kobmoo N, Saengkaewsuk S, Srikitikulchai P, Klaysuban A, Nuankaew S, Chuaseeharonnachai C, Chainuwong B, Muangsong C, Zhang ZF, Cai L, Boonyuen N (2023). Eight novel cave fungi in Thailand's Satun Geopark. Fungal Systematics and Evolution 12: 1-30. doi: 10.3114/fuse.2023.12.01.
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Affiliation(s)
- S. Preedanon
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - S. Suetrong
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - C. Srihom
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - S. Somrithipol
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - N. Kobmoo
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - S. Saengkaewsuk
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - P. Srikitikulchai
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - A. Klaysuban
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - S. Nuankaew
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - C. Chuaseeharonnachai
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - B. Chainuwong
- National Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
| | - C. Muangsong
- Innovation for Social and Environmental Management, Mahidol University (MU), Amnatcharoen Campus, Amnatcharoen 37000, Thailand
| | - Z.F. Zhang
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 51145, China
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing 100101, China
| | - N. Boonyuen
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Nueng, Khlong Luang, Pathum Thani 12120, Thailand
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Xiao Y, Miao Z, Sun J, Xing W, Wei Y, Bai J, Ye H, Si Y, Cai L. Allisartan Isoproxil Promotes Uric Acid Excretion by Interacting with Intestinal Urate Transporters in Hyperuricemic Zebrafish (Danio rerio). Bull Exp Biol Med 2023; 175:638-643. [PMID: 37853267 DOI: 10.1007/s10517-023-05917-9] [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: 08/12/2022] [Indexed: 10/20/2023]
Abstract
To evaluate the urate-lowering effect and potential drug targets of antihypertensive agent allisartan isoproxil (ALI) and its bioactive metabolite EXP3174, we developed an acute hyperuricemic zebrafish model using potassium oxonate and xanthine sodium salt. Losartan potassium served as the positive control (reference drug). In this model, ALI and losartan potassium exerted a greater urate-lowering effect than EXP3174 indicating that the latter is not the critical substance for elimination of uric acid. The quantitative real-time PCR showed that ALI upregulates the expression of intestinal urate transporters genes ABCG2, PDZK1, and SLC2A9 (p<0.01). Thus, we can suggest that this substance promotes uric acid excretion mainly by interacting with intestinal urate transporters.
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Affiliation(s)
- Y Xiao
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - Z Miao
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
| | - J Sun
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - W Xing
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - Y Wei
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
| | - J Bai
- Shenzhen Salubris Pharmaceutical Co., Ltd, Shenzhen, Guangdong, China
| | - H Ye
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
| | - Y Si
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China
- College of Life Science and Engineering, Foshan University, Foshan, Guangdong, China
| | - L Cai
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, Guangdong, China.
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Han S, Wang M, Ma Z, Raza M, Zhao P, Liang J, Gao M, Li Y, Wang J, Hu D, Cai L. Fusarium diversity associated with diseased cereals in China, with an updated phylogenomic assessment of the genus. Stud Mycol 2023; 104:87-148. [PMID: 37351543 PMCID: PMC10282163 DOI: 10.3114/sim.2022.104.02] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 09/14/2022] [Accepted: 01/17/2023] [Indexed: 11/26/2023] Open
Abstract
Fusarium species are important cereal pathogens that cause severe production losses to major cereal crops such as maize, rice, and wheat. However, the causal agents of Fusarium diseases on cereals have not been well documented because of the difficulty in species identification and the debates surrounding generic and species concepts. In this study, we used a citizen science initiative to investigate diseased cereal crops (maize, rice, wheat) from 250 locations, covering the major cereal-growing regions in China. A total of 2 020 Fusarium strains were isolated from 315 diseased samples. Employing multi-locus phylogeny and morphological features, the above strains were identified to 43 species, including eight novel species that are described in this paper. A world checklist of cereal-associated Fusarium species is provided, with 39 and 52 new records updated for the world and China, respectively. Notably, 56 % of samples collected in this study were observed to have co-infections of more than one Fusarium species, and the detailed associations are discussed. Following Koch's postulates, 18 species were first confirmed as pathogens of maize stalk rot in this study. Furthermore, a high-confidence species tree was constructed in this study based on 1 001 homologous loci of 228 assembled genomes (40 genomes were sequenced and provided in this study), which supported the "narrow" generic concept of Fusarium (= Gibberella). This study represents one of the most comprehensive surveys of cereal Fusarium diseases to date. It significantly improves our understanding of the global diversity and distribution of cereal-associated Fusarium species, as well as largely clarifies the phylogenetic relationships within the genus. Taxonomic novelties: New species: Fusarium erosum S.L. Han, M.M. Wang & L. Cai, Fusarium fecundum S.L. Han, M.M. Wang & L. Cai, Fusarium jinanense S.L. Han, M.M. Wang & L. Cai, Fusarium mianyangense S.L. Han, M.M. Wang & L. Cai, Fusarium nothincarnatum S.L. Han, M.M. Wang & L. Cai, Fusarium planum S.L. Han, M.M. Wang & L. Cai, Fusarium sanyaense S.L. Han, M.M. Wang & L. Cai, Fusarium weifangense S.L. Han, M.M. Wang & L. Cai. Citation: Han SL, Wang MM, Ma ZY, Raza M, Zhao P, Liang JM, Gao M, Li YJ, Wang JW, Hu DM, Cai L (2023). Fusarium diversity associated with diseased cereals in China, with an updated phylogenomic assessment of the genus. Studies in Mycology 104: 87-148. doi: 10.3114/sim.2022.104.02.
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Affiliation(s)
- S.L. Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, P. R. China;
| | - M.M. Wang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
| | - Z.Y. Ma
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, P. R. China;
| | - M. Raza
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
| | - P. Zhao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
| | - J.M. Liang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
| | - M. Gao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, P. R. China;
| | - Y.J. Li
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, P. R. China;
| | - J.W. Wang
- Institute of Biology Co., Ltd., Henan Academy of Science, Zheng Zhou 450008, Henan, P. R. China;
| | - D.M. Hu
- College of Bioscience & Engineering, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, P. R. China
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China;
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, P. R. China;
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11
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Chen ZQ, Zhang D, Wang Z, Song N, Ma AL, Zhang SR, Cai L. [The value of DISCO and MUSE-DWI combined with prostate specific antigen density in the diagnosis and risk stratification of prostate cancer]. Zhonghua Yi Xue Za Zhi 2023; 103:1461-1468. [PMID: 37198108 DOI: 10.3760/cma.j.cn112137-20221018-02176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Objective: To explore the value of differential subsampling with cartesian ordering (DISCO) and multiplexed sensitivity-encoding diffusion weighted-imaging (MUSE-DWI) combined with prostate specific antigen density (PSAD) in the diagnosis and risk stratification of prostate cancer (PCa). Methods: The data of 183 patients [aged from 48 to 86 (68±8) years] with prostate diseases in the General Hospital of Ningxia Medical University from July 2020 to August 2021 were retrospectively collected. Those patients were divided into non-PCa group (n=115) and PCa group (n=68) based on the disease condition. According to the risk degree, PCa group was subdivided into low risk PCa group (n=14) and medium-to-high risk PCa group (n=54). The differences of volume transfer constant (Ktrans), rate constant (Kep), extracellular volume fraction (Ve), apparent diffusion coefficient (ADC) and PSAD between groups were analyzed. Receiver operating characteristic (ROC) curves analysis were conducted for evaluating the diagnostic efficacy of quantitative parameters and PSAD in distinguishing non-PCa and PCa, low-risk PCa and medium-high risk PCa. Multivariate logistic regression model was used for screening out the predictors, which was statistically significant differences between non-PCa group and PCa group, for PCa prediction. Results: Ktrans, Kep, Ve and PSAD of PCa group all were higher than those of non-PCa group, and ADC value was lower than that of non-PCa group, and the differences all were statistically significant (all P<0.001). Ktrans, Kep and PSAD of medium-to-high risk PCa group all were higher than those of low risk PCa group, and ADC value was lower than that of low risk PCa group, and the differences were all statistically significant (all P<0.001). When distinguishing non-PCa from PCa, the area under ROC curve (AUC) of the combined model (Ktrans+Kep+Ve+ADC+PSAD) was higher than that of any single index [0.958 (95%CI: 0.918-0.982) vs 0.881 (95%CI: 0.825-0.924), 0.836 (95%CI: 0.775-0.887), 0.672 (95%CI: 0.599-0.740), 0.940(95%CI: 0.895-0.969), 0.816(95%CI:0.752-0.869), all P<0.05]. When distinguishing low-risk PCa and medium-to-high risk PCa, the AUC of the combined model (Ktrans+Kep+ADC+PSAD) were higher than those of Ktrans, Kep and PSAD[0.933 (95%CI: 0.845-0.979) vs 0.846 (95%CI:0.738-0.922), 0.782 (95%CI:0.665-0.873), 0.84 8(95%CI: 0.740-0.923), all P<0.05]. The multivariate logistic regression analysis showed that Ktrans (OR=1.005, 95%CI:1.001-1.010) and ADC values (OR=0.992, 95%CI:0.989-0.995) were predictors of PCa (P<0.05). Conclusions: DISCO and MUSE-DWI combined with PSAD can distinguish benign and malignant prostate lesions. Ktrans and ADC values were predictors of PCa; Ktrans, Kep, ADC values and PSAD are helpful in predicting the biological behavior of PCa.
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Affiliation(s)
- Z Q Chen
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - D Zhang
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - Z Wang
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - N Song
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - A L Ma
- Department of Pathology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - S R Zhang
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - L Cai
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
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Song XX, Cai L, Liu W, Cui WL, Peng X, Li QF, Dong Y, Yang MD, Wu BQ, Yue TK, Fan JH, Li YY, Li Y. [Development and application syndromic surveillance and early warning system in border area in Yunnan Province]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:845-850. [PMID: 37221077 DOI: 10.3760/cma.j.cn112338-20221013-00882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Objective: To establish a dynamic syndromic surveillance system in the border areas of Yunnan Province based on information technology, evaluate its effectiveness and timeliness in the response to common communicable disease epidemics and improve the communicable disease prevention and control in border areas. Methods: Three border counties were selected for full coverage as study areas, and dynamic surveillance for 14 symptoms and 6 syndromes were conducted in medical institutions, the daily collection of information about students' school absence in primary schools and febrile illness in inbound people at border ports were conducted in these counties from January 2016 to February 2018 to establish an early warning system based on mobile phone and computer platform for a field experimental study. Results: With syndromes of rash, influenza-like illness and the numbers of primary school absence, the most common communicable disease events, such as hand foot and mouth disease, influenza and chickenpox, can be identified 1-5 days in advance by using EARS-3C and Kulldorff time-space scanning models with high sensitivity and specificity. The system is easy to use with strong security and feasibility. All the information and the warning alerts are released in the form of interactive charts and visual maps, which can facilitate the timely response. Conclusions: This system is highly effective and easy to operate in the detection of possible outbreaks of common communicable diseases in border areas in real time, so the timely and effective intervention can be conducted to reduce the risk of local and cross-border communicable disease outbreaks. It has practical application value.
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Affiliation(s)
- X X Song
- School of Public Health, Kunming Medical University, Kunming 650500, China
| | - L Cai
- School of Public Health, Kunming Medical University, Kunming 650500, China
| | - W Liu
- School of Public Health, Kunming Medical University, Kunming 650500, China
| | - W L Cui
- School of Public Health, Kunming Medical University, Kunming 650500, China
| | - X Peng
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China
| | - Q F Li
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China
| | - Y Dong
- Yunnan Provincial Institute for Endemic Diseases Control and Prevention, Dali 671000, China
| | - M D Yang
- Yunnan Provincial Institute of Parasitic Diseases, Pu'er 665000, China
| | - B Q Wu
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Yunnan Province, Mangshi 678400, China
| | - T K Yue
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Yunnan Province, Mangshi 678400, China
| | - J H Fan
- Xishuangbanna Dai Autonomous Prefectural Center for Disease Control and Prevention, Yunnan Province, Jinghong 666100, China
| | - Y Y Li
- Xishuangbanna Dai Autonomous Prefectural Center for Disease Control and Prevention, Yunnan Province, Jinghong 666100, China
| | - Y Li
- School of Public Health, Kunming Medical University, Kunming 650500, China
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Chiang A, Salomonsen RB, Wang A, Holland R, Cai L, Xiao Y, Sadow S, Davey K, Iyengar P. 168P Demographics, clinical characteristics, treatment (tx) patterns and clinical outcomes for patients (pts) with limited-stage SCLC (LS-SCLC). J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00422-7] [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: 04/04/2023]
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Whitaker R, Cai L, Wang A, Qiao Y, Chander P, Mooradian M. 12AP SPOTLIGHT real-world study: Outcomes with or without consolidation durvalumab (D) after chemoradiotherapy (CRT) in patients with unresectable stage III NSCLC. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00379-9] [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: 04/03/2023]
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Xu X, Cai L, Liang S, Zhang Q, Lin S, Li M, Yang Q, Li C, Han Z, Yang C. Digital microfluidics for biological analysis and applications. Lab Chip 2023; 23:1169-1191. [PMID: 36644972 DOI: 10.1039/d2lc00756h] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Digital microfluidics (DMF) is an emerging liquid-handling technology based on arrays of microelectrodes for the precise manipulation of discrete droplets. DMF offers the benefits of automation, addressability, integration and dynamic configuration ability, and provides enclosed picoliter-to-microliter reaction space, making it suitable for lab-on-a-chip biological analysis and applications that require high integration and intricate processes. A review of DMF bioassays with a special emphasis on those actuated by electrowetting on dielectric (EWOD) force is presented here. Firstly, a brief introduction is presented on both the theory of EWOD actuation and the types of droplet motion. Subsequently, a comprehensive overview of DMF-based biological analysis and applications, including nucleic acid, protein, immunoreaction and cell assays, is provided. Finally, a discussion on the strengths, challenges, and potential applications and perspectives in this field is presented.
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Affiliation(s)
- Xing Xu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Linfeng Cai
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Shanshan Liang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Qiannan Zhang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Shiyan Lin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Mingying Li
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Qizheng Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Chong Li
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Ziyan Han
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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16
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Zhang K, Cai L, Gong K. Genotype-phenotype correlations and clinical outcomes of Von Hippel-Lindau disease patients with large deletions. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00394-9] [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: 02/12/2023]
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17
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Zhang X, Zhi K, Yang Y, Cui W, Cai L, Zhao X, Zhang Z, Cao W. Mechanism of Qingre Huoxue Fang treatment on inhibiting angiogenesis of rheumatoid arthritis based on network pharmacology and in vitro experiments. J Physiol Pharmacol 2023; 74. [PMID: 37245233 DOI: 10.26402/jpp.2023.1.06] [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] [Received: 11/04/2022] [Accepted: 02/28/2023] [Indexed: 07/13/2023]
Abstract
This study aimed to explore the mechanism of Qingre Huoxue Fang (QRHXF) treatment on anti-angiogenesis in rheumatoid arthritis (RA) based on network pharmacology and in vitro experiments. We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and Therapeutic Target (TTD) database to extract the active components of QRHXF and potential targets for regulating angiogenesis. First, we used Cytoscape bioinformatics software to construct the network of QRHXF-angiogenesis and screened the potential targets. Then, we performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis on the potential core targets. In addition, enzyme-linked immune assay and Western blot were used for in vitro validation and to verify the effects of different concentrations of QRHXF on the expression levels of the vascular endothelial growth factor receptor type 1 (VEGFR-1) and VEGFR-2 cytokines and phosphoinositide 3-kinase (PI3k) and Ak strain transforming (Akt) proteins in human umbilical vein endothelial cells (HUVECs). In results, we screened 179 core QRHXF antiangiogenic targets, including vascular endothelial growth factor (VEGF) cytokines. Enrichment analysis showed that the targets were enriched in 56 core signaling pathways, including PI3k and Akt. In vitro experiments showed that the migration distance and square, adhesion optical density (OD) values, and the number of branch points in tube formation significantly decreased in the QRHXF group compared with the induced group (P<0.01). Notably, the serum levels of VEGFR-1 and VEGFR-2 were lower compared with the induced group (P<0.05 or P<0.01). In addition, the expressions of PI3K and p-Akt proteins were decreased in the middle- and high doses groups (P<0.01). This study's results suggest that the downstream mechanism of QRHXF anti-angiogenesis might inhibit the PI3K-Akt signalling pathway and downregulate VEGF-1 and VEGF-2.
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Affiliation(s)
- X Zhang
- Department of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - K Zhi
- China Academy of Chinese Medical Sciences, Beijing, China
| | - Y Yang
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - W Cui
- Department of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - L Cai
- School of Chinese Medicine, Southern Medical University, Guangdong, China
| | - X Zhao
- Department of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Z Zhang
- Beijing University of Chinese Medicine, Beijing, China
| | - W Cao
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
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18
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Zhang X, Zhi K, Yang Y, Cui W, Cai L, Zhao X, Zhang Z, Cao W. Mechanism of Qingre Huoxue Fang treatment on inhibiting angiogenesis of rheumatoid arthritis based on network pharmacology and in vitro experiments. J Physiol Pharmacol 2023; 74. [PMID: 37245233 DOI: 10.26402/jpp.2023.10.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/28/2023] [Indexed: 05/30/2023]
Abstract
This study aimed to explore the mechanism of Qingre Huoxue Fang (QRHXF) treatment on anti-angiogenesis in rheumatoid arthritis (RA) based on network pharmacology and in vitro experiments. We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and Therapeutic Target (TTD) database to extract the active components of QRHXF and potential targets for regulating angiogenesis. First, we used Cytoscape bioinformatics software to construct the network of QRHXF-angiogenesis and screened the potential targets. Then, we performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis on the potential core targets. In addition, enzyme-linked immune assay and Western blot were used for in vitro validation and to verify the effects of different concentrations of QRHXF on the expression levels of the vascular endothelial growth factor receptor type 1 (VEGFR-1) and VEGFR-2 cytokines and phosphoinositide 3-kinase (PI3k) and Ak strain transforming (Akt) proteins in human umbilical vein endothelial cells (HUVECs). In results, we screened 179 core QRHXF antiangiogenic targets, including vascular endothelial growth factor (VEGF) cytokines. Enrichment analysis showed that the targets were enriched in 56 core signaling pathways, including PI3k and Akt. In vitro experiments showed that the migration distance and square, adhesion optical density (OD) values, and the number of branch points in tube formation significantly decreased in the QRHXF group compared with the induced group (P<0.01). Notably, the serum levels of VEGFR-1 and VEGFR-2 were lower compared with the induced group (P<0.05 or P<0.01). In addition, the expressions of PI3K and p-Akt proteins were decreased in the middle- and high doses groups (P<0.01). This study's results suggest that the downstream mechanism of QRHXF anti-angiogenesis might inhibit the PI3K-Akt signalling pathway and downregulate VEGF-1 and VEGF-2.
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Affiliation(s)
- X Zhang
- Department of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - K Zhi
- China Academy of Chinese Medical Sciences, Beijing, China
| | - Y Yang
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - W Cui
- Department of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - L Cai
- School of Chinese Medicine, Southern Medical University, Guangdong, China
| | - X Zhao
- Department of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Z Zhang
- Beijing University of Chinese Medicine, Beijing, China
| | - W Cao
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
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19
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Lu Q, Yang X, Cai L. Predicting the MIBC in stalked tumor of VI-RADS 2 using nomogram of MRI characteristics. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)01105-3] [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: 02/12/2023]
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20
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Lu Q, Yang X, Cai L, Zheng B, Chen X, Liang Y, Xin Y, Ma T. Performance of the OncoUrine test on the predictive capacity of non-muscle-invasive bladder cancer patients candidate for repeated transurethral resection. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00650-4] [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: 02/12/2023]
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21
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Liu L, Wu X, Li HF, Zhao Y, Li GH, Cui WL, Rabkin Golden A, Cai L. Trends in the Prevalence of Chronic Non-Communicable Diseases and Multimorbidity across Socioeconomic Gradients in Rural Southwest China. J Nutr Health Aging 2023; 27:457-462. [PMID: 37357330 DOI: 10.1007/s12603-023-1932-y] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 05/25/2023] [Indexed: 06/27/2023]
Abstract
OBJECTIVES This study aimed to determine the changing prevalence of five chronic non-communicable diseases (NCDs)- hypertension, coronary heart disease (CHD), stroke, chronic obstructive pulmonary disease (COPD), and asthma-- and its multimorbidity (refers to the co-existence of two or more chronic diseases in an individual) across socioeconomic spectra in rural southwest China. MEASUREMENTS Two cross-sectional health interviews and examination surveys were conducted among individuals aged ≥35 years in rural China. An individual socioeconomic position (SEP) index was constructed using principal component analysis. Anthropometric measurements, blood pressure, and post-bronchodilator spirometry tests were recorded for each participant. RESULTS The mean age and proportion of men was 56.1 years and 48.4% in 2011, while was 56.6 years and 49.4% in 2021. From 2011 to 2021, the overall prevalence of hypertension, stroke and COPD increased from 26.1%, 1.1%, and 8.7% to 40.4%, 2.4%, and 12.8%, respectively (P < 0.01), while prevalence of CHD (2.1% vs. 2.2%) and asthma (1.4% vs. 1.5%) did not differ between the two study years (P > 0.05). The prevalence of NCDs multimorbidity increased from 2.3% to 9.7%, and was also observed among subgroups categorized by sex, age, ethnicity, level of education, income, and SEP (P < 0.01). In addition, the relative increases in the prevalence of multimorbidity were greater among men, old individuals, ethnic minorities, and those with low level of education and low SEP. Both in 2011 and 2021, ethnic minorities and individuals with lower level of education and low SEP had a higher prevalence of multimorbidity of the five studied chronic NCDs than their counterparts (P <0.01). CONCLUSIONS The prevalence of NCDs multimorbidity increased substantially across all socioeconomic gradients in rural southwest China. Future interventions to further manage NCDs and their multimorbidity must be tailored to address socioeconomic factors.
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Affiliation(s)
- L Liu
- Le CAI, PhD, School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming 650500, China,
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22
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Peters S, Salomonsen RB, Tattersfield R, Wang A, Xiao Y, Cai L, Sadow S, Jassim R, Liu S. 107P Outcomes of patients with metastatic non-small cell lung cancer (mNSCLC) receiving first-line (1L) immunotherapy (IO) with or without chemotherapy (CT): Real-world (RW) evidence vs clinical trial results - CORRELATE. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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23
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Xu X, Zhang Q, Li M, Lin S, Liang S, Cai L, Zhu H, Su R, Yang C. Microfluidic single‐cell multiomics analysis. VIEW 2022. [DOI: 10.1002/viw.20220034] [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: 12/05/2022] Open
Affiliation(s)
- Xing Xu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Qiannan Zhang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Mingyin Li
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shiyan Lin
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shanshan Liang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Linfeng Cai
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Huanghuang Zhu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Rui Su
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Chaoyong Yang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
- Institute of Molecular Medicine Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
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24
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Dong XQ, Zhang ZQ, Feng H, Cai L. [A case report of the first and second branchial arch syndrome with torticollis]. Zhonghua Yan Ke Za Zhi 2022; 58:923-924. [PMID: 36348531 DOI: 10.3760/cma.j.cn112142-20220421-00189] [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: 06/16/2023]
Abstract
A 54-month-old female patient presented to the department of ophthalmology with abnormal head posture and facial asymmetry for two years. The patient's facial development was asymmetrical, with the middle 1/3 of the left side shorter than the right side. The left ear is less malformed than the right. There was no obvious abnormality in corneal light reflex and eye movement. Head tilt test ( -). So, paralysis of the superior oblique muscle was excluded. In consultation with the department of maxillofacial surgery, the patient was confirmed as the first and second branchial arch syndrome and torticollis.
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Affiliation(s)
- X Q Dong
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
| | - Z Q Zhang
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
| | - H Feng
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
| | - L Cai
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
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25
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Shao Z, Liu Q, Tong Z, Li W, Cai L, Bai Y, Amin K, Deshpande P, Bi Y, Xu B. 21MO Primary results of a China bridging, phase II randomized study of initial endocrine therapy (ET) ± ribociclib (RIB) in pre- & postmenopausal Chinese women with HR+/HER2– ABC. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.030] [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: 12/07/2022] Open
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26
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Altorki N, Salomonsen R, Georgoulia N, Diaz Perez I, Wang A, Cai L, Wetherill G, Xiao Y, Fielden C, Gray J. 935P Demographics, clinical characteristics, treatment patterns and clinical outcomes of patients with stages I-III resected NSCLC without known EGFR mutations. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1061] [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: 11/01/2022] Open
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27
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Zhu X, Cai L, Xiao J. [A family with clustered Lynch syndrome: a case report]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1263-1266. [PMID: 36073228 DOI: 10.12122/j.issn.1673-4254.2022.08.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Lynch syndrome (LS) is an autosomal dominant hereditary disease caused by deletion of such DNA mismatch repair (MMR) genes as MLH1, MSH2, MSH6, and PMS2. The functional loss of MMR genes results in instability of the highly repetitive DNA sequence, and may eventually leads to tumor occurrence. Here we report a case of LS- related endometrial cancer in a clustered LS family identified by genetic counseling and genetic testing. For patients with a family history of LSrelated tumors, the diagnosis of LS should be considered, and immunohistochemical testing of MMR and genetic testing for LS should be performed. A definite diagnosis of LS has important clinical significance for individuals and family members, and risk screening and preventive measures can minimize the overall risk of developing LS-related cancers.
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Affiliation(s)
- X Zhu
- Department of Gynecology, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - L Cai
- Department of Gynecology, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - J Xiao
- Department of Gynecology, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
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28
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Abbas L, Barber G, Vu H, Cai L, Wang R, Chong B. 673 Metabolomic profiling of cutaneous lupus erythematous. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.684] [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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29
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Wang MM, Crous PW, Sandoval-Denis M, Han SL, Liu F, Liang JM, Duan WJ, Cai L. Fusarium and allied genera from China: species diversity and distribution. Persoonia 2022; 48:1-53. [PMID: 38234691 PMCID: PMC10792286 DOI: 10.3767/persoonia.2023.48.01] [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] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 12/14/2021] [Indexed: 01/19/2024]
Abstract
The genus Fusarium includes numerous important plant and human pathogens, as well as many industrially and commercially important species. During our investigation of fungal diversity in China, a total of 356 fusarioid isolates were obtained and identified from diverse diseased and healthy plants, or different environmental habitats, i.e., air, carbonatite, compost, faeces, soil and water, representing hitherto one of the most intensive sampling and identification efforts of fusarioid taxa in China. Combining morphology, multi-locus phylogeny and ecological preference, these isolates were identified as 72 species of Fusarium and allied genera, i.e., Bisifusarium (1), Fusarium (60), and Neocosmospora (11). A seven-locus dataset, comprising the 5.8S nuclear ribosomal RNA gene with the two flanking internal transcribed spacer (ITS) regions, the intergenic spacer region of the rDNA (IGS), partial translation elongation factor 1-alpha (tef1), partial calmodulin (cam), partial RNA polymerase largest subunit (rpb1), partial RNA polymerase second largest subunit (rpb2) gene regions, and partial β-tubulin (tub2), were sequenced and employed in phylogenetic analyses. A genus-level phylogenetic tree was constructed using combined tef1, rpb1, and rpb2 sequences, which confirmed the presence of four fusarioid genera among the isolates studied. Further phylogenetic analyses of two allied genera (Bisifusarium and Neocosmospora) and nine species complexes of Fusarium were separately conducted employing different multi-locus datasets, to determine relationships among closely related species. Twelve novel species were identified and described in this paper. The F. babinda species complex is herein renamed as the F. falsibabinda species complex, including descriptions of new species. Sixteen species were reported as new records from China. Citation: Wang MM, Crous PW, Sandoval-Denis M, et al. 2022. Fusarium and allied genera from China: species diversity and distribution. Persoonia 48: 1-53. https://doi.org/10.3767/persoonia.2022.48.01.
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Affiliation(s)
- M M Wang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- College of Life Science, University of ChineseAcademy of Sciences, Beijing 100049, P. R. China
| | - P W Crous
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
- Wageningen University and Research Centre (WUR), Laboratory of Phytopathology, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - M Sandoval-Denis
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
| | - S L Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- College of Life Science, University of ChineseAcademy of Sciences, Beijing 100049, P. R. China
| | - F Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China
| | - J M Liang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China
| | - W J Duan
- Ningbo Academy of Inspection and Quarantine, Ningbo 315012, P. R. China
- Ningbo Customs, Ningbo 315012, P. R. China
| | - L Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- College of Life Science, University of ChineseAcademy of Sciences, Beijing 100049, P. R. China
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30
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Xu X, Zhang M, Zhang X, Liu Y, Cai L, Zhang Q, Chen Q, Lin L, Lin S, Song Y, Zhu Z, Yang C. Decoding Expression Dynamics of Protein and Transcriptome at the Single-Cell Level in Paired Picoliter Chambers. Anal Chem 2022; 94:8164-8173. [PMID: 35650660 DOI: 10.1021/acs.analchem.1c05312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Simultaneous analysis of mRNAs and proteins at the single-cell level provides information about the dynamics and correlations of gene and protein expressions in individual cells, enabling a comprehensive study of cellular heterogeneity and expression patterns. Here, we present a platform for about 1000 cellular indexing of mRNAs and membrane proteins, named multi-Paired-seq, with high cell utilization, accurate molecular measurement, and low cost. Based on hydrodynamic differential flow resistance, multi-Paired-seq largely improves cell utilization in the percentage of cells measured in population (>95%). Combined with the pump/valve structure, cell-free antibodies and mRNAs can be removed completely for highly accurate detection (R = 0.96) of protein copies. The picoliter reaction chambers allow high detection sensitivity for both mRNA transcripts and protein copies and low sequencing cost. Using multi-Paired-seq, three clusters of known breast cancer cell types are identified according to multimodal measurements, and the expression correlations between mRNAs and proteins under altered conditions are quantified. Multi-Paired-seq provides multimodal measurements at the single-cell level, which offers a new tool for cell biology, developmental biology, drug discovery, and precision medicine.
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Affiliation(s)
- Xing Xu
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Mingxia Zhang
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China.,Suzhou Dynamic Biosystems Co., Ltd., Suzhou, Jiangsu 215000, China
| | - Xuebing Zhang
- Suzhou Dynamic Biosystems Co., Ltd., Suzhou, Jiangsu 215000, China
| | - Yilong Liu
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Linfeng Cai
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Qianqian Zhang
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Qin Chen
- Suzhou Dynamic Biosystems Co., Ltd., Suzhou, Jiangsu 215000, China
| | - Li Lin
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Shichao Lin
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Yanling Song
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Zhi Zhu
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China
| | - Chaoyong Yang
- Collaborative Innovation Center of Chemistry for Energy Materials, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian 361005, China.,Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
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31
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Song N, Wang T, Zhang D, Wang Z, Zhang SR, Yu J, Cai L, Ma AL, Zhang Q, Chen ZQ. [The value of relaxation time quantitative technique from synthetic magnetic resonance imaging in the diagnosis and invasion assessment of prostate cancer]. Zhonghua Yi Xue Za Zhi 2022; 102:1093-1099. [PMID: 35436808 DOI: 10.3760/cma.j.cn112137-20211018-02304] [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: 06/14/2023]
Abstract
Objective: To investigate the application value of relaxation time quantitative technique from synthetic magnetic resonance imaging (MRI) in the diagnosis and invasion assessment of prostate cancer. Methods: A total of 119 patients with prostate diseases [122 regions of interest(ROI)] who underwent routine MRI scan and magnetic resonance image compilation (MAGiC) sequence of prostate from March 2020 to March 2021 in General Hospital of Ningxia Medical University were retrospectively collected, they were divided into prostate cancer group(58 cases, 61 ROI) and non-prostate cancer group(61 cases, 61 ROI) according to the pathological results. In the prostate cancer group, those patients with an age of 48 to 85(69.8±5.9) years, and further divided into two subgroups according to the location of occurrence: peripheral zone cancer group (43 cases, 45 ROI) and transitional zone cancer group (15 cases, 16 ROI). The non-prostate cancer group consisted of patients with benign prostatic hyperplasia or complicated with chronic prostatitis, with an age of 41 to 81(68.6±7.0) years, and they were further divided into two subgroups according to the location of occurrence: non-cancerous peripheral zone group (45 cases, 45 ROI) and transitional zone benign prostatic hyperplasia group(16 cases, 16 ROI). Prostate cancer lesions were classified as low risk (Gleason score ≤6) or intermediate/high risk (Gleason score ≥7). After the post-processing of MAGiC images, T1, T2 and proton density(PD) values of prostate cancer group and non-prostate cancer group were obtained. At the same time, relevant software were used for image post-processing to generate apparent diffusion coefficient (ADC) value, the data between the two groups were analyzed by the Independent sample t-test or Mann-Whitney U-test, and the diagnostic effectiveness of each quantitative parameter in diagnosing prostate cancer and discriminating low risk prostate cancer from intermediate/high risk prostate cancer was analyzed by using receiver operating characteristic curve (ROC) analysis, the correlation between each quantitative parameter and Gleason score were assessed by Spearman correlation analysis. Results: The T1 value and T2 value of the peripheral zone cancer group were lower than those in non-cancerous peripheral zone group [1 201.3 (1 103.5, 1 298.2) ms vs 2 274.0 (1 620.9, 2 776.5) ms; 78.0 (74.0, 83.8) ms vs (160.6±54.9) ms] (all P<0.001), there was no statistically significant in PD value between the two groups (P>0.05). The T1 value and T2 value of the transitional zone cancer group were lower than those in transitional zone benign prostatic hyperplasia group [1 073.3 (1 003.9, 1 164.9) ms vs 1 340.8 (1 208.5, 1 502.8) ms; 76.9 (74.8, 82.8) ms vs 95.1(82.8, 103.4) ms] (all P<0.001), there was no statistically significant in PD value between the two groups (P>0.05). The area under the curve (AUC) of T2 value was similar with the ADC value in discriminating peripheral zone cancer group from non-cancerous peripheral zone group(0.963 vs 0.991, P=0.105), while in discriminating transitional zone cancer group from transitional zone benign prostatic hyperplasia group, the AUC of T2 value、T1 value and ADC value were similar(0.867, 0.930 vs 0.938, all P>0.05). ADC value, T2 value all were negatively correlated with Gleason score (r=-0.747,-0.453, all P<0.001). T2 value and ADC value demonstrated equivalent diagnostic performance in discriminating low risk from intermediate/high risk prostate cancer, and there were no statistically significant (AUC: 0.787 vs 0.943, P=0.069). Conclusions: Quantitative relaxation time T1 and T2 values derived from synthetic MRI can discriminate prostate cancer from other benign pathologies, and T2 value have the equivalent diagnostic performance compared to ADC value. Synthetic MRI has high clinical application value, and T2 value can distinguish low risk prostate cancer from intermediate/high risk prostate cancer.
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Affiliation(s)
- N Song
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - T Wang
- Gansu Provincial Maternity and Child-care Hospital, Lanzhou 730050, China
| | - D Zhang
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - Z Wang
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - S R Zhang
- Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China
| | - J Yu
- Department of Genetics, School of Basic Medicine, Ningxia Medical University, Yinchuan 750004, China
| | - L Cai
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - A L Ma
- Department of Pathology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - Q Zhang
- Department of Urological Surgery, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - Z Q Chen
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China
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Mooradian M, Allen A, Cai L, Xiao Y, Chander P. 116P Real-world outcomes with durvalumab (durva) after chemoradiotherapy (CRT) in patients with unresectable stage III NSCLC (SPOTLIGHT). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.143] [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: 11/01/2022] Open
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Ma Y, Lin C, Cai L, Qu G, Bai X, Yang L, Huang Z. Chiral Nanoparticles with Enhanced Thermal Stability of Chiral Structures through Alloying. Small 2022; 18:e2107657. [PMID: 35174949 DOI: 10.1002/smll.202107657] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/19/2022] [Indexed: 06/14/2023]
Abstract
Metallic chiral nanoparticles (CNPs) promisingly function as asymmetric catalysts but lack an important study in thermal stability of optical activity that stems from metastable chiral lattices. In this work, annealing is applied to silver (Ag) CNPs, fabricated by glancing angle deposition (GLAD), and causes elimination of optical activity at 200 °C, mainly ascribed to chiral-to-achiral lattice transformation. The Ag CNPs are remarkedly enhanced in thermal stability through an alloying with aluminum (Al) via layer-by-layer GLAD to generate binary Ag0.5 Al0.5 CNPs composed of solid-state liquids, whose optical activity vanishes at 700 °C. Ease in the diffusion of Al atoms in the host Ag CNPs and thermal insulation from the Al2 O3 layers partially covering the binary CNPs effectively prohibit structural relaxation of the metastable chiral lattices, accounting for the significant enhancement in thermal stability of chiral lattices. This is a pioneering work to investigate the fundamental principles determining the thermal stability of metallic CNPs in terms of chiral structures and optical activity. It paves the way toward applying metallic CNPs to asymmetric catalysis at high temperature to accelerate an asymmetric synthesis of enantiomers with designable chirality, which is one of the most important topics in modern chemistry.
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Affiliation(s)
- Yicong Ma
- Department of Physics, Hong Kong Baptist University (HKBU), Kowloon Tong, Hong Kong SAR, China
| | - Chao Lin
- Department of Physics, The Chinese University of Hong Kong (CUHK), Sha Tin, Hong Kong SAR, China
| | - Linfeng Cai
- Department of Physics, Hong Kong Baptist University (HKBU), Kowloon Tong, Hong Kong SAR, China
| | - Geping Qu
- Department of Chemistry, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Xiaopeng Bai
- Department of Physics, The Chinese University of Hong Kong (CUHK), Sha Tin, Hong Kong SAR, China
| | - Lin Yang
- HKBU Institute of Research and Continuing Education, Shenzhen, Guangdong, 518057, China
| | - Zhifeng Huang
- Department of Physics, Hong Kong Baptist University (HKBU), Kowloon Tong, Hong Kong SAR, China
- HKBU Institute of Research and Continuing Education, Shenzhen, Guangdong, 518057, China
- Institute of Advanced Materials, State Key Laboratory of Environmental and Biological Analysis, Golden Meditech Centre for NeuroRegeneration Sciences, Hong Kong Baptist University (HKBU), Kowloon Tong, Hong Kong SAR, China
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Liu F, Ma Z, Hou L, Diao Y, Wu W, Damm U, Song S, Cai L. Updating species diversity of Colletotrichum, with a phylogenomic overview. Stud Mycol 2022; 101:1-56. [PMID: 36059896 PMCID: PMC9365046 DOI: 10.3114/sim.2022.101.01] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/11/2021] [Indexed: 11/07/2022] Open
Abstract
The genus Colletotrichum includes important plant pathogens, endophytes, saprobes and human pathogens. Even though the polyphasic approach has facilitated Colletotrichum species identification, knowledge of the overall species diversity and host distribution is largely incomplete. To address this, we examined 952 Colletotrichum strains isolated from plants representing 322 species from 248 genera, or air and soil samples, from 87 locations in China, as well as 56 strains from Saudi Arabia, Thailand, Turkey, and the UK. Based on morphological characteristics and multi-locus phylogenetic analyses, the strains were assigned to 107 species, including 30 new species described in this paper and 18 new records for China. The currently most comprehensive backbone tree of Colletotrichum, comprising 16 species complexes (including a newly introduced C. bambusicola species complex) and 15 singleton species, is provided. Based on these analyses, 280 species with available molecular data are accepted in this genus, of which 139 have been reported in China, accounting for 49.6 % of the species. Colletotrichum siamense, C. karsti, C. fructicola, C. truncatum, C. fioriniae, and C. gloeosporioides were the most commonly detected species in China, as well as the species with the broadest host range. By contrast, 76 species were currently found to be associated with a single plant species or genus in China. To date, 33 Colletotrichum species have been exclusively reported as endophytes. Furthermore, we generated and assembled whole-genome sequences of the 30 new and a further 18 known species. The most comprehensive genome tree comprising 94 Colletotrichum species based on 1 893 single-copy orthologous genes was hence generated, with all nodes, except four, supported by 100 % bootstrap values. Collectively, this study represents the most comprehensive investigation of Colletotrichum diversity and host occurrence to date, and greatly enhances our understanding of the diversity and phylogenetic relationships in this genus.
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Affiliation(s)
- F. Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Z.Y. Ma
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - L.W. Hou
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Y.Z. Diao
- Novozymes China, No. 14, Xinxi Rd, Shangdi, Beijing, China
| | - W.P. Wu
- Novozymes China, No. 14, Xinxi Rd, Shangdi, Beijing, China
| | - U. Damm
- Senckenberg Museum of Natural History Görlitz, PF 300 154, 02806 Görlitz, Germany
| | - S. Song
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
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Chen Q, Bakhshi M, Balci Y, Broders K, Cheewangkoon R, Chen S, Fan X, Gramaje D, Halleen F, Horta Jung M, Jiang N, Jung T, Májek T, Marincowitz S, Milenković I, Mostert L, Nakashima N, Nurul Faziha I, Pan M, Raza M, Scanu B, Spies C, Suhaizan L, Suzuki H, Tian C, Tomšovský M, Úrbez-Torres J, Wang W, Wingfield B, Wingfield M, Yang Q, Yang X, Zare R, Zhao P, Groenewald J, Cai L, Crous P. Genera of phytopathogenic fungi: GOPHY 4. Stud Mycol 2022; 101:417-564. [PMID: 36059898 PMCID: PMC9365048 DOI: 10.3114/sim.2022.101.06] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/04/2022] [Indexed: 11/24/2022] Open
Abstract
This paper is the fourth contribution in the Genera of Phytopathogenic Fungi (GOPHY) series. The series provides morphological descriptions and information about the pathology, distribution, hosts and disease symptoms, as well as DNA barcodes for the taxa covered. Moreover, 12 whole-genome sequences for the type or new species in the treated genera are provided. The fourth paper in the GOPHY series covers 19 genera of phytopathogenic fungi and their relatives, including Ascochyta, Cadophora, Celoporthe, Cercospora, Coleophoma, Cytospora, Dendrostoma, Didymella, Endothia, Heterophaeomoniella, Leptosphaerulina, Melampsora, Nigrospora, Pezicula, Phaeomoniella, Pseudocercospora, Pteridopassalora, Zymoseptoria, and one genus of oomycetes, Phytophthora. This study includes two new genera, 30 new species, five new combinations, and 43 typifications of older names. Taxonomic novelties: New genera:Heterophaeomoniella L. Mostert, C.F.J. Spies, Halleen & Gramaje, Pteridopassalora C. Nakash. & Crous; New species:Ascochyta flava Qian Chen & L. Cai, Cadophora domestica L. Mostert, R. van der Merwe, Halleen & Gramaje, Cadophora rotunda L. Mostert, R. van der Merwe, Halleen & Gramaje, Cadophora vinacea J.R. Úrbez-Torres, D.T. O’Gorman & Gramaje, Cadophora vivarii L. Mostert, Havenga, Halleen & Gramaje, Celoporthe foliorum H. Suzuki, Marinc. & M.J. Wingf., Cercospora alyssopsidis M. Bakhshi, Zare & Crous, Dendrostoma elaeocarpi C.M. Tian & Q. Yang, Didymella chlamydospora Qian Chen & L. Cai, Didymella gei Qian Chen & L. Cai, Didymella ligulariae Qian Chen & L. Cai, Didymella qilianensis Qian Chen & L. Cai, Didymella uniseptata Qian Chen & L. Cai, Endothia cerciana W. Wang. & S.F. Chen, Leptosphaerulina miscanthi Qian Chen & L. Cai, Nigrospora covidalis M. Raza, Qian Chen & L. Cai, Nigrospora globospora M. Raza, Qian Chen & L. Cai, Nigrospora philosophiae-doctoris M. Raza, Qian Chen & L. Cai, Phytophthora transitoria I. Milenković, T. Májek & T. Jung, Phytophthora panamensis T. Jung, Y. Balci, K. Broders & I. Milenković, Phytophthora variabilis T. Jung, M. Horta Jung & I. Milenković, Pseudocercospora delonicicola C. Nakash., L. Suhaizan & I. Nurul Faziha, Pseudocercospora farfugii C. Nakash., I. Araki, & Ai Ito, Pseudocercospora hardenbergiae Crous & C. Nakash., Pseudocercospora kenyirana C. Nakash., L. Suhaizan & I. Nurul Faziha, Pseudocercospora perrottetiae Crous, C. Nakash. & C.Y. Chen, Pseudocercospora platyceriicola C. Nakash., Y. Hatt, L. Suhaizan & I. Nurul Faziha, Pseudocercospora stemonicola C. Nakash., Y. Hatt., L. Suhaizan & I. Nurul Faziha, Pseudocercospora terengganuensis C. Nakash., Y. Hatt., L. Suhaizan & I. Nurul Faziha, Pseudocercospora xenopunicae Crous & C. Nakash.; New combinations:Heterophaeomoniella pinifoliorum (Hyang B. Lee et al.) L. Mostert, C.F.J. Spies, Halleen & Gramaje, Pseudocercospora pruni-grayanae (Sawada) C. Nakash. & Motohashi., Pseudocercospora togashiana (K. Ito & Tak. Kobay.) C. Nakash. & Tak. Kobay., Pteridopassalora nephrolepidicola (Crous & R.G. Shivas) C. Nakash. & Crous, Pteridopassalora lygodii (Goh & W.H. Hsieh) C. Nakash. & Crous; Typification: Epitypification:Botrytis infestans Mont., Cercospora abeliae Katsuki, Cercospora ceratoniae Pat. & Trab., Cercospora cladrastidis Jacz., Cercospora cryptomeriicola Sawada, Cercospora dalbergiae S.H. Sun, Cercospora ebulicola W. Yamam., Cercospora formosana W. Yamam., Cercospora fukuii W. Yamam., Cercospora glochidionis Sawada, Cercospora ixorana J.M. Yen & Lim, Cercospora liquidambaricola J.M. Yen, Cercospora pancratii Ellis & Everh., Cercospora pini-densiflorae Hori & Nambu, Cercospora profusa Syd. & P. Syd., Cercospora pyracanthae Katsuki, Cercospora horiana Togashi & Katsuki, Cercospora tabernaemontanae Syd. & P. Syd., Cercospora trinidadensis F. Stevens & Solheim, Melampsora laricis-urbanianae Tak. Matsumoto, Melampsora salicis-cupularis Wang, Phaeoisariopsis pruni-grayanae Sawada, Pseudocercospora angiopteridis Goh & W.H. Hsieh, Pseudocercospora basitruncata Crous, Pseudocercospora boehmeriigena U. Braun, Pseudocercospora coprosmae U. Braun & C.F. Hill, Pseudocercospora cratevicola C. Nakash. & U. Braun, Pseudocercospora cymbidiicola U. Braun & C.F. Hill, Pseudocercospora dodonaeae Boesew., Pseudocercospora euphorbiacearum U. Braun, Pseudocercospora lygodii Goh & W.H. Hsieh, Pseudocercospora metrosideri U. Braun, Pseudocercospora paraexosporioides C. Nakash. & U. Braun, Pseudocercospora symploci Katsuki & Tak. Kobay. ex U. Braun & Crous, Septogloeum punctatum Wakef.; Neotypification:Cercospora aleuritis I. Miyake; Lectotypification: Cercospora dalbergiae S.H. Sun, Cercospora formosana W. Yamam., Cercospora fukuii W. Yamam., Cercospora glochidionis Sawada, Cercospora profusa Syd. & P. Syd., Melampsora laricis-urbanianae Tak. Matsumoto, Phaeoisariopsis pruni-grayanae Sawada, Pseudocercospora symploci Katsuki & Tak. Kobay. ex U. Braun & Crous. Citation: Chen Q, Bakhshi M, Balci Y, Broders KD, Cheewangkoon R, Chen SF, Fan XL, Gramaje D, Halleen F, Horta Jung M, Jiang N, Jung T, Májek T, Marincowitz S, Milenković T, Mostert L, Nakashima C, Nurul Faziha I, Pan M, Raza M, Scanu B, Spies CFJ, Suhaizan L, Suzuki H, Tian CM, Tomšovský M, Úrbez-Torres JR, Wang W, Wingfield BD, Wingfield MJ, Yang Q, Yang X, Zare R, Zhao P, Groenewald JZ, Cai L, Crous PW (2022). Genera of phytopathogenic fungi: GOPHY 4. Studies in Mycology101: 417–564. doi: 10.3114/sim.2022.101.06.
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Affiliation(s)
- Q. Chen
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - M. Bakhshi
- Department of Botany, Iranian Research Institute of Plant Protection, P.O. Box 19395-1454, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
| | - Y. Balci
- USDA-APHIS Plant Protection and Quarantine, 4700 River Road, Riverdale, Maryland, 20737 USA
| | - K.D. Broders
- Smithsonian Tropical Research Institute, Apartado Panamá, República de Panamá
| | - R. Cheewangkoon
- Entomology and Plant Pathology Department, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand, 50200
| | - S.F. Chen
- China Eucalypt Research Centre (CERC), Chinese Academy of Forestry (CAF), Zhanjiang 524022, Guangdong Province, China
| | - X.L. Fan
- The Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | | | - F. Halleen
- Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Matieland, 7602, South Africa
- Plant Protection Division, ARC Infruitec-Nietvoorbij, Private Bag X5026, Stellenboscvh, 7599, South Africa
| | - M. Horta Jung
- Phytophthora Research Centre, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
| | - N. Jiang
- The Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | - T. Jung
- Phytophthora Research Centre, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
| | - T. Májek
- Phytophthora Research Centre, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
| | - S. Marincowitz
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria 0002, South Africa
| | - I. Milenković
- Phytophthora Research Centre, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
| | - L. Mostert
- Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Matieland, 7602, South Africa
| | - N. Nakashima
- Graduate school of Bioresources, Mie University, Kurima-machiya 1577, Tsu, Mie, 514-8507, Japan
| | - I. Nurul Faziha
- Faculty of Fisheries and Food Science, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
| | - M. Pan
- The Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | - M. Raza
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - B. Scanu
- Department of Agricultural Sciences, University of Sassari, Viale Italia 39, 07100 Sassari, Italy
| | - C.F.J. Spies
- ARC-Plant Health and Protection, Private Bag X5017, Stellenbosch, 7599, South Africa
| | - L. Suhaizan
- Faculty of Fisheries and Food Science, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
| | - H. Suzuki
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria 0002, South Africa
| | - C.M. Tian
- The Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | - M. Tomšovský
- Phytophthora Research Centre, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
| | - J.R. Úrbez-Torres
- Agriculture and Agri-Food Canada, Summerland Research and Development Centre, Summerland, British Columbia V0H 1Z0, Canada
| | - W. Wang
- China Eucalypt Research Centre (CERC), Chinese Academy of Forestry (CAF), Zhanjiang 524022, Guangdong Province, China
| | - B.D. Wingfield
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria 0002, South Africa
| | - M.J. Wingfield
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria 0002, South Africa
| | - Q. Yang
- The Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | - X. Yang
- USDA-ARS, Foreign Disease-Weed Science Research Unit, 1301 Ditto Avenue, Fort Detrick, Maryland, 21702 USA
- Oak Ridge Institute for Science and Education, ARS Research Participation Program, P.O. Box 117, Oak Ridge, Tennessee, 37831 USA
| | - R. Zare
- Department of Botany, Iranian Research Institute of Plant Protection, P.O. Box 19395-1454, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
| | - P. Zhao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - J.Z. Groenewald
- Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - P.W. Crous
- Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands
- Microbiology, Department of Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CT Utrecht, The Netherlands
- Wageningen University and Research Centre (WUR), Laboratory of Phytopathology, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
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Zhao P, Liu F, Huang JE, Zhou X, Duan WJ, Cai L. Cronartium rust (Pucciniales, Cronartiaceae): species delineation, diversity and host alternation. MYCOSPHERE 2022. [DOI: 10.5943/mycosphere/13/1/7] [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: 11/06/2022] Open
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Lohoff T, Ghazanfar S, Missarova A, Koulena N, Pierson N, Griffiths JA, Bardot ES, Eng CHL, Tyser RCV, Argelaguet R, Guibentif C, Srinivas S, Briscoe J, Simons BD, Hadjantonakis AK, Göttgens B, Reik W, Nichols J, Cai L, Marioni JC. Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis. Nat Biotechnol 2022; 40:74-85. [PMID: 34489600 PMCID: PMC8763645 DOI: 10.1038/s41587-021-01006-2] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023]
Abstract
Molecular profiling of single cells has advanced our knowledge of the molecular basis of development. However, current approaches mostly rely on dissociating cells from tissues, thereby losing the crucial spatial context of regulatory processes. Here, we apply an image-based single-cell transcriptomics method, sequential fluorescence in situ hybridization (seqFISH), to detect mRNAs for 387 target genes in tissue sections of mouse embryos at the 8-12 somite stage. By integrating spatial context and multiplexed transcriptional measurements with two single-cell transcriptome atlases, we characterize cell types across the embryo and demonstrate that spatially resolved expression of genes not profiled by seqFISH can be imputed. We use this high-resolution spatial map to characterize fundamental steps in the patterning of the midbrain-hindbrain boundary (MHB) and the developing gut tube. We uncover axes of cell differentiation that are not apparent from single-cell RNA-sequencing (scRNA-seq) data, such as early dorsal-ventral separation of esophageal and tracheal progenitor populations in the gut tube. Our method provides an approach for studying cell fate decisions in complex tissues and development.
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Affiliation(s)
- T Lohoff
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Epigenetics Programme, Babraham Institute, Cambridge, UK
| | - S Ghazanfar
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - A Missarova
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - N Koulena
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - N Pierson
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - J A Griffiths
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Genomics Plc, Cambridge, UK
| | - E S Bardot
- Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - C-H L Eng
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - R C V Tyser
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - R Argelaguet
- Epigenetics Programme, Babraham Institute, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - C Guibentif
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Sahlgrenska Center for Cancer Research, Department of Microbiology and Immunology, University of Gothenburg, Gothenburg, Sweden
| | - S Srinivas
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - J Briscoe
- The Francis Crick Institute, London, UK
| | - B D Simons
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- The Wellcome/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK
- Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK
| | - A-K Hadjantonakis
- Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - B Göttgens
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - W Reik
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Epigenetics Programme, Babraham Institute, Cambridge, UK.
- Centre for Trophoblast Research, University of Cambridge, Cambridge, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
| | - J Nichols
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
| | - L Cai
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - J C Marioni
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
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Yang WP, Zhou JC, Zhang KN, Xu YW, Cai L, Gong YQ, Gong K. [Identification of the feature of immune cells infiltration in inherited renal carcinoma with von Hippel-Lindau syndrome]. Zhonghua Yi Xue Za Zhi 2021; 101:3789-3793. [PMID: 34895418 DOI: 10.3760/cma.j.cn112137-20210521-01183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the feature of immune cells infiltration in inherited renal carcinoma with von Hippel-Lindau (VHL) syndrome and their relationship with clinicopathological characteristics and prognosis. Methods: The samples were collected from patients with VHL syndrome renal carcinoma who were diagnosed and treated surgically at the Department of Urology, Peking University First Hospital from 2010 to 2019. RNA-Seq was performed on 6 pairs of VHL syndrome renal carcinoma and adjacent normal tissues. To identify the specific infiltrated immune cells, RNA-Seq data was converted into the infiltration data of 14 types of immune cells using the TIP tool. Immunohistochemical staining was used to verify the expression of the markers of these specific infiltrated immune cells in the paraffin sections of 54 paired VHL syndrome renal carcinoma and adjacent normal tissues, and to analyze their relationship with clinicopathological characteristics and prognosis. Results: Compared with adjacent normal tissues, CD4 Naive infiltration level was significantly down-regulated (0.289±0.009 vs 0.200±0.012,P<0.001) and CD4 Memory infiltration level was significantly up-regulated (0.123±0.014 vs 0.222±0.016,P<0.001) in VHL syndrome renal carcinoma. Immunohistochemical staining results showed that CD45RA (a CD4 Naive cell marker) expression was significantly reduced (50.9±1.9 vs 15.6±0.9,P<0.001) and CD45RO (a CD4 Memory cell marker) expression was significantly increased (22.2±1.1 vs 80.8±4.3,P<0.001) in VHL syndrome renal carcinoma. Besides, lower CD45RA expression and higher CD45RO expression were associated with higher histological grade, advanced tumor stage and shorter disease-free survival (all P<0.01). In addition, CD45RA expression was positively correlated with VHL expression (r=0.693 3, P<0.000 1) and CD45RO expression was negatively correlated with VHL expression (r=-0.609 0, P<0.000 1). Conclusions: This study found that CD4 Naive and CD4 Memory cells may be differentially infiltrated immune cells in VHL syndrome renal carcinoma, and their infiltration levels were associated with the expression of VHL and the prognosis of patients.
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Affiliation(s)
- W P Yang
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - J C Zhou
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - K N Zhang
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Y W Xu
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - L Cai
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Y Q Gong
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - K Gong
- Department of Urology, Peking University First Hospital, Beijing 100034, China
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Xu YW, Zhou JC, Xie HB, Yang WP, Li L, Zhang KN, Ma KF, Gong YQ, Zhang Z, Cai L, Gong K. [Clinicopathological and prognostic characteristics of clear cell papillary renal cell carcinoma]. Zhonghua Yi Xue Za Zhi 2021; 101:3784-3788. [PMID: 34895417 DOI: 10.3760/cma.j.cn112137-20210701-01482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the epidemiological, clinicopathological and prognostic characteristics of clear cell papillary renal cell carcinoma (CCPRCC) based on Chinese patient population. Method: Patients with renal cell carcinoma diagnosed at Peking University First Hospital from June 2016 to June 2020 were included in this study based on the inclusion and exclusion criteria. All cases were grouped according to CCPRCC, clear cell renal cell carcinoma (ccRCC), and papillary renal cell carcinoma (pRCC), and the general clinical, postoperative pathological and follow-up data of the patients were retrospectively analyzed. Result: A total of 18 CCPRCC patients were enrolled in this study, accounting for 0.44% (18/4 110) of the postoperative pathologically confirmed renal cell carcinoma cases in our hospital during this time period. The age range of the included patients was 28-86 years old, with a median age of 49.5 years old. There were 11/18 males and 7/18 females. All CCPRCC patients had no family history of renal malignant tumors. Among them, only one patient with CCPRCC had related clinical symptoms, that was intermittent waist and abdomen pain, while the other 17 cases were found by physical examination without any related symptoms. Compared with ccRCC and pRCC, there was no significant difference in their end stage renal disease history(χ2ccRCC=0.291, χ2pRCC=1.161,all P>0.05). The maximum diameter of CCPRCC tumor was smaller than pRCC (χ2=-2.280,P =0.027) but not significantly different from ccRCC (χ2=-0.579,P =0.565). The majority of patients with CCPRCC were in pT1, their pathological stage was earlier than the other two types, and their overall survival was better than ccRCC and pRCC (P<0.05). Conclusion: CCPRCC is a type of renal cell carcinoma with unique epidemiology, clinicopathology and prognostic characteristics. Patients with this subtype have an earlier clinical stage and a better prognosis than ccRCC and pRCC.
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Affiliation(s)
- Y W Xu
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - J C Zhou
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - H B Xie
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - W P Yang
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - L Li
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - K N Zhang
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - K F Ma
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - Y Q Gong
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - Z Zhang
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - L Cai
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
| | - K Gong
- Department of Urology, Peking University First Hospital, the Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China
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Li JL, Zhang M, Cai L, Yue JQ, Wang RF, Guan WB, Wang KZ, Wang LF. [DICER1 and relevant tumor]. Zhonghua Bing Li Xue Za Zhi 2021; 50:1419-1422. [PMID: 34865443 DOI: 10.3760/cma.j.cn112151-20210825-00602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- J L Li
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - M Zhang
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - L Cai
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - J Q Yue
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - R F Wang
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - W B Guan
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - K Z Wang
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - L F Wang
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
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Zhao P, Crous P, Hou L, Duan W, Cai L, Ma Z, Liu F. Fungi of quarantine concern for China I: Dothideomycetes. Persoonia 2021; 47:45-105. [PMID: 37693796 PMCID: PMC10486631 DOI: 10.3767/persoonia.2021.47.02] [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] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/09/2021] [Indexed: 11/25/2022]
Abstract
The current list of Chinese quarantine pests includes 130 fungal species. However, recent changes in the taxonomy of fungi following the one fungus = one name initiative and the implementation of DNA phylogeny in taxonomic revisions, resulted in many changes of these species names, necessitating an update of the current list. In addition, many quarantine fungi lack modern morphological descriptions and authentic DNA sequences, posing significant challenges for the development of diagnostic protocols. The aim of the present study was to review the taxonomy and names of the 33 Chinese quarantine fungi in Dothideomycetes, and provide reliable DNA barcodes to facilitate rapid identification. Of these, 23 names were updated according to the single name nomenclature system, including one new combination, namely Cophinforma tumefaciens comb. nov. (syn. Sphaeropsis tumefaciens). On the basis of phylogenetic analyses and morphological comparisons, a new genus Xenosphaeropsis is introduced to accommodate the monotypic species Xenosphaeropsis pyriputrescens comb. nov. (syn. Sphaeropsis pyriputrescens), the causal agent of a post-harvest disease of pears. Furthermore, four lectotypes (Ascochyta petroselini, Mycosphaerella ligulicola, Physalospora laricina, Sphaeria lingam), three epitypes (Ascochyta petroselini, Phoma lycopersici, Sphaeria lingam), and two neotypes (Ascochyta pinodella, Deuterophoma tracheiphila) are designated to stabilise the use of these names. A further four reference strains are introduced for Cophinforma tumefaciens, Helminthosporium solani, Mycocentrospora acerina, and Septoria linicola. In addition, to assist future studies on these important pathogens, we sequenced and assembled whole genomes for 17 species, including Alternaria triticina, Boeremia foveata, B. lycopersici, Cladosporium cucumerinum, Didymella glomerata, Didymella pinodella, Diplodia mutila, Helminthosporium solani, Mycocentrospora acerina, Neofusicoccum laricinum, Parastagonospora pseudonodorum, Plenodomus libanotidis, Plenodomus lingam, Plenodomus tracheiphilus, Septoria petroselini, Stagonosporopsis chrysanthemi, and Xenosphaeropsis pyriputrescens. Citation: Zhao P, Crous PW, Hou LW, et al. 2021. Fungi of quarantine concern for China I: Dothideomycetes. Persoonia 47: 45-105. https://doi.org/10.3767/persoonia.2021.47.02.
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Affiliation(s)
- P. Zhao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - P.W. Crous
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
- Microbiology, Department of Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CT Utrecht, The Netherlands
- Wageningen University and Research Centre (WUR), Laboratory of Phytopathology, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - L.W. Hou
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - W.J. Duan
- Ningbo Academy of Inspection and Quarantine, Ningbo 315012, China
- Ningbo Customs District P. R. China, Ningbo 315012, China
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z.Y. Ma
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - F. Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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Mooradian M, Allen A, Cai L, Xiao Y, Chander P. 100P SPOTLIGHT real-world study: Patient characteristics and treatment patterns in patients with unresectable stage III NSCLC receiving durvalumab after chemoradiotherapy (CRT). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.118] [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: 10/19/2022] Open
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Chen Y, Qian W, Lin L, Cai L, Yin K, Jiang S, Song J, Han RPS, Yang C. Mapping Gene Expression in the Spatial Dimension. Small Methods 2021; 5:e2100722. [PMID: 34927963 DOI: 10.1002/smtd.202100722] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 06/28/2021] [Revised: 08/25/2021] [Indexed: 06/14/2023]
Abstract
The main function and biological processes of tissues are determined by the combination of gene expression and spatial organization of their cells. RNA sequencing technologies have primarily interrogated gene expression without preserving the native spatial context of cells. However, the emergence of various spatially-resolved transcriptome analysis methods now makes it possible to map the gene expression to specific coordinates within tissues, enabling transcriptional heterogeneity between different regions, and for the localization of specific transcripts and novel spatial markers to be revealed. Hence, spatially-resolved transcriptome analysis technologies have broad utility in research into human disease and developmental biology. Here, recent advances in spatially-resolved transcriptome analysis methods are summarized, including experimental technologies and computational methods. Strengths, challenges, and potential applications of those methods are highlighted, and perspectives in this field are provided.
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Affiliation(s)
- Yingwen Chen
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Weizhou Qian
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Li Lin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Linfeng Cai
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Kun Yin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Shaowei Jiang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Jia Song
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Ray P S Han
- Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 33004, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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Li L, Shu F, Wang XQ, Wang F, Cai L, Zhao X, Lv HG. Propofol alleviates intestinal ischemia/reperfusion injury in rats through p38 MAPK/NF-κB signaling pathway. Eur Rev Med Pharmacol Sci 2021; 25:1574-1581. [PMID: 33629346 DOI: 10.26355/eurrev_202102_24867] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the influences of propofol on intestinal ischemia/reperfusion (I/R) injury in rats through the p38 mitogen-activated protein kinase (MAPK)/nuclear factor-kappa B (NF-κB) signaling pathway. MATERIALS AND METHODS The models of intestinal I/R injury were first successfully established. All rats were randomly divided into 4 groups, namely, S group, I/R group, P group and P + S group. Pathological-morphological changes, injury score and wet-to-dry weight ratio of intestinal tissues as well as oxidative stress indexes in each group of rats were detected. Enzyme-linked immunosorbent assay (ELISA) was applied to measure the levels of inflammatory factors such as creatine kinase-MB (CK-MB), tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6) in each group of rats. Furthermore, Western blotting (WB) assay was applied to determine the protein expression levels of p38 MAPK and NF-κB in different groups. RESULTS Intestinal tissue injury was the severest in I/R group, with the infiltration of massive inflammatory cells and oozing of blood (Figure 1A, I/R). Compared with those in I/R group, the infiltration of inflammatory cells and damage to intestinal villi were notably relieved in P group and P + S group, revealing that the intestinal mucosal injury was remarkably repaired in P group and P + S group (Figure 1A, P). Moreover, the intestinal tissue injury score was evidently higher in I/R group, P group and P + S group than that in S group (p<0.05). However, it was markedly lower in P group and P + S group than that in I/R group (p<0.05). I/R group, P group and P + S group exhibited significantly increased wet-to-dry weight ratio of intestinal tissues in comparison with S group (p<0.05). However, P group and P + S group exhibited distinctly lower wet-to-dry weight ratio of intestinal tissues than I/R group (p<0.05). The content of malondialdehyde (MDA) was reduced prominently, while that of superoxide dismutase (SOD) was elevated significantly in P group and P + S group in contrast with those in I/R group (p<0.05). On the contrary, P + S group displayed remarkably lower MDA content and higher SOD content than P group (p<0.05). The levels of CK-MB, TNF-α and IL-6 in the blood rose markedly in I/R group compared with those in S group (p<0.05). However, they declined evidently in P group and P + S group in contrast with those in I/R group (p<0.05). Besides, the protein expression level of phosphorylated p38 MAPK was significantly higher in I/R group, P group and P + S group than that in S group (p<0.05). However, no significant difference was observed in the protein expression of total p38 MAPK among the four groups (p>0.05). However, the protein expression level of phosphorylated p38 MAPK was distinctly down-regulated in P group and P + S group in comparison with that in I/R group (p<0.05). Finally, I/R group, P group and P + S group had a prominently higher protein expression level of NF-κB than S group (p<0.05). However, P group and P + S group exerted a significantly lower protein expression level of NF-κB than I/R group (p<0.05). CONCLUSIONS Propofol decreases the release of inflammatory factors and alleviates intestinal edema by inhibiting the p38 MAPK/NF-κB signaling pathway, thereby mitigating and treating the intestinal I/R injury in rats.
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Affiliation(s)
- L Li
- Department of Anaesthesiology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
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Wang J, Xu B, Cai L, Song Y, Kang L, Sun T, Teng Y, Tong Z, Li H, Ouyang Q, Cui S, Yan M, Chen Q, Yin Y, Sun Q, Liao N, Feng J, Wang X. 235P Efficacy and safety of first-line therapy with fulvestrant or exemestane for postmenopausal ER+/HER2- advanced breast cancer patients after adjuvant nonsteroidal aromatase inhibitor treatment: A randomized, open-label, multicenter study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.518] [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: 11/25/2022] Open
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46
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Shao Z, Cai L, Wang S, Hu X, Shen K, Wang H, Li H, Feng J, Liu Q, Cheng J, Wu X, Wang X, Li H, Luo T, Liu J, Amin K, Slimane K, Qiao Y, Liu Y, Tong Z. 238P BOLERO-5: A phase II study of everolimus and exemestane combination in Chinese post-menopausal women with ER+/HER2- advanced breast cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.521] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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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Lu H, Luo F, Zhang Q, Li J, Cai L. The Physicochemical Characteristic of Activated Carbon Based on Sludge and Preparation Method. NEPT 2021. [DOI: 10.46488/nept.2021.v20i03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
To understand the features and best preparation of sludge activated carbon (SAC), and the pore structure, component, adsorption characteristics, and the yield rate of SAC, many tests have been carried out. The study illustrated that the pore structure was mostly mesopore and amorphous pore such as the ink bottle hole. In terms of different preparations to obtain SAC, the yield of SAC in sample No.1 achieved 88.09%. Using the preparation of ZnCl2 as an activator, the iodine adsorption value was significantly higher than other preparations. However, the content of quartz in sample No.1 achieved a maximum of 52.51%. Charcoal was detected in all samples except sample nos 9-12. The adsorption capacity of Cu(II) and Cd(II) reached a maximum of 600.02 mg.kg-1 and 383.2 mg.kg-1. The results showed an optimum preparation condition, which was by using the ZnCl2 as an activator, 2:1 as the impregnated ratio, 40% concentration in activator and at 400ºC reaction temperature could create rich pore structure and charcoal inside.
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Zhao P, Crous P, Hou L, Duan W, Cai L, Ma Z, Liu F. Fungi of quarantine concern for China I: Dothideomycetes. Persoonia 2021; 47:45-105. [PMID: 38352971 PMCID: PMC10784663 DOI: 10.3767/persoonia.2023.47.02] [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] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/09/2021] [Indexed: 02/16/2024]
Abstract
The current list of Chinese quarantine pests includes 130 fungal species. However, recent changes in the taxonomy of fungi following the one fungus = one name initiative and the implementation of DNA phylogeny in taxonomic revisions, resulted in many changes of these species names, necessitating an update of the current list. In addition, many quarantine fungi lack modern morphological descriptions and authentic DNA sequences, posing significant challenges for the development of diagnostic protocols. The aim of the present study was to review the taxonomy and names of the 33 Chinese quarantine fungi in Dothideomycetes, and provide reliable DNA barcodes to facilitate rapid identification. Of these, 23 names were updated according to the single name nomenclature system, including one new combination, namely Cophinforma tumefaciens comb. nov. (syn. Sphaeropsis tumefaciens). On the basis of phylogenetic analyses and morphological comparisons, a new genus Xenosphaeropsis is introduced to accommodate the monotypic species Xenosphaeropsis pyriputrescens comb. nov. (syn. Sphaeropsis pyriputrescens), the causal agent of a post-harvest disease of pears. Furthermore, four lectotypes (Ascochyta petroselini, Mycosphaerella ligulicola, Physalospora laricina, Sphaeria lingam), three epitypes (Ascochyta petroselini, Phoma lycopersici, Sphaeria lingam), and two neotypes (Ascochyta pinodella, Deuterophoma tracheiphila) are designated to stabilise the use of these names. A further four reference strains are introduced for Cophinforma tumefaciens, Helminthosporium solani, Mycocentrospora acerina, and Septoria linicola. In addition, to assist future studies on these important pathogens, we sequenced and assembled whole genomes for 17 species, including Alternaria triticina, Boeremia foveata, B. lycopersici, Cladosporium cucumerinum, Didymella glomerata, Didymella pinodella, Diplodia mutila, Helminthosporium solani, Mycocentrospora acerina, Neofusicoccum laricinum, Parastagonospora pseudonodorum, Plenodomus libanotidis, Plenodomus lingam, Plenodomus tracheiphilus, Septoria petroselini, Stagonosporopsis chrysanthemi, and Xenosphaeropsis pyriputrescens. Citation: Zhao P, Crous PW, Hou LW, et al. 2021. Fungi of quarantine concern for China I: Dothideomycetes. Persoonia 47: 45-105. https://doi.org/10.3767/persoonia.2021.47.02.
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Affiliation(s)
- P. Zhao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - P.W. Crous
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
- Microbiology, Department of Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CT Utrecht, The Netherlands
- Wageningen University and Research Centre (WUR), Laboratory of Phytopathology, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - L.W. Hou
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - W.J. Duan
- Ningbo Academy of Inspection and Quarantine, Ningbo 315012, China
- Ningbo Customs District P. R. China, Ningbo 315012, China
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z.Y. Ma
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - F. Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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Chen Y, Song J, Ruan Q, Zeng X, Wu L, Cai L, Wang X, Yang C. Single-Cell Sequencing Methodologies: From Transcriptome to Multi-Dimensional Measurement. Small Methods 2021; 5:e2100111. [PMID: 34927917 DOI: 10.1002/smtd.202100111] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 01/29/2021] [Revised: 03/26/2021] [Indexed: 06/14/2023]
Abstract
Cells are the basic building blocks of biological systems, with inherent unique molecular features and development trajectories. The study of single cells facilitates in-depth understanding of cellular diversity, disease processes, and organization of multicellular organisms. Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for the interrogation of gene expression patterns and the dynamics of single cells, allowing cellular heterogeneity to be dissected at unprecedented resolution. Nevertheless, measuring at only transcriptome level or 1D is incomplete; the cellular heterogeneity reflects in multiple dimensions, including the genome, epigenome, transcriptome, spatial, and even temporal dimensions. Hence, integrative single cell analysis is highly desired. In addition, the way to interpret sequencing data by virtue of bioinformatic tools also exerts critical roles in revealing differential gene expression. Here, a comprehensive review that summarizes the cutting-edge single-cell transcriptome sequencing methodologies, including scRNA-seq, spatial and temporal transcriptome profiling, multi-omics sequencing and computational methods developed for scRNA-seq data analysis is provided. Finally, the challenges and perspectives of this field are discussed.
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Affiliation(s)
- Yingwen Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Jia Song
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Qingyu Ruan
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xi Zeng
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Lingling Wu
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Linfeng Cai
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xuanqun Wang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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50
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Vogelsang RP, Bojesen RD, Hoelmich ER, Orhan A, Buzquurz F, Cai L, Grube C, Zahid JA, Allakhverdiiev E, Raskov HH, Drakos I, Derian N, Ryan PB, Rijnbeek PR, Gögenur I. Prediction of 90-day mortality after surgery for colorectal cancer using standardized nationwide quality-assurance data. BJS Open 2021; 5:6272169. [PMID: 33963368 PMCID: PMC8105588 DOI: 10.1093/bjsopen/zrab023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 01/08/2021] [Accepted: 02/19/2021] [Indexed: 12/25/2022] Open
Abstract
Background Personalized risk assessment provides opportunities for tailoring treatment, optimizing healthcare resources and improving outcome. The aim of this study was to develop a 90-day mortality-risk prediction model for identification of high- and low-risk patients undergoing surgery for colorectal cancer. Methods This was a nationwide cohort study using records from the Danish Colorectal Cancer Group database that included all patients undergoing surgery for colorectal cancer between 1 January 2004 and 31 December 2015. A least absolute shrinkage and selection operator logistic regression prediction model was developed using 121 pre- and intraoperative variables and internally validated in a hold-out test data set. The accuracy of the model was assessed in terms of discrimination and calibration. Results In total, 49 607 patients were registered in the database. After exclusion of 16 680 individuals, 32 927 patients were included in the analysis. Overall, 1754 (5.3 per cent) deaths were recorded. Targeting high-risk individuals, the model identified 5.5 per cent of all patients facing a risk of 90-day mortality exceeding 35 per cent, corresponding to a 6.7 times greater risk than the average population. Targeting low-risk individuals, the model identified 20.9 per cent of patients facing a risk less than 0.3 per cent, corresponding to a 17.7 times lower risk compared with the average population. The model exhibited discriminatory power with an area under the receiver operating characteristics curve of 85.3 per cent (95 per cent c.i. 83.6 to 87.0) and excellent calibration with a Brier score of 0.04 and 32 per cent average precision. Conclusion Pre- and intraoperative data, as captured in national health registries, can be used to predict 90-day mortality accurately after colorectal cancer surgery.
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Affiliation(s)
- R P Vogelsang
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - R D Bojesen
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark.,Department of Surgery, Slagelse Hospital, Slagelse, Denmark
| | - E R Hoelmich
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - A Orhan
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - F Buzquurz
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - L Cai
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - C Grube
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - J A Zahid
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - E Allakhverdiiev
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark.,Odysseus Data Services Inc., Cambridge, Massachusetts, USA
| | - H H Raskov
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - I Drakos
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - N Derian
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark
| | - P B Ryan
- Department of Medical Informatics, Janssen Research & Development LLC, Raritan, New Jersey, USA.,Columbia University, New York, New York, USA
| | - P R Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - I Gögenur
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Koege, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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