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Rao S, He Z, Wang Z, Yin H, Hu X, Tan Y, Wan T, Zhu H, Luo Y, Wang X, Li H, Wang Z, Hu X, Hong C, Wang Y, Luo M, Du W, Qian Y, Tang S, Xie H, Chen C. Extracellular vesicles from human urine-derived stem cells delay aging through the transfer of PLAU and TIMP1. Acta Pharm Sin B 2024; 14:1166-1186. [PMID: 38487008 PMCID: PMC10935484 DOI: 10.1016/j.apsb.2023.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 03/17/2024] Open
Abstract
Aging increases the risks of various diseases and the vulnerability to death. Cellular senescence is a hallmark of aging that contributes greatly to aging and aging-related diseases. This study demonstrates that extracellular vesicles from human urine-derived stem cells (USC-EVs) efficiently inhibit cellular senescence in vitro and in vivo. The intravenous injection of USC-EVs improves cognitive function, increases physical fitness and bone quality, and alleviates aging-related structural changes in different organs of senescence-accelerated mice and natural aging mice. The anti-aging effects of USC-EVs are not obviously affected by the USC donors' ages, genders, or health status. Proteomic analysis reveals that USC-EVs are enriched with plasminogen activator urokinase (PLAU) and tissue inhibitor of metalloproteinases 1 (TIMP1). These two proteins contribute importantly to the anti-senescent effects of USC-EVs associated with the inhibition of matrix metalloproteinases, cyclin-dependent kinase inhibitor 2A (P16INK4a), and cyclin-dependent kinase inhibitor 1A (P21cip1). These findings suggest a great potential of autologous USC-EVs as a promising anti-aging agent by transferring PLAU and TIMP1 proteins.
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Affiliation(s)
- Shanshan Rao
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Zehui He
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Zun Wang
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Hao Yin
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Xiongke Hu
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
- Department of Pediatric Orthopedics, Hunan Children's Hospital, University of South China, Changsha 410007, China
| | - Yijuan Tan
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Tengfei Wan
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Hao Zhu
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Yi Luo
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Xin Wang
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Hongming Li
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Zhenxing Wang
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Xinyue Hu
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chungu Hong
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Yiyi Wang
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Mingjie Luo
- Xiangya School of Nursing, Central South University, Changsha 410013, China
- School of Nursing, Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Wei Du
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Department of Rehabilitation, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yuxuan Qian
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
| | - Siyuan Tang
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Hui Xie
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chunyuan Chen
- Department of Orthopedics, Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Angmedicine, Changsha 410008, China
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Liu MH, Zhang Y, Luo M, Liu T, Long F, Zhou RH. [Correlation of carbon dioxide derived parameters during cardiopulmonary bypass with acute kidney injury after pediatric cardiac surgery]. Zhonghua Yi Xue Za Zhi 2023; 103:3909-3916. [PMID: 38129167 DOI: 10.3760/cma.j.cn112137-20231012-00714] [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: 12/23/2023]
Abstract
Objective: To explore the correlation of the ratio of venous-arterial carbon dioxide (CO2) tension difference to arterial-venous O2 content difference (Pv-aCO2/Ca-vO2) and venous-arterial CO2 gradient (Pv-aCO2) during cardiopulmonary bypass (CPB) with acute kidney injury (AKI) after pediatric cardiac surgery. Methods: The clinical data of children (1 month ≤ age ≤ 3 years old) who underwent open heart surgery under CPB in West China Hospital of Sichuan University from March 2021 to August 2022 were retrospectively analyzed. All paired blood gases of the children during CPB (the sampling time interval of arterial and venous blood was within 10 minutes) were collected. According to the Failure, Loss, End-Stage Renal Disease (pRIFLE) diagnostic criteria, the children were divided into AKI group and non-AKI group. Multivariate logistic regression analysis was performed to identify the risk factors of postoperative AKI in pediatric cardiac surgery. Results: A total of 213 children were enrolled (101 males and 112 females), aged 12(6, 24) months, and 84 of them (39.4%) developed AKI. Three children died in AKI group, with a mortality of 3.6%. There were no deaths in non-AKI group. The incidence of postoperative low cardiac output syndrome (LCOS) was higher in AKI group [29.8% (25/84) vs 7.0% (9/129), P<0.001]. In addition, compared with the non-AKI group, children in AKI group had longer recovery time [15 (6, 78) h vs 6 (3, 19) h, P<0.001], mechanical ventilation time [17 (7, 97) h vs 6 (4, 20) h, P<0.001], intensive care unit (ICU) stay [6 (4, 11) d vs 3 (2, 5) d, P<0.001], and hospital stay [12 (9, 18) d vs 9 (8, 11) d, P<0.001]. A total of 317 arterial and venous blood gas pairs from 30 (n=207), 60 (n=75) and 90 min (n=35) after aortic clamping were included in the analysis. Univariate analysis showed that Pv-aCO2/Ca-vO2 (P=0.015) at 30 min after aortic clamping, Pv-aCO2 (P=0.041) and Pv-aCO2/Ca-vO2 (P=0.014) at 60 min after aortic clamping, peak Pv-aCO2 (P=0.009), peak Pv-aCO2/Ca-vO2 (P<0.001) and the average value of Pv-aCO2/Ca-vO2 (P=0.001) were higher in AKI group. Multivariate logistic regression analysis showed that longer duration of CPB (OR=1.013, 95%CI: 1.003-1.023, P=0.012), higher peak Pv-aCO2/Ca-vO2 (OR=1.337, 95%CI: 1.037-1.723, P=0.025) were risk factors for AKI. Conclusion: The occurrence of AKI after pediatric cardiac surgery is related to the short-term adverse clinical prognosis, and longer duration of CPB and higher peak Pv-aCO2/Ca-vO2 are independent risk factors for AKI.
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Affiliation(s)
- M H Liu
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Y Zhang
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - M Luo
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - T Liu
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - F Long
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - R H Zhou
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
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Meng X, Wang M, Luo M, Sun L, Yan Q, Liu Y. Systematic evaluation of multiple NGS platforms for structural variants detection. J Biol Chem 2023; 299:105436. [PMID: 37944616 PMCID: PMC10724692 DOI: 10.1016/j.jbc.2023.105436] [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: 09/28/2023] [Revised: 10/29/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
Structural variations (SV) are critical genome changes affecting human diseases. Although many hybridization-based methods exist, evaluating SVs through next-generation sequencing (NGS) data is still necessary for broader research exploration. Here, we comprehensively compared the performance of 16 SV callers and multiple NGS platforms using NA12878 whole genome sequencing (WGS) datasets. The results indicated that several SV callers performed well relatively, such as Manta, GRIDSS, LUMPY, TARDIS, FermiKit, and Wham. Meanwhile, all NGS platforms have a similar performance using a single software. Additionally, we found that the source of undetected SVs was mostly from long reads datasets, therefore, the more appropriate strategy for accurate SV detection will be an integration of long and shorter reads in the future. At present, in the period of NGS as a mainstream method in bioinformatics, our study would provide helpful and comprehensive guidelines for specific categories of SV research.
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Affiliation(s)
- Xuan Meng
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Miao Wang
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Mingjie Luo
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Lei Sun
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Qin Yan
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Yongfeng Liu
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China.
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Chen Y, Yin Y, Luo M, Wu J, Chen A, Deng L, Xie L, Han X. Occlusal Force Maintains Alveolar Bone Homeostasis via Type H Angiogenesis. J Dent Res 2023; 102:1356-1365. [PMID: 37786932 DOI: 10.1177/00220345231191745] [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] [Indexed: 10/04/2023] Open
Abstract
Physiologically, teeth and periodontal tissues are exposed to occlusal forces throughout their lifetime. Following occlusal unloading, unbalanced bone remodeling manifests as a net alveolar bone (AB) loss. This phenomenon is termed alveolar bone disuse osteoporosis (ABDO), the underlying mechanism of which remains unclear. Type H vessels, a novel capillary subtype tightly coupled with osteogenesis, reportedly have a role in skeletal remodeling; however, their role in ABDO is not well studied. In the present study, we aimed to explore the pathogenesis of and therapies for ABDO. The study revealed that type H endothelium highly positive for CD31 and endomucin was identified in the periodontal ligament (PDL) but rarely in the AB of the mice. In hypofunctional PDL, the density of type H vasculature and coupled osterix+ (OSX+) osteoprogenitors declined significantly. In addition, the angiogenic factor Slit guidance ligand 3 (SLIT3) was downregulated in the disused PDL, and periodontal injection of the recombinant SLIT3 protein partially ameliorated type H vessel dysfunction and AB loss in ABDO mice. With regard to the molecular mechanism, a mechanosensory signaling circuit, PIEZO1/Ca2+/HIF-1α/SLIT3, was validated by applying cyclic compression to 3-dimensional-cultured PDL cells using the Flexcell FX-5000 compression system. In summary, PDL plays a pivotal role in mechanotransduction by translating physical forces into the intracellular signaling axis PIEZO1/Ca2+/HIF-1α/SLIT3, which promotes type H angiogenesis and OSX+ cell-related osteogenensis, thereby contributing to AB homeostasis. Our findings advance the understanding of PDL in AB disorders. Further therapies targeting SLIT3 may provide new insights into preventing bone loss in ABDO.
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Affiliation(s)
- Y Chen
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, Zhejiang, China
| | - Y Yin
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - M Luo
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - J Wu
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - A Chen
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - L Deng
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - L Xie
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - X Han
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
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Wu ZH, Zheng L, Luo M. [Progress in clinical research on potential therapeutic drugs for acute-on-chronic liver failure]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:1117-1120. [PMID: 38016784 DOI: 10.3760/cma.j.cn501113-20220625-00349] [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] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Acute-on-chronic liver failure (ACLF), has a high mortality rate and a poor prognosis. Currently, the only effective treatment for ACLF is liver transplantation. However, the number of patients who can successfully undergo liver transplantation is limited due to the rapid progression of ACLF, the occurrence of serious complications, and a dearth of liver donors. The available drug treatment indication expansion and pathogenesis exploration are expected to delay the progression of ACLF, reduce complications, and provide patients with opportunities for liver transplantation by improving portal vein pressure, inhibiting excessive inflammatory response, correcting energy metabolism disorders, reducing oxidative stress, resisting hepatic cell apoptosis, and promoting liver regeneration.
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Affiliation(s)
- Z H Wu
- Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| | - L Zheng
- Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| | - M Luo
- Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
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Li L, Lin D, Lin Z, Li M, Lian Z, Zhao L, Wu X, Liu L, Liu J, Wei X, Luo M, Zeng D, Yan A, Iao WC, Shang Y, Xu F, Xiang W, He M, Fu Z, Wang X, Deng Y, Fan X, Ye Z, Wei M, Zhang J, Liu B, Li J, Ding X, Lin H. DeepQuality improves infant retinopathy screening. NPJ Digit Med 2023; 6:192. [PMID: 37845275 PMCID: PMC10579317 DOI: 10.1038/s41746-023-00943-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023] Open
Abstract
Image quality variation is a prominent cause of performance degradation for intelligent disease diagnostic models in clinical applications. Image quality issues are particularly prominent in infantile fundus photography due to poor patient cooperation, which poses a high risk of misdiagnosis. Here, we developed a deep learning-based image quality assessment and enhancement system (DeepQuality) for infantile fundus images to improve infant retinopathy screening. DeepQuality can accurately detect various quality defects concerning integrity, illumination, and clarity with area under the curve (AUC) values ranging from 0.933 to 0.995. It can also comprehensively score the overall quality of each fundus photograph. By analyzing 2,015,758 infantile fundus photographs from real-world settings using DeepQuality, we found that 58.3% of them had varying degrees of quality defects, and large variations were observed among different regions and categories of hospitals. Additionally, DeepQuality provides quality enhancement based on the results of quality assessment. After quality enhancement, the performance of retinopathy of prematurity (ROP) diagnosis of clinicians was significantly improved. Moreover, the integration of DeepQuality and AI diagnostic models can effectively improve the model performance for detecting ROP. This study may be an important reference for the future development of other image-based intelligent disease screening systems.
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Affiliation(s)
- Longhui Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Duoru Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
| | - Zhenzhe Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Mingyuan Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Zhangkai Lian
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Lanqin Zhao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Xiaohang Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Lixue Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Jiali Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Xiaoyue Wei
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Mingjie Luo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Danqi Zeng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Anqi Yan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Wai Cheng Iao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Yuanjun Shang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Fabao Xu
- Department of Ophthalmology, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Wei Xiang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Muchen He
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhe Fu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xueyu Wang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yaru Deng
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xinyan Fan
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhijun Ye
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Meirong Wei
- Department of Ophthalmology, Maternal and Children's Hospital, Liuzhou, Guangxi, China
| | - Jianping Zhang
- Department of Ophthalmology, Maternal and Children's Hospital, Liuzhou, Guangxi, China
| | - Baohai Liu
- Department of Ophthalmology, Maternal and Children's Hospital, Linyi, Shandong, China
| | - Jianqiao Li
- Department of Ophthalmology, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Xiaoyan Ding
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Haotian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, Hainan, China.
- Center for Precision Medicine and Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
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Dai J, Zhou FX, Xu H, Jiang CQ, Wang WB, Jiang HG, Wang QY, Wang Y, Xia L, Wu H, Peng J, Wei Y, Luo M, Tang F, Yang L, Hu H, Huang TH, Jiang DZ, Wang DJ, Wang XY. Efficacy and Safety of High-Dose Vitamin C Combined with Total Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer (HCCSC R02 Study). Int J Radiat Oncol Biol Phys 2023; 117:e291-e292. [PMID: 37785075 DOI: 10.1016/j.ijrobp.2023.06.1287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Forpatients with locally advanced rectal cancer (LARC), the standard treatment is fluoropyrimidine (FU) -based neoadjuvant chemoradiotherapy (NCRT) combined with curative surgery. The CAO/ARO/AIO-04 trial and FORWARC trial reported that the addition of oxaliplatin to FU -based NCRT contributed to improve pathologic complete response (pCR), nevertheless, increased the acute therapeutic toxicity. Some studies showed that vitamin C (VitC) had potential benefits on anti-tumor therapy and anti-inflammatory response. Therefore, we conducted this HCCSC R02 study to explore the efficacy and safety of adding a high-dose intravenous VitC to mFOLFOX6/XELOX -based NCRT in LARC. MATERIALS/METHODS HCCSCR02 study was designed as a prospective, single-center phase II trial, which including pts aged 18-75 years with stage II/III rectal adenocarcinoma, distance from anus ≤12cm. The enrollment criteria included: staged with MRI as cT3/cT4 or cN1/2, or mesorectal fascia involvement (MRF+), or difficult to preserve the anus. Patients with glucose-6-phosphate dehydrogenase enzyme(G6PD) deficiency were excluded. Pelvic intensity modulated radiation therapy (IMRT) was given in 45-50.4Gy/25-28 fractions. Concurrently, two cycles of chemotherapy (mFOLFOX6 or XELOX) were administered during IMRT, as well as intravenous VitC (24g) delivered daily after the end of each radiation therapy. Additional 2-3 cycles of mFOLFOX6 / XELOX were adopted between the completion of radiotherapy and surgery. The primary endpoint was pCR rate. The secondary endpoints included radiation-related toxicities, overall survival (OS) and disease-free survival (DFS). This study is still recruiting. RESULTS From May 15, 2021 to Feb 8, 2023, 19 pts were recruited and finished all the scheduled NCRT, of which the proportion of cT4, cT3, cN2, cN1 were 31.6%, 63.2%, 52.6%, 36.8%, respectively. In addition, 10 pts (52.6%) were diagnosed as MRF+ initially, and 8 pts (42.1%) had a lower primary tumor(≤5cm) who were considered difficult for anal preservation before NCRT. All subjects enrolled were confirmed to be proficient mismatch repair (pMMR). As a result, 18 pts underwent a total mesorectal excision (TME) all with R0-resection, and 8 pts were evaluated as pCR (44.4%, 8/18, confidence interval: 0.246-0.663), 11 as major pathological response rate (MPR) (61.6%, 11/18), respectively. The anus preservation rate in patients with lower diseases was 87.5% (7/8). One case accepted a watch-and-wait strategy because of clinical complete response (cCR). Overall, grade 3 toxicities were observed in 4 pts, including 3 leucopenia (15.8%, 3/19), 2 neutropenia (10.5%, 2/19) and 1 diarrhea (5.3%, 1/19). No grade 4 adverse event was observed. CONCLUSION The addition of high-dose VitC to the mFOLFOX6/XELOX-based NCRT in LARC showed a promising pCR, well tolerance, particularly low rate of diarrhea, thus warrants further investigation. CLINICAL TRIAL INFORMATION NCT04801511.
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Affiliation(s)
- J Dai
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - F X Zhou
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - H Xu
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - C Q Jiang
- Department of Colorectal and Anal Surgery, Low Rectal Cancer Diagnosis and Treatment Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - W B Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - H G Jiang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Q Y Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Y Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - L Xia
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - H Wu
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - J Peng
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Y Wei
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - M Luo
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - F Tang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - L Yang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - H Hu
- Department of Colorectal and Anal Surgery, Low Rectal Cancer Diagnosis and Treatment Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - T H Huang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - D Z Jiang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - D J Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - X Y Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
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Luo M, Liu RZ, Li YJ, Zhang SD, Wu ZY. Investigating the prognostic value of constructing disulfidptosis-related gene models for lung adenocarcinoma patients. Eur Rev Med Pharmacol Sci 2023; 27:9569-9585. [PMID: 37916324 DOI: 10.26355/eurrev_202310_34130] [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: 11/03/2023]
Abstract
OBJECTIVE Disulfidptosis is a novel mode of cell death, a programmed mode of intracellular disulfide accumulation due to solute carrier family 7 member 11 (SLC7A11)-mediated abnormalities in the cell membrane cystine transport system. Numerous studies have confirmed the prominent role played by SLC7A11 in tumors, but the involvement of SLC7A11 as an important mediator of disulfidptosis in the death process of lung adenocarcinoma cells remains unclear. MATERIALS AND METHODS We obtained 4,107 SLC7A11-related genes and analyzed them using a total of 1,040 lung adenocarcinoma transcriptome sequencing data from The Cancer Genome Atlas (TCGA) cohort and GEO (Gene Expression Omnibus) cohort and 991 relevant clinical data. First, we screened for differential genes and identified molecular subtypes for assessing characteristic differences between lung adenocarcinoma subtypes under the influence of SLC7A11-associated genes. Then, risk score models were constructed to assess the prognosis, immune infiltration, tumor microenvironment, and drug treatment effects in lung adenocarcinoma patients. Finally, we also analyzed the distribution of cell types and expression of characteristic genes within the tumor using a single-cell database. In addition, relevant drug sensitivities were predicted. RESULTS We screened 956 genes with significant differences and identified 2 molecular subtypes and found significant differences in their prognosis and that subtype B had a significantly better survival prognosis than subtype A. In addition, we found that pathways associated with cell proliferation division and DNA repair were enriched in the high-risk type A samples. Finally, we constructed a robust risk-scoring system, and our risk analysis revealed a general reduction of various immune cell components and tumor stromal components in the immune microenvironment of high-risk lung adenocarcinoma and a distinct immune infiltration pattern of immune cells, which was associated with a lower survival rate. CONCLUSIONS Our comprehensive analysis of SLC7A11-related genes suggests that disulfidptosis has a potential value in the tumor microenvironment, immunity, clinical outcome, and prognosis of lung adenocarcinoma. These findings may increase our understanding of disulfidptosis as a novel cell death paradigm and provide ideas for assessing the prognosis of lung adenocarcinoma and developing new diagnostic and therapeutic strategies.
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Affiliation(s)
- M Luo
- School of Clinical Medicine, Henan University, Kaifeng, China.
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Corenblum MJ, McRobbie-Johnson A, Carruth E, Bernard K, Luo M, Mandarino LJ, Peterson S, Sans-Fuentes MA, Billheimer D, Maley T, Eggers ED, Madhavan L. Parallel neurodegenerative phenotypes in sporadic Parkinson's disease fibroblasts and midbrain dopamine neurons. Prog Neurobiol 2023; 229:102501. [PMID: 37451330 DOI: 10.1016/j.pneurobio.2023.102501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/29/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
Understanding the mechanisms causing Parkinson's disease (PD) is vital to the development of much needed early diagnostics and therapeutics for this debilitating condition. Here, we report cellular and molecular alterations in skin fibroblasts of late-onset sporadic PD subjects, that were recapitulated in matched induced pluripotent stem cell (iPSC)-derived midbrain dopamine (DA) neurons, reprogrammed from the same fibroblasts. Specific changes in growth, morphology, reactive oxygen species levels, mitochondrial function, and autophagy, were seen in both the PD fibroblasts and DA neurons, as compared to their respective controls. Additionally, significant alterations in alpha synuclein expression and electrical activity were also noted in the PD DA neurons. Interestingly, although the fibroblast and neuronal phenotypes were similar to each other, they differed in their nature and scale. Furthermore, statistical analysis revealed potential novel associations between various clinical measures of the PD subjects and the different fibroblast and neuronal data. In essence, these findings encapsulate spontaneous, in-tandem, disease-related phenotypes in both sporadic PD fibroblasts and iPSC-based DA neurons, from the same patient, and generates an innovative model to investigate PD mechanisms with a view towards rational disease stratification and precision treatments.
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Affiliation(s)
- M J Corenblum
- Department of Neurology, University of Arizona, Tucson, AZ, United States
| | - A McRobbie-Johnson
- Physiological Sciences Graduate Program, University of Arizona, Tucson, AZ, United States
| | - E Carruth
- Physiology Undergraduate Program, University of Arizona, Tucson, AZ, United States
| | - K Bernard
- Physiological Sciences Graduate Program, University of Arizona, Tucson, AZ, United States
| | - M Luo
- Department of Medicine, University of Arizona, Tucson, AZ, United States
| | - L J Mandarino
- Department of Medicine, University of Arizona, Tucson, AZ, United States
| | - S Peterson
- Statistical Consulting Lab, BIO5 Institute, University of Arizona, Tucson, AZ, United States
| | - M A Sans-Fuentes
- Statistical Consulting Lab, BIO5 Institute, University of Arizona, Tucson, AZ, United States
| | - D Billheimer
- Statistical Consulting Lab, BIO5 Institute, University of Arizona, Tucson, AZ, United States
| | - T Maley
- Physiological Sciences Graduate Program, University of Arizona, Tucson, AZ, United States
| | - E D Eggers
- Departments of Physiology and Biomedical Engineering, University of Arizona, Tucson, AZ, United States
| | - L Madhavan
- Department of Neurology, University of Arizona, Tucson, AZ, United States; Evelyn F McKnight Brain Institute and BIO5 Institute, University of Arizona, Tucson, AZ, United States.
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Zhang P, Ohshima S, Zhao H, Kobayashi S, Kado S, Minami T, Kin F, Miyashita A, Iwata A, Kondo Y, Qiu D, Wang C, Luo M, Konoshima S, Inagaki S, Okada H, Mizuuchi T, Nagasaki K. Characterization of a retroreflector array for 320-GHz interferometer system in Heliotron J. Rev Sci Instrum 2023; 94:093501. [PMID: 37671952 DOI: 10.1063/5.0162649] [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: 06/15/2023] [Accepted: 08/16/2023] [Indexed: 09/07/2023]
Abstract
A retroreflector array, composed of a cluster of small retroreflectors, is experimentally studied for application to a Michelson-type interferometer system in the fusion plasma experiment. Such a new-type reflector has the potential to be a vital and effective tool at a spatially limited location, such as on the vacuum chamber wall of plasma experimental devices. To investigate the effect of retroreflector array on the reflected beam properties, a tabletop experiment is performed with the retroreflector array composed of 4 mm corner-cube retroreflectors and with a 320-GHz (λ ∼ 0.937 mm) submillimeter wave source. An imaging camera is utilized to measure the submillimeter wave beam profile and is scanned perpendicularly to the beam propagation direction if necessary. The experimental result exhibits a diffraction effect on the reflected beam, resulting in the emergence of discrete peaks on the reflected beam profile, as predicted in the past numerical study; however, the most reflected beam power converges on the one reflected into the incident direction, resulting from a property as a retroreflector. Furthermore, the dependence of the reflected beam on the incident beam angle is characterized while fixing the detector position, and the retroreflection beam intensity is found to vary due to the diffraction effect. Such an undesired variation of beam intensity induced by the diffraction can be suppressed with a focusing lens placed in front of the detector in the practical application to an interferometer.
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Affiliation(s)
- P Zhang
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Ohshima
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - H Zhao
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Kobayashi
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Kado
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - T Minami
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - F Kin
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - A Miyashita
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - A Iwata
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - Y Kondo
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - D Qiu
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - C Wang
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - M Luo
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Konoshima
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Inagaki
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - H Okada
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - T Mizuuchi
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - K Nagasaki
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
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11
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Tan XH, Deng AP, Zhang YT, Luo M, Deng H, Yang YW, Duan JH, Peng ZQ, Zhang M. [Analysis of the impact of health management measures for entry personnel on imported Dengue fever in Guangdong Province, 2020-2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:954-959. [PMID: 37380419 DOI: 10.3760/cma.j.cn112338-20221021-00899] [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: 06/30/2023]
Abstract
Objective: To explore the impact of health management measures for entry personnel (entry management measures) against COVID-19 on the epidemiological characteristics of imported Dengue fever in Guangdong Province from 2020 to 2022. Methods: Data of imported Dengue fever from January 1, 2016 to August 31, 2022, mosquito density surveillance from 2016 to 2021, and international airline passengers and Dengue fever annual reported cases from 2011 to 2021 in Guangdong were collected. Comparative analysis was conducted to explore changes in the epidemic characteristics of imported Dengue fever before the implementation of entry management measures (from January 1, 2016 to March 20, 2020) and after the implementation (from March 21, 2020 to August 31, 2022). Results: From March 21, 2020, to August 31, 2022, a total of 52 cases of imported Dengue fever cases were reported, with an imported risk intensity of 0.12, which were lower than those before implementation of entry management measures (1 828, 5.29). No significant differences were found in the characteristics of imported cases before and after implementation of entry management measures, including seasonality, sex, age, career, and imported countries (all P>0.05). 59.62% (31/52) of cases were found at the centralized isolation sites and 38.46% (20/52) at the entry ports. However, before implementation of entry management measures, 95.08% (1 738/1 828) of cases were found in hospitals. Among 51 cases who had provided entry dates, 82.35% (42/51) and 98.04% (50/51) of cases were found within seven days and fourteen days after entry, slightly higher than before implementation [(72.69%(362/498) and 97.59% (486/498)]. There was significant difference between the monthly mean values of Aedes mosquito larval density (Bretto index) from 2020 to 2021 and those from 2016 to 2019 (Z=2.83, P=0.005). There is a strong positive correlation between the annual international airline passengers volume in Guangdong from 2011 to 2021 and the annual imported Dengue fever cases (r=0.94, P<0.001), and a positive correlation also existed between the international passenger volume and the annual indigenous Dengue fever cases (r=0.72, P=0.013). Conclusions: In Guangdong, the entry management measures of centralized isolation for fourteen days after entry from abroad had been implemented, and most imported Dengue fever cases were found within fourteen days after entry. The risk of local transmission caused by imported cases has reduced significantly.
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Affiliation(s)
- X H Tan
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - A P Deng
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Y T Zhang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - M Luo
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - H Deng
- Institute of Disinfection and Vector Control, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Y W Yang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - J H Duan
- Institute of Disinfection and Vector Control, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Z Q Peng
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - M Zhang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
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Wei Y, Zhang L, Wang C, Li Z, Luo M, Xie G, Yang X, Li M, Ren S, Zhao D, Gao R, Gong J. Anti-apoptotic protein BCL-XL as a therapeutic vulnerability in gastric cancer. Animal Model Exp Med 2023; 6:245-254. [PMID: 37271936 PMCID: PMC10272913 DOI: 10.1002/ame2.12330] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/08/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND New therapeutic targets are needed to improve the outcomes for gastric cancer (GC) patients with advanced disease. Evasion of programmed cell death (apoptosis) is a hallmark of cancer cells and direct induction of apoptosis by targeting the pro-survival BCL2 family proteins represents a promising therapeutic strategy for cancer treatment. Therefore, understanding the molecular mechanisms underpinning cancer cell survival could provide a molecular basis for potential therapeutic interventions. METHOD Here we explored the role of BCL2L1 and the encoded anti-apoptotic BCL-XL in GC. Using Droplet Digital PCR (ddPCR) technology to investigate the DNA amplification of BCL2L1 in GC samples and GC cell lines, the sensitivity of GC cell lines to selective BCL-XL inhibitors A1155463 and A1331852, pan-inhibitor ABT-263, and VHL-based PROTAC-BCL-XL was analyzed using (CellTiter-Glo) CTG assay in vitro. Western Blot (WB) was used to detect the protein expression of BCL2 family members in GC cell lines and the manner in which PROTAC-BCL-XL kills GC cells. Co-immunoprecipitation (Co-IP) was used to investigate the mechanism of A1331852 and ABT-263 kills GC cell lines. DDPCR, WB, and real-time PCR (RTPCR) were used to investigate the correlation between DNA, RNA, protein levels, and drug activity. RESULTS The functional assay showed that a subset of GC cell lines relies on BCL-XL for survival. In gastric cancer cell lines, BCL-XL inhibitors A1155463 and A1331852 are more sensitive than the pan BCL2 family inhibitor ABT-263, indicating that ABT-263 is not an optimal inhibitor of BCL-XL. VHL-based PROTAC-BCL-XL DT2216 appears to be active in GC cells. DT2216 induces apoptosis of gastric cancer cells in a time- and dose-dependent manner through the proteasome pathway. Statistical analysis showed that the BCL-XL protein level predicts the response of GC cells to BCL-XL targeting therapy and BCL2L1 gene CNVs do not reliably predict BCL-XL expression. CONCLUSION We identified BCL-XL as a promising therapeutic target in a subset of GC cases with high levels of BCL-XL protein expression. Functionally, we demonstrated that both selective BCL-XL inhibitors and VHL-based PROTAC BCL-XL can potently kill GC cells that are reliant on BCL-XL for survival. However, we found that BCL2L1 copy number variations (CNVs) cannot reliably predict BCL-XL expression, but the BCL-XL protein level serves as a useful biomarker for predicting the sensitivity of GC cells to BCL-XL-targeting compounds. Taken together, our study pinpointed BCL-XL as potential druggable target for specific subsets of GC.
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Affiliation(s)
- Yumin Wei
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Liping Zhang
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Chao Wang
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Zefeng Li
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Mingjie Luo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic CenterSun Yat‐Sen UniversityGuangzhouChina
| | - Guomin Xie
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Xingjiu Yang
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Mengyuan Li
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Shuyue Ren
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Dongbing Zhao
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ran Gao
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Jia‐Nan Gong
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
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Wang KY, Luo M, Luo MJ, Chen Q, Liu XM, Zhu XY, Shi LX, Zhang Q. [A case of multiple endocrine neoplasia syndrome type 2A combined with autoimmune polyendocrine syndrome type Ⅲ]. Zhonghua Nei Ke Za Zhi 2023; 62:550-553. [PMID: 37096283 DOI: 10.3760/cma.j.cn112138-20221020-00769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Affiliation(s)
- K Y Wang
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
| | - M Luo
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
| | - M J Luo
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
| | - Q Chen
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
| | - X M Liu
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
| | - X Y Zhu
- Department of Pathology, Guiqian International General Hospital, Guiyang 550018, China
| | - L X Shi
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
| | - Q Zhang
- Department of Endocrinology & Metabolism, Guiqian International General Hospital, Guiyang 550018, China
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Liu H, Zhang GN, Luo M, Zhang XD, Fan Y, Peng CR. [Clinicopathological features and prognostic factors of patients with lung metastasis of stage Ⅰa~Ⅲb cervical cancer]. Zhonghua Zhong Liu Za Zhi 2023; 45:340-347. [PMID: 37078216 DOI: 10.3760/cma.j.cn112152-20211230-00984] [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] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Objective: To investigate the clinicopathological features and prognostic factors of lung metastasis in patients with cervical cancer after treatment. Methods: The clinicopathological data of 191 patients with lung metastasis of stage Ⅰa-Ⅲb cervical cancer (FIGO 2009 stage) treated in Sichuan Cancer Hospital from January 2007 to December 2020 were analyzed retrospectively. Kaplan Meier method and Log rank test were used for survival analysis, and Cox regression model was used for prognostic factors analysis. Results: Among 191 patients with lung metastasis of cervical cancer, pulmonary metastasis was found in 134 patients (70.2%) during follow-up examination, and 57 patients (29.8%) had clinical symptoms (cough, chest pain, shortness of breath, hemoptysis, and fever). The time from the initial treatment of cervical cancer to the discovery of lung metastasis was 1-144 months in the whole group, with a median time of 19 months. Univariate analysis of the prognosis of lung metastasis after treatment of cervical cancer showed that the diameter of cervical tumor, lymph node metastasis, positive surgical margin, disease-free interval after treatment of cervical cancer, whether it is accompanied by other metastasis, the number, location and maximum diameter of lung metastasis, and the treatment method after lung metastasis are related to the prognosis of patients with lung metastasis of cervical cancer. Multivariate analysis showed that the number of lung metastases and other site metastases in addition to lung metastases were independent factors affecting the prognosis of patients with lung metastases of cervical cancer (P<0.05). Conclusions: For patients with cervical cancer, attention should be paid to chest CT examination during follow-up to guard against the possibility of lung metastasis after treatment. Besides lung metastasis, other site metastasis and the number of lung metastasis are independent factors affecting the prognosis of patients with lung metastasis of cervical cancer. For patients with lung metastasis after treatment of cervical cancer, surgical treatment is an effective treatment. It is necessary to strictly grasp the surgical indications, and some patients can achieve long-term survival. For patients with lung metastasis of cervical cancer who are not suitable for resection of lung metastasis, the remedial treatment of chemotherapy with or without radiotherapy is still a recommended choice.
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Affiliation(s)
- H Liu
- Departments of Gynecological Oncology, Sichuan Cancer Hospital & Institute, Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu 610041, China
| | - G N Zhang
- Departments of Gynecological Oncology, Sichuan Cancer Hospital & Institute, Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu 610041, China
| | - M Luo
- School of Medicine, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - X D Zhang
- GCP office, Sichuan Cancer Hospital & Institute, Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Y Fan
- Departments of Gynecological Oncology, Sichuan Cancer Hospital & Institute, Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu 610041, China
| | - C R Peng
- Departments of Gynecological Oncology, Sichuan Cancer Hospital & Institute, Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu 610041, China
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15
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Allega A, Anderson MR, Andringa S, Antunes J, Askins M, Auty DJ, Bacon A, Barros N, Barão F, Bayes R, Beier EW, Bezerra TS, Bialek A, Biller SD, Blucher E, Caden E, Callaghan EJ, Cheng S, Chen M, Cleveland B, Cookman D, Corning J, Cox MA, Dehghani R, Deloye J, Deluce C, Depatie MM, Dittmer J, Dixon KH, Di Lodovico F, Falk E, Fatemighomi N, Ford R, Frankiewicz K, Gaur A, González-Reina OI, Gooding D, Grant C, Grove J, Hallin AL, Hallman D, Heintzelman WJ, Helmer RL, Hu J, Hunt-Stokes R, Hussain SMA, Inácio AS, Jillings CJ, Kaluzienski S, Kaptanoglu T, Khaghani P, Khan H, Klein JR, Kormos LL, Krar B, Kraus C, Krauss CB, Kroupová T, Lam I, Land BJ, Lawson I, Lebanowski L, Lee J, Lefebvre C, Lidgard J, Lin YH, Lozza V, Luo M, Maio A, Manecki S, Maneira J, Martin RD, McCauley N, McDonald AB, Mills C, Morton-Blake I, Naugle S, Nolan LJ, O'Keeffe HM, Orebi Gann GD, Page J, Parker W, Paton J, Peeters SJM, Pickard L, Ravi P, Reichold A, Riccetto S, Richardson R, Rigan M, Rose J, Rosero R, Rumleskie J, Semenec I, Skensved P, Smiley M, Svoboda R, Tam B, Tseng J, Turner E, Valder S, Virtue CJ, Vázquez-Jáuregui E, Wang J, Ward M, Wilson JR, Wilson JD, Wright A, Yanez JP, Yang S, Yeh M, Yu S, Zhang Y, Zuber K, Zummo A. Evidence of Antineutrinos from Distant Reactors Using Pure Water at SNO. Phys Rev Lett 2023; 130:091801. [PMID: 36930908 DOI: 10.1103/physrevlett.130.091801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/14/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The SNO+ Collaboration reports the first evidence of reactor antineutrinos in a Cherenkov detector. The nearest nuclear reactors are located 240 km away in Ontario, Canada. This analysis uses events with energies lower than in any previous analysis with a large water Cherenkov detector. Two analytical methods are used to distinguish reactor antineutrinos from background events in 190 days of data and yield consistent evidence for antineutrinos with a combined significance of 3.5σ.
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Affiliation(s)
- A Allega
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M R Anderson
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - S Andringa
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
| | - J Antunes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Instituto Superior Técnico (IST), Departamento de Física, Avenida Rovisco Pais, 1049-001, Lisboa, Portugal
| | - M Askins
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - D J Auty
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - A Bacon
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - N Barros
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - F Barão
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Instituto Superior Técnico (IST), Departamento de Física, Avenida Rovisco Pais, 1049-001, Lisboa, Portugal
| | - R Bayes
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - E W Beier
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - T S Bezerra
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - A Bialek
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - S D Biller
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - E Blucher
- The Enrico Fermi Institute and Department of Physics, The University of Chicago, Chicago, Illinois 60637, USA
| | - E Caden
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - E J Callaghan
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - S Cheng
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M Chen
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - B Cleveland
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - D Cookman
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - J Corning
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M A Cox
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - R Dehghani
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Deloye
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - C Deluce
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - M M Depatie
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - J Dittmer
- Technische Universität Dresden, Institut für Kern und Teilchenphysik, Zellescher Weg 19, Dresden 01069, Germany
| | - K H Dixon
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - F Di Lodovico
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - E Falk
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - N Fatemighomi
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - R Ford
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - K Frankiewicz
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - A Gaur
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - O I González-Reina
- Universidad Nacional Autónoma de México (UNAM), Instituto de Física, Apartado Postal 20-364, México D.F. 01000, México
| | - D Gooding
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - C Grant
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - J Grove
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - A L Hallin
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - D Hallman
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - W J Heintzelman
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - R L Helmer
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
| | - J Hu
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - R Hunt-Stokes
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S M A Hussain
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - A S Inácio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - C J Jillings
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - S Kaluzienski
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - T Kaptanoglu
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - P Khaghani
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - H Khan
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - J R Klein
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - L L Kormos
- Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - B Krar
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Kraus
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - C B Krauss
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - T Kroupová
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - I Lam
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - B J Land
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - I Lawson
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - L Lebanowski
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - J Lee
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Lefebvre
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Lidgard
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - Y H Lin
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - V Lozza
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - M Luo
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - A Maio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - S Manecki
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - J Maneira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - R D Martin
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - N McCauley
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - A B McDonald
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Mills
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - I Morton-Blake
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Naugle
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - L J Nolan
- School of Physics and Astronomy, Queen Mary University of London, 327 Mile End Road, London E1 4NS, United Kingdom
| | - H M O'Keeffe
- Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - G D Orebi Gann
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - J Page
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - W Parker
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - J Paton
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S J M Peeters
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - L Pickard
- University of California, Davis, 1 Shields Avenue, Davis, California 95616, USA
| | - P Ravi
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - A Reichold
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Riccetto
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - R Richardson
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - M Rigan
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - J Rose
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - R Rosero
- Chemistry Department, Brookhaven National Laboratory, Building 555, P.O. Box 5000, Upton, New York 11973-500, USA
| | - J Rumleskie
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - I Semenec
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - P Skensved
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M Smiley
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - R Svoboda
- University of California, Davis, 1 Shields Avenue, Davis, California 95616, USA
| | - B Tam
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Tseng
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - E Turner
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Valder
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - C J Virtue
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - E Vázquez-Jáuregui
- Universidad Nacional Autónoma de México (UNAM), Instituto de Física, Apartado Postal 20-364, México D.F. 01000, México
| | - J Wang
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - M Ward
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J R Wilson
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - J D Wilson
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - A Wright
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J P Yanez
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - S Yang
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - M Yeh
- Chemistry Department, Brookhaven National Laboratory, Building 555, P.O. Box 5000, Upton, New York 11973-500, USA
| | - S Yu
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - Y Zhang
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - K Zuber
- Technische Universität Dresden, Institut für Kern und Teilchenphysik, Zellescher Weg 19, Dresden 01069, Germany
- MTA Atomki, 4001 Debrecen, Hungary
| | - A Zummo
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
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Feng J, Zhou L, Zhao X, Chen J, Li Z, Liu Y, Ou L, Xie Z, Wang M, Yin X, Zhang X, Li Y, Luo M, Zeng L, Yan Q, Xie L, Sun L. Evaluation of environmental factors and microbial community structure in an important drinking-water reservoir across seasons. Front Microbiol 2023; 14:1091818. [PMID: 36865780 PMCID: PMC9971975 DOI: 10.3389/fmicb.2023.1091818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/09/2023] [Indexed: 02/18/2023] Open
Abstract
The composition of microbial communities varies in water and sediments, and changes in environmental factors have major effects on microbiomes. Here, we characterized variations in microbial communities and physicochemical factors at two sites in a large subtropical drinking water reservoir in southern China. The microbiomes of all sites, including the diversity and abundance of microbial species, were determined via metagenomics, and the relationships between microbiomes and physicochemical factors were determined via redundancy analysis. The dominant species in sediment and water samples differed; Dinobryon sp. LO226KS and Dinobryon divergens were dominant in sediment samples, whereas Candidatus Fonsibacter ubiquis and Microcystis elabens were dominant in water. The diversity was also significantly different in microbial alpha diversity between water and sediment habitats (p < 0.01). The trophic level index (TLI) was the major factor affecting the microbial community in water samples; Mycolicibacterium litorale and Mycolicibacterium phlei were significantly positively related to TLI. Furthermore, we also studied the distribution of algal toxin-encoding genes and antibiotic-resistant genes (ARGs) in the reservoir. It found that water samples contained more phycotoxin genes, with the cylindrospermopsin gene cluster most abundant. We found three genera highly related to cylindrospermopsin and explored a new cyanobacteria Aphanocapsa montana that may produce cylindrospermopsin based on the correlation through network analysis. The multidrug resistance gene was the most abundant ARG, while the relationship between ARGs and bacteria in sediment samples was more complicated than in water. The results of this study enhance our understanding of the effects of environmental factors on microbiomes. In conclusion, research on the properties, including profiles of algal toxin-encoding genes and ARGs, and microbial communities can aid water quality monitoring and conservation.
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Affiliation(s)
- Jie Feng
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Letian Zhou
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Xiaochao Zhao
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Jianyi Chen
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Zhi Li
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Yongfeng Liu
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Lei Ou
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Zixin Xie
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Miao Wang
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Xue Yin
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Xin Zhang
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Yan Li
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Mingjie Luo
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Lidong Zeng
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Qin Yan
- GeneMind Biosciences Company Limited, Shenzhen, China
| | - Linshen Xie
- State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology, Shenzhen Academy of Environmental Sciences, Shenzhen, China,*Correspondence: Linshen Xie,
| | - Lei Sun
- GeneMind Biosciences Company Limited, Shenzhen, China,*Correspondence: Linshen Xie,
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17
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Corenblum MJ, McRobbie-Johnson A, Carruth E, Bernard K, Luo M, Mandarino LJ, Peterson S, Billheimer D, Maley T, Eggers ED, Madhavan L. Parallel Neurodegenerative Phenotypes in Sporadic Parkinson's Disease Fibroblasts and Midbrain Dopamine Neurons. bioRxiv 2023:2023.02.10.527867. [PMID: 36798207 PMCID: PMC9934693 DOI: 10.1101/2023.02.10.527867] [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] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Understanding the mechanisms causing Parkinson's disease (PD) is vital to the development of much needed early diagnostics and therapeutics for this debilitating condition. Here, we report cellular and molecular alterations in skin fibroblasts of late-onset sporadic PD subjects, that were recapitulated in matched induced pluripotent stem cell (iPSC)-derived midbrain dopamine (DA) neurons, reprogrammed from the same fibroblasts. Specific changes in growth, morphology, reactive oxygen species levels, mitochondrial function, and autophagy, were seen in both the PD fibroblasts and DA neurons, as compared to their respective controls. Additionally, significant alterations in alpha synuclein expression and electrical activity were also noted in the PD DA neurons. Interestingly, although the fibroblast and neuronal phenotypes were similar to each other, they also differed in their nature and scale. Furthermore, statistical analysis revealed novel associations between various clinical measures of the PD subjects and the different fibroblast and neuronal data. In essence, these findings encapsulate spontaneous, in-tandem, disease-related phenotypes in both sporadic PD fibroblasts and iPSC-based DA neurons, from the same patient, and generates an innovative model to investigate PD mechanisms with a view towards rational disease stratification and precision treatments.
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Zhang P, Ohshima S, Zhao H, Deng C, Kobayashi S, Kado S, Minami T, Matoike R, Miyashita A, Iwata A, Kondo Y, Qiu D, Wang C, Luo M, Konoshima S, Inagaki S, Okada H, Mizuuchi T, Nagasaki K. Development and initial results of 320 GHz interferometer system in Heliotron J. Rev Sci Instrum 2022; 93:113519. [PMID: 36461432 DOI: 10.1063/5.0101808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/02/2022] [Indexed: 06/17/2023]
Abstract
A new 320 GHz solid-state source interferometer is installed in the Heliotron J helical device to explore the physics of high-density plasmas (ne > 2-3 × 1019 m-3, typically) realized with advanced fueling techniques. This interferometry system is of the Michelson type and is based on the heterodyne principle, with two independent solid-state sources that can deliver an output power of up to 50 mW. A high time resolution measurement of <1 µs can be derived by tuning the frequency of one source in the frequency range of 312-324 GHz on the new system, which can realize the fluctuation measurement. We successfully measured the line-averaged electron density in high-density plasma experiments. The measured density agreed well with a microwave interferometer measurement using a different viewing chord, demonstrating that the new system can be used for routine diagnostics of electron density in Heliotron J.
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Affiliation(s)
- P Zhang
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Ohshima
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - H Zhao
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - C Deng
- University of California, Los Angeles, California 90095-1594, USA
| | - S Kobayashi
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Kado
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - T Minami
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - R Matoike
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - A Miyashita
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - A Iwata
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - Y Kondo
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - D Qiu
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - C Wang
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - M Luo
- Graduate School of Energy Science, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Konoshima
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - S Inagaki
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - H Okada
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - T Mizuuchi
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - K Nagasaki
- Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan
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Psaltis A, Chen AA, Longland R, Connolly DS, Brune CR, Davids B, Fallis J, Giri R, Greife U, Hutcheon DA, Kroll L, Lennarz A, Liang J, Lovely M, Luo M, Marshall C, Paneru SN, Parikh A, Ruiz C, Shotter AC, Williams M. Direct Measurement of Resonances in ^{7}Be(α,γ)^{11}C Relevant to νp-Process Nucleosynthesis. Phys Rev Lett 2022; 129:162701. [PMID: 36306775 DOI: 10.1103/physrevlett.129.162701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 07/01/2022] [Accepted: 08/24/2022] [Indexed: 06/16/2023]
Abstract
We have performed the first direct measurement of two resonances of the ^{7}Be(α,γ)^{11}C reaction with unknown strengths using an intense radioactive ^{7}Be beam and the DRAGON recoil separator. We report on the first measurement of the 1155 and 1110 keV resonance strengths of 1.73±0.25(stat)±0.40(syst) eV and 125_{-25}^{+27}(stat)±15(syst) meV, respectively. The present results have reduced the uncertainty in the ^{7}Be(α,γ)^{11}C reaction rate to ∼9.4%-10.7% over T=1.5-3 GK, which is relevant for nucleosynthesis in the neutrino-driven outflows of core-collapse supernovae (νp process). We find no effect of the new, constrained reaction rate on νp-process nucleosynthesis.
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Affiliation(s)
- A Psaltis
- Department of Physics and Astronomy, McMaster University, Hamilton, Ontario L8S 4M1, Canada
- The NuGrid Collaboration
| | - A A Chen
- Department of Physics and Astronomy, McMaster University, Hamilton, Ontario L8S 4M1, Canada
- The NuGrid Collaboration
| | - R Longland
- Department of Physics, North Carolina State University, Raleigh, North Carolina 27695, USA
- Triangle Universities Nuclear Laboratory, Duke University, Durham, North Carolina 27710, USA
| | - D S Connolly
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
| | - C R Brune
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - B Davids
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
- Department of Physics, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
| | - J Fallis
- North Island College, 2300 Ryan Road, Courtenay, British Columbia V9N 8N6, Canada
| | - R Giri
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - U Greife
- Department of Physics, Colorado School of Mines, Golden, Colorado 80401, USA
| | - D A Hutcheon
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
| | - L Kroll
- Department of Physics and Astronomy, McMaster University, Hamilton, Ontario L8S 4M1, Canada
- The NuGrid Collaboration
| | - A Lennarz
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
| | - J Liang
- Department of Physics and Astronomy, McMaster University, Hamilton, Ontario L8S 4M1, Canada
| | - M Lovely
- Department of Physics, Colorado School of Mines, Golden, Colorado 80401, USA
| | - M Luo
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - C Marshall
- Department of Physics, North Carolina State University, Raleigh, North Carolina 27695, USA
- Triangle Universities Nuclear Laboratory, Duke University, Durham, North Carolina 27710, USA
| | - S N Paneru
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - A Parikh
- Department de Física, Universitat Politècnica de Catalunya, E-08036 Barcelona, Spain
| | - C Ruiz
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
- Department of Physics and Astronomy, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
| | - A C Shotter
- School of Physics, University of Edinburgh EH9 3JZ Edinburgh, United Kingdom
| | - M Williams
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
- Department of Physics, University of York, Heslington, York YO10 5DD, United Kingdom
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20
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Pan C, Guo Z, Luo M. A Simulation Experiment on Quality Dynamics of Reclaimed Water under Different Flow Exchanges. Int J Environ Res Public Health 2022; 19:13091. [PMID: 36293677 PMCID: PMC9603255 DOI: 10.3390/ijerph192013091] [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] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
Reclaimed water plays an important role in maintaining urban aquatic ecosystems, especially in areas with water shortages. However, there is little information on water quality dynamics and its driving mechanism in reclaimed water bodies. The simulated experiments were conducted to investigate the effect of flow exchange on water quality dynamics and soil microbial diversity for 100% reclaimed water and mixed water (50% reclaimed and 50% stream water), and the exchange periods ranged from 2 to 40 days. The results showed that the degradation coefficients (K) of CODMn and NH3-N were 0.015 d-1 and 0.001 d-1 for the mixed water, while their K values were negative for the reclaimed water. The flow exchange had little effect on water quality dynamics for the mixed water, which may be attributed to the relatively low concentration of TP in this reclaimed water. A small or great exchange period led to a relatively high fluctuation in K during the experimental period and corresponded to a worse soil microbial diversity. These results indicate that it is not recommended to fill an isolated urban lake with 100% reclaimed water and that a suitable flow exchange period of 5~10 days could help self-purify the water quality.
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21
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Jennings S, Hu Y, Wellems D, Luo M, Scull C, Taylor C, Nauseef W, Wang G. 405 Neutrophil defect and pathogen selection in cystic fibrosis. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01095-5] [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: 11/05/2022]
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22
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Luo M, Ji Y, Warton D, Yu DW. Extracting abundance information from
DNA
‐based data. Mol Ecol Resour 2022; 23:174-189. [PMID: 35986714 PMCID: PMC10087802 DOI: 10.1111/1755-0998.13703] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/31/2022] [Accepted: 08/16/2022] [Indexed: 11/26/2022]
Abstract
The accurate extraction of species-abundance information from DNA-based data (metabarcoding, metagenomics) could contribute usefully to diet analysis and food-web reconstruction, the inference of species interactions, the modelling of population dynamics and species distributions, the biomonitoring of environmental state and change, and the inference of false positives and negatives. However, multiple sources of bias and noise in sampling and processing combine to inject error into DNA-based data sets. To understand how to extract abundance information, it is useful to distinguish two concepts. (i) Within-sample across-species quantification describes relative species abundances in one sample. (ii) Across-sample within-species quantification describes how the abundance of each individual species varies from sample to sample, such as over a time series, an environmental gradient or different experimental treatments. First, we review the literature on methods to recover across-species abundance information (by removing what we call "species pipeline biases") and within-species abundance information (by removing what we call "pipeline noise"). We argue that many ecological questions can be answered with just within-species quantification, and we therefore demonstrate how to use a "DNA spike-in" to correct for pipeline noise and recover within-species abundance information. We also introduce a model-based estimator that can be used on data sets without a physical spike-in to approximate and correct for pipeline noise.
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Affiliation(s)
- Mingjie Luo
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Biodiversity and Ecological Security of Gaoligong MountainKunming Institute of Zoology, Chinese Academy of SciencesKunmingYunnanChina
- Kunming College of Life SciencesUniversity of Chinese Academy of SciencesKunmingYunnanChina
| | - Yinqiu Ji
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Biodiversity and Ecological Security of Gaoligong MountainKunming Institute of Zoology, Chinese Academy of SciencesKunmingYunnanChina
| | - David Warton
- School of Mathematics and StatisticsUNSW SydneySydneyNew South WalesAustralia
- Evolution and Ecology Research Centre, UNSW SydneySydneyNew South WalesAustralia
| | - Douglas W. Yu
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Biodiversity and Ecological Security of Gaoligong MountainKunming Institute of Zoology, Chinese Academy of SciencesKunmingYunnanChina
- Center for Excellence in Animal Evolution and GeneticsChinese Academy of SciencesKunmingYunnanChina
- School of Biological SciencesUniversity of East Anglia, Norwich Research ParkNorwichNorfolkUK
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23
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Ge C, Du K, Luo M, Shen K, Zhou Y, Guo K, Liu Y, Yin C, Li Y, Li G, Chen X. Serologic response and safety of COVID-19 vaccination in HSCT or CAR T-cell recipients: a systematic review and meta-analysis. Exp Hematol Oncol 2022; 11:46. [PMID: 35974381 PMCID: PMC9380660 DOI: 10.1186/s40164-022-00299-6] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/08/2022] [Indexed: 12/21/2022] Open
Abstract
Background Patients receiving hematopoietic stem cell transplantation (HSCT) or chimeric antigen receptor T cell (CAR T-cell) therapy are immunocompromised and at high risk of viral infection, including SAR2-CoV-2 infection. However, the effectiveness and safety of COVID-19 vaccines in these recipients is not well characterized. The present meta-analysis evaluated the serologic response and safety of COVID-19 vaccines in these population. Methods Literature databases (MEDLINE, EMBASE, Web of Science, MedRvix and BioRvix) were searched for original studies with serologic response post COVID-19 vaccination in HSCT or CAR T-cell recipients published until July 14, 2022. The analysis included 27 observational studies with a total of 2899 patients receiving allogeneic HSCT (2506), autologous HSCT (286) or CAR T-cell therapy (107), and 683 healthy participants with serologic response data. Random effects models were used to pool the rate of serologic response to COVID-19 vaccination in HSCT or CAR T-cell recipients and odds ratio comparing with healthy controls. Results The pooled seropositivity rates in HSCT and CAR T-cell recipients were 0.624 [0.506–0.729] for one dose, 0.745 [0.712–0.776] for two doses. The rates were significantly lower than those in healthy controls (nearly 100%). In subgroup analysis, CAR T-cell recipients exhibited an even lower seroconversion rate (one dose: 0.204 [0.094–0.386]; two doses: 0.277 [0.190–0.386]) than HSCT counterparts (one dose: 0.779 [0.666–0.862]; two doses: 0.793 [0.762–0.821]). The rates were comparable between autologous and allogeneic HSCT recipients. Other possible impact factors related to seropositivity were time interval between therapy and vaccination, use of immunosuppressive drugs and immune cell counts. Most vaccine-related adverse effects were mild and resolvable, comparable to general population. Conclusions This analysis revealed a diminished response to COVID-19 vaccines in HSCT or CAR T-cell recipients. Our findings may inform regular COVID-19 vaccination at appropriate intervals after HSCT or CAR T-cell therapy. Supplementary Information The online version contains supplementary material available at 10.1186/s40164-022-00299-6.
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Affiliation(s)
- Chenghao Ge
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China.,School of Medicine, Tsinghua University, Beijing, China
| | - Kelei Du
- School of Medicine, Tsinghua University, Beijing, China
| | - Mingjie Luo
- School of Medicine, Tsinghua University, Beijing, China
| | - Kaini Shen
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yangzhong Zhou
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Kaiyuan Guo
- School of Medicine, Tsinghua University, Beijing, China
| | - Yang Liu
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Chen Yin
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Yi Li
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Guanqiao Li
- Vanke School of Public Health, Tsinghua University, Beijing, China.
| | - Xiaoyuan Chen
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China. .,Office of Clinical Trial Institute, Beijing Tsinghua Changgung Hospital, Beijing, China.
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24
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Tang RY, Luo M, Fan YB, Xie ZL, Huang FL, Zhang DD, Liu GF, Wang YP, Lin SQ, Chen R. [Effects of menopause on depressive and anxiety symptoms in community women in Beijing]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:419-425. [PMID: 35775249 DOI: 10.3760/cma.j.cn112141-20220208-00064] [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: 06/15/2023]
Abstract
Objective: To determine the effects of menopausal stage, age and other associated risk factors on symptoms of anxiety and depression among women in a community in Beijing. Methods: This study was a community-based prospective cohort. Participants who had transitioned through natural menopause, completed two or more depressive and anxiety symptoms evaluations, aged 35 to 64 years, and did not use hormone therapy were selected from the Peking Union Medical College Hospital aging longitudinal cohort of women in midlife to this analysis. The primary outcome variables were depressive and anxiety symptoms, assessed by hospital anxiety and depression scale (HADS). The generalized estimation equation was used in the statistical analysis. Results: Followed up from 2006 to 2014, 430 women and 2 533 HADS assessments were retained in the cohort. Depressive symptoms were more common than anxiety symptoms during all menopausal stages. The incidences of depressive and anxiety symptoms were 14.5% (19/191) and 3.1% (4/191) in the premenopausal -3 stage, respectively. The incidence increased in both menopausal transition and postmenopausal stage, with the highest incidence in the +1c stage [20.6% (155/751) and 8.8% (66/751), respectively]. However, these differences were not statistically significant (all P>0.05). Depressive symptoms were highest in the ≥60-<65 age group [20.8% (74/355)], and anxiety symptoms were highest in the ≥50-<55 age group [8.2% (62/754)]; but there were no statistical significances between different age groups and depressive and anxiety symptoms (all P>0.05). Multivariable analysis showed that high body mass index, low education status, and poor health status were independently associated with depressive symptoms (all P<0.05), and that poor health status, trouble falling asleep, and early awakening were independently associated with anxiety symptoms (all P<0.01). Conclusions: Depressive and anxiety symptoms are more common during menopausal transition and postmenopausal stage compared with reproductive stage. Depressive symptoms are more common than anxiety symptoms. To screen and assess depressive and anxiety symptoms in perimenopausal women is essential, especially for women with high risk factors.
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Affiliation(s)
- R Y Tang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - M Luo
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - Y B Fan
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - Z L Xie
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - F L Huang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - D D Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - G F Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Y P Wang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - S Q Lin
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - R Chen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
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25
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Liu Y, Han R, Zhou L, Luo M, Zeng L, Zhao X, Ma Y, Zhou Z, Sun L. Correction to: Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis. BMC Genomics 2022; 23:81. [PMID: 35081913 PMCID: PMC8790902 DOI: 10.1186/s12864-022-08307-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Yongfeng Liu
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Ran Han
- Beijing Guoke Biotechnology Co., LTD, Beijing, China
| | - Letian Zhou
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Mingjie Luo
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Lidong Zeng
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Xiaochao Zhao
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Yukun Ma
- Beijing Guoke Biotechnology Co., LTD, Beijing, China
| | - Zhiliang Zhou
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Lei Sun
- GeneMind Biosciences Company Limited, ShenZhen, China.
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26
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Huang B, Liu J, Lu J, Gao W, Zhou L, Tian F, Wang Y, Luo M, Liu D, Xie C, Xun Z, Liu C, Wang Y, Ma H, Guo J. Aerial View of the Association Between m6A-Related LncRNAs and Clinicopathological Characteristics of Pancreatic Cancer. Front Oncol 2022; 11:812785. [PMID: 35047414 PMCID: PMC8762256 DOI: 10.3389/fonc.2021.812785] [Citation(s) in RCA: 2] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/09/2021] [Indexed: 01/14/2023] Open
Abstract
Pancreatic cancer is a highly malignant tumor with a poor survival prognosis. We attempted to establish a robust prognostic model to elucidate the clinicopathological association between lncRNA, which may lead to poor prognosis by influencing m6A modification, and pancreatic cancer. We investigated the lncRNAs expression level and the prognostic value in 440 PDAC patients and 171 normal tissues from GTEx, TCGA, and ICGC databases. The bioinformatic analysis and statistical analysis were used to illustrate the relationship. We implemented Pearson correlation analysis to explore the m6A-related lncRNAs, univariate Cox regression and Kaplan-Meier methods were performed to identify the seven prognostic lncRNAs signatures. We inputted them in the LASSO Cox regression to establish a prognostic model in the TCGA database, verified in the ICGC database. The AUC of the ROC curve of the training set is 0.887, while the validation set is 0.711. Each patient has calculated a risk score and divided it into low-risk and high-risk subgroups by the median value. Moreover, the model showed a robust prognostic ability in the stratification analysis of different risk subgroups, pathological grades, and recurrence events. We established a ceRNA network between lncRNAs and m6A regulators. Enrichment analysis indicated that malignancy-associated biological function and signaling pathways were enriched in the high-risk subgroup and m6A-related lncRNAs target mRNA. We have even identified small molecule drugs, such as Thapsigargin, Mepacrine, and Ellipticine, that may affect pancreatic cancer progression. We found that seven lncRNAs were highly expressed in tumor patients in the GTEx-TCGA database, and LncRNA CASC19/UCA1/LINC01094/LINC02323 were confirmed in both pancreatic cell lines and FISH relative quantity. We provided a comprehensive aerial view between m6A-related lncRNAs and pancreatic cancer’s clinicopathological characteristics, and performed experiments to verify the robustness of the prognostic model.
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Affiliation(s)
- Bowen Huang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianzhou Liu
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Lu
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenyan Gao
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Zhou
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Tian
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yizhi Wang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mingjie Luo
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dong Liu
- Department of Mathematics, Jinan University, Guangzhou, China
| | - Congyong Xie
- Department of Mathematics, Jinan University, Guangzhou, China
| | - Ziyu Xun
- Department of Liver Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Chengxi Liu
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Wang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haibo Ma
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junchao Guo
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Tan XH, Kang M, Deng AP, Li BS, Luo M, Yi Y, Zhuang YL, Zhang YT, Song T. [Analysis on characteristics and influencing factors of COVID-19 confirmed cases with viral nucleic acid re-positive after discharge in Guangdong Province]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:49-55. [PMID: 35092991 DOI: 10.3760/cma.j.cn112150-20211108-01034] [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 analyze the epidemiological characteristics and influencing factors of COVID-19 confirmed cases with viral nucleic acid re-positive in anal and/or throat swabs after discharge during the domestic imported epidemic stage in Guangdong Province in early 2020. Methods: The COVID-19 confirmed cases with the onset time before March 1, 2020 in Guangdong Province were collected to analyze the demographic data, epidemiological characteristics, and specimen collection and testing data after discharge. Logistic regression model was used for influencing factors analysis of re-positive cases. Results: A total of 1 286 COVID-19 confirmed cases were included, the M(Q1,Q3) of age was 44(32,58)years, 617 cases were male, 224 cases were re-positive in anal and/or throat swabs with the re-positive rate 17.42%. The M(Q1,Q3) of age of re-positive cases was 35(23, 50) years, which was younger than that of re-negative cases age was those 46(33, 59) years (P<0.001). With the increase of age, re-positive rate decreased (χ2trend=52.73, P<0.001). 85.27% (191/224) of re-positive cases were found in 14 d after discharge, the duration time of re-positive status was 13(7, 24) d, and 81.69% (183/224) of re-positive cases were re-tested negative in 28 d after re-positive date. No fever and other symptoms had been observed among re-positive cases during the whole follow-up. No secondary infectious cases had been found among close contacts after 14 d of centralized isolation and sampling screening. Univariate logistic regression model analysis revealed that the influencing factors of the re-positive cases included age, occupation, clusters, clinical types, and admission time. Multivariate logistic regression model analysis revealed that age was an independent risk factor. Conclusions: SARS-CoV-2 viral nucleic acid re-positive is found in COVID-19 confirmed cases after discharge in Guangdong Province. Most re-positive cases are confirmed among 14 d after discharge and re-test to negative among 28 d after re-positive date. Age is an risk factor for re-positive cases after discharge.
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Affiliation(s)
- X H Tan
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - M Kang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - A P Deng
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - B S Li
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - M Luo
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Y Yi
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Y L Zhuang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Y T Zhang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - T Song
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
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Umar Q, Huang Y, Nazeer A, Yin H, Zhang JC, Luo M, Meng XG. Synthesis, characterization and anticancer activities of Zn 2+, Cu 2+, Co 2+ and Ni 2+ complexes involving chiral amino alcohols. RSC Adv 2022; 12:32119-32128. [DOI: 10.1039/d2ra05576g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 10/24/2022] [Indexed: 11/10/2022] Open
Abstract
A new type of coordination complexes related with the first transition metal and chiral amino alcohols can effectively fight against the human tumour cell line A549 with an IC50 value of 17.71 μM.
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Affiliation(s)
- Q. Umar
- Department of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 23000, P.R. China
| | - Y. Huang
- Department of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 23000, P.R. China
| | - A. Nazeer
- Department of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 23000, P.R. China
| | - H. Yin
- Department of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 23000, P.R. China
| | - J. C. Zhang
- Department of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 23000, P.R. China
| | - M. Luo
- Department of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 23000, P.R. China
| | - X. G. Meng
- College of Chemistry, Central China Normal University, Wuhan, 430079, P.R. China
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Manawasinghe IS, Calabon MS, Jones EBG, Zhang YX, Liao CF, Xiong YR, Chaiwan N, Kularathnage ND, Liu NG, Tang SM, Sysouphanthong P, Du TY, Luo M, Pasouvang P, Pem D, Phonemany M, Ishaq M, Chen JW, Karunarathna SC, Mai ZL, Rathnayaka AR, Samarakoon MC, Tennakoon DS, Wijesinghe SN, Yang YH, Zhao HJ, Fiaz M, Doilom M, Dutta AK, Khalid AN, Liu JW, Thongklang N, Senanayake IC, Tibpromma S, You LQ, Camporesi E, Gafforov YS, Hyde KD KD. Mycosphere notes 345–386. MYCOSPHERE 2022. [DOI: 10.5943/mycosphere/13/1/3] [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: 11/06/2022] Open
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30
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Sui YX, Jin L, Guo GD, Luo M, Qin XY, You LS, Chen LF. [Clinicopathological analysis of the SMARCA4-deficient non-small cell lung carcinoma]. Zhonghua Bing Li Xue Za Zhi 2021; 50:1366-1368. [PMID: 34865426 DOI: 10.3760/cma.j.cn112151-20210611-00433] [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)
- Y X Sui
- Shengli Clinical Medical College, Fujian Medical University/Department of Pharmacy,Fujian Provincal Hospital, Fuzhou 350001, China
| | - L Jin
- Shengli Clinical Medical College, Fujian Medical University/Department of Pathology, Fujian Provincal Hospital, Fuzhou 350001, China
| | - G D Guo
- Shengli Clinical Medical College, Fujian Medical University/Department of Pathology, Fujian Provincal Hospital, Fuzhou 350001, China
| | - M Luo
- Shengli Clinical Medical College, Fujian Medical University/Department of Radiology, Fujian Provincal Hospital, Fuzhou 350001, China
| | - X Y Qin
- Shengli Clinical Medical College, Fujian Medical University/Department of Pathology, Fujian Provincal Hospital, Fuzhou 350001, China
| | - L S You
- Shengli Clinical Medical College, Fujian Medical University/Department of Pathology, Fujian Provincal Hospital, Fuzhou 350001, China
| | - L F Chen
- Shengli Clinical Medical College, Fujian Medical University/Department of Pathology, Fujian Provincal Hospital, Fuzhou 350001, China
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Liu Y, Han R, Zhou L, Luo M, Zeng L, Zhao X, Ma Y, Zhou Z, Sun L. Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis. BMC Genomics 2021; 22:829. [PMID: 34789158 PMCID: PMC8600837 DOI: 10.1186/s12864-021-08150-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/03/2021] [Indexed: 01/19/2023] Open
Abstract
Background GenoLab M is a recently established next-generation sequencing platform from GeneMind Biosciences. Presently, Illumina sequencers are the globally leading sequencing platform in the next-generation sequencing market. Here, we present the first report to compare the transcriptome and LncRNA sequencing data of the GenoLab M sequencer to NovaSeq 6000 platform in various types of analysis. Results We tested 16 libraries in three species using various library kits from different companies. We compared the data quality, genes expression, alternatively spliced (AS) events, single nucleotide polymorphism (SNP), and insertions–deletions (InDel) between two sequencing platforms. The data suggested that platforms have comparable sensitivity and accuracy in terms of quantification of gene expression levels with technical compatibility. Conclusions Genolab M is a promising next-generation sequencing platform for transcriptomics and LncRNA studies with high performance at low costs. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-08150-8.
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Affiliation(s)
- Yongfeng Liu
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Ran Han
- Beijing Guoke Biotechnology Co., LTD, Beijing, China
| | - Letian Zhou
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Mingjie Luo
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Lidong Zeng
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Xiaochao Zhao
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Yukun Ma
- Beijing Guoke Biotechnology Co., LTD, Beijing, China
| | - Zhiliang Zhou
- GeneMind Biosciences Company Limited, ShenZhen, China
| | - Lei Sun
- GeneMind Biosciences Company Limited, ShenZhen, China.
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Liu X, Luo M, Pei Y, Bao B, Cai Q, Liang B, Bartels D, Perez-Garcia C, Engelhardt J. 663: LUNAR efficiently delivers mRNA into ferret airway epithelial cells in vitro and in vivo. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02086-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Liu X, Luo M, Hallée S, Cai Q, Liang B, Bartels D, Guay D, Engelhardt J. 666: Genome editing in ferret airway epithelia mediated by CRISPR/nucleases delivered with amphiphilic peptide shuttles. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02089-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Chen W, Yang L, Xu W, Liang Z, Ma L, Qu Y, Zhang J, Zha J, Xu L, Zhao C, Zhang F, Luo M, Li S, Xu Z, Kong F. IDO Immune Status After Radiotherapy in Patients With IV Stage Non-Small Cell Lung Cancer: An Exploratory Study. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Cai Q, Luo M, Yuan F, Gasser G, Liu X, Engelhardt J. 596: Wnt/b-catenin and sonic hedgehog signaling affect airway basal cell specification of cell types that contribute to CFTR-mediated anion transport. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02019-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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36
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Wang L, Zhao L, Zhang L, Jing X, Zhang Y, Shao S, Zhao X, Luo M. [Vascular endothelial growth factor promotes cancer stemness of triple-negative breast cancer via MAPK/ERK pathway]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1484-1491. [PMID: 34755663 DOI: 10.12122/j.issn.1673-4254.2021.10.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the role of vascular endothelial growth factor (VEGF) in regulating triple-negative breast cancer (TNBC) stem cells and the possible pathways involved in this regulatory mechanism. METHODS The Oncomine database, UALCAN database and Human Protein Atlas (HPA) database were used to analyze the expression of VEGF in breast cancer and its association with the molecular subtypes and prognosis of breast cancer. Sphere formation assay was carried out to examine the effects of hVEGF165 on sphere formation ability of TNBC MDA-MB-231 cell line; Western blotting and RT-qPCR were performed to detect the expression of the tumor stem cell markers including CD44, c-Myc, Nanog, and ALDH1 and the activation of the related pathways. RESULTS Data from the online databases all showed a significant increase of VEGF expression in breast cancer tissues than in the adjacent tissues (P < 0.0001), and its expression level was associated with the molecular subtypes of breast cancer. Specifically, the expression of VEGF was markedly higher in TNBC than in other subtypes of breast cancer. Survival analysis showed that breast cancer patients with a high VEGF expression had a significantly shortened overall survival (P < 0.0001). In the cell experiments, the sphere formation ability of MDA-MB-231 cells was significantly enhanced after treatment with hVEGF165 (P=0.0029). Compared with the monolayer cells, MDA-MB-231 spheres showed significantly increased expressions of VEGF, NRP-1, CD44, Nanog and c-Myc. Treatment with hVEGF165 resulted in significant time-dependent up-regulation of the expressions of CD44, c-Myc, Nanog and ALDH1 and down-regulation of CD24 expression in the cells. The results of Western blotting demonstrated that treatment with hVEGF165 caused significant activation of the ERK/MAPK pathway in MDA-MB-231 cells. CONCLUSION VEGF promotes cancer stemness of triple-negative breast cancer possibly through the ERK/MAPK pathway.
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Affiliation(s)
- L Wang
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - L Zhao
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - L Zhang
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - X Jing
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - Y Zhang
- Department of Respiratory, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - S Shao
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - X Zhao
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - M Luo
- Department of Hematology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
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Zhang S, Xie X, He C, Lin X, Luo M, Lin M, Fang M, You Z, Lin K, Guo Y. Evaluation of different late left ventricular remodeling definitions for predicting long-term outcomes in acute myocardial infarction patients undergoing percutaneous coronary intervention. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Late left ventricular remodeling (LLVR) after the index acute myocardial infarction (AMI) is a common complication, and is associated with poor outcome. However, the optimal definition of LLVR has been debated because of its different incidence and influence on prognosis. At present, there are limited data regarding the influence of different LLVR definitions on long-term outcomes in AMI patients undergoing percutaneous coronary intervention (PCI).
Purpose
To explore the impact of different definitions of LLVR on long-term mortality, re-hospitalization or an urgent visit for heart failure, and identify which definition was more suitable for predicting long-term outcomes in AMI patients undergoing PCI.
Methods
We prospectively observed 460 consenting first-time AMI patients undergoing PCI from January 2012 to December 2018. LLVR was defined as a ≥20% increase in left ventricular end-diastolic volume (LVEDV), or a >15% increase in left ventricular end-systolic volume (LVESV) from the initial presentation to the 3–12 months follow-up, or left ventricular ejection fraction (LVEF) <50% at follow up. These parameters of the cardiac structure and function were measuring through the thoracic echocardiography. The association of LLVR with long-term prognosis was investigated by Cox regression analysis.
Results
The incidence rate of LLVR was 38.1% (n=171). The occurrence of LLVR according to LVESV, LVEDV and LVEF definition were 26.6% (n=117), 31.9% (n=142) and 11.5% (n=51), respectively. During a median follow-up of 2 years, after adjusting other potential risk factors, multivariable Cox regression analysis revealed LLVR of LVESV definition [hazard ratio (HR): 2.50, 95% confidence interval (CI): 1.19–5.22, P=0.015], LLVR of LVEF definition (HR: 16.46, 95% CI: 6.96–38.92, P<0.001) and LLVR of Mix definition (HR: 5.86, 95% CI: 2.45–14.04, P<0.001) were risk factors for long-term mortality, re-hospitalization or an urgent visit for heart failure. But only LLVR of LVEF definition was a risk predictor for long-term mortality (HR: 6.84, 95% CI: 1.98–23.65, P=0.002).
Conclusions
LLVR defined by LVESV or LVEF may be more suitable for predicting long-term mortality, re-hospitalization or an urgent visit for heart failure in AMI patients undergoing PCI. However, only LLVR defined by LVEF could be used for predicting long-term mortality.
Funding Acknowledgement
Type of funding sources: None. Association Between LLVR and outcomesKaplan-Meier Estimates of the Mortality
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Affiliation(s)
- S Zhang
- Fujian Medical University, Fuzhou, China
| | - X Xie
- Fujian Medical University, Fuzhou, China
| | - C He
- Fujian Medical University, Fuzhou, China
| | - X Lin
- Fujian Medical University, Fuzhou, China
| | - M Luo
- Fujian Medical University, Fuzhou, China
| | - M Lin
- Fujian Medical University, Fuzhou, China
| | - M Fang
- Fujian Provincial Hospital, Department of Cardiology, Fuzhou, China
| | - Z You
- Fujian Provincial Hospital, Department of Cardiology, Fuzhou, China
| | - K Lin
- Fujian Provincial Hospital, Department of Cardiology, Fuzhou, China
| | - Y Guo
- Fujian Provincial Hospital, Department of Cardiology, Fuzhou, China
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He H, Lin X, Luo M, He C, Zhang S, Lin M, Lin K, Guo Y. Predictive value of neutrophil percentage-to-albumin ratio for contrast-associated acute kidney injury in patients without chronic kidney disease undergoing elective percutaneous coronary intervention. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1112] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Although previous studies have demonstrated that neutrophil and albumin are biomarkers of inflammation and malnutrition, which are highly related with contrast-associated acute kidney injury (CA-AKI). However, there has been no study investigated the combined evaluation of neutrophil and albumin in predicting CA-AKI.
Purpose
To explore the predictive value of neutrophil percentage-to-albumin ratio (NPAR) for CA-AKI in patients undergoing elective percutaneous coronary intervention (PCI).
Methods
We prospectively observed 5083 consenting patients without chronic kidney disease (CKD) undergoing elective PCI from January 2012 to December 2018. NPAR was calculated as neutrophil percentage numerator divided by serum albumin concentration. CA-AKI was defined as an increase in serum creatinine (SCr) ≥50% or 0.3 mg/dL within 48 hours after contrast medium exposure. The association between NPAR and CA-AKI was investigated by logistic regression analysis. The area under the receiver-operating characteristic curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated to make comparison for CA-AKI prediction.
Result
The incidence of CA-AKI was 5.6% (n=286). The median NPAR was 14.9 (13.0–17.1). According to the receiver operating characteristic curves (ROC), the best cut-off value of NPAR for predicting CA-AKI was 15.7 with 66.8% sensitivity and 61.9% specificity (C statistic=0.679; 95% CI, 0.666–0.691). NPAR displayed higher AUC value in comparison to neutrophil percentage (p<0.001), but not albumin (P=0.063), as a predictor of CA-AKI. However, NPAR significantly improved the prediction of CA-AKI in the continuous NRI and IDI over neutrophil percentage (NRI: 0.353, 95% CI: 0.234–0.472, P<0.001; IDI: 0.017, 95% CI: 0.010–0.024, p<0.001) and albumin (NRI: 0.141, 95% CI: 0.022–0.260, P=0.020; IDI: 0.009, 95% CI: 0.003–0.015, p=0.003) alone. After adjusting for potential confounding risk factors of CA-AKI, multivariable logistic analysis showed that NPAR >15.7 was a strong independent predictor of CA-AKI (OR=1.998, 95% CI, 1.511–2.643, p<0.001).
Conclusion
NPAR is an independent predictor of CA-AKI, which significantly improved the prediction of CA-AKI over neutrophil and albumin alone in patients without CKD undergoing elective PCI.
Funding Acknowledgement
Type of funding sources: None. ROC for NPAR to predict CA-AKIPredictors of CA-AKI
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Affiliation(s)
- H He
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - X Lin
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - M Luo
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - C He
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - S Zhang
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - M Lin
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - K Lin
- Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - Y Guo
- Fujian Provincial Hospital, Cardiology, Fuzhou, China
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He H, Rao J, Lin M, He C, Zhang S, Luo M, Lin K, Guo Y. The De-Ritis ratio is associated with contrast-associated acute kidney injury in patients undergoing elective percutaneous coronary intervention. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Preoperative liver dysfunction has been demonstrated as a poor prognostic factor after major surgery. Recent researches discovered that an increased De-Ritis ratio (aspartate aminotransferase-to-alanine aminotransferase ratio) reflects the liver dysfunction and was associated with adverse cardiovascular and renal outcomes. However, there is a lack of data exploring the predictive value of the De-Ritis ratio on contrast-associated acute kidney injury (CA-AKI) in patients undergoing elective percutaneous coronary intervention (PCI).
Purpose
To evaluate the predictive value of the De-Ritis ratio for CA-AKI in patients undergoing elective PCI.
Methods
We conducted a prospective, observational study with 5780 consenting patients undergoing elective PCI from January 2012 to December 2018. CA-AKI was defined as an increase in serum creatinine (SCr) ≥50% or 0.3 mg/dL within 48 hours after contrast medium exposure. The relationship between the De-Ritis ratio and CA-AKI was investigated by logistic regression analysis. The predictive utility of the De-Ritis ratio was determined and compared using the area under the receiver-operating characteristic curve (AUC).
Result
CA-AKI developed in 363 (6.3%) patients. The median De-Ritis ratio was 1.00 (0.77–1.33). The De-Ritis ratio showed an AUC of 0.636 (95% confidence interval (CI): 0.624–0.649; P<0.001) in predicting CA-AKI, which was significantly greater than aspartate aminotransferase (AST) (AUC: 0.636 vs 0.589, p=0.015) and alanine aminotransferase (ALT) (AUC: 0.636 vs 0.506, p<0.001). The best cut-off value of the De-Ritis ratio for predicting CA-AKI was 1.30 with 47.1% sensitivity and 74.7% specificity. Multivariable logistic analysis showed that the De-Ritis ratio >1.30 was a remarkable independent predictor of CA-AKI (OR=1.757, 95% CI, 1.385–2.229, p<0.001) even after adjusting for other CA-AKI risk factors.
Conclusion
The De-Ritis ratio is an independent risk factor for predicting CA-AKI in patients undergoing elective PCI.
Funding Acknowledgement
Type of funding sources: None. ROC for De-Ritis ratio to predict CA-AKIPredictors of CA-AKI
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Affiliation(s)
- H He
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - J Rao
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - M Lin
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - C He
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - S Zhang
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - M Luo
- Fujian Medical University,Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - K Lin
- Fujian Provincial Hospital, Cardiology, Fuzhou, China
| | - Y Guo
- Fujian Provincial Hospital, Cardiology, Fuzhou, China
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Lin Y, Zhang J, Liao X, Zhang Y, Luo M, Li Q, Xie M, Liang C, Liao S, Zheng Y, Hu X, Huang M, Liang R, Li Y. 449P Homologous recombination repair gene mutations predict the efficacy of immune checkpoint inhibitors therapy in colorectal cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Byerley L, Ondrak K, Gallivan K, Luo M, Taylor C. The Effect of Protein Supplementation on the Gut Microbiome of Muscle Builders. J Acad Nutr Diet 2021. [DOI: 10.1016/j.jand.2021.06.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Luo M, Gong C, Luo Q, Li AH, Wang X, Li MZ, Xie H, Wang YT, Zhang HR, Huang F. [Epidemiological characteristics of Chlamydia pneumoniae in cases with acute respiratory infection in Beijing, 2015-2019]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1466-1474. [PMID: 34814569 DOI: 10.3760/cma.j.cn112338-20210522-00421] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To analyze the epidemiological characteristics of Chlamydia pneumoniae infection among patients with acute respiratory infection in Beijing from 2015 to 2019. Methods: The epidemiological data of acute respiratory infection patients from 35 sentinel hospitals in Beijing were collected by the respiratory pathogen surveillance system in Beijing. The clinical samples were collected to detect Chlamydia pneumoniae, and the sequence of the VD4 region of the ompA gene in positive samples was analyzed. Results: From January 2015 to December 2019, the overall positive rate of Chlamydia pneumoniae among patients with acute respiratory infection in Beijing was 0.34% (129/37 460). The positive rate of Chlamydia pneumoniae generally increased in March, reaching the peak in May, and started to drop in July, with a duration of about 5-8 months. The epidemic season in different years fluctuated by 1-2 months. The positive monthly rate of Chlamydia pneumoniae was no less than 0.30% in every epidemic season. The positive rate of Chlamydia pneumoniae was the highest in the 5-44 years old group and the highest in 10-14 year-olds. The risk of Chlamydia pneumoniae infection increased with age in patients younger than 25 years old and decreased in those older one aged than 25 years of age. The positive rates in male and female patients were 0.33% (68/20 830) and 0.37% (61/16 528), respectively, and there was no significant difference between the two groups (χ2=0.486, P=0.486). The positive rate of Chlamydia pneumoniae in patients with common pneumonia was higher than that in patients with upper pneumonia and severe pneumonia (χ2=36.797, P<0.01). Other respiratory pathogens were also detected in the Chlamydia pneumoniae samples, and the top four pathogens appeared as Haemophilus influenzae (15 cases), Streptococcus pneumoniae (13 cases), Rhinovirus (8 cases), and Stenotrophomonas maltophilia (7 cases). 101 strains of 129 Chlamydia pneumoniae positive samples were identified as type A by sequencing. Conclusions: The annual epidemic pattern of Chlamydia pneumoniae in Beijing, is unimodal, and the epidemic season generally appears from March to July. The seasonal characteristics of Chlamydia pneumoniae in Beijing can be used for the differential diagnosis of Chlamydia pneumoniae from other respiratory pathogens. Chlamydia pneumoniae is most common in people aged 5-44 years, and the primary genotype is type A. People aged 10-44 years old suffer the highest incidence. If the nucleic acid positive rate of Chlamydia pneumoniae exceeds 0.30% for two consecutive months, the high prevalence period of Chlamydia pneumoniae can be preliminarily expected. Chlamydia pneumoniae infection has a higher probability of progressing to severe pneumonia from general pneumonia.
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Affiliation(s)
- M Luo
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - C Gong
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - Q Luo
- School of Public Health,Capital Medical University, Beijing 100069, China
| | - A H Li
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - X Wang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - M Z Li
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - H Xie
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - Y T Wang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - H R Zhang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - F Huang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
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Luo M, Wang X, Li AH, Luo Q, Xie H, Li MZ, Wang YT, Dong M, Zhang HR, Gong C. [Clinical characteristics of patients infected with Chlamydia pneumoniae in Beijing from 2015 to 2019]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:938-944. [PMID: 34404200 DOI: 10.3760/cma.j.cn112150-20210524-00500] [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 aralyze the clinical characteristics of Chlamydia pneumoniae infection in Beijing. Methods: Based on Beijing Respiratory Pathogen Surveillance System, acute respiratory infection patients were recruited from 35 different types of sentinel hospitals in Beijing. Their epidemiological and clinical data were systematically collected and clinical specimens were also obtained. Nuclear acid testing was performed for 30 types of respiratory pathogens (including Chlamydia pneumoniae). The identified patients of Chlamydia pneumoniae infection were divided into two groups, the acute upper respiratory tract infection (AURI) group and pneumoniae group. The differences in clinical characteristics, laboratory examination and prognosis were compared by using independent sample t test, Mann-Whitney U test, χ2 test or Fisher's exact probability test. Results: A total of 119 patients of Chlamydia pneumoniae infection were included, including 12 patients in the AURI group and 107 patients in pneumoniae group. Chlamydia pneumoniae infection mainly occurred in people aged from 5 to 44 years, accounting for 81.5% (97/119). The three most common clinical symptoms were cough (92.4%, 110/119), fever (88.8%, 95/107), and sputum production (76.5%, 91/119). White blood cell counts increased in 39.3% (46/117) of patients. Neutrophile granulocyte proportion increased in 39.7% (46/116) of patients. Platelet count increased in 36.9% (41/111) of patients. An increase of the creatine kinase MB isoenzyme (CKMB) was observed in 12 pneumonia patients (24.5%, 12/49). Radiological examination showed that 90.6% (87/105) of patients in the pneumoniae group had pulmonary parenchymal changes; the lesion occurred most commonly in the lower right lung lobe (34.3%, 36/105) and the lower left lung lobe (27.6%, 29/105). Although 73.8% (79/107) of patients in the pneumoniae group were hospitalized, no case received intensive care unit or mechanical ventilation. As to outcomes, one patient developed respiratory failure and 6 patients suffered myocardial injury. No death was observed in this study. The median days of hospitalization and course of illness for pneumonia patients M(P25,P75) were 10.0 (7.0, 13.0) days and 18.0 (13.5, 22.0) days, respectively. Conclusion: Generally, Chlamydia pneumoniae infections in Beijing from 2015 to 2019 were mild, and the main clinical manifestations were cough, fever and sputum. However, most patients in the pneumoniae group caused by Chlamydia pneumoniae still required hospitalization but with a better outcome.
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Affiliation(s)
- M Luo
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - X Wang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - A H Li
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - Q Luo
- School of Public Health of Capital Medical University,Beijing 100069,China
| | - H Xie
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - M Z Li
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - Y T Wang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - M Dong
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - H R Zhang
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
| | - C Gong
- Department of Immunization, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine,Beijing 100013, China
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Wei C, Hu S, Luo M, Chen C, Wang W, Zhang W, Zhou D. A Novel Mechanism of Action of Histone Deacetylase Inhibitor Chidamide: Enhancing the Chemotaxis Function of Circulating PD-1(+) Cells From Patients With PTCL. Front Oncol 2021; 11:682436. [PMID: 34141623 PMCID: PMC8204089 DOI: 10.3389/fonc.2021.682436] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/06/2021] [Indexed: 01/09/2023] Open
Abstract
Background Peripheral T‐cell lymphomas (PTCLs) are a heterogeneous group of neoplasms characterized by a poor prognosis. Histone deacetylase (HDAC) inhibitors have emerged as novel therapeutic agents for PTCLs. In this study, we aimed to explore the immunomodulatory effect of the HDAC inhibitor chidamide on circulating PD-1(+) cells from patients with PTCL, as well as its correlation with treatment response. Methods We enrolled newly diagnosed patients with PTCLs treated with a combination of chidamide and chemotherapy. Gene expression profile analysis was performed on peripheral blood PD-1(+) cells, both at baseline and at the end of treatment. A list of differentially expressed genes (DEGs) was identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate the biological implications of the DEGs. A gene concept network was constructed to identify the key DEGs for further PCR verification. Results A total of 302 DEGs were identified in the complete remission (CR) group, including 162 upregulated and 140 downregulated genes. In contrast, only 12 DEGs were identified in the non-CR group. GO analysis revealed that these upregulated DEGs were mainly involved in chemokine activity, cell chemotaxis, and cellular response to interleukin-1 and interferon-γ. Furthermore, KEGG pathway analysis showed that these DEGs were enriched in cytokine-cytokine receptor interaction and chemokine signaling pathways. The innate immune signaling pathways, including the Toll-like and NOD-like receptor signaling pathways, were also influenced. The gene concept network revealed that the key upregulated genes belonged to the C-C chemokine family. Conclusion Our results showed that chidamide treatment notably enhanced the expression of genes associated with chemokine activity and chemotaxis function of circulating PD-1(+) cells. By recruiting immune cells and improving the innate immune function of PD-1(+) cells, chidamide may reshape the tumor microenvironment to an anti-tumor phenotype and synergize with checkpoint inhibitors.
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Affiliation(s)
- Chong Wei
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shaoxuan Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Mingjie Luo
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Chong Chen
- Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Wei Wang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Wei Zhang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Daobin Zhou
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Ohshima S, Zhang P, Kume H, Deng C, Miyashita A, Kobayashi S, Okada H, Minami T, Kado S, Adulsiriswad P, Qiu D, Luo M, Matoike R, Suzuki T, Konoshima S, Mizuuchi T, Nagasaki K. Development of a multi-channel 320 GHz interferometer for high density plasma measurement in Heliotron J. Rev Sci Instrum 2021; 92:053519. [PMID: 34243360 DOI: 10.1063/5.0043581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 04/12/2021] [Indexed: 06/13/2023]
Abstract
We report the development of a new interferometer with two stable, high-power, 320 GHz solid-state sources in Heliotron J. A heterodyne Michelson interferometer optical scheme is employed. Two solid-state oscillators are utilized as sources with a fixed frequency at 320 GHz and frequency tunable of 312-324 GHz. Quasi-optical techniques are used for beam transmission. The beam is elongated in the vertical direction with two off-axis parabolic mirrors and injected into the plasma as a sheet beam for the multi-channel measurement (>5 ch.). Passing through the plasma, the beam is reflected at a retroreflector-array installed at the vacuum chamber wall. The retroreflector-array is a bunch of retroreflector structures, which can suppress the beam refraction caused by plasma without much space inside a vacuum chamber unlike a single retroreflector and can facilitate the system design. The source, detectors, and the retroreflector-array are tested to evaluate their basic performance on a tabletop experiment.
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Affiliation(s)
- S Ohshima
- Institute of Advanced Energy, Kyoto University, Kyoto 611-0011, Japan
| | - P Zhang
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - H Kume
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - C Deng
- University of California, Los Angeles, Los Angeles, California 90095-1594, USA
| | - A Miyashita
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - S Kobayashi
- Institute of Advanced Energy, Kyoto University, Kyoto 611-0011, Japan
| | - H Okada
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - T Minami
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - S Kado
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - P Adulsiriswad
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - D Qiu
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - M Luo
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - R Matoike
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - T Suzuki
- Graduate School of Energy Science, Kyoto University, Kyoto 611-0011, Japan
| | - S Konoshima
- Institute of Advanced Energy, Kyoto University, Kyoto 611-0011, Japan
| | - T Mizuuchi
- Institute of Advanced Energy, Kyoto University, Kyoto 611-0011, Japan
| | - K Nagasaki
- Institute of Advanced Energy, Kyoto University, Kyoto 611-0011, Japan
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Luo M, Jiang YL, Yao FX, Tian QJ. [Pilot study of genetic counseling and prenatal diagnosis in androgen insensitivity syndrome: with 3 families reports]. Zhonghua Fu Chan Ke Za Zhi 2021; 56:251-256. [PMID: 33902236 DOI: 10.3760/cma.j.cn112141-20200817-00644] [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 explore genetic counseling and prenatal diagnosis strategies for women who have androgen insensitivity syndrome (AIS) family history or pregnancy history of AIS proband. Methods: Three families of complete AIS (CAIS) were retrospectively reported and summarized. The subsequent pregnancies and processes of prenatal diagnosis were followed up. Results: Among three CAIS families, one family had androgen receptors (AR) gene mutation diagnosis; the other two families were diagnosed clinically without gene diagnosis. All three mothers of CAIS probands were in pregnant again when they sought counseling, with gestational weeks between 7-13 weeks. They underwent chorionic villi sampling or amniocentesis in their second trimester (at 12, 16, 17 weeks respectively). Chromosome gender of all three fetuses were 46,XY, which was inconsistent with the ultrasonographic phenotype of external genitalia. All patients chose selective abortion in their second trimester. The external genitalia of all aborted fetuses were female phenotype, which supported the diagnosis of CAIS. Conclusion: Genetic counseling and prenatal diagnosis should be provided to high-risk patients with family history of AIS or proband pregnancy history, so as to achieve the goal of good childbearing and sound childrearing.
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Affiliation(s)
- M Luo
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - Y L Jiang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - F X Yao
- Medical Research Center, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Q J Tian
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
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Wei LN, Luo M, Wang XP, Liang T, Huang CJ, Chen H. PADI4, negatively regulated by miR-335-5p, participates in regulating the proliferation, migration, invasion and radiosensitivity of nasopharyngeal carcinoma cells. J BIOL REG HOMEOS AG 2021; 35:117-129. [PMID: 33593046 DOI: 10.23812/20-620-a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Peptidyl arginine deiminase 4 (PADI4), an enzyme that converts arginine residues to citrulline residues in the presence of calcium ions, affects the biochemical activities of proteins. The biological function of PADI4 as well as its mechanism in nasopharyngeal carcinoma (NPC) necessitates further investigation. PADI4 expression in NPC tissues and cells was detected using Western blot. qRT-PCR was used to determine the expression of miR-335-5p and PADI4 mRNA in NPC tissues and cells. BrdU assay and CCK-8 assay were employed to detect cell proliferation. Cell migration and invasion were evaluated using Transwell assay. NPC cells were exposed to different doses of radiation in vitro, and then colony formation assays were used to detect colony survival. The target relationship between miR-335-5p and PADI4 was verified using Western blot, qRT-PCR, and dual-luciferase reporter gene assays. Compared with normal mucosal epithelial tissues and cell lines, the expression level of PADI4 in NPC tissues and cells was significantly up-regulated. PADI4 overexpression promoted the proliferation, migration, and invasion of NPC cells. Under radiation, NPC cell survival was significantly promoted by the up-regulation of PADI4. Conversely, knock-down of PADI4 suppressed the above-mentioned malignant phenotypes. MiR-335-5p could bind with the 3' UTR of PADI4 mRNA, and suppressed the expression of PADI4. PADI4 down-regulated the expression of p21 and activated the mTOR signaling pathway. PADI4, which is negatively regulated by miR-335-5p, promotes the proliferation, migration, invasion and radioresistance of NPC cells by regulating the p21 and mTOR signaling pathways.
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Affiliation(s)
- L N Wei
- Department of Endoscopy, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning Guangxi, China
| | - M Luo
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - X P Wang
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - T Liang
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - C J Huang
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - H Chen
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
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Pang D, Chen W, Zhang J, Yang L, Shao G, Liuru T, Xu L, Xu W, Zhao C, Luo M, Ma L, Zhang F, Liang Z, Li S, Kong F. P07.08 IDO Immune Suppression and Post Surgical Toxicity in Patients with Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Zhai TS, Hu LT, Ma WG, Chen X, Luo M, Jin L, Zhou Z, Liu X, Kang Y, Kang YX, Zhang JX, Liu H, Lu JY, Yao XD, Ye L. Peri-prostatic adipose tissue measurements using MRI predict prostate cancer aggressiveness in men undergoing radical prostatectomy. J Endocrinol Invest 2021; 44:287-296. [PMID: 32474764 DOI: 10.1007/s40618-020-01294-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 05/07/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVES To evaluate the effect of peri-prostatic adipose tissue (PPAT) measurements using preoperative MRI on the prediction of prostate cancer (PCa) aggressiveness in men undergoing radical prostatectomy (RP). METHODS We performed a retrospective study on 179 consecutive patients receiving RP from June 2016 to October 2018. Clinical characteristics were collected. PPAT measurements including peri-prostatic fat area (PPFA) and peri-prostatic fat area to prostate area (PA) ratio (PPFA/PA) were calculated by MRI. Multivariable logistic regression analysis was performed to identify independent predictors of PCa lymph node metastasis (LNM). The predictive performance was estimated through ROC curves. Nomograms were created based on the predictors. RESULTS Pathologic Gleason score positively correlated with digital rectal examination (DRE), PSA, PPFA/PA, P504S, and Ki-67 (all P < 0.05). ROC curves revealed that high PPFA and high PPFA/PA were associated with LNM (both P < 0.05). Multivariate analysis revealed that high PPFA/PA, pathologic Gleason score, pT stage, and Ki-67 were independently predictive of LNM. The nomograms were created and the C-index was 0.945. CONCLUSIONS PPFA/PA is an independent predictor for LNM along with Gleason score, pT stage, and Ki-67. PPFA/PA may help predict LNM in men undergoing RP, thus providing adjunctive information for therapeutic strategy and prognosis.
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Affiliation(s)
- T -S Zhai
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
| | - L -T Hu
- Department of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China
| | - W -G Ma
- Department of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China
- Department of Urology, Tongxin People's Hospital, Tongxin, 751300, Ningxia, China
| | - X Chen
- Department of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China
| | - M Luo
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
| | - L Jin
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
| | - Z Zhou
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
- Department of Urology, First Clinical Medical College, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - X Liu
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
- Department of Urology, Shanghai Putuo District People's Hospital, Tongji University School of Medicine, Shanghai, 200060, China
| | - Y Kang
- The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - Y -X Kang
- The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - J -X Zhang
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
| | - H Liu
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China
| | - J -Y Lu
- Department of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China.
| | - X -D Yao
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
| | - L Ye
- Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
- Department of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China.
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