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Gong J, Ding G, Hao Z, Li Y, Deng A, Zhang C. Elucidating the mechanism of corneal epithelial cell repair: unraveling the impact of growth factors. Front Med (Lausanne) 2024; 11:1384500. [PMID: 38638937 PMCID: PMC11024251 DOI: 10.3389/fmed.2024.1384500] [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: 02/09/2024] [Accepted: 03/21/2024] [Indexed: 04/20/2024] Open
Abstract
The repair mechanism for corneal epithelial cell injuries encompasses migration, proliferation, and differentiation of corneal epithelial cells, and extracellular matrix remodeling of the stromal structural integrity. Furthermore, it involves the consequential impact of corneal limbal stem cells (LSCs). In recent years, as our comprehension of the mediating mechanisms underlying corneal epithelial injury repair has advanced, it has become increasingly apparent that growth factors play a pivotal role in this intricate process. These growth factors actively contribute to the restoration of corneal epithelial injuries by orchestrating responses and facilitating specific interactions at targeted sites. This article systematically summarizes the role of growth factors in corneal epithelial cell injury repair by searching relevant literature in recent years, and explores the limitations of current literature search, providing a certain scientific basis for subsequent basic research and clinical applications.
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Affiliation(s)
- Jinjin Gong
- School of Clinical Medicine, Shandong Second Medical University, Weifang, China
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Gang Ding
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Zhongkai Hao
- School of Clinical Medicine, Shandong Second Medical University, Weifang, China
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Yuchun Li
- Wuxi No. 2 Chinese Medicine Hospital, Wuxi, China
| | - Aijun Deng
- School of Clinical Medicine, Shandong Second Medical University, Weifang, China
| | - Chenming Zhang
- School of Clinical Medicine, Shandong Second Medical University, Weifang, China
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
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Ding G, Gao X, Tan Y, Hao Z, Wang X, Zhang C, Deng A. Local application of silver nitrate as an adjuvant treatment before deep lamellar keratoplasty for fungal keratitis poorly responsive to medical treatment. Front Med (Lausanne) 2024; 10:1292701. [PMID: 38317754 PMCID: PMC10838974 DOI: 10.3389/fmed.2023.1292701] [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: 09/12/2023] [Accepted: 12/11/2023] [Indexed: 02/07/2024] Open
Abstract
Objective The purpose of this study is to evaluate the efficacy and safety of the local application of silver nitrate (LASN) as an adjuvant treatment before deep lamellar keratoplasty (DLKP) for fungal keratitis responding poorly to medical treatment. Methods A total of 12 patients (12 eyes) with fungal keratitis responding poorly to medical treatment (for at least 2 weeks) were included. LASN was performed using 2% silver nitrate, the ulcer was cleaned and debrided, and then, the silver nitrate cotton stick was applied to the surface of the ulcer for a few seconds. The effect of LASN was recorded. The number of hyphae before and after treatment was determined by confocal microscope. After the condition of the ulcer improved, DLKP was performed. Fungal recurrence, best-corrected visual acuity (BCVA), loose sutures, and endothelial cell density (ECD) were recorded in detail. Results Clinical resolution of corneal infiltration and edema was observed, and the ulcer boundary became clear in all 12 patients after 7-9 days of LASN. Confocal microscopy showed that the number of hyphae was significantly reduced. Ocular pain peaked on days 1 and 2 after treatment, and 9 patients (75%, day 1) and 1 patient (8.3%, day 2) required oral pain medication. During the follow-up period after DLKP, no fungal recurrence and loose sutures were observed. After the operation, the BCVA of all patients improved. The mean corneal ECD was 2,166.83 ± 119.75 cells/mm2. Conclusion The LASN was safe and effective and can be well tolerated by patients. Eye pain can be relieved quickly. LASN as an adjuvant treatment before DLKP might be a promising therapeutic strategy.
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Affiliation(s)
- Gang Ding
- Department of Ophthalmology, The Jinan Second People's Hospital, Jinan, China
| | - Xin Gao
- Department of Ophthalmology, The Jinan Second People's Hospital, Jinan, China
| | - Yue Tan
- Department of Ophthalmology, The Jinan Second People's Hospital, Jinan, China
| | - Zhongkai Hao
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Ximing Wang
- Department of Ophthalmology, The Jinan Second People's Hospital, Jinan, China
| | - Chenming Zhang
- Department of Ophthalmology, The Jinan Second People's Hospital, Jinan, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang, China
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Chen S, Zhang J, Tian J, Zhao C, Liu C, Sun X, Gao X, Zhang Y, Wang J, Li N, Liu H, Gao Y, Ma X, Li J, Deng A, Wang T, Yuan G. A Multicenter Prospective Randomized Controlled Study of a New Corneal Wetting Agent During Ophthalmologic Surgery. Ophthalmol Ther 2023; 12:3211-3218. [PMID: 37768528 PMCID: PMC10640533 DOI: 10.1007/s40123-023-00818-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
INTRODUCTION A multicenter prospective randomized controlled study was used to investigate the effect and safety of a new corneal wetting agent called the Corneal Surface Viscoelastic Protector (CsVisc, Success Bio-Tech Co., Ltd, China), on the corneal epithelium during ophthalmic surgery by comparison with the commercially available Cornea Protect (CP, Valeant Med Sp. zo. o. Leobendorf, Austria). METHODS This multicenter prospective randomized controlled study comprised patients scheduled for cataract surgery and pars plana vitrectomy. The patients were randomly assigned to receive either a new corneal wetting agent (CsVisc) or Cornea Protect (CP, Valeant Med Sp. zo. o. Leobendorf, Austria). Optical clarity during surgery, application frequency, duration of effect, diffusion time of corneal wetting agents, fluorescein staining, intraocular pressure (IOP), tear-film break-up time (TBUT), and Schirmer I test (SIT) were assessed. Adverse events were noted on the designated patient case report forms. RESULTS A total of 149 eyes (149 patients, mean age 62 years; range 25-80 years) were included in the study. There were 74 eyes in the control group and 75 eyes in the study group. In patients who underwent vitrectomy, the frequency of application was 1.62 ± 1.03 in the study group and 1.39 ± 0.66 in the control group, with no significant difference (P = 0.399), and the duration of effect was 19.16 ± 6.94 min in the study group and 19.06 ± 7.22 min in the control group, with no significant difference (P = 0.835). The optical clarity of the study group was not significantly different from that of the control group (P = 0.485). In patients who underwent cataract surgery, the frequency of application was 1.10 ± 0.38 in the study group and 1.07 ± 0.26 in the control group, and the difference was not significant (P = 0.950). The difference between the duration of effect in the study group (8.32 ± 2.50 min) and the control group (7.63 ± 2.52 min) was not significant (P = 0.310). The difference in optical clarity scores between the two groups was not statistically significant (P = 0.600). Among all patients in this study, the diffusion time of the corneal wetting agent was 14.97 ± 10.07 s in the control group and 11.23 ± 8.41 s in the study group, with a statistically significant difference (p = 0.008). The frequency of adverse events was 20.00% (15/75) in the study group and 14.86% (11/74) in the control group, with no statistically significant difference (P = 0.409). There were no serious adverse events related to the test medical device or causing patients to withdraw from the study. CONCLUSIONS The CsVisc is safe and effective in preventing intraoperative corneal epithelial damage due to corneal dryness and can be comparable to the CP. In addition, the CsVisc has a shorter diffusion time.
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Affiliation(s)
- Shijiu Chen
- Qingdao University, Qingdao, Shandong, China
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
| | - Jingjing Zhang
- Qingdao University, Qingdao, Shandong, China
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Jingyi Tian
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Can Zhao
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Chunli Liu
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Xiaolei Sun
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Xiang Gao
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Ying Zhang
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Jun Wang
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Na Li
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Hong Liu
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Yan Gao
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, 5 Yanerdao Road, Qingdao, 266073, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Xiubin Ma
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, 5 Yanerdao Road, Qingdao, 266073, Shandong, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China
| | - Jun Li
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, 5 Yanerdao Road, Qingdao, 266073, Shandong, China.
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China.
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China.
| | - Aijun Deng
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, Shandong, China.
| | - Ting Wang
- Qingdao University, Qingdao, Shandong, China.
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China.
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China.
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China.
| | - Gongqiang Yuan
- Qingdao University, Qingdao, Shandong, China.
- Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, Shandong, China.
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, Shandong, China.
- School of Ophthalmology, Shandong First Medical University, Jinan, Shandong, China.
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Zhang Y, Xing Z, Deng A. Unveiling the predictive capacity of inflammatory and platelet markers for central retinal artery occlusion. Thromb Res 2023; 232:108-112. [PMID: 37976730 DOI: 10.1016/j.thromres.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 10/19/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Cell counting in peripheral blood samples and their combinations have gained wide usage in clinical research due to their convenient and minimally invasive sampling method. This study aims to evaluate the predictive value of neutrophil-to-lymphocyte ratio (NLR), systemic Immunoinflammatory Index (SII), and systemic Inflammatory Response Index (SIRI), and platelet distribution width (PDW) for the occurrence of non-arteritic Central retinal artery occlusion (NA-CRAO). METHODS We included 123 patients diagnosed with NA-CRAO and 120 age-, sex- and blood pressure-matched individuals in this study. All participants underwent a comprehensive ophthalmic assessment. Peripheral blood samples were retrospectively analysed to obtain patients' blood counts and platelet-related indices, and further NLR, SII and SIRI were calculated. RESULTS NLR, SII, SIRI, and PDW were all found to be elevated and significantly different in NA-CRAO patients compared to controls (p < 0.05). Notably, elevated NLR and PDW were identified as independent influences on the development of NA-CRAO, with a combined predicted AUC of 0.876. CONCLUSION The utilization of NLR and PDW in NA-CRAO prediction may prove to be more effective compared to SII and SIRI.
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Affiliation(s)
- Yupeng Zhang
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, 261000 Weifang, Shandong, China
| | - Zhen Xing
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, 261000 Weifang, Shandong, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, 261000 Weifang, Shandong, China.
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Zhou C, Li S, Ye L, Chen C, Liu S, Yang H, Zhuang P, Liu Z, Jiang H, Han J, Jiang Y, Zhou L, Zhou X, Xiao J, Zhang C, Wen L, Lan C, Wang Y, Sun T, Jiang L, Xie P, Chen F, Liang G, Fu D, Zhang T, Shi X, Song Z, Liu X, Li S, Li P, Xu X, Wei Q, Wang W, Huang X, De Z, Deng A, Ding L, Pan X, Wen H, Zhang Z, Lv H, Zhang J, Tian X, Deng Z, Wang H, Wang F, Wang Y, Zhao H, Fang Y, Wu Y, Wu Y, Shen N, Li B, Li X, Dai H, Zhao N, Sun X, Zheng Z, Liu K, Xu X. Visual impairment and blindness caused by retinal diseases: A nationwide register-based study. J Glob Health 2023; 13:04126. [PMID: 37921040 PMCID: PMC10623496 DOI: 10.7189/jogh.13.04126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023] Open
Abstract
Background Retinal disorders cause substantial visual burden globally. Accurate estimates of the vision loss due to retinal diseases are pivotal to inform optimal eye health care planning and allocation of medical resources. The purpose of this study is to describe the proportion of visual impairment and blindness caused by major retinal diseases in China. Methods A nationwide register-based study of vitreoretinal disease covering all 31 provinces (51 treating centres) of mainland China. A total of 28 320 adults diagnosed with retinal diseases were included. Participants underwent standardised ocular examinations, which included best-corrected visual acuity (BCVA), dilated-fundus assessments, and optical coherence tomography. Visual impairment and blindness are defined using BCVA according to the World Health Organization (WHO) (visual impairment: <20/63-≥20/400; blindness: <20/400) and the United States (visual impairment: <20/40-≥20/200; blindness: <20/200) definitions. The risk factors of vision loss were explored by logistic regression analyses. Results Based on the WHO definitions, the proportions for unilateral visual impairment and blindness were 46% and 18%, respectively, whereas those for bilateral visual impairment and blindness were 31% and 3.3%, respectively. Diabetic retinopathy (DR) accounts for the largest proportion of patients with visual impairment (unilateral visual impairment: 32%, bilateral visual impairment: 60%) and blindness (unilateral blindness: 35%; bilateral blindness: 64%). Other retinal diseases that contributed significantly to vision loss included age-related macular degeneration, myopic maculopathy, retinal vein occlusion, and rhegmatogenous retinal detachment and other macular diseases. Women (bilateral vision loss: P = 0.011), aged patients (unilateral vision loss: 45-64 years: P < 0.001, ≥65 years: P < 0.001; bilateral vision loss: 45-64 years: P = 0.003, ≥65 years: P < 0.001 (reference: 18-44 years)) and those from Midwest China (unilateral and bilateral vision loss: both P < 0.001) were more likely to suffer from vision loss. Conclusions Retinal disorders cause substantial visual burden among patients with retinal diseases in China. DR, the predominant retinal disease, is accountable for the most prevalent visual disabilities. Better control of diabetes and scaled-up screenings are warranted to prevent DR. Specific attention should be paid to women, aged patients, and less developed regions.
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Affiliation(s)
- Chuandi Zhou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Shu Li
- Department of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Luyao Ye
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Chong Chen
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Shu Liu
- Department of Ophthalmology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong Province, China
| | - Hongxia Yang
- Department of Ophthalmology, The First People's Hospital of Jinzhong, Jinzhong, Liaoning Province, China
| | - Peng Zhuang
- Department of Ophthalmology, Zhangzhou Municipal Hospital of Fujian Province, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian Province, China
| | - Zengye Liu
- Department of Ophthalmology, Tianjin First Central Hospital, Tianjin, China
| | - Hongwen Jiang
- Department of Ophthalmology, The First People's Hospital of Kashgar, Kashgar, Xinjiang Uighur Autonomous Region, China
| | - Jing Han
- Department of Ophthalmology, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi Province, China
| | - Yiping Jiang
- Department of Ophthalmology, The First Affiliated Hospital of Gannan Medical University, Gannan, Jiangxi Province, China
| | - Liqin Zhou
- Department of Ophthalmology, The First Hospital of Jiaxing, Affiliatd Hospital of Jiaxing University, Jiaxing, Zhejiang Province, China
| | - Xiyuan Zhou
- Department of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jun Xiao
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Cangxia Zhang
- Department of Ophthalmology, Cangzhou Hospital of Integrated TCM-WM of Hebei, Cangzhou, Hebei Province, China
| | - Lihui Wen
- Department of Ophthalmology, The Second People's Hospital of Guilin, Guilin, Guangxi Province, China
| | - Changjun Lan
- Department of Ophthalmology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Yuqing Wang
- Department of Ophthalmology, The First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang Province, China
| | - Tao Sun
- Department of Ophthalmology, Yancheng City No. 1 People's Hospital, Yancheng, Jiangsu Province, China
| | - Li Jiang
- Department of Ophthalmology, Benxi Central Hospital, Benxi, Liaoning Province, China
| | - Peipei Xie
- Department of Ophthalmology, The 152th Central Hospital of the People's Liberation Army, Pingdingshan, Henan Province, China
| | - Fan Chen
- Department of Ophthalmology, Anqing Municipal Hospital, Anqing, Anhui Province, China
| | - Ge Liang
- Department of Ophthalmology, PLA Rocket Force Characteristic Medical Center, Beijing, China
| | - Dongdong Fu
- Department of Ophthalmology, People's Hospital of Zunyi City Bo Zhou District, Zunyi, Guzhou Province, China
| | - Tianzi Zhang
- Department of Ophthalmology, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, Inner Mongolia Autonomous Region, China
| | - Xuetao Shi
- Department of Ophthalmology, Pu’er City People's Hospital, Pu’er, Yunnan Province, China
| | - Zhengyu Song
- Department of Ophthalmology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xinghong Liu
- Department of Ophthalmology, The Central Hospital of Shaoyang, Shaoyang, Hunan Province, China
| | - Shanshan Li
- Department of Ophthalmology, Workers' Hospital of Jinchuan Group Co., Ltd, Jinchang, Gansu Province, China
| | - Pengcheng Li
- Department of Ophthalmology, Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xiangzhou Xu
- Department of Ophthalmology, Huizhou First Hospital, Huizhou, Guangdong Province, China
| | - Qinfeng Wei
- Department of Ophthalmology, The Second People's Hospital of Xining, Xining, Qinghai Province, China
| | - Weibang Wang
- Department of Ophthalmology, The First People's Hospital of Yinchuan, The Second Affiliated Hospital of Ningxia Medical School, Yinchuan, Ningxia Hui autonomous region, China
| | - Xionggao Huang
- Department of Ophthalmology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
| | - Zhen De
- Department of Ophthalmology, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical School, Weifang, Shandong Province, China
| | - Lin Ding
- Department of Ophthalmology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Xiuhong Pan
- Yuncheng Eye Hospital, Yuncheng, Shanxi Province, China
| | - Haiyan Wen
- Department of Ophthalmology, People's Hospital of Jilin City, Jilin, Jilin Province, China
| | - Zhongchen Zhang
- Department of Ophthalmology, Hebei Yanda Hospital, Langfang, Hebei Province, China
| | - Hongbin Lv
- Department of Ophthalmology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Jian Zhang
- Department of Ophthalmology, Shaanxi Provincial People's Hospital, Xi’an, Shanxi Province, China
| | - Xuemin Tian
- Department of Ophthalmology, The 988th Hospital of Joint Logistics Support Force of the Chinese People's Liberation Army, Kaifeng, Henan Province, China
| | - Zhen Deng
- Department of Ophthalmology, The First People's Hospital of Linping District, Hangzhou, Zhejiang Province, China
| | - Hua Wang
- Department of Ophthalmology, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu Province, China
| | - Fang Wang
- Department of Ophthalmology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China
| | - Yu Wang
- Fushun Ophthalmopathy Hospital, Fushun, Liaoning Province, China
| | - Hongchao Zhao
- Department of Ophthalmology, People's Hospital of Yuxi City, Yuxi, Yunnan Province, China
| | - Yanhong Fang
- Department of Ophthalmology, Jiangjin Central Hospital, Chongqing, China
| | - Yuyu Wu
- Department of Ophthalmology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yufeng Wu
- Department of Ophthalmology, Qingyang People's Hospital, Qingyang, Gansu Province, China
| | - Nian Shen
- Department of Ophthalmology, Liuzhou People's Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, China
| | - Bo Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Xiaorong Li
- Department of Ophthalmology, Tianjin Medical University Eye Hospital, School of Optometry & Eye Institute, Tianjin, China
| | - Hong Dai
- Department of Ophthalmology, Beijing Hospital, Beijing, China
| | - Naiqing Zhao
- Department of Biostatistics, Fudan University School of Public Health, Shanghai, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Zhi Zheng
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Kun Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
| | - Xun Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China
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Lin Z, Deng A, Hou N, Gao L, Zhi X. Advances in targeted retinal photocoagulation in the treatment of diabetic retinopathy. Front Endocrinol (Lausanne) 2023; 14:1108394. [PMID: 36936172 PMCID: PMC10018161 DOI: 10.3389/fendo.2023.1108394] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
AIM Targeted retinal photocoagulation (TRP) is an emerging laser technology for retinal targeted therapy. TRP can specifically act on unperfused retinal capillaries and retinal intermediate ischemic areas, reduce damage to tissue perfusion areas and panretinal photocoagulation (PRP) complications or adverse events. In this regard, this review discusses the treatment options, efficacy, and latest progress of TRP for diabetic retinopathy (DR) based on randomized controlled trial (RCT), meta-analysis, case review, and other existing studies. METHODS In-depth research was conducted on articles about the proposal and development of TRP, its simple application in DR, and combined therapy. In order to review the new progress, application methods, effects, and prospects of TRP in the treatment of DR, the articles related to TRP in the databases of PubMed and Web Of Science since this century were comprehensively analyzed. RESULTS TRP is effective in treating DR and may become a substitute for PRP in the future. In addition, the treatment regimen of TRP combined with intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF) drugs can also be used as a new therapeutic approach to expand the treatment regimen for the treatment of DR, and this combination therapy also has effects on other retinal vascular diseases. CONCLUSIONS With the advancement of technology, TRP has been continuously applied in clinical practice, and its potential benefits have opened up broad prospects for the treatment of DR. The combination therapy of TRP and anti-VEGF is expected to become a new option for patients with DR an retinal diseases.
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Dang H, Peng M, Gu W, Ding G, Sun Y, Hao Z, Wei N, Wang X, Zhang C, Deng A. Investigating the Clinical Characteristics and PITX3Mutations of a Large Chinese Family with Anterior Segment Mesenchymal Dysgenesis and Congenital Posterior Polar Cataract. J Ophthalmol 2023; 2023:1397107. [PMID: 37139083 PMCID: PMC10151149 DOI: 10.1155/2023/1397107] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/06/2022] [Accepted: 04/04/2023] [Indexed: 05/05/2023] Open
Abstract
Objective To investigate the clinical characteristics and pathogenic genetic mutations of a Chinese family with anterior segment mesenchymal dysgenesis and congenital posterior polar cataract. Methods Through family investigation, the family members were examined via slit lamp anterior segment imaging and screened for eye and other diseases by eye B-ultrasound. Genetic test was performed on the blood samples of the fourth family generation (23 people) via whole exome sequencing (trio-WES) and Sanger sequencing. Results Among the 36 members in four family generations, there were 11 living cases with different degrees of ocular abnormalities, such as cataracts, leukoplakia, and small cornea. All patients who received the genetic test had the heterozygous frameshift mutation c.640_656dup (p.G220Pfs∗95) on exon 4 of the PITX3 gene. This mutation was cosegregated with the clinical phenotypes in the family and thus might be one of the genetic factors that cause the corresponding ocular abnormalities in this family. Conclusion The congenital posterior polar cataract with or without anterior interstitial dysplasia (ASMD) of this family was inherited in an autosomal dominant manner, and the frameshift mutation (c.640_656dup) in the PITX3 gene was the cause of ocular abnormalities observed in this family. This study is of great significance for guiding prenatal diagnosis and disease treatment.
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Affiliation(s)
- Hui Dang
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
| | - Min Peng
- Zhigene Translational Medicine Research Center Co. Ltd., Beijing 100176, China
| | - Weiyue Gu
- Zhigene Translational Medicine Research Center Co. Ltd., Beijing 100176, China
| | - Gang Ding
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
| | - Yuqin Sun
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
| | - Zhongkai Hao
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang 261000, China
| | - Ning Wei
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
| | - Xu Wang
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
| | - Chenming Zhang
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan 250200, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang 261000, China
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Lin Z, Gao L, Hou N, Zhi X, Zhang Y, Che Z, Deng A. Application of low-intensity pulsed ultrasound on tissue resident stem cells: Potential for ophthalmic diseases. Front Endocrinol (Lausanne) 2023; 14:1153793. [PMID: 37008913 PMCID: PMC10063999 DOI: 10.3389/fendo.2023.1153793] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/07/2023] [Indexed: 03/19/2023] Open
Abstract
INTRODUCTION Tissue-resident stem cells (TRSCs) have the ability to self-renew and differentiate throughout an individual's lifespan, and they utilize both mechanisms to maintain homeostasis and regenerate damaged tissues. Several studies suggest that these stem cells can serve as a potential source for cell-replacement-based therapy by promoting differentiation or expansion. In recent years, low-intensity pulsed ultrasound (LIPUS) has been demonstrated to effectively stimulate stem cell proliferation and differentiation, promote tissue regeneration, and inhibit inflammatory responses. AIMS To present a comprehensive overview of current application and mechanism of LIPUS on tissue resident stem cells. METHODS We searched PubMed, Web of Science for articles on the effects of LIPUS on tissue resident stem cells and its application. RESULTS The LIPUS could modulate cellular activities such as cell viability, proliferation and differentiation of tissue resident stem cells and related cells through various cellular signaling pathways. Currently, LIPUS, as the main therapeutic ultrasound, is being widely used in the treatment of preclinical and clinical diseases. CONCLUSION The stem cell research is the hot topic in the biological science, while in recent years, increasing evidence has shown that TRSCs are good targets for LIPUS-regulated regenerative medicine. LIPUS may be a novel and valuable therapeutic approach for the treatment of ophthalmic diseases. How to further improve its efficiency and accuracy, as well as the biological mechanism therein, will be the focus of future research.
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Hao Z, Dang H, Gao X, Zhang C, Deng A, Tan Y, Ding G. Successful control of scleritis caused by Nocardia farcinica: A case report. Medicine (Baltimore) 2022; 101:e31481. [PMID: 36397417 PMCID: PMC9666110 DOI: 10.1097/md.0000000000031481] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
RATIONALE Nocardia farcinica is an opportunistic pathogen that rarely causes ocular infections. This study reviewed a case of N. farcinica-mediated scleritis involving the corneal limbus. PATIENT CONCERNS A 56-year-old man was admitted to the Department of Keratology of Jinan Second People's Hospital due to "a red and swollen right eye accompanied with severe pain for >1 month." He denied any history of hypertension, diabetes, systemic immune diseases and eye surgery. DIAGNOSES Corneal defect and scleral necrosis were observed by slit lamp. Combination of anterior segment optical coherence tomography and ophthalmic ultrasound biomicroscopy was used for diagnosis and evaluation of corneal and scleral conditions. Culture and metagenomic sequencing verified that the pathogen of scleritis was N. farcinica. INTERVENTIONS The patient was treated by sulfacetamide sodium eye drops, oral administration of sulfamethoxazole tablets, amikacin anterior chamber flushing, scleral debridement, and allogeneic scleral transplantation. OUTCOMES The disease was successfully controlled. LESSONS Infectious scleritis caused by N. farcinica is extremely rare. Culture of pathogenic microorganisms remains to be the gold standard for the diagnosis of infectious eye diseases. Metagenomic sequencing shows potential promise in the diagnosis of infectious eye diseases. N. farcinica is sensitive to sulfonamides and amikacin.
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Affiliation(s)
- Zhongkai Hao
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Hui Dang
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Xin Gao
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Chenming Zhang
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
- * Correspondence: Chenming Zhang, Department of Ophthalmology, Jinan Second People’s Hospital, Jinan 250200, China (e-mail: )
| | - Aijun Deng
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Yue Tan
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
| | - Gang Ding
- Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China
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Som A, Shaikh P, Deng A, Deych E, Zhang K. Coronary calcification is independently associated with major adverse cardiovascular events in men with recurrent prostate cancer while aortic calcification is not. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2578] [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
Cardiovascular disease is an important cause of morbidity and mortality in men with prostate cancer. Coronary and aortic calcification have been associated with major adverse cardiovascular events (MACE) in the general population, and are readily seen on staging cancer positron emission tomography (PET)/computed tomography (CT) scans. The utility of vascular calcification on non-gated CT for cardiovascular risk assessment in men with prostate cancer is not known.
Purpose
We determined the association between coronary and aortic calcification on non-gated CT imaging and MACE in men with prostate cancer.
Methods
We studied 354 men who underwent indium-111 capromab pendetide PET/CT for recurrent prostate cancer at our institution between 2012–2016. Clinical data were obtained from the medical record. Coronary and aortic calcification were qualitatively assessed using a standardized scoring system. The primary outcome of MACE included myocardial infarction, stroke, coronary and/or peripheral revascularization, heart failure hospitalization, and all-cause mortality.
Results
Over 5 years of follow-up, 63 patients (18%) met the primary outcome. Vascular calcification was common in this cohort (median 68 years of age), with 214 patients (60%) having coronary calcification and 296 patients (84%) having aortic calcification. Older patients had greater coronary and aortic calcification, and also higher rate of MACE. In adjusted models for age and diabetes, coronary calcification was associated with higher rate of MACE (hazard ratio [HR] 2.1, interquartile range [IQR] 1.1–4.0, p=0.02) while aortic calcification was not (HR 2.7, IQR 0.8–9.0, p=0.12). Undifferentiated vascular calcification was not associated with MACE (p=0.24).
Conclusions
Coronary calcification on non-gated CT scan is independently associated with MACE in men with recurrent prostate cancer while aortic calcification is not. The presence of coronary calcification should be included in staging PET/CT reports, and this information should prompt implementation of cardiovascular risk modification strategies.
Funding Acknowledgement
Type of funding sources: Private hospital(s). Main funding source(s): This study was supported by the Mentors in Medicine Program, Department of Internal Medicine, Washington University School of Medicine.
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Affiliation(s)
- A Som
- Washington University School of Medicine, Internal Medicine , St. Louis , United States of America
| | - P Shaikh
- Washington University School of Medicine, Internal Medicine , St. Louis , United States of America
| | - A Deng
- Washington University School of Medicine, Internal Medicine , St. Louis , United States of America
| | - E Deych
- Washington University School of Medicine, Internal Medicine , St. Louis , United States of America
| | - K Zhang
- University of Texas Southwestern Medical Center, Cardiology , Dallas , United States of America
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Gao G, Deng A, Liang S, Liu S, Fu X, Zhao X, Yu Z. Integration of Bulk RNA Sequencing and Single-Cell RNA Sequencing to Reveal Uveal Melanoma Tumor Heterogeneity and Cells Related to Survival. Front Immunol 2022; 13:898925. [PMID: 35865532 PMCID: PMC9294459 DOI: 10.3389/fimmu.2022.898925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Molecular classification based on transcriptional characteristics is often used to study tumor heterogeneity. Human cancer has different cell populations with distinct transcription in tumors, and their heterogeneity is the focus of tumor therapy. Our purpose was to explore the tumor heterogeneity of uveal melanoma (UM) through RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq). Based on the consensus clustering assays of the prognosis-related immune gene set, the immune subtype (IS) of UM and its corresponding immune characteristics were comprehensively analyzed. The heterogeneous cell groups and corresponding marker genes of UM were identified from GSE138433 using scRNA-seq analysis. Pseudotime trajectory analysis and SCENIC analysis were conducted to explore the trajectory of cell differentiation and the regulatory network of single-cell transcription factors (TFs). Based on 37 immune gene sets, UM was divided into two different immune subtypes (IS1 and IS2). The two kinds of ISs have different characteristics in prognosis, immune-related molecules, immune score, and immune cell infiltration. According to 11,988 cells of scRNA-seq data from six UM samples, 11 cell clusters and 10 cell types were identified. The subsets of C1, C4, C5, C8, and C9 were related to the prognosis of UM, and different TF–target gene regulatory networks were involved. These five cell subsets differentiated into 3 different states. Our results provided valuable information about the heterogeneity of UM tumors and the expression patterns of TFs in different cell types.
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Kouli O, Murray V, Bhatia S, Cambridge WA, Kawka M, Shafi S, Knight SR, Kamarajah SK, McLean KA, Glasbey JC, Khaw RA, Ahmed W, Akhbari M, Baker D, Borakati A, Mills E, Thavayogan R, Yasin I, Raubenheimer K, Ridley W, Sarrami M, Zhang G, Egoroff N, Pockney P, Richards T, Bhangu A, Creagh-Brown B, Edwards M, Harrison EM, Lee M, Nepogodiev D, Pinkney T, Pearse R, Smart N, Vohra R, Sohrabi C, Jamieson A, Nguyen M, Rahman A, English C, Tincknell L, Kakodkar P, Kwek I, Punjabi N, Burns J, Varghese S, Erotocritou M, McGuckin S, Vayalapra S, Dominguez E, Moneim J, Salehi M, Tan HL, Yoong A, Zhu L, Seale B, Nowinka Z, Patel N, Chrisp B, Harris J, Maleyko I, Muneeb F, Gough M, James CE, Skan O, Chowdhury A, Rebuffa N, Khan H, Down B, Fatimah Hussain Q, Adams M, Bailey A, Cullen G, Fu YXJ, McClement B, Taylor A, Aitken S, Bachelet B, Brousse de Gersigny J, Chang C, Khehra B, Lahoud N, Lee Solano M, Louca M, Rozenbroek P, Rozitis E, Agbinya N, Anderson E, Arwi G, Barry I, Batchelor C, Chong T, Choo LY, Clark L, Daniels M, Goh J, Handa A, Hanna J, Huynh L, Jeon A, Kanbour A, Lee A, Lee J, Lee T, Leigh J, Ly D, McGregor F, Moss J, Nejatian M, O'Loughlin E, Ramos I, Sanchez B, Shrivathsa A, Sincari A, Sobhi S, Swart R, Trimboli J, Wignall P, Bourke E, Chong A, Clayton S, Dawson A, Hardy E, Iqbal R, Le L, Mao S, Marinelli I, Metcalfe H, Panicker D, R HH, Ridgway S, Tan HH, Thong S, Van M, Woon S, Woon-Shoo-Tong XS, Yu S, Ali K, Chee J, Chiu C, Chow YW, Duller A, Nagappan P, Ng S, Selvanathan M, Sheridan C, Temple M, Do JE, Dudi-Venkata NN, Humphries E, Li L, Mansour LT, Massy-Westropp C, Fang B, Farbood K, Hong H, Huang Y, Joan M, Koh C, Liu YHA, Mahajan T, Muller E, Park R, Tanudisastro M, Wu JJG, Chopra P, Giang S, Radcliffe S, Thach P, Wallace D, Wilkes A, Chinta SH, Li J, Phan J, Rahman F, Segaran A, Shannon J, Zhang M, Adams N, Bonte A, Choudhry A, Colterjohn N, Croyle JA, Donohue J, Feighery A, Keane A, McNamara D, Munir K, Roche D, Sabnani R, Seligman D, Sharma S, Stickney Z, Suchy H, Tan R, Yordi S, Ahmed I, Aranha M, El Sabawy D, Garwood P, Harnett M, Holohan R, Howard R, Kayyal Y, Krakoski N, Lupo M, McGilberry W, Nepon H, Scoleri Y, Urbina C, Ahmad Fuad MF, Ahmed O, Jaswantlal D, Kelly E, Khan MHT, Naidu D, Neo WX, O'Neill R, Sugrue M, Abbas JD, Abdul-Fattah S, Azlan A, Barry K, Idris NS, Kaka N, Mc Dermott D, Mohammad Nasir MN, Mozo M, Rehal A, Shaikh Yousef M, Wong RH, Curran E, Gardner M, Hogan A, Julka R, Lasser G, Ní Chorráin N, Ting J, Browne R, George S, Janjua Z, Leung Shing V, Megally M, Murphy S, Ravenscroft L, Vedadi A, Vyas V, Bryan A, Sheikh A, Ubhi J, Vannelli K, Vawda A, Adeusi L, Doherty C, Fitzgerald C, Gallagher H, Gill P, Hamza H, Hogan M, Kelly S, Larry J, Lynch P, Mazeni NA, O'Connell R, O'Loghlin R, Singh K, Abbas Syed R, Ali A, Alkandari B, Arnold A, Arora E, Azam R, Breathnach C, Cheema J, Compton M, Curran S, Elliott JA, Jayasamraj O, Mohammed N, Noone A, Pal A, Pandey S, Quinn P, Sheridan R, Siew L, Tan EP, Tio SW, Toh VTR, Walsh M, Yap C, Yassa J, Young T, Agarwal N, Almoosawy SA, Bowen K, Bruce D, Connachan R, Cook A, Daniell A, Elliott M, Fung HKF, Irving A, Laurie S, Lee YJ, Lim ZX, Maddineni S, McClenaghan RE, Muthuganesan V, Ravichandran P, Roberts N, Shaji S, Solt S, Toshney E, Arnold C, Baker O, Belais F, Bojanic C, Byrne M, Chau CYC, De Soysa S, Eldridge M, Fairey M, Fearnhead N, Guéroult A, Ho JSY, Joshi K, Kadiyala N, Khalid S, Khan F, Kumar K, Lewis E, Magee J, Manetta-Jones D, Mann S, McKeown L, Mitrofan C, Mohamed T, Monnickendam A, Ng AYKC, Ortu A, Patel M, Pope T, Pressling S, Purohit K, Saji S, Shah Foridi J, Shah R, Siddiqui SS, Surman K, Utukuri M, Varghese A, Williams CYK, Yang JJ, Billson E, Cheah E, Holmes P, Hussain S, Murdock D, Nicholls A, Patel P, Ramana G, Saleki M, Spence H, Thomas D, Yu C, Abousamra M, Brown C, Conti I, Donnelly A, Durand M, French N, Goan R, O'Kane E, Rubinchik P, Gardiner H, Kempf B, Lai YL, Matthews H, Minford E, Rafferty C, Reid C, Sheridan N, Al Bahri T, Bhoombla N, Rao BM, Titu L, Chatha S, Field C, Gandhi T, Gulati R, Jha R, Jones Sam MT, Karim S, Patel R, Saunders M, Sharma K, Abid S, Heath E, Kurup D, Patel A, Ali M, Cresswell B, Felstead D, Jennings K, Kaluarachchi T, Lazzereschi L, Mayson H, Miah JE, Reinders B, Rosser A, Thomas C, Williams H, Al-Hamid Z, Alsadoun L, Chlubek M, Fernando P, Gaunt E, Gercek Y, Maniar R, Ma R, Matson M, Moore S, Morris A, Nagappan PG, Ratnayake M, Rockall L, Shallcross O, Sinha A, Tan KE, Virdee S, Wenlock R, Donnelly HA, Ghazal R, Hughes I, Liu X, McFadden M, Misbert E, Mogey P, O'Hara A, Peace C, Rainey C, Raja P, Salem M, Salmon J, Tan CH, Alves D, Bahl S, Baker C, Coulthurst J, Koysombat K, Linn T, Rai P, Sharma A, Shergill A, Ahmed M, Ahmed S, Belk LH, Choudhry H, Cummings D, Dixon Y, Dobinson C, Edwards J, Flint J, Franco Da Silva C, Gallie R, Gardener M, Glover T, Greasley M, Hatab A, Howells R, Hussey T, Khan A, Mann A, Morrison H, Ng A, Osmond R, Padmakumar N, Pervaiz F, Prince R, Qureshi A, Sawhney R, Sigurdson B, Stephenson L, Vora K, Zacken A, Cope P, Di Traglia R, Ferarrio I, Hackett N, Healicon R, Horseman L, Lam LI, Meerdink M, Menham D, Murphy R, Nimmo I, Ramaesh A, Rees J, Soame R, Dilaver N, Adebambo D, Brown E, Burt J, Foster K, Kaliyappan L, Knight P, Politis A, Richardson E, Townsend J, Abdi M, Ball M, Easby S, Gill N, Ho E, Iqbal H, Matthews M, Nubi S, Nwokocha JO, Okafor I, Perry G, Sinartio B, Vanukuru N, Walkley D, Welch T, Yates J, Yeshitila N, Bryans K, Campbell B, Gray C, Keys R, Macartney M, Chamberlain G, Khatri A, Kucheria A, Lee STP, Reese G, Roy choudhury J, Tan WYR, Teh JJ, Ting A, Kazi S, Kontovounisios C, Vutipongsatorn K, Amarnath T, Balasubramanian N, Bassett E, Gurung P, Lim J, Panjikkaran A, Sanalla A, Alkoot M, Bacigalupo V, Eardley N, Horton M, Hurry A, Isti C, Maskell P, Nursiah K, Punn G, Salih H, Epanomeritakis E, Foulkes A, Henderson R, Johnston E, McCullough H, McLarnon M, Morrison E, Cheung A, Cho SH, Eriksson F, Hedges J, Low Z, May C, Musto L, Nagi S, Nur S, Salau E, Shabbir S, Thomas MC, Uthayanan L, Vig S, Zaheer M, Zeng G, Ashcroft-Quinn S, Brown R, Hayes J, McConville R, French R, Gilliam A, Sheetal S, Shehzad MU, Bani W, Christie I, Franklyn J, Khan M, Russell J, Smolarek S, Varadarassou R, Ahmed SK, Narayanaswamy S, Sealy J, Shah M, Dodhia V, Manukyan A, O'Hare R, Orbell J, Chung I, Forenc K, Gupta A, Agarwal A, Al Dabbagh A, Bennewith R, Bottomley J, Chu TSM, Chu YYA, Doherty W, Evans B, Hainsworth P, Hosfield T, Li CH, McCullagh I, Mehta A, Thaker A, Thompson B, Virdi A, Walker H, Wilkins E, Dixon C, Hassan MR, Lotca N, Tong KS, Batchelor-Parry H, Chaudhari S, Harris T, Hooper J, Johnson C, Mulvihill C, Nayler J, Olutobi O, Piramanayagam B, Stones K, Sussman M, Weaver C, Alam F, Al Rawi M, Andrew F, Arrayeh A, Azizan N, Hassan A, Iqbal Z, John I, Jones M, Kalake O, Keast M, Nicholas J, Patil A, Powell K, Roberts P, Sabri A, Segue AK, Shah A, Shaik Mohamed SA, Shehadeh A, Shenoy S, Tong A, Upcott M, Vijayasingam D, Anarfi S, Dauncey J, Devindaran A, Havalda P, Komninos G, Mwendwa E, Norman C, Richards J, Urquhart A, Allan J, Cahya E, Hunt H, McWhirter C, Norton R, Roxburgh C, Tan JY, Ali Butt S, Hansdot S, Haq I, Mootien A, Sanchez I, Vainas T, Deliyannis E, Tan M, Vipond M, Chittoor Satish NN, Dattani A, De Carvalho L, Gaston-Grubb M, Karunanithy L, Lowe B, Pace C, Raju K, Roope J, Taylor C, Youssef H, Munro T, Thorn C, Wong KHF, Yunus A, Chawla S, Datta A, Dinesh AA, Field D, Georgi T, Gwozdz A, Hamstead E, Howard N, Isleyen N, Jackson N, Kingdon J, Sagoo KS, Schizas A, Yin L, Aung E, Aung YY, Franklin S, Han SM, Kim WC, Martin Segura A, Rossi M, Ross T, Tirimanna R, Wang B, Zakieh O, Ben-Arzi H, Flach A, Jackson E, Magers S, Olu abara C, Rogers E, Sugden K, Tan H, Veliah S, Walton U, Asif A, Bharwada Y, Bowley D, Broekhuizen A, Cooper L, Evans N, Girdlestone H, Ling C, Mann H, Mehmood N, Mulvenna CL, Rainer N, Trout I, Gujjuri R, Jeyaraman D, Leong E, Singh D, Smith E, Anderton J, Barabas M, Goyal S, Howard D, Joshi A, Mitchell D, Weatherby T, Badminton R, Bird R, Burtle D, Choi NY, Devalia K, Farr E, Fischer F, Fish J, Gunn F, Jacobs D, Johnston P, Kalakoutas A, Lau E, Loo YNAF, Louden H, Makariou N, Mohammadi K, Nayab Y, Ruhomaun S, Ryliskyte R, Saeed M, Shinde P, Sudul M, Theodoropoulou K, Valadao-Spoorenberg J, Vlachou F, Arshad SR, Janmohamed AM, Noor M, Oyerinde O, Saha A, Syed Y, Watkinson W, Ahmadi H, Akintunde A, Alsaady A, Bradley J, Brothwood D, Burton M, Higgs M, Hoyle C, Katsura C, Lathan R, Louani A, Mandalia R, Prihartadi AS, Qaddoura B, Sandland-Taylor L, Thadani S, Thompson A, Walshaw J, Teo S, Ali S, Bawa JH, Fox S, Gargan K, Haider SA, Hanna N, Hatoum A, Khan Z, Krzak AM, Li T, Pitt J, Tan GJS, Ullah Z, Wilson E, Cleaver J, Colman J, Copeland L, Coulson A, Davis P, Faisal H, Hassan F, Hughes JT, Jabr Y, Mahmoud Ali F, Nahaboo Solim ZN, Sangheli A, Shaya S, Thompson R, Cornwall H, De Andres Crespo M, Fay E, Findlay J, Groves E, Jones O, Killen A, Millo J, Thomas S, Ward J, Wilkins M, Zaki F, Zilber E, Bhavra K, Bilolikar A, Charalambous M, Elawad A, Eleni A, Fawdon R, Gibbins A, Livingstone D, Mala D, Oke SE, Padmakumar D, Patsalides MA, Payne D, Ralphs C, Roney A, Sardar N, Stefanova K, Surti F, Timms R, Tosney G, Bannister J, Clement NS, Cullimore V, Kamal F, Lendor J, McKay J, Mcswiggan J, Minhas N, Seneviratne K, Simeen S, Valverde J, Watson N, Bloom I, Dinh TH, Hirniak J, Joseph R, Kansagra M, Lai CKN, Melamed N, Patel J, Randev J, Sedighi T, Shurovi B, Sodhi J, Vadgama N, Abdulla S, Adabavazeh B, Champion A, Chennupati R, Chu K, Devi S, Haji A, Schulz J, Testa F, Davies P, Gurung B, Howell S, Modi P, Pervaiz A, Zahid M, Abdolrazaghi S, Abi Aoun R, Anjum Z, Bawa G, Bhardwaj R, Brown S, Enver M, Gill D, Gopikrishna D, Gurung D, Kanwal A, Kaushal P, Khanna A, Lovell E, McEvoy C, Mirza M, Nabeel S, Naseem S, Pandya K, Perkins R, Pulakal R, Ray M, Reay C, Reilly S, Round A, Seehra J, Shakeel NM, Singh B, Vijay Sukhnani M, Brown L, Desai B, Elzanati H, Godhaniya J, Kavanagh E, Kent J, Kishor A, Liu A, Norwood M, Shaari N, Wood C, Wood M, Brown A, Chellapuri A, Ferriman A, Ghosh I, Kulkarni N, Noton T, Pinto A, Rajesh S, Varghese B, Wenban C, Aly R, Barciela C, Brookes T, Corrin E, Goldsworthy M, Mohamed Azhar MS, Moore J, Nakhuda S, Ng D, Pillay S, Port S, Abdullah M, Akinyemi J, Islam S, Kale A, Lewis A, Manjunath T, McCabe H, Misra S, Stubley T, Tam JP, Waraich N, Chaora T, Ford C, Osinkolu I, Pong G, Rai J, Risquet R, Ainsworth J, Ayandokun P, Barham E, Barrett G, Barry J, Bisson E, Bridges I, Burke D, Cann J, Cloney M, Coates S, Cripps P, Davies C, Francis N, Green S, Handley G, Hathaway D, Hurt L, Jenkins S, Johnston C, Khadka A, McGee U, Morris D, Murray R, Norbury C, Pierrepont Z, Richards C, Ross O, Ruddy A, Salmon C, Shield M, Soanes K, Spencer N, Taverner S, Williams C, Wills-Wood W, Woodward S, Chow J, Fan J, Guest O, Hunter I, Moon WY, Arthur-Quarm S, Edwards P, Hamlyn V, McEneaney L, N D G, Pranoy S, Ting M, Abada S, Alawattegama LH, Ashok A, Carey C, Gogna A, Haglund C, Hurley P, Leelo N, Liu B, Mannan F, Paramjothy K, Ramlogan K, Raymond-Hayling O, Shanmugarajah A, Solichan D, Wilkinson B, Ahmad NA, Allan D, Amin A, Bakina C, Burns F, Cameron F, Campbell A, Cavanagh S, Chan SMZ, Chapman S, Chong V, Edelsten E, Ekpete O, El Sheikh M, Ghose R, Hassane A, Henderson C, Hilton-Christie S, Husain M, Hussain H, Javid Z, Johnson-Ogbuneke J, Johnston A, Khalil M, Leung TCC, Makin I, Muralidharan V, Naeem M, Patil P, Ravichandran S, Saraeva D, Shankey-Smith W, Sharma N, Swan R, Waudby-West R, Wilkinson A, Wright K, Balasubramanian A, Bhatti S, Chalkley M, Chou WK, Dixon M, Evans L, Fisher K, Gandhi P, Ho S, Lau YB, Lowe S, Meechan C, Murali N, Musonda C, Njoku P, Ochieng L, Pervez MU, Seebah K, Shaikh I, Sikder MA, Vanker R, Alom J, Bajaj V, Coleman O, Finch G, Goss J, Jenkins C, Kontothanassis A, Liew MS, Ng K, Outram M, Shakeel MM, Tawn J, Zuhairy S, Chapple K, Cinnamond A, Coleman S, George HA, Goulder L, Hare N, Hawksley J, Kret A, Luesley A, Mecia L, Porter H, Puddy E, Richardson G, Sohail B, Srikaran V, Tadross D, Tobin J, Tokidis E, Young L, Ashdown T, Bratsos S, Koomson A, Kufuor A, Lim MQ, Shah S, Thorne EPC, Warusavitarne J, Xu S, Abigail S, Ahmed A, Ahmed J, Akmal A, Al-Khafaji M, Amini B, Arshad M, Bogie E, Brazkiewicz M, Carroll M, Chandegra A, Cirelli C, Deng A, Fairclough S, Fung YJ, Gornell C, Green RL, Green SV, Gulamhussein AHM, Isaac AG, Jan R, Jegatheeswaran L, Knee M, Kotecha J, Kotecha S, Maxwell-Armstrong C, McIntyre C, Mendis N, Naing TKP, Oberman J, Ong ZX, Ramalingam A, Saeed Adam A, Tan LL, Towell S, Yadav J, Anandampillai R, Chung S, Hounat A, Ibrahim B, Jeyakumar G, Khalil A, Khan UA, Nair G, Owusu-Ayim M, Wilson M, Kanani A, Kilkelly B, Ogunmwonyi I, Ong L, Samra B, Schomerus L, Shea J, Turner O, Yang Y, Amin M, Blott N, Clark A, Feather A, Forrest M, Hague S, Hamilton K, Higginbotham G, Hope E, Karimian S, Loveday K, Malik H, McKenna O, Noor A, Onsiong C, Patel B, Radcliffe N, Shah P, Tye L, Verma K, Walford R, Yusufi U, Zachariah M, Casey A, Doré C, Fludder V, Fortescue L, Kalapu SS, Karel E, Khera G, Smith C, Appleton B, Ashaye A, Boggon E, Evans A, Faris Mahmood H, Hinchcliffe Z, Marei O, Silva I, Spooner C, Thomas G, Timlin M, Wellington J, Yao SL, Abdelrazek M, Abdelrazik Y, Bee F, Joseph A, Mounce A, Parry G, Vignarajah N, Biddles D, Creissen A, Kolhe S, K T, Lea A, Ledda V, O'Loughlin P, Scanlon J, Shetty N, Weller C, Abdalla M, Adeoye A, Bhatti M, Chadda KR, Chu J, Elhakim H, Foster-Davies H, Rabie M, Tailor B, Webb S, Abdelrahim ASA, Choo SY, Jiwa A, Mangam S, Murray S, Shandramohan A, Aghanenu O, Budd W, Hayre J, Khanom S, Liew ZY, McKinney R, Moody N, Muhammad-Kamal H, Odogwu J, Patel D, Roy C, Sattar Z, Shahrokhi N, Sinha I, Thomson E, Wonga L, Bain J, Khan J, Ricardo D, Bevis R, Cherry C, Darkwa S, Drew W, Griffiths E, Konda N, Madani D, Mak JKC, Meda B, Odunukwe U, Preest G, Raheel F, Rajaseharan A, Ramgopal A, Risbrooke C, Selvaratnam K, Sethunath G, Tabassum R, Taylor J, Thakker A, Wijesingha N, Wybrew R, Yasin T, Ahmed Osman A, Alfadhel S, Carberry E, Chen JY, Drake I, Glen P, Jayasuriya N, Kawar L, Myatt R, Sinan LOH, Siu SSY, Tjen V, Adeboyejo O, Bacon H, Barnes R, Birnie C, D'Cunha Kamath A, Hughes E, Middleton S, Owen R, Schofield E, Short C, Smith R, Wang H, Willett M, Zimmerman M, Balfour J, Chadwick T, Coombe-Jones M, Do Le HP, Faulkner G, Hobson K, Shehata Z, Beattie M, Chmielewski G, Chong C, Donnelly B, Drusch B, Ellis J, Farrelly C, Feyi-Waboso J, Hibell I, Hoade L, Ho C, Jones H, Kodiatt B, Lidder P, Ni Cheallaigh L, Norman R, Patabendi I, Penfold H, Playfair M, Pomeroy S, Ralph C, Rottenburg H, Sebastian J, Sheehan M, Stanley V, Welchman J, Ajdarpasic D, Antypas A, Azouaghe O, Basi S, Bettoli G, Bhattarai S, Bommireddy L, Bourne K, Budding J, Cookey-Bresi R, Cummins T, Davies G, Fabelurin C, Gwilliam R, Hanley J, Hird A, Kruczynska A, Langhorne B, Lund J, Lutchman I, McGuinness R, Neary M, Pampapathi S, Pang E, Podbicanin S, Rai N, Redhouse White G, Sujith J, Thomas P, Walker I, Winterton R, Anderson P, Barrington M, Bhadra K, Clark G, Fowler G, Gibson C, Hudson S, Kaminskaite V, Lawday S, Longshaw A, MacKrill E, McLachlan F, Murdeshwar A, Nieuwoudt R, Parker P, Randall R, Rawlins E, Reeves SA, Rye D, Sirkis T, Sykes B, Ventress N, Wosinska N, Akram B, Burton L, Coombs A, Long R, Magowan D, Ong C, Sethi M, Williams G, Chan C, Chan LH, Fernando D, Gaba F, Khor Z, Les JW, Mak R, Moin S, Ng Kee Kwong KC, Paterson-Brown S, Tew YY, Bardon A, Burrell K, Coldwell C, Costa I, Dexter E, Hardy A, Khojani M, Mazurek J, Raymond T, Reddy V, Reynolds J, Soma A, Agiotakis S, Alsusa H, Desai N, Peristerakis I, Adcock A, Ayub H, Bennett T, Bibi F, Brenac S, Chapman T, Clarke G, Clark F, Galvin C, Gwyn-Jones A, Henry-Blake C, Kerner S, Kiandee M, Lovett A, Pilecka A, Ravindran R, Siddique H, Sikand T, Treadwell K, Akmal K, Apata A, Barton O, Broad G, Darling H, Dhuga Y, Emms L, Habib S, Jain R, Jeater J, Kan CYP, Kathiravelupillai A, Khatkar H, Kirmani S, Kulasabanathan K, Lacey H, Lal K, Manafa C, Mansoor M, McDonald S, Mittal A, Mustoe S, Nottrodt L, Oliver P, Papapetrou I, Pattinson F, Raja M, Reyhani H, Shahmiri A, Small O, Soni U, Aguirrezabala Armbruster B, Bunni J, Hakim MA, Hawkins-Hooker L, Howell KA, Hullait R, Jaskowska A, Ottewell L, Thomas-Jones I, Vasudev A, Clements B, Fenton J, Gill M, Haider S, Lim AJM, Maguire H, McMullan J, Nicoletti J, Samuel S, Unais MA, White N, Yao PC, Yow L, Boyle C, Brady R, Cheekoty P, Cheong J, Chew SJHL, Chow R, Ganewatta Kankanamge D, Mamer L, Mohammed B, Ng Chieng Hin J, Renji Chungath R, Royston A, Sharrad E, Sinclair R, Tingle S, Treherne K, Wyatt F, Maniarasu VS, Moug S, Appanna T, Bucknall T, Hussain F, Owen A, Parry M, Parry R, Sagua N, Spofforth K, Yuen ECT, Bosley N, Hardie W, Moore T, Regas C, Abdel-Khaleq S, Ali N, Bashiti H, Buxton-Hopley R, Constantinides M, D'Afflitto M, Deshpande A, Duque Golding J, Frisira E, Germani Batacchi M, Gomaa A, Hay D, Hutchison R, Iakovou A, Iakovou D, Ismail E, Jefferson S, Jones L, Khouli Y, Knowles C, Mason J, McCaughan R, Moffatt J, Morawala A, Nadir H, Neyroud F, Nikookam Y, Parmar A, Pinto L, Ramamoorthy R, Richards E, Thomson S, Trainer C, Valetopoulou A, Vassiliou A, Wantman A, Wilde S, Dickinson M, Rockall T, Senn D, Wcislo K, Zalmay P, Adelekan K, Allen K, Bajaj M, Gatumbu P, Hang S, Hashmi Y, Kaur T, Kawesha A, Kisiel A, Woodmass M, Adelowo T, Ahari D, Alhwaishel K, Atherton R, Clayton B, Cockroft A, Curtis Lopez C, Hilton M, Ismail N, Kouadria M, Lee L, MacConnachie A, Monks F, Mungroo S, Nikoletopoulou C, Pearce L, Sara X, Shahid A, Suresh G, Wilcha R, Atiyah A, Davies E, Dermanis A, Gibbons H, Hyde A, Lawson A, Lee C, Leung-Tack M, Li Saw Hee J, Mostafa O, Nair D, Pattani N, Plumbley-Jones J, Pufal K, Ramesh P, Sanghera J, Saram S, Scadding S, See S, Stringer H, Torrance A, Vardon H, Wyn-Griffiths F, Brew A, Kaur G, Soni D, Tickle A, Akbar Z, Appleyard T, Figg K, Jayawardena P, Johnson A, Kamran Siddiqui Z, Lacy-Colson J, Oatham R, Rowlands B, Sludden E, Turnbull C, Allin D, Ansar Z, Azeez Z, Dale VH, Garg J, Horner A, Jones S, Knight S, McGregor C, McKenna J, McLelland T, Packham-Smith A, Rowsell K, Spector-Hill I, Adeniken E, Baker J, Bartlett M, Chikomba L, Connell B, Deekonda P, Dhar M, Elmansouri A, Gamage K, Goodhew R, Hanna P, Knight J, Luca A, Maasoumi N, Mahamoud F, Manji S, Marwaha PK, Mason F, Oluboyede A, Pigott L, Razaq AM, Richardson M, Saddaoui I, Wijeyendram P, Yau S, Atkins W, Liang K, Miles N, Praveen B, Ashai S, Braganza J, Common J, Cundy A, Davies R, Guthrie J, Handa I, Iqbal M, Ismail R, Jones C, Jones I, Lee KS, Levene A, Okocha M, Olivier J, Smith A, Subramaniam E, Tandle S, Wang A, Watson A, Wilson C, Chan XHF, Khoo E, Montgomery C, Norris M, Pugalenthi PP, Common T, Cook E, Mistry H, Shinmar HS, Agarwal G, Bandyopadhyay S, Brazier B, Carroll L, Goede A, Harbourne A, Lakhani A, Lami M, Larwood J, Martin J, Merchant J, Pattenden S, Pradhan A, Raafat N, Rothwell E, Shammoon Y, Sudarshan R, Vickers E, Wingfield L, Ashworth I, Azizi S, Bhate R, Chowdhury T, Christou A, Davies L, Dwaraknath M, Farah Y, Garner J, Gureviciute E, Hart E, Jain A, Javid S, Kankam HK, Kaur Toor P, Kaz R, Kermali M, Khan I, Mattson A, McManus A, Murphy M, Nair K, Ngemoh D, Norton E, Olabiran A, Parry L, Payne T, Pillai K, Price S, Punjabi K, Raghunathan A, Ramwell A, Raza M, Ritehnia J, Simpson G, Smith W, Sodeinde S, Studd L, Subramaniam M, Thomas J, Towey S, Tsang E, Tuteja D, Vasani J, Vio M, Badran A, Adams J, Anthony Wilkinson J, Asvandi S, Austin T, Bald A, Bix E, Carrick M, Chander B, Chowdhury S, Cooper Drake B, Crosbie S, D Portela S, Francis D, Gallagher C, Gillespie R, Gravett H, Gupta P, Ilyas C, James G, Johny J, Jones A, Kinder F, MacLeod C, Macrow C, Maqsood-Shah A, Mather J, McCann L, McMahon R, Mitham E, Mohamed M, Munton E, Nightingale K, O'Neill K, Onyemuchara I, Senior R, Shanahan A, Sherlock J, Spyridoulias A, Stavrou C, Stokes D, Tamang R, Taylor E, Trafford C, Uden C, Waddington C, Yassin D, Zaman M, Bangi S, Cheng T, Chew D, Hussain N, Imani-Masouleh S, Mahasivam G, McKnight G, Ng HL, Ota HC, Pasha T, Ravindran W, Shah K, Vishnu K S, Zaman S, Carr W, Cope S, Eagles EJ, Howarth-Maddison M, Li CY, Reed J, Ridge A, Stubbs T, Teasdaled D, Umar R, Worthington J, Dhebri A, Kalenderov R, Alattas A, Arain Z, Bhudia R, Chia D, Daniel S, Dar T, Garland H, Girish M, Hampson A, Kyriacou H, Lehovsky K, Mullins W, Omorphos N, Vasdev N, Venkatesh A, Waldock W, Bhandari A, Brown G, Choa G, Eichenauer CE, Ezennia K, Kidwai Z, Lloyd-Thomas A, Macaskill Stewart A, Massardi C, Sinclair E, Skajaa N, Smith M, Tan I, Afsheen N, Anuar A, Azam Z, Bhatia P, Davies-kelly N, Dickinson S, Elkawafi M, Ganapathy M, Gupta S, Khoury EG, Licudi D, Mehta V, Neequaye S, Nita G, Tay VL, Zhao S, Botsa E, Cuthbert H, Elliott J, Furlepa M, Lehmann J, Mangtani A, Narayan A, Nazarian S, Parmar C, Shah D, Shaw C, Zhao Z, Beck C, Caldwell S, Clements JM, French B, Kenny R, Kirk S, Lindsay J, McClung A, McLaughlin N, Watson S, Whiteside E, Alyacoubi S, Arumugam V, Beg R, Dawas K, Garg S, Lloyd ER, Mahfouz Y, Manobharath N, Moonesinghe R, Morka N, Patel K, Prashar J, Yip S, Adeeko ES, Ajekigbe F, Bhat A, Evans C, Farrugia A, Gurung C, Long T, Malik B, Manirajan S, Newport D, Rayer J, Ridha A, Ross E, Saran T, Sinker A, Waruingi D, Allen R, Al Sadek Y, Alves do Canto Brum H, Asharaf H, Ashman M, Balakumar V, Barrington J, Baskaran R, Berry A, Bhachoo H, Bilal A, Boaden L, Chia WL, Covell G, Crook D, Dadnam F, Davis L, De Berker H, Doyle C, Fox C, Gruffydd-Davies M, Hafouda Y, Hill A, Hubbard E, Hunter A, Inpadhas V, Jamshaid M, Jandu G, Jeyanthi M, Jones T, Kantor C, Kwak SY, Malik N, Matt R, McNulty P, Miles C, Mohomed A, Myat P, Niharika J, Nixon A, O'Reilly D, Parmar K, Pengelly S, Price L, Ramsden M, Turnor R, Wales E, Waring H, Wu M, Yang T, Ye TTS, Zander A, Zeicu C, Bellam S, Francombe J, Kawamoto N, Rahman MR, Sathyanarayana A, Tang HT, Cheung J, Hollingshead J, Page V, Sugarman J, Wong E, Chiong J, Fung E, Kan SY, Kiang J, Kok J, Krahelski O, Liew MY, Lyell B, Sharif Z, Speake D, Alim L, Amakye NY, Chandrasekaran J, Chandratreya N, Drake J, Owoso T, Thu YM, Abou El Ela Bourquin B, Alberts J, Chapman D, Rehnnuma N, Ainsworth K, Carpenter H, Emmanuel T, Fisher T, Gabrel M, Guan Z, Hollows S, Hotouras A, Ip Fung Chun N, Jaffer S, Kallikas G, Kennedy N, Lewinsohn B, Liu FY, Mohammed S, Rutherfurd A, Situ T, Stammer A, Taylor F, Thin N, Urgesi E, Zhang N, Ahmad MA, Bishop A, Bowes A, Dixit A, Glasson R, Hatta S, Hatt K, Larcombe S, Preece J, Riordan E, Fegredo D, Haq MZ, Li C, McCann G, Stewart D, Baraza W, Bhullar D, Burt G, Coyle J, Deans J, Devine A, Hird R, Ikotun O, Manchip G, Ross C, Storey L, Tan WWL, Tse C, Warner C, Whitehead M, Wu F, Court EL, Crisp E, Huttman M, Mayes F, Robertson H, Rosen H, Sandberg C, Smith H, Al Bakry M, Ashwell W, Bajaj S, Bandyopadhyay D, Browlee O, Burway S, Chand CP, Elsayeh K, Elsharkawi A, Evans E, Ferrin S, Fort-Schaale A, Iacob M, I K, Impelliziere Licastro G, Mankoo AS, Olaniyan T, Otun J, Pereira R, Reddy R, Saeed D, Simmonds O, Singhal G, Tron K, Wickstone C, Williams R, Bradshaw E, De Kock Jewell V, Houlden C, Knight C, Metezai H, Mirza-Davies A, Seymour Z, Spink D, Wischhusen S. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study. Lancet Digit Health 2022; 4:e520-e531. [PMID: 35750401 DOI: 10.1016/s2589-7500(22)00069-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/07/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. METHODS We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). FINDINGS In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]). INTERPRETATION In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. FUNDING British Journal of Surgery Society.
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Deng A, Wu S, Hao J, Pan H, Li M, Gao X. Photocatalytic Removal of Cr(VI) by Thiourea Modified Sodium Alginate/Biochar Composite Gel. Gels 2022; 8:293. [PMID: 35621591 PMCID: PMC9141709 DOI: 10.3390/gels8050293] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/28/2022] [Accepted: 05/06/2022] [Indexed: 02/04/2023] Open
Abstract
Heavy metal pollution is an important problem in current water treatments. Traditional methods for treating chromium-containing wastewater have limitations such as having complicated processes and causing secondary pollution. Therefore, seeking efficient and fast processing methods is an important research topic at present. Photocatalysis is an efficient method to remove Cr(VI) from aqueous solutions; however, conventional photocatalysts suffer from a low metal absorption capacity, high investment cost, and slow desorption of trivalent chromium from the catalyst surface. In this study, a novel composite gel was synthesized by chemically modifying thiourea onto sodium alginate, which was then mixed with biochar. The composite gel (T-BSA) can effectively remove 99.98% of Cr(VI) in aqueous solution through synergistic adsorption and photocatalytic reduction under UV light irradiation. The removal mechanism of Cr(VI) was analyzed by FT-IR, FESEM, UV-DRS and XPS. The results show that under acidic conditions, the amino group introduced by chemical modification can be protonated to adsorb Cr(VI) through electrostatic interaction. In addition, the biochar as a functional material has a large specific surface area and pore structure, which can provide active sites for the adsorption of Cr(VI), while the photo-reduced Cr(III) is released into the solution through electrostatic repulsion, regenerating the adsorption sites, thereby improving the removal performance of Cr(VI). Biochar significantly intensifies the Cr(VI) removal performance by providing a porous structure and transferring electrons during photoreduction. This study demonstrates that polysaccharide-derived materials can serve as efficient photocatalysts for wastewater treatment.
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Affiliation(s)
- Aijun Deng
- Anhui Province Key Laboratory of Metallurgical Engineering & Resources Recycling, Anhui University of Technology, Maanshan 243002, China; (A.D.); (H.P.)
- School of Metallurgical Engineering, Anhui University of Technology, Maanshan 243032, China; (S.W.); (J.H.); (M.L.)
| | - Shaojie Wu
- School of Metallurgical Engineering, Anhui University of Technology, Maanshan 243032, China; (S.W.); (J.H.); (M.L.)
| | - Junjie Hao
- School of Metallurgical Engineering, Anhui University of Technology, Maanshan 243032, China; (S.W.); (J.H.); (M.L.)
| | - Hongbo Pan
- Anhui Province Key Laboratory of Metallurgical Engineering & Resources Recycling, Anhui University of Technology, Maanshan 243002, China; (A.D.); (H.P.)
| | - Mingyang Li
- School of Metallurgical Engineering, Anhui University of Technology, Maanshan 243032, China; (S.W.); (J.H.); (M.L.)
| | - Xiangpeng Gao
- Anhui Province Key Laboratory of Metallurgical Engineering & Resources Recycling, Anhui University of Technology, Maanshan 243002, China; (A.D.); (H.P.)
- School of Metallurgical Engineering, Anhui University of Technology, Maanshan 243032, China; (S.W.); (J.H.); (M.L.)
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14
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Gao G, Yu Z, Zhao X, Fu X, Liu S, Liang S, Deng A. Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures. Sci Rep 2021; 11:22244. [PMID: 34782661 PMCID: PMC8593069 DOI: 10.1038/s41598-021-01627-2] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/14/2021] [Indexed: 02/07/2023] Open
Abstract
Cutaneous melanoma could be treated by immunotherapy, which only has limited efficacy on uveal melanoma (UM). UM immunotyping for predicting immunotherapeutic responses and guiding immunotherapy should be better understood. This study identified molecular subtypes and key genetic markers associated with immunotherapy through immunosignature analysis. We screened a 6-immune cell signature simultaneously correlated with UM prognosis. Three immune subtypes (IS) were determined based on the 6-immune cell signature. Overall survival (OS) of IS3 was the longest. Significant differences of linear discriminant analysis (LDA) score were detected among the three IS types. IS3 with the highest LDA score showed a low immunosuppression. IS1 with the lowest LDA score was more immunosuppressive. LDA score was significantly negatively correlated with most immune checkpoint-related genes, and could reflect UM patients’ response to anti-PD1 immunotherapy. Weighted correlation network analysis (WGCNA) identified that salmon, purple, yellow modules were related to IS and screened 6 prognostic genes. Patients with high-expressed NME1 and TMEM255A developed poor prognosis, while those with high-expressed BEX5 and ROPN1 had better prognosis. There was no notable difference in OS between patients with high-expressed LRRN1 and ST13 and those with low-expressed LRRN1 and ST13. NME1, TMEM255A, Bex5 and ROPN1 showed potential prognostic significance in UM.
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Affiliation(s)
- Guohong Gao
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China.
| | - Zhilong Yu
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Xiaoyan Zhao
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Xinyi Fu
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Shengsheng Liu
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Shan Liang
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang, 261000, Shandong, China
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15
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Xia F, Yu Z, Deng A, Gao G. Identification of molecular subtyping system and four-gene prognostic signature with immune-related genes for uveal melanoma. Exp Biol Med (Maywood) 2021; 247:246-262. [PMID: 34743576 DOI: 10.1177/15353702211053801] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Immunotherapy is the most promising treatment for uveal melanoma patients with metastasis. Tumor microenvironment plays an essential role in tumor progression and greatly affects the efficacy of immunotherapy. This research constructed an immune-related subtyping system and discovered immune prognostic genes to further understand the immune mechanism in uveal melanoma. Immune-related genes were determined from literature. Gene expression profiles of uveal melanoma were clustered using consensus clustering based on immune-related genes. Subtypes were further divided by applying immune landscape, and weighted correlation network analysis was performed to construct immune gene modules. Univariate Cox regression analysis was conducted to generate a prognostic model. Enriched immune cells were determined after gene set enrichment analysis. Three major immune subtypes (IS1, IS2, and IS3) were identified, and IS2 could be further divided into IS2A and IS2B. The subtypes were closely associated with uveal melanoma prognosis. IS3 group had the most favorable prognosis and was sensitive to PD-1 inhibitor. Immune genes in IS1 group showed an overall higher expression than IS3 group. Six immune gene modules were identified, and the enrichment score of immune genes varied within immune subtypes. Four immune prognostic genes (IL32, IRF1, SNX20, and VAV1) were found to be closely related to survival. This novel immune subtyping system and immune landscape provide a new understanding of immunotherapy in uveal melanoma. The four prognostic genes can predict prognosis of uveal melanoma patients and contribute to new development of targeted drugs.
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Affiliation(s)
- Fei Xia
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang 261000, China
| | - Zhilong Yu
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang 261000, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang 261000, China
| | - Guohong Gao
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Clinical Medical Institute, Weifang Medical University, Weifang 261000, China
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16
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Lin X, Meng Z, Deng A, Chen X, Wang S, Gu S, Li N. The multimodal imaging characteristics of IRVAN syndrome: a case report. Am J Transl Res 2021; 13:9866-9873. [PMID: 34540123 PMCID: PMC8430155] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/25/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND In this case report, we aimed to describe the multimodal imaging characteristics and the successful treatment of idiopathic retinal vasculitis, aneurysms, and neuroretinitis (IRVAN) syndrome in a 39-year-old man. CASE PRESENTATION His both eyes were diagnosed with IRVAN syndrome via multimodal imaging, including fundus color photograph, multicolor imaging, infrared ray, fundus autofluorescence, fundus fluorescence angiography and optical coherence tomography angiography. Both eyes were treated with vitrectomy and laser photocoagulation. The treatment was effective. Eighteen months after discharge, the patient had visual acuity of 20/20 in both eyes. CONCLUSIONS This case report demonstrates that vitrectomy and retinal laser photocoagulation can be successful in treating a patient with IRVAN syndrome in both eyes.
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Affiliation(s)
- Xin Lin
- Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Zijie Meng
- Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Aijun Deng
- School of Clinical Medicine, Weifang Medical UniversityWeifang, Shandong Province, China
| | - Xiaojun Chen
- Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Shuna Wang
- School of Clinical Medicine, Weifang Medical UniversityWeifang, Shandong Province, China
| | - Shuoshuo Gu
- Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Na Li
- School of Clinical Medicine, Weifang Medical UniversityWeifang, Shandong Province, China
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17
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Chen J, Lu C, Huang H, Zhu D, Yang Q, Liu J, Huang Y, Deng A, Han X. Cognitive Computing-Based CDSS in Medical Practice. Health Data Sci 2021; 2021:9819851. [PMID: 38487503 PMCID: PMC10880153 DOI: 10.34133/2021/9819851] [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] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 06/28/2021] [Indexed: 03/17/2024]
Abstract
Importance. The last decade has witnessed the advances of cognitive computing technologies that learn at scale and reason with purpose in medicine studies. From the diagnosis of diseases till the generation of treatment plans, cognitive computing encompasses both data-driven and knowledge-driven machine intelligence to assist health care roles in clinical decision-making. This review provides a comprehensive perspective from both research and industrial efforts on cognitive computing-based CDSS over the last decade.Highlights. (1) A holistic review of both research papers and industrial practice about cognitive computing-based CDSS is conducted to identify the necessity and the characteristics as well as the general framework of constructing the system. (2) Several of the typical applications of cognitive computing-based CDSS as well as the existing systems in real medical practice are introduced in detail under the general framework. (3) The limitations of the current cognitive computing-based CDSS is discussed that sheds light on the future work in this direction.Conclusion. Different from medical content providers, cognitive computing-based CDSS provides probabilistic clinical decision support by automatically learning and inferencing from medical big data. The characteristics of managing multimodal data and computerizing medical knowledge distinguish cognitive computing-based CDSS from other categories. Given the current status of primary health care like high diagnostic error rate and shortage of medical resources, it is time to introduce cognitive computing-based CDSS to the medical community which is supposed to be more open-minded and embrace the convenience and low cost but high efficiency brought by cognitive computing-based CDSS.
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Affiliation(s)
| | | | | | | | | | | | | | - Aijun Deng
- The Affiliated Hospital of Weifang Medical University, Shandong, China
| | - Xiaoxu Han
- National Clinical Research Center for Laboratory MedicineChina
- The First Affiliated Hospital, China Medical University, Liaoning, China
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18
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Cheng B, Hu J, Zuo X, Chen J, Li X, Chen Y, Yang G, Shi X, Deng A. Predictors of progression from moderate to severe coronavirus disease 2019: a retrospective cohort. Clin Microbiol Infect 2020; 26:1400-1405. [PMID: 32622952 PMCID: PMC7331556 DOI: 10.1016/j.cmi.2020.06.033] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 06/26/2020] [Accepted: 06/28/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Most cases of coronavirus disease 2019 (COVID-19) are identified as moderate, which is defined as having a fever or dry cough and lung imaging with ground-glass opacities. The risk factors and predictors of prognosis in such cohorts remain uncertain. METHODS All adults with COVID-19 of moderate severity diagnosed using quantitative RT-PCR and hospitalized at the Central Hospital of Wuhan, China, from 1 January to 20 March 2020 were enrolled in this retrospective study. The main outcomes were progression from moderate to severe or critical condition or death. RESULTS Among the 456 enrolled patients with moderate COVID-19, 251/456 (55.0%) had poor prognosis. Multivariate logistic regression analysis identified higher neutrophil count: lymphocyte count ratio (NLR) on admission (OR 1.032, 95% CI 1.042-1.230, p 0.004) and higher C-reactive protein (CRP) on admission (OR 3.017, 95% CI 1.941-4.690, p < 0.001) were associated with increased OR of poor prognosis. The area under the receiver operating characteristic curve (AUC) for NLR and CRP in predicting progression to critical condition was 0.77 (95% CI 0.694-0.846, p < 0.001) and 0.84 (95% CI 0.780-0.905, p < 0.001), with a cut-off value of 2.79 and 25.95 mg/L, respectively. The AUC of NLR and CRP in predicting death was 0.81 (95% CI 0.732-0.878, p < 0.001) and 0.89 (95% CI 0.825-0.946, p < 0.001), with a cut-off value of 3.19 and 33.4 mg/L, respectively. CONCLUSIONS Higher levels of NLR and CRP at admission were associated with poor prognosis of individuals with moderate COVID-19. NLR and CRP were good predictors of progression to critical condition and death.
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Affiliation(s)
- B Cheng
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - J Hu
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - X Zuo
- Information Centre, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - J Chen
- Information Centre, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - X Li
- Department of Research, Wuhan Hospital of Traditional Chinese and Western Medicine, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Chen
- Tongji School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - G Yang
- Information Centre, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - X Shi
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - A Deng
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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19
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Lauvaux T, Gurney KR, Miles NL, Davis KJ, Richardson SJ, Deng A, Nathan BJ, Oda T, Wang JA, Hutyra L, Turnbull J. Policy-Relevant Assessment of Urban CO 2 Emissions. Environ Sci Technol 2020; 54:10237-10245. [PMID: 32806908 DOI: 10.1021/acs.est.0c00343] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Global fossil fuel carbon dioxide (FFCO2) emissions will be dictated to a great degree by the trajectory of emissions from urban areas. Conventional methods to quantify urban FFCO2 emissions typically rely on self-reported economic/energy activity data transformed into emissions via standard emission factors. However, uncertainties in these traditional methods pose a roadblock to implementation of effective mitigation strategies, independently monitor long-term trends, and assess policy outcomes. Here, we demonstrate the applicability of the integration of a dense network of greenhouse gas sensors with a science-driven building and street-scale FFCO2 emissions estimation through the atmospheric CO2 inversion process. Whole-city FFCO2 emissions agree within 3% annually. Current self-reported inventory emissions for the city of Indianapolis are 35% lower than our optimal estimate, with significant differences across activity sectors. Differences remain, however, regarding the spatial distribution of sectoral FFCO2 emissions, underconstrained despite the inclusion of coemitted species information.
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Affiliation(s)
- Thomas Lauvaux
- Laboratoire des Sciences du Climat et de l'Environnement, CEA, CNRS, UVSQ/IPSL, Université Paris-Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette Cedex, France
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Kevin R Gurney
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona 86011, United States
| | - Natasha L Miles
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Kenneth J Davis
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Scott J Richardson
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Aijun Deng
- Utopus Insights, Valhalla, New York 10595, United States
| | - Brian J Nathan
- OSU Pytheas, Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale, Aix-Marseille Université, Campus Aix Technopôle de l'environnement Arbois Méditerranée, Aix-en-Provence, 13013 MarseilleFrance
| | - Tomohiro Oda
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, United States
- Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, Maryland 21046, United States
| | - Jonathan A Wang
- University of California Irvine, Irvine, California 92697, United States
| | - Lucy Hutyra
- Boston University, Boston, Massachusetts 02215, United States
| | - Jocelyn Turnbull
- Rafter Radiocarbon Laboratory, GNS Science, Lower Hutt 5040, New Zealand
- CIRES, University of Colorado at Boulder, Boulder, Colorado 80309, United States
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20
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Xu Y, Lu B, Zhou Y, Ren S, Pang G, Deng A. Is dietary fat associated with the risk of age-related macular degeneration? Protocol for a systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e19081. [PMID: 32332595 PMCID: PMC7220680 DOI: 10.1097/md.0000000000019081] [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] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 01/09/2020] [Indexed: 11/26/2022] Open
Abstract
Previous studies evaluating the association of dietary fat and risk of age-related macular degeneration (AMD) yield discrepant results. The objective of this systematic review (SR) and meta-analysis is to establish whether an association exists between dietary fat and AMD. This protocol was developed in line with the quality requirements of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. PubMed and EMBASE will be searched for randomized controlled trials (RCTs), non-randomized trials (NRTs), cross-sectional studies, cohort studies, and case-control studies that evaluate the total incidence of AMD. The data extraction content and quantitative analysis will be carried out systematically. Newcastle-Ottawa Scale (NOS), the Cochrane risk of bias tool, and quality assessment tools will be used for quality assessment. This SR will synthesize evidence to determine if there is an association between dietary fat and AMD. The evidence would provide rationale for future research and serve as a basis for the development of future guidelines. Results are expected to be publicly available in mid 2020.PROSPERO registration number: CRD42019137086.
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Affiliation(s)
- Yunsheng Xu
- Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province
| | - Bo Lu
- Shaanxi Traditional Chinese Medicine Hospital, Xi’an, Shaanxi Province
| | - Yana Zhou
- Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei Province
| | - Shuxia Ren
- School of Computer Science and Technology, Tianjin Polytechnic University, Tianjin
| | - Guoming Pang
- Kaifeng Hospital of Traditional Chinese Medicine, Kaifeng, Henan Province
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, China
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21
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Deng A, Zhang H, Wang W, Zhang J, Fan D, Chen P, Wang B. Developing Computational Model to Predict Protein-Protein Interaction Sites Based on the XGBoost Algorithm. Int J Mol Sci 2020; 21:E2274. [PMID: 32218345 PMCID: PMC7178137 DOI: 10.3390/ijms21072274] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/10/2020] [Accepted: 03/23/2020] [Indexed: 12/27/2022] Open
Abstract
The study of protein-protein interaction is of great biological significance, and the prediction of protein-protein interaction sites can promote the understanding of cell biological activity and will be helpful for drug development. However, uneven distribution between interaction and non-interaction sites is common because only a small number of protein interactions have been confirmed by experimental techniques, which greatly affects the predictive capability of computational methods. In this work, two imbalanced data processing strategies based on XGBoost algorithm were proposed to re-balance the original dataset from inherent relationship between positive and negative samples for the prediction of protein-protein interaction sites. Herein, a feature extraction method was applied to represent the protein interaction sites based on evolutionary conservatism of proteins, and the influence of overlapping regions of positive and negative samples was considered in prediction performance. Our method showed good prediction performance, such as prediction accuracy of 0.807 and MCC of 0.614, on an original dataset with 10,455 surface residues but only 2297 interface residues. Experimental results demonstrated the effectiveness of our XGBoost-based method.
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Affiliation(s)
- Aijun Deng
- Key Laboratory of Metallurgical Emission Reduction & Resources Recycling (Anhui University of Technology), Ministry of Education, Ma'anshan 243002, China
- School of Metallurgical Engineering, Anhui University of Technology, Ma'anshan 243032, China
- Department of Engineering, University of Leicester, Leicester LE1 7RH, UK
| | - Huan Zhang
- School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
| | - Wenyan Wang
- School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
| | - Jun Zhang
- Co-Innovation Center for Information Supply & Assurance Technology, Anhui University, Hefei 230032, China
| | - Dingdong Fan
- School of Metallurgical Engineering, Anhui University of Technology, Ma'anshan 243032, China
| | - Peng Chen
- Co-Innovation Center for Information Supply & Assurance Technology, Anhui University, Hefei 230032, China
| | - Bing Wang
- Key Laboratory of Metallurgical Emission Reduction & Resources Recycling (Anhui University of Technology), Ministry of Education, Ma'anshan 243002, China
- School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
- Co-Innovation Center for Information Supply & Assurance Technology, Anhui University, Hefei 230032, China
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22
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Roussel R, Andonian G, Lynn W, Sanwalka K, Robles R, Hansel C, Deng A, Lawler G, Rosenzweig JB, Ha G, Seok J, Power JG, Conde M, Wisniewski E, Doran DS, Whiteford CE. Single Shot Characterization of High Transformer Ratio Wakefields in Nonlinear Plasma Acceleration. Phys Rev Lett 2020; 124:044802. [PMID: 32058730 DOI: 10.1103/physrevlett.124.044802] [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] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 11/12/2019] [Indexed: 06/10/2023]
Abstract
Plasma wakefields can enable very high accelerating gradients for frontier high energy particle accelerators, in excess of 10 GeV/m. To overcome limits on single stage acceleration, specially shaped drive beams can be used in both linear and nonlinear plasma wakefield accelerators (PWFA), to increase the transformer ratio, implying that the drive beam deceleration is minimized relative to acceleration obtained in the wake. In this Letter, we report the results of a nonlinear PWFA, high transformer ratio experiment using high-charge, longitudinally asymmetric drive beams in a plasma cell. An emittance exchange process is used to generate variable drive current profiles, in conjunction with a long (multiple plasma wavelength) witness beam. The witness beam is energy modulated by the wakefield, yielding a response that contains detailed spectral information in a single-shot measurement. Using these methods, we generate a variety of beam profiles and characterize the wakefields, directly observing transformer ratios up to R=7.8. Furthermore, a spectrally based reconstruction technique, validated by 3D particle-in-cell simulations, is introduced to obtain the drive beam current profile from the decelerating wake data.
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Affiliation(s)
- R Roussel
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - G Andonian
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - W Lynn
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - K Sanwalka
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - R Robles
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - C Hansel
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - A Deng
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - G Lawler
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J B Rosenzweig
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - G Ha
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - J Seok
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - J G Power
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - M Conde
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - E Wisniewski
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D S Doran
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - C E Whiteford
- Argonne National Laboratory, Argonne, Illinois 60439, USA
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23
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Karion A, Lauvaux T, Lopez Coto I, Sweeney C, Mueller K, Gourdji S, Angevine W, Barkley Z, Deng A, Andrews A, Stein A, Whetstone J. Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study. Atmos Chem Phys 2019; 19. [PMID: 31275365 DOI: 10.18434/t4/1503403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Greenhouse gas emissions mitigation requires understanding the dominant processes controlling fluxes of these trace gases at increasingly finer spatial and temporal scales. Trace gas fluxes can be estimated using a variety of approaches that translate observed atmospheric species mole fractions into fluxes or emission rates, often identifying the spatial and temporal characteristics of the emission sources as well. Meteorological models are commonly combined with tracer dispersion models to estimate fluxes using an inverse approach that optimizes emissions to best fit the trace gas mole fraction observations. One way to evaluate the accuracy of atmospheric flux estimation methods is to compare results from independent methods, including approaches in which different meteorological and tracer dispersion models are used. In this work, we use a rich data set of atmospheric methane observations collected during an intensive airborne campaign to compare different methane emissions estimates from the Barnett Shale oil and natural gas production basin in Texas, USA. We estimate emissions based on a variety of different meteorological and dispersion models. Previous estimates of methane emissions from this region relied on a simple model (a mass balance analysis) as well as on ground-based measurements and statistical data analysis (an inventory). We find that in addition to meteorological model choice, the choice of tracer dispersion model also has a significant impact on the predicted down-wind methane concentrations given the same emissions field. The dispersion models tested often underpredicted the observed methane enhancements with significant variability (up to a factor of 3) between different models and between different days. We examine possible causes for this result and find that the models differ in their simulation of vertical dispersion, indicating that additional work is needed to evaluate and improve vertical mixing in the tracer dispersion models commonly used in regional trace gas flux inversions.
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Affiliation(s)
- Anna Karion
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Thomas Lauvaux
- Department of Meteorology, The Pennsylvania State University, University Park, PA, USA
| | - Israel Lopez Coto
- Fire Research Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Colm Sweeney
- Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
| | - Kimberly Mueller
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sharon Gourdji
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Wayne Angevine
- Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
| | - Zachary Barkley
- Department of Meteorology, The Pennsylvania State University, University Park, PA, USA
| | | | - Arlyn Andrews
- Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
| | - Ariel Stein
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
| | - James Whetstone
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
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Karion A, Lauvaux T, Lopez Coto I, Sweeney C, Mueller K, Gourdji S, Angevine W, Barkley Z, Deng A, Andrews A, Stein A, Whetstone J. Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study. Atmos Chem Phys 2019; 19:10.5194/acp-19-2561-2019. [PMID: 31275365 PMCID: PMC6605086 DOI: 10.5194/acp-19-2561-2019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Greenhouse gas emissions mitigation requires understanding the dominant processes controlling fluxes of these trace gases at increasingly finer spatial and temporal scales. Trace gas fluxes can be estimated using a variety of approaches that translate observed atmospheric species mole fractions into fluxes or emission rates, often identifying the spatial and temporal characteristics of the emission sources as well. Meteorological models are commonly combined with tracer dispersion models to estimate fluxes using an inverse approach that optimizes emissions to best fit the trace gas mole fraction observations. One way to evaluate the accuracy of atmospheric flux estimation methods is to compare results from independent methods, including approaches in which different meteorological and tracer dispersion models are used. In this work, we use a rich data set of atmospheric methane observations collected during an intensive airborne campaign to compare different methane emissions estimates from the Barnett Shale oil and natural gas production basin in Texas, USA. We estimate emissions based on a variety of different meteorological and dispersion models. Previous estimates of methane emissions from this region relied on a simple model (a mass balance analysis) as well as on ground-based measurements and statistical data analysis (an inventory). We find that in addition to meteorological model choice, the choice of tracer dispersion model also has a significant impact on the predicted down-wind methane concentrations given the same emissions field. The dispersion models tested often underpredicted the observed methane enhancements with significant variability (up to a factor of 3) between different models and between different days. We examine possible causes for this result and find that the models differ in their simulation of vertical dispersion, indicating that additional work is needed to evaluate and improve vertical mixing in the tracer dispersion models commonly used in regional trace gas flux inversions.
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Affiliation(s)
- Anna Karion
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Thomas Lauvaux
- Department of Meteorology, The Pennsylvania State University, University Park, PA, USA
| | - Israel Lopez Coto
- Fire Research Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Colm Sweeney
- Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
| | - Kimberly Mueller
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sharon Gourdji
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Wayne Angevine
- Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
| | - Zachary Barkley
- Department of Meteorology, The Pennsylvania State University, University Park, PA, USA
| | | | - Arlyn Andrews
- Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
| | - Ariel Stein
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
| | - James Whetstone
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
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Deng A, Pattanaik S, Bhattacharya A, Yin J, Ross L, Liu C, Zhang J. Fish consumption is associated with a decreased risk of death among adults with diabetes: 18-year follow-up of a national cohort. Nutr Metab Cardiovasc Dis 2018; 28:1012-1020. [PMID: 30017435 DOI: 10.1016/j.numecd.2018.05.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [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: 01/21/2018] [Revised: 05/22/2018] [Accepted: 05/22/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND There is a paucity of studies examining the beneficial effects of fish consumption on cardiovascular diseases (CVDs) among adults with diabetes, who experience a substantially high risk of CVDs. METHODS AND RESULTS We analyzed the data of 1136 adults with diabetes mellitus aged 18 years and older who participated in the National Health and Nutrition Examination Survey, 1988-1994, and were followed up through December 31, 2010. We used Cox regression to estimate the adjusted hazard ratios (HRs) for the relative risk across the levels of fish consumption. A total of 698 deaths were recorded at the end of 11,465 person-years follow-up with a mortality rate of 60.88 per 1000 person-years. CVDs were listed as a contributing cause for 326 deaths, thus accounting for 46.4% of total deaths. Stroke-specific mortality rate among patients who ate fish less than once a week was more than twice as high as that among patients who ate fish more than twice a week, 6.23 vs. 2.36 per 1000 person-years, respectively. The corresponding CVD-specific rate was 34.38 vs. 22.99 per 1000 person-years, respectively. The adjusted HRs of death due to stroke were 1.00 (reference), 0.55 (95% confidence interval = 0.28-1.07), and 0.30 (0.11-0.80) among patients who ate fish <1, 1-2, and 2 + times a week, and the corresponding HRs of death due to CVDs were 1.00 (reference), 0.78 (0.60-1.02), and 0.69 (0.50-0.96), respectively. CONCLUSIONS A high consumption of fish was associated with a low risk of death due to CVDs, especially stroke, among adults with diabetes.
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Affiliation(s)
- A Deng
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, 30460, USA
| | - S Pattanaik
- Department of Health Education and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, 30460, USA
| | - A Bhattacharya
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, 30460, USA
| | - J Yin
- Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, 30460, USA
| | - L Ross
- The University of Alabama, Health Science, 461 Russell Hall, Box 870311, Tuscaloosa, AL, 35487, USA
| | - C Liu
- Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, 30460, USA
| | - J Zhang
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, 30460, USA.
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Li X, Deng A, Liu J, Hou W. The role of Keap1-Nrf2-ARE signal pathway in diabetic retinopathy oxidative stress and related mechanisms. Int J Clin Exp Pathol 2018; 11:3084-3090. [PMID: 31938435 PMCID: PMC6958062] [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] [Received: 02/17/2018] [Accepted: 03/24/2018] [Indexed: 06/10/2023]
Abstract
OBJECTIVE Diabetic retinopathy (DR) is one severe complication of diabetes, and involves reactive oxygen species (ROS) produced under oxidative stress (OS) conditions. Keap1-Nrf2-ARE is one important endogenous anti-OS signal pathway. This study generated a type 2 DR rat model, on which expression of Nrf2/ARE pathway related proteins were measured to investigate functional role and mechanism of Keap1-Nrf2-ARE signal pathway in DR. PATIENTS AND METHODS Using DR model rats, blood samples were collected for measuring FBG, TC, TG, HDL-C, and LDL-C for evaluating blood glucose and lipid. Retinas were collected for measuring ROS content using DCFH-DA staining, and caspase-3 activity was measured by colorimetry. Cell apoptosis was measured by flow cytometry. Keap1 and Nrf2 proteins were quantified by Western blot. Aqueous humor was collected for measuring MDA, SOD, GSH-Px, and T-AOC. RESULTS Model rats had significantly elevated blood FBG, TG, TC, and LDL-C, plus decreased HDL-C. Model rats also had higher retinal ROS content, enhanced caspase-3 activity, and potentiated apoptosis. Compared to the control group, model rats had elevated MDA and lower activity of SOD, GSH-Px, and T-AOC in aqueous humor, plus lower Keap1 and higher Nrf2 expression in retina. CONCLUSION DR rats showed significantly elevated retinal apoptosis, with prominent OS. Under diabetic conditions, activation of Keap1-Nrf2-ARE pathway may play a role in alleviating OS damage and protecting retina.
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Affiliation(s)
- Xiuyun Li
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Jianwei Liu
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical UniversityWeifang, Shandong Province, China
| | - Weikai Hou
- Department of Endocrinology, Qilu Hospital of Shandong UniversityJinan 250012, Shandong Province, China
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Tu WJ, Zeng XW, Deng A, Zhao SJ, Luo DZ, Ma GZ, Wang H, Liu Q. Circulating FABP4 (Fatty Acid-Binding Protein 4) Is a Novel Prognostic Biomarker in Patients With Acute Ischemic Stroke. Stroke 2017; 48:1531-1538. [PMID: 28487339 DOI: 10.1161/strokeaha.117.017128] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/04/2017] [Accepted: 04/10/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE FABP4 (fatty acid-binding protein 4) is an intracellular lipid chaperone involved in coordination of lipid transportation and atherogenesis. This study aimed at observing the effect of FABP4 on the 3-month outcomes in Chinese patients with acute ischemic stroke. METHODS In a prospective multicenter observational study, serum concentrations of FABP4 were on admission measured in plasma of 737 consecutive patients with acute ischemic stroke. Serum concentrations of FABP4, National Institutes of Health Stroke Scale score, and conventional risk factors were evaluated to determine their value to predict functional outcome and mortality within 3 months. RESULTS During follow-up, an unfavorable functional outcome was found in 260 patients (35.3%), and 94 patients (12.8%) died. In multivariate models comparing the third and fourth quartiles to the first quartile of FABP4, the concentrations of FABP4 were associated with poor functional outcome and mortality. Compared with the reference category (Q1-Q3), the concentrations of FABP4 in Q4 had a relative risk of 4.77 (95% confidence interval [CI], 2.02-8.15; P<0.001) for poor functional outcome and mortality (odds ratio, 6.15; 95% CI, 3.43-12.68) after adjusting for other significant outcome predictors in univariate logistic regression analysis. Receiver-operating characteristic curves to predict poor functional outcome and mortality demonstrated areas under the curve of FABP4 of 0.78 (95% CI, 0.75-0.82) and 0.83 (95% CI, 0.79-0.88), which improved the prognostic accuracy of National Institutes of Health Stroke Scale score with combined areas under the curve of 0.83 (95% CI, 0.76-0.89; P<0.01) and 0.86 (95% CI, 0.81-0.92), respectively. CONCLUSIONS Data show that FABP4 is a novel independent prognostic marker improving the currently used risk stratification of stroke patients.
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Affiliation(s)
- Wen-Jun Tu
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Xian-Wei Zeng
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Aijun Deng
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Sheng-Jie Zhao
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Ding-Zhen Luo
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Guo-Zhao Ma
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Hong Wang
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.)
| | - Qiang Liu
- From the Institute of Radiation Medicine, China Academy of Medical Science and Peking Union Medical College, Tianjin, China (W.-J.T., Q.L.); Department of Neurology, China Rehabilitation Research Center, Beijing, China (W.-J.T., S.-J.Z.); School of Rehabilitation Medicine, Capital Medical University, Beijing, China (W.-J.T., H.W.); Department of Neurosurgery, Affiliated Hospital of Weifang Medical University, China (X.-W.Z., A.D.); and Department of Neurology, Provincial Hospital of Shandong University, Jinan, China (D.-Z.L., G.-Z.M.).
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Affiliation(s)
- Xianwei Zeng
- Department of Neurosurgery, Affiliated Hospital of Weifang Medical College, Weifang, Shandong 261031, China.
| | - Aijun Deng
- Department of Neurosurgery, Affiliated Hospital of Weifang Medical College, Weifang, Shandong 261031, China
| | - Yi Ding
- Department of Neurosurgery, Affiliated Hospital of Weifang Medical College, Weifang, Shandong 261031, China
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Davis KJ, Deng A, Lauvaux T, Miles NL, Richardson SJ, Sarmiento DP, Gurney KR, Hardesty RM, Bonin TA, Brewer WA, Lamb BK, Shepson PB, Harvey RM, Cambaliza MO, Sweeney C, Turnbull JC, Whetstone J, Karion A. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements. Elementa (Wash D C) 2017; 5:10.1525/elementa.188. [PMID: 30997362 PMCID: PMC6463536 DOI: 10.1525/elementa.188] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The objective of the Indianapolis Flux Experiment (INFLUX) is to develop, evaluate and improve methods for measuring greenhouse gas (GHG) emissions from cities. INFLUX's scientific objectives are to quantify CO2 and CH4 emission rates at 1 km resolution with a 10% or better accuracy and precision, to determine whole-city emissions with similar skill, and to achieve high (weekly or finer) temporal resolution at both spatial resolutions. The experiment employs atmospheric GHG measurements from both towers and aircraft, atmospheric transport observations and models, and activity-based inventory products to quantify urban GHG emissions. Multiple, independent methods for estimating urban emissions are a central facet of our experimental design. INFLUX was initiated in 2010 and measurements and analyses are ongoing. To date we have quantified urban atmospheric GHG enhancements using aircraft and towers with measurements collected over multiple years, and have estimated whole-city CO2 and CH4 emissions using aircraft and tower GHG measurements, and inventory methods. Significant differences exist across methods; these differences have not yet been resolved; research to reduce uncertainties and reconcile these differences is underway. Sectorally- and spatially-resolved flux estimates, and detection of changes of fluxes over time, are also active research topics. Major challenges include developing methods for distinguishing anthropogenic from biogenic CO2 fluxes, improving our ability to interpret atmospheric GHG measurements close to urban GHG sources and across a broader range of atmospheric stability conditions, and quantifying uncertainties in inventory data products. INFLUX data and tools are intended to serve as an open resource and test bed for future investigations. Well-documented, public archival of data and methods is under development in support of this objective.
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Affiliation(s)
- Kenneth J. Davis
- Department of Meteorology and Atmospheric Science and the Earth and Environmental Sciences Institute, The Pennsylvania State University, University Park, Pennsylvania, US
| | - Aijun Deng
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, US
| | - Thomas Lauvaux
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, US
| | - Natasha L. Miles
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, US
| | - Scott J. Richardson
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, US
| | - Daniel P. Sarmiento
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, US
| | - Kevin R. Gurney
- School of Life Sciences, Arizona State University, Tempe, Arizona, US
| | - R. Michael Hardesty
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, US
- NOAA Earth Systems Research Laboratory, Boulder, Colorado, US
| | - Timothy A. Bonin
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, US
- NOAA Earth Systems Research Laboratory, Boulder, Colorado, US
| | - W. Alan Brewer
- NOAA Earth Systems Research Laboratory, Boulder, Colorado, US
| | - Brian K. Lamb
- Laboratory for Atmospheric Research, Washington State University, Pullman, Washington, US
| | - Paul B. Shepson
- Department of Chemistry and Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana, US
| | - Rebecca M. Harvey
- Department of Chemistry, Purdue University, West Lafayette, Indiana, US
| | | | - Colm Sweeney
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, US
- NOAA Earth Systems Research Laboratory, Boulder, Colorado, US
| | - Jocelyn C. Turnbull
- GNS Science, Rafter Radiocarbon Laboratory, Lower Hutt, NZ
- Cooperative Institute of Research in Environmental Sciences, University of Colorado, Boulder, Colorado, US
| | - James Whetstone
- National Institute of Standards and Technology, Gaithersburg, Maryland, US
| | - Anna Karion
- National Institute of Standards and Technology, Gaithersburg, Maryland, US
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30
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Zeng X, Deng A, Ding Y, Ni Y, Xu T, Liu J, Yang B, Gao M, Ma G, Ding W, Mu L. Copeptin and NT-proBNP as Prognostic Markers for Recurrent Ischemic Cerebrovascular Events in Ischemic Stroke Patients. J Am Coll Cardiol 2016; 68:2710-2711. [DOI: 10.1016/j.jacc.2016.09.954] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/08/2016] [Accepted: 09/27/2016] [Indexed: 10/20/2022]
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Liu J, Sun J, Diao Y, Deng A. Association of Electroencephalography (EEG) Power Spectra with Corneal Nerve Fiber Injury in Retinoblastoma Patients. Med Sci Monit 2016; 22:3135-9. [PMID: 27592207 PMCID: PMC5021016 DOI: 10.12659/msm.897050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background In our clinical experience we discovered that EEG band power may be correlated with corneal nerve injury in retinoblastoma patients. This study aimed to investigate biomarkers obtained from electroencephalography (EEG) recordings to reflect corneal nerve injury in retinoblastoma patients. Material/Methods Our study included 20 retinoblastoma patients treated at the Department of Ophthalmology, Affiliated Hospital of Weifang Medical University between 2010 and 2014. Twenty normal individuals were included in the control group. EEG activity was recorded continuously with 32 electrodes using standard EEG electrode placement for detecting EEG power. A cornea confocal microscope was used to examine corneal nerve injury in retinoblastoma patients and normal individuals. Spearman rank correlation analysis was used to analyze the correlation between corneal nerve injury and EEG power changes. The sensitivity and specificity of changed EEG power in diagnosis of corneal nerve injury were also analyzed. Results The predominantly slow EEG oscillations changed gradually into faster waves in retinoblastoma patients. The EEG pattern in retinoblastoma patients was characterized by a distinct increase of delta (P<0.01) and significant decrease of theta power P<0.05). Corneal nerves were damaged in corneas of retinoblastoma patients. Corneal nerve injury was positively correlated with delta EEG spectra power and negatively correlated with theta EEG spectra power. The diagnostic sensitivity and specificity by compounding in the series were 60% and 67%, respectively. Conclusions Changes in delta and theta of EEG appear to be associated with occurrence of corneal nerve injury. Useful information can be provided for evaluating corneal nerve damage in retinoblastoma patients through analyzing EEG power bands.
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Affiliation(s)
- Jianliang Liu
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China (mainland)
| | - Juanjuan Sun
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China (mainland)
| | - Yumei Diao
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China (mainland)
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China (mainland)
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Lauvaux T, Miles NL, Deng A, Richardson SJ, Cambaliza MO, Davis KJ, Gaudet B, Gurney KR, Huang J, O'Keefe D, Song Y, Karion A, Oda T, Patarasuk R, Razlivanov I, Sarmiento D, Shepson P, Sweeney C, Turnbull J, Wu K. High-resolution atmospheric inversion of urban CO 2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX). J Geophys Res Atmos 2016; 121:5213-5236. [PMID: 32818124 PMCID: PMC7430513 DOI: 10.1002/2015jd024473] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Based on a uniquely dense network of surface towers measuring continuously the atmospheric concentrations of greenhouse gases (GHGs), we developed the first comprehensive monitoring systems of CO2 emissions at high resolution over the city of Indianapolis. The urban inversion evaluated over the 2012-2013 dormant season showed a statistically significant increase of about 20% (from 4.5 to 5.7 MtC ± 0.23 MtC) compared to the Hestia CO2 emission estimate, a state-of-the-art building-level emission product. Spatial structures in prior emission errors, mostly undetermined, appeared to affect the spatial pattern in the inverse solution and the total carbon budget over the entire area by up to 15%, while the inverse solution remains fairly insensitive to the CO2 boundary inflow and to the different prior emissions (i.e., ODIAC). Preceding the surface emission optimization, we improved the atmospheric simulations using a meteorological data assimilation system also informing our Bayesian inversion system through updated observations error variances. Finally, we estimated the uncertainties associated with undetermined parameters using an ensemble of inversions. The total CO2 emissions based on the ensemble mean and quartiles (5.26-5.91 MtC) were statistically different compared to the prior total emissions (4.1 to 4.5 MtC). Considering the relatively small sensitivity to the different parameters, we conclude that atmospheric inversions are potentially able to constrain the carbon budget of the city, assuming sufficient data to measure the inflow of GHG over the city, but additional information on prior emission error structures are required to determine the spatial structures of urban emissions at high resolution.
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Affiliation(s)
- Thomas Lauvaux
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
- NASA Jet Propulsion Laboratory, Pasadena, California, USA
| | - Natasha L Miles
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Aijun Deng
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Scott J Richardson
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Maria O Cambaliza
- Department of Physics, Ateneo de Manila University, Quezon City, Philippines
- Manila Observatory, Ateneo de Manila Campus, Quezon City, Philippines
| | - Kenneth J Davis
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Brian Gaudet
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Kevin R Gurney
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Jianhua Huang
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Darragh O'Keefe
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Yang Song
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Anna Karion
- CIRES, University of Colorado Boulder, Boulder, Colorado, USA
| | - Tomohiro Oda
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
- Goddard Earth Sciences Technologies and Research, Universities Space Research Association, Columbia, Maryland, USA
| | - Risa Patarasuk
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Igor Razlivanov
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Daniel Sarmiento
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Paul Shepson
- Department of Chemistry, Purdue University, West Lafayette, Indiana, USA
| | - Colm Sweeney
- CIRES, University of Colorado Boulder, Boulder, Colorado, USA
| | - Jocelyn Turnbull
- Department of Chemistry, Purdue University, West Lafayette, Indiana, USA
- NOAA Earth System Research Laboratory, Boulder, Colorado, USA
- National Isotope Centre, GNS Science, Lower Hutt, New Zealand
| | - Kai Wu
- Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania, USA
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Xia R, Chen S, Zhang W, Chen Y, Zhu R, Deng A. A 39-gene signature is associated with early occurrence of distant metastasis in primary lymph-node negative breast cancers. Neoplasma 2015; 62:821-6. [PMID: 26278156 DOI: 10.4149/neo_2015_099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Risk factors of the development of distant metastasis in primary node-negative breast cancer patients are heterogeneous. Identification of patients at high risk of early distant metastasis is of important clinical significance. In the current study, using the already published datasets, we develop a gene signature that can robustly predict early distant metastasis for patients with primary node-negative breast cancer. We identified a 39-gene signature, which were associated with distant metastasis and shorter distant metastasis free survival (DMFS) in node-negative breast cancers. Using the survival prediction analysis method in BRB-Array tools, this signature can stratify patients into early- and late- distant metastasis subgroups with different DMFS in VDX training dataset (AUC=0.734, P < 0.01). And we further validated the reliability of the prognostic value of this 39-gene signature in another two independent breast cancer cohorts (NKI dataset, AUC=0.642, P<0.0167; TRANSBIG dataset, AUC=0.711, P<0.0167). Furthermore, the early distant metastasis subgroups defined by the 39-gene signature exhibited a significant association with ER negative status and more aggressive molecular subtypes in all three datasets, and with poor differentiation status in two datasets. In summary, we developed a novel distant metastasis-related gene signature for predicting early occurrence of distant metastasis in node-negative breast cancers, what might be useful in making treatment decisions for these early metastasis patients.
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Karion A, Sweeney C, Kort EA, Shepson PB, Brewer A, Cambaliza M, Conley SA, Davis K, Deng A, Hardesty M, Herndon SC, Lauvaux T, Lavoie T, Lyon D, Newberger T, Pétron G, Rella C, Smith M, Wolter S, Yacovitch TI, Tans P. Aircraft-Based Estimate of Total Methane Emissions from the Barnett Shale Region. Environ Sci Technol 2015; 49:8124-31. [PMID: 26148550 DOI: 10.1021/acs.est.5b00217] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
We present estimates of regional methane (CH4) emissions from oil and natural gas operations in the Barnett Shale, Texas, using airborne atmospheric measurements. Using a mass balance approach on eight different flight days in March and October 2013, the total CH4 emissions for the region are estimated to be 76 ± 13 × 10(3) kg hr(-1) (equivalent to 0.66 ± 0.11 Tg CH4 yr(-1); 95% confidence interval (CI)). We estimate that 60 ± 11 × 10(3) kg CH4 hr(-1) (95% CI) are emitted by natural gas and oil operations, including production, processing, and distribution in the urban areas of Dallas and Fort Worth. This estimate agrees with the U.S. Environmental Protection Agency (EPA) estimate for nationwide CH4 emissions from the natural gas sector when scaled by natural gas production, but it is higher than emissions reported by the EDGAR inventory or by industry to EPA's Greenhouse Gas Reporting Program. This study is the first to show consistency between mass balance results on so many different days and in two different seasons, enabling better quantification of the related uncertainty. The Barnett is one of the largest production basins in the United States, with 8% of total U.S. natural gas production, and thus, our results represent a crucial step toward determining the greenhouse gas footprint of U.S. onshore natural gas production.
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Affiliation(s)
- Anna Karion
- †University of Colorado, CIRES, Boulder, Colorado 80309, United States
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Colm Sweeney
- †University of Colorado, CIRES, Boulder, Colorado 80309, United States
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Eric A Kort
- §University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Paul B Shepson
- ∥Purdue University, West Lafayette, Indiana 47907, United States
| | - Alan Brewer
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Maria Cambaliza
- ∥Purdue University, West Lafayette, Indiana 47907, United States
| | - Stephen A Conley
- ⊥University of California, Davis, Davis, California 95616, United States
| | - Ken Davis
- #Carbon Now Cast, LLC, State College, Pennsylvania 16803, United States
| | - Aijun Deng
- #Carbon Now Cast, LLC, State College, Pennsylvania 16803, United States
| | - Mike Hardesty
- †University of Colorado, CIRES, Boulder, Colorado 80309, United States
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Scott C Herndon
- ∇Aerodyne Research, Inc., Billerica, Massachusetts 01821, United States
| | - Thomas Lauvaux
- #Carbon Now Cast, LLC, State College, Pennsylvania 16803, United States
| | - Tegan Lavoie
- ∥Purdue University, West Lafayette, Indiana 47907, United States
| | - David Lyon
- ○Environmental Defense Fund, Austin, Texas 78701, United States
| | - Tim Newberger
- †University of Colorado, CIRES, Boulder, Colorado 80309, United States
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Gabrielle Pétron
- †University of Colorado, CIRES, Boulder, Colorado 80309, United States
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Chris Rella
- ◆Picarro, Inc., Santa Clara, California 95054, United States
| | - Mackenzie Smith
- §University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Sonja Wolter
- †University of Colorado, CIRES, Boulder, Colorado 80309, United States
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
| | - Tara I Yacovitch
- ∇Aerodyne Research, Inc., Billerica, Massachusetts 01821, United States
| | - Pieter Tans
- ‡NOAA Earth System Research Laboratory, Boulder 80305, Colorado, United States
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Chen Q, Chong T, Yin J, Luo P, Deng A. Molecular events are associated with resistance to vinblastine in bladder cancer. Cell Mol Biol (Noisy-le-grand) 2015; 61:33-38. [PMID: 26025399] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 04/17/2015] [Indexed: 06/04/2023]
Abstract
Bladder cancer occurs in the majority of cases in males, which represents the fourth highest incident cancer in men and tenth in women. It is associated with a high rate of recurrence, and prognosis is poor once the cancer metastasizes to distant sites. Transitional cell cancer (TCC) is the most predominant histological type. Bladder cancer is highly chemosensitive. However, the presence of acquired drug resistance is one of the primary impediments to the success of chemotherapy. To differentiate and delineate the molecular events, we developed drug resistant human transitional bladder cancer T24 cells (DRC) by treating cells with the increasing concentration of vinblastine. We found that DRC was resistant to vinblastine in comparison to parental T24 cells. We analyzed the contributory factors that may be involved in the development of resistance. As expected, expression of permeability glycoprotein (P—gp) was up—regulated in DRC. In addition, levels of Caveolin—1 (Cav—1), Fatty acid synthase (FASN) and Cytochrome P450 (CYP450) were elevated in DRC. Downregulation of these proteins by respective specific pharmacological inhibitors and/or by siRNAs resensitized cells to vinblastine. These results suggested that differential levels of P—gp, Cav—1 and FASN except CYP450 play a major role in acquired resistant phenotype in bladder cancer.
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Affiliation(s)
- Q Chen
- The Second Affiliated Hospital of Xi'an Jiaotong University Department of Urology Xi'an China
| | - T Chong
- The Second Affiliated Hospital of Xi'an Jiaotong University Department of Urology Xi'an China
| | - J Yin
- Xinhua hospital, Shanghai Jiao Tong University Shanghai Key Laboratory of Children's Environmental Health Shanghai China
| | - P Luo
- Shanghai Topgen Bio—pharm Co.Ltd Shanghai China
| | - A Deng
- Changhai Hospital Affiliated to the Second Military Medical University Department of Laboratory Diagnosis Shanghai China denganmei@yeah.net
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Bao Y, Gu D, Feng W, Sun X, Wang X, Zhang X, Shi Q, Cui G, Yu H, Tang C, Deng A. COUP-TFII regulates metastasis of colorectal adenocarcinoma cells by modulating Snail1. Br J Cancer 2014; 111:933-43. [PMID: 25032732 PMCID: PMC4150277 DOI: 10.1038/bjc.2014.373] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 04/26/2014] [Accepted: 05/29/2014] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Chicken ovalbumin upstream promoter-transcription factor II (COUP-TFII, also known as NR2F2) promotes metastasis by functioning in the tumour microenvironment; however, the role of COUP-TFII in colorectal cancer remains unknown. METHODS Human colon adenocarcinoma tissues were collected to test COUP-TFII expression. Wound-healing and cell invasion assay were used to evaluate migration and invasion of cells. Chicken ovalbumin upstream promoter-transcription factor II and related protein expression was assessed by immunostaining, immunoblotting and real-time PCR assay. Tamoxifen-inducible COUP-TFII knockout mice were employed to test COUP-TFII functions on colon cancer metastasis in vivo. RESULTS Elevated expression of COUP-TFII in colorectal adenocarcinoma tissue correlated with overexpression of the Snail1 transcription factor. High COUP-TFII expression correlated with metastasis and shorter patient survival. Chicken ovalbumin upstream promoter-transcription factor II regulated the migration and invasion of cancer cells. With Snail1, COUP-TFII inhibited expression of adherence molecules such as ZO-1, E-cadherin and β-catenin in colorectal cancer cells. Overexpression of COUP-TFII was required for cancer cells to metastasise in vivo. Chicken ovalbumin upstream promoter-transcription factor II regulated the transcription and expression of Snail1 by directly targeting the Snail1 promoter and regulated associated genes. CONCLUSIONS Chicken ovalbumin upstream promoter-transcription factor II was crucial for colorectal cancer metastasis and regulated cell migration and metastasis in conjunction with Snail1. Chicken ovalbumin upstream promoter-transcription factor II was found to be a biomarker associated with patient survival and colorectal cancer metastasis.
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Affiliation(s)
- Y Bao
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - D Gu
- Huzhou Central Hospital, Huzhou 313000, China
| | - W Feng
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - X Sun
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - X Wang
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - X Zhang
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - Q Shi
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - G Cui
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - H Yu
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - C Tang
- First Affiliated Hospital, Huzhou Teachers College, the First People's Hospital of Huzhou, Huzhou 313000, China
| | - A Deng
- Department of Laboratory Diagnostic, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
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Levin NA, Rivard J, Yasuda M, McMullen K, Deng A. Follicular papules and pustules of the central face in a 40-year-old man. Clin Exp Dermatol 2014; 39:259-61. [PMID: 24450807 DOI: 10.1111/ced.12263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2013] [Indexed: 11/26/2022]
Affiliation(s)
- N A Levin
- UMass Memorial Health Care, Worcester, MA, USA; Division of Dermatology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
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Liu J, Wang F, Wu D, Wang Y, Deng A. Effects of Anthopleurin-Q on the Intracellular Free Ca2+ Concentration in Cultured Rat Cortical Neurons. Drug Res (Stuttg) 2014; 64:436-41. [PMID: 24421072 DOI: 10.1055/s-0033-1361125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- J. Liu
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - F. Wang
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - D. Wu
- Department of Urinary Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y. Wang
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - A. Deng
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Zhang J, Yuan WH, Deng K, Deng A, Xu ZT, Qin CB, Lu ZH, Luo J. A long-term frequency stabilized deep ultraviolet laser for Mg+ ions trapping experiments. Rev Sci Instrum 2013; 84:123109. [PMID: 24387422 DOI: 10.1063/1.4847135] [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] [Indexed: 06/03/2023]
Abstract
As many precision laser spectroscopy experiments require frequency stabilized lasers, development of long-term stabilized lasers is of great interest. In this work, we report long-term frequency stabilization of a 280 nm deep ultraviolet laser to a high precision wavemeter with digital servo control such that the long-term drift of the laser frequency was greatly reduced. Long-term laser frequency drift was measured with a fiber frequency comb system over 8 h. After locking, the maximum drift rate of the 280 nm laser was lowered from 576 MHz/h to 6.4 MHz/h. With proper environment control of the wavemeter, the maximum drift rate of the 280 nm laser was further lowered to less than 480 kHz/h. The locked laser system was successfully used in a Mg(+) ions trapping experiment, which was also discussed in this work.
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Affiliation(s)
- J Zhang
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - W H Yuan
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - K Deng
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - A Deng
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Z T Xu
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - C B Qin
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Z H Lu
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - J Luo
- MOE Key Laboratory of Fundamental Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
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Albino‐Rodriguez EM, Katsuya T, Deng A, Dutil J. DNA‐nuclear protein interactions around‐224 A/G Single Nucleotide Polymorphism in the Neuropeptide Receptor Y2 (
NPY2R
) Gene in Predisposition to Hypertension. FASEB J 2013. [DOI: 10.1096/fasebj.27.1_supplement.975.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - T Katsuya
- Geriatric MedicineOsaka University Graduate School of MedicineOsakaJapan
| | - A Deng
- Molecular Genetics LaboratoryUniversity of Montreal Research Center CHUMMontrealQCCanada
| | - J Dutil
- BiochemistryPonce School of MedicinePoncePR
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Janko M, Ontiveros F, Fitzgerald T, Deng A, DeCicco M, Rock K. IL-1 Generated Subsequent to Radiation-induced Tissue Injury Contributes to the Pathogenesis of Radiodermatitis. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.1813] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Qin Q, Sun Y, Fei M, Zhang J, Jia Y, Gu M, Xia R, Chen S, Deng A. Expression of putative stem marker nestin and CD133 in advanced serous ovarian cancer. Neoplasma 2012; 59:310-5. [PMID: 22296500 DOI: 10.4149/neo_2012_040] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
It is hypothesized that "cancer stem cells" are responsible for the resistance to chemotherapy of cancer cells in ovarian cancers. The objective of the studies was to explore if the stem cell biomarkers could be used to predict the tumor chemotherapy-resistance in serous ovarian cancer patients. Expression of two putative stem cell markers CD133 and nestin, and vascular epithelial growth factor (VEGF) and epidermal growth factor receptor (EGFR) were detected in 123 cases of advanced serous ovarian cancer specimens by immunohistochemistry. To estimate intra-tumoral microvessel density (MVD), CD34 immunostaining was also performed. CD133 and nestin were defined to be positive in 35.0% and 32.5% of the serous ovarian carcinoma tissues, respectively. It was observed that overexpression of nestin but not CD133 was associated with the cisplatin-based chemotherapy resistance and shorter overall survival of the patients, and nestin was found to be an independent prognostic factor. Moreover, positive nestin expression also correlated to increased expression of EGFR and VEGF, and elevated MVD in tumors. The results of this study suggest that serous ovarian cancers with high expression level of nestin represent an aggressive malignant phenotype associated with poor prognosis, and treatment targeted the nestin positive cancer cells might be a promising therapeutic strategy for this subgroups.
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Affiliation(s)
- Q Qin
- Department of Transfusion, Huashan Hospital, Fudan University, Shanghai, China
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Perez-Pomares JM, Ruiz-Villalba A, Ziogas A, Segovia JC, Ehrbar M, Munoz-Chapuli R, De La Rosa A, Dominguez JN, Hove-Madsen L, Sankova B, Sedmera D, Franco D, Aranega Jimenez A, Babaeva G, Chizh N, Galchenko S, Sandomirsky B, Schwarzl M, Seiler S, Steendijk P, Huber S, Maechler H, Truschnig-Wilders M, Pieske B, Post H, Simrick S, Kreutzer R, Rao C, Terracciano CM, Kirchhof P, Fabritz L, Brand T, Theveniau-Ruissy M, Parisot P, Francou A, Saint-Michel E, Mesbah K, Kelly RG, Wu HT, Sie SS, Chen CY, Kuan TC, Lin CS, Ismailoglu Z, Guven M, Yakici A, Ata Y, Ozcan S, Yildirim E, Ongen Z, Miroshnikova V, Demina E, Rodygina T, Kurjanov P, Denisenko A, Schwarzman A, Rubanenko A, Shchukin Y, Germanov A, Goldbergova M, Parenica J, Lipkova J, Pavek N, Kala P, Poloczek M, Vasku A, Parenicova I, Spinar J, Gambacciani C, Chiavacci E, Evangelista M, Vesentini N, Kusmic C, Pitto L, Chernova A, Nikulina SUY, Arvanitis DA, Mourouzis I, Pantos C, Kranias EG, Cokkinos DV, Sanoudou D, Vladimirskaya TE, Shved IA, Kryvorot SG, Schirmer IM, Appukuttan A, Pott L, Jaquet K, Ladilov Y, Archer CR, Bootman MD, Roderick HL, Fusco A, Sorriento D, Santulli G, Trimarco B, Iaccarino G, Hagenmueller M, Riffel J, Gatzoulis MA, Stoupel EG, Garcia R, Merino D, Montalvo C, Hurle MA, Nistal JF, Villar AV, Perez-Moreno A, Gilabert R, Bernhold E, Ros E, Amat-Roldan I, Katus HA, Hardt SE, Maqsood A, Zi M, Prehar S, Neyses L, Ray S, Oceandy D, Khatami N, Wadowski P, Wagh V, Hescheler J, Sachinidis A, Mohl W, Chaudhry B, Burns D, Henderson DJ, Bax NAM, Van Marion MH, Shah B, Goumans MJ, Bouten CVC, Van Der Schaft DWJ, Bax NAM, Van Oorschot AAM, Maas S, Braun J, Van Tuyn J, De Vries AAF, Gittenberger-De Groot AC, Goumans MJ, Bageghni S, Drinkhill MJ, Batten TFC, Ainscough JFX, Onate B, Vilahur G, Ferrer-Lorente R, Ybarra J, Diez-Caballero A, Ballesta-Lopez C, Moscatiello F, Herrero J, Badimon L, Martin-Rendon E, Clifford DM, Fisher SA, Brusnkill SJ, Doree C, Mathur A, Clarke M, Watt SM, Hernandez-Vera R, Badimon L, Kavanagh D, Yemm AI, Frampton J, Kalia N, Terajima Y, Shimizu T, Tsuruyama S, Ishii H, Sekine H, Hagiwara N, Okano T, Vrijsen KR, Chamuleau SAJ, Sluijter JPG, Doevendans PFM, Madonna R, Delli Pizzi S, Di Donato L, Mariotti A, Di Carlo L, D'ugo E, Teberino MA, Merla A, T A, De Caterina R, Kolker L, Ali NN, Maclellan K, Moore M, Wheeler J, Harding SE, Fleck RA, Rowlinson JM, Kraenkel N, Ascione R, Madeddu P, O'sullivan JF, Leblond AL, Kelly G, Kumar AHS, Metharom P, Buneker CK, Alizadeh-Vikali N, Hynes BG, O'connor R, Caplice NM, Noseda M, De Smith AJ, Leja T, Rao PH, Al-Beidh F, Abreu Pavia MS, Blakemore AI, Schneider MD, Stathopoulou K, Cuello F, Ehler E, Haworth RS, Avkiran M, Morawietz H, Eickholt C, Langbein H, Brux M, Goettsch C, Goettsch W, Arsov A, Brunssen C, Mazilu L, Parepa IR, Suceveanu AI, Suceveanu AP, De Man FS, Guignabert C, Tu L, Handoko ML, Schalij I, Fadel E, Postmus PE, Vonk-Noordegraaf A, Humbert M, Eddahibi S, Sorriento D, Santulli G, Del Giudice C, Anastasio A, Trimarco B, Iaccarino G, Fazal L, Azibani F, Bihry N, Merval R, Polidano E, Samuel JL, Delcayre C, Zhang Y, Mi YM, Ren LL, Cheng YP, Guo R, Liu Y, Jiang YN, Mourouzis I, Pantos C, Kokkinos AD, Cokkinos DV, Tretjakovs P, Jurka A, Bormane I, Mikelsone I, Reihmane D, Elksne K, Krievina G, Verbovenko J, Bahs G, Lopez-Andres N, Rousseau A, Calvier L, Akhtar R, Labat C, Cruickshank K, Diez J, Zannad F, Lacolley P, Rossignol P, Hamesch K, Subramanian P, Li X, Thiemann A, Heyll K, Dembowsky K, Chevalier E, Weber C, Schober A, Yang L, Kim G, Gardner B, Earley J, Hofmann-Bowman M, Cheng CF, Lian WS, Lin H, Jinjolia NJ, Abuladze GA, Tvalchrelidze SHT, Khamnagadaev I, Shkolnikova M, Kokov L, Miklashevich I, Drozdov I, Ilyich I, Bingen BO, Askar SFA, Ypey DL, Van Der Laarse A, Schalij MJ, Pijnappels DA, Roney CH, Ng FS, Chowdhury RA, Chang ETY, Patel PM, Lyon AR, Siggers JH, Peters NS, Obergrussberger A, Stoelzle S, Bruggemann A, Haarmann C, George M, Fertig N, Moreira D, Souza A, Valente P, Kornej J, Reihardt C, Kosiuk J, Arya A, Hindricks G, Adams V, Husser D, Bollmann A, Camelliti P, Dudhia J, Dias P, Cartledge J, Connolly DJ, Terracciano CM, Nobles M, Sebastian S, Tinker A, Opel A, Tinker A, Daimi H, Haj Khelil A, Be Chibani J, Barana A, Amoros I, Gonzalez De La Fuente M, Caballero R, Aranega A, Franco D, Kelly A, Bernus O, Kemi OJ, Myles RC, Ghouri IA, Burton FL, Smith GL, Del Lungo M, Sartiani L, Spinelli V, Baruscotti M, Difrancesco D, Mugelli A, Cerbai E, Thomas AM, Aziz Q, Khambra T, Tinker A, Addlestone JMA, Cartwright EJ, Wilkinson R, Song W, Marston S, Jacquet A, Mougenot NM, Lipskaia AJ, Paalberends ER, Stam K, Van Dijk SJ, Van Slegtenhorst M, Dos Remedios C, Ten Cate FJ, Michels M, Niessen HWM, Stienen GJM, Van Der Velden J, Read MI, Andreianova AA, Harrison JC, Goulton CS, Kerr DS, Sammut IA, Schwarzl M, Seiler S, Wallner M, Huber S, Steendijk P, Maechler H, Truschnig-Wilders M, Von Lewinski D, Pieske B, Post H, Kindsvater D, Saes M, Morano I, Muegge A, Jaquet K, Buyandelger B, Kostin S, Gunkel S, Vouffo J, Ng K, Chen J, Eilers M, Isaacson R, Milting H, Knoell R, Cattin ME, Crocini C, Schlossarek S, Maron S, Hansen A, Eschenhagen T, Carrier L, Bonne G, Coppini R, Ferrantini C, Olivotto I, Del Lungo M, Belardinelli L, Poggesi C, Mugelli A, Cerbai E, Leung MC, Messer AE, Copeland O, Marston SB, Mills AM, Collins T, O'gara P, Thum T, Regalla K, Lyon AR, Macleod KT, Harding SE, Rao C, Prodromakis T, Chaudhry U, Darzi A, Yacoub MH, Athanasiou T, Terracciano CM, Bogdanova A, Makhro A, Hoydal M, Stolen TO, Johnssen AB, Alves M, Catalucci D, Condorelli G, Koch LG, Britton SL, Smith GL, Wisloff U, Bito V, Claus P, Vermeulen K, Huysmans C, Ventura-Clapier R, Sipido KR, Seliuk MN, Burlaka AP, Sidorik EP, Khaitovych NV, Kozachok MM, Potaskalova VS, Driesen RB, Galan DT, Vermeulen K, Claus P, Sipido KR, De Paulis D, Arnoux T, Schaller S, Pruss RM, Poitz DM, Augstein A, Braun-Dullaeus RC, Schmeisser A, Strasser RH, Micova P, Balkova P, Hlavackova M, Zurmanova J, Kasparova D, Kolar F, Neckar J, Novak F, Novakova O, Pollard S, Babba M, Hussain A, James R, Maddock H, Alshehri AS, Baxter GF, Dietel B, Altendorf R, Daniel WG, Kollmar R, Garlichs CD, Sirohi R, Roberts N, Lawrence D, Sheikh A, Kolvekar S, Yap J, Arend M, Walkinshaw G, Hausenloy DJ, Yellon DM, Posa A, Szabo R, Szalai Z, Szablics P, Berko MA, Orban K, Murlasits ZS, Balogh L, Varga C, Ku HC, Su MJ, Chreih RM, Ginghina C, Deleanu D, Ferreira ALBJ, Belal A, Ali MA, Fan X, Holt A, Campbell R, Schulz R, Bonanad C, Bodi V, Sanchis J, Morales JM, Marrachelli V, Nunez J, Forteza MJ, Chaustre F, Gomez C, Chorro FJ, Csont T, Fekete V, Murlasits Z, Aypar E, Bencsik P, Sarkozy M, Varga ZV, Ferdinandy P, Duerr GD, Zoerlein M, Dewald D, Mesenholl B, Schneider P, Ghanem A, Rittling S, Welz A, Dewald O, Duerr GD, Dewald D, Becker E, Peigney C, Ghanem A, Welz A, Dewald O, Bouleti C, Galaup A, Monnot C, Ghaleh B, Germain S, Timmermans A, Ginion A, De Meester C, Sakamoto K, Vanoverschelde JL, Horman S, Beauloye C, Bertrand L, Maroz-Vadalazhskaya N, Drozd E, Kukharenko L, Russkich I, Krachak D, Seljun Y, Ostrovski Y, Martin AC, Le Bonniec B, Lecompte T, Dizier B, Emmerich J, Fischer AM, Samama CM, Godier A, Mogensen S, Furchtbauer EM, Aalkjaer C, Choong WL, Jovanovic A, Khan F, Daniel JM, Dutzmann JM, Widmer-Teske R, Guenduez D, Sedding D, Castro MM, Cena JJC, Cho WJC, Goobie GG, Walsh MPW, Schulz RS, Daniel JM, Dutzmann J, Widmer-Teske R, Preissner KT, Sedding D, Aziz Q, Khambra T, Sones W, Thomas AM, Kotlikoff M, Tinker A, Serizawa K, Yogo K, Aizawa K, Hirata M, Tashiro Y, Ishizuka N, Varela A, Katsiboulas M, Tousoulis D, Papaioannou TG, Vaina S, Davos CH, Piperi C, Stefanadis C, Basdra EK, Papavassiliou AG, Hermenegildo C, Lazaro-Franco M, Sobrino A, Bueno-Beti C, Martinez-Gil N, Walther T, Peiro C, Sanchez-Ferrer CF, Novella S, Ciccarelli M, Franco A, Sorriento D, Del Giudice C, Dorn GW, Trimarco B, Iaccarino G, Cseplo P, Torok O, Springo ZS, Vamos Z, Kosa D, Hamar J, Koller A, Bubb KJ, Ahluwalia A, Stepien EL, Gruca A, Grzybowska J, Goralska J, Dembinska-Kiec A, Stepien EL, Stolinski J, Grzybowska J, Goralska J, Partyka L, Gruca A, Dembinska-Kiec A, Zhang H, Sweeney D, Thomas GN, Fish PV, Taggart DP, Watt SM, Martin-Rendon E, Cioffi S, Bilio M, Martucciello S, Illingworth E, Caporali A, Shantikumar S, Marchetti M, Martelli F, Emanueli C, Marchetti M, Meloni M, Caporali A, Al Haj Zen A, Sala-Newby G, Emanueli C, Del Turco S, Saponaro C, Dario B, Sartini S, Menciassi A, Dario P, La Motta C, Basta G, Santiemma V, Bertone C, Rossi F, Michelon E, Bianco MJ, Castelli A, Shin DI, Seung KB, Seo SM, Park HJ, Kim PJ, Baek SH, Shin DI, Seung KB, Seo SM, Park HJ, Choi YS, Her SH, Kim DB, Kim PJ, Lee JM, Park CS, Rocchiccioli S, Cecchettini A, Pelosi G, Kusmic C, Citti L, Parodi O, Trivella MG, Michel-Monigadon D, Burger F, Dunoyer-Geindre S, Pelli G, Cravatt B, Steffens S, Didangelos A, Mayr U, Yin X, Stegemann C, Shalhoub J, Davies AH, Monaco C, Mayr M, Lypovetska S, Grytsenko S, Njerve IU, Pettersen AA, Opstad TB, Bratseth V, Arnesen H, Seljeflot I, Dumitriu IE, Baruah P, Antunes RF, Kaski JC, Forteza MJ, Bodi V, Trapero I, Benet I, Alguero C, Chaustre FJ, Gomez C, Sanchis J, Chorro FJ, Mangold A, Puthenkalam S, Distelmaier K, Adlbrecht C, Preissner KT, Lang IM, Koizumi T, Inoue I, Komiyama N, Nishimura S, Korneeva ON, Drapkina OM, Fornai L, Angelini A, Kiss A, Giskes F, Eijkel G, Fedrigo M, Valente ML, Thiene G, Heeren RMA, Vilahur G, Padro T, Casani L, Suades R, Badimon L, Bertoni B, Carminati R, Carlini V, Pettinari L, Martinelli C, Gagliano N, Noppe G, Buchlin P, Marquet N, Baeyens N, Morel N, Vanoverschelde JL, Bertrand L, Beauloye C, Horman S, Baysa A, Sagave J, Dahl CP, Gullestad L, Carpi A, Di Lisa F, Giorgio M, Vaage J, Valen G, Vafiadaki E, Papalouka V, Arvanitis DA, Terzis G, Spengos K, Kranias EG, Manta P, Sanoudou D, Gales C, Genet G, Dague E, Cazorla O, Payre B, Mias C, Ouille A, Lacampagne A, Pathak A, Senard JM, Abonnenc M, Da Costa Martins P, Srivastava S, Didangelos A, Yin X, Gautel M, De Windt L, Mayr M, Comelli L, Rocchiccioli S, Lande C, Ucciferri N, Trivella MG, Citti L, Cecchettini A, Ikonen L, Vuorenpaa H, Kujala K, Sarkanen JR, Heinonen T, Ylikomi T, Aalto-Setala K, Capros H, Sprincean N, Usurelu N, Egorov V, Stratu N, Matchkov V, Bouzinova E, Moeller-Nielsen N, Wiborg O, Aalkjaer C, Gutierrez PS, Aparecida-Silva R, Borges LF, Moreira LFP, Dias RR, Kalil J, Stolf NAG, Zhou W, Suntharalingam K, Brand N, Vilar Compte R, Ying L, Bicknell K, Dannoura A, Dash P, Brooks G, Tsimafeyeu I, Tishova Y, Wynn N, Oyeyipo IP, Olatunji LA, Maegdefessel L, Azuma J, Toh R, Raaz U, Merk DR, Deng A, Spin JM, Tsao PS, Lande C, Cecchettini A, Tedeschi L, Taranta M, Naldi I, Citti L, Trivella MG, Grimaldi S, Cinti C, Bousquenaud M, Maskali F, Poussier S, Marie PY, Boutley H, Karcher G, Wagner DR, Devaux Y, Torre I, Psilodimitrakopoulos S, Iruretagoiena I, Gonzalez-Tendero A, Artigas D, Loza-Alvarez P, Gratacos E, Amat-Roldan I, Murray L, Carberry DM, Dunton P, Miles MJ, Suleiman MS, Kanesalingam K, Taylor R, Mc Collum CN, Parniczky A, Solymar M, Porpaczy A, Miseta A, Lenkey ZS, Szabados S, Cziraki A, Garai J, Koller A, Myloslavska I, Menazza SM, Canton MC, Di Lisa FDL, Schulz RS, Oliveira SHV, Morais CAS, Miranda MR, Oliveira TT, Lamego MRA, Lima LM, Goncharova NS, Naymushin AV, Kazimli AV, Moiseeva OM, Lima LM, Carvalho MG, Sabino AP, Mota APL, Sousa MO, Niessner A, Richter B, Hohensinner PJ, Rychli K, Zorn G, Berger R, Moertl D, Pacher R, Wojta J, Huelsmann M, Kukharchik G, Nesterova N, Pavlova A, Gaykovaya L, Krapivka N, Konstantinova I, Sichinava L, Prapa S, Mccarthy KP, Kilner PJ, Xu XY, Johnson MR, Ho SY. Poster session 2. Cardiovasc Res 2012. [DOI: 10.1093/cvr/cvr334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Wong CM, Peiris JSM, Yang L, Chan KP, Thach TQ, Lai HK, Lim WWL, Hedley AJ, He J, Chen P, Ou C, Deng A, Zhang X, Zhou D, Ma S, Chow A. Effect of influenza on cardiorespiratory and all-cause mortality in Hong Kong, Singapore and Guangzhou. Hong Kong Med J 2012; 18 Suppl 2:8-11. [PMID: 22311353] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023] Open
Abstract
1. Using a common modelling approach, mortality attributable to influenza was higher in the two subtropical cities Guangzhou and Hong Kong than in the tropical city Singapore. 2. The virus activity appeared more synchronised in subtropical cities, whereas seasonality of influenza tended to be less marked in the tropical city. 3. High temperature was associated with increased mortality after influenza infection in Hong Kong, whereas relative humidity was an effect modifier for influenza in Guangzhou. No effect modification was found for Singapore. 4. Seasonal and environmental factors probably play a more important role than socioeconomic factors in regulating seasonality and disease burden of influenza. Further studies are needed in identifying the mechanism behind the regulatory role of environmental factors.
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Affiliation(s)
- C M Wong
- Department of Community Medicine and School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
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Lu J, Lobarinas E, Deng A, Goodey R, Stolzberg D, Salvi RJ, Sun W. GABAergic neural activity involved in salicylate-induced auditory cortex gain enhancement. Neuroscience 2011; 189:187-98. [PMID: 21664433 DOI: 10.1016/j.neuroscience.2011.04.073] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2011] [Revised: 04/12/2011] [Accepted: 04/16/2011] [Indexed: 12/31/2022]
Abstract
Although high doses of sodium salicylate impair cochlear function, it paradoxically enhances sound-evoked activity in the auditory cortex (AC) and augments acoustic startle reflex responses, neural and behavioral metrics associated with hyperexcitability and hyperacusis. To explore the neural mechanisms underlying salicylate (SS)-induced hyperexcitability and "increased central gain," we examined the effects of GABA receptor agonists and antagonists on SS-induced hyperexcitability in the AC and startle reflex responses. Consistent with our previous findings, local or systemic application of SS significantly increased the amplitude of sound-evoked AC neural activity, but generally reduced spontaneous activity in the AC. Systemic injection of SS also significantly increased the acoustic startle reflex. S-baclofen or R-baclofen, GABA-B agonists, which suppressed sound-evoked AC neural firing rate and local field potentials, also suppressed the SS-induced enhancement of the AC field potential and the acoustic startle reflex. Local application of vigabatrin, which enhances GABA concentration in the brain, suppressed the SS-induced enhancement of AC firing rate. Systemic injection of vigabatrin also reduced the SS-induced enhancement of acoustic startle reflex. Collectively, these results suggest that the sound-evoked behavioral and neural hyperactivity induced by SS may arise from a SS-induced suppression of GABAergic inhibition in the AC.
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Affiliation(s)
- J Lu
- Center for Hearing and Deafness, Department of Communicative Disorders and Sciences, State University of New York at Buffalo, 3435 Main Street, NY 14214, USA
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Deng XS, Wang S, Deng A, Liu B, Edgerton SM, Thor AD. Abstract PD03-09: Metformin Induces Apoptosis in Triple Negative Breast Cancer Cells Via Inhibition of Stat3 Activity. Cancer Res 2010. [DOI: 10.1158/0008-5472.sabcs10-pd03-09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Metformin inhibits breast cancer cell proliferation and colony formation, with S phase arrest and the induction of apoptosis in triple negative breast cancer cells in vitro. In these cells, metformin down-regulates Cyclin D1 and Cyclin E, as well as EGFR, p-EGFR, p-AKT, p-MAPK, p-Src and p-mTOR, whereas it up-regulates p-AMPK (Liu, et al. Cell Cycle, 2009). Non-triple negative breast cancer cells are resistant to metformin induced apoptosis, although they show similar changes in p-AMPK induction with metformin (Alimova, et al. Cell Cycle, 2009). We hypothesized that there are unique signaling intermediates associated with metformin responsivity in triple negative cells and have identified the signal transducer and activator of transcription 3 (Stat3) as a potential target. Stat3 is constitutively activated in a wide range of tumors, including breast cancer (up to 60%). It reportedly promotes cancer cell proliferation and survival.
Methods: Human triple negative breast cancer cell lines (MDA-468, MDA-231, BT20 and HCC70) were used to evaluate interactions between metformin and Stat3 signaling. Activation of Stat3 was examined by Western blot analysis with phosphorylation-specific antibodies. Cell proliferation was determined by MTS assay. Apoptosis was quantitated by an apoptosis ELISA assay and Western blots for PARP and caspase cleavage. In these 4 cell lines, Stat3-over-expressing clones were obtained via transfection of a constitutive active (CA) construct of Stat3. Specific knock-down of Stat3 expression was achieved by using a lentiviral system containing Stat3 small hairpin RNA.
Results: In a dose and time dependent manner, metformin inhibits Stat3 phosphorylation at sites Tyr705 and Ser727, Cyclin D1 and E protein expression, cleavage of PARP and the pro-caspases 3, 8, and 9. Overexpression of the CA-Stat3 attenuates the aforementioned meformin-associated PARP and caspase cleavage as well as apoptosis, and it suppresses metformin induced cell cycle arrest and changes in cyclin D1 and E. In contrast, specific knock-down of Stat3 expression sensitizes the triple negative breast cancer cells to metformin-mediated apoptosis and cell cycle arrest, enhancing the signaling changes we describe above. Conclusion: These data indicate that Stat3 is a critical intermediary for metformin action in triple negative breast cancer cells. Our studies suggest that targeting Stat3 activation may be a useful strategy to treat breast cancer patients with triple negative phenotype.
Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr PD03-09.
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Affiliation(s)
- XS Deng
- University of Colorado at Denver Anschutz Medical Campus, Aurora; Barbara Davis Center UCD, Aurora, CO
| | - S Wang
- University of Colorado at Denver Anschutz Medical Campus, Aurora; Barbara Davis Center UCD, Aurora, CO
| | - A Deng
- University of Colorado at Denver Anschutz Medical Campus, Aurora; Barbara Davis Center UCD, Aurora, CO
| | - B Liu
- University of Colorado at Denver Anschutz Medical Campus, Aurora; Barbara Davis Center UCD, Aurora, CO
| | - SM Edgerton
- University of Colorado at Denver Anschutz Medical Campus, Aurora; Barbara Davis Center UCD, Aurora, CO
| | - AD. Thor
- University of Colorado at Denver Anschutz Medical Campus, Aurora; Barbara Davis Center UCD, Aurora, CO
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Deng A, Martin DB, Spillane A, Chwalek J, St Surin-Lord S, Brooks S, Petrali J, Sina B, Gaspari A, Kao G. Nephrogenic systemic fibrosis with a spectrum of clinical and histopathological presentation: a disorder of aberrant dermal remodeling. J Cutan Pathol 2010; 37:204-10. [PMID: 19341434 DOI: 10.1111/j.1600-0560.2009.01301.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Nephrogenic fibrosing dermopathy (NFD) has emerged as a clinicopathologic entity since 1997 and recently renamed as nephrogenic systemic fibrosis (NSF). The etiology and pathogenesis remain uncertain. Characteristic clinical presentation is described as diffuse thickening and hardening of the skin occurring in patients with renal insufficiency. Typical histological features include proliferation of CD34 positive fibrocytes, increased thick collagen bundles and mucin deposition, without significant inflammatory infiltrate. Variations in clinical presentations have been reported, including papular and plaque-like skin lesions, focal lesion only, as well as systemic involvement. Histological changes can be subtle and non-specific, overlapping with other disease processes and harboring features including calcification and osteoclast-like giant cells with osseous metaplasia. METHODS We reviewed patients with NSF that presented to our dermatology clinic by chart review, clinical examination and histological examination. Skin biopsy specimens were obtained from all cases. Histopathology evaluations were carried out by three dermatopathologists (AD, BS and GK) independently and the features were compared among all the cases. Special stains and immunohistochemistry study were also performed to highlight the histological features. RESULTS Seven cases of NSF presented with a spectrum of clinical manifestations, from classic diffuse hardening of the skin to localized linear plaques. On histological examination, proliferation of CD34-positive fibrocytes ranged from sparse to dense, collagen bundles ranged from thin to thick, and the interstitial dermal mucin accumulation ranged from scant-patchy to abundant. In addition, the lesion displayed various degrees of vascular proliferation, inflammatory infiltrates and intensities of CD68 and Factor XIIIa staining. Two cases showed extensive dermal calcification and ossification. CONCLUSION NSF may present with a spectrum of clinical abnormalities, and exhibit overlapping histopathological features resembling cicatrix and other dermal reparative/regenerative processes. NSF may in fact to be a disorder of aberrant extracellular matrix remodeling in patients with renal insufficiency.
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Affiliation(s)
- A Deng
- 1Department of Dermatology, University of Maryland, School of Medicine, Baltimore, Maryland, USA.
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McLaughlin T, Deng A, Yee G, Lamendola C, Reaven G, Tsao PS, Cushman SW, Sherman A. Inflammation in subcutaneous adipose tissue: relationship to adipose cell size. Diabetologia 2010; 53:369-77. [PMID: 19816674 PMCID: PMC6290757 DOI: 10.1007/s00125-009-1496-3] [Citation(s) in RCA: 89] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2009] [Accepted: 07/16/2009] [Indexed: 11/28/2022]
Abstract
AIMS/HYPOTHESIS Inflammation is associated with increased body mass and purportedly with increased size of adipose cells. We sought to determine whether increased size of adipose cells is associated with localised inflammation in weight-stable, moderately obese humans. METHODS We recruited 49 healthy, moderately obese individuals for quantification of insulin resistance (modified insulin suppression test) and subcutaneous abdominal adipose tissue biopsy. Cell size distribution was analysed with a multisizer device and inflammatory gene expression with real-time PCR. Correlations between inflammatory gene expression and cell size variables, with adjustment for sex and insulin resistance, were calculated. RESULTS Adipose cells were bimodally distributed, with 47% in a 'large' cell population and the remainder in a 'small' cell population. The median diameter of the large adipose cells was not associated with expression of inflammatory genes. Rather, the fraction of small adipose cells was consistently associated with inflammatory gene expression, independently of sex, insulin resistance and BMI. This association was more pronounced in insulin-resistant than insulin-sensitive individuals. Insulin resistance also independently predicted expression of inflammatory genes. CONCLUSIONS/INTERPRETATION This study demonstrates that among moderately obese, weight-stable individuals an increased proportion of small adipose cells is associated with inflammation in subcutaneous adipose tissue, whereas size of mature adipose cells is not. The observed association between small adipose cells and inflammation may reflect impaired adipogenesis and/or terminal differentiation. However, it is unclear whether this is a cause or consequence of inflammation. This question and whether small vs large adipose cells contribute differently to inflammation in adipose tissue are topics for future research. TRIAL REGISTRATION ClinicalTrials.gov NCT00285844.
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Affiliation(s)
- T McLaughlin
- Division of Endocrinology, Stanford University School of Medicine, 300 Pasteur Drive, Rm S025, Stanford, CA 94305-5103, USA.
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Sun W, Lu J, Stolzberg D, Gray L, Deng A, Lobarinas E, Salvi RJ. Salicylate increases the gain of the central auditory system. Neuroscience 2008; 159:325-34. [PMID: 19154777 DOI: 10.1016/j.neuroscience.2008.12.024] [Citation(s) in RCA: 148] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2008] [Revised: 12/14/2008] [Accepted: 12/16/2008] [Indexed: 10/21/2022]
Abstract
High doses of salicylate, the anti-inflammatory component of aspirin, induce transient tinnitus and hearing loss. Systemic injection of 250 mg/kg of salicylate, a dose that reliably induces tinnitus in rats, significantly reduced the sound evoked output of the rat cochlea. Paradoxically, salicylate significantly increased the amplitude of the sound-evoked field potential from the auditory cortex (AC) of conscious rats, but not the inferior colliculus (IC). When rats were anesthetized with isoflurane, which increases GABA-mediated inhibition, the salicylate-induced AC amplitude enhancement was abolished, whereas ketamine, which blocks N-methyl-d-aspartate receptors, further increased the salicylate-induced AC amplitude enhancement. Direct application of salicylate to the cochlea, however, reduced the response amplitude of the cochlea, IC and AC, suggesting the AC amplitude enhancement induced by systemic injection of salicylate does not originate from the cochlea. To identify a behavioral correlate of the salicylate-induced AC enhancement, the acoustic startle response was measured before and after salicylate treatment. Salicylate significantly increased the amplitude of the startle response. Collectively, these results suggest that high doses of salicylate increase the gain of the central auditory system, presumably by down-regulating GABA-mediated inhibition, leading to an exaggerated acoustic startle response. The enhanced startle response may be the behavioral correlate of hyperacusis that often accompanies tinnitus and hearing loss.
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Affiliation(s)
- W Sun
- Center for Hearing and Deafness, 137 Cary Hall, State University of New York at Buffalo, 3435 Main Street, Buffalo, NY 14214, USA.
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McLaughlin T, Deng A, Gonzales O, Aillaud M, Yee G, Lamendola C, Abbasi F, Connolly AJ, Sherman A, Cushman SW, Reaven G, Tsao PS. Insulin resistance is associated with a modest increase in inflammation in subcutaneous adipose tissue of moderately obese women. Diabetologia 2008; 51:2303-8. [PMID: 18825363 PMCID: PMC3290914 DOI: 10.1007/s00125-008-1148-z] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2008] [Accepted: 08/11/2008] [Indexed: 10/21/2022]
Abstract
AIMS/HYPOTHESIS We have previously described differences in adipose cell size distribution and expression of genes related to adipocyte differentiation in subcutaneous abdominal fat obtained from insulin-sensitive (IS) and -resistant (IR) persons, matched for degree of moderate obesity. To determine whether other biological properties also differ between IR and IS obese individuals, we quantified markers of inflammatory activity in adipose tissue from overweight IR and IS individuals. METHODS Subcutaneous abdominal tissue was obtained from moderately obese women, divided into IR (n = 14) and IS (n = 19) subgroups by determining their steady-state plasma glucose (SSPG) concentrations during the insulin suppression test. Inflammatory activity was assessed by comparing expression of nine relevant genes and by immunohistochemical quantification of CD45- and CD68-containing cells. RESULTS SSPG concentrations were approximately threefold higher in IR than in IS individuals. Expression levels of CD68, EMR1, IL8, IL6 and MCP/CCL2 mRNAs were modestly but significantly increased (p < 0.05) in IR compared with IS participants. Results of immunohistochemical staining were consistent with gene expression data, demonstrating modest differences between IR and IS individuals. Crown-like structures, in which macrophages surround single adipocytes, were rarely seen in tissue from either subgroup. CONCLUSIONS/INTERPRETATION A modest increase in inflammatory activity was seen in subcutaneous adipose tissue from IR compared with equally obese IS individuals. Together with previous evidence of impaired adipose cell differentiation in IR vs equally obese individuals, it appears that at least two biological processes in subcutaneous adipose tissue characterize the insulin-resistant state independent of obesity per se.
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Affiliation(s)
- T McLaughlin
- Department of Medicine, Division of Endocrinology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305-5103, USA.
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