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Guo P, Cao S, Huang W, Lu X, Chen W, Zhang Y, Wang Y, Xin X, Zou R, Liu S, Li X. Heterojunction-Induced Rapid Transformation of Ni 3+/Ni 2+ Sites which Mediates Urea Oxidation for Energy-Efficient Hydrogen Production. Adv Mater 2024; 36:e2311766. [PMID: 38227289 DOI: 10.1002/adma.202311766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/25/2023] [Indexed: 01/17/2024]
Abstract
Water electrolysis is an environmentally-friendly strategy for hydrogen production but suffers from significant energy consumption. Substituting urea oxidation reaction (UOR) with lower theoretical voltage for water oxidation reaction adopting nickel-based electrocatalysts engenders reduced energy consumption for hydrogen production. The main obstacle remains strong interaction between accumulated Ni3+ and *COO in the conventional Ni3+-catalyzing pathway. Herein, a novel Ni3+/Ni2+ mediated pathway for UOR via constructing a heterojunction of nickel metaphosphate and nickel telluride (Ni2P4O12/NiTe), which efficiently lowers the energy barrier of UOR and avoids the accumulation of Ni3+ and excessive adsorption of *COO on the electrocatalysts, is developed. As a result, Ni2P4O12/NiTe demonstrates an exceptionally low potential of 1.313 V to achieve a current density of 10 mA cm-2 toward efficient urea oxidation reaction while simultaneously showcases an overpotential of merely 24 mV at 10 mA cm-2 for hydrogen evolution reaction. Constructing urea electrolysis electrolyzer using Ni2P4O12/NiTe at both sides attains 100 mA cm-2 at a low cell voltage of 1.475 V along with excellent stability over 500 h accompanied with nearly 100% Faradic efficiency.
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Affiliation(s)
- Peng Guo
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Shoufu Cao
- School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China
| | - Wenjing Huang
- Guangzhou Key Laboratory of Low-Dimensional Materials and Energy Storage Devices, Collaborative Innovation Center of Advanced Energy Materials, School of Materials and Energy, Guangdong University of Technology, Guangzhou, 510006, P. R. China
| | - Xiaoqing Lu
- School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China
| | - Weizhe Chen
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Youzi Zhang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Yijin Wang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Xu Xin
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Ruiqing Zou
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Sibi Liu
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
| | - Xuanhua Li
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, P. R. China
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Biesbroek JM, Coenen M, DeCarli C, Fletcher EM, Maillard PM, Barkhof F, Barnes J, Benke T, Chen CPLH, Dal‐Bianco P, Dewenter A, Duering M, Enzinger C, Ewers M, Exalto LG, Franzmeier N, Hilal S, Hofer E, Koek HL, Maier AB, McCreary CR, Papma JM, Paterson RW, Pijnenburg YAL, Rubinski A, Schmidt R, Schott JM, Slattery CF, Smith EE, Sudre CH, Steketee RME, Teunissen CE, van den Berg E, van der Flier WM, Venketasubramanian N, Venkatraghavan V, Vernooij MW, Wolters FJ, Xin X, Kuijf HJ, Biessels GJ. Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients. Alzheimers Dement 2024; 20:2980-2989. [PMID: 38477469 PMCID: PMC11032573 DOI: 10.1002/alz.13765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION White matter hyperintensities (WMH) are associated with key dementia etiologies, in particular arteriolosclerosis and amyloid pathology. We aimed to identify WMH locations associated with vascular risk or cerebral amyloid-β1-42 (Aβ42)-positive status. METHODS Individual patient data (n = 3,132; mean age 71.5 ± 9 years; 49.3% female) from 11 memory clinic cohorts were harmonized. WMH volumes in 28 regions were related to a vascular risk compound score (VRCS) and Aß42 status (based on cerebrospinal fluid or amyloid positron emission tomography), correcting for age, sex, study site, and total WMH volume. RESULTS VRCS was associated with WMH in anterior/superior corona radiata (B = 0.034/0.038, p < 0.001), external capsule (B = 0.052, p < 0.001), and middle cerebellar peduncle (B = 0.067, p < 0.001), and Aß42-positive status with WMH in posterior thalamic radiation (B = 0.097, p < 0.001) and splenium (B = 0.103, p < 0.001). DISCUSSION Vascular risk factors and Aß42 pathology have distinct signature WMH patterns. This regional vulnerability may incite future studies into how arteriolosclerosis and Aß42 pathology affect the brain's white matter. HIGHLIGHTS Key dementia etiologies may be associated with specific patterns of white matter hyperintensities (WMH). We related WMH locations to vascular risk and cerebral Aβ42 status in 11 memory clinic cohorts. Aβ42 positive status was associated with posterior WMH in splenium and posterior thalamic radiation. Vascular risk was associated with anterior and infratentorial WMH. Amyloid pathology and vascular risk have distinct signature WMH patterns.
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Zhang YY, Xin X, Bi LQ, Shi FY, Cao RX, Wang YM, Liu XH. [Colorectal cancer with β-catenin protein expression deficiency: a clinicopathological analysis]. Zhonghua Bing Li Xue Za Zhi 2024; 53:288-292. [PMID: 38433058 DOI: 10.3760/cma.j.cn112151-20230721-00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Objective: To investigate the clinicopathological features and molecular characteristics of β-catenin-deficient colorectal cancer. Methods: The clinical, pathological and molecular features of 11 colorectal cancers with β-catenin protein loss diagnosed at the 960th Hospital of People's Liberation Army of China, from January 2012 to November 2022 were analyzed. Results: Among the 11 patients, 3 were males and 8 were females. Their age ranged from 43 to 74 years, with the median age of 59 years. Six were in the left colon and 5 were in the right colon. One of the 11 cases had lymph node metastasis, 10 cases were well and moderately differentiated adenocarcinoma, and 1 was mucinous adenocarcinoma. Eight cases were of TNM stage T4, 2 of T1 stage and 1 of Tis stage. β-catenin protein was not detected using immunohistochemistry. Sanger sequencing revealed the presence of fragment-deletion mutation in exon 3 of CTNNB1 gene, resulting in loss of β-catenin protein expression. Conclusion: β-catenin deficiency is present in a small number of colorectal cancers and may be associated with exon 3 mutations of CTNNB1 gene.
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Affiliation(s)
- Y Y Zhang
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - X Xin
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - L Q Bi
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - F Y Shi
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - R X Cao
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - Y M Wang
- Department of Pathology, Hekou District People's Hospital, Dongying 257299, China
| | - X H Liu
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
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Xin X, Li Y, Zhang Y, Wang Y, Chi X, Wei Y, Diao C, Su J, Wang R, Guo P, Yu J, Zhang J, Sobrido AJ, Titirici MM, Li X. Large electronegativity differences between adjacent atomic sites activate and stabilize ZnIn 2S 4 for efficient photocatalytic overall water splitting. Nat Commun 2024; 15:337. [PMID: 38184634 PMCID: PMC10771526 DOI: 10.1038/s41467-024-44725-1] [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: 05/10/2023] [Accepted: 01/02/2024] [Indexed: 01/08/2024] Open
Abstract
Photocatalytic overall water splitting into hydrogen and oxygen is desirable for long-term renewable, sustainable and clean fuel production on earth. Metal sulfides are considered as ideal hydrogen-evolved photocatalysts, but their component homogeneity and typical sulfur instability cause an inert oxygen production, which remains a huge obstacle to overall water-splitting. Here, a distortion-evoked cation-site oxygen doping of ZnIn2S4 (D-O-ZIS) creates significant electronegativity differences between adjacent atomic sites, with S1 sites being electron-rich and S2 sites being electron-deficient in the local structure of S1-S2-O sites. The strong charge redistribution character activates stable oxygen reactions at S2 sites and avoids the common issue of sulfur instability in metal sulfide photocatalysis, while S1 sites favor the adsorption/desorption of hydrogen. Consequently, an overall water-splitting reaction has been realized in D-O-ZIS with a remarkable solar-to-hydrogen conversion efficiency of 0.57%, accompanying a ~ 91% retention rate after 120 h photocatalytic test. In this work, we inspire an universal design from electronegativity differences perspective to activate and stabilize metal sulfide photocatalysts for efficient overall water-splitting.
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Affiliation(s)
- Xu Xin
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
- Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China
| | - Yuke Li
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Singapore
| | - Youzi Zhang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
- Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China
| | - Yijin Wang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
- Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China
| | - Xiao Chi
- Department of Physics, National University of Singapore, Singapore, 117576, Singapore
| | - Yanping Wei
- College of Science, Gansu Agricultural University, Lanzhou, 730070, China
| | - Caozheng Diao
- Singapore Synchrotron Light Source, National University of Singapore, 5 Research Link, Singapore, 117603, Singapore
| | - Jie Su
- College of Microelectronics, Xidian University, Xi'an, 710072, China
| | - Ruiling Wang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
- Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China
| | - Peng Guo
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
- Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China
| | - Jiakang Yu
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Jia Zhang
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Singapore
| | - Ana Jorge Sobrido
- School of Engineering and Materials Science, Faculty of Science and Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, UK
| | - Maria-Magdalena Titirici
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Xuanhua Li
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
- Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China.
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Coenen M, Biessels GJ, DeCarli C, Fletcher EF, Maillard PM, Barkhof F, Barnes J, Benke T, Boomsma JMF, P L H Chen C, Dal-Bianco P, Dewenter A, Duering M, Enzinger C, Ewers M, Exalto LG, Franzmeier N, Groeneveld O, Hilal S, Hofer E, Koek HL, Maier AB, McCreary CR, Papma JM, Paterson RW, Pijnenburg YAL, Rubinski A, Schmidt R, Schott JM, Slattery CF, Smith EE, Sudre CH, Steketee RME, van den Berg E, van der Flier WM, Venketasubramanian N, Vernooij MW, Wolters FJ, Xin X, Biesbroek JM, Kuijf HJ. Spatial distributions of white matter hyperintensities on brain MRI: A pooled analysis of individual participant data from 11 memory clinic cohorts. Neuroimage Clin 2023; 40:103547. [PMID: 38035457 PMCID: PMC10698002 DOI: 10.1016/j.nicl.2023.103547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/03/2023] [Accepted: 11/21/2023] [Indexed: 12/02/2023]
Abstract
INTRODUCTION The spatial distribution of white matter hyperintensities (WMH) on MRI is often considered in the diagnostic evaluation of patients with cognitive problems. In some patients, clinicians may classify WMH patterns as "unusual", but this is largely based on expert opinion, because detailed quantitative information about WMH distribution frequencies in a memory clinic setting is lacking. Here we report voxel wise 3D WMH distribution frequencies in a large multicenter dataset and also aimed to identify individuals with unusual WMH patterns. METHODS Individual participant data (N = 3525, including 777 participants with subjective cognitive decline, 1389 participants with mild cognitive impairment and 1359 patients with dementia) from eleven memory clinic cohorts, recruited through the Meta VCI Map Consortium, were used. WMH segmentations were provided by participating centers or performed in Utrecht and registered to the Montreal Neurological Institute (MNI)-152 brain template for spatial normalization. To determine WMH distribution frequencies, we calculated WMH probability maps at voxel level. To identify individuals with unusual WMH patterns, region-of-interest (ROI) based WMH probability maps, rule-based scores, and a machine learning method (Local Outlier Factor (LOF)), were implemented. RESULTS WMH occurred in 82% of voxels from the white matter template with large variation between subjects. Only a small proportion of the white matter (1.7%), mainly in the periventricular areas, was affected by WMH in at least 20% of participants. A large portion of the total white matter was affected infrequently. Nevertheless, 93.8% of individual participants had lesions in voxels that were affected in less than 2% of the population, mainly located in subcortical areas. Only the machine learning method effectively identified individuals with unusual patterns, in particular subjects with asymmetric WMH distribution or with WMH at relatively rarely affected locations despite common locations not being affected. DISCUSSION Aggregating data from several memory clinic cohorts, we provide a detailed 3D map of WMH lesion distribution frequencies, that informs on common as well as rare localizations. The use of data-driven analysis with LOF can be used to identify unusual patterns, which might serve as an alert that rare causes of WMH should be considered.
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Affiliation(s)
- Mirthe Coenen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands.
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, USA
| | - Evan F Fletcher
- Department of Neurology, University of California at Davis, USA
| | | | - Frederik Barkhof
- Radiology & Nuclear Medicine, Amsterdam UMC, Location Vrije Universiteit, the Netherlands; UCL Institute of Neurology, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Thomas Benke
- Clinic of Neurology, Medical University Innsbruck, Austria
| | - Jooske M F Boomsma
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Christopher P L H Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | | | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany; Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Christian Enzinger
- Division of General Neurology, Department of Neurology, Medical University Graz, Austria; Division of Neuroradiology, Interventional and Vascular Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Lieza G Exalto
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Onno Groeneveld
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands; Department of Neurology, Isala, Meppel, the Netherlands
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Edith Hofer
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria
| | - Huiberdina L Koek
- Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Andrea B Maier
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore; Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore; Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Cheryl R McCreary
- Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Janne M Papma
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Ross W Paterson
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Anna Rubinski
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Reinhold Schmidt
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Catherine F Slattery
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Eric E Smith
- Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Rebecca M E Steketee
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Esther van den Berg
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Narayanaswamy Venketasubramanian
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore; Raffles Neuroscience Center, Raffles Hospital, Singapore, Singapore
| | - Meike W Vernooij
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Frank J Wolters
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands; Department of Neurology, Diakonessenhuis Hospital, Utrecht, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
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Dato Md Yusof YJ, Ng QX, Teoh SE, Loh CYL, Xin X, Thumboo J. Validation and use of the Second Victim Experience and Support Tool questionnaire: a scoping review. Public Health 2023; 223:183-192. [PMID: 37672831 DOI: 10.1016/j.puhe.2023.08.003] [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: 04/24/2023] [Revised: 06/23/2023] [Accepted: 08/01/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVES Patient safety incidents can impact not only patients and families but also healthcare providers, who may experience negative emotions and symptoms, such as anxiety, guilt, stress, and loss of confidence. To identify and support these "second victims," a screening tool called the Second Victim Experience and Support Tool (SVEST) has been developed. This scoping review aims to map our current knowledge of the SVEST in terms of its scope of use, validation and limitations. STUDY DESIGN Scoping review. METHODS In accordance with the framework outlined by Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews, we conducted a literature search in MEDLINE, CINAHL, Cochrane Library, SCOPUS, Embase and PsycINFO databases from database inception up till 1 March 2023. RESULTS A total of 31 studies were reviewed. The SVEST has been cross-culturally adapted from English into other languages. The SVEST has been successfully used in different contexts and with various healthcare professionals, including doctors, nurses, allied health professionals, midwives and pharmacists. The tool has been used to assess the impact of second victim experiences and the effectiveness of support interventions in addressing the phenomenon. Validity assessment of translated versions of SVEST in the reviewed studies revealed good content validity in most cases, although some studies did not report clear values for scale-level Content Validity Index. On the whole, SVEST is generally a reliable and valid tool, although further refinements and modifications may improve its validity and reliability. CONCLUSIONS The review highlights the significance of SVEST as a crucial resource for healthcare providers and organisations that prioritise well-being and safety in health care. It also underscores the importance of recognising the needs of second victims and offering them appropriate interventions to manage the aftermath of adverse events.
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Affiliation(s)
- Y J Dato Md Yusof
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - Q X Ng
- Health Services Research Unit, Singapore General Hospital, Singapore.
| | - S E Teoh
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - C Y L Loh
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - X Xin
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - J Thumboo
- Health Services Research Unit, Singapore General Hospital, Singapore; SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, Singapore
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Wang Y, Zhang Y, Xin X, Yang J, Wang M, Wang R, Guo P, Huang W, Sobrido AJ, Wei B, Li X. In situ photocatalytically enhanced thermogalvanic cells for electricity and hydrogen production. Science 2023; 381:291-296. [PMID: 37471552 DOI: 10.1126/science.adg0164] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 05/16/2023] [Indexed: 07/22/2023]
Abstract
High-performance thermogalvanic cells have the potential to convert thermal energy into electricity, but their effectiveness is limited by the low concentration difference of redox ions. We report an in situ photocatalytically enhanced redox reaction that generates hydrogen and oxygen to realize a continuous concentration gradient of redox ions in thermogalvanic devices. A linear relation between thermopower and hydrogen production rate was established as an essential design principle for devices. The system exhibited a thermopower of 8.2 millivolts per kelvin and a solar-to-hydrogen efficiency of up to 0.4%. A large-area generator (112 square centimeters) consisting of 36 units yielded an open-circuit voltage of 4.4 volts and a power of 20.1 milliwatts, as well 0.5 millimoles of hydrogen and 0.2 millimoles of oxygen after 6 hours of outdoor operation.
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Affiliation(s)
- Yijin Wang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
| | - Youzi Zhang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
| | - Xu Xin
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
| | - Jiabao Yang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
| | - Maohuai Wang
- Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, P. R. China
| | - Ruiling Wang
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
| | - Peng Guo
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
| | - Wenjing Huang
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Ana Jorge Sobrido
- School of Engineering and Materials Science, Faculty of Science and Engineering, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Bingqing Wei
- Department of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA
| | - Xuanhua Li
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
- Research and Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China
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Coenen M, Kuijf HJ, Huenges Wajer IMC, Duering M, Wolters FJ, Fletcher EF, Maillard PM, Barkhof F, Barnes J, Benke T, Boomsma JMF, Chen CPLH, Dal-Bianco P, Dewenter A, Enzinger C, Ewers M, Exalto LG, Franzmeier N, Groeneveld O, Hilal S, Hofer E, Koek DL, Maier AB, McCreary CR, Padilla CS, Papma JM, Paterson RW, Pijnenburg YAL, Rubinski A, Schmidt R, Schott JM, Slattery CF, Smith EE, Steketee RME, Sudre CH, van den Berg E, van der Flier WM, Venketasubramanian N, Vernooij MW, Xin X, DeCarli C, Biessels GJ, Biesbroek JM. Strategic white matter hyperintensity locations for cognitive impairment: A multicenter lesion-symptom mapping study in 3525 memory clinic patients. Alzheimers Dement 2023; 19:2420-2432. [PMID: 36504357 DOI: 10.1002/alz.12827] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Impact of white matter hyperintensities (WMH) on cognition likely depends on lesion location, but a comprehensive map of strategic locations is lacking. We aimed to identify these locations in a large multicenter study. METHODS Individual patient data (n = 3525) from 11 memory clinic cohorts were harmonized. We determined the association of WMH location with attention and executive functioning, information processing speed, language, and verbal memory performance using voxel-based and region of interest tract-based analyses. RESULTS WMH in the left and right anterior thalamic radiation, forceps major, and left inferior fronto-occipital fasciculus were significantly related to domain-specific impairment, independent of total WMH volume and atrophy. A strategic WMH score based on these tracts inversely correlated with performance in all domains. DISCUSSION The data show that the impact of WMH on cognition is location-dependent, primarily involving four strategic white matter tracts. Evaluation of WMH location may support diagnosing vascular cognitive impairment. HIGHLIGHTS We analyzed white matter hyperintensities (WMH) in 3525 memory clinic patients from 11 cohorts The impact of WMH on cognition depends on location We identified four strategic white matter tracts A single strategic WMH score was derived from these four strategic tracts The strategic WMH score was an independent determinant of four cognitive domains.
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Affiliation(s)
- Mirthe Coenen
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Irene M C Huenges Wajer
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Frank J Wolters
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Evan F Fletcher
- Department of Neurology, University of California at Davis, Davis, California, USA
| | - Pauline M Maillard
- Department of Neurology, University of California at Davis, Davis, California, USA
| | - Frederik Barkhof
- Radiology & Nuclear Medicine, Amsterdam UMC, location Vrije Universiteit, Amsterdam, The Netherlands
- UCL Institute of Neurology, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Thomas Benke
- Clinic of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Jooske M F Boomsma
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Christopher P L H Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Peter Dal-Bianco
- Department of Neurology, Medical University Vienna, Vienna, Austria
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Christian Enzinger
- Division of General Neurology, Department of Neurology, Medical University Graz, Graz, Austria
- Division of Neuroradiology, Interventional and Vascular Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Lieza G Exalto
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Onno Groeneveld
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
- Department of Neurology, Isala MS Centre, Isala Hospital, Meppel, The Netherlands
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Edith Hofer
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Dineke L Koek
- Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Andrea B Maier
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
- Department of Medicine, National University of Singapore, Singapore, Singapore
| | - Cheryl R McCreary
- Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Catarina S Padilla
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
| | - Janne M Papma
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Ross W Paterson
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Anna Rubinski
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Reinhold Schmidt
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Catherine F Slattery
- Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Eric E Smith
- Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Rebecca M E Steketee
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing, the Centre for Medical Image Computing, UCL, London, UK
| | - Esther van den Berg
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Narayanaswamy Venketasubramanian
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
- Raffles Neuroscience Center, Raffles Hospital, Singapore, Singapore
| | - Meike W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, California, USA
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
| | - J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, UMC Utrecht, Brain Center, Utrecht, The Netherlands
- Department of Neurology, Diakonessenhuis Hospital, Utrecht, The Netherlands
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Xin X, Jia-Yin Y, Jun-Yang H, Rui W, Xiong-Ri K, Long-Rui D, Liu J, Jue-Yu Z. Comprehensive analysis of lncRNA-mRNA co-expression networks in HPV-driven cervical cancer reveals the pivotal function of LINC00511-PGK1 in tumorigenesis. Comput Biol Med 2023; 159:106943. [PMID: 37099974 DOI: 10.1016/j.compbiomed.2023.106943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 04/06/2023] [Accepted: 04/14/2023] [Indexed: 04/28/2023]
Abstract
BACKGROUND Mounting evidence suggests that noncoding RNAs (lncRNAs) were involved in various human cancers. However, the role of these lncRNAs in HPV-driven cervical cancer (CC) has not been extensively studied. Considering that HR-HPV infections contribute to cervical carcinogenesis by regulating the expression of lncRNAs, miRNAs and mRNAs, we aim to systematically analyze lncRNAs and mRNAs expression profile to identify novel lncRNAs-mRNAs co-expression networks and explore their potential impact on tumorigenesis in HPV-driven CC. METHODS LncRNA/mRNA microarray technology was utilized to identify the differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) in HPV-16 and HPV-18 cervical carcinogenesis compared to normal cervical tissues. Venn diagram and weighted gene co-expression network analysis (WGCNA) were used to identify the hub DElncRNAs/DEmRNAs that were both significantly correlated with HPV-16 and HPV-18 CC patients. LncRNA-mRNA correlation analysis and functional enrichment pathway analysis were performed on these key DElncRNAs/DEmRNAs in HPV-16 and HPV-18 CC patients to explore their mutual mechanism in HPV-driven CC. A lncRNA-mRNA co-expression score (CES) model was established and validated by using the Cox regression method. Afterward, the clinicopathological characteristics were analyzed between CES-high and CES-low groups. In vitro, functional experiments were performed to evaluate the role of LINC00511 and PGK1 in cell proliferation, migration and invasion in CC cells. To understand whether LINC00511 play as an oncogenic role partially via modulating the expression of PGK1, rescue assays were used. RESULTS We identified 81 lncRNAs and 211 mRNAs that were commonly differentially expressed in HPV-16 and HPV-18 CC tissues compared to normal tissues. The results of lncRNA-mRNA correlation analysis and functional enrichment pathway analysis showed that the LINC00511-PGK1 co-expression network may make an important contribution to HPV-mediated tumorigenesis and be closely associated with metabolism-related mechanisms. Combined with clinical survival data, the prognostic lncRNA-mRNA co-expression score (CES) model based on LINC00511 and PGK1 could precisely predict patients' overall survival (OS). CES-high patients had a worse prognosis than CES-low patients and the enriched pathways and potential targets of applicable drugs were explored in CES-high patients. In vitro experiments confirmed the oncogenic functions of LINC00511 and PGK1 in the progression of CC, and revealed that LINC00511 functions in an oncogenic role in CC cells partially via modulating the expression of PGK1. CONCLUSIONS Together, these data identify co-expression modules that provide valuable information to understand the pathogenesis of HPV-mediated tumorigenesis, which highlights the pivotal function of the LINC00511-PGK1 co-expression network in cervical carcinogenesis. Furthermore, our CES model has a reliable predicting ability that could stratify CC patients into low- and high-risk groups of poor survival. This study provides a bioinformatics method to screen prognostic biomarkers which leads to lncRNA-mRNA co-expression network identification and construction for patients' survival prediction and potential drug applications in other cancers.
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Affiliation(s)
- Xu Xin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Yu Jia-Yin
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory for Safety Evaluation of Cosmetics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Huang Jun-Yang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China; School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Wang Rui
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Kuang Xiong-Ri
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Dang Long-Rui
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Jie Liu
- Department of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Zhou Jue-Yu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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Xin X, Zhang Y, Wang R, Wang Y, Guo P, Li X. Hydrovoltaic effect-enhanced photocatalysis by polyacrylic acid/cobaltous oxide–nitrogen doped carbon system for efficient photocatalytic water splitting. Nat Commun 2023; 14:1759. [PMID: 36997506 PMCID: PMC10063643 DOI: 10.1038/s41467-023-37366-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 03/12/2023] [Indexed: 04/01/2023] Open
Abstract
AbstractSevere carrier recombination and the slow kinetics of water splitting for photocatalysts hamper their efficient application. Herein, we propose a hydrovoltaic effect-enhanced photocatalytic system in which polyacrylic acid (PAA) and cobaltous oxide (CoO)–nitrogen doped carbon (NC) achieve an enhanced hydrovoltaic effect and CoO–NC acts as a photocatalyst to generate H2 and H2O2 products simultaneously. In this system, called PAA/CoO–NC, the Schottky barrier height between CoO and the NC interface decreases by 33% due to the hydrovoltaic effect. Moreover, the hydrovoltaic effect induced by H+ carrier diffusion in the system generates a strong interaction between H+ ions and the reaction centers of PAA/CoO–NC, improving the kinetics of water splitting in electron transport and species reaction. PAA/CoO–NC exhibits excellent photocatalytic performance, with H2 and H2O2 production rates of 48.4 and 20.4 mmol g−1 h−1, respectively, paving a new way for efficient photocatalyst system construction.
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Wenzhi X, Xin X, Ping Z, Hanglin W, Xiaona L. A meta-analysis of obstetric and neonatal outcomes in patients after treatment of hysteroscopic adhesiolysis. Front Endocrinol (Lausanne) 2023; 14:1126740. [PMID: 37033233 PMCID: PMC10080075 DOI: 10.3389/fendo.2023.1126740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 03/15/2023] [Indexed: 04/11/2023] Open
Abstract
Introduction Hysteroscopic adhesiolysis is widely performed in women with intrauterine adhesions. Small observational studies have reported the obstetric and neonatal outcomes, but studies with larger sample sizes are few. The aim of this study is to evaluate the obstetric and neonatal outcomes in women after hysteroscopic adhesiolysis. Methods We conducted a literature search in July 2022 using the PubMed, Embase, the Cochrane Library, and Web of Science databases, and finally, 32 studies (N = 3812) were included. We did a meta-analysis to estimate the prevalence of placenta-related disorders, including placenta previa, placental abruption, placenta accreta, placenta increta, and retained placenta. We also included other obstetric and neonatal outcomes like postpartum hemorrhage, ectopic pregnancy, oligohydramnios, gestational hypertension, gestational diabetes mellitus, and intrauterine growth restriction. The results were presented as odds ratios (ORs) with 95% confidence intervals (CIs) in studies with a control group, but otherwise as prevalence (%) with 95% confidence intervals (CIs). Results The overall pregnancy and live birth rates were 58.97% and 45.56%, respectively. The prevalence of placenta previa differed in pregnant women who underwent hysteroscopic adhesiolysis compared with those who did not (OR, 3.27; 95% CI, 1.28-8.36). In studies without a comparative group, the pooled rate of placenta accreta was 7% (95% CI, 4-11) in 20 studies; placenta increta was 1% (95% CI, 0-4) in 5 studies; a retained placenta was 11% (95% CI, 5-24) in 5 studies; postpartum hemorrhage was 12% (95% CI, 8-18) in 12 studies; ectopic pregnancy was 1% (95% CI, 0-2) in 13 studies; oligohydramnios was 3% (95% CI, 1-6) in 3 studies; intrauterine growth restriction was 3% (95% CI, 1-8) in 3 studies; gestational hypertension was 5% (95% CI, 2-11) in 4 studies; and diabetes mellitus was 4% (95% CI, 2-7) in 3 studies. Discussion Due to the paucity of good quality comparative data, the question of whether there is an increased prevalence of obstetric and neonatal complications in women after hysteroscopic adhesiolysis compared with the general population remains unanswered. The findings from this review will provide a basis for more well-designed studies in the future. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=364021, identifier [CRD42022364021].
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Affiliation(s)
- Xu Wenzhi
- Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key laboratory of Reproductive Dysfunction Management of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xu Xin
- Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key laboratory of Reproductive Dysfunction Management of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhou Ping
- Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wu Hanglin
- Department of Obstetrics and Gynecology, Hangzhou Women’s Hospital, Hangzhou, China
| | - Lin Xiaona
- Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key laboratory of Reproductive Dysfunction Management of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, China
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Xin X, Liu H, Sun J, Gao K, Jia R. Enhanced photocatalytic activity of Fe-, S- and N-codoped TiO 2 for sulfadiazine degradation. Int J Environ Sci Technol (Tehran) 2023; 20:1-12. [PMID: 36686289 PMCID: PMC9846705 DOI: 10.1007/s13762-023-04771-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/26/2022] [Accepted: 01/07/2023] [Indexed: 06/17/2023]
Abstract
The composite material based on N-, S-, and Fe-doped TiO2 (NSFe-TiO2) synthesized by wet impregnation was used as a photocatalyst to rapidly degrade sulfadiazine. The photocatalytic degradation behavior and mechanism of sulfadiazine on NSFe-TiO2 were investigated for revealing the role of degradation under ultraviolet light. The results showed that compared with TiO2, NSFe-TiO2 markedly improved the efficiency in photocatalytic degradation of sulfadiazine: more than 90% of sulfadiazine could be removed within 120 min by NSFe-TiO2 dosage of 20 mg L-1. The process conformed to first-order reaction kinetics model. The parameters such as loaded amount of NSFe-TiO2, solution pH value, humic acid concentration and recycle numbers on removal efficiency were also studied. Compared to neutral and alkaline conditions, acidic condition was not conducive to the photocatalysis. HA, Ca2+, Cu2+ and Zn2+ in the actual water body had mild inhibition on sulfadiazine degradation in UV/NSFe-TiO2 system. Fragments screened by high-resolution mass spectrometry were conducted to explore the oxidation mechanism and pathways of sulfadiazine degradation. On the whole, UV/NSFe-TiO2 photocatalysis has a good effect on sulfadiazine removal. Supplementary Information The online version contains supplementary material available at 10.1007/s13762-023-04771-6.
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Affiliation(s)
- X. Xin
- Shandong Province Water Supply and Drainage Monitoring Center, Jinan, 250101 China
| | - H. Liu
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
| | - J. Sun
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
| | - K. Gao
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
| | - R. Jia
- Shandong Province Water Supply and Drainage Monitoring Center, Jinan, 250101 China
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
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Xin X, Du F, Jiao Y. Plant Nuclei Isolation for Single-Nucleus RNA Sequencing. Methods Mol Biol 2023; 2686:307-311. [PMID: 37540366 DOI: 10.1007/978-1-0716-3299-4_15] [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] [Indexed: 08/05/2023]
Abstract
Transcriptome profiling has been significantly hampered by the heterogeneity among individual cells within a tissue or an organ. Recent advances in single cell transcriptome profiling have significantly advanced our understanding of the transcriptome. However, plant single-cell RNA sequencing (scRNA-seq) relies on the isolation of protoplasts, which is not only impossible for many cell types but also induces acute wounding responses. To solve these problems, single-nucleus RNA sequencing (snRNA-seq) has been applied to plant research, in which nuclei are isolated and subject to encapsulation and profiling. Compared with scRNA-seq, snRNA-seq can be applied to a wider range of tissue types and plant species. Nevertheless, fewer transcripts can be obtained from each nucleus than each protoplast. In this chapter, we describe a detailed and general protocol to prepare nuclei from plant tissues that are ready for subsequent library construction and high-throughput sequencing.
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Affiliation(s)
- Xu Xin
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Fei Du
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Yuling Jiao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology, School of Life Sciences, Peking University, Beijing, China.
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Xue M, Jia X, Shi X, Yang C, Wang R, Zhao C, Xin X, Yang Y. Association between Sarcopenia and Cognitive Trajectories among Middle-Aged and Older Adults in China: A Nationally Representative Cohort Study. J Nutr Health Aging 2023; 27:243-250. [PMID: 37170430 DOI: 10.1007/s12603-023-1906-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
OBJECTIVES The relationship between sarcopenia and cognitive function has been extensively studied, but is usually explored at a single time point. We used repeatedly measured cognitive data to examine the relationship between sarcopenia and cognitive trajectories over time among middle-aged and older Chinese adults. DESIGN A nationally representative cohort study. SETTING AND PARTICIPANTS Data were from three waves (2011, 2013 and 2015) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 8963 participants with complete baseline data (wave 1) and at least two cognitive function tests (waves 1-3) were enrolled in this study. MEASUREMENTS Sarcopenia was diagnosed at baseline (wave 1). The wave 1-3 data were used to analyze cognitive trajectories over time by constructing a latent class trajectory model (LCTM). Logistic regression model was used to analyze the association between sarcopenia and cognitive trajectories. RESULTS Among 8693 participants, we identified two trajectories of cognitive function development, including a persistent low trajectory (n= 4856, 55.86%) and a persistent high trajectory (n= 3837, 44.14%). Sarcopenia was associated with persistently low cognitive trajectory of global cognitive (OR: 1.248, 95%CI: 1.046-1.490) after adjustment for other covariates. This association was still observed when stratified by age, gender, educational level, marital status, social activity, smoking status and drinking status. Mediation analysis showed that body mass index (BMI) mediated efficacy accounting for 42.32% of the relationship. CONCLUSIONS Our study showed two trajectory groups of global cognitive function. Sarcopenia was associated with a persistent low trajectory over time and BMI mediated the relationship between sarcopenia and cognitive trajectories among middle-aged and older Chinese adults.
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Affiliation(s)
- M Xue
- Yongli Yang, Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China,
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Chen K, Lu Q, Xin X, Yang Z, Zhu L, Xu Q. Optimization of empty container allocation for inland freight stations considering stochastic demand. Ocean Coast Manag 2022; 230:106366. [PMID: 36119951 PMCID: PMC9472600 DOI: 10.1016/j.ocecoaman.2022.106366] [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] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/05/2022] [Accepted: 09/05/2022] [Indexed: 06/15/2023]
Abstract
In the post-COVID-19 epidemic era (PCEE), the supply of empty containers will face stronger uncertainty. Estimating the amount of self-owned and leased empty containers that need to be allocated to each inland freight station in a specific area becomes a critical issue for liner companies in PCEE. However, owing to the high degree of unpredictability of the demand and the limited flexibility of empty container relocation, the abovementioned issue has not been fully addressed. This paper provides a model for empty container allocation without knowing the probability distribution function of empty container demand in advance. The abovementioned model can jointly optimize the quantities of self-owned empty containers and leased containers allocated to each inland freight station. To solve the model, a largest-debt-first policy is adopted to simplify the complicated model, and a differential evolutionary (DE) algorithm is developed to solve the simplified model. Compared with some commonly used algorithms, DE has advantages considering the ability to explore the optimal solution. In addition, the utility of the largest-debt-first policy proposed in this paper is compared with that of the traditional method. Experimental results show that in the case of high demand fluctuations, the proposed policy is better in controlling the operational and management costs. Overall, the theory and method proposed in this paper can effectively help the carrier set a reasonable regional empty container stock level and determine the number of self-owned and leased empty containers.
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Affiliation(s)
- Kang Chen
- School of Maritime Economics and Management, Dalian Maritime University, Dalian, Liaoning, 116026, PR China
| | - Qingyang Lu
- School of Maritime Economics and Management, Dalian Maritime University, Dalian, Liaoning, 116026, PR China
| | - Xu Xin
- School of Economics and Management, Tongji University, Shanghai, 200092, PR China
| | - Zhongzhen Yang
- Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, PR China
| | - Lequn Zhu
- Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin, 300000, PR China
| | - Qi Xu
- Nanning Research Institute, Guilin University of Electronic Technology, Nanning, Guangxi, 530000, PR China
- Key Laboratory of ITS, Education Department of Guangxi Zhuang Autonomous Region, Guilin, Guangxi, 541004, PR China
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Zhang Y, Guo P, Guo S, Xin X, Wang Y, Huang W, Wang M, Yang B, Sobrido AJ, Ghasemi JB, Yu J, Hagfeldt A, Li X. Gradient Heating Epitaxial Growth Well Lattice‐Matched Mo2C‐Mo2N Heterointerfaces Boost Both Electrocatalytic Hydrogen Evolution and Water Vapor Splitting. Angew Chem Int Ed Engl 2022; 61:e202209703. [DOI: 10.1002/anie.202209703] [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] [Received: 07/11/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Youzi Zhang
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Peng Guo
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Shaohui Guo
- Taiyuan University of Technology College of Chemistry CHINA
| | - Xu Xin
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Yijin Wang
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Wenjing Huang
- Nanyang Technological University School of Materials Science and Engineering SINGAPORE
| | - Maohuai Wang
- City University of Hong Kong Department of Materials Science and Engineering CHINA
| | - Bowen Yang
- Uppsala Universitet Department of Chemistry-Ångström Laboratory SWEDEN
| | - Ana Jorge Sobrido
- Queen Mary University of London School of Engineering and Materials Science UNITED KINGDOM
| | - Jahan B Ghasemi
- University of Tehran Department of Chemistry IRAN (ISLAMIC REPUBLIC OF)
| | - Jiaguo Yu
- China University of Geosciences Faculty of Materials Science and Chemistry CHINA
| | - Anders Hagfeldt
- Ecole Polytechnique Federale de Lausanne School of Basic Sciences SWAZILAND
| | - Xuanhua Li
- Northwestern Polytechnical University Materials Science No.127 Youyi road, Xi'an Shanxi, China 710072 Xi'an CHINA
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17
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Zhang Y, Guo P, Guo S, Xin X, Wang Y, Huang W, Wang M, Yang B, Sobrido AJ, Ghasemi JB, Yu J, Hagfeldt A, Li X. Gradient Heating Epitaxial Growth Well Lattice‐Matched Mo2C‐Mo2N Heterointerfaces Boost Both Electrocatalytic Hydrogen Evolution and Water Vapor Splitting. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202209703] [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: 11/08/2022]
Affiliation(s)
- Youzi Zhang
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Peng Guo
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Shaohui Guo
- Taiyuan University of Technology College of Chemistry CHINA
| | - Xu Xin
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Yijin Wang
- Northwestern Polytechnic University School of Materials Science and Engineering CHINA
| | - Wenjing Huang
- Nanyang Technological University School of Materials Science and Engineering SINGAPORE
| | - Maohuai Wang
- City University of Hong Kong Department of Materials Science and Engineering CHINA
| | - Bowen Yang
- Uppsala Universitet Department of Chemistry-Ångström Laboratory SWEDEN
| | - Ana Jorge Sobrido
- Queen Mary University of London School of Engineering and Materials Science UNITED KINGDOM
| | - Jahan B Ghasemi
- University of Tehran Department of Chemistry IRAN (ISLAMIC REPUBLIC OF)
| | - Jiaguo Yu
- China University of Geosciences Faculty of Materials Science and Chemistry CHINA
| | - Anders Hagfeldt
- Ecole Polytechnique Federale de Lausanne School of Basic Sciences SWAZILAND
| | - Xuanhua Li
- Northwestern Polytechnical University Materials Science No.127 Youyi road, Xi'an Shanxi, China 710072 Xi'an CHINA
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18
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Xin X, Liu M, Wang X, Chen H, Chen K. Investment strategy for blockchain technology in a shipping supply chain. Ocean Coast Manag 2022; 226:106263. [PMID: 35996376 PMCID: PMC9385212 DOI: 10.1016/j.ocecoaman.2022.106263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/11/2022] [Accepted: 06/15/2022] [Indexed: 05/13/2023]
Abstract
In the post-COVID-19 pandemic era, how to promote blockchain technology to improve the efficiency of port customs clearance and logistics transparency has become a hot research question in the shipping industry. In this paper, we investigate the value of blockchain-based vertical cooperation led by a port or a shipping company in a one-to-two shipping service competition model. A status quo scenario and two different investment scenarios led by different stakeholders are constructed, and equilibrium solutions of the Stackelberg game in three scenarios are proposed. Meanwhile, consumer surplus and social welfare under different cooperation frameworks are discussed. We find that i) investment in blockchain technology can significantly increase the profits of shipping supply chain participants. ii) From the point of view of profit, when the investment efficiency of the port and the shipping company satisfies a certain relationship, there is a balanced strategy for both parties to invest in blockchain technology. iii) The more intense the competition for the services of shipping companies, the lower the level of blockchain technology to improve the logistics capabilities of the shipping supply chain participants. iv) The port's investment in blockchain technology brings more consumer surplus and social welfare. The abovementioned findings can provide managerial insights for ports and shipping companies and present decision support for the government to formulate blockchain technology promotion policies.
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Affiliation(s)
- Xu Xin
- School of Economics and Management, Tongji University, Shanghai, 200092, PR China
| | - Miaohui Liu
- School of Economics and Management, Tongji University, Shanghai, 200092, PR China
| | - Xiaoli Wang
- School of Economics and Management, Tongji University, Shanghai, 200092, PR China
| | - Haichao Chen
- School of Economics and Management, Tongji University, Shanghai, 200092, PR China
| | - Kang Chen
- School of Maritime Economics and Management, Dalian Maritime University, Dalian, Liaoning, 116026, PR China
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19
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Biesbroek JM, Weaver NA, Aben HP, Kuijf HJ, Abrigo J, Bae HJ, Barbay M, Best JG, Bordet R, Chappell FM, Chen CPLH, Dondaine T, van der Giessen RS, Godefroy O, Gyanwali B, Hamilton OKL, Hilal S, Huenges Wajer IMC, Kang Y, Kappelle LJ, Kim BJ, Köhler S, de Kort PLM, Koudstaal PJ, Kuchcinski G, Lam BYK, Lee BC, Lee KJ, Lim JS, Lopes R, Makin SDJ, Mendyk AM, Mok VCT, Oh MS, van Oostenbrugge RJ, Roussel M, Shi L, Staals J, Valdés-Hernández MDC, Venketasubramanian N, Verhey FRJ, Wardlaw JM, Werring DJ, Xin X, Yu KH, van Zandvoort MJE, Zhao L, Biessels GJ. Network impact score is an independent predictor of post-stroke cognitive impairment: A multicenter cohort study in 2341 patients with acute ischemic stroke. Neuroimage Clin 2022; 34:103018. [PMID: 35504223 PMCID: PMC9079101 DOI: 10.1016/j.nicl.2022.103018] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/14/2022] [Accepted: 04/22/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) is a common consequence of stroke. Accurate prediction of PSCI risk is challenging. The recently developed network impact score, which integrates information on infarct location and size with brain network topology, may improve PSCI risk prediction. AIMS To determine if the network impact score is an independent predictor of PSCI, and of cognitive recovery or decline. METHODS We pooled data from patients with acute ischemic stroke from 12 cohorts through the Meta VCI Map consortium. PSCI was defined as impairment in ≥ 1 cognitive domain on neuropsychological examination, or abnormal Montreal Cognitive Assessment. Cognitive recovery was defined as conversion from PSCI < 3 months post-stroke to no PSCI at follow-up, and cognitive decline as conversion from no PSCI to PSCI. The network impact score was related to serial measures of PSCI using Generalized Estimating Equations (GEE) models, and to PSCI stratified according to post-stroke interval (<3, 3-12, 12-24, >24 months) and cognitive recovery or decline using logistic regression. Models were adjusted for age, sex, education, prior stroke, infarct volume, and study site. RESULTS We included 2341 patients with 4657 cognitive assessments. PSCI was present in 398/844 patients (47%) <3 months, 709/1640 (43%) at 3-12 months, 243/853 (28%) at 12-24 months, and 208/522 (40%) >24 months. Cognitive recovery occurred in 64/181 (35%) patients and cognitive decline in 26/287 (9%). The network impact score predicted PSCI in the univariable (OR 1.50, 95%CI 1.34-1.68) and multivariable (OR 1.27, 95%CI 1.10-1.46) GEE model, with similar ORs in the logistic regression models for specified post-stroke intervals. The network impact score was not associated with cognitive recovery or decline. CONCLUSIONS The network impact score is an independent predictor of PSCI. As such, the network impact score may contribute to a more precise and individualized cognitive prognostication in patients with ischemic stroke. Future studies should address if multimodal prediction models, combining the network impact score with demographics, clinical characteristics and other advanced brain imaging biomarkers, will provide accurate individualized prediction of PSCI. A tool for calculating the network impact score is freely available at https://metavcimap.org/features/software-tools/lsm-viewer/.
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Affiliation(s)
- J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands.
| | - Nick A Weaver
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Hugo P Aben
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jill Abrigo
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Mélanie Barbay
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne Picardy University, 80054 Amiens Cedex, France
| | - Jonathan G Best
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Russell Square House, 10 - 12 Russell Square, London WC1B 5EH, UK
| | - Régis Bordet
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Francesca M Chappell
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Christopher P L H Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Thibaut Dondaine
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | | | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne Picardy University, 80054 Amiens Cedex, France
| | - Bibek Gyanwali
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Olivia K L Hamilton
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Irene M C Huenges Wajer
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands
| | - Yeonwook Kang
- Department of Psychology, Hallym University, Chuncheon, South Korea
| | - L Jaap Kappelle
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Paul L M de Kort
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Peter J Koudstaal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Gregory Kuchcinski
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Bonnie Y K Lam
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Byung-Chul Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Renaud Lopes
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | | | - Anne-Marie Mendyk
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | | | - Martine Roussel
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne Picardy University, 80054 Amiens Cedex, France
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China; BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Maria Del C Valdés-Hernández
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | | | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Joanna M Wardlaw
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Russell Square House, 10 - 12 Russell Square, London WC1B 5EH, UK
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | - Martine J E van Zandvoort
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands
| | - Lei Zhao
- BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
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20
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Borayek R, Foroughi F, Xin X, Mohamed AM, Abdelrahman MM, Zedan M, Zhang D, Ding J. Near-Zero Hysteresis Ionic Conductive Elastomers with Long-Term Stability for Sensing Applications. ACS Appl Mater Interfaces 2022; 14:11727-11738. [PMID: 35226459 DOI: 10.1021/acsami.1c24784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Soft conductive elastomers with low hysteresis over a wide range of stretchability are desirable in various applications. Such applications include soft sensors with a long measurement range, motion recognition, and electronic skin, just to name a few. Even though the measurement capability of the sensors based on soft materials has been greatly improved compared to the traditional ones in recent years, hysteresis in the loading and unloading states has limited the applications of these sensors, thereby negatively affecting their accuracy and reliability. In this work, conductive elastomers with near-zero hysteresis have been formulated and fabricated using 3D printing. These elastomers are made by combining highly stretchable dielectric elastomer formulations with a polar hydrophobic ionic liquid and polymerizing under ultraviolet light. High-performance piezoresistive sensors have been fabricated and characterized, with a 10-fold stretchability and low hysteresis (1.2%) over long-term stability (more than 10 000 cycles under cyclic stress) with a 20 ms response time. Additionally, the current elastomers displayed fast mechanical and electrical self-healing properties. Using 3D printing in conjunction with some of our structural innovations, we have fabricated smart gloves to show this material's wide range of applications in soft robots, motion detection, wearable devices, and medical care.
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Affiliation(s)
- Ramadan Borayek
- Department of Materials Science and Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore
| | - Firoozeh Foroughi
- Department of Materials Science and Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore
| | - Xu Xin
- Department of Materials Science and Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore
| | - Ayman Mahmoud Mohamed
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore
| | - Mahmoud M Abdelrahman
- School of Design and Environment, Faculty of Engineering, National University of Singapore, 4 Architecture Drive, Singapore 117566, Singapore
| | - Mostafa Zedan
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Singapore 138634, Singapore
| | - Danwei Zhang
- Department of Materials Science and Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore
| | - Jun Ding
- Department of Materials Science and Engineering, Faculty of Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore
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21
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Zhang YY, Xin X, Yang CY, Wang XY, Xia T, Wang HY. [The application value of plasma heterogeneous nuclear ribonucleoprotein A2/B1, Aβ 42 and P-tau in the preoperative diagnosis of mild cognitive dysfunction]. Zhonghua Yi Xue Za Zhi 2022; 102:321-325. [PMID: 35092971 DOI: 10.3760/cma.j.cn112137-20210830-01977] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the application value of plasma heterogeneous nuclear ribonucleoprotein A2/B1(hnRNP A2B1), β-amyloid 42(Aβ42) and phosphorylated tau protein(P-tau) levels in elderly patients in the preoperative diagnosis of mild cognitive impairment(MCI). Methods: A total of 200 patients who underwent elective surgery at Tianjin Third Central Hospital from June 2020 to March 2021were Enrolled, regardless of gender, age 65-80 years old. According to the international MCI working group standards and the European Alzheimer's Disease Federation working group standards, patients were divided into MCI group and control group. There were 58 males and 42 females in each group. The patient's plasma hnRNP A2/B1, Aβ42 and P-tau levels were detected before operation. The sensitivity, specificity and accuracy of the diagnosis of MCI were calculated. The receiver operating characteristic curve were drew to evaluate the diagnostic value of each index. Results: The plasma levels of hnRNP A2/B1, Aβ42 and P-tau in the MCI group were 310.0 (275.1, 344.2), 34.5 (24.9, 42.5), 190.4 (150.4, 301.7) ng/L, respectively, which were significantly higher than those of the control group [272.7 (239.6, 291.5), 18.7 (14.7, 26.6), 140.0 (101.8, 217.5) ng/L]. The differences were statistically significant (all P<0.05). Taking the international MCI working group standard as the gold standard, the sensitivity, specificity and area under the ROC curve (AUC) of plasma hnRNP A2/B1 for predicting MCI were 80%, 61%, and 0.781, respectively. The sensitivity, specificity and AUC of plasma Aβ42 for predicting MCI were 78%, 73%, and 0.744. The sensitivity, specificity, and AUC of P-tau for predicting MCI were 51%, 79%, and 0.675, respectively. The sensitivity, specificity and AUC of hnRNP A2/B1 and Aβ42 in predicting MCI were not statistically significant (all P>0.05), but the sensitivity of both were higher than P-tau (all P<0.001). Compared with P-tau, the AUC of plasma hnRNP A2/B1 was higher when predicting MCI (P<0.05). When the three indicators were combined, the sensitivity was 82%, and the AUC was 0.842, both of which were the highest, but the specificity reduced (71%) (all P<0.05). Conclusions: Plasma hnRNP A2/B1 combined with Aβ42 and P-tau levels can improve the sensitivity and accuracy of MCI diagnosis in elderly MCI patients before surgery, and have the greatest diagnostic efficiency. It has certain application value.
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Affiliation(s)
- Y Y Zhang
- Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - X Xin
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - C Y Yang
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - X Y Wang
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - T Xia
- Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - H Y Wang
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
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22
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Xin X, Zhang D, Zhao Y, Wang P, Diao P, Wu J, Yang F, Xu J, Orlandini L. Overview of the Dosimetry of Free Breathing and Breath Hold Forward Intensity Modulated Treatments in a Large Clinical Series of Left-Sided Breast Cancer Patients. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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23
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Pu G, Jin L, Xiao H, Shu-Ting W, Xi-Zhe H, Ying T, Xin X, Sheng-Yuan W, Ying B, Yibo W. Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China. Health Promot Perspect 2021; 11:288-298. [PMID: 34660223 PMCID: PMC8501483 DOI: 10.34172/hpp.2021.37] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 07/18/2021] [Indexed: 01/28/2023] Open
Abstract
Background: To adapt the scientific evaluation tool for the confusion evaluation of health rumors and to test this tool to the confusion evaluation of coronavirus disease 2019 (COVID-19)-related health rumors on Chinese online platforms during the outbreak period of COVID-19in China. Methods: The design of our study was systematic evaluation of COVID-19-related health rumors. Retrieved from 7 rumor-repellent platforms, rumors about COVID-19 were collected during the publication from December 1, 2019, to February 6, 2020, and their origins were traced. Researchers evaluated rumors using the confusion evaluation tool in 6 dimensions(creators, evidence selection, evidence evaluation, evidence application, backing and publication platform, conflict of interest). Items were scored using a seven-point Likert scale. The scores were converted into percentages, and the median of rumors from different sources was compared with rank-sum test. Results: Our research included 127 rumors. Scores were converted to percentages, median and interquartile range are used to describe the data. The median score: creators 25.00%(interquartile range, IQR, 16.67-37.50%), evidence selection 27.78% (IQR, 13.89-44.44%),evidence evaluation 33.33% (IQR, 25.00-45.83%), evidence application 36.11% (IQR, 22.22-47.22%), backing and publication platform 8.33% (IQR, 4.17-20.83%), conflict of interest75.00% (IQR, 50.00-83.33%). Almost 40% rumors came from WeChat and the rumors with the lowest scores were concentrated on the WeChat platform. The rumors about prevention methods have relatively lower scores. Conclusion: Most rumors included were not highly confusing for evaluators of this project.WeChat is the "worst-hit area" of COVID-19 related health rumors. More than half rumors focus on the description of prevention methods, which reflects the panic, anxiety and blind conformity of the public under public health emergencies.
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Affiliation(s)
- Ge Pu
- Institute of Chinese Medical Sciences & State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China
| | - Liu Jin
- The Third Clinical Department, China Medical University,Shenyang 110013,Liaoning Province,China
| | - Han Xiao
- School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, Guangdong Province, China
| | - Wei Shu-Ting
- Cheeloo College of Medicine,ShanDong University,Jinan 250012,Shandong Province,China
| | - He Xi-Zhe
- Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,Jiangxi Province,China
| | - Tang Ying
- Changzhi Medical College,Changzhi 046000,Shanxi Province,China
| | - Xu Xin
- School of Life Science, Peking University, Beijing 100871,China
| | - Wang Sheng-Yuan
- Liaoning Technical University College of the Media and Arts, Fuxin 123000,China
| | - Bian Ying
- Institute of Chinese Medical Sciences & State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China
| | - Wu Yibo
- School of Public Health, Peking University, Beijing 100191,China.,Key Research Base of Philosophy and Social Sciences in Shaanxi Province, Health Culture Research Center of Shaanxi, Xi'an 712046,China
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Ding J, Wang Y, Guo S, Zhang Y, Xin X, Tang S, Liu S, Li X. Designing Efficient MoS
2
/g‐C
3
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Hybrid Photocatalysts by Regulating the Interlayer Spacing of MoS
2. Eur J Inorg Chem 2021. [DOI: 10.1002/ejic.202100522] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Jinghan Ding
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Yijin Wang
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Shaohui Guo
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Youzi Zhang
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Xu Xin
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Songwei Tang
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Sibi Liu
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
| | - Xuanhua Li
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China
- State key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China
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25
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Xin X, Wu J, Huang L, Shang S, Chen P. Effect of Multi-Channel Integration on Customer Purchase Intention. Journal of Computer Information Systems 2021. [DOI: 10.1080/08874417.2021.1965052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Xu Xin
- School of Information Management, Shanghai Lixin University of Accounting and Finance, Shanghai, China
| | - Jilan Wu
- School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China
| | - Lei Huang
- School of Economics and Management, Tongji University, Shanghai, China
| | - Shanshan Shang
- School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Pei Chen
- Shanghai University of Finance and Economics Zhejiang College, Jinhua, China
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Zhao Y, Tang B, Li J, Wang P, Liao X, Yao X, Xin X, Orlandini L. PO-1902 Treating left-sided breast patients in breath hold using a real time surface tracking system. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)08353-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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27
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Zhang L, Song J, Xin X, Sun D, Huang H, Chen Y, Zhang T, Zhang Y. Hypoxia stimulates the migration and invasion of osteosarcoma via up-regulating the NUSAP1 expression. Open Med (Wars) 2021; 16:1083-1089. [PMID: 34322597 PMCID: PMC8299310 DOI: 10.1515/med-2020-0180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 03/17/2021] [Accepted: 05/23/2021] [Indexed: 12/14/2022] Open
Abstract
Osteosarcoma is a highly aggressive malignant tumor, which most commonly occurs in children and adolescents. This study aims to reveal that hypoxia promotes the invasion of osteosarcoma cells by up-regulating the expression of NUSAP1. The expression of HIF-1α and NUSAP1 was significantly up-regulated in MG63 cells cultured in hypoxia for 6–36 h. Furthermore, hypoxia induced the migration and invasion of MG63 cells and regulated the level of E-cad, N-cad, Vimentin, Snail, Slug, MMP2, and MMP9 proteins. Importantly, knockdown of NUSAP1 inhibited hypoxia-induced cell migration and invasion. In the hypoxia microenvironment, the addition of HIF-1α inhibitor or the transfection of siRNA specifically targeting HIF-1α significantly reduced the expression of HIF-1α and NUSAP1 and markedly inhibited the migration and invasion of MG63 cells under the hypoxia microenvironment. In conclusion, hypoxia induced the expression of NUSAP1 in a HIF-1α-dependent manner, stimulating the migration and invasion of MG63 cells.
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Affiliation(s)
- Ling Zhang
- Department of Orthopedics, Huabei Petroleum General Hospital, Huizhan Road, Renqiu 062552, Hebei, China
| | - Jingtao Song
- Department of Orthopedics, Huabei Petroleum General Hospital, Huizhan Road, Renqiu 062552, Hebei, China
| | - Xu Xin
- Department of Orthopedics, Huabei Petroleum General Hospital, Huizhan Road, Renqiu 062552, Hebei, China
| | - Donghong Sun
- Department of Orthopedics, Huabei Petroleum General Hospital, Huizhan Road, Renqiu 062552, Hebei, China
| | - Huiting Huang
- Department of Orthopedics, Huabei Petroleum General Hospital, Huizhan Road, Renqiu 062552, Hebei, China
| | - Yang Chen
- Department of Orthopedics, Huabei Petroleum General Hospital, Huizhan Road, Renqiu 062552, Hebei, China
| | - Tao Zhang
- Department of Orthopedics, Tianjin Beichen District Chinese Medicine Hospital, Tianjin 300400, China
| | - Yiming Zhang
- Department of Clinical Medicine, Tianjin Medical University, Tianjin 300070, China
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28
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Tan YK, Teo P, Saffari SE, Xin X, Chakraborty B, Ng CT, Thumboo J. A musculoskeletal ultrasound program as an intervention to improve disease modifying anti-rheumatic drugs adherence in rheumatoid arthritis: a randomized controlled trial. Scand J Rheumatol 2021; 51:1-9. [PMID: 34107851 DOI: 10.1080/03009742.2021.1901416] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Objectives: To evaluate the effect of a musculoskeletal ultrasound programme (MUSP) applying real-time ultrasonography with reinforcement of findings by a rheumatologist on improving disease-modifying anti-rheumatic drugs (DMARDs) adherence in rheumatoid arthritis (RA).Method: Eligible RA patients with low adherence score (< 6) on the 8-item Morisky Medication Adherence Scale (MMAS-8) were randomized to either an intervention group (receiving MUSP at baseline) or a control group (no MUSP), and followed up for 6 months. Adherence measures (patient-reported and pharmacy dispensing records) and clinical efficacy data were collected. The MUSP's feasibility and acceptability were assessed.Results: Among 132 recruited RA patients, six without baseline visits were excluded; therefore, 126 patients were analysed (62 intervention and 64 control). The primary outcome (proportion of patients with 1 month MMAS-8 score < 6) was significantly smaller (p = 0.019) in the intervention (35.48%) than the control group (56.25%). However, 3 and 6 month adherence and clinical efficacy outcomes were not significantly different between the two groups (all p > 0.05). All 62 patients completed the MUSP (mean time taken, 9.2 min), with the majority reporting moderately/very much improved understanding of their joint condition (71%) and the importance of regularly taking their RA medication(s) (79%). Most patients (90.3%) would recommend the MUSP to another RA patient.Conclusions: The MUSP improved RA patients' DMARDs adherence in the short term and was feasible and well accepted by patients. Future studies could evaluate whether repeated feedback using MUSP could help to sustain the improvement in DMARD adherence in RA patients, and whether this may be clinically impactful and cost-effective.
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Affiliation(s)
- Y K Tan
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Pse Teo
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - S E Saffari
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
| | - X Xin
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - B Chakraborty
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.,Department of Statistics and Applied Probability, National University of Singapore, Singapore.,Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - C T Ng
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - J Thumboo
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Weaver NA, Kuijf HJ, Aben HP, Abrigo J, Bae HJ, Barbay M, Best JG, Bordet R, Chappell FM, Chen CPLH, Dondaine T, van der Giessen RS, Godefroy O, Gyanwali B, Hamilton OKL, Hilal S, Huenges Wajer IMC, Kang Y, Kappelle LJ, Kim BJ, Köhler S, de Kort PLM, Koudstaal PJ, Kuchcinski G, Lam BYK, Lee BC, Lee KJ, Lim JS, Lopes R, Makin SDJ, Mendyk AM, Mok VCT, Oh MS, van Oostenbrugge RJ, Roussel M, Shi L, Staals J, Del C Valdés-Hernández M, Venketasubramanian N, Verhey FRJ, Wardlaw JM, Werring DJ, Xin X, Yu KH, van Zandvoort MJE, Zhao L, Biesbroek JM, Biessels GJ. Strategic infarct locations for post-stroke cognitive impairment: a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts. Lancet Neurol 2021; 20:448-459. [PMID: 33901427 DOI: 10.1016/s1474-4422(21)00060-0] [Citation(s) in RCA: 105] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 01/24/2021] [Accepted: 02/12/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) occurs in approximately half of people in the first year after stroke. Infarct location is a potential determinant of PSCI, but a comprehensive map of strategic infarct locations predictive of PSCI is unavailable. We aimed to identify infarct locations most strongly predictive of PSCI after acute ischaemic stroke and use this information to develop a prediction model. METHODS In this large-scale multicohort lesion-symptom mapping study, we pooled and harmonised individual patient data from 12 cohorts through the Meta-analyses on Strategic Lesion Locations for Vascular Cognitive Impairment using Lesion-Symptom Mapping (Meta VCI Map) consortium. The identified cohorts (as of Jan 1, 2019) comprised patients with acute symptomatic infarcts on CT or MRI (with available infarct segmentations) and a cognitive assessment up to 15 months after acute ischaemic stroke onset. PSCI was defined as performance lower than the fifth percentile of local normative data, on at least one cognitive domain on a multidomain neuropsychological assessment or on the Montreal Cognitive Assessment. Voxel-based lesion-symptom mapping (VLSM) was used to calculate voxel-wise odds ratios (ORs) for PSCI that were mapped onto a three-dimensional brain template to visualise PSCI risk per location. For the prediction model of PSCI risk, a location impact score on a 5-point scale was derived from the VLSM results on the basis of the mean voxel-wise coefficient (ln[OR]) within each patient's infarct. We did combined internal-external validation by leave-one-cohort-out cross-validation for all 12 cohorts using logistic regression. Predictive performance of a univariable model with only the location impact score was compared with a multivariable model with addition of other clinical PSCI predictors (age, sex, education, time interval between stroke onset and cognitive assessment, history of stroke, and total infarct volume). Testing of visual ratings was done by three clinicians, and accuracy, inter-rater reliability, and intra-rater reliability were assessed with Cohen's weighted kappa. FINDINGS In our sample of 2950 patients (mean age 66·8 years [SD 11·6]; 1157 [39·2%] women), 1286 (43·6%) had PSCI. We achieved high lesion coverage of the brain in our analyses (86·9%). Infarcts in the left frontotemporal lobes, left thalamus, and right parietal lobe were strongly associated with PSCI (after false discovery rate correction, q<0·01; voxel-wise ORs >20). On cross-validation, the location impact score showed good correspondence, based on visual assessment of goodness of fit, between predicted and observed risk of PSCI across cohorts after adjusting for cohort-specific PSCI occurrence. Cross-validations showed that the location impact score by itself had similar performance to the combined model with other PSCI predictors, while allowing for easy visual assessment. Therefore the univariable model with only the location impact score was selected as the final model. Correspondence between visual ratings and actual location impact score (Cohen's weighted kappa: range 0·88-0·92), inter-rater agreement (0·85-0·87), and intra-rater agreement (for a single rater, 0·95) were all high. INTERPRETATION To the best of our knowledge, this study provides the first comprehensive map of strategic infarct locations associated with risk of PSCI. A location impact score was derived from this map that robustly predicted PSCI across cohorts. Furthermore, we developed a quick and reliable visual rating scale that might in the future be applied by clinicians to identify individual patients at risk of PSCI. FUNDING The Netherlands Organisation for Health Research and Development.
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Affiliation(s)
- Nick A Weaver
- Department of Neurology and Neurosurgery, University Medical Centre (UMC) Utrecht Brain Center, Utrecht, Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, UMC Utrecht, Utrecht, Netherlands
| | - Hugo P Aben
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, Netherlands
| | - Jill Abrigo
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Mélanie Barbay
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences, Jules Verne Picardy University, Amiens, France
| | - Jonathan G Best
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK
| | - Régis Bordet
- Université Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience and Cognition, Lille, France
| | - Francesca M Chappell
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Christopher P L H Chen
- Department of Pharmacology, National University of Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore
| | - Thibaut Dondaine
- Université Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience and Cognition, Lille, France
| | | | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences, Jules Verne Picardy University, Amiens, France
| | - Bibek Gyanwali
- Department of Pharmacology, National University of Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore
| | - Olivia K L Hamilton
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Irene M C Huenges Wajer
- Department of Neurology and Neurosurgery, University Medical Centre (UMC) Utrecht Brain Center, Utrecht, Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, Netherlands
| | - Yeonwook Kang
- Department of Psychology, Hallym University, Chuncheon, South Korea
| | - L Jaap Kappelle
- Department of Neurology and Neurosurgery, University Medical Centre (UMC) Utrecht Brain Center, Utrecht, Netherlands
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Paul L M de Kort
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Gregory Kuchcinski
- Université Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience and Cognition, Lille, France
| | - Bonnie Y K Lam
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, Seoul, South Korea
| | - Renaud Lopes
- Université Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience and Cognition, Lille, France
| | - Stephen D J Makin
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Anne-Marie Mendyk
- Université Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience and Cognition, Lille, France
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | | | - Martine Roussel
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences, Jules Verne Picardy University, Amiens, France
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; BrainNow Research Institute, Shenzhen, China
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Maria Del C Valdés-Hernández
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | | | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Joanna M Wardlaw
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | - Martine J E van Zandvoort
- Department of Neurology and Neurosurgery, University Medical Centre (UMC) Utrecht Brain Center, Utrecht, Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, Netherlands
| | - Lei Zhao
- BrainNow Research Institute, Shenzhen, China
| | - J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, University Medical Centre (UMC) Utrecht Brain Center, Utrecht, Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, University Medical Centre (UMC) Utrecht Brain Center, Utrecht, Netherlands.
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Xiang L, Fong W, Low A, Leung YY, Gandhi M, Xin X, Uy E, Hamilton L, Thumboo J. POS1411 EARLY IDENTIFICATION OF AXIAL SPONDYLOARTHRITIS IN A MULTI-ETHNIC ASIAN POPULATION. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:To facilitate earlier diagnosis of spondyloarthritis (SpA), we have previously cross-culturally adapted a self-administered screening questionnaire.Objectives:We aimed to improve the sensitivity of this questionnaire as a screening tool by comparing various scoring methods.Methods:Subjects newly referred to a rheumatology clinic self-administered the questionnaire before seeing a rheumatologist. Identification of axial SpA by the questionnaire using original scoring (Method A) and scoring based on Assessment of SpondyloArthritis International Society (ASAS) inflammatory back pain (IBP) criteria (Method B), ASAS referral criteria (Method C), ASAS classification criteria (Method D) and a combination of ASAS referral and classification criteria (Method E) were compared to classification by the ASAS classification criteria and diagnosis by rheumatologist. Since Methods B-E were based on SpA features, we compared self-reported vs rheumatologist-documented features in subjects with axial SpA.Results:Of 1418 subjects (age: 54 ± 14 years, female: 73%), 39 were classified as axial SpA cases by classification criteria. Methods A-E yielded sensitivities of 39%, 72%, 67%, 49% and 85%, respectively, among patients newly referred to the rheumatology clinic (Table 1). Rheumatologist-documented clinical SpA features exceeded self-report for IBP (62 vs 44%) and uveitis (15 vs 5%). The reverse was true for arthritis (21 vs 80%), enthesitis (28 vs 33%), dactylitis (3 vs 18%), good response to NSAIDs (33 vs 41%) and family history for SpA (5 vs 10%).Table 1.Performance of the five scoring methods for the cross-culturally adapted Hamilton axial SpA questionnaire.Scoring methodSensitivity(95% confidence interval)Specificity(95% confidence interval)Positive predictive value(95% confidence interval)Negative predictive value(95% confidence interval)Method A38.5(23.4 – 55.4)93.7(92.3 – 94.9)14.7(8.5 – 23.1)98.2(97.3 – 98.8)Method B71.8(55.1 – 85.0)73.1(70.7 – 75.4)7.0(4.7 – 10.0)98.9(98.1 – 99.5)Method C66.7(49.8 – 80.9)77.8(75.5 – 80.0)7.8(5.2 – 11.3)98.8(98.0 – 99.4)Method D48.7(32.4 – 65.2)74.9(72.5 – 77.2)5.2(3.2 – 8.0)98.1(97.1 – 98.8)Method E84.6(69.5 – 94.1)37.2(34.6 – 39.8)3.7(2.5 – 5.1)98.8(97.5 – 99.6)Method A: the original scoring defined by the questionnaire developers; Method B: a scoring based on the ASAS IBP criteria; Method C: a scoring based on the ASAS referral criteria; Method D: a scoring based on the ASAS classification criteria for axial and peripheral SpA; Method E: a scoring based on a combination of the ASAS referral and classification criteria.Conclusion:A self-administered questionnaire scored based on a combination of ASAS referral and classification criteria achieved high sensitivity in identifying axial SpA in subjects referred to a rheumatology clinic. This supports its evaluation as a screening tool for axial SpA in the general population.References:[1]Xiang L, Teo EPS, Low AHL, Leung YY, Fong W, Xin X, et al. Cross-cultural adaptation of the Hamilton axial spondyloarthritis questionnaire and development of a Chinese version in a multi-ethnic Asian population. Int J Rheum Dis. 2019;22(9):1652-60.[2]Sieper J, Rudwaleit M, Baraliakos X, Brandt J, Braun J, Burgos-Vargas R, et al. The Assessment of SpondyloArthritis international Society (ASAS) handbook: a guide to assess spondyloarthritis. Annals of the rheumatic diseases. 2009;68 Suppl 2:ii1-44.[3]Poddubnyy D, van Tubergen A, Landewe R, Sieper J, van der Heijde D. Development of an ASAS-endorsed recommendation for the early referral of patients with a suspicion of axial spondyloarthritis. Annals of the rheumatic diseases. 2015;74(8):1483-7.[4]Rudwaleit M, van der Heijde D, Landewe R, Akkoc N, Brandt J, Chou CT, et al. The Assessment of SpondyloArthritis International Society classification criteria for peripheral spondyloarthritis and for spondyloarthritis in general. Annals of the rheumatic diseases. 2011;70(1):25-31.Acknowledgements:This work was supported by a Health Services Research Grant (HSRG) from the Singapore Ministry of Health National Medical Research Council [grant number: NMRC/HSRG/0075/2017].Disclosure of Interests:None declared
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Kumar R, Yee ML, Goh GB, Chia PY, Lee HL, Xin X, Teo PS, Ekstrom VS, Tan JY, Cheah MC, Wang YT, Chang JP, Tan CK, Tan HK, Krishnamoorthy TL, Chow WC. Virtual monitoring for stable chronic hepatitis B patients does not reduce adherence to medications: A randomised controlled study. J Telemed Telecare 2021; 29:261-270. [PMID: 33461398 DOI: 10.1177/1357633x20980298] [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: 01/15/2023]
Abstract
INTRODUCTION Chronic hepatitis B (CHB) remains common in endemic regions, causing significant healthcare burden. Patients with CHB may need to be adherent to nucleoside analogue (NA) for a long period of time to prevent complications. This study aims to investigate the safety, efficacy and patient experience of a virtual monitoring clinic (VMC) in monitoring stable patients taking NA for CHB. METHODS Patients on NA and regular follow-up were randomised to either VMC alternating with doctors' clinic visit or to a control group in which they continued standard follow-up by doctors. Therapy adherence was measured by medication possession ratio (MPR) for NA therapy, incidence of virological breakthrough and hepatocellular carcinoma (HCC) development at two years of follow-up. Patient acceptance was measured on a Likert scale of 1-10. RESULTS A total 192 patients completed follow-up: 94 and 98 patients in the VMC and control groups, respectively. Mean age was 60.6 ± 10.8 years, with 95.3% Chinese ethnicity and 64.1% males. Age, gender, race, educational, employment and financial status were similar in both groups. Upon study completion, the majority of patients - 76 (80.9%) in VMC group and 74 (75.5%) in control group - had MPR ≥0.8; 88.8% were satisfied and rated VMC better than a traditional follow-up clinic with doctors only. More than 85% of patients rated ≥8/10 on the Likert scale for VMC, and preferred VMC over traditional clinic visits. Clinical outcomes observed were HCC development in one (1.1%) in the VMC group and four (4.1%) in the control group (p = 0.369). Two (2.1%) and one (1.0%) virological breakthroughs were observed in the VMC and control groups, respectively (p = 0.615). No incidence of HCC or abnormal blood tests were missed in the VMC arm. DISCUSSION VMC is a viable and safe clinical model for monitoring stable CHB patients on NA therapy without compromising patients' adherence to medications and is preferred by patients.
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Affiliation(s)
- Rajneesh Kumar
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Mei-Ling Yee
- Department of Pharmacy, Singapore General Hospital, Singapore
| | - George Bb Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Pei-Yuh Chia
- Department of Nursing, Singapore General Hospital, Singapore
| | - Hwei-Ling Lee
- Department of Nursing, Singapore General Hospital, Singapore
| | - X Xin
- Health Services Research Unit, Research Office, Singapore General Hospital, Singapore
| | - Pek Se Teo
- Health Services Research Unit, Research Office, Singapore General Hospital, Singapore
| | - Victoria Sm Ekstrom
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Jin Yt Tan
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Mark Cc Cheah
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Yu T Wang
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Jason Pe Chang
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Chee-Keat Tan
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Hiang Keat Tan
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Thinesh L Krishnamoorthy
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Wan-Cheng Chow
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
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Junren C, Xiaofang X, Mengting L, Qiuyun X, Gangmin L, Huiqiong Z, Guanru C, Xin X, Yanpeng Y, Fu P, Cheng P. Pharmacological activities and mechanisms of action of Pogostemon cablin Benth: a review. Chin Med 2021; 16:5. [PMID: 33413544 PMCID: PMC7791836 DOI: 10.1186/s13020-020-00413-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [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: 08/18/2020] [Revised: 11/18/2020] [Accepted: 12/11/2020] [Indexed: 02/07/2023] Open
Abstract
Patchouli ("Guanghuoxiang") or scientifically known as Pogostemon cablin Benth, belonging to the family Lamiaceae, has been used in traditional Chinse medicine (TCM) since the time of the Eastern Han dynasty. In TCM theory, patchouli can treat colds, nausea, fever, headache, and diarrhea. Various bioactive compounds have been identified in patchouli, including terpenoids, phytosterols, flavonoids, organic acids, lignins, glycosides, alcohols, pyrone, and aldehydes. Among the numerous compounds, patchouli alcohol, β-patchoulene, patchoulene epoxide, pogostone, and pachypodol are of great importance. The pharmacological impacts of these compounds include anti-peptic ulcer effect, antimicrobial effect, anti-oxidative effect, anti-inflammatory effect, effect on ischemia/reperfusion injury, analgesic effect, antitumor effect, antidiabetic effect, anti-hypertensive effect, immunoregulatory effect, and others.For this review, we examined publications from the previous five years collected from PubMed, Web of Science, Springer, and the Chinese National Knowledge Infrastructure databases. This review summarizes the recent progress in phytochemistry, pharmacology, and mechanisms of action and provides a reference for future studies focused on clinical applications of this important plant extract.
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Affiliation(s)
- Chen Junren
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Xie Xiaofang
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Li Mengting
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Xiong Qiuyun
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Li Gangmin
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Zhang Huiqiong
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Chen Guanru
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Xu Xin
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Yin Yanpeng
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China
| | - Peng Fu
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China.
- West China School of Pharmacy, Sichuan University, 17 South Renmin Rd, 610065, Chengdu, China.
| | - Peng Cheng
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
- State Key Laboratory of Traditional Chinese Medicine Resources in Southwest China, Chengdu, 610075, China.
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu District, Chengdu, 611137, China.
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Qin S, Bi F, Cui C, Zhu B, Wu J, Xin X, Wang J, Shan J, Chen J, Zheng Z, Xu L, Wen X, You Z, Ren Z, Wu X. 982P Comparison of donafenib and sorafenib as advanced hepatocellular carcinoma first-line treatments: Subgroup analysis of an open-label, randomized, parallel-controlled, multicentre phase II/III trial. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Chen K, Xin X, Zhang T, Yang Z. Multiport cooperative location model with a safe-corridors setting in West Africa. International Journal of Logistics Research and Applications 2020. [DOI: 10.1080/13675567.2019.1708873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Kang Chen
- School of Maritime Economics and Management, Dalian Maritime University, Dalian, People’s Republic of China
| | - Xu Xin
- School of Economics and Management, Tongji University, Shanghai, People’s Republic of China
| | - Tao Zhang
- College of Transportation Engineering, Dalian Maritime University, Dalian, People’s Republic of China
| | - Zhongzhen Yang
- Faculty of Maritime and Transportation, Ningbo University, Ningbo, People’s Republic of China
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Affiliation(s)
- Dui Hongyan
- School of Management Engineering, Zhengzhou University, Zhengzhou, China
| | - Zhang Chi
- School of Management Engineering, Zhengzhou University, Zhengzhou, China
| | - Xu Xin
- School of Management Engineering, Zhengzhou University, Zhengzhou, China
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Weaver NA, Zhao L, Biesbroek JM, Kuijf HJ, Aben HP, Bae HJ, Caballero MÁ, Chappell FM, Chen CP, Dichgans M, Duering M, Georgakis MK, van der Giessen RS, Gyanwali B, Hamilton OK, Hilal S, vom Hofe EM, de Kort PL, Koudstaal PJ, Lam BY, Lim JS, Makin SD, Mok VC, Shi L, Valdés Hernández MC, Venketasubramanian N, Wardlaw JM, Wollenweber FA, Wong A, Xin X, Biessels GJ. The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study. Alzheimers Dement (Amst) 2019; 11:310-326. [PMID: 31011619 PMCID: PMC6465616 DOI: 10.1016/j.dadm.2019.02.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
INTRODUCTION The Meta VCI Map consortium performs meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping. Integration of data from different cohorts will increase sample sizes, to improve brain lesion coverage and support comprehensive lesion-symptom mapping studies. METHODS Cohorts with available imaging on white matter hyperintensities or infarcts and cognitive testing were invited. We performed a pilot study to test the feasibility of multicenter data processing and analysis and determine the benefits to lesion coverage. RESULTS Forty-seven groups have joined Meta VCI Map (stroke n = 7800 patients; memory clinic n = 4900; population-based n = 14,400). The pilot study (six ischemic stroke cohorts, n = 878) demonstrated feasibility of multicenter data integration (computed tomography/magnetic resonance imaging) and achieved marked improvement of lesion coverage. DISCUSSION Meta VCI Map will provide new insights into the relevance of vascular lesion location for cognitive dysfunction. After the successful pilot study, further projects are being prepared. Other investigators are welcome to join.
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Affiliation(s)
- Nick A. Weaver
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Lei Zhao
- BrainNow Medical Technology Limited, Hong Kong Science and Technology Park, Shatin, Hong Kong SAR, China
| | - J. Matthijs Biesbroek
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hugo J. Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hugo P. Aben
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Miguel Á.A. Caballero
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Francesca M. Chappell
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Christopher P.L.H. Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Marios K. Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | | | - Bibek Gyanwali
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Olivia K.L. Hamilton
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
- Departments of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Elise M. vom Hofe
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Paul L.M. de Kort
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Peter J. Koudstaal
- Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Bonnie Y.K. Lam
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Gerald Choa Neuroscience Centre, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jae-Sung Lim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Stephen D.J. Makin
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Vincent C.T. Mok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Gerald Choa Neuroscience Centre, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Lin Shi
- BrainNow Medical Technology Limited, Hong Kong Science and Technology Park, Shatin, Hong Kong SAR, China
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Maria C. Valdés Hernández
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | | | - Joanna M. Wardlaw
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Frank A. Wollenweber
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Adrian Wong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Gerald Choa Neuroscience Centre, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
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Johnson J, Kia C, Morikawa D, Mehl J, Imhoff F, Otto A, Muench L, Wolf M, Baldino J, Xin X, McCarthy M, Mazzocca A. Histological and Biomechanical Evaluation of Biologic Adjuvants in a Murine Tendon Bone Healing Model. Muscles Ligaments Tendons J 2019. [DOI: 10.32098/mltj.04.2019.03] [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: 11/05/2022]
Affiliation(s)
- J. Johnson
- University of Connecticut Health Center, Farmington CT, USA
| | - C. Kia
- University of Connecticut Health Center, Farmington CT, USA
| | - D. Morikawa
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Surgery, Juntendo University, Tokyo, Japan
| | - J. Mehl
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
| | - F.B. Imhoff
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
- Department of Orthopedics, Balgrist University Hospital, Zurich, Switzerland
| | - A. Otto
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
| | - L.N. Muench
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
| | - M. Wolf
- University of Connecticut Health Center, Farmington CT, USA
| | - J.B. Baldino
- University of Connecticut Health Center, Farmington CT, USA
| | - X. Xin
- University of Connecticut Health Center, Farmington CT, USA
| | - M.B. McCarthy
- University of Connecticut Health Center, Farmington CT, USA
| | - A.D. Mazzocca
- University of Connecticut Health Center, Farmington CT, USA
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Zhao Y, Ma J, Wang P, Li J, Liao X, Xin X, Xu J, Orlandini L. Impact of Positioning Errors on Dose Coverage for Breath-Hold Left-Sided Breast Treatments. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Xin X, Hou FF, Nie S. FO074REFERENCE CHANGE VALUE IN SERUM CREATININE AND DETECTION OF AKI IN ADULTS. Nephrol Dial Transplant 2019. [DOI: 10.1093/ndt/gfz096.fo074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Xu Xin
- Nanfang Hospital, Guangdong, China
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Nie S, Xin X. FO078PROTON PUMP INHIBITORS AND THE RISK OF HOSPITAL-ACQUIRED ACUTE KIDNEY INJURY IN CHILDREN. Nephrol Dial Transplant 2019. [DOI: 10.1093/ndt/gfz096.fo078] [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: 11/12/2022] Open
Affiliation(s)
- Sheng Nie
- Nanfang hospital, southern medical university, guangzhou, China
| | - Xu Xin
- nanfang hospital, guangzhou, China
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Yang A, Xin X, Yang W, Li M, Yang W, Li L, Liu X. Etanercept reduces anxiety and depression in psoriasis patients, and sustained depression correlates with reduced therapeutic response to etanercept. Ann Dermatol Venereol 2019; 146:363-371. [PMID: 31047699 DOI: 10.1016/j.annder.2019.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 01/01/2019] [Accepted: 03/06/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND The purpose of this study was to explore the correlation of anxiety and depression with therapeutic response to etanercept in psoriasis patients. PATIENTS AND METHODS One hundred and thirty-three patients with moderate-to-severe plaque psoriasis undergoing etanercept treatment were consecutively enrolled in this prospective cohort study, with all patients receiving etanercept treatment for 6 months. Psoriasis Area and Severity Index (PASI) score was evaluated at baseline (M0) and at month 1 (M1), M3 and M6 after treatment, and PASI 75/90 responses were calculated. The Hospital Anxiety and Depression Scale-Anxiety (HADS-A) score and the HADS-Depression (HADS-D) score were used to evaluate patients' anxiety and depression at M0, M1, M3 and M6. Sustained anxiety/depression were defined as HADS-A/D score≥8points both at M0 and M1. RESULTS Female gender and higher PASI score were associated with high risk of anxiety, while female gender, higher PASI score and longer disease duration were correlated with increased depression risk. After 6 months of etanercept treatment, 65.4% and 36.1% patients achieved PASI 75 and PASI 90 responses respectively, and both HADS-A and HADS-D scores were decreased. Most importantly, no correlation of baseline anxiety and depression with PASI 75 or PASI 90 response after 6 months of treatment was noted, while sustained depression, though not sustained anxiety, was observed to be correlated with decreased PASI 75 and PASI 90 responses. CONCLUSIONS Etanercept reduces anxiety and depression in psoriasis patients, and sustained depression correlates with reduced therapeutic response to etanercept.
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Affiliation(s)
- A Yang
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - X Xin
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - W Yang
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - M Li
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - W Yang
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - L Li
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - X Liu
- Department of Nursing, The 2nd Affiliated Hospital of Harbin Medical University, 246, Xuefu road, 150001 Harbin, China.
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Chen C, Xu X, Kong L, Li P, Zhou F, Zhao S, Xin X, Tan J, Zhang X. Novel homozygous nonsense mutations in LHCGR lead to empty follicle syndrome and 46, XY disorder of sex development. Hum Reprod 2019; 33:1364-1369. [PMID: 29912377 DOI: 10.1093/humrep/dey215] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 05/31/2018] [Indexed: 11/14/2022] Open
Abstract
Empty follicle syndrome (EFS) is a disorder associated with female infertility and presents as a complete failure to retrieve oocytes during ART cycles despite normal follicle development and careful aspiration. To date, only two EFS cases have been reported with homozygous missense mutations in the luteinizing hormone/chorionic gonadotropin receptor (LHCGR) gene, and both cases showed normal estradiol (E2) production during ovulation induction. The molecular genetic mechanisms of EFS remain unknown. Herein, we report two novel homozygous inactivating LHCGR mutations, c.736 C>T (p.Q246*) and c.846dupT (p.R283*), in two female EFS patients from unrelated consanguineous families. The probands had impaired E2 production during the ART process, which differs from previously reported EFS cases. The inactivating mutations not only led to EFS in the two female probands, but also resulted in 46, XY disorder of sex development (46, XY DSD) in their male siblings. As far as we know, this is the first report of LHCGR mutations leading to both EFS and 46, XY DSD within the same pedigree. Our findings provide researchers and clinicians with a better understanding of phenotype-genotype correlations between EFS and 46, XY DSD and the LHCGR gene.
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Affiliation(s)
- C Chen
- The Research Center for Medical Genomics, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, College of Basic Medical Science, China Medical University, No. 77 Puhe Road, North New Area, Shenyang, China
| | - X Xu
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - L Kong
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - P Li
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - F Zhou
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - S Zhao
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - X Xin
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - J Tan
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - X Zhang
- The Research Center for Medical Genomics, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, College of Basic Medical Science, China Medical University, No. 77 Puhe Road, North New Area, Shenyang, China
- McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, No. 5 Dongdan Santiao, Beijing, China
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Zhou M, Wu X, Jiang D, Sui C, Chen L, Cong X, Xin X, Wang G, Li Y, Tian F, Chen Z, Zhang H, Qi J, Wang Z, Wu J, Shan H, Du Y. Characterization of a moderately pathogenic pseudorabies virus variant isolated in China, 2014. Infect Genet Evol 2018; 68:161-171. [PMID: 30572029 DOI: 10.1016/j.meegid.2018.12.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 12/12/2018] [Accepted: 12/12/2018] [Indexed: 12/20/2022]
Abstract
In this study, we reported a moderately pathogenic pseudorabies virus (PRV) variant isolated from one Bartha-K61-vaccinated pig farm in Weifang, Shandong Province, China, 2014. The sick piglets in the farm were characterized by anorexia, weight loss and neurologic symptoms but did not die. Sequence alignment of the gE gene indicated that it belonged to a new mutated PRV strain and about 15% amino acid sites had mutations, deficiencies and insertions compared to the other PRV strains. The gD gene had two amino acid insertions and ten amino acid mutations in comparison with the Bartha-K61 vaccine strain. The TK and gM genes were the same as one highly pathogenic PRV TJ strain. Evidence from virus isolation, laboratory challenge, serological detection and histopathologic examination confirmed that the etiological agent of the disease is PRV SD1404, which is a moderately pathogenic strain and causes piglets to be sick but not to die. PRV SD1404 strain is different from other reports and should be paid more attention to avoid economic losses.
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Affiliation(s)
- Mingming Zhou
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China
| | - Xiangju Wu
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China
| | - Dandan Jiang
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China
| | - Chao Sui
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China
| | - Lei Chen
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China; College of life science, Shandong Normal University, Jinan 250014, China
| | - Xiaoyan Cong
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China
| | - Xu Xin
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao 266109, China
| | - Guisheng Wang
- Shandong Provincial Center for Animal Disease Control and Prevention, Jinan 250022, China
| | - Yujie Li
- Shandong Provincial Center for Animal Disease Control and Prevention, Jinan 250022, China
| | - Fulin Tian
- Shandong Provincial Center for Animal Disease Control and Prevention, Jinan 250022, China
| | - Zhi Chen
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China
| | - Hongliang Zhang
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao 266109, China
| | - Jing Qi
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China; College of life science, Shandong Normal University, Jinan 250014, China.
| | - Zhao Wang
- China Institute of Veterinary Drug Control, 8 Nandajie, Zhongguancun, Haidian, Beijing, 100081, China.
| | - Jiaqiang Wu
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China.
| | - Hu Shan
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao 266109, China.
| | - Yijun Du
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Sangyuan Road No. 8, Jinan 250100, China; College of Veterinary Medicine, Qingdao Agricultural University, Qingdao 266109, China; College of life science, Shandong Normal University, Jinan 250014, China.
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Li J, Xin X, Tang B, Wang P, Kang S, Liao X, Piermattei A, Orlandini L. Efficacy of Epid-Based In Vivo Dosimetry and Calibrated CBCT Images for a Timely Lung Cancer Replanning. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Lu D, Dong X, Feng S, Liu X, Shi X, Wu H, Diao D, Ren P, Cai R, Huang Z, Wang H, Cai K, Xin X, Ji H, Wang Z, Hong C, Sun Y, Yu X. P1.05-09 Dielectric Property Test for the Rapid Differential Diagnosis of Lung Nodules/Mass. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Chen B, Luo J, Zhou Y, Xin X, Cai R, Ling C. PIASy antagonizes Ras-driven NSCLC survival by promoting GATA2 SUMOylation. J Cancer 2018; 9:1689-1697. [PMID: 29760808 PMCID: PMC5950599 DOI: 10.7150/jca.24137] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Accepted: 02/05/2018] [Indexed: 11/05/2022] Open
Abstract
GATA2 regulated transcriptional network has been validated requisite for RAS oncogene-driven non-small cell lung cancer (NSCLC). GATA2 has been reported as a SUMOylated protein. In endothelial cells, its transcriptional activity is attenuated by SUMO-2 conjugation, which is specifically catalyzed by its E3 ligase PIASy. In this study, we found a decreased expression of PIASy in RAS mutant NSCLC cell lines and specimens with RAS mutations. Forced expression of PIASy in NSCLC cells inhibits their viability in vitro, as well as tumorigenesis and growth in vivo. Mechanistically, we demonstrated overexpression of PIASy in A549 cells altered the regulated transcriptional network of GATA2, including proteasome, IL-1-signaling, and Rho-signaling pathways. Forced expression of PIASy resulted in the accumulated SUMOylation of GATA2, attenuating its transcriptional activity in A549 cells. These results collectively suggest that PIASy plays an antagonistic role in RAS-driven NSCLC survival, by enhancing the SUMOylation of GATA2 and inhibiting its transcriptional activity.
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Affiliation(s)
- Bin Chen
- Department of Oncology, Shanghai Pulmonary Hospital, Shanghai Tongji University, Shanghai 200433, China.,Department of Respiratory Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Jie Luo
- Department of Oncology, Shanghai Pulmonary Hospital, Shanghai Tongji University, Shanghai 200433, China
| | - Yirui Zhou
- Department of Oncology, Shanghai Pulmonary Hospital, Shanghai Tongji University, Shanghai 200433, China
| | - Xu Xin
- Department of Oncology, Shanghai Pulmonary Hospital, Shanghai Tongji University, Shanghai 200433, China
| | - Rong Cai
- Department of Biochemistry & Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chunhua Ling
- Department of Respiratory Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
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Hilal S, Tan CS, Xin X, Amin SM, Wong TY, Chen C, Venketasubramanian N, Ikram MK. Prevalence of Cognitive Impairment and Dementia in Malays - Epidemiology of Dementia in Singapore Study. Curr Alzheimer Res 2018; 14:620-627. [PMID: 26428410 DOI: 10.2174/1567205012666151002123813] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 09/28/2016] [Accepted: 09/30/2015] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To study the prevalence of cognitive impairment and dementia in communitydwelling Malays from Singapore; and to examine differences in prevalence among Chinese and Malays. METHODS Subjects (≥ 60 years) - drawn from the Malay component of the on-going multiethnic Epidemiology of Dementia in Singapore study - were screened using locally validated Abbreviated Mental Test and Progressive Forgetfulness Questionnaire. Subsequently, screen-positive participants underwent detailed neuropsychological assessments and neuroimaging. Cognitive impairment no dementia (CIND) and dementia were diagnosed based on accepted criteria. RESULTS A total of 966 Malay subjects were included, of whom 102 had CIND-mild, 135 CINDmoderate, and 27 dementia. The overall age-standardized prevalence of any cognitive impairment was 25.5%, including 2% of dementia. The prevalence of any cognitive impairment increased with age from 14·9% in those aged 60-64 years to 40.2% in age ≥80 years. Women had a higher prevalence of CIND and dementia than men. Compared to previously published data from EDIS on Chinese, Malay were nearly twice more likely to have any cognitive impairment (Odds ratios adjusted for age, demographic and cardiovascular risk factors, and ApoEε4 carrier: 2.03, 95% confidence interval: 1.48-2.77). CONCLUSION Among elderly Malays, the overall prevalence of any cognitive impairment was 25.5%. Even with a similar protocol of recruitment and assessment and adjusting for known risk factors, the prevalence of cognitive impairment was higher in Malays compared to Chinese. Further research is needed to unravel other factors that may underlie these ethnic differences in the occurrence of cognitive impairment.
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Affiliation(s)
- Saima Hilal
- Memory Ageing and Cognition Centre (MACC), National University Health System, Lower Kent, Ridge Road, Singapore
| | - Chuen S Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Lower Kent, Ridge Road, Singapore
| | - Shaik M Amin
- Department of Pharmacology, National University of Singapore, Lower Kent, Ridge Road, Singapore
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
| | - Christopher Chen
- Memory Ageing and Cognition Centre (MACC), National University Health System, Lower Kent, Ridge Road, Singapore
| | | | - Mohammad K Ikram
- Academia, 20 College Road, Discovery Tower Level 6, Room 119, Lower Kent, Ridge Road, Singapore
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Xin X. EP-1938: Comparative study of Auto plan and manual plan for nasopharyngeal carcinoma IMRT radiotherapy. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32247-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Yiming Z, Dongxue Z, Ran C, Xin X, Fengmei L, Xiaolin T, Xinmin L. Dose-effect analysis of treatment by modified Zhibaidihuang decoction on polycystic ovary syndrome hyperandrogenism. J TRADIT CHIN MED 2018. [DOI: 10.1016/j.jtcm.2018.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Tan Y, Xin X, Ming Q. Prevalence and characteristics of overweight and obesity among Chinese youth aged 12-18 years: a multistage nationwide survey. Public Health 2017; 155:152-159. [PMID: 29180035 DOI: 10.1016/j.puhe.2017.08.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [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: 01/30/2017] [Revised: 08/09/2017] [Accepted: 08/28/2017] [Indexed: 11/19/2022]
Abstract
OBJECTIVE The aims of the current study were to assess the prevalence of overweight and obesity by four different references and to explore the characteristics of adolescent overweight and obesity in Chinese secondary school students aged 12-18 years. STUDY DESIGN A cross-sectional study was conducted in this study. METHODS Using stratified random cluster sampling, 8999 secondary school students were enrolled. The references developed by Must and Dallal and Dietz, the Childhood Obesity Working Group of the International Obesity Task Force, the US Centers for Disease Control and Prevention, and the Group of China Obesity Task Force (GCOTF reference) were used to identify overweight and obese students. RESULTS The prevalence of adolescent overweight and obesity vary substantially based on the four references. The prevalence of adolescent overweight and obesity based on GCOTF reference are 8.4% and 4.1%, respectively, which is significantly lower than the prevalence of overweight and obesity in their peers in 2000 (χ2 = 24.03, P < 0.01). The prevalence of overweight and obesity in boys are 12.0% and 5.7%, which are higher than those in girls, 4.6% and 5.7% (χ2 = 240.68, P < 0.01). The prevalence of overweight and obesity in singletons are higher than those in non-singletons (χ2 = 40.25, P < 0.01). The prevalence of overweight and obesity in students with lower school community ladder of subjective social status are higher than those from higher ones (χ2 = 21.61, P < 0.01). CONCLUSION The GCOTF reference is more suitable for screening overweight and obesity in Chinese adolescents. The current prevalence rates of adolescent overweight and obesity decreased, and girls made a tremendous contribution to this decreasing trend. Singletons and adolescents in lower school community ladder of subjective socio-economic status may be at higher risk of getting overweight and obesity. More effective strategies with full consideration to the characteristics above should be developed to control and prevent adolescent overweight and obesity.
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Affiliation(s)
- Y Tan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; College of Science and Technology, Hunan University of Technology, Zhuzhou, Hunan 412008, PR China.
| | - X Xin
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; Medical Psychology Department, Clinical Medical College, Ningxia Medical University, Yinchuan, Ningxia 750004, PR China.
| | - Q Ming
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, PR China.
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