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Coltman CE, Powell A, Laing SN, Davidson RA, Jaffrey MA, Zhou A, Pickering MR, Summers SJ. Can thoraco-abdominal organ boundaries be accurately determined from X-ray and anthropometric surface scans? Implications for body armour system coverage and design. Appl Ergon 2024; 119:104311. [PMID: 38763088 DOI: 10.1016/j.apergo.2024.104311] [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: 11/19/2023] [Revised: 04/29/2024] [Accepted: 05/07/2024] [Indexed: 05/21/2024]
Abstract
To optimise soldier protection within body armour systems, knowledge of the boundaries of essential thoraco-abdominal organs is necessary to inform coverage requirements. However, existing methods of organ boundary identification are costly and time consuming, limiting widespread adoption for use on soldier populations. The aim of this study was to evaluate a novel method of using 3D organ models to identify essential organ boundaries from low dose planar X-rays and 3D external surface scans of the human torso. The results revealed that, while possible to reconstruct 3D organs using template 3D organ models placed over X-ray images, the boundary data (relating to the size and position of each organ) obtained from the reconstructed organs differed significantly from MRI organ data. The magnitude of difference varied between organs. The most accurate anatomical boundaries were the left, right, and inferior boundaries of the heart, and lateral boundaries for the liver and spleen. Visual inspection of the data demonstrated that 11 of 18 organ models were successfully integrated within the 3D space of the participant's surface scan. These results suggest that, if this method is further refined and evaluated, it has potential to be used as a tool for estimating body armour coverage requirements.
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Affiliation(s)
- C E Coltman
- Discipline of Sport and Exercise Science, Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, Australia.
| | - A Powell
- Discipline of Sport and Exercise Science, Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, Australia
| | - S N Laing
- Department of Defence, Defence Science and Technology Group, Fishermans Bend, Melbourne, Victoria, Australia; Bionics Institute, East Melbourne, Australia
| | - R A Davidson
- Discipline of Medical Radiation Science, Faculty of Health, University of Canberra, Canberra, Australia
| | - M A Jaffrey
- Department of Defence, Defence Science and Technology Group, Fishermans Bend, Melbourne, Victoria, Australia
| | - A Zhou
- Health and Social Sciences, Singapore Institute of Technology, Singapore
| | - M R Pickering
- School of Engineering and IT, UNSW Canberra, Canberra, Australia
| | - S J Summers
- School of Biomedical Science, Faculty of Health, Queensland University of Technology, Australia; Brain Stimulation and Rehabilitation (BrainStAR) Lab, Western Sydney University, Australia
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2
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Zhou A, Wang J, Chen X, Xia M, Feng Y, Ji F, Huang L, Kang Z, Zhan G. Virulence Characterization of Puccinia striiformis f. sp. tritici in China Using the Chinese and Yr Single-Gene Differentials. Plant Dis 2024; 108:671-683. [PMID: 37721522 DOI: 10.1094/pdis-08-23-1524-re] [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] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most important diseases of wheat. Identifying Pst races is essential for developing resistant cultivars and managing the disease. In this study, 608 isolates collected from China in 2021 were tested with the Chinese set of 19 wheat variety differentials and the set of 18 Yr single-gene differentials. Of the 119 races detected with the Chinese set of differentials, 94 were new. A higher number (149) of races were identified using the Yr single-gene differentials. The frequencies of virulence factors to 17 of the 19 Chinese differential varieties and to 10 of the 18 Yr single-gene differentials were high (>60%). None of the isolates were virulent to the differentials Zhong 4 (Yr genes unknown) and Triticum spelta Album (Yr5) in the Chinese set and the Yr5 and Yr15 lines in the single-gene set of differentials, indicating that these genes or varieties are effective against the Pst population detected in 2021. Using Nei's genetic distance, the 16 provincial Pst populations were clustered into six groups based on the Chinese set and eight groups based on the Yr single-gene set of differentials. In addition, we found that the same races identified using the Chinese differentials could be further differentiated into different races using the Yr single-gene differentials, suggesting a higher differential capability than the Chinese set of differentials. The results provide a scientific basis for monitoring Pst populations and guiding resistance breeding in China.
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Affiliation(s)
- Aihong Zhou
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Jie Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Xianming Chen
- USDA-ARS, Wheat Health, Genetics, and Quality Research Unit and Department of Plant Pathology, Washington State University, Pullman, WA 99164-6430, U.S.A
| | - Minghao Xia
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Yaoxuan Feng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Fan Ji
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Lili Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Gangming Zhan
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
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3
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Ji F, Zhou A, Liu B, Liu Y, Feng Y, Wang X, Huang L, Kang Z, Zhan G. Sensitivity of Puccinia triticina f. sp. tritici from China to Triadimefon and Resistance Risk Assessment. Plant Dis 2023; 107:3877-3885. [PMID: 37311234 DOI: 10.1094/pdis-02-23-0277-re] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Wheat leaf rust, caused by Puccinia triticina f. sp. tritici (Pt), is distributed widely in wheat-producing areas and results in serious yield losses worldwide. In China, leaf rust has been largely controlled with a demethylation inhibitor (DMI) fungicide, triadimefon. Although high levels of fungicide resistance in pathogens have been reported, no field failure of wheat leaf rust to DMI fungicides has been reported in China. A resistance risk assessment of triadimefon to Pt was investigated in the present study. The sensitivity of 197 Pt isolates across the country to triadimefon was determined, and the density distribution of EC50 values (concentration at which mycelial growth is inhibited by 50%) showed a continuous multimodal curve because of the extensive use of this fungicide in wheat production, with a mean value of 0.46 μg/ml. The majority of the tested Pt isolates were sensitive to triadimefon, whereas 10.2% developed varying degrees of resistance. Characterization of parasitic fitness revealed that the triadimefon-resistant isolates exhibited strong adaptive traits in urediniospore germination rate, latent period, sporulation intensity, and lesion expansion rate. No correlation was observed between triadimefon and tebuconazole and hexaconazole, which have the similar mode of action, or pyraclostrobin and flubeneteram, which have different modes of action. Overexpression of the target gene Cyp51 led to the triadimefon resistance of Pt. The risk of resistance to triadimefon in Pt may be low to moderate. This study provided important data for fungicide resistance risk management against wheat leaf rust.
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Affiliation(s)
- Fan Ji
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Aihong Zhou
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Bofan Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Yue Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Yaoxuan Feng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Xiaodong Wang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Plant Protection, Hebei Agricultural University, Baoding 071000, P.R. China
| | - Lili Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
| | - Gangming Zhan
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, P.R. China
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4
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Zhang S, Zhao Y, Zhou A, Liu H, Zheng M. [Feasibility and safety of one-stage bilateral video-assisted thoracic surgery for resection of bilateral multiple pulmonary nodules]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1254-1258. [PMID: 37488809 PMCID: PMC10366508 DOI: 10.12122/j.issn.1673-4254.2023.07.23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To evaluate the feasibility and safety of one- stage bilateral video-assisted thoracic surgery (VATS) for resection of bilateral multiple pulmonary nodules (BMPNs). METHODS We analyzed the clinical characteristics, pathological features, perioperative outcomes and follow-up data of 41 patients with BMPNs undergoing one-stage bilateral VATS from July, 2011 to August, 2021. RESULTS One-stage bilateral VATS was performed uneventfully in 40 of the patients, and conversion to open surgery occurred in 1 case. The surgical approaches included bilateral lobectomy (4.9%), lobar-sublobar resection (36.6%) and sublobar-sublobar resection (58.5%) with a mean operative time of 196.3±54.5 min, a mean blood loss of 224.6±139.5 mL, a mean thoracic drainage duration of 4.7±1.1 days and a mean hospital stay of 14±3.8 days. Pathological examination revealed bilateral primary lung cancer in 15 cases, unilateral primary lung cancer in 21 cases and bilateral benign lesions in 5 cases. A total of 112 pulmonary nodules were resected, including 67 malignant and 45 benign lesions. Postoperative complications included pulmonary infection (5 cases), respiratory failure (2 cases), asthma attack (2 cases), atrial fibrillation (2 cases), and drug-induced liver injury (1 case). No perioperative death occurred in these patients, who had a 1-year survival rate of 97.6%. CONCLUSION With appropriate preoperative screening and perioperative management, one-stage bilateral VATS is feasible and safe for resection of BMPNs.
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Affiliation(s)
- S Zhang
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Y Zhao
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - A Zhou
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - H Liu
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - M Zheng
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
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5
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Ji F, Zhang J, Chen X, Liu B, Zhou A, Feng Y, Zhao J, Huang L, Kang Z, Zhan G. Effects of Flubeneteram on Inhibiting the Development of Puccinia striiformis f. sp. tritici in Wheat Leaves. J Agric Food Chem 2023; 71:5162-5171. [PMID: 36946748 DOI: 10.1021/acs.jafc.3c00499] [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] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is a serious threat to wheat production, and the application of fungicides is one of the most important means for controlling the disease. The purpose of this study is to determine the effects of a new succinate dehydrogenase inhibitor (SDHI) fungicide, flubeneteram, on reducing stripe rust. The baseline sensitivity of 173 Pst isolates from 13 provinces of China to flubeneteram was determined. Flubeneteram displayed significant effects on inhibiting SDH enzymes of Pst. Histological observations showed that after flubeneteram application, the formation and development of Pst hyphae and haustoria were significantly inhibited, and the structures were destroyed. Flubeneteram primed wheat for salicylic acid-induced defenses via upregulating pathogenesis-related genes (PR1 and PR2). Altogether, our study is the first to provide evidence that flubeneteram induces wheat defense against Pst infection. The findings indicate that flubeneteram could be an effective fungicide for managing stripe rust.
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Affiliation(s)
- Fan Ji
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Juntian Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Xianming Chen
- USDA-ARS, Wheat Health, Genetics, and Quality Research Unit and Department of Plant Pathology, Washington State University, Pullman, Washington 99164-6430, United States
| | - Bofan Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Aihong Zhou
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Yaoxuan Feng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Jun Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Lili Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
| | - Gangming Zhan
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A & F University, Yangling 712100, P. R. China
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6
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Jia J, Zhang Y, Shi Y, Yin X, Wang S, Li Y, Zhao T, Liu W, Zhou A, Jia L. Erratum to: A 19-Year-Old Adolescent with Probable Alzheimer's Disease. J Alzheimers Dis 2023; 92:1501-1502. [PMID: 37038824 DOI: 10.3233/jad-239001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
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7
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Larson E, Ruck J, Zhou A, Shou B, Kilic A. Outcomes of Heart Transplant for Valve Disease. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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8
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Larson E, Jiang K, Ruck J, Shou B, Zhou A, Kilic A. Outcomes of Heart-Lung Transplant Compared to Lung Transplant in Patients with Secondary Pulmonary Hypertension. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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9
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Casillan A, Larson E, Ruck J, Zhou A, Ha J, Shah P, Merlo C, Bush E. Combined Lung-Kidney Transplantation Yields Better Survival Than Isolated Lung Transplantation in Recipients with Underlying Renal Failure. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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10
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Wu X, Zhou A, Heller M, Kohlbrenner R. Abstract No. 286 Prostate Artery Embolization and Minimally Invasive Urologic Procedures for Benign Prostatic Hyperplasia: A Cost-Effectiveness Analysis. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023] Open
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11
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Quan M, Wang Q, Qin W, Wang W, Li F, Zhao T, Li T, Qiu Q, Cao S, Wang S, Wang Y, Jin H, Zhou A, Fang J, Jia L, Jia J. Shared and unique effects of ApoEε4 and pathogenic gene mutation on cognition and imaging in preclinical familial Alzheimer's disease. Alzheimers Res Ther 2023; 15:40. [PMID: 36850008 PMCID: PMC9972804 DOI: 10.1186/s13195-023-01192-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/13/2023] [Indexed: 03/01/2023]
Abstract
BACKGROUND Neuropsychology and imaging changes have been reported in the preclinical stage of familial Alzheimer's disease (FAD). This study investigated the effects of APOEε4 and known pathogenic gene mutation on different cognitive domains and circuit imaging markers in preclinical FAD. METHODS One hundred thirty-nine asymptomatic subjects in FAD families, including 26 APOEε4 carriers, 17 APP and 20 PS1 mutation carriers, and 76 control subjects, went through a series of neuropsychological tests and MRI scanning. Test scores and imaging measures including volumes, diffusion indices, and functional connectivity (FC) of frontostriatal and hippocampus to posterior cingulate cortex pathways were compared between groups and analyzed for correlation. RESULTS Compared with controls, the APOEε4 group showed increased hippocampal volume and decreased FC of fronto-caudate pathway. The APP group showed increased recall scores in auditory verbal learning test, decreased fiber number, and increased radial diffusivity and FC of frontostriatal pathway. All three genetic groups showed decreased fractional anisotropy of hippocampus to posterior cingulate cortex pathway. These neuropsychological and imaging measures were able to discriminate genetic groups from controls, with areas under the curve from 0.733 to 0.837. Circuit imaging measures are differentially associated with scores in various cognitive scales in control and genetic groups. CONCLUSIONS There are neuropsychological and imaging changes in the preclinical stage of FAD, some of which are shared by APOEε4 and known pathogenic gene mutation, while some are unique to different genetic groups. These findings are helpful for the early identification of Alzheimer's disease and for developing generalized and individualized prevention and intervention strategies.
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Affiliation(s)
- Meina Quan
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Qi Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Wei Qin
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Wei Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Fangyu Li
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Tan Zhao
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Tingting Li
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Qiongqiong Qiu
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Shuman Cao
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Shiyuan Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Yan Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Hongmei Jin
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Aihong Zhou
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Jiliang Fang
- grid.464297.aGuang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Longfei Jia
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. .,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China. .,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China. .,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. .,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China.
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12
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Jia J, Zhang Y, Shi Y, Yin X, Wang S, Li Y, Zhao T, Liu W, Zhou A, Jia L. A 19-Year-Old Adolescent with Probable Alzheimer's Disease. J Alzheimers Dis 2023; 91:915-922. [PMID: 36565128 DOI: 10.3233/jad-221065] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Alzheimer's disease (AD) primarily affects older adults. In this report, we present the case of a 19-year-old male with gradual memory decline for 2 years and World Health Organization-University of California Los Angeles Auditory Verbal Learning Test (WHO-UCLA AVLT) results also showing memory impairment. Positron emission tomography-magnetic resonance imaging with 18F fluorodeoxyglucose revealed atrophy of the bilateral hippocampus and hypometabolism in the bilateral temporal lobe. Examination of the patient's cerebrospinal fluid showed an increased concentration of p-tau181 and a decreased amyloid-β 42/40 ratio. However, through whole-genome sequencing, no known gene mutations were identified. Considering the above, the patient was diagnosed with probable AD.
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Affiliation(s)
- Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, P.R. China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, P.R. China.,Center of Alzheimer's Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, P.R. China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, P.R. China
| | - Yue Zhang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Yuqing Shi
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Xuping Yin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Shiyuan Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Tan Zhao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Wenying Liu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
| | - Longfei Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P.R. China
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13
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Chen Z, Su Y, Peng D, Wang W, Zhong J, Zhou A, Tan L. Circ_0124055 promotes the progression of thyroid cancer cells through the miR-486-3p/MTA1 axis. J Endocrinol Invest 2023:10.1007/s40618-022-01998-x. [PMID: 36604405 DOI: 10.1007/s40618-022-01998-x] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/08/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Thyroid cancer is one of the malignancy cancers. CircRNA, a non-coding RNA, plays an important role in the development of cancer. The relationship and roles of circ_0124055, miR-486-3p and MTA1 in thyroid cancer have not been reported. METHODS Real-time quantitative polymerase chain reaction (RT-qPCR) was performed to analyze the RNA levels of circ_0124055, miR-486-3p and MTA1. Western blot was conducted to analyze the protein levels of MTA1, Epithelial cadherin (E-cadherin) and Neuro cadherin (N-cadherin). Subcellular localization assay was used to analyze circ_0124055 location in thyroid cancer cells. Colony formation assay and 5-Ethynyl-2'-deoxyuridine (EdU) assay were carried out to analyze cell proliferation. Cell migration and invasion were analyzed by wound-healing assay and transwell assay. Flow cytometry assay was performed to investigate cell apoptosis. Dual-luciferase reporter assay and RIP assay were employed to analyze the interactions among circ_0124055, miR-486-3p and MTA1. Immunohistochemical (IHC) assay was performed to assess the expression of Ki67, MTA1 and E-cadherin in tumor tissues. Thyroid cancer tumor growth in vivo was evaluated by tumor xenograft mouse model assay. RESULTS The expression of circ_0124055 was up-regulated in tumor tissues and cells. Knockdown of circ_0124055 could inhibit thyroid cancer cell proliferation, migration and invasion and promote cell apoptosis, accompanied by the dysregulation of E-cadherin and N-cadherin expression. Circ_0124055 could target miR-486-3p, and miR-486-3p could target MTA1. MiR-486-3p inhibitor could restore the effect of circ_0124055 knockdown in the progression of thyroid cancer. Moreover, MTA1 overexpression weakened the inhibitory effects of miR-486-3p mimics on the progression of thyroid cancer. Further, circ_0124055 could influence tumor growth in vivo. CONCLUSION Circ_0124055 promoted the progression of thyroid cancer cells through the miR-486-3p /MTA1 axis.
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Affiliation(s)
- Z Chen
- Department of Nuclear Medicine, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China
| | - Y Su
- Department of Nuclear Medicine, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China
| | - D Peng
- Department of Nuclear Medicine, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China
| | - W Wang
- Department of Nuclear Medicine, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China
| | - J Zhong
- Department of Nuclear Medicine, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China
| | - A Zhou
- Department of Nuclear Medicine, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China
| | - L Tan
- Department of Nuclear Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China.
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14
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Summers SJ, Laing SN, Davidson RA, Jaffrey MA, Zhou A, Coltman CE. Do thoracoabdominal organ boundaries differ between males and females? Implications for body armour coverage and design. Appl Ergon 2023; 106:103891. [PMID: 36113184 DOI: 10.1016/j.apergo.2022.103891] [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] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/21/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
To optimise fit and protection of body armour systems, knowledge of the location of thoracoabdominal organ boundaries is required. The aims of this study were (i) determine the effect of sex on essential and desirable thoracoabdominal organ boundaries, and (ii) compare essential thoracoabdominal organ boundaries with small and large hard ballistic plate sizes from the National Institute of Justice (NIJ) and determine if coverage requirements differ between sexes. 33 males and 33 females underwent supine magnetic resonance imaging of their thoracoabdominal organs. Male participants on average displayed more laterally and inferiorly positioned essential and desirable organ boundaries than females. Based on NIJ plate sizes, insufficient coverage of essential organs was identified for male and female participants. A greater range of body armour sizes and designs that better cater to the diverse anatomy of soldier populations is warranted, but must be considered in the context of ergonomic and performance implications.
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Affiliation(s)
- S J Summers
- Discipline of Sport and Exercise Science, Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, Australia; School of Biomedical Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - S N Laing
- Department of Defence, Defence Science and Technology Group, Fishermans Bend, Melbourne, Victoria, Australia
| | - R A Davidson
- Discipline of Medical Radiation Science, Faculty of Health, University of Canberra, Canberra, Australia
| | - M A Jaffrey
- Department of Defence, Defence Science and Technology Group, Fishermans Bend, Melbourne, Victoria, Australia
| | - A Zhou
- Discipline of Medical Radiation Science, Faculty of Health, University of Canberra, Canberra, Australia
| | - C E Coltman
- Discipline of Sport and Exercise Science, Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, Australia.
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15
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Kampaktsis P, Doulamis I, Tzani A, Ruck J, Zhou A, Shah M, Kilic A, Kourek C, Briasoulis A. Outcomes of patients after repeat heart transplantation – insights from the UNOS database. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Cardiac graft failure may require repeat heart transplantation (HTx). Outcomes of patients that undergo repeat HTx have not been well described.
Methods
We compared patients that received repeat HTx with patients that received initial HTx by inquiring the United Network for Organ Sharing database between 2015–2021. The primary endpoint was all-cause mortality.
Results
A total of 19,805 HTx patients were included in the study. Patients that underwent repeat HTx (n=578, 3%) were younger (43.8±15.3 vs. 53.7±12.7 years, p<0.001) with lower body mass index (26.8±5.3 vs. 27.6±4.9 kg/m2, p<0.001) and worse renal function (Cr 1.8±1.4 vs. 1.4±0.9 mg/dl). Patients with repeat HTx had increased risk for 1-year mortality (hazard ratio 1.49 [1.16–1.90], p=0.002) compared to patients with initial HTx after adjusting for age, ethnicity, use of left ventricular assist device, UNOS recipient status, diabetes, ischemic time, donor age and predicted heart mass mismatch (Figure 1). Results did not change with the new allocation system (10/2018).
Conclusion
Repeat HTx occurred in 3% of a contemporary UNOS cohort and carried an increased and independent risk for mortality.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- P Kampaktsis
- Columbia University Medical Center , New York , United States of America
| | - I Doulamis
- Johns Hopkins University School of Medicine , Baltimore , United States of America
| | - A Tzani
- Brigham and Women'S Hospital, Harvard Medical School , Boston , United States of America
| | - J Ruck
- Johns Hopkins University School of Medicine , Baltimore , United States of America
| | - A Zhou
- Johns Hopkins University School of Medicine , Baltimore , United States of America
| | - M Shah
- Johns Hopkins University School of Medicine , Baltimore , United States of America
| | - A Kilic
- Johns Hopkins University School of Medicine , Baltimore , United States of America
| | - C Kourek
- National & Kapodistrian University of Athens Medical School , Athens , Greece
| | - A Briasoulis
- University of Iowa Hospitals and Clinics , Iowa , United States of America
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16
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Sun Y, Qu W, Sun M, Zhou J, Bi X, Zhou A. 1743P ALTN-AK105-II-02 cohort 4: A phase II study of penpulimab plus anlotinib in patients (pts) with previously treated locally advanced or metastatic urothelial carcinoma (UC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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17
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Zhang J, Zhou A, Jawaid A, Adebayo O, Hashmi Y, Krkovic M, Ahmed Z. 876 Veriset Haemostatic Patch, Indications, Benefits and Complications: A Systematic Review. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Aim
Achieving haemostasis intraoperatively is important for minimising blood loss, complications, and operation time. Suturing, cauterisation, fibrin glues and patches are used for this purpose. We explore Veriset, a patch consisting of polyethylene glycol and oxidised cellulose, to determine and compare its safety and effectiveness.
Method
Medline, Embase, Web of Science, Scopus, Cinahl and Cochrane databases were searched. Data points collected were Study/subject characteristics/demographics, surgery/specialty, time to haemostasis, proportion of haemostasis achieved, intraoperative adverse events, post operative complications, follow up time, and biochemical/histological analysis. Risk of Bias was assessed by Newcastle-Ottawa Scale
Results
Six studies were included; four human trials (3 RCTs, 1 case series) and two animal trials.
The human trials combined had 250 patients, with 147 using Veriset. In two RCTs, Veriset showed faster time to haemostasis and higher proportion of haemostasis achieved vs suturing and Tachosil haemostatic patch. In all three RCTs, no significant differences in adverse events and complications were seen between Veriset and suturing/Tachosil. Vascular, nephrectomy and hepatic surgery were investigated.
In the animal studies, the pig trial showed similar effectiveness and safety as the human trials. The rat study compared novel experimental patches to Veriset, and showed similar effectiveness to Veriset, at reduced costs.
Conclusions
Although current literature is scarce, Veriset is more effective than alternatives for haemostasis, with similar safety, although there are now other experimental patches that could have better health economic implications. Further clinical trials would be necessary to determine the breadth of applicable surgical fields for Veriset.
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Affiliation(s)
- J Zhang
- Clinical School of Medicine, University of Cambridge , Cambridge , United Kingdom
| | - A Zhou
- Clinical School of Medicine, University of Cambridge , Cambridge , United Kingdom
| | - A Jawaid
- University of Birmingham , Birmingham , United Kingdom
| | - O Adebayo
- University of Birmingham , Birmingham , United Kingdom
| | - Y Hashmi
- University of Birmingham , Birmingham , United Kingdom
| | - M Krkovic
- Addenbrookes Hospital , Cambridge , United Kingdom
| | - Z Ahmed
- University of Birmingham , Birmingham , United Kingdom
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18
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Lu V, Tennyson M, Zhou A, Fortune M, Thahir A, Krkovic M. 180 Retrograde Hindfoot Nailing for the Treatment of Acute Ankle Fractures in the Elderly - a Systematic Review and Meta-Analysis. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Abstract
Aim
Fragility ankle fractures are traditionally managed conservatively or with open reduction internal fixation (ORIF). Tibiotalocalcaneal (TTC) nailing is an alternative option for the geriatric patient. This meta-analysis provides the most detailed analysis of hindfoot nailing for fragility ankle fractures.
Method
A systematic search was performed on MEDLINE, EMBASE, Cochrane Library, Scopus, Web of Science, identifying fourteen studies for inclusion. Studies including patients over 60 with a fragility ankle fracture, treated with TTC nail were included. Patients with a previous fracture of the ipsilateral limb, fibular nails, and pathological fractures were excluded.
Meta-regression analyses were performed to explore sources of heterogeneity, and publication bias was assessed using Egger's test.
Results
312 ankle fractures were included. The mean age was 77.3 (32–101) years. 26.9% were male, and 41.9% were diabetics. The pooled proportion of superficial infection, deep infection, implant failure, malunion, and all-cause mortality was 0.10 (95%CI:0.06–0.16; I2=44%), 0.08 (95%CI:0.06–0.11, I2=0%), 0.11 (95%CI:0.07–0.15,I2=0%), 0.11 (95%CI:0.06–0.18; I2=51%), and 0.27 (95%CI:0.20–0.34; I2=11%), respectively. The pooled mean post-operative OMAS score was 54.07 (95%CI:48.98–59.16; I2=85%). The best-fitting meta-regression model included age and percentage of male patients as covariates (p=0.0263), and were inversely correlated with higher OMAS scores. Egger's test (p=0.56) showed no significant publication bias.
Conclusions
TTC nailing is an adequate alternative option for fragility ankle fracture management. However, current evidence includes mainly case series with inconsistent outcome measures reported and post-operative rehabilitation protocols. Prospective RCTs with long follow-up times and large cohort sizes are needed to clearly guide the use of TTC nailing for ankle fractures.
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Affiliation(s)
- V Lu
- University of Cambridge , Cambridge , United Kingdom
| | - M Tennyson
- Addenbrooke's Hospital , Cambridge , United Kingdom
| | - A Zhou
- University of Cambridge , Cambridge , United Kingdom
| | - M Fortune
- Department of Public Health and Primary Care, University of Cambridge , Cambridge , United Kingdom
| | - A Thahir
- Addenbrooke's Hospital , Cambridge , United Kingdom
| | - M Krkovic
- Addenbrooke's Hospital , Cambridge , United Kingdom
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19
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Zhang J, Lu V, Zhou A, Thahir A, Krkovic M. 893 Predictors for Infection Severity in Open Tibial Fractures. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Aim
Open tibial fractures can be difficult to manage - many factors could affect treatment and outcome, including being complicated by infection. We present a cohort of 244 patients and analyse which factors are significantly associated with infection outcome.
Method
Open tibia fractures treated at a major trauma centre between 2015–2021 were included.
Infection status was categorized into no infection, superficial infection, osteomyelitis. Data collected were Age, mode of injury, polytrauma, fibula status, Gustilo-Anderson (GA) classification, wound contamination, time to first procedure. time to definitive plastics procedure, time to definitive fixation, type of definitive fixation, smoking/diabetic status, and BMI.
Multicollinearity was calculated, with highly correlated factors removed. Multinomial logistic regression was performed. Chi-Squared test, with Post-Hoc Bonferroni correction was performed for complex categorical factors.
Results
244 patients were included. Polytrauma and fibula status, and type of definitive fixation were excluded from the multivariate model due to strong multicollinearity. Compared to non-infected outcome, patients with superficial infection had higher BMI (p<0.01), higher GA grade (p<0.01), and osteomyelitis patients had longer time to definitive fixation (p=0.049) and longer time to definitive plastics procedure (p=0.013), higher GA grade, and wound contamination.
Post-hoc analysis showed “no infection” was positively associated with GA-I (p=0.029) and GA-II (p<0.01), and negatively associated with GA-IIIC (p<0.01). Osteomyelitis was positively associated with GA-IIIc (p<0.01)
Conclusions
This study investigated associations between injury and presentation factors that may have been associated with infection. We suggest clinicians should give extra consideration to the factors highlighted during management and take preventative measures to mitigate the infection risk.
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Affiliation(s)
- J Zhang
- Clinical School, University of Cambridge , Cambridge , United Kingdom
| | - V Lu
- Clinical School, University of Cambridge , Cambridge , United Kingdom
| | - A Zhou
- Clinical School, University of Cambridge , Cambridge , United Kingdom
| | - A Thahir
- Addenbrookes Hospital , Cambridge , United Kingdom
| | - M Krkovic
- Addenbrookes Hospital , Cambridge , United Kingdom
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20
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Lu V, Tennyson M, Zhang J, Thahir A, Zhou A, Krkovic M. 245 Ankle Fusion with Tibiotalocalcaneal Retrograde Nail for Fragility Ankle Fractures: Outcomes at a Major Trauma Centre. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Abstract
Aim
Fragility ankles fractures in the geriatric population are challenging to manage, due to fracture instability, soft tissue compromise, and patient co-morbidities. Traditional management options include open reduction internal fixation, or conservative treatment, both of which are fraught with high complication rates. We aimed to present functional outcomes of elderly patients with fragility ankle fractures treated with retrograde ankle fusion nails.
Method
171 patients received a tibiotalocalcaneal nail over a six-year period, but only twenty met the inclusion criteria of being over sixty and having poor bone stock. Primary outcome was mortality risk from co-morbidities according to Charlson co-morbidity index (CCI), and patients’ post-operative mobility status compared to pre-operative mobility. Secondary outcomes include intra-operative and post-operative complications, six-month mortality rate, time to mobilisation and union.
Results
Mean age was 77.82 years old. The average CCI was 5.05. Thirteen patients returned to their pre-operative mobility state. Patients with low CCI are more likely to return to pre-operative mobility status (p=0.16;OR=4.00).
Average time to bone union and mobilisation were 92.5 days and 7.63 days, respectively. Mean post-operative AOFAS ankle-hindfoot and Olerud-Molander scores were 53.0 and 50.9, respectively. There were four cases of superficial infection. Patients with high CCI were more likely to acquire superficial infections (p=0.264,OR=3.857). There were no deep infections, periprosthetic fractures, nail breakages, non-unions. Average follow-up time was 499.3 days.
Conclusions
Tibiotalocalcaneal nailing is an effective and safe option for managing fragility ankle fractures in the elderly. This technique leads to lower complication rates and earlier mobilisation than traditional fixation methods.
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Affiliation(s)
- V Lu
- University of Cambridge , Cambridge , United Kingdom
| | - M Tennyson
- Addenbrooke's Hospital , Cambridge , United Kingdom
| | - J Zhang
- University of Cambridge , Cambridge , United Kingdom
| | - A Thahir
- Addenbrooke's Hospital , Cambridge , United Kingdom
| | - A Zhou
- University of Cambridge , Cambridge , United Kingdom
| | - M Krkovic
- Addenbrooke's Hospital , Cambridge , United Kingdom
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21
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Zimar Z, Robert D, Zhou A, Giustozzi F, Setunge S, Kodikara J. Application of coal fly ash in pavement subgrade stabilisation: A review. J Environ Manage 2022; 312:114926. [PMID: 35364515 DOI: 10.1016/j.jenvman.2022.114926] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 03/14/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
Expansive clays are found in many countries worldwide, and they exhibit inherent volume change during the seasonal moisture variation causing cracks, heaves, and damages to the overlying pavements. Chemical stabilisation is one of the most used approaches to treat the expansive clay subgrades. Cement, Lime and Fly ash are the most commonly used stabilisers, in which fly is cheaper and a by-product obtained from the coal power plant. This paper reviews fly ash stabilisation on various clay types, including low plasticity clays, high plasticity clays, silty clays, organic clays, and peats. The review begins with the properties of fly ash, followed by the characteristics of fly ash stabilised subgrades. The micro-level mechanism, physical, mechanical, and hydraulic characteristics of stabilised pavements are presented graphically for the Class C, and F fly ashes. The micro-level studies reveal that the pozzolanic reaction is stronger than the cation exchange during the fly ash stabilisation. The unconfined compressive strength (UCS), California bearing ratio (CBR) and resilient modulus (Mr) increased with the fly ash addition and curing time for most soft soils except peat clays. Based on the mechanical and hydraulic characteristics, using 15% class C fly ash with 7 days of curing is recommended for optimum performance. Although few research studies confirm that the leachate limit of stabilised soil is within the acceptable limit, further studies are required to investigate the uptake of heavy metals and other certain carcinogenic contaminants. This study will provide key information for researchers and Engineers on the selection of fly ash stabilisation measures for expansive subgrades.
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Affiliation(s)
- Z Zimar
- Civil Engineering Department, School of Engineering, RMIT University, VIC, 3001, Australia
| | - D Robert
- Civil Engineering Department, School of Engineering, RMIT University, VIC, 3001, Australia.
| | - A Zhou
- Civil Engineering Department, School of Engineering, RMIT University, VIC, 3001, Australia
| | - F Giustozzi
- Civil Engineering Department, School of Engineering, RMIT University, VIC, 3001, Australia
| | - S Setunge
- Civil Engineering Department, School of Engineering, RMIT University, VIC, 3001, Australia
| | - J Kodikara
- Civil Engineering Department, Monash University, VIC, Australia
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22
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Zhou A, Herzke C, Hong K. Abstract No. 256 Implementation and early performance of a joint internal medicine–interventional radiology bedside procedure service. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.337] [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] Open
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23
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Qu W, Jiang Z, Liu Z, Zhu L, Chen X, Liu B, Zhao Y, Li S, Yan H, Qu X, Zang A, Sun Y, Zhou A. P-246 Real-world outcomes in metastatic colorectal patients receiving regorafenib treatment in China. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Zhou A, Wu X, Youm J, Heller M, Lam A. Abstract No. 203 Drug-coated balloon angioplasty versus conventional balloon angioplasty for arteriovenous fistula stenosis: a cost effectiveness study. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.284] [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: 10/18/2022] Open
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Zhan G, Ji F, Zhao J, Liu Y, Zhou A, Xia M, Zhang J, Huang L, Guo J, Kang Z. Sensitivity and Resistance Risk Assessment of Puccinia striiformis f. sp. tritici to Triadimefon in China. Plant Dis 2022; 106:1690-1699. [PMID: 34962420 DOI: 10.1094/pdis-10-21-2168-re] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a destructive disease of wheat that seriously threatens production safety in wheat-producing areas worldwide. In China, the disease has been largely controlled with the fungicide triadimefon. Although high levels of fungicide resistance in other fungal pathogens have been reported, failure to control Pst with any fungicides has seldomly been reported, and fungicide sensitivity of Pst has not been evaluated in China. The distribution of triadimefon-resistant Pst isolates was investigated in the present study. The baseline sensitivity of 446 Pst isolates across the country to triadimefon was determined, and the concentration for 50% of maximal effect showed a unimodal distribution curve, with a mean value of 0.19 μg ml-1. The results indicated a wide range of sensitivity to triadimefon, with more insensitive isolates collected from Pst winter-increasing areas and northwest oversummering areas, whereas more sensitive isolates were collected from southwest oversummering areas and epidemic areas of Xinjiang and Tibet. The majority of the tested Pst isolates were sensitive to triadimefon; only 6.79% had developed varying degrees of resistance. Characterization of parasitic fitness revealed that the triadimefon-resistant isolates exhibited strong adaptive traits in the urediniospore germination rate, latent period, sporulation intensity, and lesion expansion rate. Positive cross-resistance was observed between triadimefon and tebuconazole or hexaconazole, but not between pyraclostrobin or flubeneteram. The point mutation Y134F in the 14α-demethylase enzyme (CYP51) was detected in triadimefon-resistant isolates. A molecular method (kompetitive allele-specific PCR) was established for the rapid detection of Y134F mutants in the Pst population. Two genotypes with one point mutation Y134F conferred resistance to triadimefon in Pst. The risk of resistance to triadimefon in Pst may be low to moderate. This study provided important data for establishment of high throughput molecular detection methods, fungicide resistance risk management, and the development of new target fungicides.
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Affiliation(s)
- Gangming Zhan
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Fan Ji
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Jun Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Yue Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Aihong Zhou
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Minghao Xia
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Juntian Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Lili Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Jun Guo
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
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Ma H, Lu X, Zhou A, Wang F, Zuo X, Zhan M, Zou Q, Gong S, Chen Y, Lyu J, Jia L, Jia J, Wei C. Clinical Practice Guidelines for the Management of Behavioral and Psychological Symptoms of Dementia: A Systematic Review With AGREE II. Front Neurol 2022; 13:799723. [PMID: 35693007 PMCID: PMC9174457 DOI: 10.3389/fneur.2022.799723] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 04/22/2022] [Indexed: 12/20/2022] Open
Abstract
Background High-quality clinical practice guidelines (CPGs) are important for the effective treatment of behavioral and psychological symptoms of dementia (BPSD). However, recommendations provided by different quality guidelines may lead to varied clinical practice outcomes. Objective To assess the quality of available CPGs for the management of BPSD and summarize the best recommendations for treating BPSD. Methods This was a systematic review of CPGs for the management of BPSD with data obtained from electronic databases and evaluated using the Appraisal of Guidelines for Research and Evaluation II instrument, consisting of six domains: “Scope and purpose”, “Stakeholder involvement”, “Rigor of development”, “Clarity of presentation”, “Applicability”, and “Editorial independence”. The criteria for high-quality guidelines were set as: the score of high-quality guidelines in the “Rigor of development” domain should be ≥60% and as well as a score of >60% in at least three other domains. High-quality guidelines were selected for recommendation extraction, and the final recommendations were formed in combination with the latest meta-analysis and randomized clinical-trial results. Results In term of median scores in each domain for the six included CPGs, “Scope and purpose” (87.5%) scored better than all others, whereas “Applicability” (46.5%) was the domain with the lowest score. Four CPGs (2015 APA, 2018 NICE, 2018 CANADA, 2020 EAN) met the criteria of high-quality guidelines and were used to extract recommendations. From these four CPGs, nine specific recommendations related to the management of BPSD were summarized, of which seven were related to pharmacological treatment and two to non-pharmacological treatment. These recommendations covered the applicability of antipsychotic drugs, medication recommendations, withdrawal times, and several suitable non-pharmacological therapies. Conclusion The quality of CPGs for the management of BPSD requires improvement, especially for the “Applicability” domain. For psychotic-like symptoms in dementia, the use of antipsychotics should be based on the individual's risk-benefit ratio, and the use of atypical antipsychotics seems to be a better choice. Non-pharmacological treatments may be suitable for emotional symptoms and sleep disorders. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020209204.
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Affiliation(s)
- Huixuan Ma
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xinliang Lu
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Xiumei Zuo
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Minmin Zhan
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Qi Zou
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Cooperation of Chinese and Western Medicine Institute, Changchun University of Traditional Chinese Medicine, Changchun, China
| | - Shuting Gong
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yufei Chen
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Jihui Lyu
- Beijing Geriatric Hospital, Beijing, China
| | - Longfei Jia
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Cuibai Wei
- Innovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- *Correspondence: Cuibai Wei
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Li Y, Qiao Y, Wang F, Wei C, Wang R, Jin H, Xie B, You J, Jia J, Zhou A. Culture Effects on the Chinese Version Boston Naming Test Performance and the Normative Data in the Native Chinese-Speaking Elders in Mainland China. Front Neurol 2022; 13:866261. [PMID: 35645954 PMCID: PMC9139106 DOI: 10.3389/fneur.2022.866261] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/11/2022] [Indexed: 11/16/2022] Open
Abstract
Background The Chinese version of Boston Naming Test (BNT-C) is administered in China widely. However, the neuropsychological parameter of BNT-C in native Chinese-speaking elders in mainland China has not been explored systematically. The aim of this study was to explore cultural influences on BNT-C performance and establish norms among native Chinese-speaking elders in Beijing. Methods A total of 161 native, Chinese-speaking, cognitively normal elders aged ≥55 years were enrolled from various communities in Beijing. The BNT-C was conducted on all the participants. The internal consistency, participants' familiarity, and naming accuracy were analyzed and compared with data from Chinese areas outside the mainland and from American published previously. The influencing factors and stratified norms for BNT-C were established. Results The BNT-C showed good internal consistency (α = 0.738). Strong correlation between naming accuracy and object familiarity was found (r = 0.962, P < 0.001). Participants' familiarity and correct naming rate for many items were notably different between the Chinese-speaking elders and English-speaking elders in America. The difference in some items' correct naming rate also existed between Beijing, Taiwan, and Hongkong. Higher education was associated with higher scores, whereas age and gender had no effect on BNT-C performance. The recommended norms of total naming scores for elders with education ≤ 9 and >9 years were 16 and 23, respectively. Conclusion The participants' familiarity with BNT items differed between different cultures, which further affected the naming accuracy and total scores. The education stratified norms established here are helpful for the better application of BNT-C in mainland China.
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Wang H, Wang K, Xue Q, Peng M, Yin L, Gu X, Leng H, Lu J, Liu H, Wang D, Xiao J, Sun Z, Li N, Dong K, Zhang Q, Zhan S, Fan C, Min B, Zhou A, Xie Y, Song H, Ye J, Liu A, Gao R, Huang L, Jiao L, Song Y, Dong H, Tian Z, Si T, Zhang X, Li X, Kamiya A, Cosci F, Gao K, Wang Y. Transcranial alternating current stimulation for treating depression: a randomized controlled trial. Brain 2022; 145:83-91. [PMID: 35353887 DOI: 10.1093/brain/awab252] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [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: 02/04/2021] [Revised: 05/08/2021] [Accepted: 06/15/2021] [Indexed: 11/12/2022] Open
Abstract
Treatment of depression with antidepressants is partly effective. Transcranial alternating current stimulation can provide a non-pharmacological alternative for adult patients with major depressive disorder. However, no study has used the stimulation to treat first-episode and drug-naïve patients with major depressive disorder. We used a randomized, double-blind, sham-controlled design to examine the clinical efficacy and safety of the stimulation in treating first-episode drug-naïve patients in a Chinese Han population. From 4 June 2018 to 30 December 2019, 100 patients were recruited and randomly assigned to receive 20 daily 40-min, 77.5 Hz, 15 mA, one forehead and two mastoid sessions of active or sham stimulation (n = 50 for each group) in four consecutive weeks (Week 4), and were followed for additional 4-week efficacy/safety assessment without stimulation (Week 8). The primary outcome was a remission rate defined as the 17-item Hamilton Depression Rating Scale (HDRS-17) score ≤ 7 at Week 8. Secondary analyses were response rates (defined as a reduction of ≥ 50% in the HDRS-17), changes in depressive symptoms and severity from baseline to Week 4 and Week 8, and rates of adverse events. Data were analysed in an intention-to-treat sample. Forty-nine in the active and 46 in the sham completed the study. Twenty-seven of 50 (54%) in the active treatment group and 9 of 50 (18%) in the sham group achieved remission at the end of Week 8. The remission rate was significantly higher in the active group compared to that in the sham group with a risk ratio of 1.78 (95% confidence interval, 1.29, 2.47). Compared with the sham, the active group had a significantly higher remission rate at Week 4, response rates at Weeks 4 and 8, and a larger reduction in depressive symptoms from baseline to Weeks 4 and 8. Adverse events were similar between the groups. In conclusion, the stimulation on the frontal cortex and two mastoids significantly improved symptoms in first-episode drug-naïve patients with major depressive disorder and may be considered as a non-pharmacological intervention for them in an outpatient setting.
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Affiliation(s)
- Hongxing Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China.,Institute of Sleep and Consciousness Disorders, Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
| | - Kun Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China.,Department of Neurology, Beijing Puren Hospital, Beijing 100062, China
| | - Qing Xue
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Mao Peng
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Lu Yin
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Xuecun Gu
- Department of Neurology, Beijing Puren Hospital, Beijing 100062, China
| | - Haixia Leng
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Juan Lu
- Department of Neurology, Beijing Puren Hospital, Beijing 100062, China
| | - Hongzhi Liu
- Department of Neurology, Beijing Puren Hospital, Beijing 100062, China
| | - Di Wang
- Department of Neurology, Beijing Puren Hospital, Beijing 100062, China
| | - Jin Xiao
- Department of Neurology, Beijing Puren Hospital, Beijing 100062, China
| | - Zhichao Sun
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Ning Li
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Kai Dong
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Qian Zhang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Shuqin Zhan
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Chunqiu Fan
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Baoquan Min
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Aihong Zhou
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Yunyan Xie
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Haiqing Song
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Jing Ye
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Aihua Liu
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Ran Gao
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Liyuan Huang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Lidong Jiao
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Yang Song
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Huiqing Dong
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
| | - Zichen Tian
- Department of Biology, Carleton College, Northfield, MN 55057, USA
| | - Tianmei Si
- Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University Sixth Hospital and Peking University Institute of Mental Health, Beijing 100191, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xinmin Li
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Albert T6G 2B7, Canada
| | - Atsushi Kamiya
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD 21287, USA
| | - Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence 50135, Italy
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University, School of Medicine, Cleveland, OH 44106, USA
| | - Yuping Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, China
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Wang F, Zhou A, Wei C, Zuo X, Ma X, Zhao L, Jin H, Li Y, Guo D, Jia J. Good Performance of the Chinese Version of Mini Social Cognition and Emotional Assessment in the Early Diagnosis of Behavioral Variant Frontotemporal Dementia. Front Neurol 2022; 13:827945. [PMID: 35250831 PMCID: PMC8891700 DOI: 10.3389/fneur.2022.827945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 01/27/2022] [Indexed: 11/13/2022] Open
Abstract
Social cognition impairment has been recognized as an early and characteristic change in behavioral variant frontotemporal dementia (bvFTD). The Mini Social Cognition and Emotional Assessment (mini-SEA) is a clinical tool to rapidly evaluate social cognition. In this study, we explored the diagnostic value of social cognition by assessing the Chinese version of the mini-SEA and other standard neuropsychological tests in 22 patients with mild bvFTD, 26 patients with mild Alzheimer's disease (AD), including mild cognitive impairment (MCI) and mild dementia, and 30 control subjects. The discriminatory powers of these tests were evaluated and compared using the receiver operating characteristic curve (ROC). The mini-SEA scores of the bvFTD patients were significantly lower than those of the controls (Z = –6.850, adjusted P < 0.001) and AD patients (Z = –3.737, adjusted P = 0.001). ROC analysis showed that the mini-SEA had a high discriminatory power for differentiating bvFTD from the controls, with an area under the curve (AUC) value of 0.989 (95% CI = 0.905-1.000, P < 0.001). The AUC value of the mini-SEA for differentiating bvFTD from AD was 0.899 (95% CI = 0.777-0.967, P < 0.001), higher than that of the Auditory Verbal Learning Test Delayed Recall (AUC = 0.793), Boston Naming Test (AUC = 0.685) or Frontal Assessment Battery (AUC = 0.691). The Chinese version of mini-SEA is a good clinical tool for the early diagnosis of bvFTD, and has a high sensitivity and specificity to discriminate bvFTD from AD.
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Affiliation(s)
- Fen Wang
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
- *Correspondence: Fen Wang
| | - Aihong Zhou
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Cuibai Wei
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiumei Zuo
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaowei Ma
- Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lina Zhao
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hongmei Jin
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Li
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dongmei Guo
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianping Jia
- Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
- Jianping Jia
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Cao C, Shou J, Sun Z, Zhou A, Lan X, Shang B, Jiang W, Guo L, Zheng S, Bi X. Phenotypical screening on metastatic PRCC-TFE3 fusion translocation renal cell carcinoma organoids reveals potential therapeutic agents. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)01205-2] [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: 11/04/2022]
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Wang Y, Du W, Yang X, Yan J, Sun W, Bai J, Zhou J, Zhou A, Niu J, Li C, Wang J. Diagnosis and differential diagnosis flow diagram of Chinese post-stroke aphasia types and treatment of post-stroke aphasia. Aging Med (Milton) 2021; 4:325-336. [PMID: 34964014 PMCID: PMC8711225 DOI: 10.1002/agm2.12183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/03/2021] [Accepted: 11/04/2021] [Indexed: 11/14/2022] Open
Abstract
This review aimed to explore the concept, etiology, classification, classical cortical mapping, assessment, diagnosis and differential diagnosis, treatment, rehabilitation, mechanism, recovery, prognosis, and influencing factors for Chinese post-stroke aphasia (PSA). The review emphasized the necessity and significance of neuroimaging assessment of brain and blood vessels and neuropsychological assessment in diagnosis and differential diagnosis of Chinese PSA. In addition, it suggested and recommended to use "dichotomies of internal and external, and anterior and posterior" as a starting point, based on the anatomic location of brain and blood vessels and their relationship with language area and language disorder. As a result, the formulated Chinese PSA classification was more suitable to guide the clinical treatment of cerebral stroke. Diagnosis, classification, and differential diagnosis of Chinese PSA types were performed according to the "dichotomy" and "four elements." The formulated "flow diagram" enabled to determine the classification of Chinese PSA types. It was beneficial for patients to establish targeted and individualized rehabilitation training plans. This review introduced the use of memantine, piracetam, donepezil, etc. in PSA treatment, evaluated clinical studies conducted in China and abroad, investigated the mechanism of action related to the use of drugs in PSA treatment, and explored the therapeutic mechanism of rehabilitation training. It suggested the use drugs of memantine, piracetam, donepezil, etc. combine with non-pharmacotherapy and rehabilitation training in clinical studies on PSA treatment and also in practical settings.
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Affiliation(s)
- Yinhua Wang
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Wanliang Du
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xiaona Yang
- Department of Neurology & PsychiatryBeijing Shijitan HospitalCapital Medical UniversityBeijingChina
| | - Jun Yan
- NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)Peking University Sixth HospitalPeking University Institute of Mental HealthBeijingChina
| | - Wei Sun
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Jing Bai
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Jiong Zhou
- Department of NeurologyThe Second Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhouChina
| | - Aihong Zhou
- Department of NeurologyXuanwu HospitalCapital Medical UniversityBeijingChina
| | - Jianping Niu
- Department of NeurologyThe Second Affiliated Hospital of Xiamen Medical CollegeXiamenChina
| | - Chuanling Li
- Department of NeurologyXuzhou Central HospitalXuzhouChina
| | - Jian Wang
- Department of PsychologyGuang’anmen HospitalBeijingChina
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Zhang X, Sun Z, Zhou A, Tao L, Chen Y, Shi X, Yin J, Sun Z, Ding G. Association Between Infections and Risk of Ankylosing Spondylitis: A Systematic Review and Meta-Analysis. Front Immunol 2021; 12:768741. [PMID: 34745144 PMCID: PMC8569302 DOI: 10.3389/fimmu.2021.768741] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/11/2021] [Indexed: 12/17/2022] Open
Abstract
Background Previous literature on the association between infections and the risk of developing ankylosing spondylitis (AS) presented controversial results. This meta-analysis aimed to quantitatively investigate the effect of infections on the risk of AS. Methods We searched the PubMed, Embase, and Web of Science databases until March 26, 2021 for analytical epidemiological studies on the association between infections and the risk of AS. Fixed or random effect models were used to calculate total risk estimates based on study heterogeneity. Subgroup analysis, and sensitivity analysis were also performed. Publication bias was estimated using funnel plots and Begg’s test. Results Six case-control articles (n=1,296,239) and seven cohort articles (n=7,618,524) were incorporated into our meta-analysis. The pooled odds ratio (OR) from these case-control studies showed that infections were associated with an increased risk of AS (OR=1.46, 95% confidence interval [CI], 1.23–1.73), and the pooled relative risk (RR) from the cohort studies showed the same findings (RR=1.35, 95% CI, 1.12–1.63). Subgroup analysis showed that infections in participants with unadjusted comorbidities (OR=1.66, 95% CI, 1.35–2.03), other types of infection (OR=1.40, 95% CI, 1.15–1.70), and infection of the immune system (OR=1.46, 95% CI, 1.42–1.49) were associated with the risk of AS in case-control studies. In cohort studies, infections with adjusted comorbidities (RR=1.39, 95% CI, 1.15–1.68), viral infection (RR=1.43, 95% CI, 1.22–1.66), other types of infection (RR=1.44, 95% CI, 1.12–1.86), and other sites of infection (RR=1.36, 95% CI, 1.11–1.67) were associated with an increased risk of AS. Conclusions The findings of this meta-analysis confirm that infections significantly increase the risks of AS. This is helpful in providing an essential basis for the prevention of AS via the avoidance of infections.
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Affiliation(s)
- Xiao Zhang
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.,School of Clinical Medline, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.,School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Zhe Sun
- The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Aihong Zhou
- The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Lei Tao
- The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Yingxin Chen
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.,School of Clinical Medline, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Xinyu Shi
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.,School of Clinical Medline, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Jia Yin
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Zheng Sun
- School of Clinical Medline, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Guoyong Ding
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.,The Second Affiliated Hospital of Shandong First Medical University, Taian, China
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Wang J, Qiu Z, Li D, Yang X, Ding Y, Gao L, Liu A, Song Y, Li C, Gao R, Wang L, Wu L, Jia L, Guo D, Zhou A, Jia J, Huang L, Qu M, Gao L, Dong H, Hao J, Liu Z. Clinical and Imaging Features of Patients With Encephalitic Symptoms and Myelin Oligodendrocyte Glycoprotein Antibodies. Front Immunol 2021; 12:722404. [PMID: 34691028 PMCID: PMC8529193 DOI: 10.3389/fimmu.2021.722404] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 09/07/2021] [Indexed: 11/13/2022] Open
Abstract
Background Myelin oligodendrocyte glycoprotein-antibody (MOG-ab)-associated disease (MOGAD) has highly heterogenous clinical and imaging presentations, in which encephalitis is an important phenotype. In recent years, some atypical presentations in MOG-ab-associated encephalitis (MOG-E) have been increasingly reported but have not yet been described well. The aim of the study was to describe the clinical and imaging features of patients with MOG-E in our center. Atypical phenotypes would be reported, which is expected to expand the spectrum of MOGAD. Methods We reviewed medical records of 59 patients with MOGAD diagnosed in our center and identified cases who had ever experienced encephalitic symptoms. Three hundred ten patients with autoimmune encephalitis (AE) were also reviewed, and cases with positive MOG-ab were identified. Besides, patients with chronically progressive encephalitis were identified from 13 MOG-E and 310 AE patients. We collected demographic, clinical, laboratory, radiological, and outcome data to explore clinical and imaging characteristics in MOG-E, especially in the atypical phenotype of chronically progressive encephalitis. Results We identified 13 patients (7 males, 6 females) with MOG-E. The median age at onset was 33 years (range 13~62 years). Most (9/13, 69.2%) of patients showed acute or subacute onset of encephalitic symptoms. Brain MRI abnormalities were observed in all patients. The most common lesion locations on MRI were cortical/subcortical (11/13, 84.6%), deep/periventricular white matter (10/13, 76.9%) and corpus callosum (4/13, 30.8%). Brain MRI patterns were categorized into four phenotypes. The most common pattern was cortical encephalitis with leptomeningeal enhancement/brain atrophy (10/13, 76.9%). Eight (8/13, 61.5%) patients had a good response to immunotherapy. Four (4/13, 30.8%) patients with chronically progressive course were identified from MOG-E cohort. They showed leukodystrophy-like pattern, multifocal hazy lesions, or cortical encephalitis on MRI. With immunotherapy, they only showed mild or no improvement. We also identified four (4/310, 1.3%) patients with chronically progressive course from AE cohort. They had better outcomes than counterparts in MOG-E. Conclusions This study demonstrates that encephalitic presentations in MOGAD had complex clinical patterns. Chronically progressive encephalitis may be a new phenotype of MOGAD. We recommend to test MOG-ab in subacute and chronic progressive dementia with leukodystrophy-like MRI lesions.
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Affiliation(s)
- Jingsi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhandong Qiu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dawei Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xixi Yang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Ding
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lehong Gao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Aihua Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yang Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Cunjiang Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ran Gao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lin Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Longfei Jia
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dongmei Guo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Aihong Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianping Jia
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Liyuan Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Miao Qu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li Gao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Huiqing Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Junwei Hao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zheng Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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Xing Y, Yang J, Zhou A, Wang F, Tang Y, Jia J. Altered brain activity mediates the relationship between white matter hyperintensity severity and cognition in older adults. Brain Imaging Behav 2021; 16:899-908. [PMID: 34671890 DOI: 10.1007/s11682-021-00564-y] [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] [Accepted: 09/24/2021] [Indexed: 11/26/2022]
Abstract
White matter hyperintensities (WMHs) on magnetic resonance imaging are commonly found in older adults. The mechanisms underpinning the dose-dependent association between WMH severity and cognition are not well understood. This study aimed to investigate how brain activity changes with WMH severity, and if altered brain activity mediates the relationship between WMH and cognitive function. A total of 35 participants with moderate to severe WMHs (Fazekas grade 2 or 3) and 34 participants with mild WMHs (Fazekas grade 1), who were cognitively normal, were included. Resting-state brain function was analyzed using the amplitude of low-frequency fluctuation (ALFF). A mean fractional anisotropy (FA) value of 20 tract-specific regions of interest was calculated. Mediation analysis was used to assess whether ALFF values mediated the relationship between WMH and cognition. The results showed that compared to those with mild WMHs, participants with confluent WMHs had worse memory and naming ability and also had increased ALFF in the right middle frontal gyrus and decreased ALFF in the left middle occipital gyrus. After controlling for age, gender, education and apolipoprotein E (ApoE) ε4 status, increased ALFF in the right prefrontal cortex was associated with worse immediate recall and recognition, and ALFF values mediated the relationships between both Fazekas scores and FA values and memory. In conclusion, our study suggests that cognitively normal adults with high WMH load exhibit subclinical cognitive dysfunction and altered spontaneous brain activity. The mediating effects of brain activity help to shed light on our understanding of the relationship between WMHs and cognition.
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Affiliation(s)
- Yi Xing
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Jianwei Yang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China.
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China.
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Zhang Y, Yao J, Quan Y, Wang J, Xing Y, Zhou A. [Treatment response to Conbercept of different types of diabetic macular edema classified based on optical coherence tomography]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1501-1508. [PMID: 34755665 DOI: 10.12122/j.issn.1673-4254.2021.10.08] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To compare different types of diabetic macular edema (DME) classified based on optical coherence tomography (OCT) for their responses to Conbercept injection and analyze the factors that affect the treatment responses. METHODS We retrospectively analyzed the clinical data of 65 patients (76 eyes) with DME diagnosed and treated with intravitreal injection of Conbercept (1+PRN) in our hospital from February, 2019 to February, 2021. According to OCT findings, DME in these patients was classified into cystic macular edema (CME; 28 eyes), serous retinal detachment (SRD; 33 eyes), and diffuse retinal thickening (DRT; 15 eyes). The best corrected visual acuity (BCVA) and central retinal thickness (CRT) were measured before and at 3 months after the first treatment. The baseline OCT characteristics of different types of DME were compared, and the correlation of these OCT characteristics with the treatment response to Conbercept was analyzed. RESULTS All the patients showed significant improvement of the BCVA 3 months after the treatment (P < 0.05). For all the 3 types of DME, the CRT at 3 months after the first treatment was significantly reduced as compared to the baseline (P < 0.05). The number of hyperreflective foci (HF) in the outer retina and the proportion of ellipsoid zone (EZ) interruption were the greatest in SRD group (P < 0.05). The baseline outer retinal HF was significantly correlated with the baseline CRT, CRT changes and CRT after treatment (all P < 0.05). The patients with baseline outer limiting membrane (ELM)/ EZ disruption had poorer baseline BCVA, greater baseline CRT, greater variation of CRT and poorer BCVA at 3 months after treatment (all P < 0.05). CONCLUSION For all the 3 types of DME, treatment with intravitreal injection of Conbercept can significantly improve the BCVA and CRT of the patients. DME of the SRD type has the best morphological response to Conbercept, while the DRT type has a relatively poor response. A greater number of HF at baseline may indicate a better morphological response to Conbercept treatment, and baseline ELM/EZ disruption may suggest a poor visual prognosis at 3 months after treatment.
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Affiliation(s)
- Y Zhang
- Department of Ophthalmology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - J Yao
- Department of Ophthalmology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Y Quan
- Department of Ophthalmology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - J Wang
- Department of Ophthalmology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Y Xing
- Department of Ophthalmology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - A Zhou
- Department of Ophthalmology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
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36
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Zhou A, Girish M, Lim JA, Thahir A, Krkovic M. 33 Impact of Disruption of Tibio-Fibular Joints During Distraction Osteogenesis on Knee and Ankle Joint Function. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Aim
The aim of this study is to investigate whether a disruption of proximal and/or distal tibio-fibular joint correlates to patient’s function and osteoarthritis.
Method
Retrospective analysis of 44 patients with lower limb bone defects treated by tibial corticotomy and distraction osteogenesis was conducted. Analysis of lower limb x-rays before surgery, immediately post-surgery and after frame removal permitted calculations of changes in tibial length and changes in fibula position relative to the tibia at the proximal and distal tibio-fibular joints. X-rays before and after treatment were also graded for osteoarthritis severity using Alhbäck's classification. Functional ability was scored using the American Orthopaedic Foot & Ankle Society (AOFAS) score and the Knee society score (KSS).
Results
15 patients showed a decrease in the distance between fibular tip and distal tibia, 5 showed no change and 12 showed an increase at the end of the treatment. No statistical significant association was noted with KSS or AOFAS score (p > 0.05), however one patient with a large distance increase exhibited severe radiological exacerbation of knee osteoarthritis. The distal corticotomy group achieved significantly higher length of new bone (p < 0.001) and were more likely to have exacerbation of knee osteoarthritis (p < 0.05). Conversely, proximal corticotomy group were significantly more likely to show an exacerbation of ankle osteoarthritis (p < 0.05).
Conclusions
Attempts should be made not to disrupt the tibio-fibular joints during bone transport, but disruption does not necessarily correlate to poorer outcomes. Our results show that lengthening index reduces with larger bone defects, suggesting that radical debridement/resection may not negatively affect the healing index.
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Affiliation(s)
- A Zhou
- University of Cambridge, Cambridge, United Kingdom
| | - M Girish
- University of Cambridge, Cambridge, United Kingdom
| | - J A Lim
- University of Cambridge, Cambridge, United Kingdom
| | - A Thahir
- Cambridge University Hospitals, Cambridge, United Kingdom
| | - M Krkovic
- Cambridge University Hospitals, Cambridge, United Kingdom
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Qin Q, Fu L, Wang R, Lyu J, Ma H, Zhan M, Zhou A, Wang F, Zuo X, Wei C. Prominent Striatum Amyloid Retention in Early-Onset Familial Alzheimer's Disease With PSEN1 Mutations: A Pilot PET/MR Study. Front Aging Neurosci 2021; 13:732159. [PMID: 34603009 PMCID: PMC8480470 DOI: 10.3389/fnagi.2021.732159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/13/2021] [Indexed: 11/17/2022] Open
Abstract
Background: With the advancements of amyloid imaging in recent years, this new imaging diagnostic method has aroused great interest from researchers. Till now, little is known regarding amyloid deposition specialty in patients with early-onset familial Alzheimer's disease (EOFAD), and even less is known about its role in cognitive impairments. Objectives: Our study aimed to evaluate the amyloid deposition in five patients with EOFAD, 15 patients with late-onset sporadic AD, and 12 healthy subjects utilizing 11C-labeled Pittsburgh compound-B (11C-PiB) amyloid PET imaging. Moreover, we figured out the correlation between striatal and cortical standardized uptake value ratios (SUVRs). We also investigated the correlation between 11C-PiB retention and cognitive presentation. Results: All patients with EOFAD showed high amyloid deposition in the striatum, a pattern that is not usually seen in patients with late-onset sporadic AD. The SUVR in the striatum, especially in the amygdala, showed significant correlations with cortex SUVR in EOFAD. However, neither striatal nor cortical 11C-PiB retention was related to cognitive decline. Conclusions: The amyloid distribution in patients with EOFAD differs from late-onset sporadic AD, with higher amyloid deposits in the striatum. Our study also demonstrated positive correlations in 11C-PiB retention between the striatum and other cortical areas. We revealed that the distribution of amyloid in the brain is not random but diffuses following the functional and anatomical connections. However, the degree and pattern of amyloid deposition were not correlated with cognitive deficits.
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Affiliation(s)
- Qi Qin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Liping Fu
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China.,Department of Nuclear Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Ruimin Wang
- Department of Nuclear Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jihui Lyu
- Center for Cognitive Disorders, Beijing Geriatric Hospital, Beijing, China
| | - Huixuan Ma
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Minmin Zhan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Xiumei Zuo
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Cuibai Wei
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
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38
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Chen CD, Joseph-Mathurin N, Sinha N, Zhou A, Li Y, Friedrichsen K, McCullough A, Franklin EE, Hornbeck R, Gordon B, Sharma V, Cruchaga C, Goate A, Karch C, McDade E, Xiong C, Bateman RJ, Ghetti B, Ringman JM, Chhatwal J, Masters CL, McLean C, Lashley T, Su Y, Koeppe R, Jack C, Klunk WE, Morris JC, Perrin RJ, Cairns NJ, Benzinger TLS. Comparing amyloid-β plaque burden with antemortem PiB PET in autosomal dominant and late-onset Alzheimer disease. Acta Neuropathol 2021; 142:689-706. [PMID: 34319442 PMCID: PMC8815340 DOI: 10.1007/s00401-021-02342-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 06/29/2021] [Accepted: 07/01/2021] [Indexed: 12/31/2022]
Abstract
Pittsburgh compound B (PiB) radiotracer for positron emission tomography (PET) imaging can bind to different types of amyloid-β plaques and blood vessels (cerebral amyloid angiopathy). However, the relative contributions of different plaque subtypes (diffuse versus cored/compact) to in vivo PiB PET signal on a region-by-region basis are incompletely understood. Of particular interest is whether the same staging schemes for summarizing amyloid-β burden are appropriate for both late-onset and autosomal dominant forms of Alzheimer disease (LOAD and ADAD). Here, we compared antemortem PiB PET with follow-up postmortem estimation of amyloid-β burden using stereologic methods to estimate the relative area fraction of diffuse and cored/compact amyloid-β plaques across 16 brain regions in 15 individuals with ADAD and 14 individuals with LOAD. In ADAD, we found that PiB PET correlated with diffuse plaques in the frontal, parietal, temporal, and striatal regions commonly used to summarize amyloid-β burden in PiB PET, and correlated with both diffuse and cored/compact plaques in the occipital lobe and parahippocampal gyrus. In LOAD, we found that PiB PET correlated with both diffuse and cored/compact plaques in the anterior cingulate, frontal lobe (middle frontal gyrus), and parietal lobe, and showed additional correlations with diffuse plaque in the amygdala and occipital lobe, and with cored/compact plaque in the temporal lobe. Thus, commonly used PiB PET summary regions predominantly reflect diffuse plaque burden in ADAD and a mixture of diffuse and cored/compact plaque burden in LOAD. In direct comparisons of ADAD and LOAD, postmortem stereology identified much greater mean amyloid-β plaque burdens in ADAD versus LOAD across almost all brain regions studied. However, standard PiB PET did not recapitulate these stereologic findings, likely due to non-trivial amyloid-β plaque burdens in ADAD within the cerebellum and brainstem-commonly used reference regions in PiB PET. Our findings suggest that PiB PET summary regions correlate with amyloid-β plaque burden in both ADAD and LOAD; however, they might not be reliable in direct comparisons of regional amyloid-β plaque burden between the two forms of AD.
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Affiliation(s)
- Charles D Chen
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nelly Joseph-Mathurin
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Namita Sinha
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Pathology, University of Manitoba, Shared Health, Winnipeg, MB, Canada
| | - Aihong Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Li
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Karl Friedrichsen
- Department of Ophthalmology and Visual Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Austin McCullough
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Erin E Franklin
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
| | - Russ Hornbeck
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Brian Gordon
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Vijay Sharma
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Alison Goate
- Department of Genetics and Genomic Sciences, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Celeste Karch
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Eric McDade
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Chengjie Xiong
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John M Ringman
- Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Jasmeer Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Catriona McLean
- Department of Anatomic Pathology, Alfred Hospital, Melbourne, VIC, Australia
| | - Tammaryn Lashley
- UCL Queen Square Institute of Neurology, University College London, London, UK
- Queen Square Brain Bank for Neurological Disorders, University College London, London, UK
| | - Yi Su
- Banner Alzheimer's Institute, Banner Health, Phoenix, AZ, USA
- Arizona Alzheimer's Consortium, Banner Health, Phoenix, AZ, USA
| | - Robert Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Clifford Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - William E Klunk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - John C Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Richard J Perrin
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nigel J Cairns
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
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Qin Q, Wei C, Piao Y, Lian F, Wu H, Zhou A, Wang F, Zuo X, Han Y, Lyu J, Guo D, Jia J. Current Review of Leptomeningeal Amyloidosis Associated With Transthyretin Mutations. Neurologist 2021; 26:189-195. [PMID: 34491937 PMCID: PMC8423141 DOI: 10.1097/nrl.0000000000000337] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Leptomeningeal amyloidosis (LA) represents a rare subtype of familial transthyretin (TTR) amyloidosis, characterized by deposition of amyloid in cranial and spinal leptomeninges. Of >120 TTR mutations identified, few have been associated with LA. CASE REPORT A 27-year-old male presented with a 2-year history of progressive symptoms including cognitive decline and right-sided weakness and numbness. Cerebrospinal fluid (CSF) analyses demonstrated high protein level. Gadolinium-enhanced magnetic resonance imaging (MRI) revealed extensive leptomeningeal enhancement over the surface of the brain and spinal cord. Pathologic analyses revealed a TTR mutation c.113A>G (p.D38G). REVIEW SUMMARY Fifteen mutations and genotype-phenotype correlation of 72 LA patients have been summarized to provide an overview of LA associated with transthyretin mutations. The mean age of clinical onset was 44.9 years and the neurological symptoms primarily included cognitive impairment, headache, ataxia seizures and hearing, visual loss. CSF analysis showed elevated high CSF protein level and MRI revealed extensive leptomeningeal enhancement. CONCLUSION Clinicians should be aware of this rare form of familial transthyretin amyloidosis as well as its typical MRI enhancement and high CSF protein. The important role of biopsy, genetic testing and the potential early diagnosis value of contrast MRI were suggested. Early recognition of these characteristics is important to provide misdiagnosis and shorten the time before correct diagnosis. These findings expand the phenotypic spectrum of TTR gene and have implications for the diagnosis, treatment, and systematic study of LA.
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Affiliation(s)
- Qi Qin
- Department of Neurology, Innovation Center for Neurological Disorders
- Center for Cognitive Disorders, Beijing Geriatric Hospital
| | - Cuibai Wei
- Department of Neurology, Innovation Center for Neurological Disorders
| | | | | | - Hao Wu
- Department of Neurosurgery, Xuanwu Hospital of Capital Medical University
| | - Aihong Zhou
- Department of Neurology, Innovation Center for Neurological Disorders
| | - Fen Wang
- Department of Neurology, Innovation Center for Neurological Disorders
| | - Xiumei Zuo
- Department of Neurology, Innovation Center for Neurological Disorders
| | - Yue Han
- Department of Neurology, Innovation Center for Neurological Disorders
| | - Jihui Lyu
- Department of Neurosurgery, Xuanwu Hospital of Capital Medical University
| | - Dongmei Guo
- Department of Neurology, Innovation Center for Neurological Disorders
| | - Jianping Jia
- Department of Neurology, Innovation Center for Neurological Disorders
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders
- Beijing Key Laboratory of Geriatric Cognitive Disorders
- Neurodegenerative Laboratory of Ministry of Education of the People’s Republic of China, Beijing, China
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40
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Ma J, Zhou A, Ge Z. Topic: AS01-Diagnosis/AS01a-Cytomorphology. Leuk Res 2021. [DOI: 10.1016/j.leukres.2021.106681.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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41
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Jia L, Li F, Wei C, Zhu M, Qu Q, Qin W, Tang Y, Shen L, Wang Y, Shen L, Li H, Peng D, Tan L, Luo B, Guo Q, Tang M, Du Y, Zhang J, Zhang J, Lyu J, Li Y, Zhou A, Wang F, Chu C, Song H, Wu L, Zuo X, Han Y, Liang J, Wang Q, Jin H, Wang W, Lü Y, Li F, Zhou Y, Zhang W, Liao Z, Qiu Q, Li Y, Kong C, Li Y, Jiao H, Lu J, Jia J. Prediction of Alzheimer's disease using multi-variants from a Chinese genome-wide association study. Brain 2021; 144:924-937. [PMID: 33188687 PMCID: PMC8041344 DOI: 10.1093/brain/awaa364] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 07/30/2020] [Accepted: 08/14/2020] [Indexed: 12/28/2022] Open
Abstract
Previous genome-wide association studies have identified dozens of susceptibility loci for sporadic Alzheimer’s disease, but few of these loci have been validated in longitudinal cohorts. Establishing predictive models of Alzheimer’s disease based on these novel variants is clinically important for verifying whether they have pathological functions and provide a useful tool for screening of disease risk. In the current study, we performed a two-stage genome-wide association study of 3913 patients with Alzheimer’s disease and 7593 controls and identified four novel variants (rs3777215, rs6859823, rs234434, and rs2255835; Pcombined = 3.07 × 10−19, 2.49 × 10−23, 1.35 × 10−67, and 4.81 × 10−9, respectively) as well as nine variants in the apolipoprotein E region with genome-wide significance (P < 5.0 × 10−8). Literature mining suggested that these novel single nucleotide polymorphisms are related to amyloid precursor protein transport and metabolism, antioxidation, and neurogenesis. Based on their possible roles in the development of Alzheimer’s disease, we used different combinations of these variants and the apolipoprotein E status and successively built 11 predictive models. The predictive models include relatively few single nucleotide polymorphisms useful for clinical practice, in which the maximum number was 13 and the minimum was only four. These predictive models were all significant and their peak of area under the curve reached 0.73 both in the first and second stages. Finally, these models were validated using a separate longitudinal cohort of 5474 individuals. The results showed that individuals carrying risk variants included in the models had a shorter latency and higher incidence of Alzheimer’s disease, suggesting that our models can predict Alzheimer’s disease onset in a population with genetic susceptibility. The effectiveness of the models for predicting Alzheimer’s disease onset confirmed the contributions of these identified variants to disease pathogenesis. In conclusion, this is the first study to validate genome-wide association study-based predictive models for evaluating the risk of Alzheimer’s disease onset in a large Chinese population. The clinical application of these models will be beneficial for individuals harbouring these risk variants, and particularly for young individuals seeking genetic consultation.
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Affiliation(s)
- Longfei Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Fangyu Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Cuibai Wei
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Min Zhu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Qiumin Qu
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Wei Qin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Luxi Shen
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yanjiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Honglei Li
- Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Dantao Peng
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Shandong, China
| | - Benyan Luo
- Department of Neurology, The First Affiliated Hospital, Zhejiang University, Zhejiang, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Muni Tang
- Department of Geriatrics, Guangzhou Huiai Hospital, Affiliated Hospital of Guangzhou Medical College, Guangzhou, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China
| | - Jiewen Zhang
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan, China
| | - Junjian Zhang
- Department of Neurology, Zhongnan Hospital, Wuhan University, Hubei, China
| | - Jihui Lyu
- Center for Cognitive Disorders, Beijing Geriatric Hospital, Beijing, China
| | - Ying Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Changbiao Chu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Haiqing Song
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Liyong Wu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Xiumei Zuo
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yue Han
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Junhua Liang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Hongmei Jin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Wei Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yang Lü
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Fang Li
- Department of Geriatric, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Wei Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Center for Cognitive Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhengluan Liao
- Department of Psychiatry, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Qiongqiong Qiu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Chaojun Kong
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Haishan Jiao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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Zhou A, Mao K, Liu G, Li J, Lin X. lncRNA MALAT-1 Predicts Prognosis of Patients with Systemic Lupus Erythematosus. AKTUEL RHEUMATOL 2021. [DOI: 10.1055/a-1527-1197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Abstract
Objective To evaluate the association of MALAT-1 and the prognosis of patients with systemic lupus erythematosus (SLE).
Materials and Methods A total of 87 SLE patients and 50 healthy controls were recruited. The expression levels of MALAT-1 were measured by quantitative PCR at baseline. Multivariate Cox regression analysis was performed to assess the association of MALAT-1 levels with survival after adjusting for potential confounding factors.
Results The MALAT-1 levels in patients with SLE were significantly higher compared with healthy controls (p<0.01). The 10-year survival of patients with a higher MALAT-1 level was significantly lower than that of patients with a lower MALAT-1 level (HR=5.54; 95% CI: 1.49–20.55; p=0.01). Multivariate Cox regression indicated that the MALAT-1 level was significantly associated with a risk of mortality (HR=10.02, 95% CI: 1.14–88.14, p=0.04).
Conclusion The expression levels of MALAT-1 may be a promising biomarker for evaluating the prognosis of SLE patients.
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Affiliation(s)
- Aihong Zhou
- Department of Rheumatology immunology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Kunyun Mao
- Department of Nephrology and Rheumatology, Dongping County People Hospital of Tai’an, Dongping, China
| | - Guoqiang Liu
- Department of Emergency, The Central Hospital of Tai’an, Tai’an, China
| | - Jun Li
- Department of Emergency, Coal Taishan sanatorium of Shandong Province (Shandong Tai’an Coal Mine Hospital), Dongping, China
| | - Xia Lin
- Department of Nephrology and Rheumatology, Dongping County People Hospital of Tai’an, Dongping, China
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Zhou Y, Du X, Xiao J, Cao Y, Guo Q, Zhou A, Zhou J, Li N, Wang Y, Jiao L. A physician survey of poststroke aphasia diagnosis and treatment in China: SPEECH study. Medicine (Baltimore) 2021; 100:e25833. [PMID: 34087826 PMCID: PMC8183701 DOI: 10.1097/md.0000000000025833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 04/16/2021] [Indexed: 01/04/2023] Open
Abstract
The current status of the diagnosis and management of poststroke aphasia (PSA) in China is unknown.To analyze the physicians' strategy and knowledge about the management of PSA in clinical practice and the needs for standardization of diagnosis and treatment.This survey was conducted in March-August 2019 at 32 tertiary hospitals in 16 provinces/municipalities in China. The attending physicians from the Neurology and Neuro-rehabilitation/Rehabilitation Departments were included. The online questionnaire inquired about patient information, physicians' diagnosis and treatment behavior for PSA, and physicians' understanding of PSA.A total of 236 physicians completed the survey. Regarding PSA assessment, 99.2% of the physicians reported using medical history and physical examination, 93.2% reported using neuroimaging, and 76.3% reported using dedicated scales. Most physicians used a combination of drug and non-drug treatment. Neuro-regenerators/cerebral activators and anti-dementia drugs were the most common pharmacotherapies; butylphthalide, edaravone, and memantine were most frequently prescribed. Six months poststroke was rendered as a spontaneous language recovery period, and a ≥6-month treatment for PSA was suggested by many physicians. The lack of standardized treatment regimen/clinical guidelines and the limited number of approved drugs for PSA were the primary challenges encountered by physicians during practice. The majority of the physicians agreed with the necessity of guidelines or consensus for the diagnosis and treatment of PSA.The knowledge gaps exist among physicians in China regarding the assessment and management of PSA. The improved awareness of the available guidelines/consensus could improve the performance of the physicians.
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Affiliation(s)
- Yuying Zhou
- Department of Neurology, Huanhu Hospital, Tianjin
| | - Xiaoxia Du
- Department of Neurorehabilitation, School of Rehabilitation Medicine, Capital Medical University, Beijing Bo’Ai Hospital, China Rehabilitation Research Center, Beijing
| | - Jun Xiao
- Department of Neurology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan Province, PR
| | - Yunpeng Cao
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - Aihong Zhou
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing
| | - Jiong Zhou
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou
| | - Nan Li
- Research Center of Clinical Epidemiology, Peking University Third Hospital
| | - Yinhua Wang
- Department of Neurology, the First Hospital of Peking University
| | - Lifei Jiao
- Drug Development Organization, Lundbeck China, Beijing, China
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Qin W, Zhou A, Zuo X, Jia L, Li F, Wang Q, Li Y, Wei Y, Jin H, Cruchaga C, Benitez BA, Jia J. Exome sequencing revealed PDE11A as a novel candidate gene for early-onset Alzheimer's disease. Hum Mol Genet 2021; 30:811-822. [PMID: 33835157 PMCID: PMC8161517 DOI: 10.1093/hmg/ddab090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 11/14/2022] Open
Abstract
To identify novel risk genes and better understand the molecular pathway underlying Alzheimer's disease (AD), whole-exome sequencing was performed in 215 early-onset AD (EOAD) patients and 255 unrelated healthy controls of Han Chinese ethnicity. Subsequent validation, computational annotation and in vitro functional studies were performed to evaluate the role of candidate variants in EOAD. We identified two rare missense variants in the phosphodiesterase 11A (PDE11A) gene in individuals with EOAD. Both variants are located in evolutionarily highly conserved amino acids, are predicted to alter the protein conformation and are classified as pathogenic. Furthermore, we found significantly decreased protein levels of PDE11A in brain samples of AD patients. Expression of PDE11A variants and knockdown experiments with specific short hairpin RNA (shRNA) for PDE11A both resulted in an increase of AD-associated Tau hyperphosphorylation at multiple epitopes in vitro. PDE11A variants or PDE11A shRNA also caused increased cyclic adenosine monophosphate (cAMP) levels, protein kinase A (PKA) activation and cAMP response element-binding protein phosphorylation. In addition, pretreatment with a PKA inhibitor (H89) suppressed PDE11A variant-induced Tau phosphorylation formation. This study offers insight into the involvement of Tau phosphorylation via the cAMP/PKA pathway in EOAD pathogenesis and provides a potential new target for intervention.
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Affiliation(s)
- Wei Qin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Xiumei Zuo
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Longfei Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Fangyu Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Ying Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Yiping Wei
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Hongmei Jin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University, St. Louis, MO 63110, USA
- NeuroGenomics and Informatics Center, Washington University, St. Louis, MO 63110, USA
- Department of Genetics, Washington University, St. Louis, MO 63110, USA
| | - Bruno A Benitez
- Department of Psychiatry, Washington University, St. Louis, MO 63110, USA
- NeuroGenomics and Informatics Center, Washington University, St. Louis, MO 63110, USA
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Capital Medical University, Beijing 10053, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing 10053, China
- Center of Alzheimer’s Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 10053, China
- To whom correspondence should be addressed at: Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing 100053, P.R. China. Tel: 0086 10 83199449; Fax: 0086 10 83128678; ,
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Xing Y, Yang J, Zhou A, Wang F, Wei C, Tang Y, Jia J. White Matter Fractional Anisotropy Is a Superior Predictor for Cognitive Impairment Than Brain Volumes in Older Adults With Confluent White Matter Hyperintensities. Front Psychiatry 2021; 12:633811. [PMID: 34025467 PMCID: PMC8131652 DOI: 10.3389/fpsyt.2021.633811] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 04/08/2021] [Indexed: 11/13/2022] Open
Abstract
Older patients with confluent white matter hyperintensities (WMHs) on magnetic resonance imaging have an increased risk for the onset of vascular cognitive impairment (VCI). This study investigates the predictive effects of the white matter (WM) fractional anisotropy (FA) and brain volumes on cognitive impairment for those with confluent WMHs. This study enrolled 77 participants with confluent WMHs (Fazekas grade 2 or 3), including 44 with VCI-no dementia (VCIND) and 33 with normal cognition (NC). The mean FA of 20 WM tracts was calculated to evaluate the global WM microstructural integrity, and major WM tracts were reconstructed using probabilistic tractography. Voxel-based morphometry was used to calculate brain volumes for the total gray matter (GM), the hippocampus, and the nucleus basalis of Meynert (NbM). All volumetric assays were corrected for total intracranial volume. All regression analyses were adjusted for age, gender, education, and apolipoprotein E (ApoE) gene ε4 status. Logistic regression analysis revealed that the mean FA value for global WM was the only independent risk factor for VCI (z score of FA: OR = 4.649, 95%CI 1.576-13.712, p = 0.005). The tract-specific FAs were not associated with the risk of cognitive impairment after controlling the mean FA for global WM. The mean FA value was significantly associated with scores of Mini-Mental State Examination (MMSE) and Auditory Verbal Learning Test. A lower FA was also associated with smaller volumes of total GM, hippocampus, and NbM. However, brain volumes were not found to be directly related to cognitive performances, except for an association between the hippocampal volume and MMSE. In conclusion, the mean FA for global WM microstructural integrity is a superior predictor for cognitive impairment than tract-specific FA and brain volumes in people with confluent WMHs.
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Affiliation(s)
- Yi Xing
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Jianwei Yang
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Aihong Zhou
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Fen Wang
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Cuibai Wei
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Yi Tang
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Jianping Jia
- Department of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
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Huang Y, Luo S, Zhao P, Tan L, Fu G, Zhou A, He X. A novel STS mutation and an Xp22.31 microdeletion in a Chinese family with X-linked ichthyosis. Clin Exp Dermatol 2020; 46:614-617. [PMID: 33336383 DOI: 10.1111/ced.14525] [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: 07/29/2020] [Revised: 10/22/2020] [Accepted: 11/02/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Y Huang
- Precision Medical Center, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - S Luo
- Precision Medical Center, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Zhao
- Precision Medical Center, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Tan
- Precision Medical Center, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - G Fu
- Dermatology Department, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - A Zhou
- Prenatal Diagnosis Center, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X He
- Precision Medical Center, Wuhan Children's Hospital, Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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47
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Jia L, Fu Y, Shen L, Zhang H, Zhu M, Qiu Q, Wang Q, Yan X, Kong C, Hao J, Wei C, Tang Y, Qin W, Li Y, Wang F, Guo D, Zhou A, Zuo X, Yu Y, Li D, Zhao L, Jin H, Jia J. PSEN1, PSEN2, and APP mutations in 404 Chinese pedigrees with familial Alzheimer's disease. Alzheimers Dement 2020; 16:178-191. [PMID: 31914229 DOI: 10.1002/alz.12005] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
INTRODUCTION The PSENs/APP mutation distribution in Chinese patients with familial Alzheimer's disease (FAD) remains unclear. We aimed to analyze the genetic features of Chinese FAD pedigrees with and without PSENs/APP mutations. METHODS In total, 1330 patients with Alzheimer's disease (AD) or mild cognitive impairment in 404 pedigrees were enrolled from the Chinese Familial Alzheimer's Disease Network. PSENs/APP mutations and APOE frequencies were determined. RESULTS In total, 13.12% of pedigrees carried PSENs/APP missense mutations, 3.71% carried PSENs/APP synonymous/untranslated region variants, and 83.17% did not carry PSENs/APP mutations. Eleven missense mutations were first identified. In patients without PSENs/APP mutations, 44.31% carried one APOEε4 allele, and 14.85% two APOEε4 alleles. DISCUSSION The new PSENs/APP mutations indicate heterogeneity in AD pathogenesis between Chinese and other ethnic groups. The low mutation rate suggests the involvement of other genes/factors in Chinese FAD. APOEε4 might be a major gene for some FAD without PSENs/APP mutations.
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Affiliation(s)
- Longfei Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yue Fu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Luxi Shen
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Heng Zhang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Zhu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qiongqiong Qiu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qi Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xin Yan
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chaojun Kong
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jing Hao
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Cuibai Wei
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wei Qin
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ying Li
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dongmei Guo
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiumei Zuo
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yueyi Yu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dan Li
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lina Zhao
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hongmei Jin
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
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48
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Jia L, Xu H, Chen S, Wang X, Yang J, Gong M, Wei C, Tang Y, Qu Q, Chu L, Shen L, Zhou C, Wang Q, Zhao T, Zhou A, Li Y, Li F, Li Y, Jin H, Qin Q, Jiao H, Li Y, Zhang H, Lyu D, Shi Y, Song Y, Jia J. The APOE ε4 exerts differential effects on familial and other subtypes of Alzheimer's disease. Alzheimers Dement 2020; 16:1613-1623. [PMID: 32881347 PMCID: PMC7984370 DOI: 10.1002/alz.12153] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [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: 02/09/2020] [Revised: 05/24/2020] [Accepted: 06/28/2020] [Indexed: 12/28/2022]
Abstract
INTRODUCTION The genetic risk effects of apolipoprotein E (APOE) on familial Alzheimer's disease (FAD) with or without gene mutations, sporadic AD (SAD), and normal controls (NC) remain unclear in the Chinese population. METHODS In total, 15 119 subjects, including 311 FAD patients without PSEN1, PSEN2, APP, TREM2, and SORL1 pathogenic mutations (FAD [unknown]); 126 FAD patients with PSENs/APP mutations (FAD [PSENs/APP]); 7234 SAD patients; and 7448 NC were enrolled. The risk effects of APOE ε4 were analyzed across groups. RESULTS The prevalence of the APOE ε4 genotype in FAD (unknown), FAD (PSENs/APP), SAD, and NC groups was 56.27%, 26.19%, 36.23%, and 19.54%, respectively. Further, the APOE ε4 positive genotype had predictive power for FAD (unknown) risk (odds ratio: 4.51, 95% confidence interval: 3.57-5.45, P < .001). DISCUSSION APOE ε4 positive genotype may cause familial aggregation, and the investigation of multiple interventions targeting APOE pathological function to reduce the risk for this disease warrants attention.
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Affiliation(s)
- Longfei Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Hui Xu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Shuoqi Chen
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Xiu Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Jianwei Yang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Min Gong
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Cuibai Wei
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Qiumin Qu
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xian, China
| | - Lan Chu
- Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital Central South University, Changsha, China
| | - Chunkui Zhou
- Department of Neurology, The First Teaching Hospital of Jilin University, Changchun, China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Tan Zhao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Ying Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Fangyu Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Hongmei Jin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Qi Qin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Haishan Jiao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Heng Zhang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Diyang Lyu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yuqing Shi
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yang Song
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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49
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Tan J, Shen S, Zhou A, Wang Z, Lyu H. Laboratory data on long-term sealing behaviors of two water-swelling materials for shield tunnel gasket. Data Brief 2020; 30:105609. [PMID: 32395581 PMCID: PMC7210418 DOI: 10.1016/j.dib.2020.105609] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 11/25/2022] Open
Abstract
This article provides comprehensive experimental data of two water-swelling materials, water swelling rubber (WSR) and water-swelling polyurethane (WSP). Swelling tests, Dynamic Mechanical Analyzer (DMA) and Scanning Electron Microscope (SEM) were performed. Sealing properties of WSR and WSP were characterized by the data of swelling ratios (Sw and Sa), storage moduli (E') and images of micro-damage morphologies. These data can be useful for the prediction of the long-term waterproof performance of water-swelling materials and provide reference for material selection. The data presented herein was used for the article, titled "Laboratory evaluation of long-term sealing behaviors of two water-swelling materials for shield tunnel gasket" [1].
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Affiliation(s)
- J.S. Tan
- Department of Civil Engineering, School of Naval Architecture, Ocean, and Civil Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Minhang District, Shanghai 200240, China
| | - S.L. Shen
- Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education, and Department of Civil and Environmental Engineering, College of Engineering, Shantou University, Shantou, Guangdong 515063, China
- Discipline of Civil and Infrastructure, School of Engineering, Royal Melbourne Institute of Technology (RMIT), Victoria 3001, Australia
| | - A. Zhou
- Discipline of Civil and Infrastructure, School of Engineering, Royal Melbourne Institute of Technology (RMIT), Victoria 3001, Australia
| | - Z.N. Wang
- Department of Civil Engineering, School of Naval Architecture, Ocean, and Civil Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Minhang District, Shanghai 200240, China
| | - H.M. Lyu
- State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau S.A.R., China
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50
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Wang H, Zhang W, Zhao W, Wang K, Wang Z, Wang L, Peng M, Xue Q, Leng H, Ding W, Liu Y, Li N, Dong K, Zhang Q, Huang X, Xie Y, Chu C, Xue S, Huang L, Yao H, Ding J, Zhan S, Min B, Fan C, Zhou A, Sun Z, Yin L, Ma Q, Baskys A, Jorge RE, Song H. The efficacy of transcranial alternating current stimulation for treating post-stroke depression: Study Protocol Clinical Trial (SPIRIT Compliant). Medicine (Baltimore) 2020; 99:e19671. [PMID: 32311940 PMCID: PMC7220515 DOI: 10.1097/md.0000000000019671] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The treatment of post-stroke depression (PSD) with anti-depressant drugs is partly practical. Transcranial alternating current stimulation (tACS) offers the potential for a novel treatment modality for adult patients with PSD. In this study, we will assess the efficacy and safety of tACS for treating PSD and explore its effect on gamma and beta-oscillations involving in emotional regulation. METHODS The prospective study is an 8-week, double-blind, randomized, placebo-controlled trial. Seventy eligible participants with mild to moderate PSD aged between 18 years and 70 years will be recruited and randomly assigned to either active tACS intervention group or sham group. Daily 40-minute, 77.5-Hz, 15-mA sessions of active or sham tACS targeting the forehead and both mastoid areas on weekdays for 4 consecutive weeks (week 4), and an additional 4-week observational period (week 8) will be followed up. The primary outcome is the proportion of participants having an improvement at week 8 according to the Hamilton Depression Rating Scale 17-Item (HAMD-17) score, including the proportion of participants having a decrease of ≥ 50% in HAMD-17 score or clinical recovery (HAMD-17 score ≤ 7). Secondary outcomes include neurological function, independence level, activities of daily living, disease severity, anxiety, and cognitive function. The exploratory outcomes are gamma and beta-oscillations assessed at baseline, week 4, and week 8. Data will be analyzed by logistical regression analyses and mixed-effects models. DISCUSSION The study will be the first randomized controlled trial to evaluate the efficacy and safety of tACS at a 77.5-Hz frequency and 15-mA current in reducing depressive severity in patients with PSD. The results of the study will present a base for future studies on the tACS in PSD and its possible mechanism. TRIAL REGISTRATION NUMBER NCT03903068, pre-results.
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Affiliation(s)
- Hongxing Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
- Beijing Key Laboratory of Neuromodulation
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University
| | - Wenrui Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Wenfeng Zhao
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Kun Wang
- Department of Neurology, Beijing Puren Hospital
| | - Zu Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Li Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Mao Peng
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Qing Xue
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Haixia Leng
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Weijun Ding
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Yuan Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Ning Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Kai Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Qian Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Xiaoqin Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Yunyan Xie
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Changbiao Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Sufang Xue
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Liyuan Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Hui Yao
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Jianping Ding
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Shuqin Zhan
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Baoquan Min
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Chunqiu Fan
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Aihong Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Zhichao Sun
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Lu Yin
- Medical Research & Biometrics Centre, National Centre for Cardiovascular Diseases Cardiovascular
| | - Qingfeng Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University
| | - Andrius Baskys
- Andrius Baskys, Graduate College of Biomedical Sciences, Western University of Health Sciences, Pomona, CA
| | - Ricardo E. Jorge
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX
| | - Haiqing Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University
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