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Yao H, Yeung PK, Zaki TA, Meneveau C. Forward and Inverse Energy Cascade in Fluid Turbulence Adhere to Kolmogorov's Refined Similarity Hypothesis. Phys Rev Lett 2024; 132:164001. [PMID: 38701479 DOI: 10.1103/physrevlett.132.164001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 02/28/2024] [Indexed: 05/05/2024]
Abstract
We study fluctuations of the local energy cascade rate Φ_{ℓ} in turbulent flows at scales (ℓ) in the inertial range. According to the Kolmogorov refined similarity hypothesis (KRSH), relevant statistical properties of Φ_{ℓ} should depend on ε_{ℓ}, the viscous dissipation rate locally averaged over a sphere of size ℓ, rather than on the global average dissipation. However, the validity of KRSH applied to Φ_{ℓ} has not yet been tested from data. Conditional averages such as ⟨Φ_{ℓ}|ε_{ℓ}⟩ as well as of higher-order moments are measured from direct numerical simulations data, and results clearly adhere to the predictions from KRSH. Remarkably, the same is true when considering forward (Φ_{ℓ}>0) and inverse (Φ_{ℓ}<0) cascade events separately. Measured ratios of forward and inverse cascade probability densities conditioned on ε_{ℓ} also confirm the applicability of the KRSH to analysis of the fluctuation relation from nonequilibrium thermodynamics.
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Affiliation(s)
- H Yao
- Department of Mechanical Engineering & Institute for Data Intensive Engineering & Science, Johns Hopkins University, 3400 N. Charles Street, Baltimore, Maryland 21218, USA
| | - P K Yeung
- Department of Aerospace Engineering and Mechanical Engineering, Georgia Institute of Technology, North Avenue, Atlanta, Georgia 30332, USA
| | - T A Zaki
- Mechanical Engineering & IDIES, Johns Hopkins University, 3400 N. Charles Street, Baltimore, Maryland 21218, USA
| | - C Meneveau
- Mechanical Engineering & IDIES, Johns Hopkins University, 3400 N. Charles Street, Baltimore, Maryland 21218, USA
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Coulibaly I, N'Djessan JJ, Adoubi A, Yao H, Gbetchedji S, Soya E, Ncho-Mottoh MP, Angoran I, Kouamé S, Tro G, Touré C, Anzouan-Kacou JB. [Acute heart failure with altered ejection fraction : Electrocardiographic signs with mortality at the Abidjan cardiology institute]. Ann Cardiol Angeiol (Paris) 2024; 73:101628. [PMID: 37984237 DOI: 10.1016/j.ancard.2023.101628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/01/2023] [Accepted: 06/26/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Heart failure with impaired ejection fraction (HFIEF) represents the end-stage of most cardiac diseases, and is responsible for a high mortality rate. In order to identify patients at risk, numerous clinical and paraclinical prognostic factors have been proposed. The electrocardiogram (ECG), easy to perform and inexpensive, retains a powerful role in the prognostic evaluation of heart failure patients. The aim was to evaluate ECG signs associated with mortality in a retrospective cohort of patients with ICFEA. METHODOLOGY The study was observational and analytical based on retrospective data collected from patients benefiting from a primary hospitalization for ICFEA at the Abidjan Heart Institute from January 2018 to July 2020. RESULTS Of the 370 patients included, 197 had died by August 1, 2020, representing an overall mortality of 53%. Mortality progressed gradually up to one year, then remained unchanged up to 30 months. In multivariate Cox regression including ECG variables only, the presence of intra-ventricular conduction disorders (OR: 1.80; 95% CI [1.01-3.25]), microvoltage (OR: 1.82; 95% CI [1.05-16]), and pathological Q waves (OR: 1.70; 95% CI [1.02-2.83]), were significantly associated with overall mortality. When ECG variables and clinical, paraclinical and therapeutic demographic variables were included, only the presence of pathological Q waves (OR:1.74; 95% CI [1.01-3.01]) persisted as a risk factor for mortality. Hypertension and treatment of heart failure, in particular ACEI/ARII, beta-blockers and ARM, were protective factors. The presence of Q waves was associated with a significant reduction in survival, based on curves obtained using the Kaplan-Meier model. CONCLUSION ICFEA is responsible for high mortality, mainly in the year following the 1st hospitalization for cardiac decompensation. The presence of pathological Q waves is the only electrocardiographic sign that remains statistically associated with a poor prognosis, after adjustment.
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Affiliation(s)
- I Coulibaly
- Service d'hospitalisation de médecine, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - J J N'Djessan
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, Côte d'Ivoire.
| | - A Adoubi
- Service d'hospitalisation de médecine, Centre Hospitalier Universitaire de Bouaké, Côte d'Ivoire
| | - H Yao
- Service des explorations externes, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - S Gbetchedji
- Service d'hospitalisation de médecine, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - E Soya
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - M P Ncho-Mottoh
- Service d'hospitalisation de médecine, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - I Angoran
- Service des explorations externes, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - S Kouamé
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - G Tro
- Service d'hospitalisation de médecine, Centre Hospitalier Universitaire de Bouaké, Côte d'Ivoire
| | - C Touré
- Service d'hospitalisation de médecine, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - J B Anzouan-Kacou
- Service des explorations externes, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
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Zhao K, Chen P, Alexander-Bloch A, Wei Y, Dyrba M, Yang F, Kang X, Wang D, Fan D, Ye S, Tang Y, Yao H, Zhou B, Lu J, Yu C, Wang P, Liao Z, Chen Y, Huang L, Zhang X, Han Y, Li S, Liu Y. A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study. EClinicalMedicine 2023; 65:102276. [PMID: 37954904 PMCID: PMC10632687 DOI: 10.1016/j.eclinm.2023.102276] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 11/14/2023] Open
Abstract
Background Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that poses a worldwide public health challenge. A neuroimaging biomarker would significantly improve early diagnosis and intervention, ultimately enhancing the quality of life for affected individuals and reducing the burden on healthcare systems. Methods Cross-sectional and longitudinal data (10,099 participants with 13,380 scans) from 12 independent datasets were used in the present study (this study was performed between September 1, 2021 and February 15, 2023). The Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN) score was developed via integrated regional- and network-based measures under an ensemble machine learning model based on structural MRI data. We systematically assessed whether IBRAIN could be a neuroimaging biomarker for AD. Findings IBRAIN accurately differentiated individuals with AD from NCs (AUC = 0.92) and other neurodegenerative diseases, including Frontotemporal dementia (FTD), Parkinson's disease (PD), Vascular dementia (VaD) and Amyotrophic Lateral Sclerosis (ALS) (AUC = 0.92). IBRAIN was significantly correlated to clinical measures and gene expression, enriched in immune process and protein metabolism. The IBRAIN score exhibited a significant ability to reveal the distinct progression of prodromal AD (i.e., Mild cognitive impairment, MCI) (Hazard Ratio (HR) = 6.52 [95% CI: 4.42∼9.62], p < 1 × 10-16), which offers similar powerful performance with Cerebrospinal Fluid (CSF) Aβ (HR = 3.78 [95% CI: 2.63∼5.43], p = 2.13 × 10-14) and CSF Tau (HR = 3.77 [95% CI: 2.64∼5.39], p = 9.53 × 10-15) based on the COX and Log-rank test. Notably, the IBRAIN shows comparable sensitivity (beta = -0.70, p < 1 × 10-16) in capturing longitudinal changes in individuals with conversion to AD than CSF Aβ (beta = -0.26, p = 4.40 × 10-9) and CSF Tau (beta = 0.12, p = 1.02 × 10-5). Interpretation Our findings suggested that IBRAIN is a biologically relevant, specific, and sensitive neuroimaging biomarker that can serve as a clinical measure to uncover prodromal AD progression. It has strong potential for application in future clinical practice and treatment trials. Funding Science and Technology Innovation 2030 Major Projects, the National Natural Science Foundation of China, Beijing Natural Science Funds, the Fundamental Research Funds for the CentralUniversity, and the Startup Funds for Talents at Beijing Normal University.
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Affiliation(s)
- Kun Zhao
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Pindong Chen
- School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Centre, Chinese Academy of Sciences, Beijing, China
| | - Aaron Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Martin Dyrba
- German Centre for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Fan Yang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Xiaopeng Kang
- School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Centre, Chinese Academy of Sciences, Beijing, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Shan Ye
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Yi Tang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Hongxiang Yao
- Department of Radiology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Bo Zhou
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Zhengluan Liao
- Department of Psychiatry, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Yan Chen
- Department of Psychiatry, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Longjian Huang
- Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Xi Zhang
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- National Clinical Research Centre for Geriatric Disorders, Beijing, China
- Centre of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
| | - Shuyu Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Yong Liu
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Centre, Chinese Academy of Sciences, Beijing, China
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Qu Y, Wang P, Yao H, Wang D, Song C, Yang H, Zhang Z, Chen P, Kang X, Du K, Fan L, Zhou B, Han T, Yu C, Zhang X, Zuo N, Jiang T, Zhou Y, Liu B, Han Y, Lu J, Liu Y. Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer's Disease. Neurosci Bull 2023; 39:1533-1543. [PMID: 37014553 PMCID: PMC10533766 DOI: 10.1007/s12264-023-01041-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/29/2022] [Indexed: 04/05/2023] Open
Abstract
Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
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Affiliation(s)
- Yida Qu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, 300222, China
| | - Hongxiang Yao
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, 300222, China
| | - Dawei Wang
- Department of Radiology, Department of Epidemiology and Health Statistics, School of Public Health, Qilu Hospital of Shandong University, Ji'nan, 250063, China
| | - Chengyuan Song
- Department of Neurology, Qilu Hospital of Shandong University, Ji'nan, 250063, China
| | - Hongwei Yang
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Zengqiang Zhang
- Branch of Chinese, PLA General Hospital, Sanya, 572022, China
| | - Pindong Chen
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaopeng Kang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kai Du
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lingzhong Fan
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bo Zhou
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100089, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, 300222, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xi Zhang
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100089, China
| | - Nianming Zuo
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, 300222, China
| | - Bing Liu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Lab of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, 100091, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
- Beijing Institute of Geriatrics, Beijing, 100053, China
- National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
| | - Yong Liu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
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Xu X, Cai YX, Liu YH, Shen Y, Pan Y, Yao H, Wang XL, Yang P. [Comparison of incubation periods of infections of Omicron variants BA.2 and BF.7 in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1397-1401. [PMID: 37743272 DOI: 10.3760/cma.j.cn112338-20230316-00153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Objective: To understand the incubation periods of infections of Omicron variants BA.2 and BF.7 in two COVID-19 epidemics and related factors in Beijing and provide basic parameters for the establishment of 2019-nCoV dynamic transmission model. Methods: The COVID-19 cases with specific exposure time and onset time in the Omicron variant BA.2 infection epidemic in April 2022 and in the Omicron variant BF.7 infection epidemic in October 2022 in Beijing were included in the analysis. The rank-sum test was conducted to estimate the differences in the incubation period between two types of infections. The incubation period distribution of the Omicron variant infection was fitted by using Weibull, Gamma and lognormal distributions. Multivariate analysis of variance was conducted to assess the effects of age, sex, variant type and vaccination status on the incubation periods. Results: A total of 64 cases of variant BA.2 infection and 58 cases of variant BF.7 infection were included. The M(Q1,Q3) of the incubation period was 3.00 (3.00, 4.00) days for BA.2 infection and 3.00 (2.00, 3.25) days for BF.7 infection. The lognormal distribution was the best fit. Multivariate analysis of variance showed that there were some differences in the incubation periods between two types of infections of Omicron variants, and the incubation period of variant BF.7 infection was shorter than that of variant BA.2 infection. Conclusion: Omicron variant BF.7 infection had shorter incubation period compared with Omicron variant BA.2 infection.
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Affiliation(s)
- X Xu
- Beijing Office of Global Health, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Y X Cai
- Beijing Office of Global Health, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Y H Liu
- Beijing Office of Global Health, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Y Shen
- Beijing Office of Global Health, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Y Pan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - H Yao
- Beijing Office of Global Health, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - X L Wang
- Beijing Office of Global Health, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - P Yang
- Central Office, Beijing Center for Disease Prevention and Control, Beijing 100013, China
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Luo J, Zheng J, Yao H, Wang B, Zhang Z, Shao G. Radioactive 125I Seed Inhibits Cell Migration and Invasion and Promotes Apoptosis by Inactivating the VEGFR2 Signaling Pathway in Cholangiocarcinoma. Dose Response 2023; 21:15593258231187348. [PMID: 37424703 PMCID: PMC10328048 DOI: 10.1177/15593258231187348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023] Open
Abstract
Objectives To investigate the potential mechanisms of 125I seed implantation therapeutic treatment on inactivating the VEGFR2/PI3K/AKT pathway in cholangiocarcinoma. Methods The human cholangiocarcinoma cell lines HCCC-9810 and HuCCT1 were purchased for in vitro studies. The BALB/c nude mice were obtained for in vivo studies. The proliferation of cells was detected by CCK-8, colony formation, and BrdU staining. The migration and invasion of cells were determined by wound healing assay and Transwell assay, respectively. Hematoxylin and eosin staining was utilized for histological evaluation. Protein expression was determined by western blotting and immunohistochemistry. Results Compared with the control group, .6 mCi group and .8 mCi group inhibited cholangiocarcinoma cells proliferation, invasion, migration, and promoted apoptosis, the protein expression of p-VEGFR2, VEGFR2, PI3K, p-AKT/AKT, cyclin B1, cyclin A, CDK1, and Bcl-2 was decreased. Similar results were obtained from in vitro experiments. However, when VEGF is overexpressed, the inhibitory effect of .8 mCi was partially significantly reversed on cholangiocarcinoma cells. The in vivo studies further confirmed the inhibitory effects of .6 mCi group and .8 mCi group on cholangiocarcinoma. Conclusion 125I seed irradiation could inhibit cholangiocarcinoma cells proliferation, migration, and invasion and promote apoptosis through inactivation of the VEGFR2/PI3K/AKT signaling pathway.
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Affiliation(s)
- Jun Luo
- Zhejiang Cancer Hospital, Hangzhou Institute oiledicine (HIM), Chinese Academy of Sciences, Hangzhou, Zheiiang, China
| | - Jiaping Zheng
- Zhejiang Cancer Hospital, Hangzhou Institute oiledicine (HIM), Chinese Academy of Sciences, Hangzhou, Zheiiang, China
| | - Hongxiang Yao
- The Second Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Binbing Wang
- Zhejiang Cancer Hospital, Hangzhou Institute oiledicine (HIM), Chinese Academy of Sciences, Hangzhou, Zheiiang, China
| | - Zhewei Zhang
- Zhejiang Cancer Hospital, Hangzhou Institute oiledicine (HIM), Chinese Academy of Sciences, Hangzhou, Zheiiang, China
| | - Guoliang Shao
- Zhejiang Cancer Hospital, Hangzhou Institute oiledicine (HIM), Chinese Academy of Sciences, Hangzhou, Zheiiang, China
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Yao H, Ekou A, Ehouman E, Guezo M, Soya E, Kouadio D, Touré C, Kipenge R, Koffi D, N'Guetta R. [Cardiovascular risk assessment among patients with hypertension based on SCORE2 and SCORE-OP algorithms in black Africans]. Ann Cardiol Angeiol (Paris) 2023; 72:101602. [PMID: 37187110 DOI: 10.1016/j.ancard.2023.101602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 04/07/2023] [Accepted: 04/12/2023] [Indexed: 05/17/2023]
Abstract
BACKGROUND Hypertension is a major risk factor for cardiovascular events. The cardiovascular risk assessment is performed using specific algorithms, particularly SCORE2 and SCORE2-OP developed by the European Society of Cardiology. PATIENTS AND METHODS Prospective cohort study from February 1, 2022, to July 31, 2022, enrolling 410 hypertensive patients. Epidemiological, paraclinical, therapeutic, and follow-up data were analyzed. Cardiovascular risk stratification of patients was performed using SCORE2 and SCORE2-OP algorithms. We compared the initial and 6-month cardiovascular risks. RESULTS The mean age of the patients was 60.88 ± 12.35 years with a female predominance (sex ratio = 0.66). In addition to hypertension, dyslipidemia (45.4%) was the most frequently associated risk factor. A high proportion of patients were classified as high (48.6%) and very high (46.3%) cardiovascular risk, with a significant difference between men and women. Reassessment of cardiovascular risk after 6 months of treatment found significant differences compared with the initial cardiovascular risk (p < 0.001). The rate of patients at low to moderate cardiovascular risk (49.5%) increased substantially, whereas the proportion of patients at very high risk decreased (6.8%). CONCLUSION Our study conducted at Abidjan Heart Institute in a young population of patients with hypertension revealed a severe cardiovascular risk profile. Almost half of the patients are classified at very high cardiovascular risk, based on the SCORE2 and SCORE2-OP. The widespread use of these new algorithms for risk stratification should lead to more aggressive management and prevention strategies for hypertension and associated risk factors.
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Affiliation(s)
- H Yao
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - A Ekou
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - E Ehouman
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - M Guezo
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - E Soya
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - D Kouadio
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - C Touré
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - R Kipenge
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - D Koffi
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - R N'Guetta
- Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
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Jing R, Chen P, Wei Y, Si J, Zhou Y, Wang D, Song C, Yang H, Zhang Z, Yao H, Kang X, Fan L, Han T, Qin W, Zhou B, Jiang T, Lu J, Han Y, Zhang X, Liu B, Yu C, Wang P, Liu Y. Altered large-scale dynamic connectivity patterns in Alzheimer's disease and mild cognitive impairment patients: A machine learning study. Hum Brain Mapp 2023; 44:3467-3480. [PMID: 36988434 DOI: 10.1002/hbm.26291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 02/27/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Alzheimer's disease (AD) is a common neurodegeneration disease associated with substantial disruptions in the brain network. However, most studies investigated static resting-state functional connections, while the alteration of dynamic functional connectivity in AD remains largely unknown. This study used group independent component analysis and the sliding-window method to estimate the subject-specific dynamic connectivity states in 1704 individuals from three data sets. Informative inherent states were identified by the multivariate pattern classification method, and classifiers were built to distinguish ADs from normal controls (NCs) and to classify mild cognitive impairment (MCI) patients with informative inherent states similar to ADs or not. In addition, MCI subgroups with heterogeneous functional states were examined in the context of different cognition decline trajectories. Five informative states were identified by feature selection, mainly involving functional connectivity belonging to the default mode network and working memory network. The classifiers discriminating AD and NC achieved the mean area under the receiver operating characteristic curve of 0.87 with leave-one-site-out cross-validation. Alterations in connectivity strength, fluctuation, and inter-synchronization were found in AD and MCIs. Moreover, individuals with MCI were clustered into two subgroups, which had different degrees of atrophy and different trajectories of cognition decline progression. The present study uncovered the alteration of dynamic functional connectivity in AD and highlighted that the dynamic states could be powerful features to discriminate patients from NCs. Furthermore, it demonstrated that these states help to identify MCIs with faster cognition decline and might contribute to the early prevention of AD.
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Affiliation(s)
- Rixing Jing
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Pindong Chen
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Juanning Si
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Chengyuan Song
- Department of Neurology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Hongwei Yang
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | | | - Hongxiang Yao
- Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Xiaopeng Kang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Wen Qin
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Bo Zhou
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Tianzi Jiang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Institute of Geriatrics, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Xi Zhang
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Bing Liu
- State Key Laboratory of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China
| | - Yong Liu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
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Chen P, Zhao K, Zhang H, Wei Y, Wang P, Wang D, Song C, Yang H, Zhang Z, Yao H, Qu Y, Kang X, Du K, Fan L, Han T, Yu C, Zhou B, Jiang T, Zhou Y, Lu J, Han Y, Zhang X, Liu B, Liu Y. Altered global signal topography in Alzheimer's disease. EBioMedicine 2023; 89:104455. [PMID: 36758481 PMCID: PMC9941064 DOI: 10.1016/j.ebiom.2023.104455] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 06/07/2022] [Revised: 12/31/2022] [Accepted: 01/17/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a neurodegenerative disease associated with widespread disruptions in intrinsic local specialization and global integration in the functional system of the brain. These changes in integration may further disrupt the global signal (GS) distribution, which might represent the local relative contribution to global activity in functional magnetic resonance imaging (fMRI). METHODS fMRI scans from a discovery dataset (n = 809) and a validated dataset (n = 542) were used in the analysis. We investigated the alteration of GS topography using the GS correlation (GSCORR) in patients with mild cognitive impairment (MCI) and AD. The association between GS alterations and functional network properties was also investigated based on network theory. The underlying mechanism of GSCORR alterations was elucidated using imaging-transcriptomics. FINDINGS Significantly increased GS topography in the frontal lobe and decreased GS topography in the hippocampus, cingulate gyrus, caudate, and middle temporal gyrus were observed in patients with AD (Padj < 0.05). Notably, topographical GS changes in these regions correlated with cognitive ability (P < 0.05). The changes in GS topography also correlated with the changes in functional network segregation (ρ = 0.5). Moreover, the genes identified based on GS topographical changes were enriched in pathways associated with AD and neurodegenerative diseases. INTERPRETATION Our findings revealed significant changes in GS topography and its molecular basis, confirming the informative role of GS in AD and further contributing to the understanding of the relationship between global and local neuronal activities in patients with AD. FUNDING Beijing Natural Science Funds for Distinguished Young Scholars, China; Fundamental Research Funds for the Central Universities, China; National Natural Science Foundation, China.
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Affiliation(s)
- Pindong Chen
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Kun Zhao
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Han Zhang
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital Tianjin University, Tianjin, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Chengyuan Song
- Department of Neurology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Hongwei Yang
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | | | - Hongxiang Yao
- Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yida Qu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaopeng Kang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Kai Du
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Bo Zhou
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Tianzi Jiang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital Tianjin University, Tianjin, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Institute of Geriatrics, Beijing, China; National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Xi Zhang
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Bing Liu
- State Key Laboratory of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China
| | - Yong Liu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
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10
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Li D, Yi Z, Wu Q, Huang Y, Yao H, Tan Z, Yang Y, Zhang W. De novo DCHS1 splicing mutation in a patient with mitral valve prolapse. QJM 2023; 116:121-122. [PMID: 36053189 DOI: 10.1093/qjmed/hcac214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/26/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- D Li
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Z Yi
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Q Wu
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Y Huang
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - H Yao
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Z Tan
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Y Yang
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - W Zhang
- From the Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, China
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11
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Zhu Y, Liang L, Li J, Zeng J, Yao H, Wu L. 60P Deciphering CD8+ T-cell-related gene signatures in the tumor microenvironment to predict the immunotherapy response and prognosis of ovarian cancer patients. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.100840] [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: 02/27/2023] Open
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12
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Yao H, Putot A, Chagué F, Maza M, Bichat F, Cottin Y, Zeller M. Prognostic and diagnostic impact of new pathophysiology-based categorization of type 1 and type 2 myocardial infarction: Data from the French RICO survey. Archives of Cardiovascular Diseases Supplements 2023. [DOI: 10.1016/j.acvdsp.2022.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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13
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Xu B, Ma F, Wang S, Tong Z, Li W, Wu X, Wang X, Sun T, Pan Y, Yao H, Wang X, Luo T, Yang J, Zeng X, Zhao W, Cong X, Wang N, Xu C, Chen J. 22MO Efficacy and safety of sacituzumab govitecan in Chinese patients with metastatic triple-negative breast cancer (mTNBC) by baseline HER2 expression level: Subgroup analysis from a phase IIb trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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14
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Yang Z, Gao J, Zhang X, Wu G, Deng W, Liu Y, Zhang J, Chen G, Xu R, Han J, Li A, Liu G, Sun Y, Kong D, Bai Z, Yao H, Zhang Z. 47P Safety and efficacy evaluation of long-course neoadjuvant chemoradiotherapy plus tislelizumab followed by total mesorectal excision for locally advanced rectal cancer: Intermediate results of a multicenter, phase II study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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15
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Ruichong L, Wang Z, Gu Y, Ou Q, Yu C, Yu Y, Su W, Yao H. 9P Development and validation of a pathogenomics model to improve the risk stratification of breast cancer: A deep learning study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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16
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Yao H, Putot A, Chague F, Maza M, Bichat F, Cottin Y, Zeller M. Prognostic and diagnostic impact of new pathophysiology-based categorization of type 1 and type 2 myocardial infarction: data from the French RICO survey. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
A new classification of type 1 and 2 myocardial infarction (MI) derived from the fourth universal definition of MI (UDMI) has been recently proposed, based on pathophysiology of coronary artery disease (CAD),. We assessed the impact of this new MI categorization on epidemiology and outcomes.
Methods
Retrospective study including all consecutive patients hospitalized for an acute MI in a multicenter database (RICO). MI was defined according to current UDMI. Rates and outcomes of T1MI and T2MI were addressed according to the new classification.
Results
Among the 4573 patients included on our study, 3710 patients (81.1%) were initially diagnosed with T1M1 and 863 (18.9%) with T2MI. After reclassification, 96 T2MI patients were moved into the T1MI category. Out of the remaining 767 patients with T2MI, 567 underwent coronary angiography, and were adjudicated as type 2A MI (68.6%) with obstructive CAD, and type 2B MI (31.4%) without obstructive CAD.
When compared with T1MI and T2BMI, T2AMI patients had worse in-hospital outcomes, including heart failure (p<0.001), recurrent infarction (p<0.048) and mechanical complications such as mitral insufficiency (p=0.001). The 3 groups (T1AMI, T2AMI and T2BMI) had similar all-cause and cardiovascular death rates, with a trend for a higher all-cause mortality in T2AMI patients.
Kaplan-Meier one-year survival curves showed higher all-cause and cardiovascular causes mortality in T2AMI patients compared to T1MI and T2BMI (p<0.001). In multivariate Cox regression, type of MI was independent predictor of death.
Conclusion
Our large observational multicenter study shows major disparities in mortality according to type of MI and support the relevance of the new MI classification to improve risk classification. Our findings may will help identifying specific phenotypes and considering personalized diagnostic and management strategies.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Agence Régionale de Santé (ARS) de Bourgogne Franche-ComtéRegional Council of Bourgogne Franche-Comté.
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Affiliation(s)
- H Yao
- University Hospital of Dijon, Cardiology , Dijon , France
| | - A Putot
- University of Bourgogne Franche Comte, PEC2, EA 7460 , Dijon , France
| | - F Chague
- University Hospital of Dijon, Cardiology , Dijon , France
| | - M Maza
- University Hospital of Dijon, Cardiology , Dijon , France
| | - F Bichat
- University Hospital of Dijon, Cardiology , Dijon , France
| | - Y Cottin
- University Hospital of Dijon, Cardiology , Dijon , France
| | - M Zeller
- University of Bourgogne Franche Comte, PEC2, EA 7460 , Dijon , France
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Xu B, Ma F, Wang S, Tong Z, Li W, Wu X, Wang X, Sun T, Pan Y, Yao H, Wang X, Luo T, Yang J, Zeng X, Zhao W, Cong X, Chen J. 248P Sacituzumab govitecan in Chinese patients with metastatic triple-negative breast cancer who received at least two prior treatments. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.287] [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: 11/17/2022] Open
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Tia M, Koffi R, Kpan J, Yao H, Gnionsahe A. Dépistage de la maladie rénale chronique en population générale dans une ville africaine en 2022. Nephrol Ther 2022. [DOI: 10.1016/j.nephro.2022.07.066] [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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Chen Y, Zhao M, Hu X, Yao H. GYNAECOMASTIA APPEARED THREE DAYS AFTER STARTING METHIMAZOLE. Acta Endocrinol (Buchar) 2022; 18:398-400. [PMID: 36699158 PMCID: PMC9867811 DOI: 10.4183/aeb.2022.398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
We reported that in a 29-year-old male patient with hyperthyroidism, bilateral breast swelling appeared in three days after starting methimazole and gradually aggravated. Several days later, a small amount of transparent liquid could be squeezed out from bilateral mammary glands. Breast ultrasound confirmed gynaecomastia. The level of testosterone, estradiol and luteinizing hormone increased. After the patient continued taking methimazole for a while, gynaecomastia relieved. Testosterone, luteinizing hormone and thyroid functions restored to normal. The possible mechanisms included increased levels of serum total cholesterol and relatively decreased T3 after initiating methimazole.
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Affiliation(s)
- Y. Chen
- Sixth Medical Center of PLA General Hospital, Department of Endocrinology, Haidian District, Beijing, China
| | | | - X. Hu
- Sixth Medical Center of PLA General Hospital, Department of Endocrinology, Haidian District, Beijing, China
| | - H. Yao
- Sixth Medical Center of PLA General Hospital, Department of Endocrinology, Haidian District, Beijing, China
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Chen P, Yao H, Tijms BM, Wang P, Wang D, Song C, Yang H, Zhang Z, Zhao K, Qu Y, Kang X, Du K, Fan L, Han T, Yu C, Zhang X, Jiang T, Zhou Y, Lu J, Han Y, Liu B, Zhou B, Liu Y. Four Distinct Subtypes of Alzheimer's Disease Based on Resting-State Connectivity Biomarkers. Biol Psychiatry 2022; 93:759-769. [PMID: 36137824 DOI: 10.1016/j.biopsych.2022.06.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/19/2022] [Accepted: 06/13/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is a neurodegenerative disorder with significant heterogeneity. Different AD phenotypes may be associated with specific brain network changes. Uncovering disease heterogeneity by using functional networks could provide insights into precise diagnoses. METHODS We investigated the subtypes of AD using nonnegative matrix factorization clustering on the previously identified 216 resting-state functional connectivities that differed between AD and normal control subjects. We conducted the analysis using a discovery dataset (n = 809) and a validated dataset (n = 291). Next, we grouped individuals with mild cognitive impairment according to the model obtained in the AD groups. Finally, the clinical measures and brain structural characteristics were compared among the subtypes to assess their relationship with differences in the functional network. RESULTS Individuals with AD were clustered into 4 subtypes reproducibly, which included those with 1) diffuse and mild functional connectivity disruption (subtype 1), 2) predominantly decreased connectivity in the default mode network accompanied by an increase in the prefrontal circuit (subtype 2), 3) predominantly decreased connectivity in the anterior cingulate cortex accompanied by an increase in prefrontal cortex connectivity (subtype 3), and 4) predominantly decreased connectivity in the basal ganglia accompanied by an increase in prefrontal cortex connectivity (subtype 4). In addition to these differences in functional connectivity, differences between the AD subtypes were found in cognition, structural measures, and cognitive decline patterns. CONCLUSIONS These comprehensive results offer new insights that may advance precision medicine for AD and facilitate strategies for future clinical trials.
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Affiliation(s)
- Pindong Chen
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Hongxiang Yao
- Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC - Location VUmc, The Netherlands
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Chengyuan Song
- Department of Neurology, Qilu Hospital of Shandong University, Ji'nan, China
| | - Hongwei Yang
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | | | - Kun Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Yida Qu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaopeng Kang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Kai Du
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xi Zhang
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Tianzi Jiang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Institute of Geriatrics, Beijing, China; National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Bing Liu
- State Key Laboratory of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China
| | - Bo Zhou
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
| | - Yong Liu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
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Yao H, Ekou A, Brou I, Niamkey T, Koffi F, Tano S, Kouamé I, N'Guetta R. [Evolution of epidemiology and management of acute coronary syndromes in Abidjan : A cross-sectional study of 1011 patients.]. Ann Cardiol Angeiol (Paris) 2022; 71:130-135. [PMID: 35293317 DOI: 10.1016/j.ancard.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 11/29/2020] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND To assess the evolution of the epidemiology and management of patients hospitalized to Abidjan Heart Institute for acute coronary syndrome (ACS). METHODS Cross-sectional study comparing two periods: from January 2002 to December 2009 (period 1) and from January 2010 to December 2016 (period 2), including all patients aged 18 years old, admitted to Intensive Care Unit of Abidjan Heart Institute for ACS. RESULTS One thousand eleven (1011) patients were included among the 6784 patients admitted to Intensive Care Unit of Abidjan Heart Institute for a cardiovascular disease. The overall prevalence of ACS was 14.9%. The prevalence in period 2 was significantly higher than in period 1 (22.6% and 7.3% respectively, p < 0.001). Diabetes (33.5%, p < 0.001) significantly, and smoking (30.7%, p = 0.30) had the largest rises from period 1 to period 2. ST-segment Elevation Myocardial Infarction was the main clinical presentation during both periods. The median time to treatment (p = 0.46) and length of hospital stay (p <0.001) decreased during period 2. Percutaneous coronary intervention (PCI) was performed in 173 patients (22.6%) during the period 2 and 42 patients (5.5%) underwent primary PCI. The rate of fibrinolysis increased significantly between the two periods (9.5%, p <0.001). In-hospital death increased during period 2 (10.4%, p = 0.07). CONCLUSION The burden of ACS and its related mortality have risen alarmingly past years in Côte d'Ivoire. Healthcare policies should help improve the management and outcomes of patients.
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Affiliation(s)
- H Yao
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - A Ekou
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - I Brou
- Laboratoire de biostatistique et d'informatique médicale, Centre Hospitalier Universitaire de Cocody, Abidjan, Côte d'Ivoire
| | - T Niamkey
- Service des explorations externes, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - F Koffi
- Service des Urgences, Institut de Cardiologie d'Abidjan, Côte d'Ivoire
| | - S Tano
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - I Kouamé
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire
| | - R N'Guetta
- Unité de Soins Intensifs Cardiologiques, Institut de Cardiologie d'Abidjan, 01 BP V 206 Abidjan, Côte d'Ivoire.
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22
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Yu Y, Ou Q, Yu C, Wang L, Zhang R, Zhao R, Qu B, Wang Z, Lin R, Yao H. 7P Development and validation of a deep learning RNA modification model predict disease-free survival in patients with breast cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.022] [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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23
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Xu XQ, Zhang JW, Chen RM, Luo JS, Chen SK, Zheng RX, Wu D, Zhu M, Wang CL, Liang Y, Yao H, Wei HY, Su Z, Maimaiti M, Du HW, Luo FH, Li P, Si ST, Wu W, Huang K, Dong GP, Yu YX, Fu JF. [Relationship between body mass index and sexual development in Chinese children]. Zhonghua Er Ke Za Zhi 2022; 60:311-316. [PMID: 35385936 DOI: 10.3760/cma.j.cn112140-20210906-00754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the relationship between body mass index (BMI) and sexual development in Chinese children. Methods: A nationwide multicenter and population-based large cross-sectional study was conducted in 13 provinces, autonomous regions and municipalities of China from January 2017 to December 2018. Data on sex, age, height, weight were collected, BMI was calculated and sexual characteristics were analyzed. The subjects were divided into four groups based on age, including ages 3-<6 years, 6-<10 years, 10-<15 years and 15-<18 years. Multiple Logistic regression models were used for evaluating the associations of BMI with sexual development in children. Dichotomous Logistic regression was used to compare the differences in the distribution of early and non-early puberty among normal weight, overweight and obese groups. Curves were drawn to analyze the relationship between the percentage of early puberty and BMI distribution in girls and boys at different Tanner stages. Results: A total of 208 179 healthy children (96 471 girls and 111 708 boys) were enrolled in this study. The OR values of B2, B3 and B4+ in overweight girls were 1.72 (95%CI: 1.56-1.89), 3.19 (95%CI: 2.86-3.57), 7.14 (95%CI: 6.33-8.05) and in obese girls were 2.05 (95%CI: 1.88-2.24), 4.98 (95%CI: 4.49-5.53), 11.21 (95%CI: 9.98-12.59), respectively; while the OR values of G2, G3, G4+ in overweight boys were 1.27 (95%CI: 1.17-1.38), 1.52 (95%CI: 1.36-1.70), 1.88 (95%CI: 1.66-2.14) and in obese boys were 1.27 (95%CI: 1.17-1.37), 1.59 (95%CI: 1.43-1.78), and 1.93 (95%CI: 1.70-2.18) (compared with normal weight Tanner 1 group,all P<0.01). Analysis in different age groups found that OR values of obese girls at B2 stage and boys at G2 stage were 2.02 (95%CI: 1.06-3.86) and 2.32 (95%CI:1.05-5.12) in preschool children aged 3-<6 years, respectively (both P<0.05). And in the age group of 6-10 years, overweight girls had a 5.45-fold risk and obese girls had a 12.54-fold risk of B3 stage compared to girls with normal BMI. Compared with normal weight children, the risk of early puberty was 2.67 times higher in overweight girls, 3.63 times higher in obese girls, and 1.22 times higher in overweight boys, 1.35 times higher in obese boys (all P<0.01). Among the children at each Tanner stages, the percentage of early puberty increased with the increase of BMI, from 5.7% (80/1 397), 16.1% (48/299), 13.8% (27/195) to 25.7% (198/769), 65.1% (209/321), 65.4% (157/240) in girls aged 8-<9, 10-<11 and 11-<12 years, and 6.6% (34/513), 18.7% (51/273), 21.6% (57/264) to 13.3% (96/722), 46.4% (140/302), 47.5% (105/221) in boys aged 9-<10, 12-<13 and 13-<14 years, respectively. Conclusions: BMI is positively correlated with sexual development in both Chinese boys and girls, and the correlation is stronger in girls. Obesity is a risk factor for precocious puberty in preschool children aged 3-<6 years, and 6-<10 years of age is a high risk period for early development in obese girls.
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Affiliation(s)
- X Q Xu
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J W Zhang
- Department of Pediatrics, Shaoxing Maternity and Child Health Care Hospital, Shaoxing 312000, China
| | - R M Chen
- Department of Endocrinology, Fuzhou Children's Hospital of Fujian Province, Fuzhou 350000, China
| | - J S Luo
- Department of Endocrinology and Genetic Diseases, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530003, China
| | - S K Chen
- Department of Endocrinology and Genetic Diseases, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530003, China
| | - R X Zheng
- Department of Pediatrics, Tianjin Medical University General Hospital, Tianjin 350002, China
| | - D Wu
- Department of Endocrinology Genetics and Metabolism, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - M Zhu
- Department of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - C L Wang
- Department of Pediatrics, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310053, China
| | - Y Liang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H Yao
- Department of Genetic Metabolism and Endocrinology, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - H Y Wei
- Department of Endocrinology and Metabolism, Genetics, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - Z Su
- Department of Endocrinology, Shenzhen Children's Hospital, Shenzhen 518028, China
| | - Mireguli Maimaiti
- Department of Pediatrics, the First Affiliated Hospital of Xinjiang Medical University, Urumchi 830054, China
| | - H W Du
- Department of Pediatrics, the First Bethune Hospital of Jilin University, Changchun 130021, China
| | - F H Luo
- Department of Endocrinology, Children's Hospital of Fudan University, Shanghai 201102, China
| | - P Li
- Department of Endocrinology, Children's Hospital of Shanghai, Shanghai 200062, China
| | - S T Si
- School of Public Health, Zhejiang University, Hangzhou 310014, China
| | - W Wu
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - K Huang
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - G P Dong
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y X Yu
- School of Public Health, Zhejiang University, Hangzhou 310014, China
| | - J F Fu
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Jin XQ, Feng MX, Yao H, Guo SH, Chen XY, Zheng HT, Dong XY, Xu TF, Meng JF. Evolution of Aroma Profiles and Potential in Shine Muscat Grape Berry during Ripening. S AFR J ENOL VITIC 2022. [DOI: 10.21548/43-2-5103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
hine Muscat, with its excellent quality and unique Muscat aroma, is emerging as one of the most profitable table grape cultivars in Asia. However, in-depth analysis of the cultivar’s aroma profile before berries are harvest-ready is lacking. The aroma components and their concentrations undergo substantial changes during berry ripening, which provides an opportunity for producing some juice/wine products with special flavour. In this study, the evolution of free and bound aroma compounds in Shine Muscat grapes was analysed from EL-35 to EL-38. The main aroma attributes of harvest-ready berries were: ‘green’, ‘sweet’, ‘floral’ and ‘fruity’. The headspace SPME-GC-MS analysis revealed that alcohols were the most abundant free and bound compounds in Shine Muscat. Furthermore, the free forms of hexanal, β-damascenone, and (E, Z)-2,6-nonadienal determined the aroma characteristics of the grapes directly, while the bound forms of β-damascenone, (E, Z)-2,6-nonadienal, and 2-hexanol determined the aroma of Shine Muscat that cannot to be smelled directly. Taking all indicators together, we believe that picking Shine Muscat grapes at EL-37 (when a minimum TSS of 17% has been reached) maintains its fine aroma characteristics. These results lay the foundation for the further development, utilisation and study of the aroma characteristics of Shine Muscat grapes.
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25
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Fahey J, Prosser H, Lescai P, Sajeev J, Yao H, Buntine P, Roberts L, Teh A. Elevated Troponin and Diabetes Mellitus are Independent Predictors of Obstructive Coronary Artery Disease in Patients Presenting With Atrial Fibrillation. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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26
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Feng F, Huang W, Meng Q, Hao W, Yao H, Zhou B, Guo Y, Zhao C, An N, Wang L, Huang X, Zhang X, Shu N. Altered Volume and Structural Connectivity of the Hippocampus in Alzheimer's Disease and Amnestic Mild Cognitive Impairment. Front Aging Neurosci 2021; 13:705030. [PMID: 34675796 PMCID: PMC8524052 DOI: 10.3389/fnagi.2021.705030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 09/10/2021] [Indexed: 01/08/2023] Open
Abstract
Background: Hippocampal atrophy is a characteristic of Alzheimer’s disease (AD). However, alterations in structural connectivity (number of connecting fibers) between the hippocampus and whole brain regions due to hippocampal atrophy remain largely unknown in AD and its prodromal stage, amnestic mild cognitive impairment (aMCI). Methods: We collected high-resolution structural MRI (sMRI) and diffusion tensor imaging (DTI) data from 36 AD patients, 30 aMCI patients, and 41 normal control (NC) subjects. First, the volume and structural connectivity of the bilateral hippocampi were compared among the three groups. Second, correlations between volume and structural connectivity in the ipsilateral hippocampus were further analyzed. Finally, classification ability by hippocampal volume, its structural connectivity, and their combination were evaluated. Results: Although the volume and structural connectivity of the bilateral hippocampi were decreased in patients with AD and aMCI, only hippocampal volume correlated with neuropsychological test scores. However, positive correlations between hippocampal volume and ipsilateral structural connectivity were displayed in patients with AD and aMCI. Furthermore, classification accuracy (ACC) was higher in AD vs. aMCI and aMCI vs. NC by the combination of hippocampal volume and structural connectivity than by a single parameter. The highest values of the area under the receiver operating characteristic (ROC) curve (AUC) in every two groups were all obtained by combining hippocampal volume and structural connectivity. Conclusions: Our results showed that the combination of hippocampal volume and structural connectivity (number of connecting fibers) is a new perspective for the discrimination of AD and aMCI.
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Affiliation(s)
- Feng Feng
- Department of Neurology, First Medical Center, Chinese PLA General Hospital, Beijing, China.,Department of Neurology, PLA Rocket Force Characteristic Medical Center, Beijing, China
| | - Weijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Qingqing Meng
- Department of Neurology, Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.,Health Care Office of the Service Bureau of Agency for Offices Administration of the Central Military Commission, Beijing, China
| | - Weijun Hao
- Department of Healthcare, Bureau of Guard, General Office of the Communist Party of China, Beijing, China
| | - Hongxiang Yao
- Department of Radiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Bo Zhou
- Department of Neurology, Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yan'e Guo
- Department of Neurology, Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Cui Zhao
- Department of Neurology, Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.,Department of Geriatrics, Affiliated Hospital of Chengde Medical University, Chengde, China
| | - Ningyu An
- Department of Radiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Luning Wang
- Department of Neurology, Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Xusheng Huang
- Department of Neurology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xi Zhang
- Department of Neurology, Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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27
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Cottin Y, Ben Messaoud B, Yao H, Laurent G, Bisson A, Eicher J, Bodin A, Herbert J, Juilliere Y, Zeller M, Fauchier L. Exploring the temporal relationship between atrial fibrillation and heart failure development. Analysis from nationwide database. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0430] [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: 11/15/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) and heart failure (HF) often coexist and are closely intertwined, each condition worsening the other. The temporal relationships between these two disorders have not yet been fully explored. We assessed, on a nationwide scale, the prognosis of patients hospitalized with HF and AF, based on the timing of AF and HF development.
Methods
From the administrative database covering hospital care for the whole French population, we identified 1,349,638 patients diagnosed with both AF and HF between 2010 and 2018: 956,086 of these AF patients developed HF first (prevalent HF) and 393,552 developed HF after AF (incident HF). The outcome analysis (all-cause death, cardiovascular [CV] death, ischemic stroke or hospitalization for HF) was performed with follow-up starting at the time of last event between AF or HF in the whole cohort and in 427,848 propensity-score-matched patients (213,924 with incident HF and 213,924 with prevalent HF).
Results
During follow-up (mean follow-up 1.6±1.9 year), matched patients with prevalent HF had a higher risk of all-cause death (21.6 vs 19.2%/year), CV death (7.6 vs 6.5%/year) as well as non-cardiovascular death (13.9 vs 12.7%/year) than those with incident HF. The risk for ischemic stroke was lower in the prevalent HF group (1.2 vs 2.4%/year).
Conclusion
In patients hospitalized with both AF and HF, we identified two distinct clinical entities based on the chronological sequence of the two disorders. Patients in whom HF preceded AF (prevalent HF) had higher mortality and higher risk of rehospitalization for HF.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- Y Cottin
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - B.M Ben Messaoud
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - H Yao
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - G Laurent
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - A Bisson
- CHU Trousseau and University François Rabelais, Cardiology department, Tours, France
| | - J.C Eicher
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - A Bodin
- CHU Trousseau and University François Rabelais, Cardiology department, Tours, France
| | - J Herbert
- CHU Trousseau and University François Rabelais, Cardiology department, Tours, France
| | - Y Juilliere
- CHU Nancy, Cardiology department, Nancy, France
| | - M Zeller
- University of Bourgogne Franche Comte, Equipe PEC2, EA 7460, UFR Sciences de Santé, Dijon, France
| | - L Fauchier
- CHU Trousseau and University François Rabelais, Cardiology department, Tours, France
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He Z, Yu Y, Ren W, Mao L, Tan Y, Wang J, Hu Q, Ouyang Y, Xie C, Yao H. 130P Deep learning magnetic resonance imaging radiomics for predicting disease-free survival in patients with early-stage invasive breast cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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29
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Yu Y, Wang J, Tan Y, Wan H, Zheng N, He Z, Mao L, Ren W, Lin Z, He G, Chen Y, Wang J, Ouyang N, Yao H. 1136P A clinically applicable cervical cancer artificial intelligence screening system for accurate cytopathological diagnosis: A multicenter population-based study and randomized controlled trial. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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30
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Ren W, Yu Y, He Z, Mao L, Chen Y, Ouyang W, Tan Y, Li C, Chen K, Ouyang J, Hu Q, Xie C, Yao H. 133P Magnetic resonance imaging radiomics predicts high and low recurrence risk and is associated with LncRNAs in early-stage invasive breast cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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31
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Cherif I, Tsevi Y, Bawe L, Guei C, Yao H. [Efficacy of highly active antiretroviral therapy alone in the treatment of diffuse lymphocytic infiltration syndrome in an ivorian patient living with HIV: a case report]. Med Trop Sante Int 2021; 1:mtsibulletin.2021.118. [PMID: 35686173 PMCID: PMC9128493 DOI: 10.48327/mtsibulletin.2021.118] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 07/09/2021] [Indexed: 11/05/2022]
Abstract
Objective We report in this work the efficacy of highly active antiretrovirals (ARVs) alone in the treatment of diffuse infiltrative lymphocytosis syndrome (DILS) without the use of corticosteroids, which appears risky in patients living with HIV. Observation This is a 60-year-old HIV-positive patient, discovered during the etiological workup of renal failure, which revealed a non-nephrotic glomerular profile. The renal biopsy found an interstitial infiltrate of CD8 suggestive of DILS. Management consisted in starting ARV treatment alone (lamuvidine, abacavir and raltegravir) without associated corticosteroid therapy. The clinical evolution under treatment was marked by a recovery of the renal function with a creatininemia at 99 μmol/l, a regression of the proteinuria, a CD4 rate at 293/mm3 and an HIV viral load at 533.3 copies or 1.6 log in the space of 3 months. Conclusion DILS is a diffuse systemic disease in HIV patients who are usually under poor virological control. In view of the strong immunosuppression and the absence of other infiltrative diseases, it appeared to us to be risky and unjustified to add a corticosteroid therapy.
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Affiliation(s)
- I. Cherif
- Université de Cocody, Centre hospitalier universitaire de Yopougon, Abidjan, Cote d'Ivoire
| | - Y.M. Tsevi
- Université de Lomé, Centre hospitalier universitaire Sylvanus Olympio, Lomé, Togo,*
| | - L.D. Bawe
- Université de Lomé, Centre hospitalier universitaire Sylvanus Olympio, Lomé, Togo
| | - C. Guei
- Université de Cocody, Centre hospitalier universitaire de Yopougon, Abidjan, Cote d'Ivoire
| | - H. Yao
- Université de Cocody, Centre hospitalier universitaire de Treichville, Abidjan, Cote d'Ivoire
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Liu C, Wang M, Yao H, Cui M, Gong X, Zhang H, Sui C. P–129 Follicular extracellular vesicles of women with polycystic ovarian syndrome inhibit oocyte maturation. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.128] [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] Open
Abstract
Abstract
Study question
Does follicular extracellular vesicles of women with polycystic ovarian syndrome (PCOS-EVs) interfere with the quality of oocytes?
Summary answer
PCOS-EVs induced oxidative stress in the oocytes and inhibited oocyte maturation by increasing the abnormal mitochondria distribution and abnormal spindle rates.
What is known already
Polycystic ovarian syndrome (PCOS) is a common endocrine disorder in women of reproductive age, with a prevalence up to 10%. Women with PCOS are characterized by a clustering of features, including hyperandrogenism, polycystic ovarian morphology, and notably, anovulation. Although international guidelines recommend assisted reproduction techniques to be an effective resort for PCOS patients to conceive. However, even after overcoming ovulatory dysfunction via ovulation induction, the pregnancy outcomes of patients with PCOS were far from satisfying with lower fertilization, cleavage, and implantation rates, implicating that theoocyte quality of these patients are affected. Whereas the mechanisms have not been elucidated yet.
Study design, size, duration
Follicular fluid of PCOS patients (n = 10) and healthy controls (n = 10) were collected and used for extracellular vesicles (EVs) isolation via ultracentrifugation. Germinal vesicle (GV) oocytes collected from female ICR mice were cocultured with RIF-EVs or FER-EVs, respectively, and PBS served as a blank control. GV breakdown (GVBD) rate and maturation rate were calculated at two-hour and fourteen-hour of co-culture, respectively. Besides, oocyte mitochondria distribution, meiosis spindle morphology, and oxidative status were assessed in different groups.
Participants/materials, setting, methods
EVs were determined by western blotting, nanoparticle tracking analysis, and transmission electron microscopy. Fluorescence labeled EVs were used to visualize internalization by oocytes. Oocytes mitochondria and mitosis spindles were stained with fluorescence, and abnormal mitochondria rate or abnormal spindle rate was calculated. Reactive oxygen species (ROS) level was detected in the differently treated oocytes. Moreover, the expression of CAT, GSS, and SOD was determined in the oocytes using quantitative reverse transcription polymerase chain reaction.
Main results and the role of chance
Both PCOS-EVs and CTRL-EVs are bilayered vesicles, ranging from 100 to 150 nm, and enriched in Alix, TSG101, and CD9. EVs could be internalized by oocytes within one hour. After coculture, the GVBD rate was similar among the three groups; whereas the maturation rate was significantly decreased in the PCOS-EV group compared with CTRL-EV group or PBS group. In addition, the abnormal mitochondria distribution rate or abnormal spindle rate were significantly increased in the PCOS-EV group compared with PBS or CTRL-EV group. The ROS level was increased in the PCOS-EV group compared with CTRL-EV group, and the expression of CAT, GSS, and SOD was increased in the PCOS-EV-treated oocytes.
Limitations, reasons for caution
Our study did not identify the contents of PCOS-EVs and CTRL-EVs, and the molecular mechanisms of dysregulations induced by PCOS-EVs need further researches to investigate.
Wider implications of the findings: This work confirmed that EV-conducted cellular communication played an important role in oocyte development in women with PCOS. The dysregulation of oocytes induced by PCOS-EVs might be related to the poor oocyte quality of women with PCOS, which may provide a novel target to improve pregnancy outcomes of these patients.
Trial registration number
Not applicable
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Affiliation(s)
- C Liu
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
| | - M Wang
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
| | - H Yao
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
| | - M Cui
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
| | - X Gong
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
| | - H Zhang
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
| | - C Sui
- Tongji Hospital- Tongji Medical College- Huazhong University of Science and Technology, Reproductive Medicine Center, Wuhan, China
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Ge M, Zong M, Xu D, Chen Z, Yang J, Yao H, Wei C, Chen Y, Lin H, Shi J. Freestanding germanene nanosheets for rapid degradation and photothermal conversion. Materials Today Nano 2021; 15:100119. [DOI: doi.org/10.1016/j.mtnano.2021.100119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
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Wang P, Zhou B, Yao H, Xie S, Feng F, Zhang Z, Guo Y, An N, Zhou Y, Zhang X, Liu Y. Aberrant Hippocampal Functional Connectivity Is Associated with Fornix White Matter Integrity in Alzheimer's Disease and Mild Cognitive Impairment. J Alzheimers Dis 2021; 75:1153-1168. [PMID: 32390630 DOI: 10.3233/jad-200066] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common cause of dementia in older individuals, and amnestic mild cognitive impairment (aMCI) is currently considered the prodromal stage of AD. The hippocampus and fornix interact functionally and structurally, with the fornix being the major efferent white matter tract from the hippocampus. OBJECTIVE The main aim of this study was to examine the impairments present in subjects with AD or aMCI and the relationship of these impairments with the microstructure of the fornix and the functional connectivity (FC) and gray matter volume of the hippocampus. METHODS Forty-four AD, 34 aMCI, and 41 age- and gender-matched normal controls (NCs) underwent neuropsychological assessments and multimode MRI. We chose the bilateral hippocampi as the region of interest in which gray matter alterations and FC with the whole brain were assessed and the fornix body as the region of interest in which the microstructural integrity of the white matter was observed. We also evaluated the relationship among gray matter alterations, the abnormal FC of the hippocampus and the integrity of the fornix in AD/aMCIResults:Compared to the NC group, the AD and aMCI groups demonstrated decreased gray matter volume, reduced FC between the bilateral hippocampi and several brain regions in the default mode network and control network, and damaged integrity of the fornix body (decreased fractional anisotropy and increased diffusivity). We also found that left hippocampal FC with some regions, the integrity of the fornix body, and cognition ability were significantly correlated. Therefore, our findings suggest that damage to white matter integrity may partially explain the reduced resting-state FC of the hippocampus in AD and aMCI. CONCLUSION AD and aMCI are diseases of disconnectivity including not only functional but also structural disconnectivity. Damage to white matter integrity may partially explain the reduced resting-state FC in AD and aMCI. These findings have significant implications for diagnostics and modeling and provide insights for understanding the disconnection syndrome in AD.
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Affiliation(s)
- Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Nankai University, Tianjin, China.,Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Bo Zhou
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Hongxiang Yao
- Department of Radiology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Sangma Xie
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China
| | - Feng Feng
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Zengqiang Zhang
- Hainan Hospital of Chinese PLA General Hospital, Sanya, China
| | - Yan'e Guo
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ningyu An
- Department of Radiology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital, Nankai University, Tianjin, China
| | - Xi Zhang
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yong Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
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Sun W, Li T, Yao H, Kang L, Dong F. Effects of concentrated growth factor and nanofat on aging skin of nude mice induced by D-galactose. Physiol Res 2021; 70:425-435. [PMID: 33982585 DOI: 10.33549/physiolres.934640] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
This investigation studied the effect of concentrated growth factor and nanofat on aging skin of nude mice induced by D-galactose. BALB/c mice were randomly divided into five groups: 5 mice in the control group were fed normally without any intervention, 9 mice were treated with concentrated growth factor (CGF), 9 mice were treated with nanofat (NF), 9 mice were treated with CGF+NF, and 9 mice in the model group (no treatment after subcutaneous injection of D-galactose). Relevant indicators are measured and recorded. In skin and serum, SOD and GSH content in the model group were significantly lower than those in other groups (P<0.05), and the MDA of the three treatment groups was significantly lower than that of the model group (P<0.05). Compared with the control group, the contents of total collagen, type I collagen and type III collagen in the NF group and model group were decreased in different degrees (P<0.05); the contents of elastin and elastic fiber in the skin of nude mice in the model group and NF group were significantly decreased. Compared with the model group, he number of CD31 and VEGF in the treatment group was significantly increased (P<0.01); the skin AGE content of three treatment groups was significantly lower (P<0.05). These findings suggest that concentrated growth factor and nanofat may have a significant effect on delaying aging skin induced by D-galactose in nude mice.
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Affiliation(s)
- W Sun
- Department of Oral and Maxillofacial Surgery, Stomatology Hospital of Hebei Medical University, Shijiazhuang, Hebei, China, Hebei Key Laboratory of Oral Medicine, Shijiazhuang, Hebei, China, Chang'an District, Shijiazhuang, Hebei, China.
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Yao H, Lu W, Niu G, Zhang Q, Jiang Q, Liu H, Ni T. Characterizing the air pollution of the cities in the closure of corona virus disease 2019 in China. Int J Environ Sci Technol (Tehran) 2021; 18:2053-2062. [PMID: 33868434 PMCID: PMC8042843 DOI: 10.1007/s13762-021-03311-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 02/08/2021] [Accepted: 04/06/2021] [Indexed: 06/12/2023]
Abstract
With the rapid development of industrialization and urbanization in China, energy and vehicle consumption have continued to increase in recent years and air pollution has become serious. In early 2020, Corona Virus Disease 2019 broke out in Wuhan, China. From January 29, 2020, several sources of the air pollution almost all stopped working, including gasoline burning vehicles, dust producing building sites, coal-fired factories, etc. Five indicators of the atmospheric environmental quality were observed from December 19, 2019 to April 30, 2020 in nine cities and 1-h average concentrations, 24-h average concentrations and Air Quality Index were assessed. The 1-h average concentrations of the nitrogen dioxide, the ozone and the sulfur dioxide showed obvious difference though the closure did not change the sequence of the five pollutants' concentrations in the air at diverse sampling moments. The changing of the 24-h average concentrations of the five pollutants indicated the amount of pollutants in the air were greatly affected by human activities. The nitrogen dioxide, the sulfur dioxide and the particulate matters decreased obviously in the closure. The air in the metropolis and the south-east cities were relatively clean and the pollutants' concentrations decreased slightly during the closure period. The northern and the heavy industrial cities showed significant drop on air pollution indicators and the air quality of the two city groups could be greatly improved if some effective measures could be taken of environmental management and regional development.
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Affiliation(s)
- H. Yao
- School of Geography, Nantong University, Nantong, 226019 China
- Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019 China
| | - W. Lu
- School of Geography, Nantong University, Nantong, 226019 China
- Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019 China
| | - G. Niu
- School of Geography, Nantong University, Nantong, 226019 China
- Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019 China
| | - Q. Zhang
- School of Geography, Nantong University, Nantong, 226019 China
- Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019 China
| | - Q. Jiang
- School of Geography, Nantong University, Nantong, 226019 China
- Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019 China
| | - H. Liu
- School of Geography, Nantong University, Nantong, 226019 China
- Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019 China
| | - T. Ni
- School of Geographic and Oceanographic Science, Nanjing University, Nanjing, 210023 China
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Qu Y, Wang P, Liu B, Song C, Wang D, Yang H, Zhang Z, Chen P, Kang X, Du K, Yao H, Zhou B, Han T, Zuo N, Han Y, Lu J, Yu C, Zhang X, Jiang T, Zhou Y, Liu Y. AI4AD: Artificial intelligence analysis for Alzheimer's disease classification based on a multisite DTI database. Brain Disorders 2021. [DOI: 10.1016/j.dscb.2021.100005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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Xu C, Zhu LX, Sun DM, Yao H, Han DX. Regulatory mechanism of lncRNA NORAD on proliferation and invasion of ovarian cancer cells through miR-199a-3p. Eur Rev Med Pharmacol Sci 2021; 24:1672-1681. [PMID: 32141533 DOI: 10.26355/eurrev_202002_20341] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To explore the regulatory mechanism of lncRNA NORAD on proliferation and invasion of ovarian cancer cells through miR-199a-3p. PATIENTS AND METHODS Eighty-six ovarian cancer tissues and 86 tissues adjacent to cancer, human ovarian cancer cell lines SKOV3, HO-8910, A2780, OVCAR-3, and human normal ovarian epithelial cell line IOSE80 were collected. MiR-199a-3p-mimics, miR-199a-3p-inhibitor, miR-NC, si-NORAD, Sh-NORAD, and NC were transfected into HO-8910 and A2780 cells, the expression levels of lncRNA NORAD and miR-199a-3p in ovarian cancer tissues and cells were detected by qRT-PCR, and the expression levels of N-cadherin, E-cadherin, and vimentin in cells were detected by WB. Cell Counting Kit-8 (CCK-8), transwell, and cell scratch tests were used to detect proliferation, invasion, and migration of cells, and the relationship between lncRNA NORAD and miR-199a-3p was confirmed by the Dual-Luciferase reporter assay. RESULTS LncRNA NORAD was highly expressed and miR-199a-3p was lowly expressed in ovarian cancer, and the expression levels of LNCRNARAD and miR-199a-3p were negatively correlated. Cell experiments showed that inhibiting the expression of lncRNA NORAD or up-regulating the expression of miR-199a-3p could inhibit the proliferation, invasion, migration, and EMT of ovarian cancer cells, while up-regulating the expression of lncRNA NORAD or inhibiting the expression of miR-199a-3p could promote their proliferation, invasion, migration, and EMT. Dual-Luciferase reporter assay confirmed that there was a regulatory relationship between lncRNA NORAD and miR-199a-3p. CONCLUSIONS LncRNA NORAD was highly expressed in ovarian cancer tissues, while silencing lncRNA NORAD expression could inhibit the proliferation, invasion, migration, and EMT of ovarian cancer cells by regulating miR-199a-3p, which might be a new target for the diagnosis and treatment of ovarian cancer.
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Affiliation(s)
- C Xu
- Department of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, P.R., China
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Zhu W, Feng YM, Chen T, Yao H, Quan Y, Rao J, Gao L, Zhang C, Liu Y, Gao L, Kong PY, Zhang X. [The clinical observation of sirolimus combined with calcineurin inhibitors for steroid-resistant/steroid-dependent extensive cGVHD]. Zhonghua Xue Ye Xue Za Zhi 2021; 41:716-722. [PMID: 33113602 PMCID: PMC7595869 DOI: 10.3760/cma.j.issn.0253-2727.2020.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To observe the efficacy and safety of sirolimus combined with calcineurin inhibitor (CNI) in the treatment of glucocorticoid resistant/dependent extensive chronic graft-versus-host disease (cGVHD) . Methods: A total of 27 patients with steroid-resistant/steroid-dependent extensive cGVHD from November 2015 to January 2019 were enrolled and given sirolimus capsules combined with cyclosporine or tacrolimus to observe the clinical efficacy and adverse events. Results: The median duration of medication was 14.2 months and the mean duration was 16.7 months. The median follow-up time was 20.1 months (12.9-46.1 months) . Following the 6-month follow-up, 3 cases achieved complete response (CR) and 12 cases partial response (PR) . The overall response rate (ORR) was 55.6% ; for progression-free survival (PFS) , PFS-6 reached 88.9% (24/27) , and for overall survival (OS) , OS-6 was 100% . At the 1-year follow-up, there were 5 cases of CR and 11 cases of PR, ORR was 59.3% , PFS-12 reached 62.9% (17/27) , and OS-12 was 100% . The subgroup analysis found that the program was more effective for cGVHD in male donors and the target organ analysis had an advantage in the treatment of oral cavity, skin, and liver rejection. Adverse events were observed: hyperlipidemia 11.1% , oral ulcer 7.4% , fungal infection 11.1% , liver injury 3.7% , renal insufficiency 0, and no new CMV and EB viremia. Conclusion: Sirolimus combined with calcineurin inhibitors is effective in treating steroid-resistant/steroid-dependent extensive cGVHD, especially because adverse reactions (renal toxicity, CMV, EBV infection) are low in number, which is suitable for long-term treatment of cGVHD.
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Affiliation(s)
- W Zhu
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - Y M Feng
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - T Chen
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - H Yao
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - Y Quan
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - J Rao
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - L Gao
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - C Zhang
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - Y Liu
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - L Gao
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - P Y Kong
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
| | - X Zhang
- Medical Center of Hematology, Xinqiao Hospital of Army Medical University, State Key Laboratory of Trauma, Burns and Combined Injury, PLA Blood Disease Center, Chongqing Key Discipline of Medicine, Chongqing 400037, China
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Ye S, Yao H, Houlihan K, Kalubowilage S, Teo A, Lucarelli N, Koshy A, Teh A, Buntine P, Hamer A, Cooke J, Roberts L, Sajeev J. Outcomes and Trends: Recurrent Syncope Presentations to the Emergency Department. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Ye S, Yao H, Kalubowilage S, Houlihan K, Teo A, Lucarelli N, Koshy A, Teh A, Buntine P, Hamer A, Cooke J, Roberts L, Sajeev J. Investigational Burden in Undifferentiated Syncope Presentations. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Liu L, Gao Q, Jiang J, Zhang J, Song X, Cui J, Ye Y, Wang Z, Yao H, Zhang X, Hao X, Xiubao R. 24MO Randomized, multicenter, open-label trial of autologous cytokine-induced killer cell immunotherapy plus chemotherapy for squamous non-small cell lung cancer. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.510] [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: 10/22/2022] Open
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Zhang W, Li A, Chen Y, Ou Q, Ren W, He Z, Yu Y, Yao H. 19P Tumour microenvironment and radiomics landscape associated with survival and prediction of immunotherapy in patients with cancer. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.504] [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: 11/27/2022] Open
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Ren W, Yu Y, Tan Y, Chen Y, Liu J, He Z, Li A, Ma J, Lu N, Li C, Li X, Ou Q, Chen K, Hu Q, Ouyang J, Su F, Xie C, Song E, Yao H. 4MO Machine learning intratumoral and peritumoral magnetic resonance imaging radiomics for predicting disease-free survival in patients with early-stage breast cancer (RBC-01 Study). Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Yao H, Farnier M, Salignon-Vernay C, Chague F, Brunel P, Maza M, Brunet D, Bichat F, Beer J, Cottin Y, Zeller M. Coronary lesion complexity in patients with familial hypercholesterolemia hospitalized for an acute myocardial infarction: data from the French RICO Survey. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.1495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Although patients with familial heterozygous hypercholesterolemia (FH) are at high risk of early myocardial infarction (MI), coronary artery disease (CAD) burden of FH patients with acute MI remains to be investigated.
Methods
All consecutive patients hospitalized for an acute MI in a multicenter database (RICO) from 2012–2017 who underwent coronary angiography were considered. FH (n=86) was diagnosed using Dutch Lipid Clinic Network criteria (score ≥6). The angiographic features of FH patients were compared with patients without FH (score 0–2) (n=166), after matching for age, sex and diabetes (1:2).
Results
When compared with patients without FH, patients with FH had higher prevalence of personal and familial history of CAD (17 vs 5%, and 74 vs 5%, p=0.002 and p<0.001, respectively), and hypertension (54 vs 36%, p=0.006). Chronic statin treatment was used in only 45% of FH patients. At coronary angiography, FH had increased extent of CAD (SYNTAX score 11 (4–21) vs 8 (3–16), p=0.049) and multivessel disease (58% vs 43%, p=0.021). Significant stenosis was more frequent in left and right marginal coronary arteries. FH patients showed a trend toward more complex lesions, with less thrombus (28 vs 39%, p=0.076), but a 2 times higher rate of bifurcation lesions and calcifications (23 vs 12% and 20 vs 10%, p=0.021 and p=0.036).
Conclusions
This study addressing the coronary lesions features of FH patients with acute MI shows that FH patients had more severe CAD burden, and were characterized by complex anatomy features.
Funding Acknowledgement
Type of funding source: Public Institution(s). Main funding source(s): ARS Bourgogne Franche Comté, CHU Dijon Bourgogne
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Affiliation(s)
- H Yao
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - M Farnier
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - C Salignon-Vernay
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - F Chague
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - P Brunel
- Dijon Bourgogne Private Hospital, Cardiology Department, Dijon, France
| | - M Maza
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - D Brunet
- Dijon Bourgogne Private Hospital, Cardiology Department, Dijon, France
| | - F Bichat
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - J.C Beer
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - Y Cottin
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - M Zeller
- University Bourgogne Franche Comte, Dijon, France
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Farnier M, Yao H, Hounton N, Maza M, Chague F, Bichat F, Beer J, Lagrost L, Masson D, Cottin Y, Zeller M. High levels of lipoprotein(a) are associated with the severity of coronary disease in patients with acute myocardial infarction. Data from the RICO survey. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.1611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
High level of Lipoprotein(a), Lp(a), is a well-recognised independent risk factor for atherosclerotic cardiovascular disease (ASCVD). However, limited data are available on the prevalence of high Lp(a) levels and on the threshold associated to coronary artery disease (CAD) burden in patients with acute myocardial infarction (MI).
Methods
We aim at assessing CAD burden in 651 consecutive patients hospitalized for an acute MI from January 2019 to September 2019 who underwent coronary angiography. Patients characteristics and angiographic features were compared for patients with Lp(a) <50 mg/dL (normal), ≥50 mg/dL (high) and >80 mg/dL (i.e >90th percentile) (very high).
Results
The prevalence of Lp(a) ≥50 mg/dL was elevated (19.0%) and 65 patients (10.0%) were in the >90th percentile. Median (IQR) age was similar across the 3 groups (normal: 68 (59–79)y; high: 74 (63–80)y; very high: 71 (57–82)y, p=0.239). When compared with patients with normal Lp(a), patients with very high levels (≥80 mg/dL) had higher prevalence of personal history of ASCVD (29 vs 16%, p=0.021) and family history of CAD (37 vs 19%, p=0.005), and were more frequently women (43 vs 29%, p=0.009). At coronary angiography, patients with very high Lp(a) levels had increased extent of CAD (Median SYNTAX score 17 (5–25) vs 10 (5–17), p=0.002) and more frequent multivessel disease (69 vs 54%, p=0.02).
Conclusion
Among real world patients hospitalized for an acute MI, Lp(a) levels >80 mg/dL are associated with an increased CAD burden and this threshold identifies a subset of patients with features of high ASCVD risk.
Funding Acknowledgement
Type of funding source: Public Institution(s). Main funding source(s): ARS Bourgogne Franche Comté; CHU Dijon Bourgogne
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Affiliation(s)
- M Farnier
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - H Yao
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - N Hounton
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - M Maza
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - F Chague
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - F Bichat
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - J.C Beer
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - L Lagrost
- University of Bourgogne Franche-Comté, Lipides Nutrition Cancer UMR 1231, & LipSTIC LabEx, Dijon, France
| | - D Masson
- University of Bourgogne Franche-Comté, Lipides Nutrition Cancer UMR 1231, & LipSTIC LabEx, Dijon, France
| | - Y Cottin
- University Hospital Center Dijon Bourgogne, Cardiology Department, Dijon, France
| | - M Zeller
- University of Bourgogne Franche Comte, PEC2, EA 7460, Dijon, France
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Liu L, Gao Q, Jiang J, Zhang J, Song X, Cui J, Ye Y, Wang Z, Yao H, Zhang X, Hao X, Xiubao R. 376O Randomized, multicenter trial of autologous cytokine-induced killer cell immunotherapy plus chemotherapy for squamous non-small cell lung cancer: NCT01631357. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.370] [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: 10/22/2022] Open
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Abstract
Abstract
Flying animals can inspire practical approaches to a more advanced way of flying. Dragonflies demonstrate a special flapping pattern in which their wings perform torsional movement while flapping, which is different from that of birds. This flapping pattern is referred to as nonsynchronous flapping in this article. We present a hypothesis that nonsynchronous flapping provides a driving force for enhancing the haemolymph circulation inside dragonfly wings. To support this hypothesis, a controlled experiment was designed and conducted with living dragonflies. By observing the liquid motion inside the vein within free flapping wings and restricted wings of living dragonflies, this hypothesis was supported. A mathematical model of the flapping wing was built and numerically studied to further support the function of the nonsynchronous flapping pattern in driving the circulation. With these studies, a theoretical explanation for the mechanism of enhancing the haemolymph circulation by nonsynchronous flapping was provided.
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Affiliation(s)
- Yunjie Wang
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Yajun Yin
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Gangtie Zheng
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Hongxiang Yao
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
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Lee S, Zhao L, Rojas C, Bateman N, Yao H, Lara O, Jazaeri A, Liu J, Burks J, Fleming N, Lu K, Westin S, Coleman R, Mills G, Zhang J, Conrads T, Maxwell G, Futreal P, Sood A. A high-depth multi-omics analysis of clinically defined subsets of high-grade serous ovarian cancer. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.06.163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Niamkey JT, Yao H, Matanga J, Ekou A, Kouamé I, N'Guetta R. [Assessment of peripheral artery disease in proven coronary patients in Abidjan Heart Institute of Côte d'Ivoire]. Ann Cardiol Angeiol (Paris) 2020; 70:13-17. [PMID: 32950211 DOI: 10.1016/j.ancard.2020.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 07/21/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Coronary artery disease is mainly due to atherosclerosis. The aim of this study was to evaluate the frequency of peripheral arterial disease in proven coronary artery disease and to determine the associated factors in our context. MATERIAL AND METHODS We included in a cross-sectional descriptive and analytical study 224 patients with proven coronary artery disease confirmed on coronary angiography from March 1 to October 30, 2019. It took place in the external exploration department of the Abidjan Heart Institute. An ultrasonographic exploration of the supra-aortic trunks and arteries of the lower extremity with measurement of the ankle brachial index (ABI) was carried out. RESULTS The mean age was 57.4±10.9 years (27-81years). There was a clear male predominance with a sex-ratio of 5. The prevalence of carotid artery disease was 56.4% of patients. The main factors associated with elevated Intima Media Thickness (IMT) and the presence of carotid plaques were male sex (OR=8.8; P=0.038), smoking (OR=2.5; P=0.049) and multi-truncular involvement (OR=3.2; P=0.014). In the lower extremities, there was a prevalence of peripheral arterial disease of 48.5%. The main factors associated with the decrease of ABI were age ≥50 years (OR=2.6; P=0.043), diabetes (OR=2.8; P=0.02), dyslipidemia (OR=3.8; P=0.001) and pluri-truncular involvement (OR=4.5; P<0.0001). CONCLUSION The presence of significant coronary artery disease in our context is associated with a high prevalence of peripheral carotid artery and lower extremity artery disease. This is all the more so as we are male, over 50 years old, pluri-truncular with many cardiovascular risk factors.
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Affiliation(s)
- J T Niamkey
- Service des explorations externes de l'Institut de cardiologie d'Abidjan, BPV 206 Abidjan, Côte d'Ivoire.
| | - H Yao
- Service des soins intensifs et de cardiologie interventionnelle de l'Institut de cardiologie d'Abidjan, BPV 206 Abidjan, Côte d'Ivoire
| | - J Matanga
- Service des explorations externes de l'Institut de cardiologie d'Abidjan, BPV 206 Abidjan, Côte d'Ivoire
| | - A Ekou
- Service des soins intensifs et de cardiologie interventionnelle de l'Institut de cardiologie d'Abidjan, BPV 206 Abidjan, Côte d'Ivoire
| | - I Kouamé
- Service des soins intensifs et de cardiologie interventionnelle de l'Institut de cardiologie d'Abidjan, BPV 206 Abidjan, Côte d'Ivoire
| | - R N'Guetta
- Service des soins intensifs et de cardiologie interventionnelle de l'Institut de cardiologie d'Abidjan, BPV 206 Abidjan, Côte d'Ivoire
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