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Zhang J, Ma F, Li Z, Li Y, Sun X, Song M, Yang F, Wu E, Wei X, Wang Z, Yang L. NFKB2 mediates colorectal cancer cell immune escape and metastasis in a STAT2/PD‐L1‐dependent manner. MedComm (Beijing) 2024; 5:e521. [PMID: 38660687 PMCID: PMC11042535 DOI: 10.1002/mco2.521] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 02/06/2024] [Accepted: 02/28/2024] [Indexed: 04/26/2024] Open
Abstract
This study systematically analyzed the molecular mechanism and function of nuclear factor kappa B subunit 2 (NFKB2) in colorectal cancer (CRC) to investigate the potential of NFKB2 as a therapeutic target for CRC. Various experimental techniques, including RNA sequencing, proteome chip assays, and small molecule analysis, were used to obtain a deeper understanding of the regulation of NFKB2 in CRC. The results revealed that NFKB2 was upregulated in a significant proportion of patients with advanced hepatic metastasis of CRC. NFKB2 played an important role in promoting tumor growth through CD8+ T-cell exhaustion. Moreover, NFKB2 directly interacted with signal transducer and activator of transcription 2 (STAT2), leading to increased phosphorylation of STAT2 and the upregulation of programmed death ligand 1 (PD-L1). Applying a small molecule inhibitor of NFKB2 (Rg5) led to a reduction in PD-L1 expression and improved response to programmed death-1 blockade-based immunotherapy. In conclusion, the facilitated NFKB2-STAT2/PD-L1 axis may suppress immune surveillance in CRC and targeting NFKB2 may enhance the efficacy of immunotherapeutic strategies. Our results provide novel insights into the molecular mechanisms underlying the contribution of NFKB2 in CRC immune escape.
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Affiliation(s)
- Jiwei Zhang
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Fen Ma
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Zhe Li
- Academy of Integrative MedicineShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Yuan Li
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Xun Sun
- Gastrointestinal SurgeryLonghua HospitalShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Mingxu Song
- Human Reproductive and Genetic CenterAffiliated Hospital of Jiangnan UniversityJiangsuChina
| | - Fan Yang
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Enjiang Wu
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Xiaohui Wei
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Zhengtao Wang
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
| | - Li Yang
- Shanghai Key Laboratory of Compound Chinese MedicinesThe MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghaiChina
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Curtin C, Bandini LG, Forquer M, Cullen P, Rancaño KM, Must A, Schreck K, Bowling AB, Askenazy N, Wei X, Irish C, Stanish HI. A remotely-delivered pilot and feasibility program to promote physical and food literacy in adolescents with intellectual disabilities. J Appl Res Intellect Disabil 2024; 37:e13228. [PMID: 38520166 DOI: 10.1111/jar.13228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 02/01/2024] [Accepted: 03/04/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Youth with intellectual disabilities experience disparities in physical activity and diet quality. Physical and food literacy are hypothesised to support adoption of healthy lifestyles; however, few such interventions have been developed for this population. METHOD Participants with intellectual disabilities ages 12-16 years were recruited for a 12-week online sports skills and nutrition education intervention. Feasibility, acceptability, and preliminary efficacy were assessed by attendance, satisfaction, and pre-post measures of motor skills, perceived competence and motivation for physical activity, classifying foods, making healthy choices, and food consumption. RESULTS Six teens participated in the program and attended 87.5% of the sessions. Satisfaction data suggested that the program was well-received by both teens and parents. Trends toward improvements on physical activity and nutrition outcome measures were observed. CONCLUSIONS Preliminary data from this pilot study suggest that physical and food literacy in youth with intellectual disabilities can be improved, which in turn may contribute to the adoption of healthy lifestyles.
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Affiliation(s)
- C Curtin
- E.K. Shriver Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - L G Bandini
- E.K. Shriver Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - M Forquer
- George Washington University, Washington, DC, USA
| | - P Cullen
- E.K. Shriver Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - K M Rancaño
- Tufts University School of Medicine, Boston, Massachusetts, USA
| | - A Must
- Tufts University School of Medicine, Boston, Massachusetts, USA
| | - K Schreck
- Boston University, Boston, Massachusetts, USA
| | - A B Bowling
- Merrimack College, North Andover, Massachusetts, USA
| | - N Askenazy
- Boston University, Boston, Massachusetts, USA
| | - X Wei
- Boston University, Boston, Massachusetts, USA
| | - C Irish
- Brighton, Massachusetts, USA
| | - H I Stanish
- University of Massachusetts Boston, Boston, Massachusetts, USA
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Zhou PJ, Wang LS, Liu WL, Yang XG, Liu JJ, Wei X, Leng Y. [A study on the dual use of e-cigarettes and cigarettes among adolescents in Shandong Province]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:548-552. [PMID: 38678351 DOI: 10.3760/cma.j.cn112338-20230531-00342] [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: 04/29/2024]
Abstract
Objective: To understand the current status and its associated factors of dual use of e-cigarettes and cigarettes among adolescents in Shandong Province and explore the reasons for dual use behavior. Methods: A self-administered survey was conducted among 7 999 middle school students who were selected by stratified multi-stage cluster sample method. Data were weighted and analyzed by the SPSS 25.0 complex program. Results: In Shandong Province, the prevalence rates of attempting and current dual use of e-cigarettes and cigarettes among adolescents appeared as 7.7% and 1.3%, respectively. Male, friends smoking, and secondhand smoke exposure in the past 7 days were risk factors for dual use. Compared with cigarette smokers, dual users have no differences in cognition and behavior in quitting smoking (P>0.05). The main reason for dual users to smoke e-cigarettes was curiosity. Conclusions: Dual use of e-cigarettes and cigarettes is common among adolescents in Shandong Province, and its influencing factors are similar to traditional cigarettes. Dual use is not a transitional stage for smoking cessation. Dual users are more likely to continue smoking in the future, which should be paid attention and concern.
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Affiliation(s)
- P J Zhou
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - L S Wang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - W L Liu
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - X G Yang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - J J Liu
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - X Wei
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Y Leng
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
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Hu Z, Tian Z, Wei X, Chen Y. Letter to the Editor: radiomics-based distinction of small (≤ 2 cm) hepatocellular carcinoma and precancerous lesions based on unenhanced magnetic imaging resonance. Clin Radiol 2024:S0009-9260(24)00148-X. [PMID: 38631932 DOI: 10.1016/j.crad.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/19/2024]
Affiliation(s)
- Z Hu
- Jining Medical University, 133 Hehua Rd, Jining, 272067, China
| | - Z Tian
- Jining Medical University, 133 Hehua Rd, Jining, 272067, China
| | - X Wei
- Jining Medical University, 133 Hehua Rd, Jining, 272067, China
| | - Y Chen
- Affiliated Hospital of Jining Medical University, 89 Guhuai Rd, Jining, 272007, China.
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Wei X, Liu P, Bai D, Zhang L, Mao H, Zhang W, Chen T, Yin D, Sun T, Zhang Y, Zhang W. Industrializable and pH-tolerant electropositive imidazolium chloride polymer for high-efficiency removal of perfluoroalkyl carboxylic acids from aqueous solution. J Hazard Mater 2024; 465:133095. [PMID: 38056270 DOI: 10.1016/j.jhazmat.2023.133095] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/23/2023] [Accepted: 11/23/2023] [Indexed: 12/08/2023]
Abstract
In recent years, various materials have been used to adsorb and remove perfluoroalkyl compounds from water. However, most of these materials have limited applications due to their high cost, complex synthesis, inadequate selectivity and sensitivity, and, even worse, the possibility of introducing secondary pollution. Here, under mild conditions, we prepared an inexpensive imidazolium chloride and nitrogen-rich polymer (TAGX-Cl) with a high cationic loading rate and a high yield (>82%). The adsorbent exhibits excellent pH tolerance (pH=1-9) and achieves nearly 99.9% removal of nine perfluoroalkyl carboxylic acids (PFCAs) within 120 min. Experimental data and theoretical simulations confirmed that synergistic electrostatic interactions, hydrogen bonds, and P-π interactions control the adsorptive ability of TAGX-Cl. This work provides a practical strategy for PFCAs removal.
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Affiliation(s)
- Xiaohui Wei
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China
| | - Pingping Liu
- Zhengzhou Tobacco Research Institute of CNTC, Fengyang Road, Zhengzhou, Henan 450001, PR China
| | - Danyang Bai
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China
| | - Luyuan Zhang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, PR China
| | - Hongyan Mao
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China
| | - Wenjing Zhang
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China
| | - Tianqi Chen
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China
| | - Dan Yin
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, PR China
| | - Tianhua Sun
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China
| | - Yanhao Zhang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, PR China.
| | - Wenfen Zhang
- College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China; Zhengzhou Tobacco Research Institute of CNTC, Fengyang Road, Zhengzhou, Henan 450001, PR China; Food Laboratory of Zhongyuan, Flavour Science Research Center of Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China.
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Zhang D, Yang F, Wang Y, Mu JL, Wei XQ, Wei X. [Ultrasonographic features of thyroid carcinoma of different sizes: comparison between medullary thyroid carcinomas and papillary thyroid carcinomas]. Zhonghua Zhong Liu Za Zhi 2024; 46:133-139. [PMID: 38418187 DOI: 10.3760/cma.j.cn112152-20231026-00264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/01/2024]
Abstract
Objective: To investigate the ultrasonographic features of medullary thyroid carcinomas (MTCs) of different sizes and supply valid information for separating MTCs from papillary thyroid carcinomas (PTCs). Methods: There were 87 patients with MTC and 220 patients with PTC detected by ultrasonography and confirmed by pathology at Tianjin Medical University Cancer Institute and Hospital from June 2018 to March 2022. Nodules were divided into the large nodule group (the maximum diameter of the tumor was>1 cm) and the small nodule group (the maximum diameter of the tumor was ≤1 cm). There were 97 cases in the small nodule group, including 28 cases of MTC and 69 cases of PTC. There were 210 cases in the large nodule group, including 59 cases of MTC and 151 cases of PTC. After stratification by thyroid nodules, ultrasonographic features of thyroid nodules and metastatic lymph nodes, preoperative serum calcitonin (CT) and carcinoembryonic antigen (CEA) levels were compared between MTC and PTC patients. Results: In the small nodule group, the proportion of MTCs exhibiting hypoecho, smooth margins, and having blood flow signals was higher than that of PTCs, with statistically significant differences (all P<0.05). In the large nodule group, the proportion of MTCs showing cystic solidity, hypoecho, smooth margins, blood flow, and the type Ⅳvascular distribution was higher than PTCs, and the difference of calcification type between them was also statistically significant (all P<0.05). In contrast, the differences in the number of lesions and aspect ratio between MTCs and PTCs were not statistically significant regardless of nodule size (all P>0.05). In the small nodule group,6 metastatic lymph nodes of medullary thyroid carcinoma (LNM-MTC) and 11 metastatic lymph nodes of papillary thyroid carcinoma (LNM-PTC) were correctly diagnosed by ultrasound, respectively. The diagnostic compliance rate of ultrasound was 78.6% (22/28) and 78.3% (54/69), respectively, with no statistically significant difference (P=0.973). In the large nodule group, 28 LNM-MTC and 11 LNM-PTC were correctly diagnosed by ultrasound, respectively. The diagnostic compliance of ultrasound was 88.1% (52/59) and 73.5% (111/151), respectively, which was statistically significant (P=0.022). Among them, 82.1% of LNM-MTC and 56.6% of LNM-PTC showed abnormal blood flow signals, with a statistically significant difference (P=0.016). There were significant differences in preoperative serum CT and CEA levels of different sizes of MTCs (all P<0.05). Conclusions: Different sizes of MTCs require diverse demonstrative criteria. Abnormal blood flow signal is of great significance in the diagnosis of LNM-MTC. Within the absence of ultrasonic characteristics, preoperative serum CT test can provide confidence for the diagnosis of MTC.
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Affiliation(s)
- D Zhang
- Department of Ultrasound Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - F Yang
- Department of Ultrasound Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Y Wang
- Department of Ultrasound Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - J L Mu
- Department of Ultrasound Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - X Q Wei
- Department of Ultrasound Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - X Wei
- Department of Ultrasound Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
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Liang X, Yu H, Liang R, Feng Z, Saidahmatov A, Sun C, Ren H, Wei X, Zhao J, Yang C, Liu H. Development of Potent MALT1 Inhibitors Featuring a Novel "2-Thioxo-2,3-dihydrothiazolo[4,5- d]pyrimidin-7(6 H)-one" Scaffold for the Treatment of B Cell Lymphoma. J Med Chem 2024; 67:2884-2906. [PMID: 38349664 DOI: 10.1021/acs.jmedchem.3c02031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) has emerged as a novel and promising therapeutic target for the treatment of lymphomas and autoimmune diseases. Herein, we reported a new class of MALT1 inhibitors featuring a novel "2-thioxo-2,3-dihydrothiazolo[4,5-d]pyrimidin-7(6H)-one" scaffold developed by structure-based drug design. Structure-activity relationship studies finally led to the discovery of MALT1 inhibitor 10m, which covalently and potently inhibited MALT1 protease with the IC50 value of 1.7 μM. 10m demonstrated potent and selective antiproliferative activity against ABC-DLBCL and powerful ability to induce HBL1 apoptosis. 10m also effectively downregulated the activities of MALT1 and its downstream signal pathways. Furthermore, 10m induced upregulation of mTOR and PI3K-Akt signals and exhibited a synergistic antitumor effect with Rapamycin in HBL1 cells. More importantly, 10m remarkably suppressed the tumor growth both in the implanted HBL1 and TMD8 xenograft models. Collectively, this work provides valuable MALT1 inhibitors with a distinct core structure.
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Affiliation(s)
- Xuewu Liang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haolan Yu
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200043, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai 200031, China
| | - Renwen Liang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuanghui Feng
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200043, China
| | - Abdusaid Saidahmatov
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenxia Sun
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200043, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai 200031, China
| | - Hairu Ren
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Xiaohui Wei
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiayan Zhao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Chenghua Yang
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200043, China
- Shanghai Key Laboratory of Cell Engineering, Shanghai 200433, China
| | - Hong Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
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8
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Zhang L, Peng W, Wu J, Wei X, Rong N, Zhang G, Yang H, Ding X, Zhao B, Liu J. Pathogenicity and landscape of differential gene expression in mice orally infected with clinical coxsackievirus A6 (CA6). J Virol 2024; 98:e0135823. [PMID: 38226810 PMCID: PMC10878243 DOI: 10.1128/jvi.01358-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/15/2023] [Indexed: 01/17/2024] Open
Abstract
Hand, foot, and mouth disease (HFMD) is caused by more than 20 pathogenic enteroviruses belonging to the Picornaviridae family and Enterovirus genus. Since the introduction of the enterovirus-71 (EV71) vaccine in 2016, the number of HFMD cases caused by EV71 has decreased. However, cases of infections caused by other enteroviruses, such as coxsackievirus A6 (CA6) and coxsackievirus A10, have been increasing accordingly. In this study, we used a clinical isolate of CA6 to establish an intragastric infection mouse model using 7-day-old mice to mimic the natural transmission route, by which we investigated the differential gene expression profiles associated with virus infection and pathogenicity. After intragastric infection, mice exhibited hind limb paralysis symptoms and weight loss, similar to those reported for EV71 infection in mice. The skeletal muscle was identified as the main site of virus replication, with a peak viral load reaching 2.31 × 107 copies/mg at 5 dpi and increased infiltration of inflammatory cells. RNA sequencing analysis identified differentially expressed genes (DEGs) after CA6 infection. DEGs in the blood, muscle, brain, spleen, and thymus were predominantly enriched in immune system responses, including pathways such as Toll-like receptor signaling and PI3K-Akt signaling. Our study has unveiled the genes involved in the host immune response during CA6 infection, thereby enhancing our comprehension of the pathological mechanism of HFMD.IMPORTANCEThis study holds great significance for the field of hand, foot, and mouth disease (HFMD). It not only delves into the disease's etiology, transmission pathways, and severe complications but also establishes a novel mouse model that mimics the natural coxsackievirus A6 infection process, providing a pivotal platform to delve deeper into virus replication and pathogenic mechanisms. Additionally, utilizing RNA-seq technology, it unveils the dynamic gene expression changes during infection, offering valuable leads for identifying novel therapeutic drug targets. This research has the potential to enhance our understanding of HFMD, offering fresh perspectives for disease prevention and treatment and positively impacting children's health worldwide.
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Affiliation(s)
- Lihong Zhang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Wanjun Peng
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Jing Wu
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Xiaohui Wei
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Na Rong
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Gengxin Zhang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Hekai Yang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | | | - Binbin Zhao
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
| | - Jiangning Liu
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- National Center of Technology Innovation for Animal Models, Beijing, China
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Brochard G, Liu C, Wei X, Heidbrink W, Lin Z, Gorelenkov N, Chrystal C, Du X, Bao J, Polevoi AR, Schneider M, Kim SH, Pinches SD, Liu P, Nicolau JH, Lütjens H. Saturation of Fishbone Instability by Self-Generated Zonal Flows in Tokamak Plasmas. Phys Rev Lett 2024; 132:075101. [PMID: 38427884 DOI: 10.1103/physrevlett.132.075101] [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: 04/17/2023] [Revised: 09/15/2023] [Accepted: 11/09/2023] [Indexed: 03/03/2024]
Abstract
Gyrokinetic simulations of the fishbone instability in DIII-D tokamak plasmas find that self-generated zonal flows can dominate the nonlinear saturation by preventing coherent structures from persisting or drifting in the energetic particle phase space when the mode frequency down-chirps. Results from the simulation with zonal flows agree quantitatively, for the first time, with experimental measurements of the fishbone saturation amplitude and energetic particle transport. Moreover, the fishbone-induced zonal flows are likely responsible for the formation of an internal transport barrier that was observed after fishbone bursts in this DIII-D experiment. Finally, gyrokinetic simulations of a related ITER baseline scenario show that the fishbone induces insignificant energetic particle redistribution and may enable high performance scenarios in ITER burning plasma experiments.
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Affiliation(s)
- G Brochard
- ITER organisation, Route de Vinon-sur-Verdon, CS 90 046 13067 St., Paul Lez Durance, France
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - C Liu
- Princeton Plasma Physics Laboratory, Princeton University, P.O. Box 451, Princeton, New Jersey 08543,USA
| | - X Wei
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - W Heidbrink
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - Z Lin
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - N Gorelenkov
- Princeton Plasma Physics Laboratory, Princeton University, P.O. Box 451, Princeton, New Jersey 08543,USA
| | - C Chrystal
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - X Du
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - J Bao
- Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - A R Polevoi
- ITER organisation, Route de Vinon-sur-Verdon, CS 90 046 13067 St., Paul Lez Durance, France
| | - M Schneider
- ITER organisation, Route de Vinon-sur-Verdon, CS 90 046 13067 St., Paul Lez Durance, France
| | - S H Kim
- ITER organisation, Route de Vinon-sur-Verdon, CS 90 046 13067 St., Paul Lez Durance, France
| | - S D Pinches
- ITER organisation, Route de Vinon-sur-Verdon, CS 90 046 13067 St., Paul Lez Durance, France
| | - P Liu
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - J H Nicolau
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - H Lütjens
- CPHT, CNRS, École Polytechnique, Institut Polytechnique de Paris, Route de Saclay, 91128 Palaiseau, France
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Liu Z, Fu Y, Huang W, Li C, Wei X, Zhan J, Zheng J. LINC01094 promotes human nasal epithelial cell epithelial-to-mesenchymal transition and pyroptosis via upregulating HMGB1. Rhinology 2024; 62:88-100. [PMID: 37864411 DOI: 10.4193/rhin23.184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Abstract
BACKGROUND Excessive epithelial-to-mesenchymal transition (EMT) of nasal epithelial cells (NECs) play a prominent role in chronic rhinosinusitis with nasal polyps (CRSwNP) pathogenesis. Long intergenic non-coding RNA 01094 (LINC01094) was previously reported to be overexpressed in CRSwNP, while the regulatory mechanism by which LINC01094 regulates CRSwNP progression remains unclear. Our study aimed to investigate the role of LINC01094 in CRSwNP development. METHODS hNEC were isolated from tissues of controls and CRSwNP patients and stimulated with interleukin (IL)-13. 3-(4, 5-Dimethylthiazolyl2)-2, 5-diphenyltetrazolium bromide (MTT) assay was employed to analyze hNEC viability. Flow cytometry was employed to analyze pyroptosis. Immunofluorescence was employed to analyze Snail nuclear translocation. The interactions between LINC01094, fused in sarcoma (FUS) and high mobility group box-1 (HMGB1) were analyzed by RNA immunoprecipitation (RIP) and RNA pull-down assays. RESULTS LINC01094 and EMT-related proteins were markedly upregulated in nasal polyp tissues of CRSwNP. LINC01094 knockdown inhibited IL-13-induced hNEC EMT and pyroptosis. LINC01094 promoted HMGB1 expression in CRSwNP by binding with FUS. HMGB1 promoted Snail nuclear import in GSK-B phosphorylation-dependent manner. CONCLUSION LINC01094 facilitated hNEC EMT and pyroptosis in CRSwNP by activating the HMGB1/GSK-B Snail axis, which suggested that LINC01094 might serve as a biomarker and therapeutic target in CRSwNP.
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Affiliation(s)
- Z Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
| | - Y Fu
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
| | - W Huang
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
| | - C Li
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
| | - X Wei
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
| | - J Zhan
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
| | - J Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, P.R. China
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Wang Y, Sun X, Xie Y, Du A, Chen M, Lai S, Wei X, Ji L, Wang C. Panax notoginseng saponins alleviate diabetic retinopathy by inhibiting retinal inflammation: Association with the NF-κB signaling pathway. J Ethnopharmacol 2024; 319:117135. [PMID: 37689326 DOI: 10.1016/j.jep.2023.117135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 08/31/2023] [Accepted: 09/05/2023] [Indexed: 09/11/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Diabetic retinopathy (DR) is a neurovascular disease that causes blindness in adults and is the most serious and common complication of diabetes mellitus. Retinal inflammation is an early stage of DR, and it is believed to play a crucial role in the development of DR. Panax notoginseng saponins (PNS) are the major active constituent in the main root of P. notoginseng, and they exhibit various biological activities, including anti-inflammatory, antioxidant, neuroprotective, and immunomodulatory functions. However, the protective effects and underlying mechanisms of PNS against DR remain unclear. AIM OF THE STUDY This study aimed to investigate the alleviation effects of PNS on DR and the mechanisms involved. Furthermore, it intended to explore the major components that exert efficacy in vivo. MATERIALS AND METHODS Streptozotocin (STZ) was administered intraperitoneally to Sprague Dawley rats, and PNS was administered orally for 1 month after 2 months of STZ injection. The morphological structure of the retina and retinal acellular capillaries were assessed via hematoxylin and eosin (H&E) staining assay. The disruption of the blood-retinal barrier (BRB) was detected through Evans blue dye leakage assay, and retinal leukocyte adhesion was achieved via fluorescein isothiocyanate-coupled concanavalin A lectin labeling assay. Immunofluorescence staining and Western blot assays were conducted to detect the expression of tight junction proteins, adhesion molecules, and the ionized calcium-binding adapter molecule-1 (Iba-1) in the retina. Enzyme-linked immunosorbent assay was performed to detect the levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1β in serum. In addition, the protein expression levels of nuclear factor (NF)-κB p65, phosphorylated IκB kinase (p-IKK), phosphorylated NF-κB inhibitor (p-IκB), and phosphorylated NF-κB p65 (p-p65) were measured using Western blot assay. The ocular tissue distribution of PNS in normal and diabetic rats was determined through ultra-performance liquid chromatography-tandem mass spectrometry. The in vitro anti-inflammatory effects of PNS, notoginsenoside (NGR1), ginsenoside Rg1, Re, Rb1, and Rd (GRg1, GRe, GRb1, and GRd) were evaluated on human Müller (MIO-M1) cells. RESULTS PNS increased the reduction in retinal inner nuclear layer thickness, reduced the increase in retinal acellular capillaries, and attenuated elevated BRB disruption by upregulating the decrease in protein expression of claudin-1 and occludin. Furthermore, PNS significantly abrogated microglial cell activation and reversed the increase in leukocyte adhesion by downregulating the increase in the protein expression of intercellular adhesion molecule-1 and vascular cell adhesion molecule-1. Moreover, PNS reduced the elevated levels of TNF-α, IL-6, and IL-1β in serum and inhibited the increased protein expression of p-IKK, p-IκB, and p-p65, and the nuclear translocation of p65. The tissue distribution results revealed that NGR1, GRg1, GRe, GRb1, and GRd were detected in the ocular tissue, while GRg1 and GRb1 were found at the highest levels compared with the other components. The cellular results showed that PNS, NGR1, GRg1, GRe, GRb1, and GRd suppressed the development of cellular inflammatory responses by inhibiting the activation of the NF-κB signaling pathway in MIO-M1 cells and that their anti-inflammatory effects were comparable. CONCLUSION PNS suppressed retinal inflammation by inhibiting the activation of the NF-κB signaling pathway, alleviating DR. GRg1 and GRb1 may be the primary components that exert anti-inflammatory effects in vivo.
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Affiliation(s)
- Yaru Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Xin Sun
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Yumin Xie
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Ao Du
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Ming Chen
- Guangxi Key Laboratory of Comprehensive Utilization Technology of Pseudo-ginseng, Wu Zhou, 543000, China.
| | - Shusheng Lai
- Guangxi Key Laboratory of Comprehensive Utilization Technology of Pseudo-ginseng, Wu Zhou, 543000, China.
| | - Xiaohui Wei
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Lili Ji
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Changhong Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines, The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, and Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
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Rong N, Wei X, Liu J. The Role of Neutrophil in COVID-19: Positive or Negative. J Innate Immun 2024; 16:80-95. [PMID: 38224674 PMCID: PMC10861219 DOI: 10.1159/000535541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/27/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Neutrophils are the first line of defense against pathogens. They are divided into multiple subpopulations during development and kill pathogens through various mechanisms. Neutrophils are considered one of the markers of severe COVID-19. SUMMARY In-depth research has revealed that neutrophil subpopulations have multiple complex functions. Different subsets of neutrophils play an important role in the progression of COVID-19. KEY MESSAGES In this review, we provide a detailed overview of the developmental processes of neutrophils at different stages and their recruitment and activation after SARS-CoV-2 infection, aiming to elucidate the changes in neutrophil subpopulations, characteristics, and functions after infection and provide a reference for mechanistic research on neutrophil subpopulations in the context of SARS-CoV-2 infection. In addition, we have also summarized research progress on potential targeted drugs for neutrophil immunotherapy, hoping to provide information that aids the development of therapeutic drugs for the clinical treatment of critically ill COVID-19 patients.
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Affiliation(s)
- Na Rong
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China,
| | - Xiaohui Wei
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Jiangning Liu
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
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13
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Liu HY, Wei X, Ling JQ. [Application and exploration of artificial intelligence for caries management]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:37-44. [PMID: 38172060 DOI: 10.3760/cma.j.cn112144-20231017-00200] [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: 01/05/2024]
Abstract
With the advent of big data era and improvement of computer performance, the artificial intelligence (AI) technology has rapidly boosted in the field of stomatology. Dental caries is one of the cutting-edge research domains in stomatology. The application of AI in dental caries is expected to promote intelligent, precise and high-efficient diagnosis and treatment of caries. This article focuses on the application of AI in medical-aided diagnosis, treatment and risk prediction of caries and discusses their challenges.
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Affiliation(s)
- H Y Liu
- Department of Operative Dentistry and Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
| | - X Wei
- Department of Operative Dentistry and Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
| | - J Q Ling
- Department of Operative Dentistry and Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
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Khan MT, Ali A, Wei X, Nadeem T, Muhammad S, Al-Sehemi AG, Wei D. Inhibitory effect of thymoquinone from Nigella sativa against SARS-CoV-2 main protease. An in-silico study. BRAZ J BIOL 2024; 84:e250667. [DOI: 10.1590/1519-6984.25066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 01/24/2022] [Indexed: 11/21/2022] Open
Abstract
Abstract Nigella sativa is known for the safety profile, containing a wealth of useful antiviral compounds. The main protease (Mpro, 3CLpro) of severe acute respiratory syndrome 2 (SARS-CoV-2) is being considered as one of the most attractive viral target, processing the polyproteins during viral pathogenesis and replication. In the current investigation we analyzed the potency of active component, thymoquinone (TQ) of Nigella sativa against SARS-CoV-2 Mpro. The structures of TQ and Mpro was retrieved from PubChem (CID10281) and Protein Data Bank (PDB ID 6MO3) respectively. The Mpro and TQ were docked and the complex was subjected to molecular dynamic (MD) simulations for a period 50ns. Protein folding effect was analyzed using radius of gyration (Rg) while stability and flexibility was measured, using root means square deviations (RMSD) and root means square fluctuation (RMSF) respectively. The simulation results shows that TQ is exhibiting good binding activity against SARS-CoV-2 Mpro, interacting many residues, present in the active site (His41, Cys145) and also the Glu166, facilitating the pocket shape. Further, experimental approaches are needed to validate the role of TQ against virus infection. The TQ is interfering with pocket maintaining residues as well as active site of virus Mpro which may be used as a potential inhibitor against SARS-CoV-2 for better management of COVID-19.
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Affiliation(s)
| | - A. Ali
- Shanghai Jiao Tong University, China
| | - X. Wei
- Shanghai Jiao Tong University, China
| | | | | | | | - Dongqing Wei
- Shanghai Jiao Tong University, China; Peng Cheng Laboratory, China
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15
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Ma Q, Chen Z, Fang Y, Wei X, Wang N, Zhou X, Li S, Ying C. Development and validation of survival nomograms for patients with differentiated thyroid cancer with distant metastases: a SEER Program-based study. J Endocrinol Invest 2024; 47:115-129. [PMID: 37294407 DOI: 10.1007/s40618-023-02129-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/31/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND We aimed to develop a nomogram model of overall survival (OS) and cancer-specific survival (CSS) in patients with differentiated thyroid cancer with distant metastases, and to evaluate and validate the nomogram. Also, its prognostic value was compared with that of the 8th edition of the American Joint Committee on Cancer tumor-node-metastasis staging system (AJCC8SS). METHODS Patients with distant metastatic differentiated thyroid cancer (DMDTC) from 2004 to 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) Program to extract the clinical variables used for analysis. A total of 906 patients were divided into a training set (n = 634) and validation set (n = 272). OS and CSS were selected as the primary end point and secondary end point. LASSO regression analysis and multivariate Cox regression analysis were applied to screen variables for constructing OS and CSS nomograms for survival probability at 3, 5, and 10 years. Nomograms were evaluated and validated using the consistency index (C-index), time-dependent receiver operator characteristic (ROC) curves, area under the ROC curve, calibration curves, and decision curve analysis (DCA). The predictive survival of the nomogram was compared with that of AJCC8SS. Kaplan-Meier curves and log-rank tests were used to evaluate the risk-stratification ability OS and CSS nomograms. RESULTS CS and CSS nomograms included six independent predictors: age, marital status, type of surgical procedure, lymphadenectomy, radiotherapy, and T stage. The C-index for the OS nomogram was 0.7474 (95% CI = 0.7199-0.775), and that for the CSS nomogram was 0.7572 (0.7281-0.7862). The nomogram showed good agreement with the "ideal" calibration curve in the training set and validation sets. DCA confirmed that the survival probability predicted by the nomogram had high clinical predictive value. The nomogram could stratify patients more accurately, and showed more robust accuracy and predictive power, than AJCC8SS. CONCLUSIONS We established and validated prognostic nomograms for patients with DMDTC, which had significant clinical value compared with AJCC8SS.
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Affiliation(s)
- Q Ma
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Z Chen
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Y Fang
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - X Wei
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - N Wang
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - X Zhou
- Laboratory of Morphology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - S Li
- Clinical Research Institute, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - C Ying
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
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Ji H, Wei X, Ma D, Wang X, Liu Q. Predicting the global potential distribution of two major vectors of Rocky Mountain Spotted Fever under conditions of global climate change. PLoS Negl Trop Dis 2024; 18:e0011883. [PMID: 38198451 PMCID: PMC10805312 DOI: 10.1371/journal.pntd.0011883] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 01/23/2024] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
Rocky Mountain spotted fever is a tick-borne disease that is highly dangerous but often overlooked by the public. To prevent the spread of the disease, it is important to understand the distribution patterns of its vectors' suitable areas. This study aims to explore the potential global suitability of areas for the vectors of Rocky Mountain spotted fever, including Dermacentor variabilis and Amblyomma cajennense under both historical and future climate scenarios. The study also seeks to investigate the impact of climatic factors on the distribution patterns of these vectors. Data on species distribution were downloaded from the Global Biodiversity Information Facility, Web of Science and PubMed database. The climatic variables were downloaded from WorldClim Global Climate Database. The Maximum Entropy Model was used to evaluate the contribution of monthly precipitation, monthly maximum temperature, monthly minimum temperature, elevation, and nineteen other climatic variables to vector survival, as well as to predict the suitable area for the vectors. We found that D. variabilis is distributed in North America, while A. cajennense is mainly distributed in South America, but all other continents except Antarctica have a suitable distribution. D. variabilis is more likely to survive in temperate regions, and A. cajennense is more likely to survive in tropical zones. D. variabilis is more sensitive to temperature, whereas A. cajennense is sensitive to both temperature and precipitation, and A. cajennense prefers tropical regions with hot and humid characteristics. The high suitable areas of both vectors were almost expanded in the ssp5-8.5 scenario, but not so much in the ssp1-2.6 scenario. Highly suitable areas with vectors survival should be strengthened with additional testing to prevent related diseases from occurring, and other highly suitable areas should be alert for entry and exit monitoring to prevent invasion and colonization of vectors.
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Affiliation(s)
- Haoqiang Ji
- Department of Vector Control, Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong province, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Vector Surveillance and Management, Beijing, China
| | - Xiaohui Wei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Vector Surveillance and Management, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu province, China
| | - Delong Ma
- Jinan Shizhong District Center for Disease Control and Prevention, Jinan, Shandong province, China
| | - Xiaoxu Wang
- Department of Vector Control, Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong province, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Vector Surveillance and Management, Beijing, China
| | - Qiyong Liu
- Department of Vector Control, Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong province, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Vector Surveillance and Management, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu province, China
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Wei X, Wu HY, Pu XH, Wang XD, Li ZW, Sun Q. [NTRK-rearranged spindle cell neoplasm: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1278-1280. [PMID: 38058049 DOI: 10.3760/cma.j.cn112151-20230831-00113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Affiliation(s)
- X Wei
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - H Y Wu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X H Pu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X D Wang
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z W Li
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Guo Y, Xie Y, Wei X, Guo C, Chen P, Wang Y, Mu Y, Shi X, Zhu J, Liang J, Liu Q. Disparities of Heatwave-Related Preterm Birth in Climate Types - China, 2012-2019. China CDC Wkly 2023; 5:1094-1100. [PMID: 38125913 PMCID: PMC10728556 DOI: 10.46234/ccdcw2023.205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023] Open
Abstract
What is already known about this topic? An association between prenatal heatwave exposure and the risk of preterm birth was found. However, the disparities in heatwave-related preterm birth across different climate types have not been examined. What is added by this report? This nationwide case-crossover study investigated the association between heatwave exposure and preterm birth across different Köppen-Geiger climate types. Among pregnant women residing in the arid-desert-cold climate type, exposure to compound heatwaves was found to be associated with a significantly higher risk of preterm birth {adjusted odds ratios (AORs) ranged from 1.55 [95% confidence interval ( CI): 1.21-1.97] to 2.11 (95% CI: 1.35-3.31)}. In contrast, among pregnant women residing in the tropical monsoonal climate type, exposure to daytime-only heatwaves was associated with an increased risk of preterm birth [AORs ranged from 1.25 (95% CI: 1.03-1.51) to 1.37 (95% CI: 1.05-1.77)]. What are the implications for public health practice? Specific interventions should be implemented in China to mitigate the risk of preterm birth related to heatwaves, particularly for pregnant women residing in arid-desert-cold and tropical monsoonal climates.
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Affiliation(s)
- Yafei Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Chinese Center for Disease Control and Prevention Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanxia Xie
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Xiaohui Wei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China
| | - Chenran Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China
| | - Peiran Chen
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Yi Mu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Xiaoming Shi
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Juan Liang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China
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Lin J, Xiao Z, Wei X, Duan P, He X, Dian R, Li Z, Li S. Click-pixel Cognition Fusion Network with Balanced Cut for Interactive Image Segmentation. IEEE Trans Image Process 2023; PP:1-1. [PMID: 38055358 DOI: 10.1109/tip.2023.3338003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Interactive image segmentation (IIS) has been widely used in various fields, such as medicine, industry, etc. However, some core issues, such as pixel imbalance, remain unresolved so far. Different from existing methods based on pre-processing or post-processing, we analyze the cause of pixel imbalance in depth from the two perspectives of pixel number and pixel difficulty. Based on this, a novel and unified Click-pixel Cognition Fusion network with Balanced Cut (CCF-BC) is proposed in this paper. On the one hand, the Click-pixel Cognition Fusion (CCF) module, inspired by the human cognition mechanism, is designed to increase the number of click-related pixels (namely, positive pixels) being correctly segmented, where the click and visual information are fully fused by using a progressive three-tier interaction strategy. On the other hand, a general loss, Balanced Normalized Focal Loss (BNFL), is proposed. Its core is to use a group of control coefficients related to sample gradients and forces the network to pay more attention to positive and hard-to-segment pixels during training. As a result, BNFL always tends to obtain a balanced cut of positive and negative samples in the decision space. Theoretical analysis shows that the commonly used Focal and BCE losses can be regarded as special cases of BNFL. Experiment results of five well-recognized datasets have shown the superiority of the proposed CCF-BC method compared to other state-of-the-art methods. Code will be publicly available at https://github.com/lab206/CCF-BC.
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Zhang S, Mao X, Xu H, Wei X, Chou G. Abietane diterpenoids and iridoids from Caryopteris mongolica. Chin J Nat Med 2023; 21:927-937. [PMID: 38143106 DOI: 10.1016/s1875-5364(23)60409-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Indexed: 12/26/2023]
Abstract
Six new abietane diterpenoids (1-6) and five undescribed iridoids (7-11) have been isolated from the aerial parts of Caryopteris mongolica. The intricate structural characterization of these compounds was meticulously undertaken using an array of advanced spectroscopic techniques. This process was further enhanced by the application of DP4+ probability analyses and electronic circular dichroism (ECD) calculations. Following isolation and structural elucidation, the cytotoxicity of these compounds was evaluated. Among them, compound 3 stood out, displaying significant cytotoxic activity against HeLa cells with an IC50 value of 7.83 ± 1.28 μmol·L-1. Additionally, compounds 1, 2, 4, 9, and 10 manifested moderate cytotoxic effects on specific cell lines, with IC50 values ranging from 11.7 to 20.9 μmol·L-1.
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Affiliation(s)
- Shanshan Zhang
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Xudong Mao
- State Key Lab of New Drug and Pharmaceutical Process, Shanghai Institute of Pharmaceutical Industry, China State Institute of Pharmaceutical Industry, Shanghai 201203, China
| | - Hongtao Xu
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai 201203, China
| | - Xiaohui Wei
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Guixin Chou
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai 201203, China.
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21
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Song Z, Kang X, Wei X, Li S. Pixel-Centric Context Perception Network for Camouflaged Object Detection. IEEE Trans Neural Netw Learn Syst 2023; PP:1-14. [PMID: 37819817 DOI: 10.1109/tnnls.2023.3319323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Camouflaged object detection (COD) aims to identify object pixels visually embedded in the background environment. Existing deep learning methods fail to utilize the context information around different pixels adequately and efficiently. In order to solve this problem, a novel pixel-centric context perception network (PCPNet) is proposed, the core of which is to customize the personalized context of each pixel based on the automatic estimation of its surroundings. Specifically, PCPNet first employs an elegant encoder equipped with the designed vital component generation (VCG) module to obtain a set of compact features rich in low-level spatial and high-level semantic information across multiple subspaces. Then, we present a parameter-free pixel importance estimation (PIE) function based on multiwindow information fusion. Object pixels with complex backgrounds will be assigned with higher PIE values. Subsequently, PIE is utilized to regularize the optimization loss. In this way, the network can pay more attention to those pixels with higher PIE values in the decoding stage. Finally, a local continuity refinement module (LCRM) is used to refine the detection results. Extensive experiments on four COD benchmarks, five salient object detection (SOD) benchmarks, and five polyp segmentation benchmarks demonstrate the superiority of PCPNet with respect to other state-of-the-art methods.
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22
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Liu J, Li S, Liu H, Dian R, Wei X. A Lightweight Pixel-Level Unified Image Fusion Network. IEEE Trans Neural Netw Learn Syst 2023; PP:1-13. [PMID: 37819819 DOI: 10.1109/tnnls.2023.3311820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
In recent years, deep-learning-based pixel-level unified image fusion methods have received more and more attention due to their practicality and robustness. However, they usually require a complex network to achieve more effective fusion, leading to high computational cost. To achieve more efficient and accurate image fusion, a lightweight pixel-level unified image fusion (L-PUIF) network is proposed. Specifically, the information refinement and measurement process are used to extract the gradient and intensity information and enhance the feature extraction capability of the network. In addition, these information are converted into weights to guide the loss function adaptively. Thus, more effective image fusion can be achieved while ensuring the lightweight of the network. Extensive experiments have been conducted on four public image fusion datasets across multimodal fusion, multifocus fusion, and multiexposure fusion. Experimental results show that L-PUIF can achieve better fusion efficiency and has a greater visual effect compared with state-of-the-art methods. In addition, the practicability of L-PUIF in high-level computer vision tasks, i.e., object detection and image segmentation, has been verified.
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23
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Liu L, Zhang Q, Wang C, Guo H, Mukwaya V, Chen R, Xu Y, Wei X, Chen X, Zhang S, Zhou M, Dou H. Single-Cell Diagnosis of Cancer Drug Resistance through the Differential Endocytosis of Nanoparticles between Drug-Resistant and Drug-Sensitive Cancer Cells. ACS Nano 2023; 17:19372-19386. [PMID: 37781914 DOI: 10.1021/acsnano.3c07030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Single-cell diagnosis of cancer drug resistance is highly relevant for cancer treatment, as it can be used to identify the subpopulations of drug-resistant cancer cells, reveal the sensitivity of cancer cells to treatment, and monitor the progress of cancer drug resistance. However, simple and effective methods for cancer drug resistance detection at the single-cell level are still lacking in laboratory and clinical studies. Inspired by the fact that nanoparticles with diverse physicochemical properties would generate distinct and specific interactions with drug-resistant and drug-sensitive cancer cells, which have distinctive molecular signatures, here, we have synthesized a library of fluorescent nanoparticles with various sizes, surface charges, and compositions (SiO2 nanoparticles (SNPs), organic PS-co-PAA nanoparticles (ONPs), and ZIF-8 nanoparticles (ZNPs)), thus demonstrating that the composition has a critical influence on the interaction of nanoparticles with drug-resistant cancer cells. Furthermore, the clathrin/caveolae-independent endocytosis of ZNPs together with the P-glycoprotein-related decreased cell membrane fluidity resulted in a lower cellular accumulation of ZNPs in drug-resistant cancer cells, consequently causing the distinct cellular accumulation of ZNPs between the drug-resistant and drug-sensitive cancer cells. This difference was further quantified by detecting the fluorescence signals generated by the accumulation of nanoparticles at the single-cell level via flow cytometry. Our findings provide another insight into the nanoparticle-cell interactions and offer a promising platform for the diagnosis of cancer drug resistance of various cancer cells and clinical cancer samples at the single-cell level.
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Affiliation(s)
- Lingshan Liu
- The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, 429 Zhangheng Road, Shanghai 201203, China
| | - Qiurui Zhang
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Chenglong Wang
- The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, 429 Zhangheng Road, Shanghai 201203, China
| | - Heze Guo
- The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, 429 Zhangheng Road, Shanghai 201203, China
| | - Vincent Mukwaya
- The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, 429 Zhangheng Road, Shanghai 201203, China
| | - Rong Chen
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Yichun Xu
- Shanghai Biochip Co. Ltd. and National Engineering Center for Biochip at Shanghai, 151 Libing Road, Shanghai 201203, China
| | - Xiaohui Wei
- School of Pharmacy, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Xiaoyan Chen
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Sujiang Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Min Zhou
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Hongjing Dou
- The State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, 429 Zhangheng Road, Shanghai 201203, China
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Ma T, Wei X, Wu X, Du J. Trends and future projections of liver cancer incidence in Hong Kong: a population-based study. Arch Public Health 2023; 81:179. [PMID: 37789405 PMCID: PMC10548600 DOI: 10.1186/s13690-023-01191-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/19/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Liver cancer remains a significant burden in Hong Kong. We sought to examine trends in liver cancer incidence using 30 years of cancer registry data in Hong Kong. Additionally, we aimed to assess the impact of age, period and birth cohort on liver cancer incidence, provided projections for liver cancer incidence until 2030, and examined the drivers of liver cancer incidence. METHODS Data on liver cancer incidence were collected from the Hong Kong Cancer Registry (HKCaR). We assessed age, period, and birth cohort effects using age-period-cohort (APC) models. We employed Bayesian APC analysis with integrated nested Laplace approximations to project the future burden of liver cancer in Hong Kong. Furthermore, we attributed the changes in new liver cancer cases to population growth, population ageing, and epidemiological changes. RESULTS The study included a total of 51,333 individuals, of whom 39,287 (76.53%) were male. From 1991 to 2020, the age-standardized liver cancer incidence rate in Hong Kong continued declining, while the number of new cases increased significantly, especially among males. The net drift, representing the overall annual percentage change of the age-adjusted rate, was - 3.06% (95% confidence interval [CI]: -3.31% to -2.80%) for males and - 3.85% (95% CI: -4.61% to -3.09%) for females. Local drift, which estimates the annual percentage change over time specific to age group, decreased in all age groups for both sexes, with a more pronounced decrease in younger age groups. The period and cohort risk of developing liver cancer also showed decreasing trends for both sexes. The study projected a decline in liver cancer cases for males but an increase for females in Hong Kong, with an estimated 1,083 cases in males and 710 cases in females by 2030. Demographic decomposition analysis revealed that while population growth and ageing were the main drivers of increased liver cancer cases, epidemiologic shifts mostly offset these factors. CONCLUSION The period and cohort risk of developing liver cancer in Hong Kong declined due to epidemiological changes. Although the age-standardized incidence rates of liver cancer have also declined, demographic and epidemiological factors have led to lower case expectations in males but a likely increase in females. Further research and epidemiological assessment of the disease are needed.
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Affiliation(s)
- Tianyou Ma
- School of Public Health, Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Xiaohui Wei
- Third Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xiaoming Wu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China
| | - Jianqiang Du
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China.
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Liu Q, Wu Q, Wang Y, Zheng Y, Wang X, Peng X, Wang X, Wei X, Zhang S, Qiao J, Li L, Yang Y. A Phase 2 Trial of Efficacy and Safety of Intraoperative Radiation Therapy for Locally Advanced Laryngocarcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e600-e601. [PMID: 37785812 DOI: 10.1016/j.ijrobp.2023.06.1962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) For locally advanced laryngeal cancer (LAL), the local recurrence rate remains 19-40% after radical surgery with postoperative radiotherapy alone or with concurrent chemoradiotherapy in patients with unfavorable prognostic factors. We evaluate local control and acute toxicity of intraoperative radiation therapy (IORT) as a tumor bed boost for locally advanced laryngeal cancer in this prospective phase 2 trial. MATERIALS/METHODS This phase II clinical study in which a total of 63 LAL patients (T2N1-3/T3N0-3/T4N0-3) were selected and received IORT (T2: 8-10Gy, T3,4:12-15 Gy) as a tumor bed boost during radical surgery, then received external-beam radiation therapy (EBRT) at a total dose of 54-60Gy within 6 weeks after surgery, 5 times per week, 1.8-2Gy per time, 30 times in total. The median follow-up time was 20 months (7 -39 months). The primary outcome was the local control (LC) and 2 - year survival rate determined using the Kaplan-Meier method. This study is registered with ClinicalTrials.gov, NCT04278638. RESULTS A total of 63 patients consented to participate in the study; 59 males and 4 females, median age was 61 years (40-81 years), 14 patients had supraglottic LAL, 44 patients had glottic LAL and 5 patients had subglottic LAL. 10 patients showed high differentiation and 44 patients showed moderate differentiation and 9 patients showed low differentiation with laryngeal squamous cell carcinoma. 3 patients were in T2N1-2 stage, 40 patients in T3N0-2 stage, and 20 patients in T4N0-2 stage, 48 patients received total laryngectomy and 15 patients received hemilaryngectomy; 16 patients were lymph node-positive and 1 patient developed vascular tumor thrombus after surgery. After surgery combined with IORT and EBRT, the 1- and 2- year LC rates were 98.2% and 93.1 %, respectively, 2-year overall survival rate was 97.4%. Pharyngeal fistula was observed in 1 patient (1. 6 %) and wound infection in 3 patients (4.8%). Radiation Therapy Oncology Group (RTOG) grade 3 pain and RTOG grade 4 dyspnea were noted in one patient (1.6%) and 2 patients (3.2 %), respectively. CONCLUSION In summary, our prospective phase II trial proved that the addition of intraoperative radiotherapy as a tumor bed boost to postoperative radiotherapy provided local therapeutic benefit to patients with locally advanced laryngeal cancer. Our data support the safety of this combined therapy. Additional investigation is warranted to determine the role of intraoperative radiotherapy in the local treatment of locally advanced laryngeal cancer.
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Affiliation(s)
- Q Liu
- Department of Radiation Oncology, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - Q Wu
- Department of Radiotherapy and Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - Y Wang
- Department of Radiotherapy and Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - Y Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - X Wang
- Department of Radiotherapy, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - X Peng
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - X Wang
- Department of Radiotherapy, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - X Wei
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - S Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - J Qiao
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - L Li
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, Tianjin, China
| | - Y Yang
- Department of Radiotherapy, Tianjin First Central Hospital, Tianjin, Tianjin, China
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26
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Abana CO, Carriere PP, Damen P, van Rossum PSN, Bravo PL, Wei X, Pollard JM, Nitsch PL, Murphy MB, Hofstetter W, Liao Z, Lin SH. Long-Term Outcomes and Toxicity in Esophageal Cancer Patients after Neoadjuvant or Definitive Concurrent Chemotherapy with Proton Beam Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e280-e281. [PMID: 37785050 DOI: 10.1016/j.ijrobp.2023.06.1262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Proton-beam therapy (PT) is increasingly utilized over three dimensional-conformal radiation therapy (3D-CRT) and intensity modulated radiation therapy (IMRT) photon irradiation for the treatment of various malignancies due to better toxicity reduction. We investigated the long-term outcomes and toxicity in esophageal cancer (EC) patients treated with PT as part of their neoadjuvant concurrent chemoradiation followed by surgery (nCRT) or definitive concurrent chemoradiation (dCRT) treatment regimen. MATERIALS/METHODS All consecutively treated, American Joint Committee on Cancer 7th edition clinical stage I-IV EC patients from 2006 to 2022 were retrospectively analyzed. Standard RT dose for most patients was 50.4 Gy/28 fractions. nCRT patients had surgery within 4 months post-RT. Kaplan-Meier method was used to determine overall survival (OS), locoregional recurrence-free survival (LRRFS) and distant metastatic-free survival (DMFS). Acute and chronic RT-related toxicities were graded with Common Terminology Criteria for Adverse Events version 4.0. RESULTS There were 510 EC PT patients: 204 (40%) had nCRT and 306 (60%) had dCRT. Most lesions were located in the lower esophagus, of adenocarcinoma histology and treated with passive scatter PT. Overall median follow-up was 72 months. Median, 3- and 5-year OS for all patients were 43 months, 54.1% and 44.9%, respectively. Median LRRFS and DMFS were not reached. Esophagitis was the most common grade ≥3 (G3+) toxicity (59 patients; 28.9%, including a G4 and a G5 toxicity), followed by nausea (29 patients; 14.2%) and esophageal stricture (26 patients, 12.7%). With nCRT, median, 3- and 5-year OS were 80 months, 64.7% and 56.1%, respectively, while the median LRRFS and DMFS were not reached again. Their most common G3+ toxicity was esophagitis in 14 patients (6.9%) followed by nausea (8 patients; 3.9%). An nCRT patient developed G4 RT pneumonitis. Pathological complete response (pCR) was observed in 58 patients (28.4%). Surgery-related pulmonary, cardiac and gastrointestinal complications were reported in 38 (18.6%), 40 (19.6%) and 43 (21.1%) patients, respectively. dCRT patients had a median follow-up of 65 months, and median, 3- and 5-year OS of 32 months, 46.7% and 37.0%, respectively. Although the median LRRFS was not reached, the median DMFS was 74 months. The most observed dCRT G3+ toxicity was esophagitis (45 patients, 22.1%: including both G4 and G5 patients) and then esophageal stricture (23 patients, 11.3%). A dCRT patient developed G4 fistula. CONCLUSION To our knowledge, this is the largest single-institutional study on EC long-term outcomes and toxicity using PT. Our cohort reveals good outcomes and mostly mild CRT-related toxicities. Trimodality nCRT with protons demonstrates excellent outcomes relative to the CROSS trial (49.4 months) with identical pCR rate (29% in CROSS) and similar toxicity profile. nCRT with protons should be studied rigorously in the current randomized phase III trial NRG GI006.
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Affiliation(s)
- C O Abana
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P P Carriere
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P Damen
- Department of Radiation Oncology, The University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - P S N van Rossum
- Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - P Lopez Bravo
- Department of Radiation Oncology Clinical Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - X Wei
- Department of Radiation Oncology Clinical Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - J M Pollard
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P L Nitsch
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - M Blum Murphy
- Department of Gastrointestinal Medical Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - W Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Z Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Jia KY, Chen F, Peng Y, Wei JF, He S, Wei X, Tang H, Meng W, Feng Y, Chen M. Multidetector CT-derived tricuspid annulus measurements predict tricuspid regurgitation reduction after transcatheter aortic valve replacement. Clin Radiol 2023; 78:779-788. [PMID: 37574402 DOI: 10.1016/j.crad.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/13/2023] [Accepted: 07/10/2023] [Indexed: 08/15/2023]
Abstract
AIM To use multidetector row computed tomography (MDCT)-derived tricuspid annulus (TA) measurements to identify predictors for tricuspid regurgitation (TR) reduction after transcatheter aortic valve replacement (TAVR), and to investigate the impact of TR change on prognosis. MATERIALS AND METHODS A retrospective, single-centre study was conducted on consecutive patients who underwent TAVR with concomitant baseline mild or more severe TR from April 2012 to April 2022. TA parameters were measured using MDCT. RESULTS The study comprised 266 patients (mean age 74.2 ± 7.6 years, 147 men) and 45.1% had more than one grade of TR reduction at follow-up. Independent predictors of TR reduction at follow-up were distance between TA centroid and antero-septal commissure (odd ratio [OR] 0.776; 95% confidence interval [CI]: 0.672-0.896, p=0.001), baseline TR of moderate or worse (OR 4.599; 95% CI: 2.193-9.648, p<0.001), systolic pulmonary artery pressure (OR 1.018; 95% CI: 1.002-1.035, p=0.027), age (OR 0.955; 95% CI: 0.920-0.993, p=0.019), and pre-existing atrial fibrillation (OR 0.209; 95% CI: 0.101-0.433, p<0.001). Patients without TR reduction had higher rates of rehospitalisation (hazard ratio [HR] 0.642; 95% CI: 0.413-0.998, p=0.049). CONCLUSIONS The MDCT-derived TA parameter was predictive of TR reduction after TAVR. Persistent TR after TAVR was associated with higher rates of rehospitalisation.
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Affiliation(s)
- K-Y Jia
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - F Chen
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - Y Peng
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - J-F Wei
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - S He
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - X Wei
- Department of Cardiology, Section of Cardiac Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - H Tang
- Department of Cardiology, Section of Cardiac Ultrasound, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China
| | - W Meng
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China.
| | - Y Feng
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China.
| | - M Chen
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Road, 610041 Chengdu, China.
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Wei X, Bohrer B, Uttaro B, Juárez M. Developing an alternative classification method for predicting ham composition using linear measurements from the cross-sectional ham surface. Meat Sci 2023; 204:109237. [PMID: 37301102 DOI: 10.1016/j.meatsci.2023.109237] [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: 12/05/2022] [Revised: 05/03/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023]
Abstract
Digital image analysis based on the ham cross-sectional face was used to measure two lean muscle and three subcutaneous fat locations from 248 bone-in hams. Linear measurements of the two selected fat locations were used to predict dual-energy X-ray (DXA) fat or lean percentages with prediction accuracies (R2) of 0.7 in a stepwise regression eq. A classification system was built based on the prediction equations, and the linear measurements aimed to classify extremes at the threshold of the 10th percentile of DXA fat percentage (> 32.0%) and lean percentage (< 60.2%). When using either DXA fat or lean percentage, lean ham prediction accuracy dropped by 18%, but fat ham prediction accuracy increased by 60% when the threshold was changed from the 10th percentile to the 30th percentile. This classification approach has the potential to be converted into a manual tool with several useful applications for commercial pork processors.
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Affiliation(s)
- X Wei
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada; University of Guelph, Guelph, ON N1G 2W1, Canada
| | - B Bohrer
- The Ohio State University, Columbus, OH 43210, USA
| | - B Uttaro
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada
| | - M Juárez
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada.
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Wei X, Zheng J, Bu L, Luo Y, Qiu Y, Yang C. Digital template-guided genioplasty for patients with jaw deformity resulting from temporomandibular joint ankylosis: A comparison between single- and double-layer genioplasty. Int J Oral Maxillofac Surg 2023; 52:1057-1063. [PMID: 36990830 DOI: 10.1016/j.ijom.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/29/2023]
Abstract
The aim of this study was to compare single- and double-layer digital template-assisted genioplasty for the correction of jaw deformity resulting from temporomandibular joint ankylosis (TMJA). Thirteen patients with jaw deformity resulting from TMJA who underwent lateral arthroplasty, costochondral graft, or total joint replacement combined with single- or double-layer digital template-assisted genioplasty were included. Computed tomography data were obtained for the preoperative design. Digital templates were designed and manufactured using three-dimensional printing to assist with the chin osteotomy and repositioning in single- or double-layer genioplasty. Of the 13 patients included, seven underwent single-layer genioplasty and six underwent double-layer genioplasty. The digital templates precisely reflected the osteotomy planes and repositioning of the chin segments intraoperatively. The radiographic evaluation showed that the patients who underwent double-layer genioplasty exhibited more chin advancement (11.95 ± 0.92 mm vs 7.50 ± 0.89 mm; P < 0.001) with a slightly larger mean surface error (1.19 ± 0.14 mm vs 0.75 ± 0.15 mm; P < 0.001) than those who underwent single-layer genioplasty. This indicates that double-layer genioplasty better promoted chin advancement and improved the facial shape, but was accompanied by more surgical error compared with the preoperative design. Furthermore, hardly any nerve damage was observed. Digital templates are useful for assisting in surgical procedures.
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Affiliation(s)
- X Wei
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, and National Clinical Research Center of Stomatology, Shanghai, China
| | - J Zheng
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, and National Clinical Research Center of Stomatology, Shanghai, China
| | - L Bu
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, and National Clinical Research Center of Stomatology, Shanghai, China
| | - Y Luo
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, and National Clinical Research Center of Stomatology, Shanghai, China
| | - Y Qiu
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, and National Clinical Research Center of Stomatology, Shanghai, China
| | - C Yang
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, and National Clinical Research Center of Stomatology, Shanghai, China.
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Dai S, Guo Y, Mao H, Wei X, Zhang W, Chen X, Zhao W, Zhang S. Sulfonic acid functionalized monolithic column for high selectivity capillary electrochromatography separation. Mikrochim Acta 2023; 190:402. [PMID: 37726434 DOI: 10.1007/s00604-023-05994-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/08/2023] [Indexed: 09/21/2023]
Abstract
A new nano-scale spherical vinyl-functionalized covalent organic polymer (TAPT-DVA-COP) with uniform sizes around 300 nm was initially constructed using 2,5-divinyl-1,4-benzaldehyde (DVA) and 2,4,6-tris(4-aminophenyl)-1,3,5-triazine (TAPT) as monomers. Then, a sulfonic acid (-SO3H) modified COP termed COP-SO3H was developed based on post-sythesis method employing TAPT-DVA-COP as precursor. Capillary electrochromatography (CEC) monolithic columns were fabricated using the physical doping technique to exhibit the application potential of TAPT-DVA-COP and COP-SO3H. Compared to the TAPT-DVA-COP monolithic column, the COP-SO3H monolithic column achieved a highly selective separation between analytes with different properties, including monosubstituted benzenes, alkylbenzenes, hydroxybenzoates, nucleoside bases, and biogenic amines. Non-covalent interaction (NCI) analysis and experimental data show that the synergism of the sulfonic acid group and aromatic moieties on COP-SO3H endows the new stationary phase with diverse interactions, including ion exchange, hydrophobic, π-π and hydrogen bonding. In addition, the COP-SO3H monolithic column exhibited good reproducibility and excellent potential for the determination of hydroxybenzoates in compact powders and alkylbenzenes in effluent samples.
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Affiliation(s)
- Shuyu Dai
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China
| | - Yun Guo
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China
| | - Hongyan Mao
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China
| | - Xiaohui Wei
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China
| | - Wenfen Zhang
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China.
- Food Laboratory of Zhongyuan, Flavour Science Research Center of Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China.
| | - Xin Chen
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China
| | - Wuduo Zhao
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China
| | - Shusheng Zhang
- College of Chemistry, Key Laboratory of Molecular Sensing and Harmful Substances Detection Technology, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China.
- Food Laboratory of Zhongyuan, Flavour Science Research Center of Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan, 450001, People's Republic of China.
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Li Y, Zhang J, Song P, Miao X, Liu G, Yang C, Wei X, Li N, Bian F. Small-Angle X-ray Scattering for PEGylated Liposomal Doxorubicin Drugs: An Analytical Model Comparison Study. Mol Pharm 2023; 20:4654-4663. [PMID: 37616278 DOI: 10.1021/acs.molpharmaceut.3c00396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Liposomal delivery systems are recognized as efficient and safe platforms for chemotherapeutic agents, with doxorubicin-loaded liposomes being the most representative nanopharmaceuticals. Characterizing the structure of liposomal nanomedicines in high spatial and temporal resolution is critical to analyze and evaluate their stability and efficacy. Small-angle X-ray scattering (SAXS) is a powerful tool increasingly used to investigate liposomal delivery systems. In this study, we chose a Doxil-like PEGylated liposomal doxorubicin (PLD) as an example and characterized the liposomal drug structure using synchrotron SAXS. Classical analytical models, including the spherical-shell or flat-slab geometries with Gaussian or uniform electron density profiles, were used to model the internal structure of the liposomal membrane. A cylinder model was applied to fit the scattering from the drug crystal loaded in the liposomes. The high-resolution structures of the original drug, Caelyx, and a similar research drug prepared in our laboratory were characterized using these analytical models. The structural parameters of PLDs, including the thickness of the liposomal membrane and morphology of the drug crystal, were further compared. The results demonstrated that both spherical-shell and flat-slab geometries with Gaussian electron density distribution were suitable to elucidate the structural features of the liposomal membrane under a certain range of scattering vectors, while models with uniform electron density distribution exhibited poor fitting performance. This study highlights the technical features of SAXS, which provides structural information at the nanoscale for liposomal drugs. The demonstrated methods are reliable and easy-to-use for the structural analysis of liposomal drugs, which are helpful for a broader application of SAXS in the production and regulation of nanopharmaceuticals.
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Affiliation(s)
- Yiwen Li
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Jianqiao Zhang
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Panqi Song
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Xiaran Miao
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Guangfeng Liu
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Chunming Yang
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohui Wei
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Na Li
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Fenggang Bian
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Tie H, Wang Y, Shang Y, Li M, Wei X, Wang Z. Fabrication of pH-dependent solid dispersion for oral colon-targeted delivery of notoginsenoside R1 and its protective effects on ulcerative colitis mice. Heliyon 2023; 9:e20280. [PMID: 37809823 PMCID: PMC10560026 DOI: 10.1016/j.heliyon.2023.e20280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 09/12/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023] Open
Abstract
Notoginsenoside R1 (R1), which originated from the rhizomes and roots of Panax notoginseng, is classified as a Biopharmaceutical Classification System class III drug with good solubility but poor oral absorption. Although R1 can alleviate the inflammation of dextran sulfate sodium (DSS)-induced colitis in mice, the problem of acid degradation and low bioavailability limit its application. The purpose of this study was aimed to design one kind of pH-dependent solid dispersion for oral colon-targeted delivery of R1. Using Eudragit S100 (ES 100) and PEG 4000 as the pH-dependent carriers, R1 solid dispersion (R1-SD) was fabricated by solvent evaporation method. Scanning electron microscopy, differential scanning calorimetry, and powder X-ray diffraction analysis indicated that R1-SD was completely formed, the surface was smooth surface and the strip crystal structure of R1 disappeared. The in vitro release profile of R1-SD (R1-ES 100-PEG 4000, 1:7:1, weight ratio) exhibited that R1-SD was not released in media simulating the gastric condition (pH 1.2), but better release characteristics of the drug could be obtained in media simulating the intestinal condition (less than 30% in pH 6.8 phosphate-buffered saline and more than 90% in pH 7.6 condition). The in vitro colon absorption test showed that the absorption rate and cumulative release of R1-SD were higher than those of R1. R1-SD and R1 had apparent protective effect on colon shortening, inflammatory infiltrating tissue injury, weight loss, diarrhea, blood stool in mice with ulcerative colitis induced by DSS, and the protective effect of R1-SD was better than that of R1, which indicated R1-SD has good practical application prospects.
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Affiliation(s)
- Hongyun Tie
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
- Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai 200137, China
| | - Yaru Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
| | - Yunxia Shang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
| | - Manlin Li
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
| | - Xiaohui Wei
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
| | - Zhengtao Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
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Zhao ZG, Li RT, Wei X, Peng Y, Wei JF, He S, Li Q, Li X, Li YJ, Li X, Zhou X, Zheng MX, Chen G, An Q, Chen M, Feng Y. [Preliminary experience of transcatheter pulmonary valve replacement using domestic balloon-expandable valve]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:825-831. [PMID: 37583330 DOI: 10.3760/cma.j.cn112148-20230608-00336] [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: 08/17/2023]
Abstract
Objectives: To evaluate the feasibility and preliminary clinical results of transcatheter pulmonary valve replacement (TPVR) with the domestically-produced balloon-expandable Prizvalve system. Methods: This is a prospective single-center observational study. Patients with postoperative right ventricular outflow tract (RVOT) dysfunction, who were admitted to West China Hospital of Sichuan University from September 2021 to March 2023 and deemed anatomically suitable for TPVR with balloon-expandable valve, were included. Clinical, imaging, procedural and follow-up data were analyzed. The immediate procedural results were evaluated by clinical implant success rate, which is defined as successful valve implantation with echocardiography-assessed pulmonary regurgitation
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Affiliation(s)
- Z G Zhao
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - R T Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Wei
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y Peng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - J F Wei
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - S He
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Q Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Li
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y J Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Zhou
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - M X Zheng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - G Chen
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Q An
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - M Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y Feng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
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Tang M, Yao S, Cao H, Wei X, Zhen Q, Tan Y, Liu F, Wang Y, Peng Y, Fan N. Interrelation between the lipid accumulation product index and diabetic kidney disease in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1224889. [PMID: 37645414 PMCID: PMC10461558 DOI: 10.3389/fendo.2023.1224889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Objective The purpose of this study was to determine the relation between the lipid accumulation product index (LAPI) and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Methods Herein, 931 patients were enrolled and their data were collected. Then the interrelation between LAPI and DKD was assessed using multivariate logistic regression analyses (LRAs) and by a restricted cubic spline (RCS). Results In total, 931 participants (352 females and 579 males) aged 55 years on average were included in the study. After adjusting for several confounders, the odds ratio for DKD was increased evidently in the third LAPI tertile compared with that in the first LAPI tertile. In addition, the RCS revealed a positive interrelation between LAPI and DKD. In the subgroup analyses, age, sex, hyperlipidemia, hypertension, and HbA1c did not significantly interact with LAPI. Conclusions LAPI was higher in the DKD group than in the no-DKD group, and LAPI is positively linked with DKD, which may have potential value to diagnose DKD in clinical practice.
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Affiliation(s)
- Min Tang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangshuang Yao
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Han Cao
- Department of Endocrinology and Metabolism, Shanghai General Hospital of Nanjing Medical University, Shanghai, China
- Department of Endocrinology, Songjiang District Central Hospital, Shanghai, China
| | - Xiaohui Wei
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Zhen
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijiong Tan
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fang Liu
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongde Peng
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Endocrinology and Metabolism, Shanghai General Hospital of Nanjing Medical University, Shanghai, China
| | - Nengguang Fan
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Wei X, Cheng D, Shao C, Pang K, Xiao J, Zhang Y, Wu M, Zhang L, Ni P, Zhang F. A comparative study of pilomatricoma and epidermoid cyst with ultrasound. Clin Radiol 2023; 78:e582-e589. [PMID: 37183139 DOI: 10.1016/j.crad.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/09/2023] [Accepted: 04/19/2023] [Indexed: 05/16/2023]
Abstract
AIM To explore and compare the ultrasonic (US) features of pilomatricoma (PM) and epidermoid cyst (EC) in the differential diagnosis and improve the accuracy of US diagnosis of PM. MATERIALS AND METHODS Three hundred and nine patients who underwent US examination before surgery with a histopathological diagnosis of PM or EC after surgery were analysed retrospectively. The patients were categorised into the training and validation sets according to the inspection times. Univariate analysis was undertaken on the US and clinical features of PM and statistically significant variables (p<0.05) were included in the multivariate logistic regression model to establish a diagnostic model. RESULTS The results demonstrated that the multivariate logistic regression model for PM was statistically significant (p<0.001). The risk factors included posterior echo attenuation and hypoechoic halos (odds ratio [OR] = 9.277, 10.254) and the protective factors included age, diameter thickness, and posterior echo enhancement (OR=0.936, 0.302, 0.156). The performance of the diagnostic model was tested using the training set (area under the receiver operating characteristic curve [AUC] = 0.974, 95% confidence interval [CI] = 0.955-0.994) and the validation set (AUC = 0.967, 95% CI = 0.926-1.000), which demonstrated good discriminant ability. CONCLUSIONS The diagnostic accuracy for PM was higher than that for EC when the nodule is characterised by posterior echo attenuation, hypoechoic halos, smaller thickness, and younger age. The US diagnostic model developed may be used to guide the diagnosis of PM.
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Affiliation(s)
- X Wei
- Department of Ultrasound, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - D Cheng
- Department of Radiology, Jinan Fourth People's Hospital, Jinan, Shandong, China
| | - C Shao
- Department of Evidence-Based Medicine, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - K Pang
- Department of Ultrasound, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - J Xiao
- Department of Evidence-Based Medicine, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - Y Zhang
- Department of Ultrasound, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - M Wu
- Department of Ultrasound, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - L Zhang
- Department of Pathology, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - P Ni
- Department of Ultrasound, the Second Hospital of Shandong University, Jinan, Shandong, China
| | - F Zhang
- Department of Ultrasound, the Second Hospital of Shandong University, Jinan, Shandong, China.
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Wei X, Li C, Zhao C, Zhao B, Liu Y. [Characterization of metabotropic glutamate receptor 7 and 8 in rat superior cervical ganglion and their changes following chronic intermittent hypoxia]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1172-1178. [PMID: 37488800 PMCID: PMC10366511 DOI: 10.12122/j.issn.1673-4254.2023.07.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the expression and localization of metabotropic glutamate receptors 7 and 8 (mGluR7/8) in rat superior cervical ganglion (SCG) and their changes in response to chronic intermittent hypoxia (CIH). METHODS We detected the expressions of mGluR7 and mGluR8 in the SCG of 8-week-old male SD rats using immunohistochemistry and characterized their distribution with immunofluorescence staining. The expression of mGluR7 and mGluR8 in the cytoplasm and nucleus was detected using Western blotting. A 6-week CIH rat model was established by exposure to intermittent hypoxia (6% oxygen for 30 s followed by normoxia for 4 min) for 8 h daily, and the changes in systolic blood pressure, diastolic blood pressure and mean arterial pressure were measured. The effect of CIH on expression levels of mGluR7 and mGluR8 in the SCG was analyzed using Western blotting. RESULTS Positive expressions of mGluR7 and mGluR8 were detected in rat SCG. mGluR7 was distributed in the neurons and small fluorescent (SIF) cells with positive staining in both the cytoplasm and nuclei, but not expressed in satellite glial cells (SGCs), nerve fibers or blood vessels; mGluR8 was localized in the cytoplasm of neurons and SIF cells, but not expressed in SGCs, nerve fibers, or blood vessels. Western blotting of the nuclear and cytoplasmic fractions of rat SCG further confirmed that mGluR7 was expressed in both the cytoplasm and the nucleus, while mGluR8 exists only in the cytoplasm. Exposure to CIH significantly increased systolic blood pressure, diastolic blood pressure and mean arterial pressure of the rats (all P < 0.001) and augmented the protein expressions of mGluR7 and mGluR8 in the SCG (P < 0.05). CONCLUSION mGluR7 and mGluR8 are present in rat SCG but with different localization patterns. CIH increases blood pressure of rats and enhanced protein expressions of mGluR7 and mGluR8 in rat SCG.
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Affiliation(s)
- X Wei
- Henan Key Laboratory of Neural Regeneration, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
- Life Science Research Center, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - C Li
- Henan Key Laboratory of Neural Regeneration, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
- Life Science Research Center, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - C Zhao
- Henan Key Laboratory of Neural Regeneration, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
- Life Science Research Center, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - B Zhao
- Department of Theoretic Surgery, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Y Liu
- Henan Key Laboratory of Neural Regeneration, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
- Life Science Research Center, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
- Department of Theoretic Surgery, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
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Diehl S, Trotta N, Joo K, Achenbach P, Akbar Z, Armstrong WR, Atac H, Avakian H, Baashen L, Baltzell NA, Barion L, Bashkanov M, Battaglieri M, Bedlinskiy I, Benmokhtar F, Bianconi A, Biselli AS, Bossù F, Brinkmann KT, Briscoe WJ, Bulumulla D, Burkert V, Capobianco R, Carman DS, Carvajal JC, Celentano A, Charles G, Chatagnon P, Chesnokov V, Ciullo G, Cole PL, Contalbrigo M, Costantini G, Crede V, D'Angelo A, Dashyan N, De Vita R, Deur A, Djalali C, Dupre R, Ehrhart M, El Alaoui A, El Fassi L, Elouadrhiri L, Fegan S, Filippi A, Gavalian G, Glazier DI, Golubenko AA, Gosta G, Gothe RW, Gotra Y, Griffioen K, Hafidi K, Hakobyan H, Hattawy M, Hayward TB, Heddle D, Hobart A, Holtrop M, Illari I, Ireland DG, Isupov EL, Jo HS, Johnston R, Keller D, Khachatryan M, Khanal A, Kim A, Kim W, Klimenko V, Kripko A, Kubarovsky V, Kuhn SE, Lagerquist V, Lanza L, Leali M, Lee S, Lenisa P, Li X, MacGregor IJD, Marchand D, Mascagna V, Matousek G, McKinnon B, McLauchlin C, Meziani ZE, Migliorati S, Milner RG, Mineeva T, Mirazita M, Mokeev V, Moran P, Munoz Camacho C, Naidoo P, Neupane K, Niccolai S, Niculescu G, Osipenko M, Pandey P, Paolone M, Pappalardo LL, Paremuzyan R, Paul SJ, Phelps W, Pilleux N, Pokhrel M, Poudel J, Price JW, Prok Y, Radic A, Raue BA, Reed T, Richards J, Ripani M, Ritman J, Rossi P, Sabatié F, Salgado C, Schadmand S, Schmidt A, Sharabian YG, Shrestha U, Sokhan D, Sparveris N, Spreafico M, Stepanyan S, Strakovsky I, Strauch S, Turisini M, Tyson R, Ungaro M, Vallarino S, Venturelli L, Voskanyan H, Voutier E, Watts DP, Wei X, Williams R, Wishart R, Wood MH, Yurov M, Zachariou N, Zhao ZW, Zurek M. First Measurement of Hard Exclusive π^{-}Δ^{++} Electroproduction Beam-Spin Asymmetries off the Proton. Phys Rev Lett 2023; 131:021901. [PMID: 37505937 DOI: 10.1103/physrevlett.131.021901] [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: 03/21/2023] [Revised: 05/22/2023] [Accepted: 06/20/2023] [Indexed: 07/30/2023]
Abstract
The polarized cross-section ratio σ_{LT^{'}}/σ_{0} from hard exclusive π^{-}Δ^{++} electroproduction off an unpolarized hydrogen target has been extracted based on beam-spin asymmetry measurements using a 10.2 GeV/10.6 GeV incident electron beam and the CLAS12 spectrometer at Jefferson Lab. The study, which provides the first observation of this channel in the deep-inelastic regime, focuses on very forward-pion kinematics in the valence regime, and photon virtualities ranging from 1.5 GeV^{2} up to 7 GeV^{2}. The reaction provides a novel access to the d-quark content of the nucleon and to p→Δ^{++} transition generalized parton distributions. A comparison to existing results for hard exclusive π^{+}n and π^{0}p electroproduction is provided, which shows a clear impact of the excitation mechanism, encoded in transition generalized parton distributions, on the asymmetry.
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Affiliation(s)
- S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - N Trotta
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P Achenbach
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Akbar
- Florida State University, Tallahassee, Florida 32306, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - W R Armstrong
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Baashen
- Florida International University, Miami, Florida 33199, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - M Bashkanov
- University of York, York YO10 5DD, United Kingdom
| | | | - I Bedlinskiy
- National Research Centre Kurchatov Institute-TEP, Moscow, 117259, Russia
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - A S Biselli
- Fairfield University, Fairfield Connecticut 06824, USA
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - K-T Brinkmann
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Capobianco
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - G Charles
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P Chatagnon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Chesnokov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - G Ciullo
- Università di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - P L Cole
- Lamar University, 4400 MLK Boulevard, P.O. Box 10046, Beaumont, Texas 77710, USA
| | | | - G Costantini
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Dupre
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Ehrhart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - G Gavalian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - G Gosta
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Y Gotra
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Hattawy
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Hobart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - I Illari
- The George Washington University, Washington, D.C. 20052, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - R Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - V Klimenko
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Kripko
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Lagerquist
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - S Lee
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Lenisa
- Università di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - X Li
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | | | - D Marchand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - G Matousek
- Duke University, Durham, North Carolina 27708-0305, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C McLauchlin
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Z E Meziani
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Migliorati
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Moran
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - C Munoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Naidoo
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Pandey
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Paolone
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L L Pappalardo
- Università di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Paul
- University of California Riverside, 900 University Avenue, Riverside, California 92521, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
- The George Washington University, Washington, D.C. 20052, USA
| | - N Pilleux
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Pokhrel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Poudel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Radic
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - B A Raue
- Florida International University, Miami, Florida 33199, USA
| | - T Reed
- Florida International University, Miami, Florida 33199, USA
| | - J Richards
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- GSI Helmholtzzentrum fur Schwerionenforschung GmbH, D-64291 Darmstadt, Germany
- Institute fur Kernphysik (Juelich), Juelich, Germany
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - S Schadmand
- GSI Helmholtzzentrum fur Schwerionenforschung GmbH, D-64291 Darmstadt, Germany
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- University of Connecticut, Storrs, Connecticut 06269, USA
- Ohio University, Athens, Ohio 45701, USA
| | - D Sokhan
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - M Spreafico
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Turisini
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Vallarino
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Venturelli
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Williams
- University of York, York YO10 5DD, United Kingdom
| | - R Wishart
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M H Wood
- Canisius College, Buffalo, New York 14208-1517, USA
| | - M Yurov
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - Z W Zhao
- Duke University, Durham, North Carolina 27708-0305, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439, USA
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Yang YC, Shen Y, Wang XD, Jiang Y, Qiu QH, Li J, Yu SQ, Ke X, Liu F, Xu YT, Lou HF, Wang HT, Yu GD, Xu R, Meng J, Meng CD, Sun N, Chen JJ, Zeng M, Xie ZH, Sun YQ, Tang J, Zhao KQ, Zhang WT, Shi ZH, Xu CL, Yang YL, Lu MP, Ye HP, Wei X, Sun B, An YF, Sun YN, Gu YR, Zhang TH, Ba L, Yang QT, Ye J, Xu Y, Li HB. [Expert consensus on the prevention and treatment of adverse reactions in subcutaneous immunotherapy(2023, Chongqing)]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:643-656. [PMID: 37455109 DOI: 10.3760/cma.j.cn115330-20221111-00679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Affiliation(s)
- Y C Yang
- Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Y Shen
- Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - X D Wang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Y Jiang
- Department of Otolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Q H Qiu
- Department of Otolaryngology Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangzhou 510080, China
| | - J Li
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning 530029, China
| | - S Q Yu
- Department of Otolaryngology Head and Neck Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - X Ke
- Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - F Liu
- Department of Otolaryngology Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y T Xu
- Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350004, China
| | - H F Lou
- Department of Otorhinolaryngology Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - H T Wang
- Department of Allergy, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
| | - G D Yu
- Department of Otorhinolaryngology, Affiliated Hospital of Guizhou Medical University, Guiyang 550001, China
| | - R Xu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning 530029, China
| | - J Meng
- Department of Otolaryngology Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - C D Meng
- Department of Otolaryngology Head and Neck Surgery, China Japan Union Hospital of Jilin University, Changchun 130033, China
| | - N Sun
- Department of Otolaryngology, Huadong Hospital, Fudan University, Shanghai 200040, China
| | - J J Chen
- Department of Otolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - M Zeng
- Department of Otolaryngology, Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Z H Xie
- Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Y Q Sun
- Department of Otolaryngology, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518170, China
| | - J Tang
- Department of Otorhinolaryngology, Affiliated First People's Hospital of Foshan City, Sun Yat-sen University, Foshan 528000, China
| | - K Q Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - W T Zhang
- Department of Otolaryngology Head and Neck Surgery, the Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Z H Shi
- Department of Otolaryngology Head and Neck Surgery and Department of Allergy, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - C L Xu
- Department of Otolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, China
| | - Y L Yang
- Department of 1st Otolaryngology, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - M P Lu
- Department of Otolaryngology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - H P Ye
- Department of Otolaryngology, Guizhou Province Hospital, Guiyang 550002, China
| | - X Wei
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Haikou 570311, China
| | - B Sun
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Y F An
- Department of Otorhinolaryngology Head and Neck Surgery, Shanxi Medical University Affiliated Second Hospital, Taiyuan 030001, China
| | - Y N Sun
- Department of Otolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Y R Gu
- Department of Otorhinolaryngology Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - T H Zhang
- Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - L Ba
- Department of Otolaryngology Head and Neck Surgery, People's Hospital of Tibet Autonomous Region, Lasa 850000, China
| | - Q T Yang
- Department of Otolaryngology Head and Neck Surgery and Department of Allergy, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - J Ye
- Department of Otolaryngology Head and Neck Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Y Xu
- Department of Otolaryngology, Head and Neck Surgery, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - H B Li
- Department of Otorhinolaryngology Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
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Wei W, Fang ZY, Chen YL, Ma YQ, Wei X, Yang HY, Zhang CL, Zhai YZ, Cai Q, Lu YX. Clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic organ prolapse. Eur Rev Med Pharmacol Sci 2023; 27:6215-6222. [PMID: 37458627 DOI: 10.26355/eurrev_202307_32980] [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: 07/20/2023]
Abstract
OBJECTIVE The aim of this study was to analyze the clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic organ prolapse (POP). PATIENTS AND METHODS Sixty POP patients admitted to our hospital from January 2020 to December 2021 were picked and divided into Group A (laparoscopic Y-mesh, n = 20), Group B (laparoscopic sacrovaginal fixation, n = 20), and Group C (da Vinci robotic sacral fixation, n = 20). These three groups were compared in terms of the perioperative indexes, such as operation time, intraoperative blood loss, postoperative indwelling catheter days, anal exhaust time, postoperative hospitalization days, etc. The occurrence of short-term and long-term complications in the three groups was compared. The changes of the following index values in the POP quantification system (POP -Q) staging before and 1 year after surgery were recorded and compared among the three groups. It mainly includes the midline of the anterior vaginal wall at 3 cm from the hymenal margin (Aa), the farthest point of the anterior vaginal vault from point Aa (Ba), the farthest point of the ectocervix (C), the location of the posterior vaginal vault or rectal uterine trap (D), the midline of the posterior vaginal wall at 3 cm from the hymenal margin (Ap), and the reflection of the posterior vaginal vault at the farthest point from the Ap point (Bp) values. The changes in Pelvic Floor Distress Inventory-Short Form 20 (PFDI-20) and Pelvic Organ Prolapse/Urinary Incontinence Sexual Questionnaire (PISQ-12) were recorded and compared before and 1 year after the operation. RESULTS The patients in Group C had significantly lower intraoperative bleeding, postoperative indwelling catheter days, anal exhaust time, and postoperative hospitalization days compared with those in Group A and Group B (p < 0.05). There existed no statistical difference in the incidence of short-term and long-term complications between Group B and Group C (p > 0.05), but both were much lower than Group A (p < 0.05). The differences in POP-Q staging, PFDI-20 scale, and PISQ-12 scale were not statistically significant among the three groups before surgery (p > 0.05), and the POP-Q staging Aa, Ba, C, D, Ap, and Bp values, PFDI-20 scale, and PISQ-12 scale were strongly improved in three groups after the surgery (p < 0.05). However, the POP-Q staging, PFDI-20 scale, and PISQ-12 scale among the three groups had no obvious difference after the surgery (p > 0.05). CONCLUSIONS The efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for POP was comparable to that of laparoscopic Y-mesh treatment and laparoscopic sacral vaginal fixation. However, da Vinci's robotic sacral fixation had the advantages of less intraoperative bleeding and faster postoperative recovery, which helped patients recover quickly and improved their quality of life.
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Affiliation(s)
- W Wei
- Department of Obstetrics and Gynecology, Liuzhou Workers' Hospital, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
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Chen F, Zhao ZG, Yao YJ, Zhu ZK, Li X, Zheng MX, Zhou X, Peng Y, Wei JF, Wei X, Liang YJ, Chen G, Zhu T, Meng W, Feng Y, Chen M. [Feasibility and safety of transseptal transcatheter mitral valve replacement for severe mitral regurgitation]. Zhonghua Yi Xue Za Zhi 2023; 103:1849-1854. [PMID: 37357191 DOI: 10.3760/cma.j.cn112137-20221109-02359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
A prospective, single-center, single-arm, and open-design study was performed to evaluate the feasibility and safety of transseptal transcatheter mitral valve replacement in the treatment of severe mitral regurgitation. Patients with symptomatic moderate-severe or severe mitral regurgitation at high-surgical risk and anatomically appropriate for the HighLife transseptal mitral valve replacement (TSMVR) system in West China Hospital, Sichuan University from December 2021 to August 2022 were enrolled. Four patients (1 male and 3 females) with severe mitral regurgitation were included, with a median age of 68.5 (64.0-77.0) years and a median Society of Thoracic Surgeons (STS) score of 8.1% (6.4%-8.9%). Technical success was achieved in all the patients. There was no residual mitral regurgitation, paravalvular leakage, or left ventricular outflow tract obstruction. Three major cardiovascular and cerebrovascular adverse events occurred within 30 days after the procedure, including ventricular tachycardia, iatrogenic atrial septal defect closure, and heart failure readmission. The current study preliminarily demonstrates that transcatheter mitral valve replacement using the HighLife system via the transseptal approach for severe mitral regurgitation is feasible and relatively safe.
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Affiliation(s)
- F Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Z G Zhao
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y J Yao
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Z K Zhu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - M X Zheng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Zhou
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y Peng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - J F Wei
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X Wei
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y J Liang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - G Chen
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - T Zhu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - W Meng
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y Feng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - M Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
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Liu MF, Ma RX, Cao XB, Zhang H, Zhou SH, Jiang WH, Jiang Y, Sun JW, Yang QT, Li XZ, Sun YN, Shi L, Wang M, Song XC, Chen FQ, Zhang XS, Wei HQ, Yu SQ, Zhu DD, Ba L, Cao ZW, Xiao XP, Wei X, Lin ZH, Chen FH, Shan CG, Wang GK, Ye J, Qu SH, Zhao CQ, Wang ZL, Li HB, Liu F, Cui XB, Ye SN, Liu Z, Xu Y, Cai X, Hang W, Zhang RX, Zhao YL, Yu GD, Shi GG, Lu MP, Shen Y, Zhao YT, Pei JH, Xie SB, Yu LG, Liu YH, Gu SS, Yang YC, Cheng L, Liu JF. [Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:579-588. [PMID: 37339898 DOI: 10.3760/cma.j.cn115330-20230316-00117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
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Affiliation(s)
- M F Liu
- Graduate School of Beijing University of Chinese Medicine, Beijing 100029, China Department of Otorhinolaryngology Head and Neck Surgery, China-Japan Friendship Hospital, Beijing 100029, China
| | - R X Ma
- Department of Otorhinolaryngology Head and Neck Surgery, the First People's Hospital of Yinchuan, Yinchuan 750001, China
| | - X B Cao
- Department of Otorhinolaryngology, the First People's Hospital of Yunnan Province, Kunming 650100, China
| | - H Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - S H Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - W H Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, Xiangya Hospital Central South University, Changsha 410008, China
| | - Y Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J W Sun
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of USTC, Hefei 230001, China
| | - Q T Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - X Z Li
- Department of Otorhinolaryngology Head and Neck Surgery, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Y N Sun
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - L Shi
- Department of Rhinology and Allergy, Shandong Provincial ENT Hospital, Shandong University, Jinan 250299, China
| | - M Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University People's Hospital, Beijing 100032, China
| | - X C Song
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - F Q Chen
- Department of Otorhinolaryngology Head and Neck Surgery, Xijing Hospital, the Fourth Military Medical University, Xi'an 710032, China
| | - X S Zhang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - H Q Wei
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - S Q Yu
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical University, Shanghai 200065, China
| | - D D Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - L Ba
- Department of Otorhinolaryngology Head and Neck Surgery, Xizang Autonomous Region People's Hospital, Lasa 850000, China
| | - Z W Cao
- Department of Otorhinolaryngology Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - X P Xiao
- Department of Otorhinolaryngology Head and Neck Surgery, Hunan Provincial People's Hospital, Changsha 410005, China
| | - X Wei
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 570311, China
| | - Z H Lin
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310009, China
| | - F H Chen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - C G Shan
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - G K Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - J Ye
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - S H Qu
- Department of Otorhinolaryngology Head and Neck Surgery, Guangxi Zhuang Autonomous Region People's Hospital, Nanning 530021, China
| | - C Q Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, Shanxi Medical University Affiliated Second Hospital, Taiyuan 030001, China
| | - Z L Wang
- Department of Otorhinolaryngology Head and Neck Surgery, XuanWu Hospital, Capital Medical University, Beijing 100053, China
| | - H B Li
- Department of Otorhinolaryngology Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - F Liu
- Department of Otorhinolaryngology Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X B Cui
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010059, China
| | - S N Ye
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
| | - Z Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - X Cai
- Department of Otorhinolaryngology Head and Neck Surgery, Qinghai Provincial People's Hospital, Xining 810000, China
| | - W Hang
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin Huanhu Hospital, Tianjin 300350, China
| | - R X Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Y L Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - G D Yu
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China
| | - G G Shi
- Department of Otorhinolaryngology Head and Neck Surgery, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, Jinan 250021, China
| | - M P Lu
- Department of Otorhinolaryngology, the First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Y Shen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Y T Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, the First People's Hospital of Yinchuan, Yinchuan 750001, China
| | - J H Pei
- Department of Otorhinolaryngology, the First People's Hospital of Yunnan Province, Kunming 650100, China
| | - S B Xie
- Department of Otorhinolaryngology Head and Neck Surgery, Xiangya Hospital Central South University, Changsha 410008, China
| | - L G Yu
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Y H Liu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - S S Gu
- Department of Otorhinolaryngology Head and Neck Surgery, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Y C Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - L Cheng
- Department of Otorhinolaryngology, the First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China
| | - J F Liu
- Department of Otorhinolaryngology Head and Neck Surgery, China-Japan Friendship Hospital, Beijing 100029, China
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Christiaens G, Defurne M, Sokhan D, Achenbach P, Akbar Z, Amaryan MJ, Atac H, Avakian H, Gayoso CA, Baashen L, Baltzell NA, Barion L, Bashkanov M, Battaglieri M, Bedlinskiy I, Benkel B, Benmokhtar F, Bianconi A, Biselli AS, Bondi M, Booth WA, Bossù F, Boiarinov S, Brinkmann KT, Briscoe WJ, Bueltmann S, Bulumulla D, Burkert VD, Cao T, Carman DS, Carvajal JC, Celentano A, Chatagnon P, Chesnokov V, Chetry T, Ciullo G, Clash G, Cole PL, Contalbrigo M, Costantini G, D'Angelo A, Dashyan N, De Vita R, Deur A, Diehl S, Dilks C, Djalali C, Dupre R, Egiyan H, Ehrhart M, Alaoui AE, Fassi LE, Elouadrhiri L, Fegan S, Filippi A, Gates K, Gavalian G, Ghandilyan Y, Gilfoyle GP, Girod FX, Glazier DI, Golubenko AA, Gosta G, Gothe RW, Gotra Y, Griffioen KA, Guidal M, Hafidi K, Hakobyan H, Hattawy M, Hauenstein F, Hayward TB, Heddle D, Hobart A, Holmberg DE, Holtrop M, Ilieva Y, Ireland DG, Isupov EL, Jo HS, Keller D, Khachatryan M, Khanal A, Kim W, Kripko A, Kubarovsky V, Kuhn SE, Lagerquist V, Lanza L, Kabir ML, Leali M, Lee S, Lenisa P, Li X, Livingston K, MacGregor IJD, Marchand D, Mascagna V, Matousek G, McKinnon B, McLauchlin C, Meziani ZE, Migliorati S, Milner RG, Mineeva T, Mirazita M, Mokeev V, Molina E, Camacho CM, Nadel-Turonski P, Naidoo P, Neupane K, Niccolai S, Nicol M, Niculescu G, Osipenko M, Ouillon M, Pandey P, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Paul SJ, Phelps W, Pilleux N, Pokhrel M, Poudel J, Price JW, Prok Y, Radic A, Ramasubramanian N, Raue BA, Reed T, Richards J, Ripani M, Ritman J, Rossi P, Sabatié F, Salgado C, Schadmand S, Schmidt A, Scott MBC, Sharabian YG, Shirokov EV, Shrestha U, Simmerling P, Sparveris N, Spreafico M, Stepanyan S, Strakovsky II, Strauch S, Tan JA, Trotta N, Turisini M, Tyson R, Ungaro M, Vallarino S, Venturelli L, Voskanyan H, Voutier E, Watts DP, Wei X, Williams R, Wishart R, Wood MH, Zachariou N, Zhang J, Zhao ZW, Ziegler V, Zurek M. First CLAS12 Measurement of Deeply Virtual Compton Scattering Beam-Spin Asymmetries in the Extended Valence Region. Phys Rev Lett 2023; 130:211902. [PMID: 37295113 DOI: 10.1103/physrevlett.130.211902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/24/2023] [Accepted: 04/21/2023] [Indexed: 06/12/2023]
Abstract
Deeply virtual Compton scattering (DVCS) allows one to probe generalized parton distributions describing the 3D structure of the nucleon. We report the first measurement of the DVCS beam-spin asymmetry using the CLAS12 spectrometer with a 10.2 and 10.6 GeV electron beam scattering from unpolarized protons. The results greatly extend the Q^{2} and Bjorken-x phase space beyond the existing data in the valence region and provide 1600 new data points measured with unprecedented statistical uncertainty, setting new, tight constraints for future phenomenological studies.
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Affiliation(s)
- G Christiaens
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - D Sokhan
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Achenbach
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Akbar
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Ayerbe Gayoso
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - L Baashen
- Florida International University, Miami, Florida 33199, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - M Bashkanov
- University of York, York YO10 5DD, United Kingdom
| | | | - I Bedlinskiy
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - B Benkel
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondi
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - W A Booth
- University of York, York YO10 5DD, United Kingdom
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K-Th Brinkmann
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - S Bueltmann
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Cao
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - V Chesnokov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - T Chetry
- Florida International University, Miami, Florida 33199, USA
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Universita' di Ferrara, 44121 Ferrara, Italy
| | - G Clash
- University of York, York YO10 5DD, United Kingdom
| | - P L Cole
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Lamar University, 4400 MLK Boulevard, P.O. Box 10046, Beaumont, Texas 77710, USA
- Catholic University of America, Washington, D.C. 20064, USA
| | | | - G Costantini
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Dilks
- Duke University, Durham, North Carolina 27708-0305, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Dupre
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ehrhart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - K Gates
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - G Gavalian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - G Gosta
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Y Gotra
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - F Hauenstein
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Heddle
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - A Hobart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D E Holmberg
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - Y Ilieva
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Kripko
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Lagerquist
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - M Leali
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - S Lee
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Universita' di Ferrara, 44121 Ferrara, Italy
| | - X Li
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - V Mascagna
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
| | - G Matousek
- Duke University, Durham, North Carolina 27708-0305, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C McLauchlin
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Z E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - S Migliorati
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Molina
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - C Munoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Naidoo
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Nicol
- University of York, York YO10 5DD, United Kingdom
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Ouillon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Pandey
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
| | - L L Pappalardo
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
- Universita' di Ferrara, 44121 Ferrara, Italy
| | - R Paremuzyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Paul
- University of California Riverside, 900 University Avenue, Riverside, California 92521, USA
| | - W Phelps
- The George Washington University, Washington, D.C. 20052, USA
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - N Pilleux
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Pokhrel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Poudel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Radic
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | | | - B A Raue
- Florida International University, Miami, Florida 33199, USA
| | - Trevor Reed
- Florida International University, Miami, Florida 33199, USA
| | - J Richards
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- GSI Helmholtzzentrum fur Schwerionenforschung GmbH, D 64291 Darmstadt, Germany
- Institute fur Kernphysik (Juelich), 52428 Juelich, Germany
| | - P Rossi
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - S Schadmand
- GSI Helmholtzzentrum fur Schwerionenforschung GmbH, D 64291 Darmstadt, Germany
- Institute fur Kernphysik (Juelich), 52428 Juelich, Germany
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - M B C Scott
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E V Shirokov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P Simmerling
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - M Spreafico
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - J A Tan
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - N Trotta
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Turisini
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Vallarino
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Venturelli
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
- INFN, Sezione di Pavia, 27100 Pavia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Williams
- University of York, York YO10 5DD, United Kingdom
| | - R Wishart
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - Z W Zhao
- Old Dominion University, Norfolk, Virginia 23529, USA
- Duke University, Durham, North Carolina 27708-0305, USA
| | - V Ziegler
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439, USA
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Wei X, Bohrer B, Uttaro B, Juárez M. Evaluating the effect of temperature and multiple bends on an automated pork belly firmness conveyor belt classification system. Meat Sci 2023; 203:109222. [PMID: 37207549 DOI: 10.1016/j.meatsci.2023.109222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 04/07/2023] [Accepted: 05/10/2023] [Indexed: 05/21/2023]
Abstract
Skin-on, and bone-in bellies (n = 94) were cut into Canadian specifications and assessed on an automated conveyor belt system based on different levels of firmness. Temperature settings at 4 °C, 2 °C, and - 1.5 °C had significant effect (P < 0.05) on the bending angle, after 24 cm of the belly had passed the nosebar. The stepwise regression relationship had R2 ∼ 0.18-0.67 between iodine value and bending angle at all temperatures. Bending bellies multiple times changed firmness classification of bellies at 4 and 2 °C, but bend number did not influence firmness classification at -1.5 °C. The automated conveyer belt system presented the potential to classify pork bellies based on firmness for industrial applications.
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Affiliation(s)
- X Wei
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada; University of Guelph, Guelph, ON N1G 2W1, Canada
| | - B Bohrer
- The Ohio State University, Columbus, OH 43210, USA
| | - B Uttaro
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada
| | - M Juárez
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada.
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44
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Gao J, Luo K, Wei X, Wang H, Liu H, Zhou Y. Rh(III)-Catalyzed Successive C-H Activations of 2-Phenyl-3 H-indoles and Cyclization Cascades to Construct Highly Fused Indole Heteropolycycles. Org Lett 2023; 25:3341-3346. [PMID: 37144839 DOI: 10.1021/acs.orglett.3c00445] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Rh(III)-catalyzed successive C-H activations of 2-phenyl-3H-indoles and cyclization cascades with diazo compounds were developed to construct highly fused indole heteropolycycles with a broad range of substrates and good yields. In particular, this transformation included two successive C-H activations and unusual [3+3] and [4+2] sequential cyclization cascades, in which the diazo compound played a different role in the two cyclization processes, while simultaneously forming a highly fused polycyclic indole scaffold with a new quaternary carbon center.
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Affiliation(s)
- Ju Gao
- College of Pharmacy, Weifang Medical College, Weifang 261053, China
- Drug Discovery & Development Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Keyu Luo
- Drug Discovery & Development Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohui Wei
- Drug Discovery & Development Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Hao Wang
- Drug Discovery & Development Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Hong Liu
- College of Pharmacy, Weifang Medical College, Weifang 261053, China
- Drug Discovery & Development Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhou
- Drug Discovery & Development Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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45
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Wang Y, Zhang Y, Han J, Chen Y, Li L, Wei X, Fu G. Diabetes knowledge and training needs among non-endocrinology nurses. Heliyon 2023; 9:e15985. [PMID: 37215767 PMCID: PMC10196786 DOI: 10.1016/j.heliyon.2023.e15985] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 04/27/2023] [Accepted: 04/28/2023] [Indexed: 05/24/2023] Open
Abstract
Background It is necessary to determine the diabetes knowledge level among non-endocrinology nurses in primary care hospitals to develop continuing education strategies. Method A questionnaire survey was conducted among 6819 non-endocrinology nurses in 70 primary hospitals in the Guangxi Zhuang Autonomous Region to assess their diabetes knowledge level and training needs. Factors affecting knowledge level were analyzed using multiple linear regression models. Results Diabetes knowledge was low, particularly for diabetes monitoring. Knowledge was higher in nurses who had in-service education and training in diabetes; most believed that training was necessary and hoped to improve their ability to care for diabetic patients. The most suitable training method was considered to be each nurse was taught by an assigned person after centralized specialized education and training. Conclusion Non-endocrinology nurses in primary care hospitals lack knowledge of diabetes and have a strong need for training. Systematic training is required to ensure that patients receive high-quality and comprehensive care.
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Affiliation(s)
- Yudong Wang
- School of Nursing, Youjiang Medical University for Nationalities, Baise, China
- Department of Nursing, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Department of Nursing, Liaocheng People's Hospital, Liaocheng, China
| | - Yanping Zhang
- Department of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Jiaxia Han
- Department of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yongfeng Chen
- Department of Nursing, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Lirong Li
- Clinical Tumor Center, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Xiaohui Wei
- School of Nursing, Youjiang Medical University for Nationalities, Baise, China
- Department of Nursing, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guifen Fu
- Department of Nursing, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
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46
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Song Z, Kang X, Wei X, Liu H, Dian R, Li S. FSNet: Focus Scanning Network for Camouflaged Object Detection. IEEE Trans Image Process 2023; 32:2267-2278. [PMID: 37067971 DOI: 10.1109/tip.2023.3266659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Camouflaged object detection (COD) aims to discover objects that blend in with the background due to similar colors or textures, etc. Existing deep learning methods do not systematically illustrate the key tasks in COD, which seriously hinders the improvement of its performance. In this paper, we introduce the concept of focus areas that represent some regions containing discernable colors or textures, and develop a two-stage focus scanning network for camouflaged object detection. Specifically, a novel encoder-decoder module is first designed to determine a region where the focus areas may appear. In this process, a multi-layer Swin transformer is deployed to encode global context information between the object and the background, and a novel cross-connection decoder is proposed to fuse cross-layer textures or semantics. Then, we utilize the multi-scale dilated convolution to obtain discriminative features with different scales in focus areas. Meanwhile, the dynamic difficulty aware loss is designed to guide the network paying more attention to structural details. Extensive experimental results on the benchmarks, including CAMO, CHAMELEON, COD10K, and NC4K, illustrate that the proposed method performs favorably against other state-of-the-art methods.
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47
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Chetry T, El Fassi L, Brooks WK, Dupré R, El Alaoui A, Hafidi K, Achenbach P, Adhikari KP, Akbar Z, Armstrong WR, Arratia M, Atac H, Avakian H, Baashen L, Baltzell NA, Barion L, Bashkanov M, Battaglieri M, Bedlinskiy I, Benkel B, Benmokhtar F, Bianconi A, Biselli AS, Bondi M, Booth WA, Bossù F, Boiarinov S, Brinkmann KT, Briscoe WJ, Bulumulla D, Burkert VD, Carman DS, Carvajal JC, Celentano A, Chatagnon P, Chesnokov V, Ciullo G, Cole PL, Contalbrigo M, Costantini G, D'Angelo A, Dashyan N, De Vita R, Defurne M, Deur A, Diehl S, Djalali C, Egiyan H, Elouadrhiri L, Eugenio P, Fegan S, Filippi A, Gavalian G, Ghandilyan Y, Gilfoyle GP, Glazier DI, Golubenko AA, Gosta G, Gothe RW, Griffioen KA, Guidal M, Guo L, Hakobyan H, Hattawy M, Hayward TB, Heddle D, Hobart A, Holtrop M, Ilieva Y, Ireland DG, Isupov EL, Jenkins D, Jo HS, Kabir ML, Khanal A, Khandaker M, Kim A, Kim W, Klein FJ, Kripko A, Kubarovsky V, Lagerquist V, Lanza L, Leali M, Lee S, Lenisa P, Li X, Livingston K, MacGregor IJD, Marchand D, Mascagna V, McKinnon B, McLauchlin C, Meziani ZE, Migliorati S, Mineeva T, Mirazita M, Mokeev V, Munoz Camacho C, Nadel-Turonski P, Neupane K, Niccolai S, Nicol M, Niculescu G, Osipenko M, Ostrovidov AI, Pandey P, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Paul SJ, Phelps W, Pilleux N, Pokhrel M, Poudel J, Price JW, Prok Y, Raue BA, Reed T, Richards J, Ripani M, Ritman J, Rosner G, Sabatié F, Salgado C, Schadmand S, Schmidt A, Schumacher RA, Sharabian YG, Shirokov EV, Shrestha U, Simmerling P, Sokhan D, Sparveris N, Stepanyan S, Strakovsky II, Strauch S, Tan JA, Trotta N, Tyson R, Ungaro M, Vallarino S, Venturelli L, Voskanyan H, Voutier E, Wei X, Weinstein LB, Williams R, Wishart R, Wood MH, Yurov M, Zachariou N, Zhao ZW, Zurek M. First Measurement of Λ Electroproduction off Nuclei in the Current and Target Fragmentation Regions. Phys Rev Lett 2023; 130:142301. [PMID: 37084423 DOI: 10.1103/physrevlett.130.142301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/01/2023] [Accepted: 02/24/2023] [Indexed: 05/03/2023]
Abstract
We report results of Λ hyperon production in semi-inclusive deep-inelastic scattering off deuterium, carbon, iron, and lead targets obtained with the CLAS detector and the Continuous Electron Beam Accelerator Facility 5.014 GeV electron beam. These results represent the first measurements of the Λ multiplicity ratio and transverse momentum broadening as a function of the energy fraction (z) in the current and target fragmentation regions. The multiplicity ratio exhibits a strong suppression at high z and an enhancement at low z. The measured transverse momentum broadening is an order of magnitude greater than that seen for light mesons. This indicates that the propagating entity interacts very strongly with the nuclear medium, which suggests that propagation of diquark configurations in the nuclear medium takes place at least part of the time, even at high z. The trends of these results are qualitatively described by the Giessen Boltzmann-Uehling-Uhlenbeck transport model, particularly for the multiplicity ratios. These observations will potentially open a new era of studies of the structure of the nucleon as well as of strange baryons.
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Affiliation(s)
- T Chetry
- Florida International University, Miami, Florida 33199, USA
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - W K Brooks
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Universidad Técnica Federico Santa María, Casilla, 110-V Valparaíso, Chile
- Center for Science and Technology of Valparaíso, 699 Valparaíso, Chile
- SAPHIR Millennium Science Institute, Santiago, Chile
| | - R Dupré
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla, 110-V Valparaíso, Chile
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Achenbach
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K P Adhikari
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - Z Akbar
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - W R Armstrong
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - M Arratia
- University of California Riverside, 900 University Avenue, Riverside, California 92521, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Baashen
- Florida International University, Miami, Florida 33199, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - M Bashkanov
- University of York, York YO10 5DD, United Kingdom
| | | | - I Bedlinskiy
- National Research Centre Kurchatov Institute - ITEP, Moscow 117259, Russia
| | - B Benkel
- Universidad Técnica Federico Santa María, Casilla, 110-V Valparaíso, Chile
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - A S Biselli
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondi
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - W A Booth
- University of York, York YO10 5DD, United Kingdom
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K-Th Brinkmann
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Chesnokov
- Ohio University, Athens, Ohio 45701, USA
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - G Ciullo
- Universita' di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - P L Cole
- Catholic University of America, Washington, D.C. 20064, USA
- Lamar University, 4400 MLK Boulevard, P.O. Box 10046, Beaumont, Texas 77710, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - G Costantini
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - G Gavalian
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - G Gosta
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla, 110-V Valparaíso, Chile
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Hobart
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - Y Ilieva
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Tech, Blacksburg, Virginia 24061-0435, USA
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - F J Klein
- Catholic University of America, Washington, D.C. 20064, USA
| | - A Kripko
- II Physikalisches Institut der Universitaet Giessen, 35392 Giessen, Germany
| | - V Kubarovsky
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Lagerquist
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - S Lee
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Lenisa
- Universita' di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - X Li
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - D Marchand
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C McLauchlin
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Z E Meziani
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Migliorati
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla, 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Munoz Camacho
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Nicol
- University of York, York YO10 5DD, United Kingdom
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - P Pandey
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Paolone
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
| | - L L Pappalardo
- Universita' di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Paul
- University of California Riverside, 900 University Avenue, Riverside, California 92521, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
- The George Washington University, Washington, D.C. 20052, USA
| | - N Pilleux
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Pokhrel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Poudel
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - B A Raue
- Florida International University, Miami, Florida 33199, USA
| | - T Reed
- Florida International University, Miami, Florida 33199, USA
| | - J Richards
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- GSI Helmholtzzentrum fur Schwerionenforschung GmbH, D-64291 Darmstadt, Germany
- Institut fur Kernphysik (Juelich), Juelich 52428, Germany
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - S Schadmand
- GSI Helmholtzzentrum fur Schwerionenforschung GmbH, D-64291 Darmstadt, Germany
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E V Shirokov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - U Shrestha
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P Simmerling
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Sokhan
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- The George Washington University, Washington, D.C. 20052, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - J A Tan
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - N Trotta
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Vallarino
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Venturelli
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Universit'a degli Studi di Brescia, 25123 Brescia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- Universit'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - R Williams
- University of York, York YO10 5DD, United Kingdom
| | - R Wishart
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Yurov
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - Z W Zhao
- Duke University, Durham, North Carolina 27708-0305, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439, USA
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Wang Y, Shang Y, Tang F, Qiu K, Wei X, Wang Z. Self-Double-Emulsifying Drug Delivery System Enteric-Coated Capsules: A Novel Approach to Improve Oral Bioavailability and Anti-inflammatory Activity of Panax notoginseng Saponins. AAPS PharmSciTech 2023; 24:90. [PMID: 36977927 DOI: 10.1208/s12249-023-02549-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/16/2023] [Indexed: 03/30/2023] Open
Abstract
In this work, self-double-emulsifying drug delivery system enteric-coated capsules (PNS-SDE-ECC) were used to enhance the oral bioavailability and anti-inflammatory effects of Panax notoginseng saponins (PNS), which are rapidly biodegradable, poorly membrane permeable, and highly water-soluble compounds. The PNS-SDEDDS formulated by a modified two-step method spontaneously emulsified to W/O/W double emulsions in the outer aqueous solution, which significantly promoted the absorption of PNS in the intestinal tract. The release study revealed that PNS-SDE-ECC exhibited sustained release of PNS within 24 h and the stability study indicated that PNS-SDE-ECC were stable at room temperature for up to 3 months. Furthermore, compared to PNS gastric capsules, the relative bioavailability of NGR1, GRg1, GRe, GRb1, and GRd in PNS-SDE-ECC was increased by 4.83, 10.78, 9.25, 3.58, and 4.63 times, respectively. More importantly, PNS-SDE-ECC significantly reduced OXZ-induced inflammatory damage in the colon by regulating the expression of TNF-α, IL-4, IL-13, and MPO cytokines. Overall, the prepared PNS-SDE-ECC may serve as a viable vehicle for increasing the oral bioavailability of PNS and its anti-inflammatory action on ulcerative colitis.
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Affiliation(s)
- Yaru Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SHTCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, China
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, 201210, China
| | - Yunxia Shang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SHTCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, China
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, 201210, China
| | - Fengyu Tang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SHTCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, China
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, 201210, China
| | - Kun Qiu
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SHTCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, China
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, 201210, China
| | - Xiaohui Wei
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SHTCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, China.
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, 201210, China.
| | - Zhengtao Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines and the SHTCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, China
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, 201210, China
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Wei X, Lu T, Li S. Intrinsic Graph Learning With Discrete Constrained Diffusion-Fusion. IEEE Trans Neural Netw Learn Syst 2023; 34:1613-1626. [PMID: 34432641 DOI: 10.1109/tnnls.2021.3105678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Graphs are essential to improve the performance of graph-based machine learning methods, such as spectral clustering. Various well-designed methods have been proposed to learn graphs that depict specific properties of real-world data. Joint learning of knowledge in different graphs is an effective means to uncover the intrinsic structure of samples. However, the existing methods fail to simultaneously mine the global and local information related to sample structure and distribution when multiple graphs are available, and further research is needed. Hence, we propose a novel intrinsic graph learning (IGL) with discrete constrained diffusion-fusion to solve the above problem in this article. In detail, given a set of the predefined graphs, IGL first obtains the graph encoding the global high-order manifold structure via the diffusion-fusion mechanism based on the tensor product graph. Then, two discrete operators are integrated to fine-prune the obtained graph. One of them limits the maximum number of neighbors connected to each sample, thereby removing redundant and erroneous edges. The other one forces the rank of the Laplacian matrix of the obtained graph to be equal to the number of sample clusters, which guarantees that samples from the same subgraph belong to the same cluster and vice versa. Moreover, a new strategy of weight learning is designed to accurately quantify the contribution of pairwise predefined graphs in the optimization process. Extensive experiments on six single-view and two multiview datasets have demonstrated that our proposed method outperforms the previous state-of-the-art methods on the clustering task.
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50
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Gong QM, Ling JQ, Wei X. [Research progress in the pathogenesis mechanism of dental fluorosis]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:217-223. [PMID: 36854421 DOI: 10.3760/cma.j.cn112144-20221013-00526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Dental fluorosis is a developmental disturbance of dental enamel caused by excessive fluoride intake during tooth development, leading to the changes in morphology, structure and function of tooth enamel, which can affect the aesthetics and function of teeth. There are many factors which may account for the occurrence of dental fluorosis. However, the pathogenesis mechanism underlying dental fluorosis has not been fully clarified.In recent years, researches in the fields of fluoride-induced stress response pathways, signaling pathways and apoptosis at the molecular and genetic level had provided extensive knowledge of dental fluorosis. This article focuses on the latest research progress in the mechanism of dental fluorosis, which include the effects of fluoride on ameloblasts and enamel matrix proteins, genetic polymorphism and dietary nutrients, in order to provide new references for the targeted prevention and treatment of dental fluorosis.
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Affiliation(s)
- Q M Gong
- Department of Operative Dentistry and Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
| | - J Q Ling
- Department of Operative Dentistry and Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
| | - X Wei
- Department of Operative Dentistry and Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
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