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Yao QY, Zhong Z, Li ZH, Liu B, Mao XH, Lyu P. [Efficacy analysis of 7 cases of mixed neuroendocrine-nonneuroendocrine neoplasm of the duodenal papilla]. Zhonghua Yi Xue Za Zhi 2024; 104:1418-1421. [PMID: 38644293 DOI: 10.3760/cma.j.cn112137-20231204-01284] [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: 04/23/2024]
Abstract
The clinical data of 7 patients diagnosed with mixed neuroendocrine-nonneuroendocrine neoplasm were analyzed in the Department of Hepatobiliary Surgery of Hunan Provincial People's Hospital from January 2016 to December 2022. Among the 7 patients, 5 were male and 2 were female, with an average age of 59.3 years. Its clinical characteristics are similar to malignant ampulla tumors, and it is difficult to differentiate them. The preoperative puncture biopsy positivity rate is low, making it difficult to diagnose preoperatively, and the prognosis is worse.Comprehensive treatment including surgery, chemotherapy, and radiotherapy can be the preferred treatment option for this disease.
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Affiliation(s)
- Q Y Yao
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Hunan Normal University,Hunan Provincial People's Hospital, Changsha 410005, China
| | - Z Zhong
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Hunan Normal University,Hunan Provincial People's Hospital, Changsha 410005, China
| | - Z H Li
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Hunan Normal University,Hunan Provincial People's Hospital, Changsha 410005, China
| | - B Liu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Hunan Normal University,Hunan Provincial People's Hospital, Changsha 410005, China
| | - X H Mao
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Hunan Normal University,Hunan Provincial People's Hospital, Changsha 410005, China
| | - P Lyu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Hunan Normal University,Hunan Provincial People's Hospital, Changsha 410005, China
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Jiao Z, Huang K, Wang Q, Jia G, Zhong Z, Cai Y. Improved REBA: deep learning based rapid entire body risk assessment for prevention of musculoskeletal disorders. Ergonomics 2024:1-15. [PMID: 38423143 DOI: 10.1080/00140139.2024.2306315] [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: 03/02/2024]
Abstract
Preventing work-related musculoskeletal disorders (WMSDs) is crucial in reducing their impact on individuals and society. However, the existing mainstream 2D image-based approach is insufficient in capturing the complex 3D movements and postures involved in many occupational tasks. To address this, an improved deep learning-based rapid entire body assessment (REBA) method has been proposed. The method takes working videos as input and automatically outputs the corresponding REBA score through 3D pose reconstruction. The proposed method achieves an average precision of 94.7% on real-world data, which is comparable to that of ergonomic experts. Furthermore, the method has the potential to be applied across a wide range of industries as it has demonstrated good generalisation in multiple scenarios. The proposed method offers a promising solution for automated and accurate risk assessment of WMSDs, with implications for various industries to ensure the safety and well-being of workers.
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Affiliation(s)
- Zeyu Jiao
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Kai Huang
- School of Economics and Management, Beihang University, Beijing, China
| | - Qun Wang
- School of Economics and Management, Beihang University, Beijing, China
| | - Guozhu Jia
- School of Economics and Management, Beihang University, Beijing, China
| | - Zhenyu Zhong
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Yingjie Cai
- Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China
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Finnegan OL, White JW, Armstrong B, Adams EL, Burkart S, Beets MW, Nelakuditi S, Willis EA, von Klinggraeff L, Parker H, Bastyr M, Zhu X, Zhong Z, Weaver RG. The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review. Syst Rev 2024; 13:61. [PMID: 38331893 PMCID: PMC10851515 DOI: 10.1186/s13643-024-02451-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/03/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Objective measures of screen time are necessary to better understand the complex relationship between screen time and health outcomes. However, current objective measures of screen time (e.g., passive sensing applications) are limited in identifying the user of the mobile device, a critical limitation in children's screen time research where devices are often shared across a family. Behavioral biometrics, a technology that uses embedded sensors on modern mobile devices to continuously authenticate users, could be used to address this limitation. OBJECTIVE The purpose of this scoping review was to summarize the current state of behavioral biometric authentication and synthesize these findings within the scope of applying behavioral biometric technology to screen time measurement. METHODS We systematically searched five databases (Web of Science Core Collection, Inspec in Engineering Village, Applied Science & Technology Source, IEEE Xplore, PubMed), with the last search in September of 2022. Eligible studies were on the authentication of the user or the detection of demographic characteristics (age, gender) using built-in sensors on mobile devices (e.g., smartphone, tablet). Studies were required to use the following methods for authentication: motion behavior, touch, keystroke dynamics, and/or behavior profiling. We extracted study characteristics (sample size, age, gender), data collection methods, data stream, model evaluation metrics, and performance of models, and additionally performed a study quality assessment. Summary characteristics were tabulated and compiled in Excel. We synthesized the extracted information using a narrative approach. RESULTS Of the 14,179 articles screened, 122 were included in this scoping review. Of the 122 included studies, the most highly used biometric methods were touch gestures (n = 76) and movement (n = 63), with 30 studies using keystroke dynamics and 6 studies using behavior profiling. Of the studies that reported age (47), most were performed exclusively in adult populations (n = 34). The overall study quality was low, with an average score of 5.5/14. CONCLUSION The field of behavioral biometrics is limited by the low overall quality of studies. Behavioral biometric technology has the potential to be used in a public health context to address the limitations of current measures of screen time; however, more rigorous research must be performed in child populations first. SYSTEMATIC REVIEW REGISTRATION The protocol has been pre-registered in the Open Science Framework database ( https://doi.org/10.17605/OSF.IO/92YCT ).
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Affiliation(s)
- O L Finnegan
- Department of Exercise Science, University of South Carolina, Columbia, USA.
| | - J W White
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - B Armstrong
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - E L Adams
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - S Burkart
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - M W Beets
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - S Nelakuditi
- Department of Computer Science and Engineering, University of South Carolina, Columbia, USA
| | - E A Willis
- Center for Health Promotion and Disease Prevention, University of North Carolina Chapel Hill, Chapel Hill, USA
| | - L von Klinggraeff
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - H Parker
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - M Bastyr
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - X Zhu
- Department of Exercise Science, University of South Carolina, Columbia, USA
| | - Z Zhong
- Department of Computer Science and Engineering, University of South Carolina, Columbia, USA
| | - R G Weaver
- Department of Exercise Science, University of South Carolina, Columbia, USA
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Huang K, Jia G, Wang Q, Cai Y, Zhong Z, Jiao Z. Spatial relationship-aware rapid entire body fuzzy assessment method for prevention of work-related musculoskeletal disorders. Appl Ergon 2024; 115:104176. [PMID: 38000136 DOI: 10.1016/j.apergo.2023.104176] [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: 01/03/2023] [Revised: 10/18/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023]
Abstract
In the advent of Industry 5.0, advances in human-centered smart manufacturing (HSM) accentuate the role of humans in human-machine collaboration. This development has catapulted human health in human-machine systems to the forefront of the conversation. Although various tools have emerged to mitigate work-related musculoskeletal disorders (WMSDs), combining biomechanics with human morphology, the extant methods primarily hinge on expert scoring. Such methods display a step-wise change between risk levels, yielding inadequate assessment accuracy and posing challenges to human health assurance in HSM. To address these issues, this study proposes a spatial relationship-aware rapid entire body fuzzy assessment technique. The proposed method enhances the rapid entire body assessment (REBA) by enacting a dynamic evaluation of WMSD-related risk via a deep learning-based 3D pose reconstruction. Contrary to the step-wise transitions between REBA's different risk levels, the proposed method actualizes a fuzzy assessment of WMSD risk by introducing weights between these levels. This innovation allows for a more accurate risk assessment for workers engaged in HSM. Validation through experiments conducted on data from an automobile production line demonstrates that the proposed method can achieve a precision rate of 99.31%. Demo videos and code are available at https://github.com/giim-hf-lab/REBA-PLUS.
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Affiliation(s)
- Kai Huang
- School of Economics and Management, Beihang University, Beijing, China
| | - Guozhu Jia
- School of Economics and Management, Beihang University, Beijing, China
| | - Qun Wang
- School of Economics and Management, Beihang University, Beijing, China; The Logistics Institute - Asia Pacific, National University of Singapore, Singapore
| | - Yingjie Cai
- Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhenyu Zhong
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Zeyu Jiao
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, Guangdong, China.
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Cui X, Zhong Z, Xie X, Jiang P. Sorptive removal of cadmium using the attapulgite modified by the combination of calcination and iron. Environ Sci Pollut Res Int 2023; 30:120820-120831. [PMID: 37943435 DOI: 10.1007/s11356-023-30323-z] [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] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 10/03/2023] [Indexed: 11/10/2023]
Abstract
Sorptive removal of cadmium (Cd) from the aqueous solutions using the easily available natural materials is an attractive method. However, the adsorption efficiencies of these materials, such as clays, are typically low. Besides, they are generally in relatively low stability and renewability, which restrict their application. Thus, modification of these materials to enhance their performance on Cd removal has gained growing attentions. Herein, the integration of calcination and ferric chloride (FeCl3) was used to modify a typical clay, i.e., attapulgite, to increase the adsorption sites, and thus to develop a robust adsorbent for Cd. Under the optimum conditions for attapulgite modification (i.e., the mass ratio of FeCl3 to attapulgite was 1:2, calcination temperature was 350 °C, and calcination time was 1.5 h) and Cd adsorption (i.e., initial pH of 6.0, adsorption temperature of 25 °C, and adsorbent dosage of 1.0 g/L), the maximum adsorption capacity of the modified attapulgite toward Cd was 149.9 mg/g. Mechanisms of surface complexation and electrostatic attraction were involved in the efficient removal of Cd. The adsorption of Cd increased with pH due to the increased electrostatic attraction. Metal cations inhibited the Cd adsorption through competing with the adsorption sites. The changes of Gibbs-free energy during the adsorption of Cd were lower than zero and decreased with temperature, suggesting the process was spontaneous and endothermic. The removal efficiency of Cd after 5 times of recycle maintained at 82% of that of the raw modified attapulgite demonstrated the stability of the adsorbent. These results suggested that the modified attapulgite is robust for Cd removal and is promising for land application.
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Affiliation(s)
- Xiaochuan Cui
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, China
| | - Zhenyu Zhong
- Hunan Research Academy of Environmental Sciences, Changsha, 410002, China
| | - Xiande Xie
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, China.
| | - Pinghong Jiang
- Hunan Research Academy of Environmental Sciences, Changsha, 410002, China
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Chen S, Sui Y, Ding S, Chen C, Liu C, Zhong Z, Liang Y, Kong Q, Tang W, Guo Y. A simple and convenient model combining multiparametric MRI and clinical features to predict tumour-infiltrating lymphocytes in breast cancer. Clin Radiol 2023; 78:e1065-e1074. [PMID: 37813758 DOI: 10.1016/j.crad.2023.08.029] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 10/11/2023]
Abstract
AIM To develop a simple and convenient method based on multiparametric magnetic resonance imaging (MRI) and clinical features to non-invasively predict tumour-infiltrating lymphocytes (TILs) in breast cancer (BC) and to explore the relationship between TIL levels and disease-free survival (DFS). MATERIALS AND METHODS A total of 172 BC patients were enrolled between November 2017 and June 2021 in this retrospective study. The patients were divided into high (≥10%) and low (<10%) TIL groups. Clinicopathological data were collected. MRI features were reviewed by two radiologists. Predictors associated with TILs were determined by using multivariable logistic regression analyses. Kaplan-Meier survival curves based on TIL levels were used to estimate DFS. RESULTS A total of 102 patients with low TILs and 70 patients with high TILs were included in the study. Tumour size (odds ratio [OR], 1.040; 95% confidence interval [CI]: 1.006, 1.075; p=0.020), apparent diffusion coefficient (ADC; OR, 1.003; 95% CI: 1.001, 1.005; p=0.015), clinical axillary lymph node status (CALNS; OR, 3.222; 95% CI: 1.372,7.568; p=0.007), and enhancement pattern (OR, 0.284; 95% CI: 0.143, 0.563; p<0.001) were independently associated with TIL levels. These features were used in the ALSE model (where A is ADC, L is CALNS, S is size, and E is enhancement pattern). High TILs were associated with better DFS (p=0.016). CONCLUSION The ALSE model derived from multiparametric MRI and clinical features could non-invasively predict TIL levels in BC, and high TILs were associated with longer DFS, especially in human epidermal growth factor receptor 2 (HER2)-positive BC and triple-negative BC (TNBC).
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Affiliation(s)
- S Chen
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - Y Sui
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China; Department of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou, 510005, China
| | - S Ding
- Department of Radiology, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, 545006, China
| | - C Chen
- Department of Pathology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - C Liu
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z Zhong
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - Y Liang
- Department of Pathology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - Q Kong
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
| | - W Tang
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China.
| | - Y Guo
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China.
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7
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Robinson ML, Hahn PG, Inouye BD, Underwood N, Whitehead SR, Abbott KC, Bruna EM, Cacho NI, Dyer LA, Abdala-Roberts L, Allen WJ, Andrade JF, Angulo DF, Anjos D, Anstett DN, Bagchi R, Bagchi S, Barbosa M, Barrett S, Baskett CA, Ben-Simchon E, Bloodworth KJ, Bronstein JL, Buckley YM, Burghardt KT, Bustos-Segura C, Calixto ES, Carvalho RL, Castagneyrol B, Chiuffo MC, Cinoğlu D, Cinto Mejía E, Cock MC, Cogni R, Cope OL, Cornelissen T, Cortez DR, Crowder DW, Dallstream C, Dáttilo W, Davis JK, Dimarco RD, Dole HE, Egbon IN, Eisenring M, Ejomah A, Elderd BD, Endara MJ, Eubanks MD, Everingham SE, Farah KN, Farias RP, Fernandes AP, Fernandes GW, Ferrante M, Finn A, Florjancic GA, Forister ML, Fox QN, Frago E, França FM, Getman-Pickering AS, Getman-Pickering Z, Gianoli E, Gooden B, Gossner MM, Greig KA, Gripenberg S, Groenteman R, Grof-Tisza P, Haack N, Hahn L, Haq SM, Helms AM, Hennecke J, Hermann SL, Holeski LM, Holm S, Hutchinson MC, Jackson EE, Kagiya S, Kalske A, Kalwajtys M, Karban R, Kariyat R, Keasar T, Kersch-Becker MF, Kharouba HM, Kim TN, Kimuyu DM, Kluse J, Koerner SE, Komatsu KJ, Krishnan S, Laihonen M, Lamelas-López L, LaScaleia MC, Lecomte N, Lehn CR, Li X, Lindroth RL, LoPresti EF, Losada M, Louthan AM, Luizzi VJ, Lynch SC, Lynn JS, Lyon NJ, Maia LF, Maia RA, Mannall TL, Martin BS, Massad TJ, McCall AC, McGurrin K, Merwin AC, Mijango-Ramos Z, Mills CH, Moles AT, Moore CM, Moreira X, Morrison CR, Moshobane MC, Muola A, Nakadai R, Nakajima K, Novais S, Ogbebor CO, Ohsaki H, Pan VS, Pardikes NA, Pareja M, Parthasarathy N, Pawar RR, Paynter Q, Pearse IS, Penczykowski RM, Pepi AA, Pereira CC, Phartyal SS, Piper FI, Poveda K, Pringle EG, Puy J, Quijano T, Quintero C, Rasmann S, Rosche C, Rosenheim LY, Rosenheim JA, Runyon JB, Sadeh A, Sakata Y, Salcido DM, Salgado-Luarte C, Santos BA, Sapir Y, Sasal Y, Sato Y, Sawant M, Schroeder H, Schumann I, Segoli M, Segre H, Shelef O, Shinohara N, Singh RP, Smith DS, Sobral M, Stotz GC, Tack AJM, Tayal M, Tooker JF, Torrico-Bazoberry D, Tougeron K, Trowbridge AM, Utsumi S, Uyi O, Vaca-Uribe JL, Valtonen A, van Dijk LJA, Vandvik V, Villellas J, Waller LP, Weber MG, Yamawo A, Yim S, Zarnetske PL, Zehr LN, Zhong Z, Wetzel WC. Plant size, latitude, and phylogeny explain within-population variability in herbivory. Science 2023; 382:679-683. [PMID: 37943897 DOI: 10.1126/science.adh8830] [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: 03/26/2023] [Accepted: 09/27/2023] [Indexed: 11/12/2023]
Abstract
Interactions between plants and herbivores are central in most ecosystems, but their strength is highly variable. The amount of variability within a system is thought to influence most aspects of plant-herbivore biology, from ecological stability to plant defense evolution. Our understanding of what influences variability, however, is limited by sparse data. We collected standardized surveys of herbivory for 503 plant species at 790 sites across 116° of latitude. With these data, we show that within-population variability in herbivory increases with latitude, decreases with plant size, and is phylogenetically structured. Differences in the magnitude of variability are thus central to how plant-herbivore biology varies across macroscale gradients. We argue that increased focus on interaction variability will advance understanding of patterns of life on Earth.
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Affiliation(s)
- M L Robinson
- Department of Entomology, Michigan State University, East Lansing, MI, USA
- Department of Biology, Utah State University, Logan, UT, USA
| | - P G Hahn
- Entomology and Nematology Department, University of Florida, Gainesville, FL, USA
| | - B D Inouye
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - N Underwood
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - S R Whitehead
- Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - K C Abbott
- Department of Biology, Case Western Reserve University, Cleveland, OH, USA
| | - E M Bruna
- Center for Latin American Studies, University of Florida, Gainesville, FL, USA
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA
| | - N I Cacho
- Instituto de Biología, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - L A Dyer
- Biology Department, University of Nevada, Reno, Reno, NV, USA
| | - L Abdala-Roberts
- Departamento de Ecología Tropical, Universidad Autónoma de Yucatán, Mérida, Yucatán, México
| | - W J Allen
- Bio-Protection Research Centre, University of Canterbury, Christchurch, New Zealand
| | - J F Andrade
- Departamento de Sistemática e Ecologia Universidade Federal da Paraíba, João Pessoa, Brazil
| | - D F Angulo
- Centro de Investigación Científica de Yucatán, Departamento de Recursos Naturales, Mérida, Yucatán, México
| | - D Anjos
- Instituto de Biologia, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil
| | - D N Anstett
- Department of Entomology, Michigan State University, East Lansing, MI, USA
- Plant Resilience Institute, Michigan State University, East Lansing, MI, USA
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
| | - R Bagchi
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - S Bagchi
- Centre for Ecological Sciences, Indian Institute of Science, Bangalore, Karnataka, India
| | - M Barbosa
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - S Barrett
- Department of Biodiversity Conservation & Attractions Western Australia, Albany, Western Australia, Australia
| | - C A Baskett
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - E Ben-Simchon
- Department of Natural Resources, Institute of Plant Sciences, Agricultural Research Organization - Volcani Institute, Rishon Le Tzion, Israel
- Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - K J Bloodworth
- Department of Biology, University of North Carolina Greensboro, Greensboro, NC, USA
| | - J L Bronstein
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Y M Buckley
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland
| | - K T Burghardt
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - C Bustos-Segura
- Institute of Biology, University of Neuchatel, Neuchatel, Switzerland
| | - E S Calixto
- Entomology and Nematology Department, University of Florida, Gainesville, FL, USA
| | - R L Carvalho
- Institute of Advanced Studies, University of São Paulo, São Paulo, Brazil
| | | | - M C Chiuffo
- Grupo de Ecología de Invasiones, INIBIOMA, Universidad Nacional del Comahue, CONICET, San Carlos de Bariloche, Río Negro, Argentina
| | - D Cinoğlu
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - E Cinto Mejía
- Department of Entomology, Michigan State University, East Lansing, MI, USA
| | - M C Cock
- Facultad de Ciencias Exactas y Naturales, Instituto de Ciencias de la Tierra y Ambientales de La Pampa, Santa Rosa, La Pampa, Argentina
| | - R Cogni
- Department of Ecology, University of São Paulo, São Paulo, Brazil
| | - O L Cope
- Department of Entomology, Michigan State University, East Lansing, MI, USA
- Department of Biology, Whitworth University, Spokane, WA, USA
| | - T Cornelissen
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - D R Cortez
- Department of Biology, California State University San Bernardino, San Bernardino, CA, USA
| | - D W Crowder
- Department of Entomology, Washington State University, Pullman, WA, USA
| | - C Dallstream
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - W Dáttilo
- Red de Ecoetología, Instituto de Ecología AC, Xalapa, Veracruz, Mexico
| | - J K Davis
- Department of Entomology, Cornell University, Ithaca, NY, USA
| | - R D Dimarco
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
- Grupo de Ecología de Poblaciones de Insectos, IFAB, San Carlos de Bariloche, Río Negro, Argentina
| | - H E Dole
- Department of Entomology, Michigan State University, East Lansing, MI, USA
| | - I N Egbon
- Department of Animal and Environmental Biology, University of Benin, Benin City, Nigeria
| | - M Eisenring
- Forest Entomology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - A Ejomah
- Department of Animal and Environmental Biology, University of Benin, Benin City, Nigeria
| | - B D Elderd
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - M-J Endara
- Grupo de Investigación en Ecología y Evolución en los Trópicos-EETROP, Universidad de las Américas, Quito, Ecuador
| | - M D Eubanks
- Department of Entomology, Texas A&M University, College Station, TX, USA
| | - S E Everingham
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
- Evolution & Ecology Research Centre, University of New South Wales Sydney, Sydney, Australia
| | - K N Farah
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| | - R P Farias
- Instituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, Brasil
| | - A P Fernandes
- Department of Botany, Ganpat Parsekar College of Education Harmal, Pernem, Goa, India
| | - G W Fernandes
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Knowledge Center for Biodiversity, Brazil
| | - M Ferrante
- Faculty of Agricultural Sciences and Environment, University of the Azores, Ponta Delgada, Portugal
- Department of Crop Sciences, University of Göttingen, Göttingen, Germany
| | - A Finn
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland
| | - G A Florjancic
- Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - M L Forister
- Biology Department, University of Nevada, Reno, Reno, NV, USA
| | - Q N Fox
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| | - E Frago
- CIRAD, UMR CBGP, INRAE, Institut Agro, IRD, Université Montpellier, Montpellier, France
| | - F M França
- School of Biological Sciences, University of Bristol, Bristol, UK
- Programa de Pós-Graduação em Ecologia, Universidade Federal do Pará, Belém, Pará, Brasil
| | | | - Z Getman-Pickering
- Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA, USA
| | - E Gianoli
- Departamento de Biología, Universidad de La Serena, La Serena, Chile
| | - B Gooden
- CSIRO Black Mountain Laboratories, CSIRO Health and Biosecurity, Canberra, Australia
| | - M M Gossner
- Forest Entomology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
- Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
| | - K A Greig
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - S Gripenberg
- School of Biological Sciences, University of Reading, Reading, UK
| | - R Groenteman
- Manaaki Whenua - Landcare Research, Lincoln, New Zealand
| | - P Grof-Tisza
- Institute of Biology, University of Neuchatel, Neuchatel, Switzerland
| | - N Haack
- Independent Institute for Environmental Issues, Halle, Germany
| | - L Hahn
- Molecular Evolution and Systematics of Animals, University of Leipzig, Leipzig, Germany
| | - S M Haq
- Wildlife Crime Control Division, Wildlife Trust of India, Noida, Uttar Pradesh, India
| | - A M Helms
- Department of Entomology, Texas A&M University, College Station, TX, USA
| | - J Hennecke
- Systematic Botany and Functional Biodiversity, Leipzig University, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
| | - S L Hermann
- Department of Entomology, The Pennsylvania State University, University Park, PA, USA
| | - L M Holeski
- Department of Biological Sciences and Center for Adaptive Western Landscapes, Northern Arizona University, Flagstaff, AZ, USA
| | - S Holm
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
- Department of Zoology, University of Tartu, Tartu, Estonia
| | - M C Hutchinson
- Department of Life and Environmental Sciences, University of California, Merced, Merced, CA, USA
| | - E E Jackson
- School of Biological Sciences, University of Reading, Reading, UK
| | - S Kagiya
- Field Science Center for Northern Biosphere, Hokkaido University, Sapporo, Hokkaido, Japan
| | - A Kalske
- Department of Biology, University of Turku, Turku, Finland
| | - M Kalwajtys
- Department of Entomology, Michigan State University, East Lansing, MI, USA
| | - R Karban
- Department of Entomology and Nematology, University of California Davis, Davis, CA, USA
| | - R Kariyat
- Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR, USA
| | - T Keasar
- Department of Biology and the Environment, University of Haifa - Oranim, Oranim, Tivon, Israel
| | - M F Kersch-Becker
- Department of Entomology, The Pennsylvania State University, University Park, PA, USA
| | - H M Kharouba
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - T N Kim
- Department of Entomology, Kansas State University, Manhattan, KS, USA
| | - D M Kimuyu
- Department of Natural Resources, Karatina University, Karatina, Kenya
| | - J Kluse
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - S E Koerner
- Department of Biology, University of North Carolina Greensboro, Greensboro, NC, USA
| | - K J Komatsu
- Department of Biology, University of North Carolina Greensboro, Greensboro, NC, USA
- Smithsonian Environmental Research Center, Edgewater, MD, USA
| | - S Krishnan
- Center for Sustainable Future, Amrita University and EIACP RP, Amrita Viswa Vidyapeetham, Coimbatore, India
| | - M Laihonen
- Biodiversity Unit, University of Turku, Turku, Finland
| | - L Lamelas-López
- Faculty of Agricultural Sciences and Environment, University of the Azores, Ponta Delgada, Portugal
| | - M C LaScaleia
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - N Lecomte
- Canada Research Chair in Polar and Boreal Ecology, Department of Biology and Centre d'Études Nordiques, Université de Moncton, Moncton, Canada
| | - C R Lehn
- Biological Sciences Course, Instituto Federal Farroupilha, Panambi, RS, Brazil
| | - X Li
- College of Resources and Environmental sciences, Jilin Agricultural University, Changchun, China
| | - R L Lindroth
- Department of Entomology, University of Wisconsin-Madison, Madison, WI, USA
| | - E F LoPresti
- Department of Biological Sciences, University of South Carolina, Columbia, SC, USA
| | - M Losada
- Department of Soil Science and Agricultural Chemistry, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - A M Louthan
- Division of Biology, Kansas State University, Manhattan, KS, USA
| | - V J Luizzi
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - S C Lynch
- Division of Biology, Kansas State University, Manhattan, KS, USA
| | - J S Lynn
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
| | - N J Lyon
- Department of Entomology, Michigan State University, East Lansing, MI, USA
| | - L F Maia
- Bio-Protection Research Centre, University of Canterbury, Christchurch, New Zealand
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - R A Maia
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - T L Mannall
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - B S Martin
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA
| | - T J Massad
- Department of Scientific Services, Gorongosa National Park, Sofala, Mozambique
| | - A C McCall
- Biology Department, Denison University, Granville, OH, USA
| | - K McGurrin
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - A C Merwin
- Department of Biology and Geology, Baldwin Wallace University, Berea, OH, USA
| | - Z Mijango-Ramos
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - C H Mills
- Evolution & Ecology Research Centre, University of New South Wales Sydney, Sydney, Australia
| | - A T Moles
- Evolution & Ecology Research Centre, University of New South Wales Sydney, Sydney, Australia
| | - C M Moore
- Department of Biology, Colby College, Waterville, ME, USA
| | - X Moreira
- Misión Biológica de Galicia, Consejo Superior de Investigaciones Científicas, Pontevedra, Galicia, Spain
| | - C R Morrison
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - M C Moshobane
- South African National Biodiversity Institute, Pretoria National Botanical Garden, Brummeria, Silverton, South Africa
- Centre for Functional Biodiversity, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
| | - A Muola
- Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research, Tromsø, Norway
| | - R Nakadai
- Faculty of Environment and Information Sciences, Yokohama National University, Yokohama, Kanagawa, Japan
| | - K Nakajima
- Insitute of Science and Engineering, Chuo University, Tokyo, Japan
- Institute of Cave Research, Shimohei-guun, Iwate Prefecture, Japan
| | - S Novais
- Red de Interacciones Multitróficas, Instituto de Ecología A.C., Xalapa, Veracruz, Mexico
| | - C O Ogbebor
- Nigerian Institute for Oil Palm Research, Benin City, Edo State, Nigeria
| | - H Ohsaki
- Department of Biological Sciences, Hirosaki University, Hirosaki, Aomori, Japan
| | - V S Pan
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA
- Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
| | - N A Pardikes
- Department of Biology, Utah State University, Logan, UT, USA
| | - M Pareja
- Departamento de Biologia Animal, Universidade Estadual de Campinas, Campinas, Brazil
| | - N Parthasarathy
- Department of Ecology and Evironmental Sciences, Pondicherry University, Puducherry, India
| | | | - Q Paynter
- Manaaki Whenua - Landcare Research, Auckland, New Zealand
| | - I S Pearse
- U.S. Geological Survey, Fort Collins Science Center, Fort Collins, CO, USA
| | - R M Penczykowski
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA
| | - A A Pepi
- Department of Biology, Tufts University, Medford, MA, USA
| | - C C Pereira
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - S S Phartyal
- School of Ecology & Environment Studies, Nalanda University, Rajgir, India
| | - F I Piper
- Millennium Nucleus of Patagonian Limit of Life and Instituto de Ciencias Biológicas, Universidad de Talca, Talca, Chile
- Institute of Ecology and Biodiversity, Ñuñoa, Santiago
| | - K Poveda
- Department of Entomology, Cornell University, Ithaca, NY, USA
| | - E G Pringle
- Biology Department, University of Nevada, Reno, Reno, NV, USA
| | - J Puy
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain
| | - T Quijano
- Departamento de Ecología Tropical, Universidad Autónoma de Yucatán, Mérida, Yucatán, México
| | - C Quintero
- INIBIOMA, CONICET - Universidad Nacional del Comahue, San Carlos de Bariloche, Río Negro, Argentina
| | - S Rasmann
- Institute of Biology, University of Neuchatel, Neuchatel, Switzerland
| | - C Rosche
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
- Institute of Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - L Y Rosenheim
- Department of Entomology and Nematology, University of California Davis, Davis, CA, USA
| | - J A Rosenheim
- Department of Entomology and Nematology, University of California Davis, Davis, CA, USA
| | - J B Runyon
- Rocky Mountain Research Station, USDA Forest Service, Bozeman, MT, USA
| | - A Sadeh
- Department of Natural Resources, Newe Ya'ar Research Center, Volcani Institute, Ramat Yishay, Israel
| | - Y Sakata
- Department of Biological Environment, Akita Prefectural University, Shimoshinjyo-Nakano, Akita, Japan
| | - D M Salcido
- Biology Department, University of Nevada, Reno, Reno, NV, USA
| | - C Salgado-Luarte
- Instituto de Investigación Multidisciplinario en Ciencia y Tecnología, Universidad de La Serena, La Serena, Chile
| | - B A Santos
- Departamento de Sistemática e Ecologia Universidade Federal da Paraíba, João Pessoa, Brazil
| | - Y Sapir
- The Botanic Garden, School of Plant Sciences and Food Security, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
| | - Y Sasal
- INIBIOMA, CONICET - Universidad Nacional del Comahue, San Carlos de Bariloche, Río Negro, Argentina
| | - Y Sato
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - M Sawant
- Department of Ecology, University of Pune, Maharashtra, India
| | - H Schroeder
- Department of Entomology, Cornell University, Ithaca, NY, USA
| | - I Schumann
- Department of Human Genetics, University of Leipzig, Leipzig, Germany
| | - M Segoli
- Mitrani Department of Desert Ecology, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel
| | - H Segre
- Department of Natural Resources, Institute of Plant Sciences, Agricultural Research Organization - Volcani Institute, Rishon Le Tzion, Israel
- Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
- Department of Natural Resources, Newe Ya'ar Research Center, Volcani Institute, Ramat Yishay, Israel
| | - O Shelef
- Department of Natural Resources, Institute of Plant Sciences, Agricultural Research Organization - Volcani Institute, Rishon Le Tzion, Israel
| | - N Shinohara
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
| | - R P Singh
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA
| | - D S Smith
- Department of Biology, California State University San Bernardino, San Bernardino, CA, USA
| | - M Sobral
- Department of Soil Science and Agricultural Chemistry, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - G C Stotz
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, USA
| | - A J M Tack
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
| | - M Tayal
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, USA
| | - J F Tooker
- Department of Entomology, The Pennsylvania State University, University Park, PA, USA
| | - D Torrico-Bazoberry
- Laboratorio de Comportamiento Animal y Humano, Centro de Investigación en Complejidad Social, Universidad del Desarrollo, Las Condes, Chile
| | - K Tougeron
- Écologie et Dynamique des Systèmes Anthropisés, Université de Picardie Jules Verne, UMR 7058 CNRS, Amiens, France
- Ecology of Interactions and Global Change, Institut de Recherche en Biosciences, Université de Mons, Mons, Belgium
| | - A M Trowbridge
- Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, USA
| | - S Utsumi
- Field Science Center for Northern Biosphere, Hokkaido University, Sapporo, Hokkaido, Japan
| | - O Uyi
- Department of Animal and Environmental Biology, University of Benin, Benin City, Nigeria
- Department of Entomology, University of Georgia, Tifton, GA, USA
| | - J L Vaca-Uribe
- Programa de ingeniría agroecológica, Corporación Universitaria Minuto de Dios, Bogotá, Colombia
| | - A Valtonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - L J A van Dijk
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - V Vandvik
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - J Villellas
- Department of Life Sciences, University of Alcalá, Madrid, Spain
| | - L P Waller
- Bioprotection Aotearoa, Lincoln University, Lincoln, New Zealand
| | - M G Weber
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - A Yamawo
- Department of Biological Sciences, Hirosaki University, Hirosaki, Aomori, Japan
- Center for Ecological Research, Kyoto University, Otsu, Japan
| | - S Yim
- Biology Department, University of Nevada, Reno, Reno, NV, USA
| | - P L Zarnetske
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA
- Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
| | - L N Zehr
- Department of Entomology, Michigan State University, East Lansing, MI, USA
| | - Z Zhong
- Institute of Grassland Science, Key Laboratory of Vegetation Ecology, Ministry of Education/Jilin Songnen Grassland Ecosystem National Observation and Research Station, Northeast Normal University, Changchun, Jilin Province, China
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, State Key Laboratory for Biology of Plant Diseases and Insect Pests, Beijing, China
| | - W C Wetzel
- Department of Entomology, Michigan State University, East Lansing, MI, USA
- Plant Resilience Institute, Michigan State University, East Lansing, MI, USA
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA
- Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI, USA
- Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, USA
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Zhong Z, Dai L, Ding J, Gao Y, Su G, Zhu Y, Deng Y, Li F, Gao Y, Yang P. Molecular diagnostic yield for Blau syndrome in previously diagnosed juvenile idiopathic arthritis with uveitis or cutaneous lesions. Rheumatology (Oxford) 2023:kead596. [PMID: 37941393 DOI: 10.1093/rheumatology/kead596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 07/24/2023] [Accepted: 10/03/2023] [Indexed: 11/10/2023] Open
Abstract
OBJECTIVE Diagnostic pitfalls often arise in the community because of potentially misleading similarities between juvenile idiopathic arthritis (JIA) and Blau syndrome, an immune-related disorder caused by NOD2 gene mutations. It remains unclear in which population and to which extent next-generation sequencing techniques can aid in diagnosis. METHODS We evaluated clinical usefulness of targeted next-generation sequencing in previously diagnosed JIA. Participants were required to have symptoms and signs suspected of Blau syndrome, including at least uveitis or cutaneous lesions in addition to arthritis. Targeted sequencing was conducted on NOD2 gene to detect diagnostic variants classified as pathogenic or likely pathogenic for Blau syndrome. We assessed the molecular diagnostic yield and clinical implications on patient care. RESULTS Between May 1, 2008, and June 1, 2021, sequencing data were accrued from 123 previously diagnosed JIA (median age: 5 years; female: 62.6%). Targeted NOD2 sequencing yielded a positive molecular diagnosis of Blau syndrome in 21.1% (95% CI, 14.9%-29.2%), encompassing six heterozygous missense mutations classified as pathogenic variants. Among those receiving a molecular diagnosis, changes in clinical management and treatment were considered as having occurred in 38.5%. Nine predictors were identified to be associated with a higher diagnostic yield, providing clinical clues to suspect the possibility of Blau syndrome. CONCLUSION Among some patients with pediatric-onset arthritis complicated with uveitis or cutaneous lesions, reassessing their diagnosis of JIA may be warranted. Targeted NOD2 sequencing established the molecular diagnosis of Blau syndrome in nearly one fifth of these cases and provided clinically relevant information for patient-care decisions.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Lingyu Dai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Jiadong Ding
- The First Affiliated Hospital of Zhengzhou University, Henan Province Eye Hospital, and Henan International Joint Research Laboratory for Ocular Immunology and Retinal Injury Repair, Zhengzhou, China
| | - Yu Gao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yunyun Zhu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yang Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Fuzhen Li
- The First Affiliated Hospital of Zhengzhou University, Henan Province Eye Hospital, and Henan International Joint Research Laboratory for Ocular Immunology and Retinal Injury Repair, Zhengzhou, China
| | - Yuan Gao
- Southwest Hospital/Southwest Eye Hospital, Third Military Medical University, and Key Lab of Visual Damage and Regeneration & Restoration of Chongqing, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Chang R, Ji Y, Xu J, Lai Y, Zhang H, Zhong Z, Su G, Yang P. Identification of FCER1G as a cyclosporin A plus corticosteroid sensitization gene in female patients with Vogt-Koyanagi-Harada disease. Clin Immunol 2023; 256:109800. [PMID: 37821074 DOI: 10.1016/j.clim.2023.109800] [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: 08/02/2023] [Revised: 09/26/2023] [Accepted: 09/30/2023] [Indexed: 10/13/2023]
Abstract
The resistance development of the combination regimen of corticosteroids (CS) with cyclosporin A (CsA) leads to therapeutic failure of some patients with autoimmune diseases. In the male patients with Vogt-Koyanagi-Harada (VKH) disease, we have identified RPS4Y1 as an important resistance gene of the regimen and a functional mediator of chlorambucil (CLB). However, it remains unclear what is responsible for the resistance in female patients. In the present study, we performed RNA sequencing, tandem mass tag (TMT) proteomics, gain- and loss-of-function assays and rescue assays to screen and validate potential resistant mediators. The results showed that only Fc epsilon receptor Ig (FCER1G) exhibited significantly differential expression in CD4+ T cells among female CsA & CS resistant, sensitive and CLB & CsA & CS treated patients at transcription and protein levels. Inhibition of FCER1G was demonstrated to modulate CD4+ T cell resistance to CsA & CS in female patients. Importantly, the inhibition was mediated by elevated DNA methylation in the promoter region of the FCER1G gene. Moreover, we found that the salvage effect of CLB on CsA & CS resistance was mediated by an increased FCER1G expression via DNA demethylation in female patients. Taken together, the downregulation of FCER1G due to DNA hypermethylation is responsible for the resistance to CsA & CS and CLB reverses this resistance by inducing FCER1G expression via DNA demethylation in female patients. Modulation of FCER1G would be a promising sensitization strategy in female patients with resistance to CsA & CS.
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Affiliation(s)
- Rui Chang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Yan Ji
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Jing Xu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Yuxian Lai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Hang Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China.
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10
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Zhong Z, Su G, Yang P. Risk factors, clinical features and treatment of Behçet's disease uveitis. Prog Retin Eye Res 2023; 97:101216. [PMID: 37734442 DOI: 10.1016/j.preteyeres.2023.101216] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/09/2023] [Accepted: 09/15/2023] [Indexed: 09/23/2023]
Abstract
Behçet's disease is a systemic vasculitis frequently associated with intraocular inflammation. Recent findings identified independent clinical clusters in Behçet's disease, each involving distinct combinations of affected organs. Ocular Behçet's disease, mainly manifested as uveitis, is characterized as an independent cluster with a low likelihood of association with other system involvements, such as intestinal, cardiovascular, or central nervous system. A prevailing theory suggests that the pathogenesis of the disease is multifactorial, where a variety of genetic and infectious agents may interact with each other to cause the disease. Among sporadic cases, the human leukocyte antigen (HLA) genes, including HLA-B51, HLA-A26, HLA-B15, and HLA-B5701, have been found to be a key component conferring genetic susceptibility. Outside the HLA region, a set of susceptibility variants are identified, closely related to interleukin (IL)-23/IL-17 pathway, tumor necrosis factor (TNF) signaling, and pattern recognition receptor systems. Microbial infections, such as Streptococcus sanguinis, Mycobacterium tuberculosis, and Herpes simplex virus (HSV), are linked to play the triggering of disease in immunogenetically predisposed individuals. Clinically, due to the notable relapsing-remitting course of ocular Behçet's disease, the prevention of recurrent attack would be the primary treatment goal. Combination of corticosteroids and immunomodulatory drugs, such as anti-TNF agents, interferon, and conventional immunosuppressants (e.g. cyclosporine, azathioprine), have been the mainstream regimen for the disease. Future research may focus on comparing the effectiveness of immunomodulatory drugs and identifying the most suitable subgroups for a specific drug on the basis of the knowledge of the molecular heterogeneity of the disease.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China.
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11
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Yang P, Liao W, Pu Y, Zhong Z, Wang H, Yu Q, Cai J, Wang W, Su G. Vogt-Koyanagi-Harada disease in pediatric, adult and elderly: clinical characteristics and visual outcomes. Graefes Arch Clin Exp Ophthalmol 2023; 261:2641-2650. [PMID: 37058172 DOI: 10.1007/s00417-023-06058-5] [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: 12/06/2022] [Revised: 03/24/2023] [Accepted: 04/04/2023] [Indexed: 04/15/2023] Open
Abstract
PURPOSE To depict a whole spectrum of clinical feartures and visual prognosis among pediatric, adult, and elderly Vogt-Koyanagi-Harada disease (VKH) patients. METHODS Retrospective chart review was conducted in 2571 VKH patients diagnosed from April 2008 to January 2022. Based on age of disease onset, patients were divided into pediatric (age ≤ 16 years), adult (16 < age < 65 years), and elderly (age ≥ 65 years) VKH group. Ocular and extraocular manifestations were compared among these patients. Visual outcomes and complications were evaluated using logistic regression models and restricted cubic splines analysis. RESULTS The median follow-up time was 48 (IQR, 12-60) months. Pediatric, adult and elderly VKH were found in 106 (4.1%), 2355 (91.6%), and 110 (4.3%) patients, respectively. All of the patients showed similar ocular manifestations in the context of disease phasing. The proportion of neurological and auditory manifestations in pediatric (42.3% and 7.5%) VKH patients was significantly lower than that in adults (66.5% and 47.9%) and elderly (68.2% and 50%) (both p < 0.0001). An increased risk of macular abnormalities was seen in adults (OR, 3.43; 95% CI, 1.62-7.29) compared with elderly VKH. An inverted-U-shaped pattern was observed between disease onset age and a poor visual outcome (visual acuity 6/18 or worse) according to OR value in VKH patients. The highest risk of BCVA ≤ 6/18 was observed in 32 years at disease onset (OR, 1.51; 95% CI, 1.18-1.94). A higher risk of visual loss was observed in adult VKH patients (OR, 9.06; 95% CI, 2.18-37.6) compared with elderly VKH patients. And stratified by macular abnormalities, the interaction test was not significant (P = 0.634). CONCLUSION Our study identified, for the first time, a whole spectrum of clinical features of VKH based on a large cohort of Chinese patients. Adult VKH patients have an increased risk of poor visual outcomes, possibly due to increased frequency of macular abnormalities.
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Affiliation(s)
- Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China.
| | - Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Yanlin Pu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Hongmiao Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Qiuyue Yu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Jinyu Cai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Wujiao Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Youyi Road 1, Chongqing, 400016, People's Republic of China
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Liu S, Zhang S, Diao Z, Fang Z, Jiao Z, Zhong Z. Pedestrian re-identification based on attention mechanism and Multi-scale feature fusion. Math Biosci Eng 2023; 20:16913-16938. [PMID: 37920040 DOI: 10.3934/mbe.2023754] [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: 11/04/2023]
Abstract
Existing pedestrian re-identification models generally have low pedestrian retrieval accuracy when encountering factors such as changes in pedestrian posture and occlusion because the network cannot fully express pedestrian feature information. Therefore, this paper proposes a method to address this problem by combining the attention mechanism with multi-scale feature fusion, and combining the proposed cross-attention module with the ResNet50 backbone network. In this way, the ability of the network to extract strong salient features is significantly improved; at the same time, using the multi-scale feature fusion module to extract multi-scale features from different depths of the network, achieving the complementary advantages between features through feature addition, feature concatenation and feature weight selection. In addition, a feature enhancement method and an efficient pedestrian retrieval strategy are proposed to jointly promote the accuracy of pedestrian retrieval from both the training and testing levels. When tested on the occluded pedestrian recognition datasets Partial-REID and Partial-iLIDS, the accuracy of this method reached 70.1% and 65.6% on the Rank-1 indicator respectively, and 82.2% and 80.5% on the Rank-3 indicator respectively. At the same time, it also achieved high recognition accuracy when tested on the Market1501 dataset and DukeMTMC-reid dataset, reaching 95.9% and 89.9% on the Rank-1 indicator respectively, 89.1% and 80.3% on the mAP indicator respectively, and 67% and 46.2% on the mINP indicator respectively. It can be seen that this method has achieved good results in solving the above problems.
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Affiliation(s)
- Songlin Liu
- School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
- Institute of Intelligent Manufacturing, GDAS, Guangdong Key Laboratory of Modern Control Technology, Guangzhou 510030, China
| | - Shouming Zhang
- School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
| | - Zijian Diao
- School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
| | - Zhenbin Fang
- Institute of Intelligent Manufacturing, GDAS, Guangdong Key Laboratory of Modern Control Technology, Guangzhou 510030, China
| | - Zeyu Jiao
- Institute of Intelligent Manufacturing, GDAS, Guangdong Key Laboratory of Modern Control Technology, Guangzhou 510030, China
| | - Zhenyu Zhong
- Institute of Intelligent Manufacturing, GDAS, Guangdong Key Laboratory of Modern Control Technology, Guangzhou 510030, China
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Li Y, Zhong Z, Xu C, Wu X, Li J, Tao W, Wang J, Du Y, Zhang S. 3D micropattern force triggers YAP nuclear entry by transport across nuclear pores and modulates stem cells paracrine. Natl Sci Rev 2023; 10:nwad165. [PMID: 37457331 PMCID: PMC10347367 DOI: 10.1093/nsr/nwad165] [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: 02/19/2023] [Revised: 04/27/2023] [Accepted: 05/25/2023] [Indexed: 07/18/2023] Open
Abstract
Biophysical cues of the cellular microenvironment tremendously influence cell behavior by mechanotransduction. However, it is still unclear how cells sense and transduce the mechanical signals from 3D geometry to regulate cell function. Here, the mechanotransduction of human mesenchymal stem cells (MSCs) triggered by 3D micropatterns and its effect on the paracrine of MSCs are systematically investigated. Our findings show that 3D micropattern force could influence the spatial reorganization of the cytoskeleton, leading to different local forces which mediate nucleus alteration such as orientation, morphology, expression of Lamin A/C and chromatin condensation. Specifically, in the triangular prism and cuboid micropatterns, the ordered F-actin fibers are distributed over and fully transmit compressive forces to the nucleus, which results in nuclear flattening and stretching of nuclear pores, thus enhancing the nuclear import of YES-associated protein (YAP). Furthermore, the activation of YAP significantly enhances the paracrine of MSCs and upregulates the secretion of angiogenic growth factors. In contrast, the fewer compressive forces on the nucleus in cylinder and cube micropatterns cause less YAP entering the nucleus. The skin repair experiment provides the first in vivo evidence that enhanced MSCs paracrine by 3D geometry significantly promotes tissue regeneration. The current study contributes to understanding the in-depth mechanisms of mechanical signals affecting cell function and provides inspiration for innovative design of biomaterials.
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Affiliation(s)
| | | | - Cunjing Xu
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan430074, China
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan430074, China
| | - Xiaodan Wu
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan430074, China
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan430074, China
| | - Jiaqi Li
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan430074, China
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan430074, China
| | - Weiyong Tao
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan430074, China
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan430074, China
| | - Jianglin Wang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan430074, China
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan430074, China
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Zhong Z, Dai L, Wu Q, Gao Y, Pu Y, Su G, Lu X, Zhang F, Tang C, Wang Y, Zhou C, Yang P. A randomized non-inferiority trial of therapeutic strategy with immunosuppressants versus biologics for Vogt-Koyanagi-Harada disease. Nat Commun 2023; 14:3768. [PMID: 37355662 PMCID: PMC10290648 DOI: 10.1038/s41467-023-39483-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/15/2023] [Indexed: 06/26/2023] Open
Abstract
Biologics are increasingly used to treat Vogt-Koyanagi-Harada disease, but head-to-head comparisons with conventional immunosuppressants are lacking. Here in this randomized trial (Chinese Clinical Trial Registry, ChiCTR2100043061), we assigned 110 patients (27 early-phase and 83 late-phase) to cyclosporine-based immunosuppressant strategy (N = 56) or adalimumab-based biologic strategy (N = 54), each combined with a modified corticosteroid regimen. The primary outcome is change from baseline in best-corrected visual acuity at week 26. The margin of non-inferiority for cyclosporine is -7 letters. The primary outcome is 11.2 letters (95% CI, 7.5 to 14.9) in the cyclosporine group and 6.3 letters (95% CI, 3.1 to 9.6) in the adalimumab group (difference, 4.9; 95% CI, 0.2 to 9.5; P < 0.001 for non-inferiority). The between-group difference is -0.8 letters (95% CI, -6.1 to 4.5) in early-phase disease and 5.7 letters (95% CI, 0.2 to 11.2) in late-phase. Serious adverse events are reported less frequently in the cyclosporine group than in the adalimumab group (0.70 vs. 1.21 events per patient-year). Here, we report that combined with a non-standard corticosteroid regimen, cyclosporine-based immunosuppressant strategy is non-inferior to adalimumab-based biologic strategy by 26 weeks for visual improvement in a cohort of patients with Vogt-Koyanagi-Harada disease, 75% of whom have a late-phase disease.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Lingyu Dai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qiuying Wu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yu Gao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yanlin Pu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiaorong Lu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Fuxiang Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Chong Tang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yao Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Chunjiang Zhou
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China.
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Wu Q, Zhong Z, Zhou C, Cao Q, Su G, Yang P. Association of ZC3HAV1 single nucleotide polymorphisms with the susceptibility of Vogt-Koyanagi-Harada Disease. BMC Med Genomics 2023; 16:113. [PMID: 37221558 DOI: 10.1186/s12920-023-01546-3] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 05/14/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Polymorphisms of genes related to the immune response have been reported to confer susceptibility to Vogt-Koyanagi-Harada (VKH) disease. This study was carried out to determine whether zinc finger CCCH-type containing antiviral 1 (ZC3HAV1) and tripartite motif-containing protein 25 (TRIM25) genetic polymorphisms are associated with this disease. METHODS A total of 766 VKH patients and 909 healthy individuals were enrolled in this two-stage case-control study. Thirty-one tag single nucleotide polymorphisms (SNPs) of ZC3HAV1 and TRIM25 were genotyped by MassARRAY System and iPLEX Gold Genotyping Assay. Allele and genotype frequencies were analyzed by the χ2 test or Fisher's exact test. Cochran-Mantel-Haenszel test was used to assess the pooled odds ratio (OR) in the combined study. A stratified analysis was performed in terms of the major clinical features of VKH disease. RESULTS We found a statistically significant increased frequency of the minor A allele of ZC3HAV1 rs7779972 (P = 1.50 × 10- 4, pooled OR = 1.332, 95%CI = 1.149-1.545) in VKH disease as compared with controls by using the Cochran-Mantel-Haenszel test. The GG genotype of rs7779972 showed a protective association with VKH disease (P = 1.88 × 10- 3, OR = 0.733, 95%CI = 0.602-0.892). There was no difference regarding the frequency of the remaining SNPs between VKH cases and controls (all P > 2.08 × 10- 3). The stratified analysis showed no significant association of rs7779972 with the major clinical characteristics of VKH disease. CONCLUSION Our study indicated that the ZC3HAV1 variant rs7779972 might confer susceptibility to VKH disease in Han Chinese.
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Affiliation(s)
- Qiuying Wu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Chunya Zhou
- Department of Ophthalmology & Optometry, The School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, P. R. China
| | - Qingfeng Cao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, China.
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Lu X, Huang X, Xue M, Zhong Z, Wang R, Zhang W, Wang L, Qiao Y, Ling F, Zhang Q, Zhang Y. Prognostic significance of increased preoperative red cell distribution width (RDW) and changes in RDW for colorectal cancer. Cancer Med 2023. [PMID: 37143237 DOI: 10.1002/cam4.6036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 04/04/2023] [Accepted: 04/25/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Increased preoperative red cell distribution width (RDW) is associated with poor prognosis in several cancers, but the relationships between preoperative RDW and changes in RDW (ΔRDW) and colorectal cancer (CRC) prognosis remain unclear. Our study aimed to demonstrate the prognostic significance of increased preoperative RDW and ΔRDW for CRC. METHODS In this retrospective analysis, we enrolled 833 patients who underwent CRC surgery between 2015 and 2019 at the Affiliated Hospital of Xuzhou Medical University, China. ΔRDW in our study was defined as RDW at 1 month after discharge minus preoperative RDW. According to receiver operating characteristic (ROC) curve analysis, we used cut-off values of 13.5% for RDW, 0.9% for ΔRDW. The cumulative survival rate was determined using the Kaplan-Meier method, and significant differences were evaluated by the log-rank test. Multivariable Cox regression model was applied to clarify the independent risk factors for overall survival (OS), which were used to construct a nomogram prediction model. The competing risk method was also applied, and we analyzed only patients with early-stage disease (stage 0-II) for sensitivity analysis. RESULTS Multivariable Cox regression analysis demonstrated that age, RDW, ΔRDW, postoperative adjuvant chemotherapy, CEA, CA19-9, ASA, TNM stage, and pathological type were independent factors for OS in CRC patients (all p < 0.05). These prognostic factors were used to establish and verify the OS nomogram. Poorer OS was linked to higher RDW (HR = 1.52; 95% CI, 1.11-2.08; p < 0.01) and ΔRDW (HR = 1.65; 95% CI, 1.19-2.28; p < 0.01) in all-stage patients, and was only linked to higher RDW in early-stage patients. In competing risk model, H-RDW and H-ΔRDW were confirmed to be independent risk factors for CSS in CRC patients. CONCLUSIONS High preoperative RDW and ΔRDW are both risk factors for OS and CSS in CRC.
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Affiliation(s)
- Xian Lu
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiaofan Huang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Meng Xue
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Zhenyu Zhong
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ran Wang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Wen Zhang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Lili Wang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yuhan Qiao
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Fei Ling
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qian Zhang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yueying Zhang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Anesthesiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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Zhang B, Lei H, Cai Y, Zhong Z, Jiao Z. COVID-19 contact tracking based on person reidentification and geospatial data. J King Saud Univ Comput Inf Sci 2023; 35:101558. [PMID: 37251782 PMCID: PMC10110285 DOI: 10.1016/j.jksuci.2023.101558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 03/08/2023] [Accepted: 04/09/2023] [Indexed: 05/31/2023]
Abstract
Efficient contact tracing is a crucial step in preventing the spread of COVID-19. However, the current methods rely heavily on manual investigation and truthful reporting by high-risk individuals. Mobile applications and Bluetooth-based contact tracing methods have also been adopted, but privacy concerns and reliance on personal data have limited their effectiveness. To address these challenges, in this paper, a geospatial big data method that combines person reidentification and geospatial information for contact tracing is proposed. The proposed real-time person reidentification model can identify individuals across multiple surveillance cameras, and the surveillance data is fused with geographic information and mapped onto a 3D geospatial model to track movement trajectories. After real-world verification, the proposed method achieves a first accuracy rate of 91.56%, a first-five accuracy rate of 97.70%, and a mean average precision of 78.03% with an inference speed of 13 ms per image. Importantly, the proposed method does not rely on personal information, mobile phones, or wearable devices, avoiding the limitations of existing contact tracing schemes and providing significant implications for public health in the post-COVID-19 era.
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Affiliation(s)
- Boxing Zhang
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
- Kunming University of Sciences and Technology, Faculty of Information Engineering and Automation, Kunming, China
| | - Huan Lei
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Yingjie Cai
- Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhenyu Zhong
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Zeyu Jiao
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
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Zhong Z, Wu Q, Lai Y, Dai L, Gao Y, Liao W, Su G, Wang Y, Zhou C, Yang P. Early vs Deferred Non-Messenger RNA COVID-19 Vaccination Among Chinese Patients With a History of Inactive Uveitis: A Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2255804. [PMID: 36787142 PMCID: PMC9929699 DOI: 10.1001/jamanetworkopen.2022.55804] [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] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2023] Open
Abstract
IMPORTANCE Improper host response to COVID-19 vaccines could trigger immune-mediated adverse events. The question remains whether COVID-19 vaccination should be postponed until complete remission in patients with uveitis, a preexisting immune-related condition. OBJECTIVE To compare recommendations for early and deferred COVID-19 vaccination with respect to uveitis outcomes. DESIGN, SETTING, AND PARTICIPANTS This open-label, randomized clinical trial at a large, specialized teaching center for uveitis care in China enrolled unvaccinated patients with inactive uveitis between August 10, 2021, and February 22, 2022, with follow-up to June 6, 2022. INTERVENTIONS Participants were randomly assigned to receive recommendation for early or deferred COVID-19 vaccination after complete remission of uveitis. Non-messenger RNA (non-mRNA) COVID-19 vaccines were available in China during the trial. MAIN OUTCOMES AND MEASURES The primary outcome was the time to symptomatic uveitis worsening during 3 months of follow-up. Secondary outcomes included uveitis activity and best-corrected visual acuity at 3 months. RESULTS Of the 543 participants (304 women [56.0%]; median age, 35 [IQR, 26-49] years), 262 were recommended for early vaccination and 281 for deferred vaccination. By month 3, 109 patients (41.6%) in the early group had been vaccinated compared with 14 (5.0%) in the deferred recommendation group. In the intention-to-treat population, the time to symptomatic uveitis worsening was shorter in the early group than in the deferred group (hazard ratio, 1.68 [95% CI, 1.09-2.59]; P = .01 by log-rank test). Changes in anterior chamber cells, vitreous haze, and best-corrected visual acuity from baseline to month 3 appeared similar in the 2 groups in the evaluable population after the month 3 in-person visit. CONCLUSIONS AND RELEVANCE In this randomized clinical trial of patients with inactive uveitis, recommendation for early non-mRNA COVID-19 vaccination resulted in a higher incidence of self-reported symptomatic uveitis worsening with possible reporting bias compared with recommendation for deferred vaccination, but no adverse effects were observed in disease and visual prognosis at 3 months. These findings would be useful to guide the individual timing choices of non-mRNA COVID-19 vaccination in this clinically vulnerable population. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR2100049467.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qiuying Wu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yuxian Lai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Lingyu Dai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yu Gao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yao Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Chunjiang Zhou
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Ophthalmology, Chongqing, China
- Chongqing Eye Institute, Chongqing, China
- Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Yuan X, Li J, Luo L, Zhong Z, Xie X. Advances in Sorptive Removal of Hexavalent Chromium (Cr(VI)) in Aqueous Solutions Using Polymeric Materials. Polymers (Basel) 2023; 15:polym15020388. [PMID: 36679268 PMCID: PMC9863183 DOI: 10.3390/polym15020388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/14/2023] Open
Abstract
Sorptive removal of hexavalent chromium (Cr(VI)) bears the advantages of simple operation and easy construction. Customized polymeric materials are the attracting adsorbents due to their selectivity, chemical and mechanical stabilities. The mostly investigated polymeric materials for removing Cr(VI) were reviewed in this work. Assembling of robust functional groups, reduction of self-aggregation, and enhancement of stability and mechanical strength, were the general strategies to improve the performance of polymeric adsorbents. The maximum adsorption capacities of these polymers toward Cr(VI) fitted by Langmuir isotherm model ranged from 3.2 to 1185 mg/g. Mechanisms of complexation, chelation, reduction, electrostatic attraction, anion exchange, and hydrogen bonding were involved in the Cr(VI) removal. Influence factors on Cr(VI) removal were itemized. Polymeric adsorbents performed much better in the strong acidic pH range (e.g., pH 2.0) and at higher initial Cr(VI) concentrations. The adsorption of Cr(VI) was an endothermic reaction, and higher reaction temperature favored more robust adsorption. Anions inhibited the removal of Cr(VI) through competitive adsorption, while that was barely affected by cations. Factors that affected the regeneration of these adsorbents were summarized. To realize the goal of industrial application and environmental protection, removal of the Cr(VI) accompanied by its detoxication through reduction is highly encouraged. Moreover, development of adsorbents with strong regeneration ability and low cost, which are robust for removing Cr(VI) at trace levels and a wider pH range, should also be an eternally immutable subject in the future. Work done will be helpful for developing more robust polymeric adsorbents and for promoting the treatment of Cr(VI)-containing wastewater.
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Affiliation(s)
- Xiaoqing Yuan
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
| | - Jingxia Li
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
| | - Lin Luo
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
| | - Zhenyu Zhong
- Hunan Research Academy of Environmental Sciences, Changsha 410014, China
- Correspondence: (Z.Z.); (X.X.)
| | - Xiande Xie
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
- Correspondence: (Z.Z.); (X.X.)
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Wang X, He Q, Zhou C, Xu Y, Liu D, Fujiwara N, Kubota N, Click A, Henderson P, Vancil J, Marquez CA, Gunasekaran G, Schwartz ME, Tabrizian P, Sarpel U, Fiel MI, Diao Y, Sun B, Hoshida Y, Liang S, Zhong Z. Prolonged hypernutrition impairs TREM2-dependent efferocytosis to license chronic liver inflammation and NASH development. Immunity 2023; 56:58-77.e11. [PMID: 36521495 PMCID: PMC9839616 DOI: 10.1016/j.immuni.2022.11.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/12/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Abstract
Obesity-induced chronic liver inflammation is a hallmark of nonalcoholic steatohepatitis (NASH)-an aggressive form of nonalcoholic fatty liver disease. However, it remains unclear how such a low-grade, yet persistent, inflammation is sustained in the liver. Here, we show that the macrophage phagocytic receptor TREM2, induced by hepatocyte-derived sphingosine-1-phosphate, was required for efferocytosis of lipid-laden apoptotic hepatocytes and thereby maintained liver immune homeostasis. However, prolonged hypernutrition led to the production of proinflammatory cytokines TNF and IL-1β in the liver to induce TREM2 shedding through ADAM17-dependent proteolytic cleavage. Loss of TREM2 resulted in aberrant accumulation of dying hepatocytes, thereby further augmenting proinflammatory cytokine production. This ultimately precipitated a vicious cycle that licensed chronic inflammation to drive simple steatosis transition to NASH. Therefore, impaired macrophage efferocytosis is a previously unrecognized key pathogenic event that enables chronic liver inflammation in obesity. Blocking TREM2 cleavage to restore efferocytosis may represent an effective strategy to treat NASH.
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Affiliation(s)
- Xiaochen Wang
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Qifeng He
- Department of General Surgery, Nanjing First Hospital, The Affiliated Nanjing Hospital of Nanjing Medical University, Nanjing 210006, Jiangsu, China
| | - Chuanli Zhou
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Yueyuan Xu
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Center for Advanced Genomic Technologies, Duke University Medical Center, Durham, NC 27710, USA
| | - Danhui Liu
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Naoto Fujiwara
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Naoto Kubota
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Arielle Click
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Polly Henderson
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Janiece Vancil
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Cesia Ammi Marquez
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Ganesh Gunasekaran
- Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myron E Schwartz
- Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Parissa Tabrizian
- Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Umut Sarpel
- Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maria Isabel Fiel
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yarui Diao
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Center for Advanced Genomic Technologies, Duke University Medical Center, Durham, NC 27710, USA
| | - Beicheng Sun
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu, China
| | - Yujin Hoshida
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Shuang Liang
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Zhenyu Zhong
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
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Zhong Z, Yang T, Liu S, Wang S, Zhou S, Du S, Zheng L, Wang X, Wang H, Wang Y, Gao M. Case report: Gene mutation analysis and skin imaging of isolated café-au-lait macules. Front Genet 2023; 14:1126555. [PMID: 37025448 PMCID: PMC10071509 DOI: 10.3389/fgene.2023.1126555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 03/07/2023] [Indexed: 04/08/2023] Open
Abstract
Background: Café-au-lait macules (CALMs) are common birthmarks associated with several genetic syndromes, such as neurofibromatosis type 1 (NF1). Isolated CALMs are defined as multiple café-au-lait macules in patients without any other sign of NF1. Typical CALMs can have predictive significance for NF1, and non-invasive techniques can provide more accurate results for judging whether café-au-lait spots are typical. Objectives: The study aimed to investigate gene mutations in six Chinese Han pedigrees of isolated CALMs and summarize the characteristics of CALMs under dermoscopy and reflectance confocal microscopy (RCM). Methods: In this study, we used Sanger sequencing to test for genetic mutations in six families and whole exome sequencing (WES) in two families. We used dermoscopy and RCM to describe the imaging characteristics of CALMs. Results: In this study, we tested six families for genetic mutations, and two mutations were identified as novel mutations. The first family identified [NC_000017.11(NM_001042492.2):c.7355G>A]. The second family identified [NC_000017.11(NM_001042492.2):c.2739_2740del]. According to genotype-phenotype correlation analyses, proband with frameshift mutation tended to have a larger number of CALMs and a higher rate of having atypical CALMs. Dermoscopy showed uniform and consistent tan-pigmented network patches with poorly defined margins with a lighter color around the hair follicles. Under RCM, the appearance of NF1 comprised the increased pigment granules in the basal layer and significantly increased refraction. Conclusion: A new heterozygous mutation and a new frameshift mutation of NF1 were reported. This article can assist in summarizing the properties of dermoscopy and RCM with CALMs.
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Affiliation(s)
- Zhenyu Zhong
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Tianhui Yang
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Siqi Liu
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Shan Wang
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Shan Zhou
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Shuli Du
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Liyun Zheng
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiuli Wang
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hui Wang
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yifan Wang
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Min Gao
- Department of Dermatology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
- *Correspondence: Min Gao,
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Zhong Z, He P, Hua H, Bai H, Zhang H, Lu S, Qiu W, Gu Y, Qin X. Investigating the mechanism of interactive regulation of B-cell lymphoma-2/Beclin 1 through electroacupuncture intervention during reperfusion in myocardial ischemia-reperfusion injury in a rat model. J Physiol Pharmacol 2022; 73. [PMID: 37087569 DOI: 10.26402/jpp.2022.6.10] [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] [Received: 11/06/2022] [Accepted: 12/31/2022] [Indexed: 04/24/2023]
Abstract
To observe the regulation of B-cell lymphoma-2 (Bcl-2)/Beclin 1 interaction through electroacupuncture (EA) intervention during reperfusion and to investigate the EA mechanism of apoptosis-autophagy interactive regulation against myocardial ischemia-reperfusion injury (MIRI). A total of 48 adult Sprague Dawley (SD) rats were randomly divided into the sham-operated group (group Sham), the model group (group Model), the EA group (group EA), and the JNK inhibitor (SP600125) group (group JNK), with 12 rats in each group. Biospecimens were collected randomly from six rats in each group four hours after reperfusion. Evans Blue and triphenyl tetrazolium chloride double-staining were applied to observe each group's myocardial damage area and risk area. We collected 4 ml of blood by abdominal aortic method to detect serum troponin cTnI level by enzyme-linked immunosorbent assay (ELISA). For the remaining six in each group, a part of myocardial tissue below the ligation line was stored in 4% paraformaldehyde for immunohistochemistry and TUNEL staining; the other amount of myocardial tissue was detected by Western blotting to determine the expression levels of Bcl-2, Beclin1, and the phosphorylation levels of Thr69, Ser70, and Ser87 in Bcl-2. In results: electroacupuncture (EA) intervention during reperfusion significantly reduced the myocardial infarction area, cTnI level, and myocardial apoptosis, upregulated Bcl-2 expression, downregulated Beclin 1 expression and inhibited phosphorylation levels of Thr69, Ser70, and Ser87 in Bcl-2. We concluded that EA effectively inhibited apoptosis by upregulating Bcl-2 expression and inhibiting the phosphorylation of Thr69, Ser70, and Ser87 in Bcl-2. This reduced the separation of Bcl-2 and Beclin 1, restrains excessive autophagy, alleviates MIRI, and has a protective effect on myocardial tissue.
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Affiliation(s)
- Z Zhong
- Jiangyin Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangyin, China
| | - P He
- Jiangyin Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangyin, China
| | - H Hua
- Jiangyin Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangyin, China
| | - H Bai
- School of Acupuncture-Moxibustion and Tuina of Nanjing University of Traditional Chinese Medicine, Nanjing, China.
| | - H Zhang
- School of Acupuncture-Moxibustion and Tuina of Nanjing University of Traditional Chinese Medicine, Nanjing, China
| | - S Lu
- School of Acupuncture-Moxibustion and Tuina of Nanjing University of Traditional Chinese Medicine, Nanjing, China
- Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine, Nanjing, China
| | - W Qiu
- Jiangyin Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangyin, China
| | - Y Gu
- School of Acupuncture-Moxibustion and Tuina of Nanjing University of Traditional Chinese Medicine, Nanjing, China
| | - X Qin
- Traditional Chinese Medicine Hospital of Tongzhou District, Nantong, Jiangsu, China.
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23
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Zhong Z, Wu Q, Lai Y, Dai L, Gao Y, Liao W, Feng X, Yang P. Risk for uveitis relapse after COVID-19 vaccination. J Autoimmun 2022; 133:102925. [PMID: 36209692 PMCID: PMC9531657 DOI: 10.1016/j.jaut.2022.102925] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/16/2022] [Accepted: 09/27/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Several studies suggested that coronavirus disease 2019 (COVID-19) vaccination may lead to uveitis, a vision-threatening condition often associated with a variety of autoimmune or autoinflammatory diseases. This study aims to explore factors that influence the risk of uveitis relapse after COVID-19 vaccination to guide the prevention of disease. METHODS Uveitis relapse was evidenced by worsening activity of intraocular inflammation (e.g. anterior chamber cells, vitreous haze) as defined by the Standardization of Uveitis Nomenclature Working Group. Time to uveitis relapse since the administration of each dose of COVID-19 vaccine was compared across participants with modifiable variables. RESULTS The primary analysis included 438 non-COVID-19 participants with 857 doses of COVID-19 vaccine administered in total. The median age was 41 years (interquartile range, 30 to 51), and 57.3% were female. A total of 39 episodes of uveitis relapse events occurred in 34 patients after the receipt of a dose of COVID-19 vaccine within 30 days. The median time to relapse after vaccination was 5 days (interquartile range, 1 to 14). Concomitant use of systemic glucocorticoids at the time of vaccination was independently associated with a decrease in risk of relapse after vaccination (HR, 0.23 [95% CI, 0.07-0.74]; P value = 0.014). There was a trend in attenuating the risk of relapse with increasing prednisone dose from none to less than 20 mg per day and then to 20 mg per day or greater (P value for trend = 0.029). CONCLUSIONS Concomitant treatment with systemic glucocorticoids for uveitis at the time of COVID-19 vaccination was associated with a dose-dependent lower risk of uveitis relapse after vaccination.
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Affiliation(s)
| | | | | | | | | | | | | | - Peizeng Yang
- Corresponding author. The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Chongqing, 400016, China
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Huang K, Jiao Z, Cai Y, Zhong Z. Artificial intelligence-based intelligent surveillance for reducing nurses' working hours in nurse-patient interaction: A two-wave study. J Nurs Manag 2022; 30:3817-3826. [PMID: 36057432 DOI: 10.1111/jonm.13787] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 08/01/2022] [Accepted: 08/29/2022] [Indexed: 12/30/2022]
Abstract
AIM To explore the feasibility of applying artificial intelligence in nurse-patient interaction to assist nurses in grasping patient status and reducing their working hours. BACKGROUND Artificial intelligence has been reshaping the health care industry and has immense potential in nursing care, but there is still a lack of suitable artificial intelligence methods to improve the efficiency of the nurse-patient interaction that takes much time of nurses. METHODS An artificial intelligence-based intelligent surveillance system was developed to reduce nurses' working hours in nurse-patient interaction, and a two-wave follow-up design was adopted in this study. The data were collected in a nursing home in Guangzhou, China. The first and second waves of data were recorded in the same format on the same patients by the same nurses. The only difference is the deployment of artificial intelligence technology between the two waves of data. RESULTS Artificial intelligence-based intelligent surveillance can provide statistical health data for nurses to grasp the patients' status more intuitively, reducing the average nurse-patient interaction time per patient from 18 to 10 min. In addition, artificial intelligence's real-time response to the abnormal health status of patients not only avoids more serious secondary injuries for patients but also prevents nurses from consuming energy in detecting emergencies. CONCLUSION The application of artificial intelligence has great potential to reduce nurses' working hours in nurse-patient interaction. There are still many limitations in artificial intelligence technology at this stage, and it is not feasible to completely rely on artificial intelligence. However, as a tool to assist decision-making, it can still have beneficial impacts on nursing management. IMPLICATIONS FOR NURSING MANAGEMENT Artificial intelligence has great potential in daily nurse-patient interaction, and nursing facility managers and nurses need to be more open to this new technology.
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Affiliation(s)
- Kai Huang
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Zeyu Jiao
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Yingjie Cai
- Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhenyu Zhong
- Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
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Wu L, Zhuang J, Chen W, Tang Y, Hou C, Li C, Zhong Z, Luo S. Data augmentation based on multiple oversampling fusion for medical image segmentation. PLoS One 2022; 17:e0274522. [PMID: 36256637 PMCID: PMC9578635 DOI: 10.1371/journal.pone.0274522] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 08/28/2022] [Indexed: 11/18/2022] Open
Abstract
A high-performance medical image segmentation model based on deep learning depends on the availability of large amounts of annotated training data. However, it is not trivial to obtain sufficient annotated medical images. Generally, the small size of most tissue lesions, e.g., pulmonary nodules and liver tumours, could worsen the class imbalance problem in medical image segmentation. In this study, we propose a multidimensional data augmentation method combining affine transform and random oversampling. The training data is first expanded by affine transformation combined with random oversampling to improve the prior data distribution of small objects and the diversity of samples. Secondly, class weight balancing is used to avoid having biased networks since the number of background pixels is much higher than the lesion pixels. The class imbalance problem is solved by utilizing weighted cross-entropy loss function during the training of the CNN model. The LUNA16 and LiTS17 datasets were introduced to evaluate the performance of our works, where four deep neural network models, Mask-RCNN, U-Net, SegNet and DeepLabv3+, were adopted for small tissue lesion segmentation in CT images. In addition, the small tissue segmentation performance of the four different deep learning architectures on both datasets could be greatly improved by incorporating the data augmentation strategy. The best pixelwise segmentation performance for both pulmonary nodules and liver tumours was obtained by the Mask-RCNN model, with DSC values of 0.829 and 0.879, respectively, which were similar to those of state-of-the-art methods.
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Affiliation(s)
- Liangsheng Wu
- Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou, China
- Academy of Contemporary Agriculture Engineering Innovations, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Jiajun Zhuang
- Academy of Contemporary Agriculture Engineering Innovations, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Weizhao Chen
- Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou, China
| | - Yu Tang
- Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou, China
- * E-mail:
| | - Chaojun Hou
- Academy of Contemporary Agriculture Engineering Innovations, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Chentong Li
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Zhenyu Zhong
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China
| | - Shaoming Luo
- Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou, China
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26
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Tan H, Pan S, Zhong Z, Su G, Kijlstra A, Yang P. Association between Fine Particulate Air Pollution and the Onset of Uveitis in Mainland China. Ocul Immunol Inflamm 2022; 30:1810-1815. [PMID: 34379033 DOI: 10.1080/09273948.2021.1960381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE Although it has long been recognized that air pollution can affect the immune system and human ocular symptoms, it is uncertain whether air pollutants may also contribute to the development of uveitis. This study aimed to quantify the association of particulate matters less than 2.5 μm (PM2.5) with uveitis onset. METHODS We combined monthly averages of PM2.5 concentrations, with data from the largest database of uveitis cases to assess the association between PM2.5 and uveitis onset. We further estimated the uveitis burden that was attributed to PM2.5 exposure and used choropleth maps to precisely characterize geographical variations. RESULTS We found that a 10 μg/m3 increase in PM2.5 concentration was associated with a one-case per 10 individuals increase in uveitis onset across the dataset. Our results further suggest that PM2.5 concentrations above the level of the minimum exposure are responsible for 13% of novel uveitis cases in our cohort. Conclusion: These findings provide evidence supporting the association between fine particulate air pollution and uveitis onset.
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Affiliation(s)
- Handan Tan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, P. R. China
| | - Su Pan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, P. R. China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, P. R. China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, P. R. China
| | - Aize Kijlstra
- University Eye Clinic Maastricht, Maastricht, The Netherlands
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, P. R. China
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27
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Liu L, Sun B, Zhang F, Zhong Z, Zhang Y, Li F, Zhang T, Khatib H, Wang X. lncRNA MPFAST Promotes Proliferation and Fatty Acid Synthesis of Bovine Mammary Epithelial Cell by Sponging miR-103 Regulating PI3K-AKT Pathway. J Agric Food Chem 2022; 70:12004-12013. [PMID: 36112519 DOI: 10.1021/acs.jafc.2c04789] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Long noncoding RNAs (lncRNAs) have an essential role in mammary gland development and lactation. Our earlier study showed that the lncRNA mammary proliferation and fatty acid synthesis-associated transcript (MPFAST) is highly expressed in the Holstein cow mammary gland during the middle lactation period compared to the dry period, which indicates its potential role in lactation. Therefore, gain- and loss-of-function experiments were performed on bovine mammary epithelial cells (BMECs) by cell counting kit 8 (CCK8), 5-ethynyl-2'-deoxyuridine (EdU), real-time quantitative polymerase chain reaction (RT-qPCR), and western blot. The results indicated that MPFAST promoted the viability and proliferation of BMECs. The oil red O staining and cellular triglyceride assay further showed that MPFAST promoted the number of lipid droplets and cellular triglyceride synthesis in BMECs. Bioinformatics analysis showed that MPFAST could act as a molecular sponge for miR-103, and PIK3R1 was a potential target of miR-103, which was further confirmed by the dual-luciferase reporter assay, RT-qPCR, and western blot. The overexpression of MPFAST promoted the expression of PIK3R1 at mRNA and protein levels. It also significantly increased the mRNA relative expression levels of AKT, mTOR, and SREBP1, and the protein relative expression levels of AKT and p-AKT in the PI3K-AKT signaling pathway. In contrast, the inhibition of MPFAST resulted in the downregulation of the PI3K-AKT signaling pathway genes. These results indicated that MPFAST regulates the expression of the genes in the PI3K-AKT signaling pathway through sponging miR-103 and promotes the proliferation and synthesis of fatty acids of BMECs. Our results would provide a new direction for further exploring the regulatory mechanism of lncRNA in the mammary gland.
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Affiliation(s)
- Lihua Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Bing Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Fan Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Zhenyu Zhong
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Yuelang Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Fang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Tongtong Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Hasan Khatib
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Xin Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, Shaanxi, China
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Wang Y, Wang S, Zheng L, Wang X, Wang H, Zhong Z, Liu S, Zheng X, Gao M. Synovitis, Acne, Pustulosis, Hyperostosis, and Osteitis (SAPHO) Syndrome with Cutis Verticis Gyrata: Case Report and Review of Literature. Clin Cosmet Investig Dermatol 2022; 15:1415-1420. [PMID: 35910507 PMCID: PMC9329683 DOI: 10.2147/ccid.s372522] [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] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/14/2022] [Indexed: 12/01/2022]
Abstract
SAPHO (synovitis, acne, pustulosis, hyperostosis, and osteitis) syndrome is a rare disease clinically characterized by a wide range of cutaneous and osteoarticular manifestations. Here, we report a case of SAPHO syndrome with cutis verticis gyrata (CVG) and investigated the genetic causes in the four members of this pedigree. After failure of conventional treatments, a recombinant human TNF-α receptor II:IgG Fc fusion protein (rhTNFR:Fc, YISAIPU®) achieved good control of the disease at the 2-year follow-up. We did not identify any pathogenic mutation in this pedigree. We also summarized the clinical and therapeutic characteristics of 83 patients with SAPHO syndrome through the China National Knowledge Infrastructure (CKNI) database from 2016 to 2021. Patients with acne were young and predominantly male. About 45.8% patients were treated with biological therapies or traditional Chinese medicine (TCM), 84.2% of which showed positive effects against cutaneous and osteoarticular manifestations. We report a case of SAPHO syndrome with CVG that was successfully treated with rhTNFR:Fc. Our results reveal the genetic heterogeneity involved. Biologics and TCM are likely alternative options for the treatment of SAPHO syndrome.
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Affiliation(s)
- Yifan Wang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Shan Wang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Liyun Zheng
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Xiuli Wang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Hui Wang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Zhenyu Zhong
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Siqi Liu
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Xiaodong Zheng
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
| | - Min Gao
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, Anhui, People's Republic of China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People's Republic of China
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29
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Lv M, Zhong Z, Huang M, Tian Q, Jiang R, Chen J. Corrigendum to "lncRNA H19 regulates epithelial-mesenchymal transition and metastasis of bladder cancer by miR-29b-3p as competing endogenous RNA" [Biochim. Biophys. Acta Mol. Cell Res. 1864 (2017) 1887-1899/BBAMCR-17-151R2]. Biochim Biophys Acta Mol Cell Res 2022; 1869:119281. [PMID: 35533631 DOI: 10.1016/j.bbamcr.2022.119281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Mengxin Lv
- Department of Cell Biology and Genetics, Chongqing Medical University, Chongqing 400016, PR China
| | - Zhenyu Zhong
- The First Clinical College, Chongqing Medical University, Chongqing 400016, PR China
| | - Mengge Huang
- College of Clinical Medicine, Southwest Medical University, Luzhou 646000, Sichuan, PR China
| | - Qiang Tian
- Department of Cell Biology and Genetics, Southwest Medical University, Luzhou 646000, Sichuan, PR China
| | - Rong Jiang
- Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Junxia Chen
- Department of Cell Biology and Genetics, Chongqing Medical University, Chongqing 400016, PR China.
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30
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Tao W, Tuo Z, Wu F, Mu K, Xu C, Shi Y, Sun Z, Wang Y, Li Y, Zhong Z, Zhou L, Wang J, Liu J, Du Y, Zhang S. Albumin-assembled Copper-Bismuth Bimetallic Sulfide Bioactive Nanosphere as an Amplifier of Oxidative Stress for Enhanced Radio-Chemodynamic Combination Therapy. Regen Biomater 2022; 9:rbac045. [PMID: 35855112 PMCID: PMC9290530 DOI: 10.1093/rb/rbac045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/24/2022] [Accepted: 06/15/2022] [Indexed: 11/24/2022] Open
Abstract
The tumor microenvironment with overexpressed hydrogen peroxide (H2O2) and reinforced antioxidative system (glutathione, GSH) becomes a double-edged sword for the accessibility of nano-therapy. Since reactive oxygen species (ROS) are easily quenched by the developed antioxidative network, ROS-based treatments such as chemodynamic therapy (CDT) and radiotherapy (RT) for killing cancer cells are severely attenuated. To overcome such limitations, a bioactive nanosphere system is developed to regulate intracellular oxidative stress for enhanced radio-chemodynamic combination therapy by using bovine serum albumin (BSA) based bioactive nanospheres that are BSA assembled with in situ generated copper-bismuth sulfide nanodots and diallyl trisulfide (DATS). The copper-bismuth sulfide nanodots react with H2O2 to produce •OH and release Cu2+. Then, the Cu2+ further depletes GSH to generate Cu+ for more •OH generation in the way of Fenton-like reaction. Such a cascade reaction can initiate •OH generation and GSH consumption to realize CDT. The elevation of ROS triggered by the DATS from BBCD nanospheres further augments the breaking of redox balance for the increased oxidative stress in 4T1 cells. With the sensitization of increased oxidative stress and high Z element Bi, an enhanced radio-chemodynamic combination therapy is achieved. The current work provides an enhanced radio-chemodynamic combination treatment for the majority of solid tumors by using the co-assembled bioactive nanospheres as an amplifier of oxidative stress.
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Affiliation(s)
- Weiyong Tao
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Zhan Tuo
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, 430022, China
| | - Feige Wu
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Ketao Mu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Department of Radiology, , Wuhan, 430030, China
| | - Cunjing Xu
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Yuxiao Shi
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Zeyu Sun
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Yifan Wang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Yan Li
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Zhenyu Zhong
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Lei Zhou
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Jianglin Wang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Jie Liu
- Sun Yat-sen University School of Biomedical Engineering, , Guangzhou, Guangdong, 510006, China
| | - Yingying Du
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
| | - Shengmin Zhang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology , Wuhan, 430074, China
- Huazhong University of Science and Technology NMPA Research Base of Regulatory Science for Medical Devices & Institute of Regulatory Science for Medical Devices, , Wuhan, 430074, China
- Huazhong University of Science and Technology Department of Biomedical Engineering, , Wuhan, 430074, China
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Tan X, Zhong Z, Wang Q, Su G, Cao Q, Kijlstra A, Yang P. Genetically predicted fasting blood glucose level plays a causal role in intraocular pressure: A Mendelian randomisation study. Clin Exp Ophthalmol 2022; 50:534-542. [DOI: 10.1111/ceo.14067] [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: 08/07/2021] [Revised: 02/21/2022] [Accepted: 02/23/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Xiao Tan
- The First Affiliated Hospital of Chongqing Medical University Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases Chongqing P. R. China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases Chongqing P. R. China
| | - Qingfeng Wang
- The First Affiliated Hospital of Chongqing Medical University Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases Chongqing P. R. China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases Chongqing P. R. China
| | - Qingfeng Cao
- The First Affiliated Hospital of Chongqing Medical University Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases Chongqing P. R. China
| | - Aize Kijlstra
- University Eye Clinic Maastricht Maastricht The Netherlands
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases Chongqing P. R. China
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Fujiwara N, Kubota N, Crouchet E, Koneru B, Marquez CA, Jajoriya AK, Panda G, Qian T, Zhu S, Goossens N, Wang X, Liang S, Zhong Z, Lewis S, Taouli B, Schwartz ME, Fiel MI, Singal AG, Marrero JA, Fobar AJ, Parikh ND, Raman I, Li QZ, Taguri M, Ono A, Aikata H, Nakahara T, Nakagawa H, Matsushita Y, Tateishi R, Koike K, Kobayashi M, Higashi T, Nakagawa S, Yamashita YI, Beppu T, Baba H, Kumada H, Chayama K, Baumert TF, Hoshida Y. Molecular signatures of long-term hepatocellular carcinoma risk in nonalcoholic fatty liver disease. Sci Transl Med 2022; 14:eabo4474. [PMID: 35731891 PMCID: PMC9236162 DOI: 10.1126/scitranslmed.abo4474] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [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] [Indexed: 12/24/2022]
Abstract
Prediction of hepatocellular carcinoma (HCC) risk is an urgent unmet need in patients with nonalcoholic fatty liver disease (NAFLD). In cohorts of 409 patients with NAFLD from multiple global regions, we defined and validated hepatic transcriptome and serum secretome signatures predictive of long-term HCC risk in patients with NAFLD. A 133-gene signature, prognostic liver signature (PLS)-NAFLD, predicted incident HCC over up to 15 years of longitudinal observation. High-risk PLS-NAFLD was associated with IDO1+ dendritic cells and dysfunctional CD8+ T cells in fibrotic portal tracts along with impaired metabolic regulators. PLS-NAFLD was validated in independent cohorts of patients with NAFLD who were HCC naïve (HCC incidence rates at 15 years were 22.7 and 0% in high- and low-risk patients, respectively) or HCC experienced (de novo HCC recurrence rates at 5 years were 71.8 and 42.9% in high- and low-risk patients, respectively). PLS-NAFLD was bioinformatically translated into a four-protein secretome signature, PLSec-NAFLD, which was validated in an independent cohort of HCC-naïve patients with NAFLD and cirrhosis (HCC incidence rates at 15 years were 37.6 and 0% in high- and low-risk patients, respectively). Combination of PLSec-NAFLD with our previously defined etiology-agnostic PLSec-AFP yielded improved HCC risk stratification. PLS-NAFLD was modified by bariatric surgery, lipophilic statin, and IDO1 inhibitor, suggesting that the signature can be used for drug discovery and as a surrogate end point in HCC chemoprevention clinical trials. Collectively, PLS/PLSec-NAFLD may enable NAFLD-specific HCC risk prediction and facilitate clinical translation of NAFLD-directed HCC chemoprevention.
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Affiliation(s)
- Naoto Fujiwara
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo; Tokyo, 113-8655, Japan
| | - Naoto Kubota
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Emilie Crouchet
- Inserm, U1110, Institut de Recherche sur les Maladies Virales et Hépatiques, University of Strasbourg and IHU, Pole Hépato-digestif, Strasbourg University Hospitals; Strasbourg, 67000, France
| | - Bhuvaneswari Koneru
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Cesia A Marquez
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Arun K Jajoriya
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Gayatri Panda
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Tongqi Qian
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Shijia Zhu
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Nicolas Goossens
- Division of Gastroenterology and Hepatology, Geneva University Hospital; Geneva, 44041, Switzerland
| | - Xiaochen Wang
- Department of Immunology, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Shuang Liang
- Department of Immunology, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Zhenyu Zhong
- Department of Immunology, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Sara Lewis
- Department of Radiology, Icahn School of Medicine at Mount Sinai; New York, 10029, U.S
| | - Bachir Taouli
- Department of Radiology, Icahn School of Medicine at Mount Sinai; New York, 10029, U.S
| | - Myron E Schwartz
- Department of Surgery, Icahn School of Medicine at Mount Sinai; New York, 10029, U.S
| | - Maria Isabel Fiel
- Department of Pathology, Icahn School of Medicine at Mount Sinai; New York, 10029, U.S
| | - Amit G Singal
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Jorge A Marrero
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
- Division of Gastroenterology, Perelman School of Medicine, University of Pennsylvania; Philadelphia, 19104, U.S
| | - Austin J Fobar
- Division of Gastroenterology and Hepatology, University of Michigan; Ann Arbor, 48109, U.S
| | - Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan; Ann Arbor, 48109, U.S
| | - Indu Raman
- BioCenter Microarray Core Facility, Department of Immunology, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Quan-Zhen Li
- BioCenter Microarray Core Facility, Department of Immunology, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
| | - Masataka Taguri
- Department of Data Science, School of Data Science, Yokohama City University; Yokohama, 236-0027, Japan
| | - Atsushi Ono
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University; Hiroshima, 734-8551, Japan
| | - Hiroshi Aikata
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University; Hiroshima, 734-8551, Japan
| | - Takashi Nakahara
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University; Hiroshima, 734-8551, Japan
| | - Hayato Nakagawa
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo; Tokyo, 113-8655, Japan
| | - Yuki Matsushita
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo; Tokyo, 113-8655, Japan
| | - Ryosuke Tateishi
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo; Tokyo, 113-8655, Japan
| | - Kazuhiko Koike
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo; Tokyo, 113-8655, Japan
| | | | - Takaaki Higashi
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University; Kumamoto, 860-8555, Japan
| | - Shigeki Nakagawa
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University; Kumamoto, 860-8555, Japan
| | - Yo-ichi Yamashita
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University; Kumamoto, 860-8555, Japan
| | - Toru Beppu
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University; Kumamoto, 860-8555, Japan
| | - Hideo Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University; Kumamoto, 860-8555, Japan
| | - Hiromitsu Kumada
- Department of Hepatology, Toranomon Hospital; Tokyo, 105-0001, Japan
| | - Kazuaki Chayama
- Collaborative Research Laboratory of Medical Innovation, Research Center for Hepatology and Gastroenterology, Hiroshima University; Hiroshima, 734-8551, Japan
- RIKEN Center for Integrative Medical Sciences; Yokohama, 230-0045, Japan
| | - Thomas F Baumert
- Inserm, U1110, Institut de Recherche sur les Maladies Virales et Hépatiques, University of Strasbourg and IHU, Pole Hépato-digestif, Strasbourg University Hospitals; Strasbourg, 67000, France
| | - Yujin Hoshida
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center; Dallas, 75390, U.S
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Zhong Z, Huo S, Liu D, Wang X, Liang S. dNTP catabolism is a macrophage-intrinsic gatekeeper preventing NLRP3 inflammasome hyperactivation. The Journal of Immunology 2022. [DOI: 10.4049/jimmunol.208.supp.164.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Abstract
Aberrant activation of NLRP3 inflammasome drives the development of many diseases, including atherosclerosis, gout, osteoarthritis, Alzheimer’s disease, macular degeneration, type 2 diabetes and cancer. Our recent work demonstrated that new mitochondrial DNA (mtDNA) synthesis, initiated at the inflammasome priming step, is a prerequisite for producing oxidized mtDNA (ox-mtDNA)—an activating ligand of NLRP3. However, little is known regarding how innate immune cells, such as macrophages, manage to prevent NLRP3 inflammasome hyperactivation under physiological conditions, thereby avoiding the development of immunopathology. Here we show that SAMHD1, a cytosolic dNTP hydrolase, functions as a macrophage-intrinsic gatekeeper that restricts NLRP3 inflammasome hyperactivation. Mechanistically, inflammasome priming activates SAMHD1 to inhibit cytosolic dNTP buildup, thereby preventing their transport into mitochondria. This in turn protects mitochondria from uncontrolled new mtDNA synthesis and ox-mtDNA production, ultimately attenuating the extent of NLRP3 inflammasome activation. Consistent with these findings, SAMHD1-deficient mice exhibited NLRP3 inflammasome hyperactivation and developed exacerbated immunopathology in vivo relative to their wild-type littermates in response to various inflammatory insults. Together, these results establish cytosolic dNTP catabolism as a physiologically important protective mechanism to restrict NLRP3 hyperactivation, thereby linking dysregulation of nucleotide metabolism with the onset of NLRP3-dependent immunopathology.
Supported by NIH (K22AI135074, R35GM142654), CPRIT (#RR180014)
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Affiliation(s)
- Zhenyu Zhong
- 1Department of Immunology, The Univ. of Texas Southwestern Med. Ctr
| | - Shanshan Huo
- 1Department of Immunology, The Univ. of Texas Southwestern Med. Ctr
| | - Danhui Liu
- 1Department of Immunology, The Univ. of Texas Southwestern Med. Ctr
| | - Xiaochen Wang
- 1Department of Immunology, The Univ. of Texas Southwestern Med. Ctr
| | - Shuang Liang
- 1Department of Immunology, The Univ. of Texas Southwestern Med. Ctr
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Liao W, Zhong Z, Su G, Feng X, Yang P. Comparative Efficacy and Safety of Advanced Intravitreal Therapeutic Agents for Noninfectious Uveitis: A Systematic Review and Network Meta-Analysis. Front Pharmacol 2022; 13:749312. [PMID: 35450045 PMCID: PMC9017745 DOI: 10.3389/fphar.2022.749312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 02/15/2022] [Indexed: 11/18/2022] Open
Abstract
Background: To compare the efficacy and safety of advanced intravitreal therapeutic regimens, including a dexamethasone implant at 350 and 700 μg; a fluocinolone acetonide (FA) implant, 0.2 µg/day, 0.59 and 2.1 mg; intravitreal bevacizumab, 1.25 mg; intravitreal ranibizumab, 0.5 mg; intravitreal triamcinolone acetonide (IVTA), 2 and 4 mg; and standard of care (SOC, systemic therapy) for noninfectious uveitis. Methods: We searched the Cochrane Library database, EMBASE, Medline, clinicaltrials.gov until April 2021 with 13 RCTs (1806 participants) identified and conducted a pairwise and Bayesian network meta-analysis with random effects. Results: No specific regimen showed a statistically significant advantage or disadvantage to another treatment regimen with regard to efficacy. However, the FA implant, 0.59 mg was associated with a higher risk of cataract (RR 4.41, 95% CI 1.51–13.13) and raise in intraocular pressure (IOP) (RR 2.53 95% CI 1.14–6.25) compared with SOC at 24 months. IVTA, 4 mg at 6 months was associated with lower risk of IOP rising compared with FA implant, 0.2 µg/day at 36 months (RR 3.43 95% CI 1.12–11.35). Conclusion: No intravitreal therapeutic regimens showed a significant advantage or disadvantage with regard to efficacy. However, SOC was associated with lower risk of side effects compared with FA implants. IVTA, 4 mg, might be the best choice with lowest risk of IOP rising. Systematic Review Registration:clinicaltrials.gov, identifier CRD42020172953
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Affiliation(s)
- Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiaojie Feng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Lei H, Huang K, Jiao Z, Tang Y, Zhong Z, Cai Y. Bayberry segmentation in a complex environment based on a multi-module convolutional neural network. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.108556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Zhong Z, Ding J, Su G, Liao W, Gao Y, Zhu Y, Deng Y, Li F, Du L, Gao Y, Yang P. Genetic and Clinical Features of Blau Syndrome among Chinese Patients with Uveitis. Ophthalmology 2022; 129:821-828. [DOI: 10.1016/j.ophtha.2022.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 03/07/2022] [Accepted: 03/14/2022] [Indexed: 11/26/2022] Open
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Zhong Z, Liao W, Gao Y, Su G, Feng X, Yang P. Evaluation of Sensitivity and Specificity of Diagnostic Criteria for Behçet's disease in the Absence of Gold Standard. Rheumatology (Oxford) 2022; 61:3667-3676. [PMID: 35021208 DOI: 10.1093/rheumatology/keac018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/07/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Performance of existing diagnostic criteria for Behçet's disease (BD) is usually evaluated by comparison with expert opinions, which may be limited by misclassification and disagreement among experts. We aim to evaluate these criteria in absence of gold standard. METHODS We obtained two datasets involving possible BD and other mimickers from a uveitis registry using case-cohort and nested case-control analyses, respectively. With Bayesian inference approach, sensitivity and specificity of ISG and ICBD criteria were simultaneously estimated when true BD state was unknown. RESULTS 2440 and 2224 participants were included in case-cohort and nested case-control analyses, respectively. In case-cohort analysis, with 4 or higher scores for BD diagnosis, ICBD criteria showed higher sensitivity (median, 97.6%; 95% CI, 96.9-98.2) than ISG criteria (median, 90.0%; 95% CI, 88.8-91.2) but had lower specificity (median, 90.8%; 95% CI, 89.4-92.1) than ISG criteria (median, 98.8%; 95% CI, 98.3-99.3). With 5 or higher scores for diagnosis, ICBD criteria demonstrated higher sensitivity (median, 97.5%; 95% CI, 96.8-98.1) and specificity (median, 99.6%; 95% CI, 99.3-99.8) than the sensitivity (median, 92.3%; 95% CI, 91.2-93.3) and specificity (median, 98.8%; 95% CI, 98.2-99.2) of ISG criteria. Highest diagnostic consistency were observed between ISG criteria and ICBD criteria with 5 or higher scores for diagnosis (Kappa = 0.999; p< 0.001). Nested case-control analysis showed similar results. CONCLUSION ICBD criteria showed optimum discriminatory properties in sensitivity and specificity with 5 or higher scores for BD diagnosis in uveitis. Diagnostic threshold of ICBD criteria could be considered adjustable according to medical specialty, disease prevalence and local practice characteristics.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yu Gao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiaojie Feng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Wang H, Zhong Z, Wang X, Zheng L, Wang Y, Wang S, Liu S, Li H, Guo Z, Gao M. Case Report: Amyloidosis Cutis Dyschromica: Dermoscopy and Reflectance Confocal Microscopy and Gene Mutation Analysis of a Chinese Pedigree. Front Med (Lausanne) 2021; 8:774266. [PMID: 34926516 PMCID: PMC8671158 DOI: 10.3389/fmed.2021.774266] [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: 09/11/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Amyloidosis cutis dyschromica (ACD) is a rare type of primary localized cutaneous amyloidosis. Non-invasive techniques can provide important clues for early diagnosis. Objectives: To highlight the characteristic imaging changes of ACD under dermoscopy and reflectance confocal microscopy (RCM), investigate gene mutations in a Chinese Han pedigree of ACD, and analyze the genotype-phenotype correlation. Methods: Dermoscopy and RCM examinations were completed together for the pedigree, and the imaging characteristics were described. The diagnosis of ACD was confirmed by pathological examination. Sequencing was performed followed by bioinformatics and genotype-phenotype correlation. ACD-related articles published on PubMed between January 1970 and March 2021 were reviewed and summarized. Results: In ACD, dermoscopy showed patchy white hypopigmentation and brownish spots, stripes, or hyperpigmented blotches and patches. RCM showed a highly refractive substance with clumpy, dotted, and linear structures inside the papillary dermis. Sequencing identified glycoprotein non-metastatic melanoma protein B (GPNMB) missense mutations [c.393T>G (p.Y131X; NM_001005340.2)] and a frameshift deletion mutation [c.719_720delTG (p.V240fs; NM_001005340.2)]. The ANNOtate VARiation (ANNOVAR) software predicted that c.393T>G is a pathogenic mutation. The literature review found 14 mutations, namely, 5 (35.7%) frameshift mutations, 4 (28.6%) non-sense mutations, 4 (28.6%) missense mutations, and 1 (7.1%) splice site mutation. Blisters and epidermolysis were observed in several cases, but there was no significant association between clinical manifestations and mutations in ACD. Conclusions: This study was the first to combine dermoscopy and RCM to describe ACD. Two GPNMB gene mutations were reported in a Chinese ACD pedigree. The genotype-phenotype correlation was analyzed for the first time; however, there was no significant correlation.
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Affiliation(s)
- Hui Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Zhenyu Zhong
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Xiuli Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Liyun Zheng
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Yifan Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Shan Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Siqi Liu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Hui Li
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Ze Guo
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
| | - Min Gao
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui, China
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Zhong Z, Liao W, Dai L, Feng X, Su G, Gao Y, Wu Q, Yang P. Average corticosteroid dose and risk for HBV reactivation and hepatitis flare in patients with resolved hepatitis B infection. Ann Rheum Dis 2021; 81:584-591. [PMID: 34933869 DOI: 10.1136/annrheumdis-2021-221650] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 10/10/2021] [Accepted: 12/03/2021] [Indexed: 01/06/2023]
Abstract
OBJECTIVES Corticosteroids remain the mainstay of treatment for rheumatic diseases but can cause hepatitis B virus (HBV) reactivation in patients with resolved HBV infection. Risk assessment and stratification are needed to guide the management of these patients before corticosteroid therapy. METHODS We prospectively enrolled patients with negative hepatitis B surface antigen positive Anti-hepatitis B core status with or without corticosteroid use and determined corticosteroid exposure by calculating cumulative dose and time-weighted average daily dose of prednisone. The primary outcome was the time to a composite of HBV reactivation, hepatitis flare or severe hepatitis. RESULTS Among 1303 participants, the median of cumulative dose and time-weighted average dose of prednisone used in this cohort was 3000 mg (IQR: 300-6750 mg) and 15 mg/day (IQR: 10-20 mg/day), respectively. In multivariable analyses, cumulative dose showed inverted V-shaped relationship with primary events, which peaked at a cumulative dose of 1506 mg (HR: 3.72; 95% CI, 1.96 to 7.08). Quartiles of time-weighted average dose were independently associated with a monotonic increase in event risk (HR per quartile increase: 2.15; 95% CI, 1.56 to 2.98), reaching an HR of 49.48 (95% CI, 6.24 to 392.48) in the top quartile. The incidence of primary outcome was 16.67 per 100 person-years in the top quartile of time-weighted average dose (Q4>20 mg/day). Other quartiles all had an incidence of primary outcome less than 10 per 100 person-years. CONCLUSION Patients with time-weighted average prednisone dose greater than 20 mg/day would be classified as the high risk for HBV reactivation or hepatitis flare. Prophylactic Anti-HBV therapy may be needed for these high-risk patients. TRIAL REGISTRATION NUMBER ChiCTR1900023955.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Lingyu Dai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiaojie Feng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yu Gao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qiuying Wu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, and Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Zhong Z, Wu X, Wang Y, Li M, Li Y, Liu X, Zhang X, Lan Z, Wang J, Du Y, Zhang S. Zn/Sr dual ions-collagen co-assembly hydroxyapatite enhances bone regeneration through procedural osteo-immunomodulation and osteogenesis. Bioact Mater 2021; 10:195-206. [PMID: 34901539 PMCID: PMC8636740 DOI: 10.1016/j.bioactmat.2021.09.013] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/21/2021] [Accepted: 09/07/2021] [Indexed: 01/07/2023] Open
Abstract
The immune microenvironment induced by biomaterials played vital roles in bone regeneration. Hydroxyapatite (HA) and its ion-substituted derivates represent a large class of core inorganic materials for bone tissue engineering. Although ion substitution was proved to be a potent way to grant HA more biological functions, few studies focused on the immunomodulatory properties of ion-doped HA. Herein, to explore the potential osteoimmunomodulatory effects of ion-doped HA, zinc and strontium co-assembled into HA through a collagen template biomimetic way (ZnSr-Col-HA) was successfully achieved. It was found that ZnSr-Col-HA could induce a favorable osteo-immune microenvironment by stimulating macrophages. Furthermore, ZnSr-Col-HA demonstrated a procedural promoting effect on osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) in vitro. Specifically, the osteo-immune microenvironment acted as a dominant factor in promoting osteogenic gene expressions at the early stage through OSM signal pathway. Whereas the direct stimulating effects on BMSCs by Zn2+/Sr2+ were more effectively at the later stage with Nfatc1/Maf and Wnt signals activated. In vivo study confirmed strong promoting effects of ZnSr-Col-HA on critical-sized cranial defect repair. The current study indicated that such a combined biomaterial design philosophy of dual ion-doping and biomimetic molecular co-assembly to endow HA applicable osteoimmunomodulatory characteristics might bring up a new cutting-edge concept for bone regeneration study. Zn/Sr dual ions-collagen co-assembly hydroxyapatite (ZnSr-Col-HA) was achieved via a molecular template biomimetic way. A procedural promoting effect of ZnSr-Col-HA on osteogenic differentiation of BMSCs was firstly found. A novel material design philosophy was proposed for dual ions-doped biomimetic HA with osteoimmunomodulatory properties.
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Affiliation(s)
- Zhenyu Zhong
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xiaodan Wu
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yifan Wang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Mengdie Li
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yan Li
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - XuLong Liu
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xin Zhang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Ziyang Lan
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Jianglin Wang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.,Institute of Regulatory Science for Medical Devices, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yingying Du
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.,Institute of Regulatory Science for Medical Devices, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shengmin Zhang
- Advanced Biomaterials and Tissue Engineering Center, Huazhong University of Science and Technology, Wuhan, 430074, China.,Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.,Institute of Regulatory Science for Medical Devices, Huazhong University of Science and Technology, Wuhan, 430074, China
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Liao W, Zhong Z, Su G, Feng X, Du L, Li FZ, Dai L, Kijlstra A, Yang P. Surveillance of liver function in uveitis with or without chronic HBV infection. Ophthalmic Res 2021; 65:94-103. [PMID: 34781291 DOI: 10.1159/000520835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/09/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Immunosuppressive therapy for uveitis may cause liver damage. METHODS To investigate incidence of liver damage during uveitis treatment, we compared serological Hepatitis B core antibody (HBcAb) status with risk of liver dysfunction in all participants (n=992), in anterior uveitis (AU) (n=489) and combined of intermediate, posterior or panuveitis patients (IPPU) (n=503). The primary endpoint was incidence of elevated serum ALT level above two-fold upper limits of normal (ULN) within 6 months. RESULTS The incidence rate of primary endpoint for HBcAb negative and positive patients was 65 and 212 per 1,000 person years, respectively. The absolute rate difference was 147 (95% CI, 80-213) per 1,000 person years. HBcAb positivity was associated with a higher risk for primary endpoint in all participants (aHR, 3.53; 95% CI, 1.79-6.99; P value = 2.8×10-4) and in IPPU (aHR, 3.80; 95% CI, 1.61-9.01; P value = 0.002). No significant association with primary endpoint was observed for HBcAb positivity in AU (aHR, 3.21; 95% CI, 0.94-10.95; P value = 0.063). AU was mainly treated with topical eye drops (74.0%) whereas IPPU cases received systemic therapy including prednisone (94.0%), cyclosporine (80.9%) or other additionally combined immunomodulatory agents (14.9%). CONCLUSION Non-infectious uveitis cases with HBcAb positivity have an increased risk of liver damage. This association was predominantly driven by IPPU but was not significant in AU suggesting that the association is mediated by systemic therapy.
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Affiliation(s)
- Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiaojie Feng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Liping Du
- The First Affiliated Hospital of Zhengzhou University, Henan Province Eye Hospital, Zhengzhou, China
| | - Fu-Zhen Li
- The First Affiliated Hospital of Zhengzhou University, Henan Province Eye Hospital, Zhengzhou, China
| | - Lingyu Dai
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Aize Kijlstra
- University Eye Clinic Maastricht, Maastricht, The Netherlands
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Lab of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Cheng Z, Tian X, Zhong Z, Li P, Sun D, Bai J, Meng Y, Zhang S, Zhang Y, Wang L, Liu D. Reintroduction, distribution, population dynamics and conservation of a species formerly extinct in the wild: A review of thirty-five years of successful Milu (Elaphurus davidianus) reintroduction in China. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01860] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Zhong Z, Feng X, Su G, Du L, Liao W, Liu S, Li F, Zuo X, Yang P. HMG-Coenzyme A Reductase as a Drug Target for the Prevention of Ankylosing Spondylitis. Front Cell Dev Biol 2021; 9:731072. [PMID: 34692687 PMCID: PMC8526849 DOI: 10.3389/fcell.2021.731072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/16/2021] [Indexed: 11/14/2022] Open
Abstract
Statins are an inhibitor of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR). Growing evidence indicates that statins may have an anti-inflammatory effect. Whether genetically proxied HMGCR inhibition can reduce the risk of ankylosing spondylitis is unknown. We constructed an HMGCR genetic score comprising nearly randomly inherited variants significantly associated with LDL cholesterol levels within ± 100 kb from HMGCR to proxy for inhibition of HMGCR. We also constructed PCSK9 and NPC1L1 scores as well as the LDL polygenetic score to proxy for the inhibition of these drug targets as well as serum LDL cholesterol levels, respectively. We then compared the associations of these genetic scores with the risk of ankylosing spondylitis. Of 33,998 participants in the primary cohort, 12,596 individuals had been diagnosed with ankylosing spondylitis. Genetically proxied inhibition of HMGCR scaled to per mmol/L decrease in LDL cholesterol levels by the HMGCR score was associated with a lower risk of ankylosing spondylitis (OR, 0.57; 95% CI, 0.38–0.85; P value = 5.7 × 10–3). No significant association with ankylosing spondylitis was observed for the PCSK9 score (OR, 0.89; 95% CI, 0.68–1.16) and the NPC1L1 score (OR, 1.50; 95% CI, 0.39–5.77). For the LDL score, genetically determined per mmol/L decrease in LDL cholesterol levels led to a reduced risk of ankylosing spondylitis (OR, 0.64; 95% CI, 0.43–0.94), with significant heterogeneity and pleiotropy in the estimate. Exploratory analyses showed that genetically proxied inhibition of HMGCR appeared to have a similar effect to long-term statin therapy in modifying the risk of coronary artery disease and type 2 diabetes, suggesting that the HMGCR score might be a reliable model to assess the effect of statin. Genetically proxied inhibition of HMGCR was associated with a decreased risk of ankylosing spondylitis. This mechanism-based estimate was in line with existing observations suggesting the clinical benefits of statin therapy for ankylosing spondylitis.
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Affiliation(s)
- Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing, China
| | - Xiaojie Feng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing, China
| | - Liping Du
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing, China
| | - Shengyun Liu
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fuzhen Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xianbo Zuo
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing, China
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Su G, Zhong Z, Zhou Q, Du L, Ye Z, Li F, Zhuang W, Wang C, Liang L, Ji Y, Cao Q, Wang Q, Chang R, Tan H, Yi S, Li Y, Feng X, Liao W, Zhang W, Shu J, Tan S, Xu J, Pan S, Li H, Shi J, Chen Z, Zhu Y, Ye X, Tan X, Zhang J, Liu Z, Huang F, Yuan G, Pang T, Liu Y, Ding J, Gao Y, Zhang M, Chi W, Liu X, Wang Y, Chen L, Meguro A, Takeuchi M, Mizuki N, Ohno S, Zuo X, Kijlstra A, Yang P. A genome-wide association study in Chinese identifies novel risk loci for Behcet's uveitis. Arthritis Rheumatol 2021; 74:671-681. [PMID: 34652073 DOI: 10.1002/art.41998] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 09/06/2021] [Accepted: 10/05/2021] [Indexed: 11/07/2022]
Abstract
PURPOSE To explore susceptibility loci associated with uveitis in Behcet's disease (BD). METHODS We conducted a genome-wide association study (GWAS) primarily involving 978 BD uveitis cases and 4388 controls and a replication study of 953 BD uveitis cases and 2129 controls in the Chinese population. Luciferase reporter analysis and Chromatin immunoprecipitation (ChIP) assay were performed to explore the functional role of susceptibility genetic variants nearby ZMIZ1. RESULTS Three independent HLA alleles (HLA-B51, HLA-A26 and HLA-C0704) were identified in a genome-wide association with BD uveitis. In the non-HLA region, besides confirming 7 previously reported loci, we identified 22 novel susceptibility variants located in 16 loci. Meta-analysis of the Chinese cohort involving 1931 cases and 6517 controls and a published Japanese cohort of 611 cases and 737 controls showed genome-wide significant associations with ZMIZ1, RPS6KA4, IL10RA, SIPA1-FIBP-FOSL1 and VAMP1. Functional experiments demonstrated that genetic variants of ZMIZ1 were associated with an enhanced transcriptional activity and an increased expression of ZMIZ1. CONCLUSIONS This GWAS study identified a novel set of genetic variants that are associated with susceptibility to uveitis in BD. These findings enriched our understanding of the contribution of genetic factors to the disease.
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Affiliation(s)
- Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qingyun Zhou
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Liping Du
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zi Ye
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Fuzhen Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wenjuan Zhuang
- Department of Ophthalmology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Chaokui Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Liang Liang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yan Ji
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qingfeng Cao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qingfeng Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Rui Chang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Handan Tan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Shenglan Yi
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yujing Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiaojie Feng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Weiting Liao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Wanyun Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Jia Shu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Shiyao Tan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Jing Xu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Su Pan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Hongxi Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Jing Shi
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhijun Chen
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Ying Zhu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xingsheng Ye
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Xiao Tan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Jun Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhangluxi Liu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Fanfan Huang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Gangxiang Yuan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Tingting Pang
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yizong Liu
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiadong Ding
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yingnan Gao
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Meifen Zhang
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Wei Chi
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaoli Liu
- Ophthalmologic Center of the Second Hospital, Jilin University, Ziqiang Street 218, Changchun, China
| | - Yuqin Wang
- The Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ling Chen
- The Eye and ENT Hospital of Fudan University, Shanghai, China
| | - Akira Meguro
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Japan
| | - Masaki Takeuchi
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Japan
| | - Nobuhisa Mizuki
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Japan
| | - Shigeaki Ohno
- Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Xianbo Zuo
- Department of Pharmacy, Department of Dermatology, China-Japan Friendship Hospital, Beijing, 100029, China.,Institute of Dermatology & Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, Anhui, 230022, China
| | - Aize Kijlstra
- University Eye Clinic Maastricht, Maastricht, The Netherlands
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
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Wang J, Wang X, Zhong Z, Li X, Sun J, Li J, Huang J, Li Y, Ren G, Li H. Breast-Conserving Therapy Has Better Prognosis for Tumors in the Central and Nipple Portion of Breast Cancer Compared with Mastectomy: A SEER Data-Based Study. Front Oncol 2021; 11:642571. [PMID: 34458132 PMCID: PMC8397465 DOI: 10.3389/fonc.2021.642571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 07/22/2021] [Indexed: 12/15/2022] Open
Abstract
Background and Objectives Currently, the location of primary tumor was an independent prognostic factor of breast cancer. Tumors in the central and nipple portion (TCNP) had poor prognosis compared to other peripheral quadrants. The breast-conserving therapy (BCT) is becoming increasingly common worldwide in breast cancer operations. However, whether the availability of BCT was performed for TCNP remained a matter of debate. We sought to investigate whether BCT was suitable for TCNP with respect to survival outcomes, compared with mastectomy therapy. Methods Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, we obtained TCNP breast cancer patients diagnosed during the period of 2010–2015. One-to-one (1:1) propensity score matching (PSM) was applied to construct a matched sample consisting of pairs of BCT and mastectomy groups. Univariate and multivariate Cox proportional hazard models were applied to estimate the factors associated with breast cancer-specific survival (BCSS) and overall survival (OS). Survival analysis was performed with the Kaplan–Meier method. Results In the overall cohort, a total of 9,900 patients were enrolled. We found that patients with BCT showed significantly better BCSS (log-rank, p < 0.001) and OS (log-rank, p < 0.001) than the mastectomy group before PSM. The same finding was also shown in 5,820 patients after PSM. Additionally, none of the subgroups, including age, sex, race, histological grade, AJCC stage, and molecular subtype undergoing mastectomy therapy, had better BCSS than BCT. Conclusions Our study was the first research to show that BCT exhibited superior prognosis in the cohort of TCNP from SEER databases than mastectomy therapy. This finding could provide a cue for treatment strategies for suitable TCNP patients, especially those with a strong willingness to conserve their breasts.
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Affiliation(s)
- Jing Wang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoyu Wang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhenyu Zhong
- Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xue Li
- College of Foreign Languages, Chongqing Medical University, Chongqing, China
| | - Jiazheng Sun
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Li
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiefeng Huang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunhai Li
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guosheng Ren
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongzhong Li
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Shen L, Qian B, Xiao J, Zhu Y, Hussain S, Deng J, Peng G, Zuo Z, Zou L, Yu S, Ma X, Zhong Z, Ren Z, Wang Y, Liu H, Zhou Z, Cai D, Hu Y, Zong X, Cao S. Characterization of serum adiponectin and leptin in healthy perinatal dairy cows or cows with ketosis, and their effectson ketosis involved indices. Pol J Vet Sci 2021; 23:373-381. [PMID: 33006850 DOI: 10.24425/pjvs.2020.134681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
We investigated changes in concentrations of ADP (adiponectin), LEP (leptin), BHBA (beta-hydroxybutyric acid), NEFA (non-esterified fatty acid), Glucose (Glu) and INS (insulin) in serum of healthy perinatal dairy cows and cows with ketosis. Twenty-one healthy cows and seventeen cows with ketosis from a herd of a total 60 Holstein cows (near dry period i.e. 56 days antepartum) were selected. Blood was collected through the tail vein every 7 days, from 56 day antepartum to 56 day postpartum. Serum ADP, LEP, BHBA, NEFA, Glu, and INS concentrations were determined, and ketosis was diagnosed through serum BHBA (≥1.2 mmol/L). We showed the concentration of serum adipokines and energy balancing indices were stable during antepar- tum period. However, ADP concentration increased while LEP decreased, and there were a significant increase in cows with ketosis compared to that of in healthy cows. Serum BHBA and NEFA concentrations increased significantly at first, and then gradually decreased in both healthy cows and cows with ketosis. However, cows with ketosis showed higher concentrations of BHBA and NEFA which restored later. The serum concentration of Glu in both healthy dairy cows and cows with ketosis showed a decreasing trend. INS concentration in healthy cows was decreased while it was increased in cows with ketosis. The results reflect the extent of hypo- glycemia and lipid mobilization postpartum, suggest IR exists in cows with ketosis while serum ADP and LEP might play roles in the development of ketosis.
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Affiliation(s)
- L Shen
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - B Qian
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Xiao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Zhu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Hussain
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Deng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - G Peng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zuo
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - L Zou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Yu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Ma
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhong
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Ren
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Wang
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - H Liu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - D Cai
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Hu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Zong
- Sichuan Agricultural University - Chengdu Campus, Academic Affairs Office, Chengdu, Sichuan, 611130, China
| | - S Cao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
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Wang S, Zhang Q, Wu H, Yang Z, Guo X, Wang F, Yu Z, Zhong Z. Mutations of the c-Kit and PDGFRA gene in gastrointestinal stromal tumors among hakka population of Southern China. Niger J Clin Pract 2021; 24:814-820. [PMID: 34121727 DOI: 10.4103/njcp.njcp_582_19] [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] [Indexed: 11/04/2022]
Abstract
Aims The aim of the present study was to investigate mutation status of the cKit and PDGFRA genes in patients with a gastrointestinal stromal tumor (GIST). Methods In total, 96 patients with a GIST were included in the study, in which polymerase chain reaction amplification and gene sequencing were used to detect the sequences of exons 9, 11, 12, 13, 14, 17, and 18 in KIT and exons 12, 14, and 18 in PDGFRA. Results KIT mutations were detected in 65 cases (67.71%), of which 81.54% (53/65) were located on exon 11, 12.31% (8/65) were located on exon 9, 4.61% (3/65) were located on exon 17, which included a concomitant mutation of exon 9 and 11, and 4.08% (2/65) were located on exon 13, which included a concomitant mutation on exon 11. The most common mutation in exon 11 was deletion, which accounted for 77.36% (41/53) of the cases, followed by a point mutation observed in 22.64% (12/53) of the cases. Among the 31 GIST cases without a KIT mutation, a mutation in PDGFRA was detected in 5 cases (5.21%, 5/96; 16.13%, 5/31). With respect to gender, age, tumor max diameter, tumor position, and mitotic index, there were no significant differences between KIT/PDGFRA mutations and non-mutations. Conclusions GIST mainly occurs in the stomach, and the cytological morphology is mainly spindle cells, and the mutations mainly occur in KIT genes. We need a large sample size to analyze the regularity of GIST gene mutations in Hakka population and understand the independent prognostic correlation of all KIT/PDGFRA genotypes.
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Affiliation(s)
- S Wang
- Center for Digestive Diseases, Meizhou People's Hospital (Huangtang Hospital); Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - Q Zhang
- Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital; Guangdong Provincial Engineering and Technology Research Center for Clinical Molecular Diagnostics and Antibody Therapeutics, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - H Wu
- Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital; Guangdong Provincial Engineering and Technology Research Center for Clinical Molecular Diagnostics and Antibody Therapeutics, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - Z Yang
- Center for Digestive Diseases, Meizhou People's Hospital (Huangtang Hospital); Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - X Guo
- Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital; Guangdong Provincial Engineering and Technology Research Center for Clinical Molecular Diagnostics and Antibody Therapeutics, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - F Wang
- Center for Digestive Diseases, Meizhou People's Hospital (Huangtang Hospital); Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - Z Yu
- Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital; Guangdong Provincial Engineering and Technology Research Center for Clinical Molecular Diagnostics and Antibody Therapeutics, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
| | - Z Zhong
- Center for Precision Medicine; Guangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou People's Hospital; Guangdong Provincial Engineering and Technology Research Center for Clinical Molecular Diagnostics and Antibody Therapeutics, No. 63 Huangtang Road, Meijiang District, Meizhou, PR China
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Yang P, Zhang W, Chen Z, Zhang H, Su G, Cao Q, Zhu Y, Zhong Z, Zhou C, Wang Y, Kijlstra A. Development of revised diagnostic criteria for Fuchs' uveitis syndrome in a Chinese population. Br J Ophthalmol 2021; 106:1678-1683. [PMID: 34108225 DOI: 10.1136/bjophthalmol-2021-319343] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/23/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND/AIMS Fuchs' uveitis syndrome (FUS) is one of the frequently misdiagnosed uveitis entities, which is partly due to the absence of internationally recognised diagnostic criteria. This study was performed to develop and evaluate a set of revised diagnostic criteria for FUS. METHODS The clinical data of Chinese patients with FUS and patients with non-FUS were collected and analysed from a tertiary referral centre between April 2008 and December 2020. A total of 593 patients with FUS and 625 patients with non-FUS from northern China were enrolled for the development of diagnostic criteria for FUS. Three hundred and seventy-seven patients with FUS and 503 patients with non-FUS from southern China were used to validate the criteria. Clinical symptoms and ocular signs were collected from all patients with FUS and patients with non-FUS. Multivariate two-step cluster analysis, logistic regression and decision tree algorithms in combination with the clinical judgement of uveitis experts were used to revise diagnostic criteria for FUS. RESULTS Three essential findings including diffuse iris depigmentation, absence of posterior synechiae, mild inflammation in the anterior chamber at presentation and five associated findings including mostly unilateral involvement, cataract, vitreous opacities, absence of acute symptoms and characteristic iris nodules were used in the development of FUS diagnostic criteria. All essential findings were required for the diagnosis of FUS, and the diagnosis was further strengthened by the presence of associated findings. CONCLUSION Revised diagnostic criteria for FUS were developed and validated by analysing data from Chinese patients and showed a high sensitivity (96.55%) and specificity (97.42%).
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Affiliation(s)
- Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Wanyun Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhijun Chen
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Han Zhang
- Harbin Institute of Technology, Harbin, Heilongjiang, China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Qingfeng Cao
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Ying Zhu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Zhenyu Zhong
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Chunjiang Zhou
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Yao Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, China
| | - Aize Kijlstra
- University Eye Clinic Maastricht, Maastricht, The Netherlands
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Huang Q, Huang Y, Liu Y, Zhong Z, Deng W, LI TW. AB0791 THE DIAGNOSIS VALUE OF SYNOVIAL FLUID LYMPHOCYTE IN GOUT PATIENTS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Synovial fluid cell counts have long been recognised to have utility in the diagnosis and management of arthritis. Few studies have explained the diagnosis value of synovial fluid cell counts in gout patients.Objectives:The study aims to investigate the diagnosis value of synovial fluid cell counts in gout patients.Methods:A total of 185 gout, 64 rheumatoid arthritis(RA), 26 axial spondyloarthritis(axSpA) and 24 osteoarthritis(OA) patients were included into the study. According to serum uric acid(sUA) level on attack, gout patients were divided into normal sUA gout patients and high sUA gout patients. The laboratory data was recorded and ROC curve was performed.Results:The synovial fluid WBC, PBMC, monocyte, PMN and neutrophil in gout patients were higher than OA patients (P<0.05). The synovial fluid PBMC and lymphocyte in gout patients were lower than RA and axSpA patients (P<0.05). Compared with RA, axSpA and OA patients, ROC curve showed that the AUC value of lymphocyte and sUA for gout were 0.728 and 0.881, which were higher than other variables. The optimal cut off value of lymphocyte for gout was 1.362, with sensitivity of 83.3% and specificity of 60.6%. The AUC value of lymphocyte and sUA for normal sUA gout patients were 0.694 and 0.643, which were higher than other variables. The optimal cut off value of lymphocyte for normal sUA gout patients was 1.362, with sensitivity of 81.6% and specificity of 60.6%.Conclusion:Synovial fluid cell counts of gout patients were different from RA, axSpA, and OA patients. Synovial fluid lymphocyte had a higher diagnosis value for gout.References:[1]Scanu A, Oliviero F, Ramonda R, et al. Cytokine levels in human synovial fluid during the different stages of acute gout: role of transforming growth factor β1 in the resolution phase. Ann Rheum Dis. 2012, 71(4): 621-4.Table 1.Basic characteristics of the participantsGout(n=185)RA(n=64)axSpA (n=26)OA(n=24)P valueAge (years)48.58±15.5856.19±12.39*32.96±15.19*#69.63±12.43*#&<0.001Gender (male/female)176/911/5321/58/16<0.001WBC(×109/L)18.58±22.9422.24±20.8715.52±15.033.03±5.59*#&0.002PBMC(×109/L)1.85±1.993.68±2.43*3.85±3.34*0.74±1.01*#&<0.001Monocyte(×109/L)1.02±1.591.24±1.111.34±1.520.29±0.37*#&0.030PMN(×109/L)16.77±21.5118.57±19.3215.75±24.172.30±5.00*#&0.008Lymphocyte (×109/L)0.80±0.832.43±1.76*2.50±2.04*0.45±0.80#&<0.001Eosinophil (×109/L)1.32±3.750.56±0.930.11±0.170.49±1.850.098Neutrophil (×109/L)16.42±21.1618.82±20.8911.13±14.232.23±4.87*#0.003UA(μM)497.92±132.24299.31±97.91*351.81±118.93*333.38±75.19*<0.001ESR(mm/h)61.02±37.6882.42±32.87*68.12±36.2542.34±35.91*#&<0.001CRP(mg/L)56.52±45.6444.01±35.27*65.49±39.85#22.11±40.65*#&<0.001*P<0.05 vs gout group, #P<0.05 vs RA group, &P<0.05 vs axSpA groupDisclosure of Interests:None declared
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