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Schneider KL, Hao X, Keuenhof KS, Berglund LL, Fischbach A, Ahmadpour D, Chawla S, Gómez P, Höög JL, Widlund PO, Nyström T. Elimination of virus-like particles reduces protein aggregation and extends replicative lifespan in Saccharomyces cerevisiae. Proc Natl Acad Sci U S A 2024; 121:e2313538121. [PMID: 38527193 PMCID: PMC10998562 DOI: 10.1073/pnas.2313538121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 02/04/2024] [Indexed: 03/27/2024] Open
Abstract
A major consequence of aging and stress, in yeast to humans, is an increased accumulation of protein aggregates at distinct sites within the cells. Using genetic screens, immunoelectron microscopy, and three-dimensional modeling in our efforts to elucidate the importance of aggregate annexation, we found that most aggregates in yeast accumulate near the surface of mitochondria. Further, we show that virus-like particles (VLPs), which are part of the retrotransposition cycle of Ty elements, are markedly enriched in these sites of protein aggregation. RNA interference-mediated silencing of Ty expression perturbed aggregate sequestration to mitochondria, reduced overall protein aggregation, mitigated toxicity of a Huntington's disease model, and expanded the replicative lifespan of yeast in a partially Hsp104-dependent manner. The results are in line with recent data demonstrating that VLPs might act as aging factors in mammals, including humans, and extend these findings by linking VLPs to a toxic accumulation of protein aggregates and raising the possibility that they might negatively influence neurological disease progression.
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Affiliation(s)
- K. L. Schneider
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - X. Hao
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - K. S. Keuenhof
- Department for Chemistry and Molecular Biology, University of Gothenburg, Gothenburg41390, Sweden
| | - L. L. Berglund
- Department for Chemistry and Molecular Biology, University of Gothenburg, Gothenburg41390, Sweden
| | - A. Fischbach
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - D. Ahmadpour
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - S. Chawla
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - P. Gómez
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - J. L. Höög
- Department for Chemistry and Molecular Biology, University of Gothenburg, Gothenburg41390, Sweden
| | - P. O. Widlund
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
| | - T. Nyström
- Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health—AgeCap, University of Gothenburg, Gothenburg40530, Sweden
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Tian Y, Wang D, He S, Cao Z, Li W, Jiang F, Shi Y, Hao Y, Wei X, Wang Q, Qie S, Wang J, Li T, Hao X, Zhu J, Wu J, Shang S, Zhai X. Immune cell early activation, apoptotic kinetic, and T-cell functional impairment in domestic pigs after ASFV CADC_HN09 strain infection. Front Microbiol 2024; 15:1328177. [PMID: 38419627 PMCID: PMC10899498 DOI: 10.3389/fmicb.2024.1328177] [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: 10/26/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
African swine fever (ASF) caused by the African swine fever virus (ASFV) is a fatal and highly contagious disease of domestic pigs characterized by rapid disease progression and death within 2 weeks. How the immune cells respond to acute ASFV infection and contribute to the immunopathogenesis of ASFV has not been completely understood. In this study, we examined the activation, apoptosis, and functional changes of distinct immune cells in domestic pigs following acute infection with the ASFV CADC_HN09 strain using multicolor flow cytometry. We found that ASFV infection induced broad apoptosis of DCs, monocytes, neutrophils, and lymphocytes in the peripheral blood of pigs over time. The expression of MHC class II molecule (SLA-DR/DQ) on monocytes and conventional DCs as well as CD21 expression on B cells were downregulated after ASFV infection, implying a potential impairment of antigen presentation and humoral response. Further examination of CD69 and ex vivo expression of IFN-γ on immune cells showed that T cells were transiently activated and expressed IFN-γ as early as 5 days post-infection. However, the capability of T cells to produce cytokines was significantly impaired in the infected pigs when stimulated with mitogen. These results suggest that the adaptive cellular immunity to ASFV might be initiated but later overridden by ASFV-induced immunosuppression. Our study clarified the cell types that were affected by ASFV infection and contributed to lymphopenia, improving our understanding of the immunopathogenesis of ASFV.
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Affiliation(s)
- Yunfei Tian
- College of Veterinary Medicine, Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Dongyue Wang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Shicheng He
- Animal Disease Control Center of Hunan Province, Changsha, China
| | - Zhen Cao
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Wencai Li
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Fei Jiang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Yifan Shi
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Yuxin Hao
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Xinhao Wei
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Qingqing Wang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Shuai Qie
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Jiangtao Wang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Ting Li
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Xiaoli Hao
- College of Veterinary Medicine, Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Jianzhong Zhu
- College of Veterinary Medicine, Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Jiajun Wu
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
| | - Shaobin Shang
- College of Veterinary Medicine, Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Xinyan Zhai
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing, China
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Wang S, Hao X. YOLO-SK: A lightweight multiscale object detection algorithm. Heliyon 2024; 10:e24143. [PMID: 38293400 PMCID: PMC10826665 DOI: 10.1016/j.heliyon.2024.e24143] [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: 06/08/2023] [Revised: 12/07/2023] [Accepted: 01/04/2024] [Indexed: 02/01/2024] Open
Abstract
YOLOv5 is an excellent object-detection model. However, it fails to fully use multiscale information when detecting objects with significant scale variations. It might use irrelevant contextual information, leading to incorrect predictions, particularly for low-performance devices. In this study, we selected lightweight YOLOv5s as the baseline model and proposed an improved model called YOLO-SK to overcome this limitation. YOLO-SK introduced several key improvements, the most important being the collaborative work of the weighted dense feature fusion network and SK attention prediction head. The proposed weighted dense feature fusion network could dynamically fuse features at different scales using autonomous learning parameters and cross-layer fusion capabilities. This enabled a balanced feature fusion ability in the output feature maps of different scales, thereby enhancing the richness of the effective information in the fused feature maps. The prediction head equipped with the SK attention mechanism broadened the scope of the model's receptive field and sharpened the focus on the target characteristics. This made it possible to glean more information about the target from the feature map output by employing a weighted dense feature fusion network. In addition, in order to improve the model's performance in terms of both accuracy and volume, we implemented the SIoU loss function and the Ghost Conv. The use of the model allowed for a more precise and in-depth comprehension of the event, which was made possible by all of these various methods of improvement. Extensive testing done on the PASCAL VOC 2007 and 2012 datasets showed that YOLO-SK was able to achieve considerable gains in prediction accuracy when compared with the baseline model (YOLOv5s), all while keeping the same level of model complexity. To be more specific, mAP@.5 increased by 2.6 %, and mAP@.5:.95 increased by 4.8 %. The advancements that were made and detailed in this paper could serve as a springboard for additional research that aims to improve the precision of multiscale object identification models for low-performance devices.
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Affiliation(s)
- Shihang Wang
- College of Computer Science and Technology (College of Big Data), Taiyuan University of Technology, Jinzhong 030600, China
| | - Xiaoli Hao
- College of Computer Science and Technology (College of Big Data), Taiyuan University of Technology, Jinzhong 030600, China
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Hao X, Li J, Wang J, Zhou Z, Yuan X, Pan S, Zhu J, Zhang F, Yin S, Yang Y, Hu S, Shang S. Co-administration of chicken IL-2 alleviates clinical signs and replication of the ILTV chicken embryo origin vaccine by pre-activating natural killer cells and cytotoxic T lymphocytes. J Virol 2023; 97:e0132223. [PMID: 37882519 PMCID: PMC10688355 DOI: 10.1128/jvi.01322-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023] Open
Abstract
IMPORTANCE Chickens immunized with the infectious laryngotracheitis chicken embryo origin (CEO) vaccine (Medivac, PT Medion Farma Jaya) experience adverse reactions, hindering its safety and effective use in poultry flocks. To improve the effect of the vaccine, we sought to find a strategy to alleviate the respiratory reactions associated with the vaccine. Here, we confirmed that co-administering the CEO vaccine with chIL-2 by oral delivery led to significant alleviation of the vaccine reactions in chickens after immunization. Furthermore, we found that the co-administration of chIL-2 with the CEO vaccine reduced the clinical signs of the CEO vaccine while enhancing natural killer cells and cytotoxic T lymphocyte response to decrease viral loads in their tissues, particularly in the trachea and conjunctiva. Importantly, we demonstrated that the chIL-2 treatment can ameliorate the replication of the CEO vaccine without compromising its effectiveness. This study provides new insights into further applications of chIL-2 and a promising strategy for alleviating the adverse reaction of vaccines.
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Affiliation(s)
- Xiaoli Hao
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Jiaqi Li
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Jiongjiong Wang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Zhou Zhou
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Xinjie Yuan
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Shan Pan
- Dalian Sanyi Animal Medicine Co., Ltd, Dalian, China
| | - Jie Zhu
- Shandong Binzhou Wohua Biotech Co., Ltd, Binzhou, China
| | - Fan Zhang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Shi Yin
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Yi Yang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Shunlin Hu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, Jiangsu, China
| | - Shaobin Shang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, Jiangsu, China
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Dong SY, Deng SY, Fan R, Chen JZ, Cheng X, Hao X, Dai WC. [Predictive value of aMAP risk score for early recurrence of small hepatocellular carcinoma after microwave ablation]. Zhonghua Nei Ke Za Zhi 2023; 62:1329-1334. [PMID: 37935500 DOI: 10.3760/cma.j.cn112138-20221108-00835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Objective: To explore the value of the aMAP risk score (age, male, albumin-bilirubin, and platelets) to predict early recurrence within one year after microwave ablation in patients with small hepatocellular carcinoma. Methods: This was a retrospective study that enrolled 142 patients diagnosed with hepatocellular carcinoma who were treated with microwave ablation in the Department of Hepatology Unit of Nanfang Hospital, Southern Medical University from July 2016 to July 2021. The cohort enrolled 121 male and 21 female patients, including 110 patients that were <60 years old. All the patients were followed-up after microwave ablation to evaluate residual tumor and recurrence of tumor by computed tomography or magnetic resonance imaging. The observation indices mainly included general data and imaging data of patients. Using the X-tile tools, patients were divided into two groups: a high aMAP score group and a low aMAP score group. Multivariate Cox regression analysis was conducted for comparison of independent risk factors. Results: Multivariate Cox regression showed that high aMAP score, maximum tumor diameter >20 mm, and high AFP were the independent risk factors of early recurrence (all P<0.05). Kaplan-Meier survival curves showed that the median recurrence-free survival was 25.5 months in the low aMAP score group and 6.1 months in the high aMAP score group (P=0.001). Conclusions: The aMAP score could predict the early recurrence within 1 year of small hepatocellular carcinoma after microwave ablation. Patients with high aMAP score should undergo rigorous postoperative follow-up evaluations..
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Affiliation(s)
- S Y Dong
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China First Clinical Medical College, Southern Medical University, Guangzhou, Guangzhou, 510515, China
| | - S Y Deng
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - R Fan
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - J Z Chen
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - X Cheng
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - X Hao
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - W C Dai
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
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Hao X, Wen S, Sun Q, Irfan M, Wu H, Hao Y. How does the target of green innovation for cleaner production change in management process? Quality targeting and link targeting. J Environ Manage 2023; 345:118832. [PMID: 37619382 DOI: 10.1016/j.jenvman.2023.118832] [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: 06/01/2023] [Revised: 08/03/2023] [Accepted: 08/13/2023] [Indexed: 08/26/2023]
Abstract
The global economy has accelerated the transition to a green, low-carbon economy. An enterprise's green innovation (GI) is directly related to its capacity for sustainable production as a micro-subject of economic development. This study examined the impact of managerial capacity on enterprise green innovation and changes of green innovation targeting. We used data collected manually from 423 Chinese A-share companies from 2010 to 2017. The effect of various external impact signals was then investigated. This study's findings are as follows: (1) Managerial ability stimulated green enterprise innovation. The marginal effect was 0.0696. While quality targeting has focused more on green invention innovation, managerial capacity significantly improved the marginal impact of green substantial innovation by 0.0375; (2) The clean production link targeting analysis confirmed that enterprises focused on end-of-pipe governance innovation (0.0466), along with new energy innovation (0.0495) rather than energy-saving innovation (-0.0227); (3) The multi-period DDD (Difference in Difference in Difference) model revealed that low-carbon city policy promoted green innovation with a diminishing trend; (4) The voluntary environmental regulation signals, ISO14001 certification, displayed a substitute effect for managerial capacity on enterprise green innovation. This paper provides recommendations, including that enterprises should improve the utilization of new and renewable energy while improving and optimizing production processes. The government should also improve innovation incentive policies and strengthen environmental information disclosure.
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Affiliation(s)
- Xiaoli Hao
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China; Engineering Research Center of Northwest Energy Carbon Neutrality, Ministry of Education, China; Center for Innovation Management Research, Xinjiang University, Urumqi, 830047, China.
| | - Shufang Wen
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China.
| | - Qingyu Sun
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China.
| | - Muhammad Irfan
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon; Department of Business Administration, Ilma University, Karachi 75190, Pakistan
| | - Haitao Wu
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
| | - Yu Hao
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, 100081, China; Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, 100081, China; Beijing Key Lab of Energy Economics and Environmental Management, Beijing, 100081, China.
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He S, Zhang H, Yin S, Hao X, Yang Y, Shang S. Characterization of chicken interleukin-9 receptor alpha chain. Poult Sci 2023; 102:102965. [PMID: 37562135 PMCID: PMC10432844 DOI: 10.1016/j.psj.2023.102965] [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: 05/14/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 08/12/2023] Open
Abstract
Interleukin-9 receptor alpha chain (IL-9Rα) is the ligand-binding subunit of IL-9R that plays roles in IL-9-mediated allergy, inflammation, infection, and tumor immunity. While mammalian IL-9Rαs have been extensively investigated, avian IL-9Rα has not yet been identified and characterized. In this study, we cloned chicken IL-9Rα (chIL-9Rα) and performed a phylogenetic analysis, analyzed its tissue distribution, characterized the expression form of natural chIL-9Rα. Phylogenetic analysis showed that chIL-9Rα has less than 25% amino acid homology with mammalian IL-9Rαs. The chIL-9Rα mRNA was abundantly detected only in heart and mitogen-activated peripheral blood mononuclear cells. Furthermore, 4 monoclonal antibodies (mAbs) against chIL-9Rα were generated using prokaryotic recombinant chIL-9Rα (rchIL-9Rα). Using anti-chIL-9Rα mAbs, natural chIL-9Rα expressed on the splenocytes of chickens was observed by indirect immunofluorescence assay (IFA), and its molecular weight of 51 kDa was identified by Western blotting. Overall, our study reveals for the first time the presence of IL-9Rα in birds, and provides immunological tools for further investigating the roles of chIL-9 in diseases and immunity.
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Affiliation(s)
- Shuangjiang He
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; Institute of Comparative Medicine, Yangzhou University, Yangzhou 225009, China
| | - Huining Zhang
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; Institute of Comparative Medicine, Yangzhou University, Yangzhou 225009, China
| | - Shi Yin
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; Institute of Comparative Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xiaoli Hao
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; Institute of Comparative Medicine, Yangzhou University, Yangzhou 225009, China
| | - Yi Yang
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; Institute of Comparative Medicine, Yangzhou University, Yangzhou 225009, China
| | - Shaobin Shang
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; Institute of Comparative Medicine, Yangzhou University, Yangzhou 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China; International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou 225009, Jiangsu, China.
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Zhang X, Wu P, Hao X, Liu J, Huang Z, Weng S, Chen W, Huang L, Huang J. Quaternized carbon dots with enhanced antimicrobial ability towards Gram-negative bacteria for the treatment of acute peritonitis caused by E. coli. J Mater Chem B 2023; 11:7696-7706. [PMID: 37458409 DOI: 10.1039/d3tb00889d] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Infections caused by Gram-negative bacteria still pose a clinical challenge. Although nanomaterials have been developed for antibacterial treatments, a systematic evaluation of the mechanisms and intervention models of antibacterial materials toward Gram-negative bacteria is still lacking. Herein, antibacterial quaternized carbon dots (QCDs) were synthesized via a one-step melting method using anhydrous citric acid and diallyl dimethyl ammonium chloride (DDA). The QCDs exhibited effective broad-spectrum antibacterial activity and enhanced inhibitory ability towards Gram-negative bacteria. The antibacterial mechanism of the QCDs with respect to Gram-negative bacteria was investigated through the characterization of bacterial morphology changes, the absorption modes of the QCDs on bacteria, and the potential generation of reactive oxygen species by the QCDs. The QCDs showed low toxicity in different cells, and did not cause hemolysis. The QCDs were administered via intraperitoneal injection to treat acute peritonitis in mice infected with E. coli. Routine blood examination, magnetic resonance imaging, and pathological analysis were undertaken and it was found that, similar to the positive control group treated with gentamicin sulfate, the QCDs exhibited a therapeutic effect that eliminated infection and inflammation. This study explores a controllable synthetic strategy for the synthesis of active carbon dots with antibacterial activity, a material that is a promising candidate for new treatments of Gram-negative bacterial infections.
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Affiliation(s)
- Xintian Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
| | - Pingping Wu
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
| | - Xiaoli Hao
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
| | - Jiamiao Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
| | - Zhengjun Huang
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
| | - Shaohuang Weng
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
| | - Weifeng Chen
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
| | - Lingling Huang
- Department of Stomatology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
| | - Jianyong Huang
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
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Hao X, Li CL, Xie HX, Yang F, Jiang CJ, Du ZT, Wang XM, Wang H, Hei FL, Hou XT. [Risk factors associated with in-hospital mortality in patients requiring extracorporeal membrane oxygenation in the perioperative period of heart transplantation]. Zhonghua Yi Xue Za Zhi 2023; 103:1986-1992. [PMID: 37438080 DOI: 10.3760/cma.j.cn112137-20230330-00516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
Objective: To explore risk factors associated with in-hospital mortality in patients requiring extracorporeal membrane oxygenation (ECMO) in the perioperative period of heart transplantation. Methods: The data of ECMO cases in the perioperative period of heart transplantation from the Chinese Society of Extracorporeal Life Support (CSECLS) between January 2017 and December 2021 were retrospectively analyzed. These patients were divided into the survival group and non-survival group according to their outcomes at discharge. The demographics, indications and complications of ECMO between the two groups were compared, and the related risk factors of poor prognosis were analyzed. Results: A total of 77 patients were included in the study, including 67 males and 10 females, with a median age [M(Q1, Q3)] of 48 (36, 59) years. Sixty-three patients (81.8%) were successfully withdrawn from the ECMO and 46 patients (59.7%) survived to discharge. The median ECMO time was 139 (92, 253) hours. Compared with the survival group, the non-survival group (n=31) had more patients with chronic kidney disease before surgery [22.6% (7/31) vs 4.3% (2/46), P=0.034], and a higher proportion of continuous renal replacement therapy (CRRT) during ECMO [74.2% (23/31) vs 50.0% (23/46), P=0.034]. Moreover, the non-survival group had longer duration of extracorporeal circulation [262 (195, 312) vs 201 (155, 261) min, P=0.056] and higher lactate value in the first 24 hours of ECMO support [2.7 (2.1, 4.7) vs 2.3 (1.4, 3.8) mmol/L, P=0.060], but the differences were not statistically significant. Multivariate logistic regression analysis showed that perioperative application of CRRT was an independent risk factor for poor prognosis in ECMO patients during heart transplantation (OR=19.345, 95%CI: 1.209-309.440, P=0.036). Conclusion: CRRT treatment during ECMO is a risk factor for in-hospital mortality in patients undergoing heart transplantation.
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Affiliation(s)
- X Hao
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - C L Li
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - H X Xie
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - F Yang
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - C J Jiang
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Z T Du
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - X M Wang
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - H Wang
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - F L Hei
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - X T Hou
- Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
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10
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Liu ZH, Hao X, Hou JL. [Treat-all: challenges of partial response and low-level viremia]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:242-246. [PMID: 37137848 DOI: 10.3760/cma.j.cn501113-20230316-00117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The recently updated "Guidelines for the Prevention and Treatment of Chronic Hepatitis B" in China have brought about significant changes. The new treatment indications almost mandate the implementation of a Treat-all strategy for the chronically HBV-infected population in China. While simultaneous negativity for hepatitis B surface antigen (HBsAg) and hepatitis B virus (HBV) DNA has long been an accepted criterion for treatment discontinuation, there has been controversies over the initiation of treatment criteria starting with HBsAg and HBV DNA positivity. Despite the inconsistent treatment criteria, the academic community has started supporting treat-all strategies in recent years due to the decreasing cost of treatment, prolonged management duration, and growing evidence of poor outcomes in untreated populations. Therefore, this update to the Chinese HBV guidelines represents a new direction that suggests "The greatest truths are the simplest." However, in the process of rolling out the Treat-all strategy, we must remain cautious of possible issues arising from the new strategy. Among them, the problem of partial response or low-level viremia following treatment may become more prominent due to the inclusion of a significant number of patients with normal or low levels of alanine transaminase. As existing evidence suggests that low-level viremia increases the risk of HCC in patients, it is essential to monitor and explore optimal therapeutic options for these patients.
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Affiliation(s)
- Z H Liu
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Institutes of Liver Diseases Research of Guangdong Province, Guangzhou 510515, China
| | - X Hao
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Institutes of Liver Diseases Research of Guangdong Province, Guangzhou 510515, China
| | - J L Hou
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Institutes of Liver Diseases Research of Guangdong Province, Guangzhou 510515, China
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11
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Wu Y, Lv K, Zheng B, Hao X, Lai W, Xia X, Yang G, Huang S, Luo Z, Yang G, Lv C, An Z, Peng W, Song T, Yuan Q. Development and validation of a clinical nomogram predicting detrusor underactivity via symptoms and noninvasive test parameters in men with benign prostatic hyperplasia. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00080-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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12
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Hao X, Li Y, Ren S, Wu H, Hao Y. The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter? J Environ Manage 2023; 325:116504. [PMID: 36272290 DOI: 10.1016/j.jenvman.2022.116504] [Citation(s) in RCA: 49] [Impact Index Per Article: 49.0] [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: 06/28/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 05/27/2023]
Abstract
The digital economy has demonstrated strong resilience and great potential, under the interwoven influence of the global pandemic and severe environmental concerns across the world. Therefore, there is a need to focus on the value of green economic growth in the digital economy. This paper constructs an evaluation index system and adopts the SEEA (System of Environmental and Economic Accounting) method to measure the digitalization level (Digi) and green economy growth level (GEG) of China. The internal mechanism and linear relationship between digitalization and green economy growth are examined based on the panel data from 2013 to 2019. Moreover, this study explores the spatial spillover effect. The major study findings are as follows: (1) Digitalization and green economy growth represent a steady growth trend, and the former as a whole significantly promotes the latter, with a marginal effect of 1.648. (2) The mechanism analysis indicates the intermediary effects' size of three crucial intermediaries: green technology innovation > advanced industrial structure > the rationalization of industrial structure. (3) Both the "local effect" (0.556; 0.574) and "neighboring effect" (1.382; 1.415) of digitalization on green economy growth are positive under the two weight matrices and display "simultaneous resonance" characteristics based on the spatial perspective. (4) There exists obvious regional spatial heterogeneity and resource endowment heterogeneity. Finally, this study put forward corresponding policy implications, such as construction of new digital infrastructures and guiding green-energy consumption.
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Affiliation(s)
- Xiaoli Hao
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China; Center for Innovation Management Research, Xinjiang University, Urumqi, 830046, China.
| | - Yuhong Li
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China; School of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Siyu Ren
- School of Economics, Nankai University, Tianjin, 300000, China
| | - Haitao Wu
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
| | - Yu Hao
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, 100081, China; Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, 100081, China; Beijing Key Lab of Energy Economics and Environmental Management, Beijing, 100081, China.
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13
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Hao X, Zhang W, Jiao B, Yang Q, Zhang X, Chen R, Wang X, Xiao X, Zhu Y, Liao W, Wang D, Shen L. Correlation between retinal structure and brain multimodal magnetic resonance imaging in patients with Alzheimer's disease. Front Aging Neurosci 2023; 15:1088829. [PMID: 36909943 PMCID: PMC9992546 DOI: 10.3389/fnagi.2023.1088829] [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: 11/03/2022] [Accepted: 02/06/2023] [Indexed: 02/24/2023] Open
Abstract
Background The retina imaging and brain magnetic resonance imaging (MRI) can both reflect early changes in Alzheimer's disease (AD) and may serve as potential biomarker for early diagnosis, but their correlation and the internal mechanism of retinal structural changes remain unclear. This study aimed to explore the possible correlation between retinal structure and visual pathway, brain structure, intrinsic activity changes in AD patients, as well as to build a classification model to identify AD patients. Methods In the study, 49 AD patients and 48 healthy controls (HCs) were enrolled. Retinal images were obtained by optical coherence tomography (OCT). Multimodal MRI sequences of all subjects were collected. Spearman correlation analysis and multiple linear regression models were used to assess the correlation between OCT parameters and multimodal MRI findings. The diagnostic value of combination of retinal imaging and brain multimodal MRI was assessed by performing a receiver operating characteristic (ROC) curve. Results Compared with HCs, retinal thickness and multimodal MRI findings of AD patients were significantly altered (p < 0.05). Significant correlations were presented between the fractional anisotropy (FA) value of optic tract and mean retinal thickness, macular volume, macular ganglion cell layer (GCL) thickness, inner plexiform layer (IPL) thickness in AD patients (p < 0.01). The fractional amplitude of low frequency fluctuations (fALFF) value of primary visual cortex (V1) was correlated with temporal quadrant peripapillary retinal nerve fiber layer (pRNFL) thickness (p < 0.05). The model combining thickness of GCL and temporal quadrant pRNFL, volume of hippocampus and lateral geniculate nucleus, and age showed the best performance to identify AD patients [area under the curve (AUC) = 0.936, sensitivity = 89.1%, specificity = 87.0%]. Conclusion Our study demonstrated that retinal structure change was related to the loss of integrity of white matter fiber tracts in the visual pathway and the decreased LGN volume and functional metabolism of V1 in AD patients. Trans-synaptic axonal retrograde lesions may be the underlying mechanism. Combining retinal imaging and multimodal MRI may provide new insight into the mechanism of retinal structural changes in AD and may serve as new target for early auxiliary diagnosis of AD.
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Affiliation(s)
- Xiaoli Hao
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China
| | - Weiwei Zhang
- Department of Radiology, Xiangya Hospital of Central South University, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Qijie Yang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China
| | - Xinyue Zhang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China
| | - Ruiting Chen
- Department of Radiology, Xiangya Hospital of Central South University, Changsha, China
| | - Xin Wang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China
| | - Xuewen Xiao
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China
| | - Weihua Liao
- Department of Radiology, Xiangya Hospital of Central South University, Changsha, China
| | - Dongcui Wang
- Department of Radiology, Xiangya Hospital of Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China
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14
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Yang Y, Meng Y, Chen L, Dong M, Zhang H, Wu J, Hao X, He S, Tian Y, Gong Z, Shang S. Development of specific monoclonal antibodies for the detection of natural chicken tumor necrosis factor-alpha. Heliyon 2022; 8:e12446. [PMID: 36593850 PMCID: PMC9803707 DOI: 10.1016/j.heliyon.2022.e12446] [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: 10/13/2022] [Revised: 11/26/2022] [Accepted: 12/12/2022] [Indexed: 12/27/2022] Open
Abstract
Tumor necrosis factor alpha (TNF-α) is an important proinflammatory cytokine and the only known cytokine that can directly kill tumor cells. Unlike mammalian counterparts, chicken TNF-α (chTNF-α) gene has not been identified until very recently due to its high GC content (∼70%) and long GC fragments. The biological functions of this newly-identified cytokine and its detection methods remain to be further investigated. In this study, the extracellular domain of chTNF-α was cloned into prokaryotic vector after codon optimization and recombinant chTNF-α protein was expressed. Subsequently, using recombinant chTNF-ɑ as immunogen, rabbit polyclonal antibody (pAb) and eight clones of mouse anti-chTNF-ɑ monoclonal antibodies (mAbs) were produced, respectively. Both the pAb and mAbs specifically recognized recombinant chTNF-ɑ expressed in E.coli and transfected COS-7 cells. Further mapping the antigenic region showed that all the mAbs recognized a region of amino acid residues 195-285 of chTNF-ɑ. Furthermore, an antigen-capture enzyme-linked immunosorbent assay for the detection of chTNF-ɑ was established using one mAb and the pAb. This assay showed no cross-reactivity with irrelevant Trx-fused antigens and could detect natural chTNF-ɑ expressed by mitogen-activated chicken splenocytes in a dose-dependent manner, with a detection limit of 1 ng/mL. Collectively, our results indicated that the mAbs and pAb against chTNF-α are specific and could be used for the study of the biological functions of chTNF-ɑ and the detection of chTNF-ɑ.
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Affiliation(s)
- Yi Yang
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Yining Meng
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Lina Chen
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Maoli Dong
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Huining Zhang
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Ji Wu
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xiaoli Hao
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Shuangjiang He
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Yunfei Tian
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Zaicheng Gong
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Shaobin Shang
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China,International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou 225009, China,Corresponding author.
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15
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Liu Y, Xiao X, Liu H, Liao X, Zhou Y, Weng L, Zhou L, Liu X, Bi XY, Xu T, Zhu Y, Yang Q, Zhang S, Hao X, Zhang W, Wang J, Jiao B, Shen L. Clinical characteristics and genotype-phenotype correlation analysis of familial Alzheimer’s disease patients with pathogenic/likely pathogenic amyloid protein precursor mutations. Front Aging Neurosci 2022; 14:1013295. [PMID: 36313020 PMCID: PMC9616047 DOI: 10.3389/fnagi.2022.1013295] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disease associated with aging, environmental, and genetic factors. Amyloid protein precursor (APP) is a known pathogenic gene for familial Alzheimer’s disease (FAD), and now more than 70 APP mutations have been reported, but the genotype-phenotype correlation remains unclear. In this study, we collected clinical data from patients carrying APP mutations defined as pathogenic/likely pathogenic according to the American college of medical genetics and genomics (ACMG) guidelines. Then, we reanalyzed the clinical characteristics and identified genotype-phenotype correlations in APP mutations. Our results indicated that the clinical phenotypes of APP mutations are generally consistent with typical AD despite the fact that they show more non-demented symptoms and neurological symptoms. We also performed genotype-phenotype analysis according to the difference in APP processing caused by the mutations, and we found that there were indeed differences in onset age, behavioral and psychological disorders of dementia (BPSD) and myoclonus.
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Affiliation(s)
- Yingzi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xuewen Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xinxin Liao
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Yafang Zhou
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Ling Weng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xixi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiang-yun Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Tianyan Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qijie Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Sizhe Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoli Hao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Weiwei Zhang
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- *Correspondence: Bin Jiao,
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China
- Lu Shen,
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16
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Xiao X, Liu H, Zhou L, Liu X, Xu T, Zhu Y, Yang Q, Hao X, Liu Y, Zhang W, Zhou Y, Wang J, Li J, Jiao B, Shen L, Liao X. The associations of APP, PSEN1, and PSEN2 genes with Alzheimer's disease: A large case-control study in Chinese population. CNS Neurosci Ther 2022; 29:122-128. [PMID: 36217304 PMCID: PMC9804049 DOI: 10.1111/cns.13987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/22/2022] [Accepted: 08/28/2022] [Indexed: 02/06/2023] Open
Abstract
AIM The associations of non-pathogenic variants of APP, PSEN1, and PSEN2 with Alzheimer's disease (AD) remain unclear. This study is aimed at determining the role of these variants in AD. METHODS Our study recruited 1154 AD patients and 2403 controls. APP, PSEN1, PSEN2, and APOE were sequenced using a targeted panel. Variants were classified into common or rare variants with the minor allele frequencies (MAF) cutoff of 0.01. Common variant (MAF≥0.01)-based association test was performed by PLINK 1.9, and gene-based (MAF <0.01) association analysis was conducted using Sequence Kernel Association Test-Optimal (SKAT-O test). Additionally, using PLINK 1.9, we performed AD endophenotypes association studies. RESULTS A common variant, PSEN2 rs11405, was suggestively associated with AD risk (p = 1.08 × 10-2 ). The gene-based association analysis revealed that the APP gene exhibited a significant association with AD (p = 1.43 × 10-2 ). In the AD endophenotypes association studies, APP rs459543 was nominally correlated with CSF Aβ42 level (p = 7.91 × 10-3 ). CONCLUSION Our study indicated that non-pathogenic variants in PSEN2 and APP may be involved in AD pathogenesis in the Chinese population.
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Affiliation(s)
- Xuewen Xiao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Hui Liu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Lu Zhou
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Xixi Liu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Tianyan Xu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yuan Zhu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Qijie Yang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Xiaoli Hao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yingzi Liu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Weiwei Zhang
- Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Department of Radiology, Xiangya HospitalCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Yafang Zhou
- Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Junling Wang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Jinchen Li
- Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina
| | - Bin Jiao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Lu Shen
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan ProvinceChangshaChina
| | - Xinxin Liao
- Bioinformatics Center && National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
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17
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Wang X, Jiao B, Liu H, Wang Y, Hao X, Zhu Y, Xu B, Xu H, Zhang S, Jia X, Xu Q, Liao X, Zhou Y, Jiang H, Wang J, Guo J, Yan X, Tang B, Zhao R, Shen L. Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease. CNS Neurosci Ther 2022; 28:2206-2217. [PMID: 36089740 PMCID: PMC9627364 DOI: 10.1111/cns.13963] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/03/2022] [Accepted: 08/23/2022] [Indexed: 02/06/2023] Open
Abstract
AIMS We mainly evaluate retinal alterations in Alzheimer's disease (AD) patients, investigate the associations between retinal changes with AD biomarkers, and explore an optimal machine learning (ML) model for AD diagnosis based on retinal thickness. METHODS A total of 159 AD patients and 299 healthy controls were enrolled. The retinal parameters of each participant were measured using optical coherence tomography (OCT). Additionally, cognitive impairment severity, brain atrophy, and cerebrospinal fluid (CSF) biomarkers were measured in AD patients. RESULTS AD patients demonstrated a significant decrease in the average, superior, and inferior quadrant peripapillary retinal nerve fiber layer, macular retinal nerve fiber layer, ganglion cell layer (GCL), inner plexiform layer (IPL) thicknesses, as well as total macular volume (TMV) (all p < 0.05). Moreover, TMV was positively associated with Mini-Mental State Examination and Montreal Cognitive Assessment scores, IPL thickness was correlated negatively with the medial temporal lobe atrophy score, and the GCL thickness was positively correlated with CSF Aβ42 /Aβ40 and negatively associated with p-tau level. Based on the significantly decreased OCT variables between both groups, the XGBoost algorithm exhibited the best diagnostic performance for AD, whose four references, including accuracy, area under the curve, f1 score, and recall, ranged from 0.69 to 0.74. Moreover, the macular retinal thickness exhibited an absolute superiority for AD diagnosis compared with other enrolled variables in all ML models. CONCLUSION We identified the retinal alterations in AD patients and found that macular thickness and volume were associated with AD severity and biomarkers. Furthermore, we confirmed that OCT combined with ML could serve as a potential diagnostic tool for AD.
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Affiliation(s)
- Xin Wang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Bin Jiao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Hui Liu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yaqin Wang
- Health Management Center, the Third Xiangya HospitalCentral South UniversityChangshaChina
| | - Xiaoli Hao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yuan Zhu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Bei Xu
- Eye Center of Xiangya HospitalCentral South UniversityChangshaChina
| | - Huizhuo Xu
- Eye Center of Xiangya HospitalCentral South UniversityChangshaChina
| | - Sizhe Zhang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Xiaoliang Jia
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Qian Xu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Xinxin Liao
- National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yafang Zhou
- National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina
| | - Hong Jiang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Junling Wang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Jifeng Guo
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Xinxiang Yan
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Beisha Tang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Rongchang Zhao
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Lu Shen
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Key Laboratory of Organ InjuryAging and Regenerative Medicine of Hunan ProvinceChangshaChina
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18
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Wang X, Wang Y, Liu H, Zhu X, Hao X, Zhu Y, Xu B, Zhang S, Jia X, Weng L, Liao X, Zhou Y, Tang B, Zhao R, Jiao B, Shen L. Macular Microvascular Density as a Diagnostic Biomarker for Alzheimer’s Disease. J Alzheimers Dis 2022; 90:139-149. [DOI: 10.3233/jad-220482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Some previous studies showed abnormal pathological and vascular changes in the retina of patients with Alzheimer’s disease (AD). However, whether retinal microvascular density is a diagnostic indicator for AD remains unclear. Objective: This study evaluated the macular vessel density (m-VD) in the superficial capillary plexus and fovea avascular zone (FAZ) area in AD, explored their correlations with clinical parameters, and finally confirmed an optimal machine learning model for AD diagnosis. Methods: 77 patients with AD and 145 healthy controls (HCs) were enrolled. The m-VD and the FAZ area were measured using optical coherence tomography angiography (OCTA) in all participants. Additionally, AD underwent neuropsychological assessment, brain magnetic resonance imaging scan, cerebrospinal fluid (CSF) biomarker detection, and APOE ɛ4 genotyping. Finally, the performance of machine learning algorithms based on the OCTA measurements was evaluated by Python programming language. Results: The m-VD was noticeably decreased in AD compared with HCs. Moreover, m-VD in the fovea, superior inner, inferior inner, nasal inner subfields, and the whole inner ring declined significantly in mild AD, while it was more serious in moderate/severe AD. However, no significant difference in the FAZ was noted between AD and HCs. Furthermore, we found that m-VD exhibited a significant correlation with cognitive function, medial temporal atrophy and Fazekas scores, and APOE ɛ4 genotypes. No significant correlations were observed between m-VD and CSF biomarkers. Furthermore, results revealed the Adaptive boosting algorithm exhibited the best diagnostic performance for AD. Conclusion: Macular vascular density could serve as a diagnostic biomarker for AD.
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Affiliation(s)
- Xin Wang
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
| | - Yaqin Wang
- Health Management Center, the Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hui Liu
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
| | - Xiangyu Zhu
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
| | - Xiaoli Hao
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
| | - Bei Xu
- Eye Center of Xiangya Hospital, Central South University, Changsha, China
| | - Sizhe Zhang
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
| | - Xiaoliang Jia
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Ling Weng
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province inNeurodegenerative Disorders, Central South University, Changsha, China
| | - Xinxin Liao
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province inNeurodegenerative Disorders, Central South University, Changsha, China
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yafang Zhou
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province inNeurodegenerative Disorders, Central South University, Changsha, China
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province inNeurodegenerative Disorders, Central South University, Changsha, China
| | - Rongchang Zhao
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province inNeurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, CentralSouth University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province inNeurodegenerative Disorders, Central South University, Changsha, China
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19
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Hao X, Wen S, Li Y, Xu Y, Xue Y. Can the digital economy development curb carbon emissions? Evidence from China. Front Psychol 2022; 13:938918. [PMID: 36118501 PMCID: PMC9479466 DOI: 10.3389/fpsyg.2022.938918] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/29/2022] [Indexed: 11/21/2022] Open
Abstract
“Carbon neutrality, carbon peaking” is China’s national commitment to the whole world about its plans to manage global climate change. China faces many severe challenges in fulfilling its commitments to reduce emissions. China’s digital economy is currently booming, and whether it can provide opportunities for reducing regional carbon emissions is worth exploring. This study constructed a comprehensive system to evaluate the development of its digital economy based on China’s regional data and empirically tested the direct, indirect, and spatial effects of the comprehensive development of digital economy on regional carbon emissions. In addition, it examined the special stage characteristics using a Hansen threshold model. This study found the following: first, the digital economy significantly suppresses carbon emissions in general, notably with a spatial spillover effect to neighboring provinces. Secondly, an analysis of the mechanism shows that the comprehensive development of a digital economy can restrain regional carbon emissions through industrial progress and the optimization of energy consumption. Third, there are double thresholds, special driving trends and an “inverted N-type” relationship with development. Fourth, a spatial heterogeneity analysis revealed that significant “local” and “neighboring” impacts on the reduction of carbon emissions only exist in the central and eastern areas. This study has a reference value for releasing the dividend of digital economy development and reducing carbon emissions.
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Affiliation(s)
- Xiaoli Hao
- School of Economics and Management, Xinjiang University, Urumqi, China
- Center for Innovation Management Research, Xinjiang University, Urumqi, China
| | - Shufang Wen
- School of Economics and Management, Xinjiang University, Urumqi, China
| | - Yuhong Li
- School of Economics and Finance, Xi’an Jiaotong University, Xi’an, China
| | - Yuping Xu
- Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou, China
- *Correspondence: Yuping Xu,
| | - Yan Xue
- School of Economics and Trade, Hunan University, Changsha, China
- Yan Xue,
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20
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Xu Z, Teng F, Hao X, Wang Q, Li J, Xing P. EP08.02-100 Combination of Bevacizumab and Continuation of EGFR-TKIs in NSCLC Patients beyond Gradual Progression. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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21
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Zou Z, Hao X, Xing P, Li J. EP08.02-007 Disease Burden and Clinical Outcomes of Advanced ROS1 Positive NSCLC with Different Fusion Partners. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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22
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Yang Y, Yang G, Xu H, Hao X, Zhang S, Ai X, Lei SY, Wang Y. 1044P Taxanes plus immunotherapy might be a potential option for HER2-altered NSCLC beyond first-line progression: A retrospective real-world study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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23
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Zou Z, Hao X, Xing P, Li J. EP08.02-008 Tumor Invasiveness and Clinical Outcomes between Metastatic ROS-1 and ALK Positive NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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24
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Teng F, Xu Z, Xing P, Hao X, Li J. EP13.01-013 Determination of the Timing of Bevacizumab Administration in Osimertinib and Bevacizumab Combination Therapy. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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25
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Xiao X, Xu T, Liu H, Liu X, Liao X, Zhou Y, Zhou L, Wang X, Zhu Y, Yang Q, Hao X, Liu Y, Jiang H, Guo J, Wang J, Tang B, Li J, Shen L, Jiao B. CYLD variants identified in Alzheimer's disease and frontotemporal dementia patients. Ann Clin Transl Neurol 2022; 9:1596-1601. [PMID: 36000313 PMCID: PMC9539372 DOI: 10.1002/acn3.51655] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Objectives CYLD was a novel causative gene for frontotemporal dementia (FTD) and amyotrophic lateral sclerosis. Given the clinical and pathological overlap of FTD and Alzheimer's disease (AD), it is necessary to screen CYLD in AD patients and FTD patients in the Chinese population. Methods In our study, using a targeted sequencing panel, we sequenced the CYLD gene in a large cohort of 2485 participants in the Chinese population, including 1008 AD patients, 105 FTD patients, and 1372 controls. Results In the present study, the average onset age of AD and FTD patients was 66.84 ± 30.42 years old and 60 ± 10.00 years old, respectively. Our study reported three novel CYLD variants: p.Phe288Leu (patient No. 1, AD), p.Tyr485Phe (patients No. 6–9, all AD) and p.Thr951Ala (patient No. 10, AD), plus a previously reported variant: p.Arg397Ser (patient No. 2–5, AD and No. 11, FTD). These variants were absent in our in‐house controls and predicted to be deleterious according to the MutationTaster. The variant carriers were composed of 10 AD patients and one FTD patient, and the average onset age was 61.2 ± 10.9 years. The frequency of CYLD variants in AD was similar to that in FTD, which was 0.99% (10/1008) and 0.95% (1/105), respectively. Interpretation Our finding extended the genotype and phenotype of the CYLD gene and demonstrated that CYLD rare damaging variants may be implicated in AD and FTD pathogenesis.
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Affiliation(s)
- Xuewen Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Tianyan Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xixi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xinxin Liao
- Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yafang Zhou
- Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Lu Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xin Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qijie Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoli Hao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yingzi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Jinchen Li
- Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
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26
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Hao X, Deng SY, Wang KY, Chen L, Hou JL, Wei WW, Chen J. [Application of liquid biopsy in early screening and recurrence prediction of hepatocellular carcinoma]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:814-819. [PMID: 36207938 DOI: 10.3760/cma.j.cn501113-20220627-00352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The incidence and mortality of HCC in China account for approximately 50% of all cases worldwide. Low early diagnosis rate and high postoperative recurrence rate are two major causes for poor 5-year survival rate of HCC patients in China. At present, multiple problems such as low performance and compliance of screening technology and lack of effective markers for predicting postoperative recurrence, remain to be resolved. Due to the simplicity and accuracy, new molecular markers, such as liquid biopsy, are expected to serve as supplementary tools to traditional screening and early warning approaches, thereby realizing early detection and accurate treatment of HCC. In this article, research progress upon the clinical application of liquid biopsy in early screening and prediction of postoperative recurrence of HCC was reviewed, and prospects the future research.
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Affiliation(s)
- X Hao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - S Y Deng
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - K Y Wang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - L Chen
- National Center for liver Cancer/Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200433,China
| | - J L Hou
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - W W Wei
- Medical Affairs Department, Berry Oncology Clinical Laboratory, Fuzhou 350200, China
| | - Jinzhang Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
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27
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You J, Hao X, Falo L, Hao R, Zhang J, Carey C, You Z, Falo L. 057 Targeting keratinocytes to potentiate skin immunization. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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28
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Yang Y, Gong Z, Lu Y, Lu X, Zhang J, Meng Y, Peng Y, Chu S, Cao W, Hao X, Sun J, Wang H, Qin A, Wang C, Shang S, Yang Z. Dairy Cows Experimentally Infected With Bovine Leukemia Virus Showed an Increased Milk Production in Lactation Numbers 3–4: A 4-Year Longitudinal Study. Front Microbiol 2022; 13:946463. [PMID: 35898913 PMCID: PMC9309534 DOI: 10.3389/fmicb.2022.946463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022] Open
Abstract
Bovine leukemia virus (BLV) is widespread in global cattle populations, but the effects of its infection on milk quantity and quality have not been clearly elucidated in animal models. In this study, 30 healthy first-lactation cows were selected from ≈2,988 cows in a BLV-free farm with the same criteria of parity, age, lactation number, as well as milk yield, SCS, and composition (fat, protein, and lactose). Subsequently, these cows were randomly assigned to the intervention (n = 15) or control (n = 15) group, and reared in different cowsheds. Cows in the intervention group were inoculated with 1 × phosphate-buffered solution (PBS) resuspended in peripheral blood mononuclear cells (PBMC) from a BLV-positive cow, while the controls were inoculated with the inactivated PBMC from the same individual. From June 2016 to July 2021, milk weight (kg) was automatically recorded by milk sensors, and milk SCS and composition were originated from monthly performed dairy herd improvement (DHI) testing. Fluorescence resonance energy transfer (FRET)–qPCR and ELISA showed that cows in the intervention group were successfully infected with BLV, while cows in the control group were free of BLV for the entire period. At 45 days post-inoculation (DPI), the numbers of whole blood cells (WBCs) (P = 0.010), lymphocytes (LYMs) (P = 0.002), and monocytes (MNCs) (P = 0.001) and the expression levels of IFN-γ (P = 0.013), IL-10 (P = 0.031), and IL-12p70 (P = 0.008) increased significantly in the BLV infected cows compared to the non-infected. In lactation numbers 2–4, the intervention group had significantly higher overall milk yield (P < 0.001), fat (P = 0.031), and protein (P = 0.050) than the control group, while milk SCS (P = 0.038) and lactose (P = 0.036) decreased significantly. Further analysis indicated that BLV infection was associated with increased milk yield at each lactation stage in lactation numbers 3–4 (P = 0.021 or P < 0.001), but not with SCS and milk composition. Together, this 4-year longitudinal study revealed that artificial inoculation of BLV increased the milk yield in cows in this BLV challenge model.
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Affiliation(s)
- Yi Yang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
- *Correspondence: Yi Yang
| | - Zaicheng Gong
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Yi Lu
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Xubin Lu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Jilei Zhang
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Ye Meng
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Yalan Peng
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Shuangfeng Chu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Wenqiang Cao
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Xiaoli Hao
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Jie Sun
- Shenzhen Academy of Inspection and Quarantine Sciences, Shenzhen, China
| | - Heng Wang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Aijian Qin
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
| | - Chengming Wang
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Shaobin Shang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
- Shaobin Shang
| | - Zhangping Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
- Zhangping Yang
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Hao X, Reyes Palomares A, Rodriguez-Wallberg K. P-448 Changes in gene transcription induced by cyclophosphamide treatment in an experimental ovarian culture model. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
How does cyclophosphamide (CPA) treatment impact at transcriptional level on mouse ovarian tissue?
Summary answer
Cultured murine ovarian tissue with CPA versus control showed up-regulated intrinsic and extrinsic apoptotic signaling pathways, associated with DNA damage, DNA repair and oxidative response.
What is known already
Alkylating chemotherapeutic treatment depletes the ovarian pool and induces infertility in women. The suggested mechanisms behind these adverse effects include apoptosis and/or over-activation of the dormant primordial follicle pool. However, there is a lack of knowledge about the pathways that lead to these outcomes and previous researches have been inconclusive. The investigation of changes in the ovarian transcriptomic profiling following the alkylating drug CPA treatment can be useful to identify new potential targets for fertility preservation in women treated for cancer.
Study design, size, duration
Controlled experimental study using 20 female B6CBA/F1 4-day-old mice. Ovaries were collected and randomly assigned to CPA (4-hydroperoxycyclophosphamide) treated group (n = 20) or control group (n = 20). Five ovaries/group were collected at 8, 12, 24 and 36 h to investigate the dynamic of the changes. RNA extraction and RNA sequencing analysis were carried out.
Participants/materials, setting, methods
Ovaries were cultured on Millicell cell culture inserts floating on 0.25 mL culture medium in a 24-well plate. Freshly prepared 4-hydroperoxycyclophosphamide solution was added to the wells of CPA group (final concentration = 5 µM). Equal amount of solvent was added to the wells of control group. Culture medium was refreshed at 48 h with culture medium only. RNA sequencing data were processed for subsequent differentially expressed genes (DEGs) and gene set enrichment analysis (GSEA).
Main results and the role of chance
At 8 h, CPA treatment induced the up-regulation of biological processes related to hypoxia, cell growth and embryonic organ development. At 12 h, DNA damage and the ovarian cell responses were evidenced by an increased activity of DNA damage response, DNA damage checkpoint, DNA repair (double-strand break, mismatch, single strand binding), stress-activated MAPK cascade, antioxidant activity and intrinsic apoptotic signaling pathway. The representative genes of these processes there were Bbc3, Bax, Trp73, Cdkn1a, Trp53inp1 and Mdm2. A dramatic increase in the number of DEGs was found at 24 h (8 h, n = 209; 12 h, n = 239; 24 h, n = 2013). Also at 24 h DNA repair, intrinsic and extrinsic apoptotic signaling pathways were the most representative processes evidenced by the addition of Rad9a, H2afx, Casp3, Bak1 and Casp8 genes to the above mentioned. Whereas, germ cell related genes Ybx2, Nobox and Ddx4 were all down-regulated. At 36 h, the number of DEGs (n = 3804) still increased, the up-regulated pathways were similar to 24 h, while meiosis and microtubule-based movements pathways were observed in the down-regulated set too.
Limitations, reasons for caution
Although the age of the mice chosen for the experiment ensured a high and representative content of primordial follicles in the ovary, whole ovaries were used for RNA sequencing analysis containing a heterogeneous composition of cells other than follicles.
Wider implications of the findings
Our results provide evidence of dynamic sequential changes in transcriptional level where apoptosis was involved in CPA-induced ovarian follicle depletion. Our research indicates a time frame before the occurrence of DNA definitive damage following CPA-treatment, where application of possible treatments in order to prevent the following apoptosis would be possible.
Trial registration number
Not Applicable
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Affiliation(s)
- X Hao
- Karolinska Institutet, Department of Oncology and Pathology , Stockholm, Sweden
| | - A Reyes Palomares
- Karolinska Institutet, Department of Oncology and Pathology , Stockholm, Sweden
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Tian Y, Hao Y, Dong M, Li S, Wang D, Jiang F, Wang Q, Hao X, Yang Y, Chen N, Zhu J, Guo J, Wu J, Shang S, Zhou J. Development of a Monoclonal Antibody to Pig CD69 Reveals Early Activation of T Cells in Pig after PRRSV and ASFV Infection. Viruses 2022; 14:v14061343. [PMID: 35746813 PMCID: PMC9231377 DOI: 10.3390/v14061343] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/14/2022] [Accepted: 06/16/2022] [Indexed: 02/04/2023] Open
Abstract
The CD69 molecule, as an early activation marker of lymphocytes, is often used to assess the activation of cellular immunity. However, for pigs, an anti-pig CD69 antibody is not yet available for this purpose after infection or vaccination. In this study, a monoclonal antibody (mAb) against pig CD69 was produced by peptide immunization and hybridoma technique. One mAb (5F12) showed good reactivity with pig CD69 that was expressed in transfected-HEK-293T cells and on mitogen-activated porcine peripheral blood mononuclear cells (PBMCs) by indirect immunofluorescence assay and flow cytometry. This mAb did not cross-react with activated lymphocytes from mouse, bovine, and chicken. Epitope mapping showed that the epitope recognized by this mAb was located at amino acid residues 147–161 of pig CD69. By conjugating with fluorochrome, this mAb was used to detect the early activation of lymphocytes in PRRSV- and ASFV-infected pigs by flow cytometry. The results showed that PRRSV infection induced the dominant activation of CD4 T cells in mediastinal lymph nodes and CD8 T cells in the spleen at 14 days post-infection, in terms of CD69 expression. In an experiment on ASFV infection, we found that ASFV infection resulted in the early activation of NK cells, B cells, and distinct T cell subsets with variable magnitude in PBMCs, spleen, and submandibular lymph nodes. Our study revealed an early event of lymphocyte and T cell activation after PRRSV and ASFV infections and provides an important immunological tool for the in-depth analysis of cellular immune response in pigs after infection or vaccination.
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Affiliation(s)
- Yunfei Tian
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
| | - Yuxin Hao
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing 102609, China; (Y.H.); (D.W.); (F.J.); (Q.W.)
| | - Maoli Dong
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
| | - Shuai Li
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
| | - Dongyue Wang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing 102609, China; (Y.H.); (D.W.); (F.J.); (Q.W.)
| | - Fei Jiang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing 102609, China; (Y.H.); (D.W.); (F.J.); (Q.W.)
| | - Qingqing Wang
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing 102609, China; (Y.H.); (D.W.); (F.J.); (Q.W.)
| | - Xiaoli Hao
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
| | - Yi Yang
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
| | - Nanhua Chen
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
| | - Jianzhong Zhu
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Junqing Guo
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450008, China;
| | - Jiajun Wu
- The Biosafety High-Level Laboratory Management Office, China Animal Disease Control Center, Beijing 102609, China; (Y.H.); (D.W.); (F.J.); (Q.W.)
- Correspondence: (J.W.); (S.S.)
| | - Shaobin Shang
- Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (Y.T.); (M.D.); (S.L.); (X.H.); (Y.Y.); (N.C.); (J.Z.)
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou 225009, China
- Correspondence: (J.W.); (S.S.)
| | - Jiyong Zhou
- College of Animal Science, Zhejiang University, Hangzhou 310058, China;
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He S, Chen L, Hao X, Yang Y, Shang S. First Characterization of Chicken Interleukin-9. Front Immunol 2022; 13:889991. [PMID: 35795670 PMCID: PMC9252340 DOI: 10.3389/fimmu.2022.889991] [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: 03/04/2022] [Accepted: 05/23/2022] [Indexed: 11/20/2022] Open
Abstract
Interleukin-9 (IL-9) is a pleiotropic cytokine that acts on a variety of cells and tissues, and plays roles in inflammation and infection as well as tumor immunity. While mammalian IL-9s have been widely investigated, avian IL-9 has not yet been identified and characterized. In this study, we cloned chicken IL-9 (chIL-9) and performed a phylogenetic analysis, examined its tissue distribution, characterized the biological functions of recombinant chIL-9 (rchIL-9) and the expression form of natural chIL-9. Phylogenetic analysis showed that chIL-9 has less than 30% amino acid identity with mammalian IL-9s. The chIL-9 mRNA can be abundantly detected only in the testis and thymus, and are significantly up-regulated in peripheral blood mononuclear cells (PBMCs) upon mitogen stimulation. The rchIL-9 was produced by prokaryotic and eukaryotic expression systems and showed biological activity in activating monocytes/macrophages to produce inflammatory cytokines and promoting the proliferation of CD3+ T cells. In addition, four monoclonal antibodies (mAbs) and rabbit polyclonal antibody (pAb) against rchIL-9 were generated. Using anti-chIL-9 mAbs and pAb, natural chIL-9 expressed by the activated PBMCs of chickens with a molecular weight of 25kD was identified by Western-blotting. Collectively, our study reveals for the first time the presence of functional IL-9 in birds and lays the ground for further investigating the roles of chIL-9 in diseases and immunity.
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Affiliation(s)
- Shuangjiang He
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Lina Chen
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Xiaoli Hao
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Yi Yang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Shaobin Shang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
- *Correspondence: Shaobin Shang,
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He D, Wang X, Wu H, Wang X, Yan Y, Li Y, Zhan T, Hao X, Hu J, Hu S, Liu X, Ding C, Su S, Gu M, Liu X. Genome-Wide Reassortment Analysis of Influenza A H7N9 Viruses Circulating in China during 2013-2019. Viruses 2022; 14:v14061256. [PMID: 35746727 PMCID: PMC9230085 DOI: 10.3390/v14061256] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/29/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
Reassortment with the H9N2 virus gave rise to the zoonotic H7N9 avian influenza virus (AIV), which caused more than five outbreak waves in humans, with high mortality. The frequent exchange of genomic segments between H7N9 and H9N2 has been well-documented. However, the reassortment patterns have not been described and are not yet fully understood. Here, we used phylogenetic analyses to investigate the patterns of intersubtype and intrasubtype/intralineage reassortment across the eight viral segments. The H7N9 virus and its progeny frequently exchanged internal genes with the H9N2 virus but rarely with the other AIV subtypes. Before beginning the intrasubtype/intralineage reassortment analyses, five Yangtze River Delta (YRD A-E) and two Pearl River Delta (PRD A-B) clusters were divided according to the HA gene phylogeny. The seven reset segment genes were also nomenclatured consistently. As revealed by the tanglegram results, high intralineage reassortment rates were determined in waves 2–3 and 5. Additionally, the clusters of PB2 c05 and M c02 were the most dominant in wave 5, which could have contributed to the onset of the largest H7N9 outbreak in 2016–2017. Meanwhile, a portion of the YRD-C cluster (HP H7N9) inherited their PB2, PA, and M segments from the co-circulating YRD-E (LP H7N9) cluster during wave 5. Untanglegram results revealed that the reassortment rate between HA and NA was lower than HA with any of the other six segments. A multidimensional scaling plot revealed a robust genetic linkage between the PB2 and PA genes, indicating that they may share a co-evolutionary history. Furthermore, we observed relatively more robust positive selection pressure on HA, NA, M2, and NS1 proteins. Our findings demonstrate that frequent reassortment, particular reassorted patterns, and adaptive mutations shaped the H7N9 viral genetic diversity and evolution. Increased surveillance is required immediately to better understand the current state of the HP H7N9 AIV.
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Affiliation(s)
- Dongchang He
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiyue Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Huiguang Wu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Yayao Yan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Yang Li
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Tiansong Zhan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Jiao Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Chan Ding
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Shuo Su
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China;
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Correspondence: (M.G.); (X.L.)
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Correspondence: (M.G.); (X.L.)
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Xiang N, Hao X, Chuang G, Wang L, Zhou Z, Wang G, Kun Q, Li X. POS0102 GLOBAL CHARACTERIZATION OF SALIVARY GLANDS IMMUNE MICROENVIRONMENT IN PRIMARY SJÖGREN’S SYNDROME BY SINGLE-CELL SEQUENCING. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundPrimary Sjögren’s syndrome (pSS) is a heterogeneous, chronic, complex systemic autoimmune disease. The hallmark symptom of the disease is exocrinopathy, chiefly salivary and lachrymal glands, which often results in dryness of the mouth and eyes. As of today, although a lot of genetic and epigenetic studies have reveal the complexity of pSS to a certain extent, but the knowledge of existing pSS disease heterogeneity is still limited and the immune mechanisms of salivary glands (SG) injury have been challenging to clarify.ObjectivesSingle-cell RNA sequencing (scRNA-seq) is a powerful tool capable of defining cell types and states on the basis of their individual transcriptome in a given sample from health and disease. To characterize the salivary glands immune microenvironment of patients with pSS, we performed droplet-based single cell mRNA sequencing (scRNA-seq) (10X Genomics) to provide a deeper insight into the cellular and molecular characteristics of salivary glands from pSS patients.Methods11 patients and 5 non-pSS controls were recruited from the The First Affiliated Hospital of USTC. The non-pSS were subjects who had experienced subjective symptoms of dryness, but no not meet any of the classification criteria of pSS. The clinical characteristics and laboratory findings of enrolled patients were also collected. After resection, salivary glands tissue samples were obtained after labial gland biopsy, rapidly digested to a single-cell suspension and subjected to scRNA-seq using the 10X platform. After rigorous quality control (QC) definition, low-quality cells were filtered. Following gene expression normalization for read depth and mitochondrial read count, we applied principle component analysis on genes variably expressed across all 72,853 cell.ResultsA total of 72,853 cells were obtained from all salivary glands samples. Our results revealed 12 major unique cell populations of salivary glands cell, including T cells, B cells, plasma cells, epithelial cells, myoepithelial cells, endothelial cells, myofibroblast, pericytes, melanocytes, fibroblast, myeloid cells and a cluster of unknown cells. As expected, lymphocytes (T and B cell populations) were significant increase in the salivary glands of patients with pSS. For further subsets analysis, we identify 41 subsets, including novel subpopulations in cell types hitherto considered to be homogeneous, as well as transcription factors underlying their heterogeneity. Strikingly, we found that differentially expressed genes (DEGs) that myoepithelial cells uniquely downregulated in pSS patients were involved in regeneration, stem cell population maintenance, cell division, and epithelial cell proliferation. This indicated an impaired stem cell property and regeneration capacity of myoepithelial cells in the SG of pSS patients which may result in the reduction of normal epithelial cells differentiation and proliferation. Our results identified three distinct endothelial subtypes according to the differentially expressed cell markers. ACKR1+ endothelial cells were expanded in the SG of pSS patients which may enhance Leukocyte transendothelial migration. A clear interferon response was observed in most celltypes. We also found a significantly expand PD-1hiCXCR5–CD4+T peripheral helper (Tph), GZMK+CD8+ T cells and a patient-specific fibroblasts in pSS patients. Cellular interaction analysis of SG revealed a strong interaction between epithelial cells and immune cells from pSS patients through CD74-MIF, MIF-TNFRSF14 and HLA-C-FAM3C receptor/ ligand pairs. Chemokine receptors CXCR4 were broadly expressed in SG immune cells implying a potentially central role in cell trafficking.ConclusionThis resource provides deeper insights into pSS salivary glands immune microenvironment that will be helpful in understanding of the disease heterogeneity and advancing pSS therapy.Disclosure of InterestsNone declared
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Wang S, Xie T, Wang Y, Hao X, Yuan P, Cao Q, Wang H, Lin L, Ying J, Li J, Xing P. 166P Integrated analysis reveals TP53 mutation as a biomarker of anti-PD-1/PD-L1 treatment for epidermal growth factor receptor (EGFR)-mutant lung adenocarcinoma patients. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Zou Z, Hao X, Li Y, Xing P, Ying J, Li J. 69P Tumor invasiveness, response to ALK inhibitors and resistance mechanism in NSCLC with different ALK variants. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Wang Y, Yang G, Xu H, Zhang S, Yang Y, Xu F, Lei S, Ai X, Li H, Hao X, Li J. 15P Preliminary results of histone deacetylase inhibitor tucidinostat combined with PD-1 inhibitor sintilimab in non-small cell lung cancer failed to standard therapies. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Xiao X, Liao X, Zhou Y, Weng L, Guo L, Zhou L, Wang X, Liu X, Liu H, Bi X, Xu T, Zhu Y, Yang Q, Zhang S, Hao X, Liu Y, Zhang W, Li J, Shen L, Jiao B. Variants in the Niemann-Pick type C genes are not associated with Alzheimer's disease: A large case-control study in the Chinese Population. Neurobiol Aging 2022; 116:49-54. [DOI: 10.1016/j.neurobiolaging.2022.04.008] [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: 01/19/2022] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 10/18/2022]
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Hao X, Su A. MiR-590 suppresses the progression of non-small cell lung cancer by regulating YAP1 and Wnt/β-catenin signaling. Clin Transl Oncol 2022; 24:546-555. [PMID: 35031966 DOI: 10.1007/s12094-021-02713-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/19/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Accumulating evidence has been revealed that miR-590 is involved in the progression and carcinogenesis of various cancers. However, the molecular mechanism of miR-590 in non-small-cell lung cancer (NSCLC) remains unclear. METHODS Quantitative reverse transcription-PCR (qRT-PCR), western blot, MTT, and transwell assay were applied to investigate the functional role of miR-590 in this study. Dual luciferase reporter assay was utilized to investigate the interaction between YAP1 and miR-590 expression. Cells transfected with miR-590 mimic or inhibitor were subjected to western blot to investigate the role of Wnt/β-catenin signaling in NSCLC modulated by miR-590. RESULTS MiR-590 was down-regulated in NSCLC tissues and cells. Kaplan-Meier analysis found that the higher expression of miR-590 in NSCLC patients, the more improved survival rate of NSCLC patients. Over-expression of miR-590 inhibited NSCLC cell proliferation, migration, and invasion. Moreover, increasing miR-590 suppressed Yes-associated protein 1 (YAP1) expression and inhibited the Wnt/β-catenin pathway in NSCLC cells. Furthermore, miR-590 was negatively correlated with YAP1 expression. CONCLUSION These findings demonstrated that the miR-590/YAP1 axis exerted an important role in the progression of NSCLC, suggesting that miR-590 might be the appealing prognostic marker for NSCLC treatment.
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Affiliation(s)
- X Hao
- Department of Internal Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
| | - A Su
- General Department, Bejing Chaoyang District Sanhuan Cancer Hospital, Beijing, 100122, China
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Zhao C, Wang X, Yu L, Wu L, Hao X, Liu Q, Lin L, Huang Z, Ruan Z, Weng S, Liu A, Lin X. Quaternized carbon quantum dots with broad-spectrum antibacterial activity for the treatment of wounds infected with mixed bacteria. Acta Biomater 2022; 138:528-544. [PMID: 34775123 DOI: 10.1016/j.actbio.2021.11.010] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [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: 07/21/2021] [Revised: 10/10/2021] [Accepted: 11/07/2021] [Indexed: 01/02/2023]
Abstract
Bacterial resistance to antibiotics have become one of the most severe threats in global public health, so the development of new-style antimicrobial agents is urgent. In this work, quaternized carbon quantum dots (qCQDs) with broad-spectrum antibacterial activity were synthesized by a simple green "one-pot" method using dimethyl diallyl ammonium chloride and glucose as reaction precursors. The qCQDs displayed satisfactory antibacterial activity against both Gram-positive and gram-negative bacteria. In rat models of wounds infected with mixed bacteria, qCQDs obviously restored the weight of rats, significantly reduced the death of rats from severe infection, and promoted the recovery and healing of infected wounds. Biosafety tests confirmed that qCQDs had no obvious toxic and side effects during the testing stage. The analysis of quantitative proteomics revealed that qCQDs mainly acted on ribosomal proteins in Staphylococcus aureus (Gram-positive bacteria) and significantly down-regulated proteins associated with citrate cycle in Escherichia coli (Gram-negative bacteria). Meanwhile, real-time quantitative PCR confirmed that the variation trend of genes corresponding to the proteins associated with ribosome and citrate cycle was consistent with the proteomic results after treatment of qCQDs, suggesting that qCQDs has a new antibacterial mechanism which is different from the reported carbon quantum dots with antibacterial action. STATEMENT OF SIGNIFICANCE: With the development of the research on carbon quantum dots, the application of carbon quantum dots in the field of medicine has attracted extensive attention. In this paper, quaternized carbon quantum dots (qCQDs) with antimicrobial activity prepared by specific methods were studied, including antimicrobial spectrum, antimicrobial mechanism and in vivo antimicrobial application. The antimicrobial mechanism of qCQDs was studied by proteomics and RT-qRCR, and the different mechanisms of qCQDs against Gram-positive and Gram-negative bacteria were also found. This study provides a research foundation for the application of carbon quantum dots in antimicrobial field, and also expands the application range of carbon quantum dots in medicine field.
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Affiliation(s)
- Chengfei Zhao
- Department of Pharmacy, School of Pharmacy and Medical Technology, Putian University, Putian, 351100, China; Key Laboratory of Pharmaceutical Analysis and Laboratory Medicine in University of Fujian Province, Putian University, Putian, 351100, China
| | - Xuewen Wang
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China; Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou 350122, China
| | - Luying Yu
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China
| | - Lina Wu
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China
| | - Xiaoli Hao
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China
| | - Qicai Liu
- Center for Reproductive Medicine, 1st Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Liqing Lin
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China; Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou 350122, China
| | - Zhengjun Huang
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China; Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou 350122, China
| | - Zhipeng Ruan
- Department of Pharmacy, School of Pharmacy and Medical Technology, Putian University, Putian, 351100, China; Key Laboratory of Pharmaceutical Analysis and Laboratory Medicine in University of Fujian Province, Putian University, Putian, 351100, China
| | - Shaohuang Weng
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China; Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou 350122, China.
| | - Ailin Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China; Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou 350122, China.
| | - Xinhua Lin
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China; Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou 350122, China.
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He D, Gu M, Wang X, Wang X, Li G, Yan Y, Gu J, Zhan T, Wu H, Hao X, Wang G, Hu J, Hu S, Liu X, Su S, Ding C, Liu X. Spatiotemporal Associations and Molecular Evolution of Highly Pathogenic Avian Influenza A H7N9 Virus in China from 2017 to 2021. Viruses 2021; 13:2524. [PMID: 34960793 PMCID: PMC8705967 DOI: 10.3390/v13122524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 12/20/2022] Open
Abstract
Highly pathogenic (HP) H7N9 avian influenza virus (AIV) emerged in China in 2016. HP H7N9 AIV caused at least 33 human infections and has been circulating in poultry farms continuously since wave 5. The genetic divergence, geographic patterns, and hemagglutinin adaptive and parallel molecular evolution of HP H7N9 AIV in China since 2017 are still unclear. Here, 10 new strains of HP H7N9 AIVs from October 2019 to April 2021 were sequenced. We found that HP H7N9 was primarily circulating in Northern China, particularly in the provinces surrounding the Bohai Sea (Liaoning, Hebei, and Shandong) since wave 6. Of note, HP H7N9 AIV phylogenies exhibit a geographical structure compatible with high levels of local transmission after unidirectional rapid geographical expansion towards the north of China in 2017. In addition, we showed that two major subclades were continually expanding with the viral population size undergoing a sharp increase after 2018 with an obvious seasonal tendency. Notably, the hemagglutinin gene showed signs of parallel evolution and positive selection. Our research sheds light on the current epidemiology, evolution, and diversity of HP H7N9 AIV that can help prevent and control the spreading of HP H7N9 AIV.
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Affiliation(s)
- Dongchang He
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiyue Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Gairu Li
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yayao Yan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Jinyuan Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Tiansong Zhan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Huiguang Wu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Guoqing Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Jiao Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shuo Su
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Chan Ding
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
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Hao X, Zhang F, Yang Y, Shang S. The Evaluation of Cellular Immunity to Avian Viral Diseases: Methods, Applications, and Challenges. Front Microbiol 2021; 12:794514. [PMID: 34950125 PMCID: PMC8689181 DOI: 10.3389/fmicb.2021.794514] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/19/2021] [Indexed: 11/29/2022] Open
Abstract
Cellular immune responses play critical roles in the control of viral infection. However, the immune protection against avian viral diseases (AVDs), a major challenge to poultry industry, is yet mainly evaluated by measuring humoral immune response though antibody-independent immune protection was increasingly evident in the development of vaccines against some of these diseases. The evaluation of cellular immune response to avian viral infection has long been neglected due to limited reagents and methods. Recently, with the availability of more immunological reagents and validated approaches, the evaluation of cellular immunity has become feasible and necessary for AVD. Herein, we reviewed the methods used for evaluating T cell immunity in chickens following infection or vaccination, which are involved in the definition of different cellular subset, the analysis of T cell activation, proliferation and cytokine secretion, and in vitro culture of antigen-presenting cells (APC) and T cells. The pros and cons of each method were discussed, and potential future directions to enhance the studies of avian cellular immunity were suggested. The methodological improvement and standardization in analyzing cellular immune response in birds after viral infection or vaccination would facilitate the dissection of mechanism of immune protection and the development of novel vaccines and therapeutics against AVD.
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Affiliation(s)
- Xiaoli Hao
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Fan Zhang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Yi Yang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Shaobin Shang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
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Yang Y, He Y, Zhu G, Zhang J, Gong Z, Huang S, Lu G, Peng Y, Meng Y, Hao X, Wang C, Sun J, Shang S. Prevalence and molecular characterization of Wolbachia in field-collected Aedes albopictus, Anopheles sinensis, Armigeres subalbatus, Culex pipiens and Cx. tritaeniorhynchus in China. PLoS Negl Trop Dis 2021; 15:e0009911. [PMID: 34710095 PMCID: PMC8577788 DOI: 10.1371/journal.pntd.0009911] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 11/09/2021] [Accepted: 10/15/2021] [Indexed: 01/24/2023] Open
Abstract
Wolbachia are maternally transmitted intracellular bacteria that can naturally and artificially infect arthropods and nematodes. Recently, they were applied to control the spread of mosquito-borne pathogens by causing cytoplasmic incompatibility (CI) between germ cells of females and males. The ability of Wolbachia to induce CI is based on the prevalence and polymorphism of Wolbachia in natural populations of mosquitoes. In this study, we screened the natural infection level and diversity of Wolbachia in field-collected mosquitoes from 25 provinces of China based on partial sequence of Wolbachia surface protein (wsp) gene and multilocus sequence typing (MLST). Among the samples, 2489 mosquitoes were captured from 24 provinces between July and September, 2014 and the remaining 1025 mosquitoes were collected month-by-month in Yangzhou, Jiangsu province between September 2013 and August 2014. Our results showed that the presence of Wolbachia was observed in mosquitoes of Aedes albopictus (97.1%, 331/341), Armigeres subalbatus (95.8%, 481/502), Culex pipiens (87.0%, 1525/1752), Cx. tritaeniorhynchus (17.1%, 14/82), but not Anopheles sinensis (n = 88). Phylogenetic analysis indicated that high polymorphism of wsp and MLST loci was observed in Ae. albopictus mosquitoes, while no or low polymorphisms were in Ar. subalbatus and Cx. pipiens mosquitoes. A total of 12 unique mutations of deduced amino acid were identified in the wsp sequences obtained in this study, including four mutations in Wolbachia supergroup A and eight mutations in supergroup B. This study revealed the prevalence and polymorphism of Wolbachia in mosquitoes in large-scale regions of China and will provide some useful information when performing Wolbachia-based mosquito biocontrol strategies in China. The mosquitoes Aedes albopictus, Anopheles sinensis, Armigeres subalbatus, Culex pipiens and Cx. tritaeniorhynchus are native to China and the major vectors in the transmission of arboviruses, protozoans and nematodes. Recently, an innovative biocontrol strategy has been developed and evaluated based on the ability of Wolbachia to induce cytoplasmic incompatibility (CI), as well as interfere with the infection and replication of pathogens. Since the ability to induce CI largely depends on the density and diversity of Wolbachia, we investigated and characterized the natural infection of Wolbachia in above-mentioned five species of field-collected mosquitoes in 25 provinces of China. The results showed that the positive rates of Wolbachia infection were high in mosquitoes of Ae. albopictus, Ar. subalbatus and Cx. pipiens in large-scale regions of China and low in Cx. tritaeniorhynchus in Guizhou province. Phylogenetic analysis based on Wolbachia surface protein (wsp) gene and five multilocus sequence typing (MLST) loci indicated the high polymorphism of Wolbachia in Ae. albopictus, and low polymorphisms in Ar. subalbatus and Cx. pipiens. This finding contributes to the understanding of the nationwide distribution of Wolbachia and the potential application of this biocontrol strategy in China.
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Affiliation(s)
- Yi Yang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
- * E-mail: (YY); (JS); (SS)
| | - Yifan He
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Guoding Zhu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China
| | - Jilei Zhang
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Zaicheng Gong
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Siyang Huang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
| | - Guangwu Lu
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Yalan Peng
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Yining Meng
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Xiaoli Hao
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Chengming Wang
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, Alabama, United States of America
| | - Jie Sun
- Shenzhen Academy of Inspection and Quarantine Sciences, Shenzhen, China
- * E-mail: (YY); (JS); (SS)
| | - Shaobin Shang
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, China
- International Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, China
- * E-mail: (YY); (JS); (SS)
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Zou Z, Xing P, Hao X, Zhang C, Ma K, Shan L, Song X, Li J. P45.15 Clinical Outcomes, Long-Term Survival and Toleration With Sequential Therapy of First-Line Crizotinib Followed by Alectinib in ALK+ NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Teng F, Xing P, Wang Y, Hu X, Lin L, Li J, Hao X. P64.03 A Phase II Single-Arm Trial of Apatinib as Maintenance Treatment Following First-Line Chemotherapy in Extensive Stage Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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45
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Teng F, Xing P, Yang K, Hao X, Wang Y, Hu X, Lin L, Li J. P63.15 Clinical Analysis of 89 Female Patients With Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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46
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Xu Z, Hao X, Lin L, Li J, Xing P. P48.12 Concurrent Chemotherapy and First-Generation EGFR-TKI as First-Line Treatment in Advanced Lung Adenocarcinoma Harboring EGFR Mutation. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Xiao X, Guo L, Liao X, Zhou Y, Zhang W, Zhou L, Wang X, Liu X, Liu H, Xu T, Zhu Y, Yang Q, Hao X, Liu Y, Wang J, Li J, Jiao B, Shen L. The role of vascular dementia associated genes in patients with Alzheimer's disease: A large case-control study in the Chinese population. CNS Neurosci Ther 2021; 27:1531-1539. [PMID: 34551193 PMCID: PMC8611771 DOI: 10.1111/cns.13730] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/01/2021] [Accepted: 09/05/2021] [Indexed: 12/16/2022] Open
Abstract
Aim The role of vascular dementia (VaD)‐associated genes in Alzheimer's disease (AD) remains elusive despite similar clinical and pathological features. We aimed to explore the relationship between these genes and AD in the Chinese population. Methods Eight VaD‐associated genes were screened by a targeted sequencing panel in a sample of 3604 individuals comprising 1192 AD patients and 2412 cognitively normal controls. Variants were categorized into common variants and rare variants according to minor allele frequency (MAF). Common variant (MAF ≥ 0.01)‐based association analysis was conducted by PLINK 1.9. Rare variant (MAF < 0.01) association study and gene‐based aggregation testing of rare variants were performed by PLINK 1.9 and Sequence Kernel Association Test‐Optimal (SKAT‐O test), respectively. Age at onset (AAO) and Mini‐Mental State Examination (MMSE) association studies were performed with PLINK 1.9. Analyses were adjusted for age, gender, and APOE ε4 status. Results Four common COL4A1 variants, including rs874203, rs874204, rs16975492, and rs1373744, exhibited suggestive associations with AD. Five rare variants, NOTCH3 rs201436750, COL4A1 rs747972545, COL4A1 rs201481886, CST3 rs765692764, and CST3 rs140837441, showed nominal association with AD risk. Gene‐based aggregation testing revealed that HTRA1 was nominally associated with AD. In the AAO and MMSE association studies, variants in GSN, ITM2B, and COL4A1 reached suggestive significance. Conclusion Common variants in COL4A1 and rare variants in HTRA1, NOTCH3, COL4A1, and CST3 may be implicated in AD pathogenesis. Besides, GSN, ITM2B, and COL4A1 are probably involved in the development of AD endophenotypes.
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Affiliation(s)
- Xuewen Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Lina Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xinxin Liao
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Yafang Zhou
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Weiwei Zhang
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Lu Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xin Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xixi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Tianyan Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qijie Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoli Hao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yingzi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Jinchen Li
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China.,Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China
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48
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Han W, Miao C, Zhang X, Lin Y, Hao X, Huang Z, Weng S, Lin X, Guo X, Huang J. A signal-off fluorescent strategy for deferasirox effective detection using carbon dots as probe and Cu 2+ as medium. Anal Chim Acta 2021; 1179:338853. [PMID: 34535261 DOI: 10.1016/j.aca.2021.338853] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/11/2021] [Accepted: 07/12/2021] [Indexed: 02/06/2023]
Abstract
The content of deferasirox (DEF) in plasma is significant in β-thalassemia patient that needs long-term transfusion therapy, while the effective and simple strategy for DEF monitoring is still limited. The carbon dots (CDs) prepared from citric acid monohydrate and glutathione exhibit weakly modulated fluorescence intensity to several common metal ions containing Cu2+. Interestingly, the process of interaction of Cu2+ and DEF forms the chelation of Cu2+ and DEF (Cu-DEF) with the absorbance wavelength of DEF at 320 nm shifting to 332 nm for Cu-DEF. And the obtained Cu-DEF will effectively quench CDs through inner filter effect (IFE). Accordingly, a facile signal-off fluorescent method based on CDs as probe is developed for DEF detection using Cu2+ as medium. And the proposed method exhibits linear range of 0.5-20 μg/mL with the detection limit of 0.33 μg/mL for DEF under the optimized conditions. Moreover, the developed assay is further expanded to test the content of DEF in dispersible tablet and plasma with accuracy and reproducibility. Such cost-effective and sensitive fluorescent assay just through simple mixing operation present a valuable strategy for drug monitoring.
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Affiliation(s)
- Wendi Han
- Department of Pharmacy, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, PR China
| | - Chenfang Miao
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China
| | - Xintian Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China
| | - Yinning Lin
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China
| | - Xiaoli Hao
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China
| | - Zhengjun Huang
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China; Nano Medical Technology Research Institute, Fujian Medical University, Fuzhou, 350122, China
| | - Shaohuang Weng
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China.
| | - Xinhua Lin
- Department of Pharmaceutical Analysis, School of Pharmacy, The Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Fujian Medical University, Fuzhou, 350122, China; Nano Medical Technology Research Institute, Fujian Medical University, Fuzhou, 350122, China
| | - Xianzhong Guo
- Department of Pharmacy, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, PR China
| | - Jianyong Huang
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
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49
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Wang L, Chen W, Ma H, Li J, Hao X, Wu Y. Identification of RNA silencing suppressor encoded by wheat blue dwarf (WBD) phytoplasma. Plant Biol (Stuttg) 2021; 23:843-849. [PMID: 33749977 DOI: 10.1111/plb.13257] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/14/2021] [Indexed: 06/12/2023]
Abstract
Plants possess an innate immune system for defence against pathogens. In turn, pathogens have various strategies to overcome complex plant defences. Among diverse pathogens, phytoplasmas are associated with serious diseases in a range of species. RNA silencing serves as an efficient defence system against pathogens in eukaryotes but can be interrupted by RNA silencing suppressors (RSSs) encoded by pathogens. Currently, many RSSs have been identified in viruses, bacteria, oomycetes and fungi. Phytoplasmas are pathogens in several hundred plant species. In this research, 37 candidate effectors of wheat blue dwarf (WBD) phytoplasma were screened for presence of RSS. Agro-infiltration assay, yeast expression system, floral-dip method for constructing transgenic A. thaliana, Western blotting and RT-qPCR were used for identification of RNA silencing suppressors. SWP16 encoded by WBD phytoplasma was found to be a secretory protein that inhibited accumulation of GFP siRNA and led to the accumulation of GPF mRNA in systemic N. benthamiana 16c. Furthermore, in A. thaliana SWP16 inhibited production of miRNAs, which are components of RNA silencing. SWP16 also promoted infection of potato virus X. We conclude that SWP16 encoded by WBD phytoplasma was an RSS, suppressing systemic RNA silencing. This is the first evidence that a phytoplasma encodes an RSS and provides a theoretical basis for research on the interaction mechanisms between pathogens and plants.
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Affiliation(s)
- L Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, P. R. China
| | - W Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, P. R. China
| | - H Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, P. R. China
| | - J Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, P. R. China
| | - X Hao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, P. R. China
| | - Y Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, P. R. China
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50
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He D, Gu J, Gu M, Wu H, Li J, Zhan T, Chen Y, Xu N, Ge Z, Wang G, Hao X, Wang X, Hu J, Hu Z, Hu S, Liu X, Liu X. Genetic and antigenic diversity of H7N9 highly pathogenic avian influenza virus in China. Infect Genet Evol 2021; 93:104993. [PMID: 34242774 DOI: 10.1016/j.meegid.2021.104993] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/01/2021] [Accepted: 07/04/2021] [Indexed: 01/10/2023]
Abstract
Avian influenza virus (AIV) H7N9 that emerged in 2013 in eastern China is a novel zoonotic agent mainly circulating in poultry without clinical signs but causing severe disease with high fatality in humans in more than 5 waves. Since the emergence of highly pathogenic (HP) H7N9 variants in 2016, it has induced heavy losses in the poultry industry leading to the implementation of an intensive nationwide vaccination program at the end of wave 5 (September 2017). To characterize the ongoing evolution of H7N9 AIV, we conducted analyses of H7N9 glycoprotein genes obtained from 2013 to 2019. Bayesian analyses revealed a decreasing population size of HP H7N9 variants post wave 5. Phylogenetic topologies revealed that two novel small subclades were formed and carried several fixed amino acid mutations that were along HA and NA phylogenetic trees since wave 5. Some of the mutations were located at antigenic sites or receptor binding sites. The antigenic analysis may reveal a significant antigenic drift evaluated by hemagglutinin inhibition (HI) assay and the antigenicity of H7N9 AIV might evolute in large leaps in wave 7. Molecular simulations found that the mutations (V135T, S145P, and L226Q) around the HA receptor pocket increased the affinity to α2,3-linked sialic acid (SIA) while decreased to α2,6-linked SIA. Altered affinity may suggest that HP H7N9 variations aggravate the pathogenicity to poultry but lessen the threat to public health. Selection analyses showed that the HP H7N9 AIV experienced an increasing selection pressure since wave 5, and the national implementation of vaccination might intensify the role of natural selection during the evolution waves 6 and 7. In summary, our data provide important insights about the genetic and antigenic diversity of circulating HP H7N9 viruses from 2017 to 2019. Enhanced surveillance is urgently warranted to understand the current situation of HP H7N9 AIV.
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Affiliation(s)
- Dongchang He
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Jinyuan Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Huiguang Wu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Juan Li
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University, Shandong Academy of Medical Sciences, Tai'an 271000, China
| | - Tiansong Zhan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Yu Chen
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Naiqing Xu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Zhichuang Ge
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Guoqing Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Jiao Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Zenglei Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
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