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Gu SJ, Wen JL, Wang XY, Zhang LX, Li W, Qi X. [Progress in the diagnose and treatment of pulmonary arterial thrombosis in situ]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:464-469. [PMID: 38706070 DOI: 10.3760/cma.j.cn112147-20230926-00198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
In situ pulmonary arterial thrombosis (ISPAT) refers to the formation of new blood clots in the pulmonary arterial system in the absence of pre-existing clots in the peripheral venous system. With the emergence and prevalence of COVID-19, ISPAT has become an increasingly important cause of pulmonary arterial thrombosis (PAT) alongside thromboembolism. Several factors such as hypoxia, inflammation, endothelial dysfunction, and hypercoagulable state can lead to ISPAT, which is associated with a number of conditions such as thoracic trauma, partial lung resection, pulmonary infectious disease, pulmonary vasculitis, connective tissue diseases, severe pulmonary hypertension, radiation pneumonitis, and acute chest syndrome in sickle cell disease. It is important to differentiate between pulmonary thromboembolism (PTE) and ISPAT for proper disease management and prognosis. In this review, we summarized the characteristics of ISPAT under different disease conditions, the methods to distinguish ISPAT from PTE, and the best treatment strategies. We hoped that this review could improve clinicians' understanding of this independent disease and provide guidance for the refined treatment of patients with PAT.
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Affiliation(s)
- S J Gu
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J L Wen
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - X Y Wang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - L X Zhang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - W Li
- Department of Respiratory and Critical Care Medicine, People's Hospital of Lishui, Lishui 211299, China
| | - X Qi
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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2
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Liang J, Ul Hassan I, Yee Cheung M, Feng L, Lin YJ, Long Q, Wang C, Ding Y, Wang Z, Zhang Y, Li Y, Guo D, Guo X, Chi Bun Wong T, Kaleem Samma M, Rong Z, Qi X, Cai D, Ngai SM, Zhao H. Mechanistic study of transcription factor Sox18 during heart development. Gen Comp Endocrinol 2024; 350:114472. [PMID: 38373462 DOI: 10.1016/j.ygcen.2024.114472] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/18/2024] [Accepted: 02/12/2024] [Indexed: 02/21/2024]
Abstract
Heart development is a delicate and complex process regulated by coordination of various signaling pathways. In this study, we investigated the role of sox18 in heart development by modulating Wnt/β-Catenin signaling pathways. Our spatiotemporal expression analysis revealed that sox18 is mainly expressed in the heart, branchial arch, pharyngeal arch, spinal cord, and intersegmental vessels at the tailbud stage of Xenopus tropicalis embryo. Overexpression of sox18 in the X. tropicalis embryos causes heart edema, while loss-of-function of sox18 can change the signal of developmental heart marker gata4 at different stages, suggesting that sox18 plays an essential role in the development of the heart. Knockdown of SOX18 in human umbilical vein endothelial cells suggests a link between Sox18 and β-CATENIN, a key regulator of the Wnt signaling pathway. Sox18 negatively regulates islet1 and tbx3, the downstream factors of Wnt/β-Catenin signaling, during the linear heart tube formation and the heart looping stage. Taken together, our findings highlight the crucial role of Sox18 in the development of the heart via inhibiting Wnt/β-Catenin signaling.
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Affiliation(s)
- Jianxin Liang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Imtiaz Ul Hassan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Man Yee Cheung
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Lei Feng
- School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China; Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Yi-Jyun Lin
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Qi Long
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Chengdong Wang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Yuyue Ding
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Ziqing Wang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Yuan Zhang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Yulong Li
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Donghao Guo
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiaofang Guo
- School of Life Sciences, Jinan University, Guangzhou, China
| | - Thomas Chi Bun Wong
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Muhammad Kaleem Samma
- Department of Biology and Chemistry, City University of Hong Kong, Hong Kong SAR, China
| | - Zixin Rong
- Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), KTH Royal Institute of Technology, Stockholm 10691, Sweden
| | - Xufeng Qi
- School of Life Sciences, Jinan University, Guangzhou, China
| | - Dongqing Cai
- School of Life Sciences, Jinan University, Guangzhou, China
| | - Sai-Ming Ngai
- School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
| | - Hui Zhao
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.
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Chen HD, Lu B, Zheng Y, Du P, Qi X, Zhang K, Liu YY, Wei JL, Wei DH, Gong JY, Huang YC, Song ZY, Chu X, Dong D, Zheng WJ, Dai M. [Interpretation of specification for service of cancer screening for workers]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:486-489. [PMID: 38678342 DOI: 10.3760/cma.j.cn112338-20240311-00114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
As the backbone force of China's social and economic construction, the health status of workers is closely related to the nation's productivity and social development. Currently, cancers have become one of the major diseases threatening the health of workers. However, there are still many shortcomings in the cancer screening services for the workers. To standardize cancer screening services for workers, ensure the quality of screening services, and improve the overall screening effectiveness, 19 institutions, including Peking Union Medical College Hospital of the Chinese Academy of Medical Sciences, have jointly formulated the Group Standard "Specification for service of cancer screening for workers (T/CHAA 023-2023)". This standard follows the principles of "legality, scientific rigor, advancement, and feasibility" and combines the frontier scientific advances in cancer screening. It clarifies the relevant requirements for service principles, service design, service delivery, service management, service evaluation, and improving worker cancer screening. Implementing this group standard will help connect the common screening needs of workers, employers, and cancer screening service providers, standardize the screening process, improve screening quality, and ultimately increase the early diagnosis rate and survival rate of cancer patients. Consequently, this group standard will help safeguard workers' health rights and interests, ensure the labor force resources, promote the comprehensive coordinated and sustainable development of society, and contribute to realizing the "Healthy China 2030" strategic policy.
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Affiliation(s)
- H D Chen
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - B Lu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Zheng
- Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - P Du
- Beijing Cancer Hospital, Beijing 100142, China
| | - X Qi
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - K Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Y Liu
- Cancer Prevention Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - J L Wei
- Henan Cancer Hospital, Zhengzhou 450003, China
| | - D H Wei
- Anhui Cancer Hospital, Hefei 230071, China
| | - J Y Gong
- Department of Preventive Management, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Y C Huang
- Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Kunming 650106, China
| | - Z Y Song
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310009, China
| | - X Chu
- Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - D Dong
- Xuzhou Cancer Hospital, Xuzhou 221005, China
| | - W J Zheng
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M Dai
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Qi X, Bertling K, Torniainen J, Kong F, Gillespie T, Primiero C, Stark MS, Dean P, Indjin D, Li LH, Linfield EH, Davies AG, Brünig M, Mills T, Rosendahl C, Soyer HP, Rakić AD. Terahertz in vivo imaging of human skin: Toward detection of abnormal skin pathologies. APL Bioeng 2024; 8:016117. [PMID: 38476403 PMCID: PMC10932572 DOI: 10.1063/5.0190573] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
Terahertz (THz) imaging has long held promise for skin cancer detection but has been hampered by the lack of practical technological implementation. In this article, we introduce a technique for discriminating several skin pathologies using a coherent THz confocal system based on a THz quantum cascade laser. High resolution in vivo THz images (with diffraction limited to the order of 100 μm) of several different lesion types were acquired and compared against one another using the amplitude and phase values. Our system successfully separated pathologies using a combination of phase and amplitude information and their respective surface textures. The large scan field (50 × 40 mm) of the system allows macroscopic visualization of several skin lesions in a single frame. Utilizing THz imaging for dermatological assessment of skin lesions offers substantial additional diagnostic value for clinicians. THz images contain information complementary to the information contained in the conventional digital images.
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Affiliation(s)
- X. Qi
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane QLD 4072, Australia
| | - K. Bertling
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane QLD 4072, Australia
| | - J. Torniainen
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane QLD 4072, Australia
| | - F. Kong
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Woolloongabba QLD 4102, Australia
| | - T. Gillespie
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane QLD 4072, Australia
| | - C. Primiero
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Woolloongabba QLD 4102, Australia
| | - M. S. Stark
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Woolloongabba QLD 4102, Australia
| | - P. Dean
- School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - D. Indjin
- School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - L. H. Li
- School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - E. H. Linfield
- School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - A. G. Davies
- School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - M. Brünig
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane QLD 4072, Australia
| | - T. Mills
- OscillaDx Pty Ltd, Brisbane, Queensland, Australia
| | - C. Rosendahl
- General Practice Clinical Unit, Faculty of Medicinee, The University of Queensland, Herston QLD 4029, Australia
| | - H. P. Soyer
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Woolloongabba QLD 4102, Australia
| | - A. D. Rakić
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane QLD 4072, Australia
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Tan Y, Wang L, Qi X, Luo H. Neurosonographic evaluation of corpus callosum-fastigium and tectal length in late-onset small fetuses. Ultrasound Obstet Gynecol 2024; 63:430-431. [PMID: 38340000 DOI: 10.1002/uog.27600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/22/2023] [Indexed: 02/12/2024]
Abstract
Linked article: This Correspondence comments on Lip‐Sosa et al. Click here to view the article.
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Affiliation(s)
- Y Tan
- Department of Ultrasonography, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - L Wang
- Department of Ultrasonography, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - X Qi
- Department of Ultrasonography, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - H Luo
- Department of Ultrasonography, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
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Chen C, Wang ML, Li WX, Qi X, Li Q, Chen L. Hepatitis E virus infection increases the risk of obstetric complications and perinatal adverse outcomes in pregnant women with chronic hepatitis B virus infection. Eur Rev Med Pharmacol Sci 2024; 28:1904-1912. [PMID: 38497873 DOI: 10.26355/eurrev_202403_35604] [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: 03/19/2024]
Abstract
OBJECTIVE Hepatitis E virus (HEV) infection may occur in pregnant women who had chronic hepatitis B virus (HBV) infection. This study aimed to evaluate whether HEV-HBV co-infection increases the risk of obstetric complications and perinatal adverse outcomes in pregnant women. PATIENTS AND METHODS We investigated the clinical data of 3,251 pregnant women with chronic HBV infection. The obstetric complications and perinatal adverse outcomes were compared between patients with HEV-HBV co-infection and patients who had pure chronic HBV infection. RESULTS Of the 3,251 pregnant women with chronic HBV infection, 98 patients (3%) had HEV-HBV co-infection. Compared with healthy controls, there is an increased risk of obstetric complications in pregnant women with pure HEV infection [odds ratio (OR)= 3.99, p < 0.001], pure chronic HBV infection (OR = 2.76, p < 0.001), and HEV-HBV co-infection (OR = 5.41,p < 0.001). The rate of obstetric complications and perinatal adverse outcomes is significantly higher in pregnant women with HEV-HBV co-infection compared with those with pure chronic HBV infection or those with pure HEV infection (all p< 0.05). The HEV-HBV co-infection is the most significant risk factor for perinatal adverse outcomes (OR = 15.47, p < 0.001), followed by pure HEV infection (OR = 10.22, p < 0.001), and pure HBV infection (OR = 5.82, p < 0.001). CONCLUSIONS HEV infection increases the risk of obstetric complications and perinatal adverse outcomes in pregnant women with chronic HBV infection.
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Affiliation(s)
- C Chen
- Department of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
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Wang C, Liu Z, Zeng Y, Zhou L, Long Q, Hassan IU, Zhang Y, Qi X, Cai D, Mao B, Lu G, Sun J, Yao Y, Deng Y, Zhao Q, Feng B, Zhou Q, Chan WY, Zhao H. ZSWIM4 regulates embryonic patterning and BMP signaling by promoting nuclear Smad1 degradation. EMBO Rep 2024; 25:646-671. [PMID: 38177922 PMCID: PMC10897318 DOI: 10.1038/s44319-023-00046-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 01/06/2024] Open
Abstract
The dorsoventral gradient of BMP signaling plays an essential role in embryonic patterning. Zinc Finger SWIM-Type Containing 4 (zswim4) is expressed in the Spemann-Mangold organizer at the onset of Xenopus gastrulation and is then enriched in the developing neuroectoderm at the mid-gastrula stages. Knockdown or knockout of zswim4 causes ventralization. Overexpression of zswim4 decreases, whereas knockdown of zswim4 increases the expression levels of ventrolateral mesoderm marker genes. Mechanistically, ZSWIM4 attenuates the BMP signal by reducing the protein stability of SMAD1 in the nucleus. Stable isotope labeling by amino acids in cell culture (SILAC) identifies Elongin B (ELOB) and Elongin C (ELOC) as the interaction partners of ZSWIM4. Accordingly, ZSWIM4 forms a complex with the Cul2-RING ubiquitin ligase and ELOB and ELOC, promoting the ubiquitination and degradation of SMAD1 in the nucleus. Our study identifies a novel mechanism that restricts BMP signaling in the nucleus.
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Affiliation(s)
- Chengdong Wang
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ziran Liu
- Qingdao Municipal Center for Disease Control and Prevention, 266033, Qingdao, Shandong, China
| | - Yelin Zeng
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Liangji Zhou
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qi Long
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Imtiaz Ul Hassan
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuanliang Zhang
- State Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine of Ministry of Education, Department of Developmental & Regenerative Biology, Jinan University, 510632, Guangzhou, Guangdong, China
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine of Ministry of Education, Department of Developmental & Regenerative Biology, Jinan University, 510632, Guangzhou, Guangdong, China
| | - Bingyu Mao
- Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China
- Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Chinese Academy of Sciences, Kunming, China
| | - Gang Lu
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jianmin Sun
- Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Ningxia Medical University, No. 1160 Shengli Street, 750004, Yinchuan, China
| | - Yonggang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China
- Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Chinese Academy of Sciences, Kunming, China
| | - Yi Deng
- Department of Biology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, and Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, 518055, Shenzhen, China
| | - Qian Zhao
- State Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Bo Feng
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qin Zhou
- School of Basic Medical Sciences, Harbin Medical University, 150081, Harbin, China
| | - Wai Yee Chan
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research of Common Diseases, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Branch of CAS Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hui Zhao
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research of Common Diseases, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Hong Kong Branch of CAS Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Qi X, Wu B. AI's Role in Improving Social Connection and Oral Health for Older Adults: A Synergistic Approach. JDR Clin Trans Res 2024:23800844231223097. [PMID: 38284287 DOI: 10.1177/23800844231223097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2024] Open
Abstract
KNOWLEDGE TRANSFER STATEMENT This study explored how artificial intelligence (AI) can revolutionize geriatric care by improving oral health and alleviating social disconnection among isolated older adults. The findings can guide clinicians in integrating AI tools into practices, assist policymakers in developing AI-inclusive health policies, and inform patients about the potential benefits of AI in enhancing their health outcomes and social connection.
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Affiliation(s)
- X Qi
- Rory Meyers College of Nursing, New York University, New York, NY, USA
| | - B Wu
- Rory Meyers College of Nursing, New York University, New York, NY, USA
- Aging Incubator, New York University, New York, NY, USA
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Yang W, Wang J, Guo J, Dove A, Qi X, Bennett DA, Xu W. Association of Cognitive Reserve Indicator with Cognitive Decline and Structural Brain Differences in Middle and Older Age: Findings from the UK Biobank. J Prev Alzheimers Dis 2024; 11:739-748. [PMID: 38706290 PMCID: PMC11061039 DOI: 10.14283/jpad.2024.54] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/03/2023] [Indexed: 05/07/2024]
Abstract
BACKGROUND Cognitive reserve (CR) contributes to preserving cognition when facing brain aging and damage. CR has been linked to dementia risk in late life. However, the association between CR and cognitive changes and brain imaging measures, especially in midlife, is unclear. OBJECTIVE We aimed to explore the association of CR with cognitive decline and structural brain differences in middle and older age. DESIGN This longitudinal study was from the UK Biobank project where participants completed baseline surveys between 2006 to 2010 and were followed (mean follow-up: 9 years). SETTING A population-based study. PARTICIPANTS A total of 42,301 dementia-free participants aged 40-70 were followed-up to detect cognitive changes. A subsample (n=34,041) underwent brain magnetic resonance imaging scans. MEASUREMENTS We used latent class analysis to generate a CR indicator (categorized as high, moderate, and low) based on education, occupation, and multiple cognitively stimulating activities. Cognitive tests for global and domain-specific cognition were administrated at baseline and follow-up. Total brain, white matter, grey matter, hippocampal, and white matter hyperintensity volumes (TBV, WMV, GMV, HV, and WMHV) were assessed at the follow-up examination. Data were analyzed using mixed-effects models and analysis of covariance. RESULTS At baseline, 16,032 (37.9%), 10,709 (25.3%), and 15,560 (36.8%) participants had low, moderate, and high levels of CR, respectively. Compared with low CR, high CR was associated with slower declines in global cognition (β [95% confidence interval]: 0.10 [0.08, 0.11]), prospective memory (0.10 [0.06, 0.15]), fluid intelligence (0.07 [0.04, 0.10]), and reaction time (0.04 [0.02, 0.06]). Participants with high CR had lower TBV, WMV, GMV, and WMHV, but higher HV when controlling for global cognition (corrected P <0.01 for all). The significant relationships between CR and cognition and TBV were present among both middle-aged (<60 years) and older (≥60 years) participants. The CR-cognition association remained significant despite reductions in brain structural properties. CONCLUSIONS Higher CR is associated with slower cognitive decline, higher HV, and lower microvascular burden, especially in middle age. Individuals with high CR could tolerate smaller brain volumes while maintaining cognition. The benefit of CR for cognition is independent of structural brain differences. Our findings highlight the contribution of enhancing CR to helping compensate for neuroimaging alterations and ultimately prevent cognitive decline.
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Affiliation(s)
- W Yang
- Weili Xu, MD, PhD, Dept. of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, P.R. China; Aging Research Center, Karolinska Institutet, Tomtebodavägen 18A Floor 10, SE-171 65 Solna, Stockholm, Sweden. Phone: +46 8 524 858 26; ; Xiuying Qi, PhD, Dept. of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, P.R. China.
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10
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Zhong L, Fu T, Wang C, Qi X, Chan WY, Cai D, Zhao H. Developmental expression of peroxiredoxin gene family in early embryonic development of Xenopus tropicalis. Gene Expr Patterns 2023; 50:119345. [PMID: 37844856 DOI: 10.1016/j.gep.2023.119345] [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: 06/20/2023] [Revised: 10/10/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
Peroxidase genes (Prdx) encode a family of antioxidant proteins, which can protect cells from oxidative damage by reducing various cellular peroxides. This study investigated the spatiotemporal expression patterns of gene members in this family during the early development of Xenopus tropicalis. Real-time quantitative PCR showed that all members of this gene family have a distinct temporal expression pattern during the early development of X. tropicalis embryos. Additionally, whole mount in situ hybridization revealed that individual prdx genes display differential expression patterns, with overlapping expression in lymphatic vessels, pronephros, proximal tubule, and branchial arches. This study provides a basis for further study of the function of the prdx gene family.
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Affiliation(s)
- Linke Zhong
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou 510632, People's Republic of China; Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China; International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou 510632, Guangdong, China; Department of Developmental and Regenerative Biology, Jinan University, Guangzhou 510632, China
| | - Tingting Fu
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou 510632, People's Republic of China; Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China; International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou 510632, Guangdong, China; Department of Developmental and Regenerative Biology, Jinan University, Guangzhou 510632, China
| | - Chengdong Wang
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou 510632, People's Republic of China; Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China; International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou 510632, Guangdong, China; Department of Developmental and Regenerative Biology, Jinan University, Guangzhou 510632, China
| | - Wai-Yee Chan
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou 510632, People's Republic of China; Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China; International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou 510632, Guangdong, China; Department of Developmental and Regenerative Biology, Jinan University, Guangzhou 510632, China.
| | - Hui Zhao
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou 510632, China.
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Zheng WJ, Qi X, Yao HY, Liu JJ, Yu SC. [Analysis on the current situation and influencing factors of residents' satisfaction with the built environment of China's Hygienic City Initiative]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1820-1826. [PMID: 38008572 DOI: 10.3760/cma.j.cn112150-20221113-01104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/28/2023]
Abstract
Objective: To understand the current situation and the main influencing factors of residents' satisfaction with the built environment of China's Hygienic City Initiative. Methods: From the list of China's hygienic cities (excluding county-level cities), 61 cities were randomly selected in equal proportion and the eligible respondents were randomly selected by using the "Questionnaire Star" network platform to carry out the online questionnaire survey. A self-made satisfaction evaluation scale was used to investigate the satisfaction of the included respondents with the urban built environment and search for relevant data on the city level. The two-level multi-factor mixed effect model was constructed to analyze the influencing factors of residents' satisfaction with the built environment of China's Hygienic City Initiative. Results: The age range of 2 465 respondents was mainly between 18 and 40 years old (79.9%), with males being the main group (45.8%). The total score of residents' satisfaction with the built environment of China's hygienic cities was (69.14±13.24) points. Based on four standardized dimensions of sense of gain, the result showed that the satisfaction of urban governance had the highest score (65.08 points), followed by urban environmental sanitation (63.68 points), urban lifestyle (59.97 points) and urban basic function (59.02 points). The analysis results of the two-level multi-factor mixed effect model showed that compared with residents with an annual average concentration of inhalable fine particles in the environment>48 micrograms/cubic meter, residents with an average concentration between 38 and 48 micrograms/cubic meter [β (95%CI): 1.65 (0.08, 3.21)] and≤37 micrograms/cubic meter or less [β (95%CI): 1.98 (0.53, 3.43)] had higher satisfaction. Compared with residents whose proportion of the secondary industry to GDP was≤40.9%, residents in cities with a larger proportion had a lower satisfaction level [residents with a proportion of 40.9%-48.03%, β (95%CI):-2.21 (-3.93, -0.49); residents with a proportion greater than 48.03%, β (95%CI):-2.58 (-4.58, -0.59)]. Compared with residents with a junior high school or lower education level, residents with a higher education level had a lower satisfaction level [β (95%CI):-2.37 (-4.57, -0.17)]. Residents of universities and above [β (95%CI):-3.82 (-6.05, -1.60)], regularly participate in physical exercise [β (95%CI): 5.78 (4.71, 6.84)] and self-rated good health status [β (95%CI): 6.39 (5.33, 7.45)] had a higher satisfaction level. Conclusion: The satisfaction of residents with the built environment of China's hygienic cities is still acceptable. Satisfaction is related to individual characteristics such as residents' cultural level, type of residence, frequent participation in physical exercise, and self-rated good health status, as well as urban-level factors such as green coverage rate in built-up areas, annual average concentration of inhalable fine particles, and the proportion of GDP in the secondary industry.
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Affiliation(s)
- W J Zheng
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Qi
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Y Yao
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J J Liu
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S C Yu
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Liu X, Li ZR, Qi X, Zhou Q. Objective Boundary Generation for Gross Target Volume and Organs at Risk Using 3D Multi-Modal Medical Images. Int J Radiat Oncol Biol Phys 2023; 117:e476. [PMID: 37785510 DOI: 10.1016/j.ijrobp.2023.06.1689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate delineation of Gross Target Volume (GTV) and Organs at Risk (OARs) in medical images is an essential but challenging step in radiotherapy. Deep-learning based automated delineation methods, which learn from manual annotations, are currently prevalent in academic research. However, the limited resolution of medical images and the fuzzy boundaries of lesions and organs present a challenge to the precision of manual annotations. By leveraging the complementary information from multi-modal medical images, this study proposed a novel method to generate objective boundaries of GTV and OARs. MATERIALS/METHODS We present a novel method of objective boundary generation, inspired by image matting primarily used for 2D RGB natural images, to process 3D grayscale medical images. The proposed method has the following advantages. 1) It allows for flexible input modalities and assigns weights to each modality according to their relative significance when computing information flows in the matting algorithm. 2) It computes 3D spatial information flow among voxels, which has more advantages over its 2D counterpart. 3) It has a closed-form solution that generates deterministic results. To evaluate the characteristics of the generated boundaries, patients with stage I nasopharyngeal carcinoma (NPC) were studied, with CT images and multi-modal MR images (T1, T1C, T2) aligned using deformable registration. Region of Interests (ROIs), i.e., GTV and parotid gland, were used, with a rough trimap marking extremely few foreground voxels, many background voxels, and a large unknown region. The proposed algorithm leverages the connection between each voxel and its nearest neighbors in the feature space, to propagate the opacity information. RESULTS We evaluated the results by employing both qualitative and quantitative methods. Using qualitative evaluation, experienced clinicians confirmed that the results were in agreement with the input data, especially for areas where borders were visible in most modalities (e.g., between air and tumor). For more challenging regions, where boundaries were unclear in the images, the results displayed fine-grained opacity transitions indicating the confidence of each voxel belonging to the ROI. When compared to the delineations made by clinicians, we found our results are usually more compact. We define a precision metric that evaluates the ratio of the matted foreground inside clinicians' delineations versus the entire matted foreground. Using a threshold of 0.4, our binarized result scored 0.95 for GTV and 0.92 for parotid gland. CONCLUSION The proposed method demonstrated satisfactory results on challenging ROIs. The objective boundaries generated by this method have advantages in many aspects, including improvement of delineation protocols, enhancement of manual annotation consistency, and increase of deep-learning based automated delineation accuracy.
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Affiliation(s)
- X Liu
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
| | - Z R Li
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
| | - Q Zhou
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
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Dinh L, Savjani RR, Lauria M, Valle L, Hegde JV, Chin RK, Qi X. Potential Dosimetric Predictors of Patient-Reported Quality of Life for Head and Neck Cancer Following Chemoradiation IMRT. Int J Radiat Oncol Biol Phys 2023; 117:e660-e661. [PMID: 37785957 DOI: 10.1016/j.ijrobp.2023.06.2096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study aims to identify both acute and late patient patient-reported salivary quality of life outcomes in patients with head and neck cancer treated with chemoradiation therapy on a prospective trial. MATERIALS/METHODS A cohort of 40 patients with head and neck cancers were included in the study. All patients underwent concurrent chemoradiation therapy using IMRT delivery (1 patient on one Linac, 24 patients on a different Linac, and 15 on a helical delivery machine). All patients were asked to complete the University of Washington Quality of Life (UOW-QOL) questionnaire at baseline, immediately after treatment, as well as at 1 month, 3 months, 6 months, 12 month and 18 months post-treatment. For the salivary quality of life (QOL) outcome scores, the possible responses were scored on a discreet scale of 100, 70, 30, and 0, with 100 as normal and 0 as dysfunctional. Dosimetric endpoints achieved based on the treatment plan, such as maximum/mean/minimum doses, V30 (percent volume receiving 30 Gy dose), and Dy (dose received to y percent volume) were collected for the bilateral salivary glands, bilateral temporomandibular joint and bilateral submandibular glands. The associations between these dosimetric parameters and the corresponding salivary QOL scores at each time point were analyzed. A Wilcoxon test was performed to identify any differences in the dosimetry and salivary QOL scores among the four different responses. RESULTS At short-term follow-up including 1- and 6-month, the distribution of the mean dose received by the right parotid was significantly different between the patients that reported a salivary QOL score of 30 and those that reported 100, with p-values of 0.007 for the 1-month comparison and 0.006 for the 6-month comparison. This was also seen for the V30, with p-values of 0.027 for the 1-month comparison and 0.013 for the 6-month comparison. At 3 months, the maximum dose received by the left temporomandibular joint was significantly different between the patients that reported 30 and those that reported 70, with a p-value of 0.038. At 6 months, the average dose distribution of the right submandibular gland received between the patients that reported a score of 30 and 100 was also significantly different, with a p-value of 0.006. At the long-term follow-up time points of 12 and 18 months, no significant differences were found. CONCLUSION The significant differences seen in the data suggest that the dosimetry may have effects on patient reported salivary QOL at short-term follow-up but not long-term. This provides a new perspective into how a patient's QOL over a period of time could be affected by the amount of dose to critical organs. These results also serve as the basis for further investigation into the actual delivered dose, which could differ from the planned dose due to daily anatomic changes over the course of head and neck radiotherapy delivery. These daily volumetric and dosimetric changes may guide early adaptive treatment to improve patient-reported QOL outcomes.
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Affiliation(s)
| | - R R Savjani
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | | | - L Valle
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | - J V Hegde
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | - R K Chin
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | - X Qi
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
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Kong L, Li Z, Liu Y, Zhang J, Chen M, Zhou Q, Qi X, Deng XW, Peng Y. A Generalized Deep Learning Method for Synthetic CT Generation. Int J Radiat Oncol Biol Phys 2023; 117:e472. [PMID: 37785502 DOI: 10.1016/j.ijrobp.2023.06.1681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The application of deep learning to generate synthetic CT (sCT) has been widely studied in radiotherapy. Existing methods generally involve data from two different image modalities, such as CBCT-CT or MRI-CT, the quality of sCT is adversely affected by source image quality. We propose a unique method of synthesizing MRI and CBCT into sCT based on single-modal CT for training, and call it SmGAN. MATERIALS/METHODS We used planning CT of a group of 35 head and neck cases to as training data. We then applied two different spatial transformations to the planning CT image to produce the transformed CT1 and CT2. And We used a random style enhancement technique (Shuffle Remap) to modify the image distribution of CT1 which we termed CT1+E. CT1+E was used to simulate the patient's "image of the day" while CT2 to simulate the "planning image". After feeding both CT1+E and CT2 into the generator, we obtained the sCT predicted by the generator. The generator was trained using the Mean Absolute Error (MAE) loss between sCT and CT1. In the actual clinical process, we use the patient's CBCT or MRI instead of CT1+E and the patient's planning CT instead of CT2 as the input of the generator. After processing, we get an sCT that can maintain the spatial position of the image taken on the day, while presenting features similar to the planning CT. The evaluation data we have includes 10 pairs of MRI-Def_CT and 10 pairs of CBCT-Def_CT Head and Neck patients. Def_CT is obtained from the planning CT based on the spatial position deformation of MRI and CBCT. To evaluate the accuracy of sCT based on MRI and CBCT with Def CT, we use a range of metrics, including Hounsfield Unit (HU) difference, peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and gamma pass rate. All results will be benchmarks against the advanced method RegGAN for comparison. RESULTS Compared to RegGAN, the results of SmGAN were significantly better. The mean absolute errors within the body were (44.7±216.2 HU vs. 36.7±131.4 HU) and (64.9±123.7 HU vs. 58.2±152.8 HU) for the CBCT-SCT and MRI-SCT, respectively (Table 1). In addition, experimental results show that SmGAN also outperforms RegGAN in dose calculation accuracy. For example, under the 10% threshold, SmGAN's gamma pass rate of 1mm and 1% is 0.926±0.02, compared with gamma rate of 0.896±0.02 for RegGAN. CONCLUSION We proposed a generalized deep learning model for synthetic CT generation, based on CBCT or MRI images. The proposed algorithm achieved high accuracy of dosimetric metrics, as well as excellent IMRT QA verification results. Compared to other existing synthetic CT generation methods, the proposed SmGAN required a single-modal image for training, which is considered as a major breakthrough in the industry, and is expected to have wide spread of clinical applications.
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Affiliation(s)
- L Kong
- Manteia Technologies Co., Ltd, Xiamen, 361001, People's Republic of China, Xiamen, Fujian, China
| | - Z Li
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Y Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - M Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Q Zhou
- Manteia Technologies Co., Ltd., Xiamen, China
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
| | - X W Deng
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Y Peng
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
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Pan X, Feng T, Liu J, Liu C, Qi X. An Adaptive Multi-Feature Fusion Network for Predicting Overall Survival of Patients with Head and Neck Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e611-e612. [PMID: 37785840 DOI: 10.1016/j.ijrobp.2023.06.1986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate prognostic prediction could allow personalized treatment to achieve optimal clinical outcome. We aimed to develop a highly predictive overall survival model, considering the complementary relationships between clinical information, traditional radiomics and deep image information, to further improve the overall prediction accuracy by constructing a richer feature set and adaptive weighting. MATERIALS/METHODS A total of 427 patients with Oropharyngeal Cancer (OPC) patients from the TCIA database were included. 341 cases were used for training, 86 cases were used as an independent cohort. Patient characteristics, including TMN, age, gender, HPV status, smoking or drinking status, etc. were considered as potential predictors. Traditional radiomics features of gross tumor volume (GTV) was extracted from planning CT using open-source software. In addition, a two-dimensional convolutional network (2D_CNN) was designed to extract deep image features. An adaptive multi-feature fusion network was developed to predict overall survival of patients based on three types of features. The fusion network integrates an attention mechanism to the channel dimension to obtain proper weighting of each channel in the feature graph through the fully connected network by focusing on effective feature channels and automatic learning according to the loss, thus improving the utilization rate of effective features. The model performance was evaluated using the area-under-ROC-curve (AUC), accuracy, precision, recall, f1-score. RESULTS The AUCs of predictive models based on clinical features, traditional radiomics features and deep image features were 0.7, 0.61 and 0.72, respectively. Combining patient characteristics, radiomic features and deep imaging features, the AUCs of the prediction models was significantly improved to 0.85 and 0.86 (with attention mechanisms) for the independent test cohort (Table 1). CONCLUSION The proposed adaptive multi-channel network assigned effective weights to the potential predictors, selectively enhanced useful features while suppressed irrelevant features, enabling more accurate feature map weights. We demonstrated the improved predictive value, with a multi-channel fusion network integrated with an attention mechanism, for overall survival of OPC patients.
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Affiliation(s)
- X Pan
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - T Feng
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - J Liu
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - C Liu
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
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Qi X, Albuquerque KV, Bailey S, Dawes S, Kashani R, Li H, Mak RH, Mundt AJ, Sio TTW. Quality and Safety Considerations in Image Guided Radiation Therapy: An ASTRO Safety White Paper Update. Int J Radiat Oncol Biol Phys 2023; 117:S145-S146. [PMID: 37784371 DOI: 10.1016/j.ijrobp.2023.06.561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This updated report on image guided radiation therapy (IGRT) is based on a consensus-based white paper previously published by the American Society for Radiation Oncology (ASTRO) addressing patient safety. In the past decade, IGRT technology and procedures have progressed significantly and are now more commonly used. The use of IGRT has now extended beyond high-precision treatments, such as stereotactic radiosurgery and stereotactic body radiation therapy, and into routine clinical practice for many treatment techniques and anatomic sites. Therefore, quality and treatment planning and delivery considerations for these techniques are paramount for patient safety. MATERIALS/METHODS In 2021, ASTRO convened an interdisciplinary task force to assess the original IGRT white paper and update content where appropriate. Recommendations were created using a consensus-building methodology, and task force members indicated their level of agreement based on a 5-point Likert scale from "strongly agree" to "strongly disagree." A prespecified threshold of ≥75% of raters who selected "strongly agree" or "agree" indicated consensus. RESULTS The IGRT white paper was published (Pract Radiat Oncol. 2022 Dec) and endorsed by the American Association of Physicists in Medicine (AAPM), American Association of Medical Dosimetrists, and American Society of Radiologic Technologists. Since the first IGRT paper was published by ASTRO in 2013, significant technological advancement has taken place. New and updated considerations in personnel requirements, staffing, education and training, equipment and technological requirements, quality management and assurance, IGRT program management, and safety considerations were reported. A 17-point consensus was reached and recommended in 5 areas surrounding program development, quality assurance, quality management, treatment delivery, and vendor engagement (Table 5, Summary of key recommendations). CONCLUSION This IGRT white paper builds on the previous version and uses other guidance documents to primarily focus on processes related to quality and safety. IGRT requires an interdisciplinary team-based approach, staffed by appropriately trained specialists, as well as significant personnel resources, specialized technology, and implementation time. A thorough feasibility analysis of resources is required and should be discussed with all personnel before undertaking new imaging techniques. A comprehensive quality-assurance program must be developed to ensure IGRT is performed safely and effectively. As IGRT technologies continue to improve or emerge, existing practice guidelines should be updated regularly according to the latest AAPM Task Group reports. Patient safety in the application of IGRT is everyone's responsibility, and professional organizations, regulators, vendors, and end-users must demonstrate strong commitments to ensure that the highest levels of safety are achieved.
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Affiliation(s)
- X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
| | - K V Albuquerque
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Bailey
- Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, WI
| | - S Dawes
- American Society for Radiation Oncology, Wichita, KS
| | - R Kashani
- 4921 Parkview Place, Saint Louis, MO
| | - H Li
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - R H Mak
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
| | - A J Mundt
- UC San Diego Department of Radiation Medicine and Applied Sciences, La Jolla, CA
| | - T T W Sio
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ
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Li ZR, Weidhaas JB, Raldow A, Zhou Q, Qi X. Early Prediction of Radiation Treatment Response via Longitudinal Analysis of CBCT Radiomic Features for Locally Advanced Rectal Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e474-e475. [PMID: 37785506 DOI: 10.1016/j.ijrobp.2023.06.1686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients respond to the same radiation treatment course differently due to inter- and intra- patient variability in radiosensitivity. Despite widespread use of AI/ML in radiation oncology, there is a lack of monitoring strategies used during treatment courses to evaluate early predictors of treatment response in a systematic fashion. This work advances a straightforward, yet effective, method for the early detection of treatment response through systematically analyzing daily CBCT radiomic features. The goal is to aid clinicians in assessing the treatment efficacy routinely with a view towards optimizing personalized treatment. MATERIALS/METHODS We included a cohort of 30 patients diagnosed with locally advanced rectal cancer who underwent neo-adjuvant fractionated radiation treatment (RT) with a prescription dose of 50.4 Gy (28 fractions), followed by total mesorectal excision surgery after completion of ChemoRT. Daily IGRT imaging was acquired prior to each fraction resulting in a total of 840 CBCTs. Patients were divided into responder (14 patients) and non-responder (16 patients) groups based on post-RT pathological response. Mutual information algorithms were utilized to rigorously register daily CBCT images to the planning CT, and longitudinal radiomic features of the target were extracted from the daily CBCTs during the entire treatment course. All longitudinal features for a given patient were standardized with Z-Score normalization, followed by linear fitting using the least square method, resulting in radiomic feature trends (RFT) represented by slope values. Statistical significance was established via a two-sample U test and P-value with a threshold of 0.05. Logistic regression was performed to eliminate RFT with accuracy rates lower than 0.5. The final trending model was developed using random forest. For each patient at fraction N, our investigation involved independent 27 group experiments, where each experiment considered image group from fraction #1 to N, to confirm the effectiveness and stability of the model. RESULTS The proposed RFT demonstrated a high level of precision and consistency for post-RT response based on longitudinal CBCT images for LARC patients. The trending model yielded an accuracy of 0.9556, 95% CI (0.94, 0.972) when each daily image was considered, the prediction consistency was 0.964. Given the first 14 experiments (considering group images of fraction #1-15), the prediction accuracy was 0.9357, 95% CI (0.915, 0.956) and the prediction consistency was 0.952. CONCLUSION A strategy for monitoring and early prediction of LARC patients' radioresponse was evaluated via longitudinal CBCT assessment. Our trending models demonstrate a significant difference between the responder vs non-responder groups as early as the 15th fraction. Our strategy achieved superior accuracy and consistency to predict post-RT response of LARC patients.
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Affiliation(s)
- Z R Li
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
| | - J B Weidhaas
- Department of Radiation Oncology, UCLA, Los Angeles, CA
| | - A Raldow
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | - Q Zhou
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
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18
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Cao J, Qi X, Wang N, Chen Y, Xie B, Ma C, Chen Z, Xiong W. Ceruloplasmin regulating fibrosis in orbital fibroblasts provides a novel therapeutic target for Graves' orbitopathy. J Endocrinol Invest 2023; 46:2005-2016. [PMID: 36849849 DOI: 10.1007/s40618-023-02033-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/03/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE In diagnosing the pathogenesis of Graves' orbitopathy (GO), there is a growing interest in fibrosis generated by orbital fibroblasts (OFs); nevertheless, the involvement of ceruloplasmin (CP) in OFs remains unknown. METHODS Differentially expressed genes (DEGs) were identified through bioinformatic analysis. OFs were isolated from orbital tissue and identified with immunofluorescent staining. The levels of DEGs were validated in GO tissue samples and TGF-β-challenged OFs, and CP was selected for the following laboratory investigations. CP overexpression or knockdown was achieved, and cell viability and fibrosis-associated proteins were investigated to assess the cell phenotype and function. Signaling pathways were subsequently investigated to explore the mechanism of CP function in OFs. RESULTS CP and cathepsin C (CTSC) are two overlapped DEGs in GSE58331 and GSE105149. OFs were isolated and identified through fibrotic biomarkers. CP and CTSC were downregulated in GO tissue samples and TGF-β-challenged OFs. CP overexpression or knockdown was achieved in OFs by transducing a CP overexpression vector or small interfering RNA against CP (si1-CP or si2-CP) and verified using a qRT-PCR. CP overexpression inhibited cell viability and reduced the levels of α-SMA, vimentin, fibronectin, and collagen I, whereas CP knockdown exerted opposite effects on OFs. CP overexpression inhibited the phosphorylation of Smad3, Erk1/2, p38, JNK, and AKT; conversely, CP knockdown exerted opposite effects on the phosphorylation of factors mentioned above. CONCLUSION CP was downregulated in GO and suppressed the expression of fibrosis-associated proteins in both GO and normal OFs. CP might serve as a promising therapeutic agent in the treatment regimens for GO.
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Affiliation(s)
- J Cao
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - X Qi
- Department of Ophthalmology, Second Xiangya Hospital, Central South University, Changsha, China
| | - N Wang
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Chen
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - B Xie
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - C Ma
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Z Chen
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - W Xiong
- Department of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China.
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Pan X, Liu C, Feng T, Qi X. A Novel Multi-Objective Based Feature Selection Method for Response Prediction. Int J Radiat Oncol Biol Phys 2023; 117:e611. [PMID: 37785839 DOI: 10.1016/j.ijrobp.2023.06.1985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate response prediction is essential towards personalized treatment in radiation therapy. Excessive imaging features, extracted from medical images, pose a great challenge in radiomic analyses. Feature selection is an essential step to remove redundant and irrelevant features for model construction. MATERIALS/METHODS We proposed a novel multi-objective based radiomic feature selection method (MRMOPSO), where the number of features, sensitivity, and specificity are jointly considered as optimization objectives for feature selection. The MRMOPSO innovated by three aspects: 1) Fisher score initialize the feature population to speed up the convergence; 2) Min-redundancy particle generation operations to reduce the redundancy between radiomic features, a truncation strategy was also introduced; 3) Particle selection operation guided by elitism strategies to improve local search ability of the algorithm. We evaluated the effectiveness of the proposed MRMOPSO method using a cohort of oropharyngeal cancer patients from The Cancer Imaging Archive (TCIA). 357 patients were used for model training and additional 64 patients were used for independent evaluation. The proposed methods were compared with (a) classical feature selection methods, i.e., Lasso, minimal-redundancy-maximal-relevance criterion (mRMR), F-score, and mutual information (MI), (b) single-objective feature selection methods, i.e., genetic algorithm (GA), particle swarm optimization algorithm (PSO) and (c) multi-objective feature selection methods, i.e., multiple objective particle swarm optimization (MOPSO), nondominated sorting genetic algorithm II (NSGA II). RESULTS The other feature selection methods yielded AUCs, sensitivity, specificity of (0.48-0.71), (0.49-0.86), (0.33-0.67), respectively. The MRMOPSO achieved significantly highly AUC of 0.84 with smaller number of selected features on the independent dataset (Table 1). Additionally, the MRMOPSO remarkably improved the sensitivity (0.81), specificity (0.81) and achieved an excellent balance between sensitively and specificity. CONCLUSION We demonstrated a novel multi-objective based radiomic feature selection method. The proposed algorithm effectively reduced feature dimension, and achieved superior AUC with simultaneous improved sensitivity and specificity, for radiomic response prediction.
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Affiliation(s)
- X Pan
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - C Liu
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - T Feng
- School of Computer Science and Technology, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, China
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
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Qi X, Li H, Gao X, Ma M, Bai Y, Li X. Impact of Prophylactic Pelvic Lymph Node Irradiation in De-Novo Oligometastatic Prostate Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e429. [PMID: 37785402 DOI: 10.1016/j.ijrobp.2023.06.1592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate the impact of prophylactic pelvic nodal irradiation in de-novo oligometastatic prostate cancer treated with radiotherapy (RT) for both primary tumor and all metastatic lesions. MATERIALS/METHODS This was a single-center prospective cohort study. De novo oligometastatic prostate cancer patients with RT for both primary tumor and all metastatic lesions were included. Kaplan-Meier method, log rank test and cox regression were used to calculate OS and PFS. PFS included PSA failure, local or distant failure assessed by imaging. RESULTS This study analyzed 202 patients from 10/2011 to 1/2022 with median follow-up of 48 months. A total of 126 (62.4%) patients were treated with pelvic lymph node RT. The dose was 47.5 Gy with 1.9 Gy per fraction. Among them, 66 (32.7%) patients were treated with whole pelvic RT (WPRT), which the upper limit was at the aortic bifurcation. 60 (29.7%) patients were treated with mini-WPRT, which the upper limit was at the lower margin of obturator foramen. The incidence of diarrhea (P = 0.038) and leukocyte reduction (P = 0.040) in the WPRT subgroup during radiotherapy was significantly higher than that in the mini-WPRT and non-pelvic RT subgroup. For the whole cohort, the median OS and PFS were not reached. The subgroup analysis showed that the elective pelvic nodal irradiation could improve PFS (P = 0.042). However, there was no difference of PFS between standard WPRT and mini-WPRT. CONCLUSION The study suggests that for de-novo oligometastatic prostate cancer, elective pelvic nodal irradiation may improve PFS. For patients who cannot tolerate WPRT, mini-WPRT may be an alternative option. However, it needs to be verified in the prospective RCT study.
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Affiliation(s)
- X Qi
- Department of Radiation Oncology, Peking University First Hospital, Beijing, China
| | - H Li
- Department of Radiation Oncology, Peking University First Hospital, Beijing, China
| | - X Gao
- Department of Radiation Oncology, Peking University First Hospital, Beijing, China
| | - M Ma
- Department of Radiation Oncology, Peking University First Hospital, Beijing, China
| | - Y Bai
- Department of Radiation Oncology, Peking University First Hospital, Beijing, China
| | - X Li
- Department of Radiation Oncology, Peking University First Hospital, Beijing, China
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Zhang W, Ma Y, Ibrahim G, Qi X, Zhou Q. Unsupervised Domain Adaptation of Auto-Segmentation on Multi-Source MRIs. Int J Radiat Oncol Biol Phys 2023; 117:e497. [PMID: 37785564 DOI: 10.1016/j.ijrobp.2023.06.1736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Deep learning has achieved great success in medical image segmentation. Most existing deep learning (DL) approaches make no adjustments to the model prior to inference. These models can perform well on the data of the same distribution, but their performance usually degrades when applied to the images from different source, i.e., different scanners. To tackle the problem caused by domain shift, we proposed an unsupervised domain adaptation (UDA) method based on entropy minimization and physical consistency constraints. MATERIALS/METHODS The proposed method combines feature-level and instance-level domain adaptation techniques to transfer knowledge from the source to the target domain. Specifically, the feature-level adaptation technique uses a graph-based entropy minimization to reduce the discrepancy between the source and target domains. The instance-level adaptation technique employs a novel consistency loss to regularize the physical consistency of the same object, such as volume, length, and centroid, thus improving the segmentation accuracy of the target domain. A collection of 93 abdominal MR images, comprising 45 cases from a 0.35T MRI scanner (TRUFI) and 48 cases from a 1.5T MRI scanner (T2), was utilized to evaluate the effectiveness of the proposed method. The contours of 6 organs-at-risk were delineated by a senior radiation oncologist, serving as the ground truth. Three models, the source model (SRC) trained on the source domain, the target model (TGT) trained on the target domain, and the UDA model adapted from the source domain to the target domain, were compared on the target domain using the Dice Similarity Coefficient (DSC). RESULTS In the experiment of 0.35T-to-1.5T, the proposed UDA method outperformed the source model, achieving an average DSC score of 0.82 ± 0.11, compared to 0.58 ± 0.23 (SRC) and 0.85 ± 0.09 (TGT), respectively. In the inverse experiment 1.5T-to-0.35T, the UDA model achieved an average DSC score of 0.79±0.13, compared to DSCs of 0.52 ± 0.25 and 0.81 ± 0.11 for the SRC and TGT respectively. The UDA method yielded a significant improvement of 46%, compared to the SRC. Particularly, OARs (organ at risk) with higher deformability such as the stomach and duodenum achieved a 58% and 63% improvement in performance, respectively. CONCLUSION This work presents a compelling approach of UDA for auto-segmentation on multi-source MRIs. Experimental results demonstrate that the UDA effectively improve the segmentation performance of the source model in the target domain, resulting in a more robust segmentation model.
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Affiliation(s)
- W Zhang
- Manteia Technologies Co., Ltd., Xiamen, China
| | - Y Ma
- Manteia Technologies Co., Ltd., Xiamen, China
| | - G Ibrahim
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
| | - Q Zhou
- Manteia Technologies Co., Ltd., Xiamen, China
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22
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Hao C, Li X, Jiang W, Qi X. Feature Selection Based on Unsupervised Clustering Mechanism on Multiple-Sequence MRIs for Predicting Neoadjuvant Chemoradiation Response in Locally Advanced Rectal Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e708-e709. [PMID: 37786073 DOI: 10.1016/j.ijrobp.2023.06.2203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate response prediction allows for personalized cancer management. We developed an unsupervised clustering mechanism to improve effectiveness and efficiency in feature selection operation for accurate patient stratification. MATERIALS/METHODS Forty-three locally advanced rectal cancer (LARC) patients underwent neoadjuvant chemoradiation were included, pre-treatment T2 and ADC MRIs were acquired for each patient. An initial feature space consisting of 200 radiomic features extracted from manually delineated GTVs from two sequences of MR images. Additional 960 high-order radiomic features extracted from a 3D convolutional neural network (CNN). To remove redundant and irrelevant features, we developed an unsupervised clustering-based feature selection operation to determine the combination of features with potential best performance. The normal process of feature selection involves searching new feature combinations and training new classifiers for evaluating their performance via an iterative process based on selected feature set, the overall time cost is tremendous. To balance the computational cost and search efficiency, firstly, we proposed an unsupervised clustering analysis metric- Comprehensive Cluster Analysis Index (CCAI) through the K-means algorithm, where the average distances between the sample points and the cluster centroids and so on, to construct a multiple linear regression model. Secondly, we extracted sample points by varying the number of features and feature ratios between radiomic features and 3D-CNN features in the output of feature selection. Thirdly, we optimized the model using the sampling points to calculate the CCAI. Two typical feature combination search algorithms, the random forest recursive feature elimination (RF-RFE) and the differential evolution (DE), were used to perform feature selection with CCAI. RESULTS The accuracy, area-under-curve (AUC) and specificity, based on combined 3D-CNN and radiomic features extracted from combined T2 and ADC images, were 0.852, 0.871, and 0.735, respectively. Our experiments illustrated higher predictive power (AUC = 0.846) based on high-order abstract features extracted from the CNN on ADC and T2 images, compared to the traditional radiomic model (AUC = 0.714). Additionally, the predictive models constructed based on radiomics and CNN features extracted from ADC images were more predictable in terms of treatment responses than the radiomic and CNN imaging features extracted from T2 images. The average computational time of DE and RF-RFE were 50.5s and 128.6s in one single computation, the average computational time were 24.2s and 91.3s with CCAI, respectively. CONCLUSION We proposed an unsupervised clustering analysis mechanism to improve the effectiveness of feature selection while decreasing its time cost markedly, which highlight the correlation and complementarity between low- and high-level imaging features, achieving better predictive accuracy.
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Affiliation(s)
- C Hao
- School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, Shaanxi, China
| | - X Li
- School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, Shaanxi, China
| | - W Jiang
- School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, Shaanxi, China
| | - X Qi
- Dept. of Radiation Oncology, UCLA, Los Angeles, CA
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23
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Jiao Y, Guo L, Han TL, Qi X, Gao Y, Zhang Y, Zhao JH, Li BB, Zhang Z, Sun LL. [Analysis of the characteristics of viral infections in children with diarrhea in Beijing from 2018 to 2022]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:976-982. [PMID: 37400218 DOI: 10.3760/cma.j.cn112150-20230131-00066] [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: 07/05/2023]
Abstract
Objective: To explore the characteristics of viral infections in children with diarrhea in Beijing from 2018 to 2022. Methods: Real-time PCR and enzyme-linked immunosorbent assay were used to detect viral nucleic acid of Norovirus (NoV), Sappovirus (SaV), Astrovirus (AstV), Enteric Adenovirus (AdV) or antigen of Rotavirus (RV) in 748 stool samples collected from Beijing Capital Institute of Pediatrics from January 2018 to December 2021. Subsequently, the reverse transcription PCR or PCR method was used to amplify the target gene of the positive samples after the initial screening, followed by sequencing, genotyping and evolution analysis, so as to obtain the characteristics of these viruses. Phylogenetic analysis was performed using Mega 6.0. Results: From 2018 to 2021, the overall detection rate of the above five common viruses was 37.6%(281/748)in children under 5 years old in Beijing. NoV, Enteric AdV and RV were still the top three diarrhea-related viruses, followed by AstV and SaV, accounting for 41.6%, 29.2%, 27.8%, 8.9% and 7.5%, respectively. The detection rate of co-infections with two or three diarrhea-related viruses was 4.7% (35/748). From the perspective of annual distribution, the detection rate of Enteric AdV was the highest in 2021, while NoV was predominant in the other 4 years. From the perspective of genetic characteristics, NoV was predominant by GII.4, and after the first detection of GII.4[P16] in 2020, it occupied the first two gene groups together with GII.4[P31]. Although the predominant RV was G9P[8], the rare epidemic strain G8P[8] was first detected in 2021. The predominant genotypes of Enteric AdV and AstV were Ad41 and HAstV-1. SaV was sporadic spread with a low detection rate. Conclusion: Among the diarrhea-related viruses infected children under 5 years of age in Beijing, the predominant strains of NoV and RV have changed and new sub-genotypes have been detected for the first time, while the predominant strains of AstV and Enteric AdV are relatively stable.
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Affiliation(s)
- Y Jiao
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - L Guo
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - T L Han
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - X Qi
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Gao
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Zhang
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - J H Zhao
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - B B Li
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Zhang
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
| | - L L Sun
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100021, China
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Li X, Cao Y, Xu X, Wang C, Ni Q, Lv X, Yang C, Zhang Z, Qi X, Song G. Sleep Deprivation Promotes Endothelial Inflammation and Atherogenesis by Reducing Exosomal miR-182-5p. Arterioscler Thromb Vasc Biol 2023; 43:995-1014. [PMID: 37021573 DOI: 10.1161/atvbaha.123.319026] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/22/2023] [Indexed: 04/07/2023]
Abstract
BACKGROUND Insufficient or disrupted sleep increases the risk of cardiovascular disease, including atherosclerosis. However, we know little about the molecular mechanisms by which sleep modulates atherogenesis. This study aimed to explore the potential role of circulating exosomes in endothelial inflammation and atherogenesis under sleep deprivation status and the molecular mechanisms involved. METHODS Circulating exosomes were isolated from the plasma of volunteers with or without sleep deprivation and mice subjected to 12-week sleep deprivation or control littermates. miRNA array was performed to determine changes in miRNA expression in circulating exosomes. RESULTS Although the total circulating exosome levels did not change significantly, the isolated plasma exosomes from sleep-deprived mice or human were a potent inducer of endothelial inflammation and atherogenesis. Through profiling and functional analysis of the global microRNA in the exosomes, we found miR-182-5p is a key exosomal cargo that mediates the proinflammatory effects of exosomes by upregulation of MYD88 (myeloid differentiation factor 88) and activation of NF-ĸB (nuclear factor kappa-B)/NLRP3 pathway in endothelial cells. Moreover, sleep deprivation or the reduction of melatonin directly decreased the synthesis of miR-182-5p and led to the accumulation of reactive oxygen species in small intestinal epithelium. CONCLUSIONS The findings illustrate an important role for circulating exosomes in distant communications, suggesting a new mechanism underlying the link between sleep disorder and cardiovascular disease.
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Affiliation(s)
- Xiao Li
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Ying Cao
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Xinxin Xu
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Chongyue Wang
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Qingbin Ni
- Hydrogen medicine center, Tai 'an City Central Hospital, China (Q.N.)
| | - Xiang Lv
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Chao Yang
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Zhaoqiang Zhang
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine of Ministry of Education, Department of Developmental & Regenerative Biology, Jinan University, Guangzhou, China (X.Q.)
| | - Guohua Song
- School of Basic Medical Sciences, and The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Jinan, China (X.L., Y.C., X.X., C.W., X.L., C.Y., Z.Z., G.S.)
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25
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Hassan IU, Rehman HM, Liu Z, Zhou L, Samma MK, Wang C, Rong Z, Qi X, Cai D, Zhao H. Genome-wide identification and spatiotemporal expression profiling of zinc finger SWIM domain-containing protein family genes. Zool Res 2023; 44:663-674. [PMID: 37161653 DOI: 10.24272/j.issn.2095-8137.2022.418] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Abstract
The biological function of the novel zinc-finger SWIM domain-containing protein family (ZSWIM) during embryonic development remains elusive. Here, we conducted a genome-wide analysis to explore the evolutionary processes of the ZSWIM gene family members in mice, Xenopus tropicalis, zebrafish, and humans. We identified nine putative ZSWIM genes in the human and mouse genome, eight in the Xenopus genome, and five in the zebrafish genome. Based on multiple sequence alignment, three members, ZSWIM5, ZSWIM6, and ZSWIM8, demonstrated the highest homology across all four species. Using available RNA sequencing (RNA-seq) data, ZSWIM genes were found to be widely expressed across different tissues, with distinct tissue-specific properties. To identify the functions of the ZSWIM protein family during embryogenesis, we examined temporal and spatial expression patterns of zswim family genes in Xenopus embryos. Quantitative real-time polymerase chain reaction (qRT-PCR) revealed that each member had a distinct expression profile. Whole-mount in situ hybridization showed that both zswim1 and zswim3 were maternally expressed genes; zswim5 and zswim6 were expressed throughout embryogenesis and displayed dynamic expression in the brain, eyes, somite, and bronchial arch at the late tailbud stages; zswim7 was detected in the eye area; zswim8 showed a dynamic expression pattern during the tailbud stages, with expression detected in the brain, eyes, and somite; zswim9 was faintly expressed throughout embryonic development. This study provides a foundation for future research to delineate the functions of ZSWIM gene members.
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Affiliation(s)
- Imtiaz Ul Hassan
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hafiz Mamoon Rehman
- Centre for Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ziran Liu
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong 266034, China
| | - Liangji Zhou
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Muhammad Kaleem Samma
- Department of Biology and Chemistry, City University of Hong Kong, Hong Kong SAR, China
| | - Chengdong Wang
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zixin Rong
- Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), KTH Royal Institute of Technology, 10691 Stockholm, Sweden
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine of Ministry of Education, Department of Developmental & Regenerative Biology, Jinan University, Guangzhou 511436, China
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine of Ministry of Education, Department of Developmental & Regenerative Biology, Jinan University, Guangzhou 511436, China
| | - Hui Zhao
- Key Laboratory for Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Hong Kong SAR, China
- Hong Kong Branch of CAS Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Hong Kong SAR, China. E-mail:
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Wu B, Luo H, Tan C, Qi X, Sloan FA, Kamer AR, Schwartz MD, Martinez M, Plassman BL. Diabetes, Edentulism, and Cognitive Decline: A 12-Year Prospective Analysis. J Dent Res 2023:220345231155825. [PMID: 36908186 PMCID: PMC10399080 DOI: 10.1177/00220345231155825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023] Open
Abstract
Diabetes mellitus (DM) is a recognized risk factor for dementia, and increasing evidence shows that tooth loss is associated with cognitive impairment and dementia. However, the effect of the co-occurrence of DM and edentulism on cognitive decline is understudied. This 12-y cohort study aimed to assess the effect of the co-occurrence of DM and edentulism on cognitive decline and examine whether the effect differs by age group. Data were drawn from the 2006 to 2018 Health and Retirement Study. The study sample included 5,440 older adults aged 65 to 74 y, 3,300 aged 75 to 84 y, and 1,208 aged 85 y or older. Linear mixed-effect regression was employed to model the rates of cognitive decline stratified by age cohorts. Compared with their counterparts with neither DM nor edentulism at baseline, older adults aged 65 to 74 y (β = -1.12; 95% confidence interval [CI], -1.56 to -0.65; P < 0.001) and those aged 75 to 84 y with both conditions (β = -1.35; 95% CI, -2.09 to -0.61; P < 0.001) had a worse cognitive function. For the rate of cognitive decline, compared to those with neither condition from the same age cohort, older adults aged 65 to 74 y with both conditions declined at a higher rate (β = -0.15; 95% CI, -0.20 to -0.10; P < 0.001). Having DM alone led to an accelerated cognitive decline in older adults aged 65 to 74 y (β = -0.09; 95% CI, -0.13 to -0.05; P < 0.001); having edentulism alone led to an accelerated decline in older adults aged 65 to 74 y (β = -0.13; 95% CI, -0.17 to -0.08; P < 0.001) and older adults aged 75 to 84 (β = -0.10; 95% CI, -0.17 to -0.03; P < 0.01). Our study finds the co-occurrence of DM and edentulism led to a worse cognitive function and a faster cognitive decline in older adults aged 65 to 74 y.
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Affiliation(s)
- B Wu
- Rory Meyers College of Nursing, New York University, New York, NY, USA
| | - H Luo
- Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - C Tan
- Rory Meyers College of Nursing, New York University, New York, NY, USA
| | - X Qi
- Rory Meyers College of Nursing, New York University, New York, NY, USA
| | - F A Sloan
- Department of Economics, Duke University, Durham, NC, USA
| | - A R Kamer
- College of Dentistry, New York University, New York, NY, USA
| | - M D Schwartz
- Grossman School of Medicine, New York University, New York, NY, USA
| | - M Martinez
- Department of Biology, Duke University, Durham, NC, USA
| | - B L Plassman
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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Lv L, Guo W, Guan W, Chen Y, Huang R, Yuan Z, Pu Q, Feng S, Zheng X, Li Y, Xiao L, Zhao H, Qi X, Cai D. Echocardiographic assessment of Xenopus tropicalis heart regeneration. Cell Biosci 2023; 13:29. [PMID: 36782288 PMCID: PMC9926761 DOI: 10.1186/s13578-023-00982-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/04/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Recently, it was reported that the adult X. tropicalis heart can regenerate in a nearly scar-free manner after injury via apical resection. Thus, a cardiac regeneration model in adult X. tropicalis provides a powerful tool for recapitulating a perfect regeneration phenomenon, elucidating the underlying molecular mechanisms of cardiac regeneration in an adult heart, and developing an interventional strategy for the improvement in the regeneration of an adult heart, which may be more applicable in mammals than in species with a lower degree of evolution. However, a noninvasive and rapid real-time method that can observe and measure the long-term dynamic change in the regenerated heart in living organisms to monitor and assess the regeneration and repair status in this model has not yet been established. RESULTS In the present study, the methodology of echocardiographic assessment to characterize the morphology, anatomic structure and cardiac function of injured X. tropicalis hearts established by apex resection was established. The findings of this study demonstrated for the first time that small animal echocardiographic analysis can be used to assess the regeneration of X. tropicalis damaged heart in a scar-free perfect regeneration or nonperfect regeneration with adhesion manner via recovery of morphology and cardiac function. CONCLUSIONS Small animal echocardiography is a reliable, noninvasive and rapid real-time method for observing and assessing the long-term dynamic changes in the regeneration of injured X. tropicalis hearts.
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Affiliation(s)
- Luocheng Lv
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Weimin Guo
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Wei Guan
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Yilin Chen
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Ruijin Huang
- grid.10388.320000 0001 2240 3300Institute of Anatomy, Department of Neuroanatomy, Medical Faculty, University of Bonn, Bonn, Germany
| | - Ziqiang Yuan
- grid.430387.b0000 0004 1936 8796Cancer Institute of New Jersey, Department of Medical Oncology, Robert Wood Johnson of Medical School, New Brunswick, USA
| | - Qin Pu
- grid.10388.320000 0001 2240 3300Institute of Anatomy, Department of Neuroanatomy, Medical Faculty, University of Bonn, Bonn, Germany
| | - Shanshan Feng
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Xin Zheng
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Yanmei Li
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Luanjuan Xiao
- grid.258164.c0000 0004 1790 3548Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632 People’s Republic of China ,grid.258164.c0000 0004 1790 3548Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632 China ,grid.258164.c0000 0004 1790 3548International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632 Guangdong China ,grid.258164.c0000 0004 1790 3548Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632 China
| | - Hui Zhao
- Stem Cell and Regeneration TRP, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632, People's Republic of China. .,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632, China. .,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632, Guangdong, China. .,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632, China.
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, 510632, People's Republic of China. .,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, 510632, China. .,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, 510632, Guangdong, China. .,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, 510632, China.
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Li Y, Luo B, Tong B, Xie Z, Cao J, Bai X, Peng Y, Wu Y, Wang W, Qi X. The role and molecular mechanism of gut microbiota in Graves' orbitopathy. J Endocrinol Invest 2023; 46:305-317. [PMID: 35986869 DOI: 10.1007/s40618-022-01902-7] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 08/10/2022] [Indexed: 01/25/2023]
Abstract
PURPOSE Graves' orbitopathy (GO) is an autoimmune orbital disorder. Gut microbiota dysfunction plays a vital role in autoimmune diseases, including Graves' disease (GD) and GO. In the present study, we aimed to investigate the change of gut microbiota in GD/GO using mouse model. METHODS The murine model of GD/GO was established by the challenge of adenovirus expressing thyroid-stimulating hormone (TSH) receptor (TSHR) (Ad-TSHR). The histological changes of orbital and thyroid tissues were analyzed by hematoxylin and eosin (H&E), Masson staining, and immunohistochemistry (IHC) staining. The fecal samples were collected for 16S rRNA gene sequencing and bioinformatics analysis. RESULTS The GD/GO model was established successfully, as manifested as the broadened eyelid, exophthalmia and conjunctive redness, severe inflammatory infiltration among thyroid glands and between extraocular muscle space, hypertrophic extraocular muscles, elevated thyroxine (T4) and decreased TSH, and positive CD34, CD40, collagen I, and α-SMA staining. A total of 222 operational taxonomic units (OUTs) were overlapped between mice in the Ad-NC and Ad-TSHR groups. The microbial composition of the samples in the two groups was mainly Bacteroidia and Clostridia, and the Ad-NC group had a significantly lower content of Bacteroidia and higher content of Clostridia. KEGG orthology analysis results revealed differences in dehydrogenase, aspartic acid, bile acid, chalcone synthase, acetyltransferase, glutamylcyclotransferase, glycogenin, and 1-phosphatidylinositol-4-phosphate 5-kinase between two groups; enzyme commission (EC) analysis results revealed differences in several dehydrogenase, oxidase, thioxy/reductase between two groups; MetaCyc pathways analysis results revealed differences in isoleucine degradation, oxidation of C1 compounds, tricarboxylic acid (TCA) cycle IV, taurine degradation, and biosynthesis of paromamine, heme, colonic acid building blocks, butanediol, lysine/threonine/methionine, and histidine/purine/pyrimidine between two groups. CONCLUSION This study induced a mouse model of GD/GO by Ad-TSHR challenge, and gut microbiota characteristics were identified in the GD/GO mice. The Bacteroidia and Clostridia abundance was changed in the GD/GO mice. These findings may lay a solid experimental foundation for developing personalized treatment regimens for GD patients according to the individual gut microbiota. Given the potential impact of regional differences on intestinal microbiota, this study in China may provide a reference for the global overview of the gut-thyroid axis hypothesis.
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Affiliation(s)
- Y Li
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - B Luo
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - B Tong
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Z Xie
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - J Cao
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - X Bai
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Y Peng
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Y Wu
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - W Wang
- Department of Ophthalmology, Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China
| | - X Qi
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China.
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Wang Q, Wang Y, Chang C, Ma F, Peng D, Yang S, An Y, Deng Q, Wang Q, Gao F, Wang F, Tang H, Qi X, Jiang X, Cai D, Zhou G. Comparative analysis of mesenchymal stem/stromal cells derived from human induced pluripotent stem cells and the cognate umbilical cord mesenchymal stem/stromal cells. Heliyon 2023; 9:e12683. [PMID: 36647346 PMCID: PMC9840238 DOI: 10.1016/j.heliyon.2022.e12683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/05/2022] [Accepted: 12/22/2022] [Indexed: 01/06/2023] Open
Abstract
Mesenchymal stem/stromal cells (MSCs) show tremendous potential for regenerative medicine due to their self-renewal, multi-differentiation and immunomodulatory capabilities. Largely studies had indicated conventional tissue-derived MSCs have considerable limited expandability and donor variability which hinders further application. Induced pluripotent stem cell (iPSCs)-derived MSCs (iMSCs) have created exciting source for standardized cellular therapy. However, the cellular and molecular differences between iMSCs and the cognate tissue-derived MSCs remains poorly explored. In this study, we first successfully reprogrammed human umbilical cords-derived mesenchymal stem/stromal cells (UMSCs) into iPSCs by using the cocktails of mRNA. Subsequently, iPSCs were further differentiated into iMSCs in xeno-free induction medium. Then, iMSCs were compared with the donor matched UMSCs by assessing proliferative state, differentiation capability, immunomodulatory potential through immunohistochemical analysis, flow cytometric analysis, transcriptome sequencing analysis, and combine with coculture with immune cell population. The results showed that iMSCs exhibited high expression of MSCs positive-makers CD73, CD90, CD105 and lack expression of negative-maker cocktails CD34, CD45, CD11b, CD19, HLA-DR; also successfully differentiated into osteocytes, chondrocytes and adipocytes. Further, the iMSCs were similar with their parental UMSCs in cell proliferative state detected by the CCK-8 assay, and in cell rejuvenation state assessed by β-Galactosidase staining and telomerase activity related mRNA and protein analysis. However, iMSCs exhibited similarity to resident MSCs in Homeobox (Hox) genes expression profile and presented better neural differentiation potential by activation of NESTIN related pathway. Moreover, iMSCs owned enhanced immunosuppression capacity through downregulation pools of pro-inflammatory factors, including IL6, IL1B etc. and upregulation anti-inflammatory factors NOS1, TGFB etc. signals. In summary, our study provides an attractive cell source for basic research and offers fundamental biological insight of iMSCs-based therapy.
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Affiliation(s)
- Quanlei Wang
- Key Laboratory of Regenerative Medicine of Ministry of Education, Biology Postdoctoral Research Station, Jinan University, Guangzhou, China,Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China,Department of Medical Cell Biology and Genetics, Guangdong Key Laboratory of Genomic Stability and Disease Prevention, Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine, and Shenzhen Engineering Laboratory of Regenerative Technologies for Orthopaedic Diseases, Health Science Center, Shenzhen University, Shenzhen, China
| | - Yuwei Wang
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China,The SZU-Cheerland Institute for Advanced and Innovative Medicine, Shenzhen, China
| | - Chongfei Chang
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China
| | - Feilong Ma
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China
| | - Dongxiu Peng
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China
| | - Shun Yang
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China
| | | | - Qiuting Deng
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Qixiao Wang
- Department of Oral and Maxillofacial Surgery, The First People's Hospital of Huaihua, University of South China, Huaihua, Hunan, China
| | - Fei Gao
- China Food and Drug Administration, Beijing, China
| | - Fei Wang
- The SZU-Cheerland Institute for Advanced and Innovative Medicine, Shenzhen, China
| | - Huiru Tang
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine of Ministry of Education, Biology Postdoctoral Research Station, Jinan University, Guangzhou, China
| | - Xiaoming Jiang
- The SZU-Cheerland Institute for Advanced and Innovative Medicine, Shenzhen, China,Corresponding author. The SZU-Cheerland Institute for Advanced and Innovative Medicine, Shenzhen, China.
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine of Ministry of Education, Biology Postdoctoral Research Station, Jinan University, Guangzhou, China,Corresponding author. Key Laboratory of Regenerative Medicine of Ministry of Education, Biology Postdoctoral Research Station, Jinan University, Guangzhou, China.
| | - Guangqian Zhou
- Cheerland Danlun Biopharma Co. Ltd., Dapeng New District, Shenzhen, China,Department of Medical Cell Biology and Genetics, Guangdong Key Laboratory of Genomic Stability and Disease Prevention, Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine, and Shenzhen Engineering Laboratory of Regenerative Technologies for Orthopaedic Diseases, Health Science Center, Shenzhen University, Shenzhen, China,The SZU-Cheerland Institute for Advanced and Innovative Medicine, Shenzhen, China,Corresponding author. The SZU-Cheerland Institute for Advanced and Innovative Medicine, Shenzhen, China.
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30
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Li H, Qi X, Gao X, Ma M, Qin S. Dose-Intensified Postoperative Radiation Therapy for Prostate Cancer: Seven-Year Outcomes from the PKUFH Randomized Phase III Trial. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.586] [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: 10/31/2022]
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31
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Wang Z, Li V, Qi X. Dosimetric Predictors in Overall Survival Prediction for Patients with Mesothelioma through an Interpretable Cox Regression Model. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2211] [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: 10/31/2022]
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32
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Chen X, Qi X, Cao Y, Li Y, Li H, Wang Q, Ai J. [Indirubin relieves inflammatory injury of chondrocytes in a mouse model of osteoarthritis]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1381-1388. [PMID: 36210712 DOI: 10.12122/j.issn.1673-4254.2022.09.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the effect of indirubin for relieving joint inflammation and injury in a rat model of osteoarthritis. METHODS Articular cartilage chondrocytes were isolated from adult rat knee joint and cultured in the presence of interleukin-1β (IL-1β) and 0.1, 0.5, 1.0, or 2.0 μmol/L indirubin. The cells were transfected with NPAS2 siRNA or a non-specific siRNA, and the cell proliferation and apoptosis were evaluated using tetramethylthiazole blue staining and flow cytometry. The protein expression levels of Bax, Bcl-2, ACAN, COL2A1, MMP-13 and NPAS2 were detected with Western blotting, and the levels of NO, PGE2 and TNF-α in the culture supernatant were determined with ELISA. The mRNA expression levels of NPAS2, ACAN, COL2A1 and MMP-13 were detected using fluorescence quantitative PCR. In a C57BL/6 mouse model of osteoarthritis, the effect of indirubin on BAX, Bcl-2, ACAN and MMP-13 protein expressions in the bone and joint tissues were evaluated with Western blotting. RESULTS Treatment with 0.1 μmol/L indirubin produced no significant changes in chondrocyte proliferation, apoptosis, caspase-3 activity, or BAX and Bcl-2 protein expressions. At higher doses (0.5, 1.0 and 2.0 μmol/L), indirubin significantly promoted cell proliferation, increased Bcl-2 protein expression, and lowered cell apoptosis rate, caspase-3 activity and Bax protein expression (P < 0.05). Indirubin treatment at 0.5 μmol/L up-regulated the protein and mRNA expressions of NPAS2, ACAN and COL2A1, and down-regulated the expressions of MMP-13, NO, PGE2 and TNF-α (P < 0.05). Interference of NPAS2 expression significantly attenuated the protective effect of 0.5 μmol/L indirubin against IL-1β-induced chondrocyte injury. The mouse model of osteoarthritis showed obviously increased protein levels of BAX and MMP-13 (P < 0.01) and decreased levels of Bcl-2 (P < 0.05) and ACAN (P < 0.01) in the knee joint, and indirubin treatment of the mouse models significantly inhibited the increase of BAX and MMP-13 protein expressions (P < 0.01) and up-regulated the protein expressions of Bcl-2 and ACAN (P < 0.05). CONCLUSION Indirubin has a protective effect on osteoarthritis tissue and alleviates inflammation and damage of osteoarthritis chondrocytes possibly through NPAS2.
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Affiliation(s)
- X Chen
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
| | - X Qi
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
| | - Y Cao
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
| | - Y Li
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
| | - H Li
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
| | - Q Wang
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
| | - J Ai
- Department of Orthopedic Trauma, Henan Provincial Hospital of TCM, Zhengzhou 450002, China
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Chen H, Lv L, Liang R, Guo W, Liao Z, Chen Y, Zhu K, Huang R, Zhao H, Pu Q, Yuan Z, Zeng Z, Zheng X, Feng S, Qi X, Cai D. miR-486 improves fibrotic activity in myocardial infarction by targeting SRSF3/p21-Mediated cardiac myofibroblast senescence. J Cell Mol Med 2022; 26:5135-5149. [PMID: 36117396 PMCID: PMC9575141 DOI: 10.1111/jcmm.17539] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 08/08/2022] [Accepted: 08/26/2022] [Indexed: 12/03/2022] Open
Abstract
The regulation of fibrotic activities is key to improving pathological remodelling post‐myocardial infarction (MI). Currently, in the clinic, safe and curative therapies for cardiac fibrosis and improvement of the pathological fibrotic environment, scar formation and pathological remodelling post‐MI are lacking. Previous studies have shown that miR‐486 is involved in the regulation of fibrosis. However, it is still unclear how miR‐486 functions in post‐MI regeneration. Here, we first demonstrated that miR‐486 targeting SRSF3/p21 mediates the senescence of cardiac myofibroblasts to improve their fibrotic activity, which benefits the regeneration of MI by limiting scar size and post‐MI remodelling. miR‐486‐targeted silencing has high potential as a novel target to improve fibrotic activity, cardiac fibrosis and pathological remodelling.
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Affiliation(s)
- Hongyi Chen
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Luocheng Lv
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Ruoxu Liang
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Weimin Guo
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Zhaofu Liao
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Yilin Chen
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Kuikui Zhu
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Ruijin Huang
- Institute of Anatomy, Department of Neuroanatomy, Medical Faculty, University of Bonn, Germany
| | - Hui Zhao
- Stem Cell and Regeneration TRP, School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong
| | - Qin Pu
- Institute of Anatomy, Department of Neuroanatomy, Medical Faculty, University of Bonn, Germany
| | - Ziqiang Yuan
- Cancer Institute of New Jersey, Department of Medical Oncology, Robert Wood Johnson of Medical School, USA
| | - Zhaohua Zeng
- Division of Cardiology, Department of Internal Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xin Zheng
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Shanshan Feng
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China.,Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China.,International Base of Collaboration for Science and Technology (JNU), Ministry of Science and Technology, Guangzhou, China.,Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
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Wang C, Li L, Yang C, Zhang Z, Li X, Wang Y, Lv X, Qi X, Song G. One night of sleep deprivation induces release of small extracellular vesicles into circulation and promotes platelet activation by small EVs. J Cell Mol Med 2022; 26:5033-5043. [PMID: 36043452 PMCID: PMC9549501 DOI: 10.1111/jcmm.17528] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/01/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022] Open
Abstract
Extracellular vesicles (EVs) are emerging as key players in intercellular communication. Few studies have focused on EV levels in subjects with sleep disorders. Here, we aimed to explore the role of acute sleep deprivation on the quantity and functionality of circulating EVs, and their tissue distribution. EVs were isolated by ultracentrifugation from the plasma of volunteers and animals undergoing one night of sleep deprivation. Arterio-venous shunt, FeCl3 thrombus test and thrombin-induced platelet aggregation assay were conducted to evaluate the in vivo and in vitro bioactivity of small EVs. Western blotting was performed to measure the expression of EV proteins. The fate and distribution of circulating small EVs were determined by intravital imaging. We found that one night of sleep deprivation triggers release of small EVs into the circulation in both healthy individuals and animals. Injection of sleep deprivation-liberated small EVs into animals increased thrombus formation and weight in thrombosis models. Also, sleep deprivation-liberated small EVs promoted platelet aggregation induced by thrombin. Mechanistically, sleep deprivation increased the levels of HMGB1 protein in small EVs, which play important roles in platelet activation. Furthermore, we found sleep deprivation-liberated small EVs are more readily localize in the liver. These data suggested that one night of sleep deprivation is a stress for small EV release, and small EVs released here may increase the risk of thrombosis. Further, small EVs may be implicated in long distance signalling during sleep deprivation-mediated adaptation processes.
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Affiliation(s)
- Chongyue Wang
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China.,Taishan Vocational College of Nursing, Taian, China
| | - Lulu Li
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
| | - Chao Yang
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
| | - Zhaoqiang Zhang
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
| | - Xiao Li
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
| | - Yun Wang
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
| | - Xiang Lv
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine of Ministry of Education, Department of Developmental & Regenerative Biology, Jinan University, Guangzhou, China
| | - Guohua Song
- School of Basic Medical Sciences, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Taian, China
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Li L, Guo H, Lai B, Liang C, Chen H, Chen Y, Guo W, Yuan Z, Huang R, Zeng Z, Liang L, Zhao H, Zheng X, Li Y, Pu Q, Qi X, Cai D. Ablation of cardiomyocyte-derived BDNF during development causes myocardial degeneration and heart failure in the adult mouse heart. Front Cardiovasc Med 2022; 9:967463. [PMID: 36061561 PMCID: PMC9433718 DOI: 10.3389/fcvm.2022.967463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Brain-derived neurotrophic factor (BDNF) and its receptor TrkB-T1 were recently found to be expressed in cardiomyocytes. However, the functional role of cardiomyocyte-derived BDNF in heart pathophysiology is not yet fully known. Recent studies revealed that BDNF-TrkB pathway plays a critical role to maintain integrity of cardiac structure and function, cardiac pathology and regeneration of myocardial infarction (MI). Therefore, the BDNF-TrkB pathway may be a novel target for myocardial pathophysiology in the adult heart. Approach and results In the present study, we established a cardiomyocyte-derived BDNF conditional knockout mouse in which BDNF expression in developing cardiomyocytes is ablated under the control of the Myosin heavy chain 6 (MYH6) promoter. The results of the present study show that ablation of cardiomyocyte-derived BDNF during development does not impair survival, growth or reproduction; however, in the young adult heart, it causes cardiomyocyte death, degeneration of the myocardium, cardiomyocyte hypertrophy, left atrial appendage thrombosis, decreased cardiac function, increased cardiac inflammation and ROS activity, and metabolic disorders, leading to heart failure (HF) in the adult heart and eventually resulting in a decrease in the one-year survival rate. In addition, ablation of cardiomyocyte-derived BDNF during the developmental stage leads to exacerbation of cardiac dysfunction and poor regeneration after MI in adult hearts. Conclusion Cardiomyocyte-derived BDNF is irreplaceable for maintaining the integrity of cardiac structure and function in the adult heart and regeneration after MI. Therefore, the BDNF-TrkB pathway will be a novel target for myocardial pathophysiology in the adult heart.
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Affiliation(s)
- Lilin Li
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Hongyan Guo
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
- Jiangxi Provincial Key Laboratory of Medical Immunology and Immunotherapy, Jiangxi Academy of Medical Sciences, Nanchang, China
| | - Binglin Lai
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Chunbao Liang
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Hongyi Chen
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Yilin Chen
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Weimin Guo
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Ziqiang Yuan
- Department of Medical Oncology, Robert Wood Johnson of Medical School, Cancer Institute of New Jersey, New Brunswick, NJ, United States
| | - Ruijin Huang
- Department of Neuroanatomy, Institute of Anatomy, University of Bonn, Bonn, Germany
- Department of Anatomy and Molecular Embryology, Institute of Anatomy and Cell Biology, University of Freiburg, Freiburg, Germany
| | - Zhaohua Zeng
- Division of Cardiology, Department of Internal Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liying Liang
- Division of Cardiology, Department of Internal Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hui Zhao
- Stem Cell and Regeneration TRP, School of Biomedical Sciences, Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Xin Zheng
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Yanmei Li
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
| | - Qin Pu
- Department of Neuroanatomy, Institute of Anatomy, University of Bonn, Bonn, Germany
| | - Xufeng Qi
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
- *Correspondence: Xufeng Qi,
| | - Dongqing Cai
- Key Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China
- Joint Laboratory for Regenerative Medicine, Chinese University of Hong Kong-Jinan University, Guangzhou, China
- International Base of Collaboration for Science and Technology (JNU), The Ministry of Science and Technology and Guangdong Province, Guangzhou, China
- Department of Developmental and Regenerative Biology, Jinan University, Guangzhou, China
- Dongqing Cai,
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Wen JL, Wang XY, Gu SJ, Li TT, Shi LC, Kong H, Qi X. [Progress in clinical diagnosis and treatment of multiple primary lung cancer]. Zhonghua Jie He He Hu Xi Za Zhi 2022; 45:826-834. [PMID: 35927054 DOI: 10.3760/cma.j.cn112147-20211209-00870] [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: 06/15/2023]
Abstract
With the application of high-resolution chest imaging system and lung cancer screening program, patients with multiple primary lung cancer (MPLC) are becoming a growing population in clinical practice. However, the diagnostic criteria of MPLC and its differentiation from intrapulmonary metastasis of lung cancer (IM) are still controversial, especially in cases with similar histology. On the basis of reviewing the existing literature, this paper discusses the changes of the diagnostic criteria of MPLC and the differential diagnosis methods of imaging, histology and molecular genetics of MPLC and IM, and briefly introduces the application of multidisciplinary diagnosis, algorithm, predictive model and artificial intelligence in the differential diagnosis of MPLC. In addition, we also discuss the latest progress in the treatment of MPLC. Radical surgery is the main method for the treatment of MPLC. Stereotactic body radiation therapy (SBRT) is safe and feasible for inoperable MPLC patients, and targeted therapy and immunotherapy can also be used in MPLC after appropriate patient selection.
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Affiliation(s)
- J L Wen
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - X Y Wang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - S J Gu
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - T T Li
- Department of Respiratory and Critical Care Medicine, Xuzhou Central Hospital, Xuzhou 221009, China
| | - L C Shi
- Department of Respiratory and Critical Care Medicine, Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing 210024, China
| | - H Kong
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - X Qi
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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Wong YJ, Chen Z, Li J, Liu C, Qi X, Chan YH. Reply: CHESS-ALARM score: Is it a 5-year prediction score? J Gastroenterol Hepatol 2022; 37:1405. [PMID: 35514323 DOI: 10.1111/jgh.15885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 05/02/2022] [Indexed: 02/05/2023]
Affiliation(s)
- Y J Wong
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore.,Duke-NUS Academic Medical Program, SingHealth, Singapore
| | - Z Chen
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - J Li
- Department of Gastroenterology and Hepatology, Tianjin Second People's Hospital, Tianjin, China
| | - C Liu
- CHESS Center Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
| | - X Qi
- CHESS Center Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
| | - Y H Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Yin G, Qi X, Li YL, Xu L, Zhou S, Chen XJ, Zhu JF, Su C. [Soluble egg antigen of Schistosoma japonicum induces macrophage apoptosis in mice]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 34:259-268. [PMID: 35896489 DOI: 10.16250/j.32.1374.2022047] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the dynamic changes of macrophage numbers and apoptosis during Schistosoma japonicum infection, and to investigate the possible mechanisms of macrophage apoptosis induced by S. japonicum soluble egg antigen (SEA). METHODS C57BL/6 mice at ages of 6~8 weeks were randomly divided into 4 groups, including three experimental groups and a normal control group. Each mouse in the experimental groups was infected with (12 ± 1) cercariae of S. japonicum via the abdominal skin, and all mice in an experimental group were sacrificed 3, 5, 8 weeks post-infection, respectively, while mice in the control group were not infected with S. japonicum cercariae and sacrificed on the day of S. japonicum infection in the experimental group. Mouse liver specimens and peritoneal exudation cells were sampled in each group, and the dynamic changes of macrophage numbers and apoptosis were detected. Mouse peritoneal macrophages were isolated, purified and treated with S. japonicum SEA, PBS and ovalbumin (OVA) in vitro, and the macrophage apoptosis was detected using flow cytometry. The mRNA and protein expression of BCL-2 protein family members were determined in macrophages using real-time quantitative PCR (qP-CR) and Western blotting assays, and the activation of caspase 3 was determined using flow cytometry and Western blotting. In addition, macrophages were in vitro treated with S. japonicum SEA in presence of a caspase inhibitor, H2O2 or N-acetyl-L-cysteine, and the apoptosis of macrophages was detected using flow cytometry. RESULTS The total macrophage numbers continued to increase in mouse liver [(0.873 ± 0.106) × 106, (2.737 ± 0.460) × 106 and (3.107 ± 0.367) × 106 cells, respectively; F = 81.900, P < 0.01] and peritoneal specimens [(5.282 ± 1.136) × 105, (7.500 ± 1.200) × 105 and (12.800 ± 0.800) × 105 cells, respectively; F = 55.720, P < 0.01] 3, 5 and 8 weeks post-infection with S. japonicum, and the numbers of apoptotic macrophages also continued to increase in mouse liver [(0.092 ± 0.018) × 106, (0.186 ± 0.025) × 106 and (0.173 ± 0.0270) × 106 cells; F = 57.780, P < 0.01] and peritoneal specimens [(0.335 ± 0.022) × 105, (0.771 ± 0.099) × 105 and (1.094 ± 0.051) × 105 cells; F = 49.460, P < 0.01] 3, 5 and 8 weeks post-infection with S. japonicum. The apoptotic rate of SEA-treated macrophages [(24.330 ± 0.784)%] was significantly higher than that of PBS-[(18.500 ± 1.077)%] and OVA-treated macrophages [(18.900 ± 1.350)%] (both P values < 0.01). There were no significant differences in the mRNA or protein expression of Bcl-2 [Bcl - 2 mRNA expression: (1.662 ± 0.943) vs. (1.000 ± 0.000), t = 1.215, P > 0.05; BCL protein expression: (0.068 ± 0.004) vs. (0.070 ± 0.005), t = 0.699, P > 0.05], Bax [Bax mRNA expression: (0.711 ± 0.200) vs. (1.000 ± 0.000), t = 2.507, P > 0.05; BAX protein expression: (0.089 ± 0.005) vs. (0.097 ± 0.003), t = 2.232, P > 0.05] and Bak [Bak mRNA expression: (1.255 ± 0.049) vs. (1.00 ± 0.00), t = 0.897, P > 0.05; BAK protein expression: (0.439 ± 0.048) vs. (0.571 ± 0.091), t = 2.231, P > 0.05] between in SEA- and PBS-treated macrophages. S. japonicum SEA induced macrophage apoptosis in the presence of a caspase inhibitor (F = 0.411, P > 0.05); however, SEA failed to induce macrophage apoptosis in the presence of H2O2 or NAC (F = 11.880 and 9.897, both P values < 0.05). CONCLUSIONS S. japonicum SEA may induce macrophage apoptosis through promoting reactive oxygen species expression during S. japonicum infections in mice.
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Affiliation(s)
- G Yin
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - X Qi
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Y L Li
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - L Xu
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - S Zhou
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - X J Chen
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - J F Zhu
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - C Su
- Department of Pathogenic Biology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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Wang J, Wang X, Qi X, Cui Y, Zhang T, Shu Q. POS0071 THE EFFICACY OF PIRFENIDONE COMBINED WITH IMMUNOSUPPRESSANT THERAPY IN THE CONNECTIVE TISSUE DISEASE-ASSOCIATED PULMONARY INTERSTITIAL DISEASE, A 24-WEEK PROSPECTIVE CONTROLLED COHORT STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4415] [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
BackgroundPulmonary interstitial disease(ILD)is very common in connective tissue disease (CTD). Different subtypes display significant differentiations in prognosis. Pirfenidone (PFD), the targeted anti-fibrosis and anti-inflammatory drug, started to apply in CTD-ILD, while its strategy of combination with immunotherapy, bridging time and service time are worth discussing.ObjectivesTo evaluate the efficacy and safety of PFD combined with immunosuppressant (IS) in the treatment of several CTD- ILD.Methods111 CTD-ILD patients were involved from Aug 2019 to Dec 2021 (ClinicalTrials.gov Identifier NCT04928586), including systemic sclerosis (SSc, n=30), inflammatory myopathy (IIM, n=51), rheumatoid arthritis (RA, n=17) and other CTDs (such as systemic lupus erythematosus, sjogren’s syndrome, n=13). Patients were treated with relative stable dose of glucocorticoid (GC) and/or IS since screening.After the evaluation of HRCT, pulmonary function (FVC% and DLCo%) and basic disease activity, PFD was added or not and followed up regularly for 24 weeks. The changes of lung function and imaging were recorded in different subgroups.ResultsAt baseline, The FVC% in the SSc-PFD (n=14), IIM-PFD (n=25) pts were lower than that of SSc-no-PFD (n=16), IIM-no-PFD (n=26) respectively, that was 81.06 vs 99.63(p = 0.014), 78.23 vs 91.12, (p= 0.010). And IIM-PFD group present a lower baseline DLCo% than IIM-no-PFD pts (64.25 vs 72.82, p =0.034). DLCo% in the other CTDs was lower than SSc, IIM, RA pts (54.58 vs 65.55, 68.71, 66.89, p=0.036), while there were no significant differences in baseline FVC% among these disease.After 24 weeks of treatment, FVC% in SSc-PFD group was improved by 7.15%, while that was -0.91% in SSc-no-PFD pts (p=0.042). The elevation in FVC% was also significant between the IIM-PFD and IIM-no-PFD control (8.00 vs 1.40, p=0.016). On the other hand, DLCo% of RA-PFD obviously enhanced 7.40%, compared with RA-no-PFD decrease 5.50% from baseline(p=0.002) (Figure 1).Figure 1.The changes of FVC% and DLco% in PFD treated CTD-ILD for 24 weeks. (A) FVC% changes in SSc, IIM, RA and other CTD-ILD from baseline.; (B) DLco% changes in SSc, IIM, RA and other CTD-ILD from baseline. * p< 0.05, compared to no PFD treatment group.When performing subgroup analysis with manifestations in HRCT, the change of FVC% in SSc-PFD pts with usual interstitial pueumonia tendency(SSc-PFD-UIP) was higher than SSc-PFD-non-UIP group (8.05 vs -3.20, p=0.014). However, the non-UIP tendency in IIM-PDF pts displayed superior therapeutic effects than IIM-PDF-UIP pts (10.50 vs 1.00, p=0.005). In addition, DLCo% improved significantly in RA-PDF-non-UIP subgroup, compared with RA-PDF-UIP pts (10.40 vs -4.45, p=0.017).According to whether the baseline FVC% and DLCo% value was less than 70%, the improvement of FVC% was significantly higher in PFD treatment group than no-PFD pts of SSc and IIM with baseline High-FVC%(6.60 vs 0.10, p=0.047),(6.30 vs 1.10, p= 0.089).In RA-PFD pts, DLCo% showed a significant increase in baseline DLCo% less than 70% subgroup, compared to RA-no-PDF (7.40% vs -6.60%, p=0.011).The basic IS were considerable between PFD andno-PFD pts throughout the study and no differences of GS and IS dosages at baseline and follow up among all subgroups.Multiple linear regression analysis found that baseline FVC%<70%(HR=4.56,6.81) and prescription of PFD(HR=4.56,4.37) could positively affect the changes of FVC% and DLCo% (all p<0.05).ConclusionThe response of pulmonary function to PFD were varied in different CTD-ILD subsets. SSc and IIM pts acquired obviously improvement on FVC%, especially with high baseline FVC group. DLco% elevated in RA-PFD, highlight those baseline Low-DLco and No-UIP pts.AcknowledgementsFunded by ECCM Program of Clinical Research Center of Shandong University (No. 2021SDUCRCB010)Disclosure of InterestsNone declared
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Wong YJ, Li J, Chen Z, Liu C, Qi X. Reply: CHESS-ALARM score: Can it raise the alarm accurately? J Gastroenterol Hepatol 2022; 37:1169. [PMID: 35434833 DOI: 10.1111/jgh.15863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 02/05/2023]
Affiliation(s)
- Y J Wong
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore.,Duke-NUS Academic Medical Program, SingHealth, Singapore
| | - J Li
- Department of Gastroenterology and Hepatology, Tianjin Second People's Hospital, Tianjin, China
| | - Z Chen
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - C Liu
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
| | - X Qi
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
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Fen P, Hong Z, Qi X. W061 Outbreak of NDM-5 producing carbapenem-resistant klebsiella aerogenes among neonates. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Qi X, Hatami S, Bozso S, Khan M, Forgie K, Wang X, Haromy A, Sutendra G, Michelakis E, Nagendran J, Freed D. The Pleiotropic Effects of Oxygen-Derived Free-Radical Scavengers on the Graft During Normothermic Ex Situ Heart Perfusion. J Heart Lung Transplant 2022. [DOI: 10.1016/j.healun.2022.01.227] [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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Liu L, Cheng B, Ye J, Qi X, Cheng S, Meng P, Chen Y, Yang X, Yao Y, Zhang H, Zhang Z, Zhang J, Li C, Pan C, Wen Y, Jia Y, Zhang F. Understanding the Complex Interactions between Coffee, Tea Intake and Neurologically Relevant Tissues Proteins in the Development of Anxiety and Depression. J Nutr Health Aging 2022; 26:1070-1077. [PMID: 36519770 DOI: 10.1007/s12603-022-1869-6] [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] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Coffee and tea intake might be associated with psychiatry diseases. However, it is unclear whether the effect of coffee/tea on anxiety and depression depending on the different types of proteins. DESIGN This was a cross-sectional study. SETTING Our datasets were downloaded from online. PARTICIPANTS Phenotypic and genotypic data for coffee intake(N=376,196) and tea intake (N=376,078) were derived from UK Biobank. GWAS data of proteins (N=1,537) from neurologically relevant tissues (brain, cerebrospinal fluid (CSF) and plasma) were obtained from a recently published study. MEASUREMENTS Multivariate linear analysis was then used to evaluate the potential interaction effect between coffee/tea intake and proteins polygenetic risk score (PRS) on the risks of anxiety and depression controlling for age, sex, Townsend deprivation index (TDI), smoke, drinking and education level. RESULTS 34 coffee intake-proteins interactions and 15 tea intake-proteins interactions were observed in anxiety individuals, such as coffee intake-c-Jun interaction (β=0.0169, P=4.131×10-3), coffee intake-Fas interaction (β=-0.0190, P=8.132×10-4), tea intake-sL-Selectin interaction (β=0.0112, P=5.412×10-3) and tea intake-IL-1F6 (β=0.0083, P=4.471×10-2). 25 coffee intake-proteins and 14 tea intake-proteins interactions were observed in depression individuals, including coffee intake- IL-1 sRI (β=0.0171, P=4.888×10-3) and coffee intake-NXPH1 interaction (β=0.0156, P=9.819×10-3), tea intake-COLEC12 interaction (β=0.0127, P=3.280×10-3), and tea intake-Layilin interaction (β=0.0117, P=7.926×10-3). CONCLUSIONS Our results suggested the important role of multiple proteins in neurologically relevant tissues in the associations between coffee/tea intake and psychiatry diseases, providing entry points to explore the mechanisms underlying anxiety and depression.
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Affiliation(s)
- L Liu
- Feng Zhang, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P. R. China 710061,
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Jiao Y, Qi X, Han TL, Gao Y, Zhang Y, Zhao JH, Sun LL. [Study on the genetic characteristics of enteric viral pathogens of sporadic adult diarrhea in Chaoyang district, Beijing in 2019]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1404-1409. [PMID: 34963236 DOI: 10.3760/cma.j.cn112150-20210224-00182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To analyze the distribution and genetic characteristics of sporadic adult diarrhea virus in Chaoyang District, Beijing. Methods: Fecal samples from 177 adult patients with sporadic diarrhea were collected from 4 enteric outpatient clinics in Chaoyang District, Beijing from May to December 2019. Nucleic acid detection of Norovirus, Sappovirus, Rotavirus, Enteric Adenovirus and Astrovirus in the samples was performed by real-time quantitative PCR. The positive samples were amplified by RT-PCR/PCR and sequenced. The phylogenetic analysis was performed by neighbor-Joining (NJ) methods of Mega 6.0 software. Results: There were 60 of 177 (33.90%) adult sporadic diarrhea samples positive for enteric viral pathogens. Among them, 47 cases were infected with single virus, including 29 cases of Norovirus, 9 cases of Sappovirus, 8 cases of Astrovirus and 1 case of Enteric Adenovirus, in addition with 13 cases of multiple infections. None of rotavirus was detected. Partial sequences were successfully obtained for analysis, including 16 cases of GI Norovirus (7 subtypes and GI.3[P13] predominant), 10 cases of GII Norovirus (5 subtypes and GII.6[P7] predominant), 12 cases of Sappovirus (4 subtypes and GI.2 predominant), and 7 cases of Astrovirus (2 subtypes and AST-1 predominant). Conclusion: Norovirus, Astrovirus and Sappovirus are main pathogens among sporadic adult diarrhea in Beijing in 2019, and and different pathogenic gene subtypes show diverse characteristics.
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Affiliation(s)
- Y Jiao
- Department of Microbiological Inspection, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
| | - X Qi
- Department of Infectious Diseases and Endemic Diseases Preventiou, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
| | - T L Han
- Department of Microbiological Inspection, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
| | - Y Gao
- Department of Microbiological Inspection, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
| | - Y Zhang
- Department of Infectious Diseases and Endemic Diseases Preventiou, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
| | - J H Zhao
- Department of Microbiological Inspection, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
| | - L L Sun
- Department of Microbiological Inspection, Beijing Chaoyang District Centre for Disease Control and Prevention, Beijing 100021, China
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Li V, Wang Z, Yu V, Dams R, Philipson R, Lee P, Kishan A, Lee A, Qi X. Multivariate Model for Predicting Overall Survival in Malignant Pleural Mesothelioma After Adjuvant Radiotherapy. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.565] [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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Qi X, Gao X. Radiotherapy of the Primary Tumor and All Metastatic Lesions in Synchronous Oligometastatic Prostate Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.924] [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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Wang YH, Xu ZH, Zhou YH, Sun SL, Xu ZW, Qi X, Zhou WJ, Sheng HQ, Zhao B, Mao EQ. The clinical characteristic of biliary-hyperlipidemic etiologically complex type of acute pancreatitis: a retrospective study from a tertiary center in China. Eur Rev Med Pharmacol Sci 2021; 25:1462-1471. [PMID: 33629316 DOI: 10.26355/eurrev_202102_24854] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Biliary and hyperlipidemic acute pancreatitis (AP) has become the second most common AP in China. Currently, AP is exclusively diagnosed as biliary or hyperlipidemic AP. However, as suggested by some reports, biliary and hyperlipidemic AP might coexist in a single patient. Moreover, acute lipotoxicity was shown to regulate the severity of biliary AP in the mouse model. Thus, whether these two etiologies coexist in AP patients and potentially worsen the clinical course remains unclear. To elucidate the clinical feature of a new complex type of acute pancreatitis with both biliary and hyperlipidemic etiologies. PATIENTS AND METHODS This retrospective study included AP patients who were admitted into our department within 7 days after the onset of the disease. 267 AP patients were enrolled in this study and were classified as BAP (biliary acute pancreatitis, n=153), HLAP (hyperlipidemic acute pancreatitis, n=65) and BHAP (biliary-hyperlipidemic acute pancreatitis, n=49). All the enrolled patients met the classification criteria of biliary etiology, hyperlipidemic etiology, and both etiologies, respectively. BHAP was compared with BAP and HLAP in terms of general information, inflammatory biomarkers, organ dysfunction, disease severity and clinical outcomes. RESULTS BHAP (41 vs. 53) patients were younger than BAP patients. Serum procalcitonin of BHAP patients was higher than BAP and HLAP patients. Serum CRP of BHAP patients was higher than BAP patients. BHAP patients had the highest diagnosis rate of severe acute pancreatitis (SAP) (46.9% vs. 17.6% or 21.5%) compared to BAP and HLAP. Prevalences of persistent respiratory, acute renal, and circulatory failure were highest in BHAP patients (44.9%, 28.6%, 12.2%, respectively). Requirements for mechanical ventilation, renal replacement therapy and vasoactive agents were also highest in BHAP patients (36.7%, 34.7%, 12.2%, respectively). Hospital stay was longer in BHAP patients (33 days) compared with BAP patients (24 days). CONCLUSIONS Patients with both biliary and hyperlipidemic etiologies suffer from more severe clinical course of the disease and have worse prognosis than single-etiology BAP or HLAP patients in the early stage of AP (within 7 days). It should be recognized as a new etiological type named biliary-hyperlipidemic acute pancreatitis (BHAP).
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Affiliation(s)
- Y-H Wang
- Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Wang J, Bai Y, Zeng Z, Wang J, Wang P, Zhao Y, Xu W, Zhu Y, Qi X. Association between cigarette smoking and metabolic syndrome: A discovery-replication strategy. Ann Epidemiol 2021. [DOI: 10.1016/j.annepidem.2021.05.027] [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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Bai Y, Wang J, Wang J, Wang P, Zhao Y, Xu W, Zhu Y, Qi X. Cigarette smoking and mildly decreased renal function among Chinese males. Ann Epidemiol 2021. [DOI: 10.1016/j.annepidem.2021.05.021] [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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Li X, Wang S, Sun Z, Yang W, Qi X, Xu W. Association of reproductive duration with mortality: a population-based twin study. Ann Epidemiol 2021. [DOI: 10.1016/j.annepidem.2021.05.013] [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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