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Wu T, Ge J, Wu Q, Ren X, Meng F, Wang J, Xi S, Wang X, Elouarzaki K, Fisher A, Xu ZJ. Tailoring atomic chemistry to refine reaction pathway for the most enhancement by magnetization in water oxidation. Proc Natl Acad Sci U S A 2024; 121:e2318652121. [PMID: 38687781 DOI: 10.1073/pnas.2318652121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 03/22/2024] [Indexed: 05/02/2024] Open
Abstract
Water oxidation on magnetic catalysts has generated significant interest due to the spin-polarization effect. Recent studies have revealed that the disappearance of magnetic domain wall upon magnetization is responsible for the observed oxygen evolution reaction (OER) enhancement. However, an atomic picture of the reaction pathway remains unclear, i.e., which reaction pathway benefits most from spin-polarization, the adsorbent evolution mechanism, the intermolecular mechanism (I2M), the lattice oxygen-mediated one, or more? Here, using three model catalysts with distinguished atomic chemistries of active sites, we are able to reveal the atomic-level mechanism. We found that spin-polarized OER mainly occurs at interconnected active sites, which favors direct coupling of neighboring ligand oxygens (I2M). Furthermore, our study reveals the crucial role of lattice oxygen participation in spin-polarized OER, significantly facilitating the coupling kinetics of neighboring oxygen radicals at active sites.
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Affiliation(s)
- Tianze Wu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Jingjie Ge
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Qian Wu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Xiao Ren
- Beijing National Laboratory for Molecular Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Fanxu Meng
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Jiarui Wang
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shibo Xi
- Institute of Sustainability for Chemicals, Energy and Environment, Agency for Science, Technology and Research, Singapore 627833, Singapore
| | - Xin Wang
- Department of Chemistry, City University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Kamal Elouarzaki
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Center for Advanced Catalysis Science and Technology, Nanyang Technological University, Singapore 639798, Singapore
| | - Adrian Fisher
- Department of Chemical Engineering, University of Cambridge, Cambridge CB2 3RA, United Kingdom
- The Cambridge Centre for Advanced Research and Education in Singapore, Singapore 138602, Singapore
| | - Zhichuan J Xu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Center for Advanced Catalysis Science and Technology, Nanyang Technological University, Singapore 639798, Singapore
- The Cambridge Centre for Advanced Research and Education in Singapore, Singapore 138602, Singapore
- Energy Research Institute @Nanyang Technological University, Interdisciplinary Graduate School, Nanyang Technological University, Singapore 639798, Singapore
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Lu J, Ge J, Yu H, Zhao G, Chen X. Colocalization of Increased Midbrain Signals in Neuroinflammation and Tau PET Imaging Suggests the Diagnosis of Progressive Supranuclear Palsy. Clin Nucl Med 2024; 49:346-347. [PMID: 38271226 DOI: 10.1097/rlu.0000000000005062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
ABSTRACT Clinical overlap with multiple other neurological diseases makes the diagnosis of autoimmune encephalitis challenging; consequently, a broad range of neurological diseases are misdiagnosed as autoimmune encephalitis. A 58-year-old man presented with abnormal behavior, irritability for 3 years, oculomotor disturbance, unsteady walking, and dysphagia and was suspected as having anti-dipeptidyl-peptidase-like protein 6 (DPPX) encephalitis as the anti-DPPX antibody was positive in the serum. However, the therapeutic effect of immunotherapy was unsatisfactory. Subsequently, colocalization of increased midbrain signals was observed in neuroinflammation PET using [ 18 F]DPA-714 and in tau PET using [ 18 F]florzolotau, suggesting the diagnosis of progressive supranuclear palsy.
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Shen WJ, Lu YX, Niu K, Zhang YH, Wang WY, Zhao Y, Ge J, Zhang XL. [Lower urinary tract injury in transvaginal reconstructive pelvic surgery]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:130-134. [PMID: 38389232 DOI: 10.3760/cma.j.cn112141-20231119-00206] [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: 02/24/2024]
Abstract
Objective: To explore the characteristics, prevention and treatment strategies of lower urinary tract injury in transvaginal reconstructive pelvic surgery (vRPS). Methods: A retrospective analysis was conducted on 24 patients who suffered lower urinary tract injuries occuring in vRPS from January 2005 to June 2021, among which 4 cases were referred to our hospital from other hospitals. Results: (1) In our hospital, 1 952 patients underwent vRPS for anterior and (or) middle pelvic organ prolapse during that study period, with a 1.0% (20/1 952) incidence of lower urinary tract injuries occurring in 20 cases. (2) Ureteral injuries were observed in 14 cases who underwent transvaginal high uterosacral ligament suspension (1.4%, 14/966). The symptoms were relieved after the removal of sutures. (3) Bladder injuries occurred in 6 cases in our hospital, with 4 cases (0.7%, 4/576) in anterior transvaginal mesh surgery (aTVM), one (0.4%, 1/260) in colpocleisis, and one (0.7%, 1/150) in apical suspension for fornix prolapse. An additional 4 cases of bladder injury were referred to our hospital after aTVM. Among the 8 cases of bladder injury during aTVM, 2 cases were intraoperative incidents. Cystoscopy confirmed that the superficial branch or puncture rod of anterior vaginal mesh had penetrated into the bladder. Re-puncturing and placement of the mesh were successfully performed. No abnormalities were observed during a follow-up period of 4-5 years. Postoperative bladder injuries were identified in 6 cases, characterized by mesh erosion into the bladder and formation of calculi. These injuries were confirmed between 6 months to 2 years after vRPS. The exposed mesh and calculi in the bladder were removed through laparotomy or cystoscopy, followed up for 2-12 years. One case experienced slight re-erosion of mesh to the bladder. Conclusions: Lower urinary tract injuries are difficult to avoid in vRPS, particularly in transvaginal high uterosacral ligament suspension and aTVM. However, the incidence is low. Lower urinary tract injuries during vRPS could be easily detected and managed intraoperatively because of the use of cystoscopy. As long-term postoperative complications, erosion of transvaginal mesh to lower urinary tract postoperatively could be treated correctly, seldom with severe sequelae.
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Affiliation(s)
- W J Shen
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - Y X Lu
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - K Niu
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - Y H Zhang
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - W Y Wang
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - Y Zhao
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - J Ge
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - X L Zhang
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
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Wu C, Ge J, Lin D. [Practice and development of schistosomiasis control culture in China: A case of Jiangxi Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:641-645. [PMID: 38413027 DOI: 10.16250/j.32.1374.2023165] [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] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Schistosomiasis control is not only a disease control programme, but also a great social practice activity in China. During the evolution of national schistosomiasis control programmes, the special schistosomiasis control culture has been cultivated and developed, which contains the spiritual connotation of government-led, people-oriented, respect for science and integration of all efforts. The publication of Chairman Mao Zedong's two poems entitled "Farewell to the God of Plague" and the post-script in 1958 was a sign for the formation and development of Chinese schistosomiasis control culture, which always lead the orientation of development and practice of schistosomiasis control culture building. The schistosomiasis control culture provides powerful spiritual motivation and supports to schistosomiasis control programmes in China, and improving the building of schistosomiasis control culture is of great significance to strengthen our belief in achieving the goal of schistosomiasis elimination, mobilize all social resources, accelerate the progress towards elimination of schistosomiasis and facilitate the high-quality development of healthcare services. Chinese schistosomiasis control spirit is the refinement from the cultural connotation of the long-term schistosomiasis control programmes in China, and is the most essential and concentrated embodiment of the schistosomiasis control culture. This article describes the great significance of two poems entitled "Farewell to the God of Plague", summarizes the connotation and role of schistosomiasis control spirit, and introduces the practice, development and innovation of schistosomiasis control culture building in Jiangxi Province.
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Affiliation(s)
- C Wu
- Jiangxi Provincial Institute of Parasitic Diseases, Nanchang, Jiangxi 330096, China
| | - J Ge
- Jiangxi Provincial Institute of Parasitic Diseases, Nanchang, Jiangxi 330096, China
| | - D Lin
- Jiangxi Provincial Institute of Parasitic Diseases, Nanchang, Jiangxi 330096, China
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Wang J, Xue L, Jiang J, Liu F, Wu P, Lu J, Zhang H, Bao W, Xu Q, Ju Z, Chen L, Jiao F, Lin H, Ge J, Zuo C, Tian M. Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis. NPJ Digit Med 2024; 7:17. [PMID: 38253738 PMCID: PMC10803804 DOI: 10.1038/s41746-024-01012-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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Artificial intelligence (AI)-assisted PET imaging is emerging as a promising tool for the diagnosis of Parkinson's disease (PD). We aim to systematically review the diagnostic accuracy of AI-assisted PET in detecting PD. The Ovid MEDLINE, Ovid Embase, Web of Science, and IEEE Xplore databases were systematically searched for related studies that developed an AI algorithm in PET imaging for diagnostic performance from PD and were published by August 17, 2023. Binary diagnostic accuracy data were extracted for meta-analysis to derive outcomes of interest: area under the curve (AUC). 23 eligible studies provided sufficient data to construct contingency tables that allowed the calculation of diagnostic accuracy. Specifically, 11 studies were identified that distinguished PD from normal control, with a pooled AUC of 0.96 (95% CI: 0.94-0.97) for presynaptic dopamine (DA) and 0.90 (95% CI: 0.87-0.93) for glucose metabolism (18F-FDG). 13 studies were identified that distinguished PD from the atypical parkinsonism (AP), with a pooled AUC of 0.93 (95% CI: 0.91 - 0.95) for presynaptic DA, 0.79 (95% CI: 0.75-0.82) for postsynaptic DA, and 0.97 (95% CI: 0.96-0.99) for 18F-FDG. Acceptable diagnostic performance of PD with AI algorithms-assisted PET imaging was highlighted across the subgroups. More rigorous reporting standards that take into account the unique challenges of AI research could improve future studies.
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Affiliation(s)
- Jing Wang
- Huashan Hospital & Human Phenome Institute, Fudan University, Shanghai, China
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Le Xue
- Department of Nuclear Medicine, the Second Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jiehui Jiang
- Institute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai, China
| | - Fengtao Liu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiaying Lu
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Huiwei Zhang
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Weiqi Bao
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qian Xu
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Zizhao Ju
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Chen
- Department of Ultrasound Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Fangyang Jiao
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Huamei Lin
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China.
| | - Chuantao Zuo
- Huashan Hospital & Human Phenome Institute, Fudan University, Shanghai, China.
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine, & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
| | - Mei Tian
- Huashan Hospital & Human Phenome Institute, Fudan University, Shanghai, China.
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China.
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Liu J, Lyu Y, He Y, Ge J, Zou W, Liu S, Yang H, Li J, Jiang K. Competing risk nomogram and risk classification system for evaluating overall and cancer-specific survival in neuroendocrine carcinoma of the cervix: a population-based retrospective study. J Endocrinol Invest 2024:10.1007/s40618-023-02261-7. [PMID: 38170396 DOI: 10.1007/s40618-023-02261-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/25/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVE Neuroendocrine carcinoma of the cervix (NECC) is a rare malignancy with poor clinical prognosis due to limited therapeutic options. This study aimed to establish a risk-stratification score and nomogram models to predict prognosis in NECC patients. METHODS Data on individuals diagnosed with NECC between 2000 and 2019 were retrieved from the Surveillance Epidemiology and End Results (SEER) database and then randomly classified into training and validation cohorts (7:3). Univariate and multivariate Cox regression analyses evaluated independent indicators of prognosis. Least absolute shrinkage and selection operator (LASSO) regression analysis further assisted in confirming candidate variables. Based on these factors, cancer-specific survival (CSS) and overall survival (OS) nomograms that predict survival over 1, 3, and 5 years were constructed. The receiver operating characteristic (ROC) curve, the concordance index (C-index), and the calibration curve estimated the precision and discriminability of the competing risk nomogram for both cohorts. Finally, we assessed the clinical value of the nomograms using decision curve analysis (DCA). RESULTS Data from 2348 patients were obtained from the SEER database. Age, tumor stage, T stage, N stage, chemotherapy, radiotherapy, and surgery predicted OS. Additionally, histological type was another standalone indicator of CSS prognosis. For predicting CSS, the C-index was 0.751 (95% CI 0.731 ~ 0.770) and 0.740 (95% CI 0.710 ~ 0.770) for the training and validation cohorts, respectively. Furthermore, the C-index in OS prediction was 0.757 (95% CI 0.738 ~ 0.776) and 0.747 (95% CI 0.718 ~ 0.776) for both cohorts. The proposed model had an excellent discriminative ability. Good accuracy and discriminability were also demonstrated using the AUC and calibration curves. Additionally, DCA demonstrated the high clinical potential of the nomograms for CSS and OS prediction. We constructed a corresponding risk classification system using nomogram scores. For the whole cohort, the median CSS times for the low-, moderate-, and high-risk groups were 59.3, 19.5, and 7.4 months, respectively. CONCLUSION New competing risk nomograms and a risk classification system were successfully developed to predict the 1-, 3-, and 5-year CSS and OS of NECC patients. The models are internally accurate and reliable and may guide clinicians toward better clinical decisions and the development of personalized treatment plans.
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Affiliation(s)
- J Liu
- School of Basic Medical Sciences, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Y Lyu
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Y He
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - J Ge
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - W Zou
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - S Liu
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - H Yang
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - J Li
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
| | - K Jiang
- Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, China.
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Wang WQ, Ge J, Ma HH, Lian HY, Cui L, Zhang L, Li ZG, Wang TY, Zhang R. [Efficacy and safety of intermediate-dose cytarabine in the treatment of children with refractory high risk Langerhans cell histiocytosis]. Zhonghua Er Ke Za Zhi 2023; 61:1118-1123. [PMID: 38018049 DOI: 10.3760/cma.j.cn112140-20230928-00231] [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: 11/30/2023]
Abstract
Objective: To analyze the efficacy, safety, and long-term prognosis of intermediate-dose cytarabine (Ara-c) regimen in the treatment of children with refractory risk organ involvement Langerhans cell histiocytosis (LCH). Methods: Clinical data of 17 children with multisystem and risk organ involvement LCH who failed the first-line therapy and were treated with intermediate-dose Ara-c (250 mg/m2, twice daily) regimen in the Hematology Center, Beijing Children's Hospital from January 2013 to December 2016 were analyzed retrospectively. In addition to the basic treatment of vindesine and dexamethasone, the patients received two regimens: regimen A: the intermediate-dose Ara-c combined with cladribine and regimen B: the intermediate-dose Ara-c alone. The efficacy, safety and prognosis of the two regimens were analyzed. Results: Among all 17 patients, there were 11 males and 6 females, with the diagnosis age of 2.1 (1.6, 2.7) years. Ten children received regimen A, all of them achieved active disease-better (AD-B) after 8 courses of induction therapy. The disease activity scores (DAS) decreased from 5.5 (3.0, 9.0) to 1.0 (0, 2.3). Seven children received regimen B, and 6 of them achieved AD-B after 8 courses of induction therapy. The DAS decreased from 4.0 (2.0, 4.0) to 1.0 (0, 2.0). The follow-up time was 6.2 (4.9,7.2) and 5.2 (3.7,5.8) years in group A and B. The 5-year overall survival rate was 100.0% in both groups, and the 5-year event free survival rate was (88.9±10.5)% and (85.7±13.2)% in group A and B. Grade 3 or 4 myelosuppression was observed in 8 patients in group A and 2 patients in group B. Conclusions: The intermediate-dose Ara-c regimen (with or without cladribine) is effective and safe for patients with refractory high-risk LCH, with a good long-term prognosis.
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Affiliation(s)
- W Q Wang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - J Ge
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - H H Ma
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - H Y Lian
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - L Cui
- Laboratory of Hematologic Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - L Zhang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - Z G Li
- Laboratory of Hematologic Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - T Y Wang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
| | - R Zhang
- Hematology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
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Feng S, Ge J, Zhao S, Xu Q, Lin H, Li X, Wu J, Guan Y, Zhang T, Zhao S, Zuo C, Shan B, Wu P, Nie B, Yu H, Shi K. Dopaminergic damage pattern predicts phenoconversion time in isolated rapid eye movement sleep behavior disorder. Eur J Nucl Med Mol Imaging 2023; 51:159-167. [PMID: 37668706 DOI: 10.1007/s00259-023-06402-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/15/2023] [Indexed: 09/06/2023]
Abstract
PURPOSE The exact phenoconversion time from isolated rapid eye movement (REM) sleep behavior disorder (iRBD) to synucleinopathies remains unpredictable. This study investigated whole-brain dopaminergic damage pattern (DDP) with disease progression and predicted phenoconversion time in individual patients. METHODS Age-matched 33 iRBD patients and 20 healthy controls with 11C-CFT-PET scans were enrolled. The patients were followed up 2-10 (6.7 ± 2.0) years. The phenoconversion year was defined as the base year, and every 2 years before conversion was defined as a stage. Support vector machine with leave-one-out cross-validation strategy was used to perform prediction. RESULTS Dopaminergic degeneration of iRBD was found to occur about 6 years before conversion and then abnormal brain regions gradually expanded. Using DDP, area under curve (AUC) was 0.879 (90% sensitivity and 88.3% specificity) for predicting conversion in 0-2 years, 0.807 (72.7% sensitivity and 83.3% specificity) in 2-4 years, 0.940 (100% sensitivity and 84.6% specificity) in 4-6 years, and 0.879 (100% sensitivity and 80.7% specificity) over 6 years. In individual patients, predicted stages correlated with whole-brain dopaminergic levels (r = - 0.740, p < 0.001). CONCLUSION Our findings suggest that DDP could accurately predict phenoconversion time of individual iRBD patients, which may help to screen patients for early intervention.
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Affiliation(s)
- Shuang Feng
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Physics, Zhengzhou University, Zhengzhou, China
| | - Jingjie Ge
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Shujun Zhao
- School of Physics, Zhengzhou University, Zhengzhou, China
| | - Qian Xu
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Huamei Lin
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Xiuming Li
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Jianjun Wu
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yihui Guan
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Tianhao Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China
| | - Shilun Zhao
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China
| | - Chuantao Zuo
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Baoci Shan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China.
| | - Ping Wu
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China.
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China.
| | - Huan Yu
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China.
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Computer Aided Medical Procedures, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
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9
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Tan J, Ge J, Sahaer P, Li H, Sun H. Identification and functional analysis of circRIPK2 in lipopolysaccharide induced chicken macrophages. Br Poult Sci 2023; 64:678-687. [PMID: 37735991 DOI: 10.1080/00071668.2023.2261870] [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: 06/12/2023] [Accepted: 08/21/2023] [Indexed: 09/23/2023]
Abstract
1. It was hypothesised that a circular RIPK2 (circRIPK2) highly expressed in chicken macrophages plays an important role during bacterial infection.2. After PCR amplification, Sanger sequencing and RNase R exonuclease treatment of chicken macrophages, it was found that circRIPK2 was a stable circular RNA, which was formed by reverse splicing of exons 4 to 9 of the RIPK2.3. The circRIPK2 can promote the lipopolysaccharide (LPS) induced cellular injury by reducing cell viability and increasing the expression of pro-inflammatory cytokines and apoptosis genes.4. Six miRNAs were identified as interacting with circRIPK2, potentially targeting 1,817 genes, which were significantly enriched in the Wnt signalling pathway, adherens junction and NOD-like receptor signalling pathway.5. This study provides better understanding of the function of circRIPK2, which may prove a potential biomarker and indicate potential targets for the treatment of bacterial infection.
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Affiliation(s)
- J Tan
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - J Ge
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - P Sahaer
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - H Li
- School of Biological and Chemical Engineering, Yangzhou Polytechnic College, Yangzhou, China
| | - H Sun
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
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10
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Harrington KJ, Cohen EEW, Soulières D, Dinis J, Licitra L, Ahn MJ, Soria A, Machiels JP, Mach N, Mehra R, Burtness B, Swaby RF, Lin J, Ge J, Lerman N, Tourneau CL. Pembrolizumab versus methotrexate, docetaxel, or cetuximab in recurrent or metastatic head and neck squamous cell carcinoma (KEYNOTE-040): Subgroup analysis by pattern of disease recurrence. Oral Oncol 2023; 147:106587. [PMID: 37925894 DOI: 10.1016/j.oraloncology.2023.106587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 09/29/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND In the phase 3 KEYNOTE-040 study, pembrolizumab prolonged OS versus chemotherapy in previously treated recurrent or metastatic (R/M) HNSCC. We present a post hoc subgroup analysis by disease recurrence pattern: recurrent-only, recurrent and metastatic (recurrent-metastatic), and metastatic-only HNSCC. MATERIALS AND METHODS Patients had HNSCC that progressed during or after platinum-containing treatment for R/M disease or had recurrence or progression within 3-6 months of previous platinum-containing definitive therapy for locally advanced disease. Patients were randomly assigned (1:1) to pembrolizumab 200 mg Q3W or investigator's choice of standards of care (SOC): methotrexate, docetaxel, or cetuximab. Outcomes included OS, PFS, ORR, and DOR. The data cutoff was May 15, 2017. RESULTS There were 125 patients (pembrolizumab, 53; SOC, 72) in the recurrent-only subgroup, 204 in the recurrent-metastatic subgroup (pembrolizumab, 108; SOC, 96), and 166 in the metastatic-only subgroup (pembrolizumab, 86; SOC, 80). The hazard ratio (95% CI) for death for pembrolizumab versus SOC was 0.83 (0.55-1.25) in the recurrent-only, 0.78 (0.58-1.06) in the recurrent-metastatic, and 0.74 (0.52-1.05) in the metastatic-only subgroups. PFS was similar between treatment arms in all subgroups. ORR was 22.6% for pembrolizumab versus 16.7% for SOC in the recurrent-only, 10.2% versus 6.3% in the recurrent-metastatic, and 15.1% versus 8.8% in the metastatic-only subgroups. DOR was numerically longer with pembrolizumab in all subgroups. CONCLUSION Pembrolizumab provided numerically longer OS and durable responses in all subgroups compared with SOC, suggesting that patients with previously treated R/M HNSCC benefit from pembrolizumab regardless of recurrence pattern.
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Affiliation(s)
- K J Harrington
- 105 Cotswold Road, Division of Radiotherapy and Imaging, The Institute of Cancer Research/The Royal Marsden NHS Foundation Trust National Institute of Health Research Biomedical Research Centre, London SM2 5NG, United Kingdom.
| | - E E W Cohen
- 3855 Health Sciences Dr, Department of Medical Oncology, Moores Cancer Center, UC San Diego Health, La Jolla, CA 92093, United States.
| | - D Soulières
- 1560, rue Sherbrooke estx, Department of Hematology and Oncology, Centre Hospitalier de l'Université de Montréal, Montreal, QC H2L 4MN, Canada.
| | - J Dinis
- R Dr. Antonio Bernardino de Almeida Medicina Oncologica Unidade de Investigacao Clinica, Department of Medical Oncology, Instituto Português de Oncologia do Porto Francisco Gentil, 4200-072 Porto, Portugal.
| | - L Licitra
- Via Giacomo Venezian, 1, Department of Head and Neck Cancer, Fondazione IRCCS Istituto Nazionale dei Tumori and University of Milan, 20133 Milan, Italy
| | - M-J Ahn
- 81 Irwon-Ro Gangnam, Department of Hematology & Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea
| | - A Soria
- Ctra. de Colmenar Viejo km. 9,100, Department of Medical Oncology, Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain
| | - J-P Machiels
- Avenue Hippocrate 10, Department of Medical Oncology, Institut Roi Albert II, Cliniques Universitaires Saint-Luc and Institut de Recherche Clinique et Expérimentale, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium
| | - N Mach
- Rue Gabrielle-Perret-Gentil 4, Clinical Research Unit, Department of Oncology, Hôpitaux Universitaires de Genève, 1205 Geneva, Switzerland
| | - R Mehra
- 22 South Greene Street, Department of Head and Neck Medical Oncology, Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD 21201, United States
| | - B Burtness
- 25 York Street PO Box 208028, Yale Cancer Center and Department of Medicine, Yale University School of Medicine, New Haven, CT 06510, United States
| | - R F Swaby
- 90 E Scott Ave, Merck & Co., Inc., Rahway, NJ 07065, United States
| | - J Lin
- 90 E Scott Ave, Merck & Co., Inc., Rahway, NJ 07065, United States
| | - J Ge
- 90 E Scott Ave, Merck & Co., Inc., Rahway, NJ 07065, United States
| | - N Lerman
- 90 E Scott Ave, Merck & Co., Inc., Rahway, NJ 07065, United States
| | - C Le Tourneau
- 26 rue d'Ulm, Department of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, 75005 Paris, France
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11
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Mu J, Zhou X, Xing Y, Zhang M, Zhang J, Li F, Ge J, Zhao M, Liu L, Gong D, Geng T. Thyroid hormone-responsive protein mediates the response of chicken liver to fasting mainly through the cytokine-cytokine receptor interaction pathway. Br Poult Sci 2023; 64:733-744. [PMID: 37565565 DOI: 10.1080/00071668.2023.2246135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/02/2023] [Accepted: 07/10/2023] [Indexed: 08/12/2023]
Abstract
1. The objective of this study was to explore the mediating role of thyroid hormone-responsive protein (THRSP) in the response of chicken liver to fasting.2. A batch of 7-d-old chicks with similar body weights were randomly divided into the control group and the fasting group (n = 10). The control group was fed ad libitum, while the test group fasted for 24 h. The liver and pectoral muscle tissues were collected. Chicken primary hepatocytes or myocytes were treated with different concentrations of thyroxine, glucose, insulin, oleic acid and palmitic acid, separately. Chicken primary hepatocytes were transfected with THRSP overexpression vector vs. empty vector, and the cells were used for transcriptome analysis. The mRNA expression of THRSP and other genes was determined by quantitative PCR.3. The expression of THRSP in chicken liver and pectoral muscle tissues was significantly inhibited by fasting (P < 0.05). In chicken primary hepatocytes, the expression of THRSP was significantly induced by thyroxine (0.25, 0.5, 1 mmol/l), glucose (50, 100 mmol/l), and insulin (20 nmol/l), and was significantly inhibited by palmitic acid (0.125, 0.25 mmol/l). In the myocytes, expression of THRSP was significantly induced by thyroxine (0.25, 0.5, 1 mmol/l), glucose (50 mmol/l) and oleic acid (0.125, 0.25 mmol/l), was significantly inhibited by insulin (5 nmol/l) and was not significantly affected by palmitic acid.4. Transcriptome analysis showed that overexpression of THRSP significantly affected the expression of 1411 DEGs, of which 1007 were up-regulated and 404 were down-regulated. The GO term and KEGG pathway enrichment analyses showed that these DEGs were mainly enriched in the interaction between cytokine and cytokine receptor and its regulation and signal transduction, cell growth and apoptosis and its regulation, immune response and retinol metabolism.5. In conclusion, the THRSP gene mediates biological effects of fasting by influencing the expressional regulation of the genes related to biological processes such as cytokine-cytokine receptor interaction, cell growth and apoptosis, immune response, retinol metabolism, including TGM2, HSD17B2, RUNX3, IRF1, ANKRD6, UPP2, IKBKE, and PYCR1 genes, in chicken liver.
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Affiliation(s)
- J Mu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - X Zhou
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Y Xing
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - M Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - J Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - F Li
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - J Ge
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - M Zhao
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - L Liu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - D Gong
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu, China
| | - T Geng
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu, China
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12
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Yun Q, Ge Y, Shi Z, Liu J, Wang X, Zhang A, Huang B, Yao Y, Luo Q, Zhai L, Ge J, Peng Y, Gong C, Zhao M, Qin Y, Ma C, Wang G, Wa Q, Zhou X, Li Z, Li S, Zhai W, Yang H, Ren Y, Wang Y, Li L, Ruan X, Wu Y, Chen B, Lu Q, Lai Z, He Q, Huang X, Chen Y, Zhang H. Recent Progress on Phase Engineering of Nanomaterials. Chem Rev 2023. [PMID: 37962496 DOI: 10.1021/acs.chemrev.3c00459] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
As a key structural parameter, phase depicts the arrangement of atoms in materials. Normally, a nanomaterial exists in its thermodynamically stable crystal phase. With the development of nanotechnology, nanomaterials with unconventional crystal phases, which rarely exist in their bulk counterparts, or amorphous phase have been prepared using carefully controlled reaction conditions. Together these methods are beginning to enable phase engineering of nanomaterials (PEN), i.e., the synthesis of nanomaterials with unconventional phases and the transformation between different phases, to obtain desired properties and functions. This Review summarizes the research progress in the field of PEN. First, we present representative strategies for the direct synthesis of unconventional phases and modulation of phase transformation in diverse kinds of nanomaterials. We cover the synthesis of nanomaterials ranging from metal nanostructures such as Au, Ag, Cu, Pd, and Ru, and their alloys; metal oxides, borides, and carbides; to transition metal dichalcogenides (TMDs) and 2D layered materials. We review synthesis and growth methods ranging from wet-chemical reduction and seed-mediated epitaxial growth to chemical vapor deposition (CVD), high pressure phase transformation, and electron and ion-beam irradiation. After that, we summarize the significant influence of phase on the various properties of unconventional-phase nanomaterials. We also discuss the potential applications of the developed unconventional-phase nanomaterials in different areas including catalysis, electrochemical energy storage (batteries and supercapacitors), solar cells, optoelectronics, and sensing. Finally, we discuss existing challenges and future research directions in PEN.
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Affiliation(s)
- Qinbai Yun
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
- Department of Chemical and Biological Engineering & Energy Institute, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yiyao Ge
- School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Zhenyu Shi
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Jiawei Liu
- Institute of Sustainability for Chemicals, Energy and Environment, Agency for Science, Technology and Research (A*STAR), Singapore, 627833, Singapore
| | - Xixi Wang
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - An Zhang
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Biao Huang
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
- Hong Kong Branch of National Precious Metals Material Engineering Research Center (NPMM), City University of Hong Kong, Hong Kong, China
| | - Yao Yao
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Qinxin Luo
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Li Zhai
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
- Hong Kong Branch of National Precious Metals Material Engineering Research Center (NPMM), City University of Hong Kong, Hong Kong, China
| | - Jingjie Ge
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR
| | - Yongwu Peng
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China
| | - Chengtao Gong
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China
| | - Meiting Zhao
- Institute of Molecular Aggregation Science, Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Tianjin University, Tianjin 300072, China
| | - Yutian Qin
- Institute of Molecular Aggregation Science, Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Tianjin University, Tianjin 300072, China
| | - Chen Ma
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Gang Wang
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Qingbo Wa
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Xichen Zhou
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Zijian Li
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Siyuan Li
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Wei Zhai
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Hua Yang
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Yi Ren
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Yongji Wang
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Lujing Li
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Xinyang Ruan
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Yuxuan Wu
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Bo Chen
- State Key Laboratory of Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, School of Chemistry and Life Sciences, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
| | - Qipeng Lu
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Zhuangchai Lai
- Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Qiyuan He
- Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Xiao Huang
- Institute of Advanced Materials (IAM), School of Flexible Electronics (SoFE), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (NanjingTech), Nanjing 211816, China
| | - Ye Chen
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Hua Zhang
- Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China
- Hong Kong Branch of National Precious Metals Material Engineering Research Center (NPMM), City University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China
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13
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Zhang Y, Ye X, Ge J, Guo D, Zheng D, Yu H, Chen Y, Yao G, Lu Z, Yuille A, Lu L, Jin D, Yan S. Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e498. [PMID: 37785566 DOI: 10.1016/j.ijrobp.2023.06.1739] [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 delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model. MATERIALS/METHODS We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance. RESULTS The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality. CONCLUSION We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.
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Affiliation(s)
- Y Zhang
- Johns Hopkins University, Baltimore, MD
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - A Yuille
- Johns Hopkins University, Baltimore, MD
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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14
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Wang P, Ge J, Zheng D, Zhu X, Liu J, Wu Y, Lu L, Yan S, Jin D, Ye X. Anatomy-Guided Deep Learning Model for Accurate and Robust Gross Tumor Volume Segmentation in Lung Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e71. [PMID: 37786077 DOI: 10.1016/j.ijrobp.2023.06.803] [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) In lung cancer radiation therapy, clinicians must outline the gross tumor volume (GTV) precisely on the planning computed tomography (pCT) for accurate radiation dose delivery. However, due to the limited contrast between tumor and normal tissues in lung parenchyma, accurate delineation of tumor boundaries is difficult leading to large inter-observer variation. In this study, we develop an anatomy-guided lung GTV deep segmentation model using a training cohort of multi-center datasets. The quantitative segmentation performance is evaluated on an independent dataset, where the inter-observer delineation variation is also assessed. MATERIALS/METHODS We collected and curated four publicly available lung datasets with GTV annotations (Lung-PET-CT-Dx, LIDC-IDRI, NSCLC-Radiogenomics and RIDER-CT) for deep learning model development. A total of 871 CT scans of patients, who were diagnosed with T1-T4 NSCLC, were available for training after data curation. The GTV annotations of primary tumor were examined and edited by two experienced radiation oncologists following the RTOG 1106 protocol. An anatomy-guided deep learning model was proposed, which consisted two deep networks. The first deep network used CT scan as input and segmented 4 anatomic organs (airway, heart, pulmonary artery and pulmonary vein), while the second deep network took both CT scan and these pre-segmented 4 organs as input and segmented the lung GTV. With the help of anatomic priors from 4 pre-segmented organs, the second deep network could more easily locate the GTV. We used nnUNet as the deep segmentation network. For evaluation, we used NSCLC-Radiomics as the testing dataset, which contains 20 CT scans each annotated by 5 radiation oncologists. The auto-segmented GTV were compared against each of the manual GTV reference. Inter-observer variation was also assessed using the 5 manual GTV references. RESULTS The proposed anatomic-guided lung GTV segmentation model achieved a mean Dice score of 82.4% and 95% Hausdorff distance (HD95) of 6.9mm when averaged cross 20 patients and 5 GTV references (Table 1), which outperformed the basic deep GTV segmentation model by markedly reducing 19.4% HD95 error. The performance of proposed model was also comparable to the inter-observer variation (Dice score: 82.4% vs. 81.9%, HD95 6.9 vs. 6.4mm), indicating that our model had similar reproducibility as human observers. CONCLUSION We developed and tested an anatomy-guided deep learning model for segmenting GTV in NSCLC patients. The model achieves high quantitative segmentation performance, which is comparable to the human observer variation. It can be potentially used in radiotherapy practice to improve GTV delineation consistency and reduce workloads of radiation oncologists.
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Affiliation(s)
- P Wang
- Alibaba DAMO Academy, Hangzhou, Zhejiang, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Zhu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - J Liu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Y Wu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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15
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Lu J, Clement C, Hong J, Wang M, Li X, Cavinato L, Yen TC, Jiao F, Wu P, Wu J, Ge J, Sun Y, Brendel M, Lopes L, Rominger A, Wang J, Liu F, Zuo C, Guan Y, Zhao Q, Shi K. Improved interpretation of 18F-florzolotau PET in progressive supranuclear palsy using a normalization-free deep-learning classifier. iScience 2023; 26:107426. [PMID: 37564702 PMCID: PMC10410511 DOI: 10.1016/j.isci.2023.107426] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/28/2023] [Accepted: 07/17/2023] [Indexed: 08/12/2023] Open
Abstract
While 18F-florzolotau tau PET is an emerging biomarker for progressive supranuclear palsy (PSP), its interpretation has been hindered by a lack of consensus on visual reading and potential biases in conventional semi-quantitative analysis. As clinical manifestations and regions of elevated 18F-florzolotau binding are highly overlapping in PSP and the Parkinsonian type of multiple system atrophy (MSA-P), developing a reliable discriminative classifier for 18F-florzolotau PET is urgently needed. Herein, we developed a normalization-free deep-learning (NFDL) model for 18F-florzolotau PET, which achieved significantly higher accuracy for both PSP and MSA-P compared to semi-quantitative classifiers. Regions driving the NFDL classifier's decision were consistent with disease-specific topographies. NFDL-guided radiomic features correlated with clinical severity of PSP. This suggests that the NFDL model has the potential for early and accurate differentiation of atypical parkinsonism and that it can be applied in various scenarios due to not requiring subjective interpretation, MR-dependent, and reference-based preprocessing.
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Affiliation(s)
- Jiaying Lu
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Christoph Clement
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Jimin Hong
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Min Wang
- Institute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai 200444, China
- Department of Informatics, Technical University of Munich, 80333 Munich, Germany
| | - Xinyi Li
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
| | - Lara Cavinato
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
- MOX - Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Tzu-Chen Yen
- APRINOIA Therapeutics Co., Ltd, Suzhou 215122, China
| | - Fangyang Jiao
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
| | - Ping Wu
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
| | - Jianjun Wu
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
| | - Jingjie Ge
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
| | - Yimin Sun
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
| | - Matthias Brendel
- Department of Nuclear Medicine, University of Munich, 80539 Munich, Germany
| | - Leonor Lopes
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Jian Wang
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
| | - Fengtao Liu
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
| | - Chuantao Zuo
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
- Human Phenome Institute, Fudan University, Shanghai 200433, China
| | - Yihui Guan
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
| | - Qianhua Zhao
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
- Department of Informatics, Technical University of Munich, 80333 Munich, Germany
| | - for the Progressive Supranuclear Palsy Neuroimage Initiative (PSPNI)
- Department of Nuclear Medicine & PET Center & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200235, China
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
- Institute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai 200444, China
- Department of Informatics, Technical University of Munich, 80333 Munich, Germany
- Department of Neurology & National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200400, China
- MOX - Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
- APRINOIA Therapeutics Co., Ltd, Suzhou 215122, China
- Department of Nuclear Medicine, University of Munich, 80539 Munich, Germany
- Human Phenome Institute, Fudan University, Shanghai 200433, China
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Wang J, Ge J, Jin L, Deng B, Tang W, Yu H, Zhang X, Liu X, Xue L, Zuo C, Chen X. Characterization of neuroinflammation pattern in anti-LGI1 encephalitis based on TSPO PET and symptom clustering analysis. Eur J Nucl Med Mol Imaging 2023; 50:2394-2408. [PMID: 36929211 DOI: 10.1007/s00259-023-06190-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 03/05/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE TSPO PET with radioligand [18F]DPA-714 is an emerging molecular imaging technique that reflects cerebral inflammation and microglial activation, and it has been recently used in central nervous system diseases. In this study, we aimed to investigate the neuroinflammation pattern of anti-leucine-rich glioma-inactivated 1 (LGI1) protein autoimmune encephalitis (AIE) and to evaluate its possible correlation with clinical phenotypes. METHODS Twenty patients with anti-LGI1 encephalitis from the autoimmune encephalitis cohort in Huashan Hospital and ten with other AIE and non-inflammatory diseases that underwent TSPO PET imaging were included in the current study. Increased regional [18F]DPA-714 retention in anti-LGI1 encephalitis was detected on a voxel basis using statistic parametric mapping analysis. Multiple correspondence analysis and hierarchical clustering were conducted for discriminate subgroups in anti-LGI1 encephalitis. Standardized uptake value ratios normalized to the cerebellum (SUVRc) were calculated for semiquantitative analysis of TSPO PET features between different LGI1-AIE subgroups. RESULTS Increased regional retention of [18F]DPA-714 was identified in the bilateral hippocampus, caudate nucleus, and frontal cortex in LGI1-AIE patients. Two subgroups of LGI1-AIE patients were distinguished based on the top seven common symptoms. Patients in cluster 1 had a high frequency of facio-brachial dystonic seizures than those in cluster 2 (p = 0.004), whereas patients in cluster 2 had a higher frequency of general tonic-clonic (GTC) seizures than those in cluster 1 (p < 0.001). Supplementary motor area and superior frontal gyrus showed higher [18F]DPA-714 retention in cluster 2 patients compared with those in cluster 1 (p = 0.024; p = 0.04, respectively). CONCLUSIONS Anti-LGI1 encephalitis had a distinctive molecular imaging pattern presented by TSPO PET scan. LGI1-AIE patients with higher retention of [18F]DPA-714 in the frontal cortex were more prone to present with GTC seizures. Further studies are required for verifying its value in clinical application.
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Affiliation(s)
- Jingguo Wang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Jingjie Ge
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China
| | - Lei Jin
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Bo Deng
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Weijun Tang
- Department of Radiology, Huashan Hospital, Shanghai, 200040, China
| | - Hai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Xiang Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Xiaoni Liu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Le Xue
- Department of Nuclear Medicine, the Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Chuantao Zuo
- Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China.
| | - Xiangjun Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, China.
- National Center for Neurological Disorders, 12 Wulumuqi Zhong Road, Shanghai, 200040, China.
- Human Phenome Institute, Fudan University, Shanghai, China.
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Lu J, Ma X, Zhang H, Xiao Z, Li M, Wu J, Ju Z, Chen L, Zheng L, Ge J, Liang X, Bao W, Wu P, Ding D, Yen TC, Guan Y, Zuo C, Zhao Q. Head-to-head comparison of plasma and PET imaging ATN markers in subjects with cognitive complaints. Transl Neurodegener 2023; 12:34. [PMID: 37381042 PMCID: PMC10308642 DOI: 10.1186/s40035-023-00365-x] [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: 02/19/2023] [Accepted: 06/02/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Gaining more information about the reciprocal associations between different biomarkers within the ATN (Amyloid/Tau/Neurodegeneration) framework across the Alzheimer's disease (AD) spectrum is clinically relevant. We aimed to conduct a comprehensive head-to-head comparison of plasma and positron emission tomography (PET) ATN biomarkers in subjects with cognitive complaints. METHODS A hospital-based cohort of subjects with cognitive complaints with a concurrent blood draw and ATN PET imaging (18F-florbetapir for A, 18F-Florzolotau for T, and 18F-fluorodeoxyglucose [18F-FDG] for N) was enrolled (n = 137). The β-amyloid (Aβ) status (positive versus negative) and the severity of cognitive impairment served as the main outcome measures for assessing biomarker performances. RESULTS Plasma phosphorylated tau 181 (p-tau181) level was found to be associated with PET imaging of ATN biomarkers in the entire cohort. Plasma p-tau181 level and PET standardized uptake value ratios of AT biomarkers showed a similarly excellent diagnostic performance for distinguishing between Aβ+ and Aβ- subjects. An increased tau burden and glucose hypometabolism were significantly associated with the severity of cognitive impairment in Aβ+ subjects. Additionally, glucose hypometabolism - along with elevated plasma neurofilament light chain level - was related to more severe cognitive impairment in Aβ- subjects. CONCLUSION Plasma p-tau181, as well as 18F-florbetapir and 18F-Florzolotau PET imaging can be considered as interchangeable biomarkers in the assessment of Aβ status in symptomatic stages of AD. 18F-Florzolotau and 18F-FDG PET imaging could serve as biomarkers for the severity of cognitive impairment. Our findings have implications for establishing a roadmap to identifying the most suitable ATN biomarkers for clinical use.
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Affiliation(s)
- Jiaying Lu
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoxi Ma
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Huiwei Zhang
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Li
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jie Wu
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zizhao Ju
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Chen
- Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weiqi Bao
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | | | - Yihui Guan
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
| | - Chuantao Zuo
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
- Human Phenome Institute, Fudan University, Shanghai, China.
| | - Qianhua Zhao
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
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Zhou HY, Zhao H, Tang MM, Peng H, Feng X, Ge J, Liu HL. Systematic evaluation of the safety and therapeutic effects of para-aortic lymphadenectomy for advanced gastric cancer: a systematic review and meta-analysis. Eur Rev Med Pharmacol Sci 2023; 27:5211-5222. [PMID: 37318495 DOI: 10.26355/eurrev_202306_32639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE At present, there is still no definite conclusion on whether advanced gastric cancer (GC) requires additional para-aortic nodes dissection (PAND). The purpose of this study is to summarize current evidence on the potential benefits of the extended systemic lymphadenectomy (D2+) compared to D2 lymphadenectomy in the treatment of gastric cancer. MATERIALS AND METHODS Systematic literature search was performed across PubMed, Embase, Cochrane library, Web of Science, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, VIP Database for Chinese Technical Periodicals, and China Biology Medicine disc using the following terms: gastric cancer, para-aortic lymphadenectomy, D2+ lymphadenectomy and D3 lymphadenectomy. RevMan 5.3 software was used for the meta-analysis. RESULTS A total of 20 studies involving 5,643 patients were included, consisting of 6 randomized controlled trials (RCT) and 14 non-randomized controlled trials (nRCT). Compared with the D2 group, the operating time in the D2+ group was longer [mean difference (MD)=99.45 min, 95% confidence interval (CI) (48.93, 149.97), p<0.001], with more intra-operative blood loss [MD=262.14 mL, 95% CI (165.21, 359.07), p<0.001]. There were no significant differences in five-year overall survival (OS) [HR=1.09, 95% CI (0.95, 1.25), p=0.22] and post-operative mortality [RR=0.96, 95% CI (0.59, 1.57), p=0.88] between the two groups. The rate of post-operative complications in group D2+ was higher than that in group D2 [RR=1.42, 95% CI (1.11, 1.81), p<0.001]. CONCLUSIONS Prophylactic D2+ surgery is not recommended, since D2+ surgery is associated with an increased rate of post-operative complications and does not improve the long-term survival rate of patients with advanced gastric cancer. However, D2+ surgery (especially D2+PAND) has certain survival advantages for specific patients, and D2+PAND surgery combined with chemotherapy may potentially improve long-term survival rate.
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Affiliation(s)
- H-Y Zhou
- Department of Gastrointestinal Surgery, Central South University, Xiangya Hospital, Changsha, Hunan, P.R. China.
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Lin H, Pan T, Wang M, Ge J, Lu J, Ju Z, Chen K, Zhang H, Guan Y, Zhao Q, Shan B, Nie B, Zuo C, Wu P. Metabolic Asymmetry Relates to Clinical Characteristics and Brain Network Abnormalities in Alzheimer's Disease. J Alzheimers Dis 2023:JAD221258. [PMID: 37182878 DOI: 10.3233/jad-221258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Metabolic asymmetry has been observed in Alzheimer's disease (AD), but different studies have inconsistent viewpoints. OBJECTIVE To analyze the asymmetry of cerebral glucose metabolism in AD and investigate its clinical significance and potential metabolic network abnormalities. METHODS Standardized uptake value ratios (SUVRs) were obtained from 18F-FDG positron emission tomography (PET) images of all participants, and the asymmetry indices (AIs) were calculated according to the SUVRs. AD group was divided into left/right-dominant or bilateral symmetric hypometabolism (AD-L/AD-R or AD-BI) when more than half of the AIs of the 20 regions of interest (ROIs) were < -2SD, >2SD, or between±1SD. Differences in clinical features among the three AD groups were compared, and the abnormal network characteristics underlying metabolic asymmetry were explored. RESULTS In AD group, the proportions of AD-L, AD-R, and AD-BI were 28.4%, 17.9%, and 18.5%, respectively. AD-L/AD-R groups had younger age of onset and faster rate of cognitive decline than AD-BI group (p < 0.05). The absolute values of AIs in half of the 20 ROIs became higher at follow-up than at baseline (p < 0.05). Compared with those in AD-BI group, metabolic connection strength of network, global efficiency, cluster coefficient, degree centrality and local efficiency were lower, but shortest path length was longer in AD-L and AD-R groups (p < 0.05). CONCLUSION Asymmetric and symmetric hypometabolism may represent different clinical subtypes of AD, which may provide a clue for future studies on the heterogeneity of AD and help to optimize the design of clinical trials.
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Affiliation(s)
- Huamei Lin
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Tingting Pan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High EnergyPhysics, Chinese Academy of Sciences, Beijing, China
| | - Min Wang
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Jingjie Ge
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiaying Lu
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zizhao Ju
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Keliang Chen
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Huiwei Zhang
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yihui Guan
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Baoci Shan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High EnergyPhysics, Chinese Academy of Sciences, Beijing, China
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High EnergyPhysics, Chinese Academy of Sciences, Beijing, China
| | - Chuantao Zuo
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- Deparment of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Ge J, Ren X, Chen RR, Sun Y, Wu T, Ong SJH, Xu Z. Multi-Domain versus Single-Domain: A Magnetic Field is Not a Must for Promoting Spin-Polarized Water Oxidation. Angew Chem Int Ed Engl 2023:e202301721. [PMID: 37130000 DOI: 10.1002/anie.202301721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/03/2023]
Abstract
The reaction kinetics of spin-polarized oxygen evolution reaction (OER) can be enhanced by ferromagnetic catalysts under an external magnetic field. However, applying a magnetic field necessitates additional energy consumption and creates design difficulties for electrolyzers. Here, we prove that a single-domain FM catalyst without external magnetic fields exhibits a similar OER increment to its magnetized multi-domain one. The evidence is given by comparing the pH-dependent increment of OER on multi- and single-domain FM catalysts with or without a magnetic field. The intrinsic activity of a single-domain catalyst is higher than that of a multi-domain counterpart. The latter can be promoted to approach the former by the magnetization effect. Reducing the FM catalyst size into the single-domain region, the spin-polarized OER performance can be achieved without a magnetic field, illustrating an external magnetic field is not a requirement to reap the benefits of magnetic catalysts.
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Affiliation(s)
- Jingjie Ge
- Nanyang Technological University, School of Materials Science and Engineering, SINGAPORE
| | - Xiao Ren
- Peking University, College of Chemical Engineering, CHINA
| | - Riccardo Ruixi Chen
- Nanyang Technological University, School of Materials Science and Engineering, SINGAPORE
| | - Yuanmiao Sun
- Nanyang Technological University, School of Materials Science and Engineering, SINGAPORE
| | - Tianze Wu
- Nanyang Technological University, School of Materials Science and Engineering, SINGAPORE
| | - Samuel Jun Hoong Ong
- Nanyang Technological University, School of Materials Science and Engineering, SINGAPORE
| | - Zhichuan Xu
- Nanyang Technological University, School of Materials Science and Engineering, 50 Nanyang Ave., Blk N4.1-02-27, 639798, Singapore, SINGAPORE
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Ge J, Lin H, Chen K, Wang M, He Z, Lu J, Ju Z, Sun Y, Liu F, Guan Y, Zhao Q, Zuo C, Wu P. Optimized Cingulate Island Sign in Discriminating Dementia With Lewy Bodies From Alzheimer Disease. Clin Nucl Med 2023; 48:400-403. [PMID: 36947853 PMCID: PMC10082053 DOI: 10.1097/rlu.0000000000004627] [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: 10/18/2022] [Revised: 01/30/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE This study aimed to optimize the analysis of cingulate island sign (CIS) to improve its diagnostic accuracy in discriminating dementia with Lewy bodies (DLB) from Alzheimer disease (AD). PATIENTS AND METHODS Patients with DLB (n = 80), AD (n = 75), and normal controls (n = 22) with 18 F-FDG PET imaging were enrolled in this study. Sixty-two DLB patients also underwent dopaminergic PET scans. The optimized/conventional CIS ratios and metabolism in associated brain regions were evaluated by diagnostic accuracy among groups and correlation with cognitive/dopaminergic dysfunction. RESULTS In discriminating DLB from AD, the optimized CIS ratio calculated by dorsal posterior cingulate cortex (PCC)/lateral occipital lobe metabolism achieved the highest specificity, sensitivity, and accuracy at 0.907, 0.750, and 0.825, respectively. The metabolism of dorsal-PCC positively correlated with cognitive impairment in DLB patients cross-sectionally and longitudinally ( P < 0.001, r = 0.601; P = 0.044, r = 0.645), and also correlated with dopaminergic impairment in the caudate ( P = 0.048, r = 0.315). CONCLUSIONS Optimized CIS ratios of incorporated metabolic activity of dorsal-PCC and occipital subregions are clinically useful for differentiating DLB from AD, in which dorsal-PCC metabolism may provide an objective biomarker to reflect the severity of cognitive impairment in DLB.
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Affiliation(s)
- Jingjie Ge
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
| | - Huamei Lin
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
| | - Keliang Chen
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University
| | - Min Wang
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University
| | - Zhijie He
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
- Department of Rehabilitation Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiaying Lu
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
| | - Zizhao Ju
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
| | - Yimin Sun
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University
| | - Fengtao Liu
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University
| | - Yihui Guan
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
| | - Qianhua Zhao
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University
| | - Chuantao Zuo
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
| | - Ping Wu
- From the Department of Nuclear Medicine/PET Center
- National Center for Neurological Disorders and National Clinical Research Center for Aging and Medicine
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Sun Y, Wang J, Xi S, Shen J, Luo S, Ge J, Sun S, Chen Y, Hanna JV, Li S, Wang X, Xu ZJ. Navigating surface reconstruction of spinel oxides for electrochemical water oxidation. Nat Commun 2023; 14:2467. [PMID: 37117165 PMCID: PMC10147629 DOI: 10.1038/s41467-023-38017-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 04/11/2023] [Indexed: 04/30/2023] Open
Abstract
Understanding and mastering the structural evolution of water oxidation electrocatalysts lays the foundation to finetune their catalytic activity. Herein, we demonstrate that surface reconstruction of spinel oxides originates from the metal-oxygen covalency polarity in the MT-O-MO backbone. A stronger MO-O covalency relative to MT-O covalency is found beneficial for a more thorough reconstruction towards oxyhydroxides. The structure-reconstruction relationship allows precise prediction of the reconstruction ability of spinel pre-catalysts, based on which the reconstruction degree towards the in situ generated oxyhydroxides can be controlled. The investigations of oxyhydroxides generated from spinel pre-catalysts with the same reconstruction ability provide guidelines to navigate the cation selection in spinel pre-catalysts design. This work reveals the fundamentals for manipulating the surface reconstruction of spinel pre-catalysts for water oxidation.
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Affiliation(s)
- Yuanmiao Sun
- Faculty of Materials Science and Energy Engineering/Institute of Technology for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China
- Shenzhen Key Laboratory of Energy Materials for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China
| | - Jiarui Wang
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), NEW-CREATE Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, 138602, Singapore
| | - Shibo Xi
- Institute of Chemical and Engineering Science, Agency for Science Technology and Research (A*Star), Singapore, 627833, Singapore
| | - Jingjing Shen
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Songzhu Luo
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Jingjie Ge
- Department of Chemical and Biological Engineering, HKUST Jockey Club Institute for Advanced Study, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Shengnan Sun
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*Star), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Yubo Chen
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - John V Hanna
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Department of Physics, University of Warwick, Coventry, UK
| | - Shuzhou Li
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Xin Wang
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
| | - Zhichuan J Xu
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
- Energy Research Institute @ Nanyang Technological University, ERI@N, Interdisciplinary Graduate School, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
- Center for Advanced Catalysis Science and Technology, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
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Wang Y, Li M, Yang Z, Lai W, Ge J, Shao M, Xiang Y, Chen X, Huang H. A universal synthesis of ultrathin Pd-based nanorings for efficient ethanol electrooxidation. Mater Horiz 2023; 10:1416-1424. [PMID: 36779279 DOI: 10.1039/d2mh01363k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Metallic nanorings (NRs) with open hollow structures are of particular interest in energy-related catalysis due to their unique features, which include the high utilization of active sites and facile accessibility for reactants. However, there is still a lack of general methods for synthesizing Pd-based multimetallic NRs with a high catalytic performance. Herein, we develop a template-directed strategy for the synthesis of ultrathin PdM (M = Bi, Sb, Pb, BiPb) NRs with a tunable size. Specifically, ultrathin Pd nanosheets (NSs) are used as a template to steer the deposition of M atoms and the interatomic diffusion between Pd and M, subsequently resulting in the hollow structured NRs. Taking the ethanol oxidation reaction (EOR) as a proof-of-concept application, the PdBi NRs deliver a substantially improved activity relative to the Pd NSs and commercial Pd/C catalysts, simultaneously showing outstanding stability and CO tolerance. Mechanistically, density functional theory (DFT) calculations disclose that the incorporation of Bi reduces the energy barrier of the rate-determining step in the EOR C2-path, which, together with the high ratio of exposed active sites, endows the PdBi NRs with an excellent EOR activity. We believe that our work can illuminate the general synthesis of multimetallic NRs and the rational design of advanced electrocatalysts.
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Affiliation(s)
- Yu Wang
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, 410082, People's Republic of China.
| | - Mengfan Li
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, 410082, People's Republic of China.
| | - Zhilong Yang
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, 410082, People's Republic of China.
| | - Wenchuan Lai
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, 410082, People's Republic of China.
| | - Jingjie Ge
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
- Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Minhua Shao
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
- Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Yu Xiang
- Research Institute of Chemical Defense, Beijing, 100191, China.
| | - Xuli Chen
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, 410082, People's Republic of China.
| | - Hongwen Huang
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, 410082, People's Republic of China.
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24
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Ge J, Guo X, Zhao W, Zhang R, Bian Q, Luo L, Linlin X, Yao X. EVALUATION OF PRE-ABLATION NLR AND LMR AS PREDICTORS OF DISTANT METASTASES IN PATIENTS WITH DIFFERENTIATED THYROID CANCER. Acta Endocrinol (Buchar) 2023; 19:215-220. [PMID: 37908873 PMCID: PMC10614579 DOI: 10.4183/aeb.2023.215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Objective This research aim was to evaluates the role of the pre-ablation neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) as predictors of distant metastases in patients with differentiated thyroid cancer (DTC). Methods A retrospective analysis was given to 140 patients with DTC who received 131I remnant ablation after surgery. The patients were divided into two groups based on the existence of distant metastasis. Results The two groups showed no significant difference in age, gender, WBCs, neutrophils, monocytes, eosinophils, basophils and whether the tumor was multifocal. In the univariate analysis, significant differences were found in tumor size (p=0.021), lymphocyte (p=0.012), NLR (p=0.027), and LMR (p=0.007). According to the ROC curves, NLR had an AUC of 0.612 ± 0.097 with a cut-off value of 1.845, sensitivity of 60.0%, and specificity of 66.2% (p=0.027). LMR had an AUC of 0.638 ± 0.095 with a cut-off value of 4.630, sensitivity of 84.6%, and specificity of 35.4% (p=0.007). In the multivariate analysis, larger tumor size (OR=5.246, 95% CI 1.269-10.907, p=0.009) and higher NLR (OR=2.087, 95% CI 0.977-4.459, p=0.034) were statistically significant for distant metastases. Conclusion This research reveals that pre-ablation NLR and tumor size are significantly statistically correlated with distant metastases in patients with DTC.
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Affiliation(s)
- J. Ge
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - X. Guo
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - W. Zhao
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - R. Zhang
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - Q. Bian
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - L. Luo
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - X. Linlin
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
| | - X. Yao
- The First Affiliated Hospital of USTC - Department of Nuclear Medicine, Hefei, Anhui, China
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25
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Zhao W, Yang H, Wu H, Fu Y, Ge J, Zhang S. All-fiber-device-coupled compact, transportable ultra-stable laser. Rev Sci Instrum 2023; 94:033002. [PMID: 37012787 DOI: 10.1063/5.0136173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 03/07/2023] [Indexed: 06/19/2023]
Abstract
In response to the demand for operation in non-laboratory environments, there has been a trend toward the development of compact, transportable ultra-stable lasers. This paper reports on this sort of laser system assembled in a cabinet. The whole optical part utilizes fiber-coupled devices to simplify the integration. In addition, spatial beam collimation and alignment into the high-finesse cavity are realized by a five-axis positioner and a focus-adjustable fiber collimator, which significantly relax the alignment and adjustment. A theoretical analysis is performed on how the collimator adjusts the beam profile and coupling efficiency. The support structure of the system is specially designed as well so that it features robustness and transportation without performance degradation. The observed linewidth is 1.4 Hz within a duration of 1 s. After subtracting the linear drift of 70 mHz/s, the fractional frequency instability is better than 4 × 10-15, for the averaging time ranging from 1 to 100 s, which is close to the thermal noise limit of the high-finesse cavity.
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Affiliation(s)
- W Zhao
- Science and Technology on Metrology and Calibration Laboratory, Beijing Institute of Radio Metrology and Measurement, Beijing 100854, China
| | - H Yang
- Science and Technology on Metrology and Calibration Laboratory, Beijing Institute of Radio Metrology and Measurement, Beijing 100854, China
| | - H Wu
- Science and Technology on Metrology and Calibration Laboratory, Beijing Institute of Radio Metrology and Measurement, Beijing 100854, China
| | - Y Fu
- Science and Technology on Metrology and Calibration Laboratory, Beijing Institute of Radio Metrology and Measurement, Beijing 100854, China
| | - J Ge
- Science and Technology on Metrology and Calibration Laboratory, Beijing Institute of Radio Metrology and Measurement, Beijing 100854, China
| | - S Zhang
- Science and Technology on Metrology and Calibration Laboratory, Beijing Institute of Radio Metrology and Measurement, Beijing 100854, China
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Rasicci DV, Ge J, Milburn GN, Wood NB, Pruznak AM, Lang CH, Previs MJ, Campbell KS, Yengo CM. Cardiac myosin motor deficits are associated with left ventricular dysfunction in human ischemic heart failure. Am J Physiol Heart Circ Physiol 2023; 324:H198-H209. [PMID: 36525480 PMCID: PMC9829461 DOI: 10.1152/ajpheart.00272.2022] [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: 06/01/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
During ischemic heart failure (IHF), cardiac muscle contraction is typically impaired, though the molecular changes within the myocardium are not fully understood. Thus, we aimed to characterize the biophysical properties of cardiac myosin in IHF. Cardiac tissue was harvested from 10 age-matched males, either with a history of IHF or nonfailing (NF) controls that had no history of structural or functional cardiac abnormalities. Clinical measures before cardiac biopsy demonstrated significant differences in measures of ejection fraction and left ventricular dimensions. Myofibrils and myosin were extracted from left ventricular free wall cardiac samples. There were no changes in myofibrillar ATPase activity or calcium sensitivity between groups. Using isolated myosin, we found a 15% reduction in the IHF group in actin sliding velocity in the in vitro motility assay, which was observed in the absence of a myosin isoform shift. Oxidative damage (carbonylation) of isolated myosin was compared, in which there were no significant differences between groups. Synthetic thick filaments were formed from purified myosin and the ATPase activity was similar in both basal and actin-activated conditions (20 µM actin). Correlation analysis and Deming linear regression were performed between all studied parameters, in which we found statistically significant correlations between clinical measures of contractility with molecular measures of sliding velocity and ELC carbonylation. Our data indicate that subtle deficits in myosin mechanochemical properties are associated with reduced contractile function and pathological remodeling of the heart, suggesting that the myosin motor may be an effective pharmacological intervention in ischemia.NEW & NOTEWORTHY Ischemic heart failure is associated with impairments in contractile performance of the heart. This study revealed that cardiac myosin isolated from patients with ischemic heart failure had reduced mechanical activity, which correlated with the impaired clinical phenotype of the patients. The results suggest that restoring myosin function with pharmacological intervention may be a viable method for therapeutic intervention.
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Affiliation(s)
- D. V. Rasicci
- Department of Cellular and Molecular Physiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
- Department of Pathology, Anatomy, and Laboratory Medicine, West Virginia University School of Medicine, Morgantown, West Virginia
| | - J. Ge
- Department of Cellular and Molecular Physiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - G. N. Milburn
- Department of Physiology, University of Kentucky, Lexington, Kentucky
| | - N. B. Wood
- Department of Molecular Physiology and Biophysics, University of Vermont, Burlington, Vermont
| | - A. M. Pruznak
- Department of Cellular and Molecular Physiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - C. H. Lang
- Department of Cellular and Molecular Physiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - M. J. Previs
- Department of Molecular Physiology and Biophysics, University of Vermont, Burlington, Vermont
| | - K. S. Campbell
- Department of Physiology, University of Kentucky, Lexington, Kentucky
- Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky
| | - C. M. Yengo
- Department of Cellular and Molecular Physiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
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27
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Ge J, Guo D, Ye X, Song Y, Hua X, Lu L, Lin C, Jin D, Ho T. Dosimetry Validation Study for Automated Head and Neck Cancer Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2255] [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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Ye X, Guo D, Liu J, Ge J, Yu H, Wang F, LU Z, Sun X, Yuan S, Zhao L, Jin X, Li J, He C, Zhang Q, Meng Y, Yang X, Liang J, Liu R, Ding S, Zhao J, Li Z, Zhong W, Zhu B, Zhou S, Yuan T, Yan L, Hua X, Lu L, Yan S, Jin D, Kong S. AI Model of Using Stratified Deep Learning to Delineate the Organs at Risk (OARs) for Thoracic Radiation Therapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.952] [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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Ge J, Ye X, Guo D, Song Y, Hua X, Lu L, Lin C, Jin D, Ho T. Evaluation of Intra-Observer Variation for Deep Learning Generated Head and Neck Organs at Risk Segmentation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Ge J, Wu XM, Yang XT, Gao JM, Wang F, Ye KF. Retraction Note: Role of long non-coding RNA SNHG1 in occurrence and progression of ovarian carcinoma. Eur Rev Med Pharmacol Sci 2022; 26:6013. [PMID: 36111900 DOI: 10.26355/eurrev_202209_29614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The article "Role of long non-coding RNA SNHG1 in occurrence and progression of ovarian carcinoma, by J. Ge, X.-M. Wu, X.-T. Yang, J.-M. Gao, F. Wang, K.-F. Ye, published in Eur Rev Med Pharmacol Sci 2018; 22 (2): 329-335-DOI: 10.26355/eurrev_201801_14176-PMID: 29424921" has been retracted by the authors. After publication, the article was questioned on PubPeer. Concerns were expressed about Figures 2 and 3, raising doubts about the originality of data and the reliability of the published results. The Publisher apologizes for any inconvenience this may cause https://www.europeanreview.org/article/14176.
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Affiliation(s)
- J Ge
- Department of Gynecology, The First People's Hospital of Yunnan Province, Kunming, China
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31
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Liu J, Sun H, Meng Y, Ye X, Li S, Han Y, Ge J, Yang H, Liang J, Kong F. EP05.01-015 Validate Radiomics Features and XGBoost Model in Radiation Pneumonitis (RP) Prediction in Patients with Primary Lung Cancer: A MultiCenter Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Lu J, Ge J, Chen K, Sun Y, Liu F, Yu H, Xu Q, Li L, Ju Z, Lin H, Guan Y, Guo Q, Wang J, Zuo C, Wu P. Consistent Abnormalities in Metabolic Patterns of Lewy Body Dementias. Mov Disord 2022; 37:1861-1871. [PMID: 35857319 DOI: 10.1002/mds.29138] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Whether dementia with Lewy bodies (DLB) and Parkinson's disease (PD) dementia (PDD) represent the same disease, distinct entities, or conditions within the same spectrum remains controversial. OBJECTIVE The objective of this study was to provide new insight into this debate by separately identifying disease-specific metabolic patterns and comparing them with each other and with previously established PD-related pattern (PDRP). METHODS Patients with DLB (n = 67), patients with PDD (n = 50), and healthy control subjects (HCs; n = 15) with brain 18 F-fluorodeoxyglucose positron emission tomography were enrolled as cohorts A and B for pattern identification and validation, respectively. Patients with PD (n = 30) were included for discrimination. Twenty-one participants had two scans. The principal component analysis was applied for pattern identification (DLB-related pattern [DLBRP], PDD-related pattern [PDDRP]). Similarities and differences among three patterns were assessed by pattern topography, pattern expression, clinical correlations cross-sectionally, and pattern expression changes longitudinally. RESULTS DLBRP and PDDRP shared highly similar topographies, with relative hypometabolism mainly in the middle temporal gyrus, middle occipital gyrus, lingual gyrus, precuneus, cuneus, angular gyrus, superior and inferior parietal gyrus, middle and inferior frontal gyrus, cingulate, and caudate, and relative hypermetabolism in the cerebellum, putamen, thalamus, precentral/postcentral gyrus, and paracentral lobule, which were more extensive than the PDRP. Patients with DLB and PDD could not be distinguished successfully by any pattern, but patients with PD were easily recognized, especially by DLBRP and PDDRP. The pattern expression of DLBRP and PDDRP showed similar efficacy in cross-sectional disease severity assessment and longitudinal progression monitoring. CONCLUSIONS The consistent abnormalities in metabolic patterns of DLB and PDD might underline the potential continuum across the clinical spectrum from PD to DLB. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jiaying Lu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Keliang Chen
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yimin Sun
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fengtao Liu
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Huan Yu
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qian Xu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Li
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zizhao Ju
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Huamei Lin
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Jian Wang
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Ping Wu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Pushkarev AS, Pushkareva IV, Kozlova MV, Solovyev MA, Butrim SI, Ge J, Xing W, Fateev VN. Heteroatom-Modified Carbon Materials and Their Use as Supports and Electrocatalysts in Proton Exchange Membrane Fuel Cells (A Review). RUSS J ELECTROCHEM+ 2022. [DOI: 10.1134/s1023193522070114] [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: 11/23/2022]
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Ge J, Wang J, Liu H, Wan R, Yao X. 131I SUCCESSFULLY TREATED A CASE OF HYPERTHYROIDISM AFTER ALLOGENEIC HEMATOPOIETIC STEM CELL TRANSPLANTATION. Acta Endocrinol (Buchar) 2022; 18:238-240. [PMID: 36212265 PMCID: PMC9512369 DOI: 10.4183/aeb.2022.238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Hematopoietic stem cell transplantation (HSCT) is an effective treatment for various types of hereditary hematologic disease, hematological malignancy, primary immunodeficiency and metabolic disease. Thyroid dysfunction is a common complication of HSCT, which situation is mainly manifested as hypothyroidism and rarely as hyperthyroidism. This report presents a 28-year-old man who developed hyperthyroidism 9 years after sibling allogeneic HSCT, which was most likely caused by chronic GVHD. In the meantime, the patient also suffered from liver dysfunction and pancytopenia, for which he was inappropriate to take antithyroid drugs (ATD) for treatment of hyperthyroidism. The patient was orally administered 259 MBq 131I, an individualized dose. The symptoms of hyperthyroidism were mitigated by 131I treatment.
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Affiliation(s)
- J. Ge
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Department of Nuclear Medicine, Hefei, China
| | - J. Wang
- Jackson Memorial Hospital, University of Miami Miller School of Medicine - Division of Nuclear Medicine, Department of Radiology, Miami, United States
| | - H. Liu
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Department of Hematology, Hefei, China
| | - R. Wan
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Department of Nuclear Medicine, Hefei, China
| | - X. Yao
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Department of Nuclear Medicine, Hefei, China
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Wang J, Jin L, Zhang X, Yu H, Ge J, Deng B, Li M, Zuo C, Chen X. Activated microglia by 18F-DPA714 PET in a case of anti-LGI1 autoimmune encephalitis. J Neuroimmunol 2022; 368:577879. [DOI: 10.1016/j.jneuroim.2022.577879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022]
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Wu P, Zhao Y, Wu J, Brendel M, Lu J, Ge J, Bernhardt A, Li L, Alberts I, Katzdobler S, Yakushev I, Hong J, Xu Q, Sun Y, Liu F, Levin J, Hoeglinger G, Bassetti C, Guan Y, Oertel WH, Weber WA, Rominger A, Wang J, Zuo C, Shi K. Differential diagnosis of parkinsonism based on deep metabolic imaging indices. J Nucl Med 2022; 63:1741-1747. [PMID: 35241481 PMCID: PMC9635684 DOI: 10.2967/jnumed.121.263029] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 02/22/2022] [Indexed: 11/16/2022] Open
Abstract
The clinical presentations of early idiopathic Parkinson's disease (PD) substantially overlap with those of atypical parkinsonian syndromes like multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). This study aimed to develop metabolic imaging indices based on deep learning to support the differential diagnosis of these conditions. Methods: A benchmark Huashan parkinsonian PET imaging (HPPI, China) database including 1275 parkinsonian patients and 863 non-parkinsonian subjects with 18F-FDG PET images was established to support artificial intelligence development. A 3D deep convolutional neural network was developed to extract deep metabolic imaging (DMI) indices, which was blindly evaluated in an independent cohort with longitudinal follow-up from the HPPI, and an external German cohort of 90 parkinsonian patients with different imaging acquisition protocols. Results: The proposed DMI indices had less ambiguity space in the differential diagnosis. They achieved sensitivities of 98.1%, 88.5%, and 84.5%, and specificities of 90.0%, 99.2%, and 97.8% for the diagnosis of PD, MSA, and PSP in the blind test cohort. In the German cohort, They resulted in sensitivities of 94.1%, 82.4%, 82.1%, and specificities of 84.0%, 99.9%, 94.1% respectively. Employing the PET scans independently achieved comparable performance to the integration of demographic and clinical information into the DMI indices. Conclusion: The DMI indices developed on the HPPI database show potential to provide an early and accurate differential diagnosis for parkinsonism and is robust when dealing with discrepancies between populations and imaging acquisitions.
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Affiliation(s)
- Ping Wu
- Huashan Hospital, Fudan University, China
| | | | - Jianjun Wu
- Huashan Hospital, Fudan University, China
| | | | - Jiaying Lu
- Huashan Hospital, Fudan University, China
| | - Jingjie Ge
- Huashan Hospital, Fudan University, China
| | | | - Ling Li
- Huashan Hospital, Fudan University, China
| | | | | | | | | | - Qian Xu
- Huashan Hospital, Fudan University, China
| | - Yimin Sun
- Huashan Hospital, Fudan University, China
| | | | | | | | | | - Yihui Guan
- Huashan Hospital, Fudan University, China
| | | | | | | | - Jian Wang
- Huashan Hospital, Fudan University, China
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Ge J, Wang JT, Tang MJ. [Caution over diagnosis of preperimetric glaucoma]. Zhonghua Yan Ke Za Zhi 2022; 58:11-13. [PMID: 34979787 DOI: 10.3760/cma.j.cn112142-20211009-00473] [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
Preperimetric glaucoma (PPG) refers to the earliest stage of primary open-angle glaucoma (POAG) before emergence of visual field defects. However, the existence and diagnosis of the PPG stage remains controversial. In this article, with focuses on the clinical significance of intraocular pressure measurements, the etiology classification of POAG, the value of follow-up to PPG diagnosis, the accuracy of devices and methods, and genetic factors of POAG, we point out that PPG should be carefully diagnosed in clinical practice. It is hoped that constant and deep understanding of PPG could help to reach consensus opinions, thus improving and enhancing the diagnosis and treatment of glaucoma.
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Affiliation(s)
- J Ge
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou 510060, China
| | - J T Wang
- Shenzhen Eye Hospital Affiliated to Jinan University, Shenzhen 518000, China
| | - M J Tang
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou 510060, China
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Zhou M, Liu J, Ling C, Ge Y, Chen B, Tan C, Fan Z, Huang J, Chen J, Liu Z, Huang Z, Ge J, Cheng H, Chen Y, Dai L, Yin P, Zhang X, Yun Q, Wang J, Zhang H. Synthesis of Pd 3 Sn and PdCuSn Nanorods with L1 2 Phase for Highly Efficient Electrocatalytic Ethanol Oxidation. Adv Mater 2022; 34:e2106115. [PMID: 34601769 DOI: 10.1002/adma.202106115] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/16/2021] [Indexed: 06/13/2023]
Abstract
The crystal phase of nanomaterials is one of the key parameters determining their physicochemical properties and performance in various applications. However, it still remains a great challenge to synthesize nanomaterials with different crystal phases while maintaining the same composition, size, and morphology. Here, a facile, one-pot, wet-chemical method is reported to synthesize Pd3 Sn nanorods with comparable size and morphology but different crystal phases, that is, an ordered intermetallic and a disordered alloy with L12 and face-centered cubic (fcc) phases, respectively. The crystal phase of the as-synthesized Pd3 Sn nanorods is easily tuned by altering the types of tin precursors and solvents. Moreover, the approach can also be used to synthesize ternary PdCuSn nanorods with the L12 crystal phase. When used as electrocatalysts, the L12 Pd3 Sn nanorods exhibit superior electrocatalytic performance toward the ethanol oxidation reaction (EOR) compared to their fcc counterpart. Impressively, compared to the L12 Pd3 Sn nanorods, the ternary L12 PdCuSn nanorods exhibit more enhanced electrocatalytic performance toward the EOR, yielding a high mass current density up to 6.22 A mgPd -1 , which is superior to the commercial Pd/C catalyst and among the best reported Pd-based EOR electrocatalysts.
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Affiliation(s)
- Ming Zhou
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Jiawei Liu
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Chongyi Ling
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
- School of Physics, Southeast University, Nanjing, 211189, China
| | - Yiyao Ge
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
| | - Bo Chen
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
| | - Chaoliang Tan
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, City University of Hong Kong, Shenzhen, 518057, China
| | - Zhanxi Fan
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, City University of Hong Kong, Shenzhen, 518057, China
- Hong Kong Branch of National Precious Metals Material Engineering Research Center (NPMM), City University of Hong Kong, Hong Kong, China
| | - Jingtao Huang
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Junze Chen
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Zhengqing Liu
- Institute of Flexible Electronics (IFE), Northwestern Polytechnical University (NPU), Xi'an, 710000, China
| | - Zhiqi Huang
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
| | - Jingjie Ge
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Hongfei Cheng
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Ye Chen
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
| | - Lei Dai
- Key Laboratory for Special Functional Materials of Ministry of Education, School of Materials, Henan University, Kaifeng, 475004, China
| | - Pengfei Yin
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
| | - Xiao Zhang
- Center for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Qinbai Yun
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
| | - Jinlan Wang
- School of Physics, Southeast University, Nanjing, 211189, China
| | - Hua Zhang
- Department of Chemistry, City University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, City University of Hong Kong, Shenzhen, 518057, China
- Hong Kong Branch of National Precious Metals Material Engineering Research Center (NPMM), City University of Hong Kong, Hong Kong, China
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Zhu S, Ju Z, Wu P, Liu F, Ge J, Zhang H, Lu J, Li L, Wang M, Jiang J, Wang J, Zuo C. The Parkinson's Disease Progression Neuroimaging Initiative. Behav Neurol 2021; 2021:2230196. [PMID: 35003386 PMCID: PMC8739530 DOI: 10.1155/2021/2230196] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 11/29/2021] [Indexed: 11/20/2022] Open
Abstract
The Parkinson's Disease Progressive Neuroimaging Initiative (PDPNI) is a longitudinal observational clinical study. In PDPNI, the clinical and imaging data of patients diagnosed with Parkinsonian syndromes and Idiopathic rapid eye movement sleep behavior disorder (RBD) were longitudinally followed every two years, aiming to identify progression biomarkers of Parkinsonian syndromes through functional imaging modalities including FDG-PET, DAT-PET imaging, ASL MRI, and fMRI, as well as the treatment conditions, clinical symptoms, and clinical assessment results of patients. From February 2012 to March 2019, 224 subjects (including 48 healthy subjects and 176 patients with confirmed PDS) have been enrolled in PDPNI. The detailed clinical information and clinical assessment scores of all subjects were collected by neurologists from Huashan Hospital, Fudan University. All subjects enrolled in PDPNI were scanned with 18F-FDG PET, 11C-CFT PET, and MRI scan sequence. All data were collected in strict accordance with standardized data collection protocols.
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Affiliation(s)
- Shiyi Zhu
- School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Zizhao Ju
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Fengtao Liu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Huiwei Zhang
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiaying Lu
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Li
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Wang
- School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Jiehui Jiang
- School of Life Science, Shanghai University, Shanghai, China
| | - Jian Wang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Chuantao Zuo
- PET Center and National Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
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Xu Q, Jiang C, Ge J, Lu J, Li L, Yu H, Wu J, Wang J, Wu P, Zuo C. The impact of probable rapid eye movement sleep behavior disorder on Parkinson's disease: A dual-tracer PET imaging study. Parkinsonism Relat Disord 2021; 95:47-53. [PMID: 35030449 DOI: 10.1016/j.parkreldis.2021.11.035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 11/25/2021] [Accepted: 11/29/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE With a dual-tracer PET study design, this study aimed to identify the differences between PD patients with and without probable RBD (PD+RBD+/PD+RBD-) and the influence of timing of RBD onset [probable RBD anterior to PD onset (PD+RBDa)/probable RBD posterior to PD onset (PD+RBDp)]. METHODS Seventy-four PD+RBD+ patients, sixty-three PD+RBD-patients and twenty healthy controls were enrolled. Clinical variates, striatal DAT tracer uptake, voxel-wise glucose metabolism and Parkinson's disease-related pattern (PDRP) expressions were compared among groups. RESULTS No significant difference were found on clinical characteristics between PD+RBD+ and PD+RBD-groups. Compared with PD+RBD-group, PD+RBD+ group had more severe dopaminergic dysfunction (p<0.05) except for posterior putamen in the more affected hemisphere (MAH) (p = 0.350). Meanwhile, it showed relative hypermetabolism in anterior putamen in the less affected hemisphere (LAH), bilateral anterior pallidum with wider involvement in the LAH, hippocampus and para-hippocampus in the LAH and bilateral olfactory gyrus, together with relative hypometabolism in limited bilateral posterio-parietal area (p<0.001). Significantly elevated PDRP expression was also seen in PD+RBD+ group (p < 0.01). For the timing of RBD onset, PD+RBDa patients harbored greater progression rate than PD+RBDp patients (p<0.01), greater DAT declining rates of striatal subregions and greater increasing rate of PDRP expressions than both PD+RBDp and PD+RBD-patients (p<0.05). CONCLUSION Our study found that PD patients with probable RBD have worse striatal dopaminergic dysfunction and higher PDRP network activity, supporting the assumption that PD with RBD may be a specific phenotype of PD. Additionally, RBD preceding PD onset may indicate a steeper disease decline.
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Affiliation(s)
- Qian Xu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Chengfeng Jiang
- Department of Nuclear Medicine, Kunshan First People's Hospital, Suzhou, China
| | - Jingjie Ge
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiaying Lu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Li
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Huan Yu
- Sleep and Wake Disorders Center, Huashan Hospital, Fudan University, Shanghai, China; Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianjun Wu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jian Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
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41
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Chen RR, Chen G, Ren X, Ge J, Ong SJH, Xi S, Wang X, Xu ZJ. SmCo 5 with a Reconstructed Oxyhydroxide Surface for Spin-Selective Water Oxidation at Elevated Temperature. Angew Chem Int Ed Engl 2021; 60:25884-25890. [PMID: 34561927 DOI: 10.1002/anie.202109065] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Indexed: 11/06/2022]
Abstract
The efficiency of electrolytic hydrogen production is limited by the slow reaction kinetics of oxygen evolution reaction (OER). Surface-reconstructed ferromagnetic (FM) catalysts with a spin-pinning effect at the FM/oxyhydroxide interface could enhance the spin-dependent OER kinetics. However, in real-life applications, electrolyzers are operated at elevated temperature, which may disrupt the spin orientations of FM catalysts and limit their performance. In this study, we prepared surface-reconstructed SmCo5 /CoOx Hy , which possesses polarized spins at the FM/oxyhydroxide interface that lead to excellent OER activity. These interfacial polarized spins could be further aligned through a magnetization process, which further enhanced the OER performance. Moreover, the operation temperature was elevated to mimic the practical operation conditions of water electrolyzers. It was found that the OER activity enhancement of the magnetized SmCo5 /CoOx Hy catalyst could be preserved up to 60 °C.
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Affiliation(s)
- Riccardo Ruixi Chen
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.,Energy Research Institute@Nanyang Technological University, Interdisciplinary Graduate School, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Gao Chen
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Xiao Ren
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Jingjie Ge
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Samuel Jun Hoong Ong
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.,Singapore-HUJ Alliance for Research and Enterprise, NEW-CREATE Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore
| | - Shibo Xi
- Institute of Chemical and Engineering Science A*Star, 1 Pesek Road, Singapore, 627833, Singapore
| | - Xin Wang
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Zhichuan J Xu
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.,Energy Research Institute@Nanyang Technological University, Interdisciplinary Graduate School, 50 Nanyang Avenue, Singapore, 639798, Singapore.,Singapore-HUJ Alliance for Research and Enterprise, NEW-CREATE Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore.,Institute of Chemical and Engineering Science A*Star, 1 Pesek Road, Singapore, 627833, Singapore
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42
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Wang T, Qiu L, Li H, Zhang C, Sun Y, Xi S, Ge J, Xu ZJ, Wang C. Facile synthesis of palladium incorporated NiCo2O4 spinel for low temperature methane combustion: Activate lattice oxygen to promote activity. J Catal 2021. [DOI: 10.1016/j.jcat.2021.10.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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43
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Chen RR, Chen G, Ren X, Ge J, Ong SJH, Xi S, Wang X, Xu ZJ. SmCo
5
with a Reconstructed Oxyhydroxide Surface for Spin‐Selective Water Oxidation at Elevated Temperature. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202109065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Riccardo Ruixi Chen
- School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
- Energy Research Institute@Nanyang Technological University Interdisciplinary Graduate School 50 Nanyang Avenue Singapore 639798 Singapore
| | - Gao Chen
- School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
| | - Xiao Ren
- School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
| | - Jingjie Ge
- School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
| | - Samuel Jun Hoong Ong
- School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
- Singapore-HUJ Alliance for Research and Enterprise NEW-CREATE Phase II Campus for Research Excellence and Technological Enterprise (CREATE) 1 CREATE Way Singapore 138602 Singapore
| | - Shibo Xi
- Institute of Chemical and Engineering Science A*Star 1 Pesek Road Singapore 627833 Singapore
| | - Xin Wang
- School of Chemical and Biomedical Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
| | - Zhichuan J. Xu
- School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore
- Energy Research Institute@Nanyang Technological University Interdisciplinary Graduate School 50 Nanyang Avenue Singapore 639798 Singapore
- Singapore-HUJ Alliance for Research and Enterprise NEW-CREATE Phase II Campus for Research Excellence and Technological Enterprise (CREATE) 1 CREATE Way Singapore 138602 Singapore
- Institute of Chemical and Engineering Science A*Star 1 Pesek Road Singapore 627833 Singapore
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Abstract
Abstract
Background
Vulnerable plaques are characterized by infiltration of inflammatory cells, playing a key role in the progression of acute coronary events. It's important to clarify the inflammatory mechanism of unstable plaque formation. Several clinical trials have demonstrated that dapagliflozin could reduce major adverse cardiac events in whether diabetic or non-diabetic patients. However, the underlying cardioprotective mechanism of dapagliflozin remains unclear. This study was aimed to investigate the role of dapagliflozin in regulating macrophage pyroptosis and vulnerable plaque formation.
Methods
20 ApoE−/− mice (control) were fed with high fat diet while another 20 ApoE−/− mice were challenged with high fat diet plus dapagliflozin for 12 weeks. The extent and instability of atherosclerotic plaque was determined by oil-red staining, HE staining, immunofluorescence staining and electron microscopy. Changes in subsets of immune cells were evaluated by flow cytometry. Plasma cytokines were assessed by ELISA. Microarray analysis was applied to detect gene expressions while Western blot and real-time PCR was used to assess gene expression levels.
Results
Morphology studies revealed that dapagliflozin could inhibit plaque formation and reduce instability in ApoE−/− mice. FACS data showed that dapagliflozin could decrease CD11b+Ly6Chigh M1 macrophages differentiation and inhibit foam cells formation in ApoE−/− mice. Microarray analysis and in vitro studies exhibited that dapagliflozin could induce the down regulation of NLRP3, caspase-1, IL-1β, IL-18 and MMP-7/10/12/14 to retard macrophage pyroptosis and foam cell formation.
Conclusions
We have characterized a novel role for dapagliflozin in modulating atherosclerotic lesion development and progression. We envision that this study may provide several potential therapeutic targets for treatment of acute coronary syndromes.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Shanghai Sailing Program
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Affiliation(s)
- L Xu
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - Y Dai
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - K Yao
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - H Yang
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - A Sun
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - J Qian
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - J Ge
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
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Qin Q, Ma J, Ge J. A comparison of long-term clinical outcomes between PCI and medical therapy in patients with chronic total occlusion in non-Infarct-related arteries after AMI PCI. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Chronic total occlusion (CTO) in a non-infarct-related artery (IRA) is one of the risk factors for mortality after acute myocardial infarction (AMI). However, there are limited data comparing the long-term outcomes of patients underwent successful percutaneous coronary intervention (s-PCI) with patients having medical therapy (MT) in CTO lesion after AMI PCI.
Methods
We retrospectively enrolled 330 patients (n=166 in s-PCI group and n=164 in MT group) with CTO in a non-IRA from a total of 4372 patients who underwent PCI after AMI from July 2011 to July 2019 in our center (Figure 1). Propensity matching (119 matched pairs) was used to adjust for baseline differences. Major adverse cardiovascular and cerebrovascular events (MACCEs) on follow-up were defined as the composite of cardiac death, all cause death, myocardial infarction (MI), stroke and any revascularization. Kaplan-Meier analysis were used to evaluate the long-term outcomes between s-PCI and MT group.
Results
The patients in MT group were older, more likely to be diagnosed as STEMI, had lower eGFR and higher peak troponin T level during AMI compared with s-PCI group. Furthermore, in MT group, the involvement of LAD as IRA (50.6% vs 38.6%, p=0.028) and LCX as CTO vessel (45.1% vs 27.1%, p=0.001) was more frequent than in s-PCI group, and thus the involvement of LAD as CTO vessel was less frequent (28.9% vs 39.8%, p<0.001). During a median follow-up period of 946 days, patients in s-PCI group had significantly lower incidences of cardiac death (3.0% vs 10.4%, p=0.017) and all cause death (5.4% vs 14.0%, p=0.030) when compared with patients in MT group. Moreover, after PSM, patients in s-PCI group still showed lower incidence of cardiac death (2.5% vs 9.2%, p=0.04). The incidence of MI, stroke, revascularization and MACCE showed no significant difference between the two groups both before and after PSM. In multivariate analysis, age (HR 1.06, 95% CI 1.02–1.10, p=0.003) and LVEF<50% (HR 4.71, 95% CI 1.72–12.90, p=0.003) showed significant correlation with long term cardiac death, however, successful CTO PCI showed borderline significance (HR 0.42, 95% CI 0.15–1.16, p=0.095). In subgroup analysis, Kaplan–Meier curve showed s-PCI group had a lower incidence of cardiac death compared with MT in patients with LVEF<50% both before (p=0.011) and after PSM (p=0.045). However, no difference was observed between two groups in patients with LVEF≥50%.
Conclusions
In our center, s-PCI of CTO in non-IRA after AMI PCI showed better long-term cardiac survival as compared with MT. Moreover, patients with low LVEF may be benefit from CTO PCI in non-IRA.
Funding Acknowledgement
Type of funding sources: None. Flow chart of the studyKaplan-Meier analysis between two groups
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Affiliation(s)
- Q Qin
- Zhongshan Hospital, Fudan University, Cardiology, Shanghai, China
| | - J Ma
- Zhongshan Hospital, Fudan University, Cardiology, Shanghai, China
| | - J Ge
- Zhongshan Hospital, Fudan University, Cardiology, Shanghai, China
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Ge J, Chen RR, Ren X, Liu J, Ong SJH, Xu ZJ. Ferromagnetic-Antiferromagnetic Coupling Core-Shell Nanoparticles with Spin Conservation for Water Oxidation. Adv Mater 2021; 33:e2101091. [PMID: 34473843 DOI: 10.1002/adma.202101091] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/01/2021] [Indexed: 06/13/2023]
Abstract
Rational design of active oxygen evolution reaction (OER) catalysts is critical for the overall efficiency of water electrolysis. The differing spin states of the OER reactants and products is one of the factors that slows OER kinetics. Thus, spin conservation plays a crucial role in enhancing OER performance. In this work, ferromagnetic (FM)-antiferromagnetic (AFM) Fe3 O4 @Ni(OH)2 core-shell catalysts are designed. The interfacial FM-AFM coupling of these catalysts facilitates selective removal of electrons with spin direction opposing the magnetic moment of FM core, improving OER kinetics. The shell thickness is found critical in retaining the coupling effect for OER enhancement. The magnetic domain structure of the FM core also plays a critical role. With a multiple domain core, the applied magnetic field aligns the magnetic domains, optimizing the electron transport process. A significant enhancement of OER activity is observed for the multiple domain core catalysts. With a single-domain FM core with ordered magnetic dipoles, the spin-selective electron transport with minimal scattering is facilitated even without an applied magnetic field. A magnetism/OER activity model therefore hypothesizes that depends on two main parameters: interfacial spin coupling and domain structure. These findings provide new design principles for active OER catalysts.
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Affiliation(s)
- Jingjie Ge
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise, NEW-CREATE Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore
| | - Riccardo Ruixi Chen
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Energy Research Institute @NTU ERI@N, Interdisciplinary Graduate School, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Xiao Ren
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Jiawei Liu
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Samuel Jun Hoong Ong
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise, NEW-CREATE Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore
| | - Zhichuan J Xu
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise, NEW-CREATE Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore
- Energy Research Institute @NTU ERI@N, Interdisciplinary Graduate School, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- The Cambridge Centre for Advanced Research and Education in Singapore, 1 CREATE Way, Singapore, 138602, Singapore
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Ge J, Zhao TT, Wan CY, Xia JY, Guo SY, Yu MX, Chen J, Wang Y, Xu KL, Li ZY. [Comparison of single infusion of anti-BCMA versus combined infusion of anti-CD19 chimeric antigen receptor T cells for immune reconstruction in relapsed/refractory multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:733-738. [PMID: 34753227 PMCID: PMC8607032 DOI: 10.3760/cma.j.issn.0253-2727.2021.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: We observed and compared the differences in immune reconstruction between single-infusion anti-B-cell maturation antigen (BCMA) , chimeric antigen receptor T cells (CAR-T) , and combined infusion of anti-CD19 CAR-T cells in the treatment of recurrent/refractory multiple myeloma (RRMM) . Methods: Sixty-one patients with RRMM who underwent CAR-T cell therapy in our hospital from June 2017 to December 2020 were selected. Among them, 26 patients received anti-BCMA target, and 35 patients received anti-BCMA combined with anti-CD19 target. Using flow cytometry, we determined T cell subsets (CD3(+), CD4(+), CD8(+), CD4(+)/CD8(+)) , B cells (CD19(+)) , and NK cells (CD16(+) CD56(+)) at different time points before and after CAR-T treatment, and detected immunoglobulin IgG, IgA and IgM levels by immunoturbidimetry. We compared the reconstruction rules of lymphocyte subsets and immunoglobulins in the two groups. Results: CD8(+) T lymphocytes recovered most rapidly after the infusion of CAR-T cells, returning to pre-infusion levels at 3 months and 1 month after infusion, respectively[BCMA: 695 (357, 1264) /μl vs 424 (280, 646) /μl; BCMA+CD19: 546 (279, 1672) /μl vs 314 (214, 466) /μl]. NK cells returned to normal levels at 3 months after infusion in both groups[BCMA: 171 (120, 244) /μl, BCMA+CD19: 153 (101, 218) /μl (Normal reference range 150-1100/μl) ]; however, the NK cells were not maintained at stable levels in the BCMA CAR-T cells group. The recovery of CD4(+) T lymphocytes in both groups was slow and remained persistently low within 12 months after infusion, and no recovery was observed in most patients. The reversal of the ratio of CD4(+)/CD8(+) lasted for more than a year. The levels of CD19(+) B cells in both groups returned to baseline 3 months after infusion[BCMA: 62 (10, 72) /μl vs 57 (24, 78) /μl; BCMA+CD19: 40 (4, 94) /μl vs 29 (14, 46) /μl]. IgG returned to the pre-infusion level 12 months after infusion in the group with anti-BCMA cells alone, but not in the group with combined infusion of CD19 CAR T cells[7.82 (6.03, 9.64) g/L vs 6.92 (4.62, 12.76) g/L]. IgA returned to pre-infusion levels at 9 and 12 months after infusion, respectively[BCMA: 0.46 (0.07, 0.51) g/L vs 0.22 (0.12, 4.01) g/L; BCMA+CD19: 0.46 (0.22, 0.98) g/L vs 0.27 (0.10, 0.53) g/L]. IgM in both groups returned to pre-infusion levels 6 months after infusion[BCMA: 0.43 (0.06, 0.60) g/L vs 0.20 (0.13, 0.37) g/L; BCMA+CD19: 0.53 (0.10, 0.80) g/L vs 0.16 (0.11, 0.28) g/L]. There was no significant difference in the indexes of lymphocyte subpopulation reconstruction and immunoglobulin recovery between the two groups at each time point. Conclusion: This study showed that in patients with RRMM treated with CAR-T cells, the appropriate target antigen can be selected without considering the difference of immune reconstruction between anti-BCMA CAR-T and combined anti-CD19 CAR-T therapy.
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Affiliation(s)
- J Ge
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - T T Zhao
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - C Y Wan
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - J Y Xia
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - S Y Guo
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - M X Yu
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - J Chen
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - Y Wang
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - K L Xu
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - Z Y Li
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
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Chan A, Lee V, Hong RL, Ahn MJ, Chong W, Kim SB, Gwo Fuang H, Caguioa P, Ngamphaiboon N, Ho C, Abdul Aziz M, Ng Q, Yen CJ, Soparattanapaisarn N, Ngan K, Kho S, Swaby R, Saraf S, Ge J, Siu L. 858O Results of KEYNOTE-122: A phase III study of pembrolizumab (pembro) monotherapy vs chemotherapy (chemo) for platinum-pretreated, recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1268] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Zhang Y, Tian Y, Dong P, Xu Y, Yu B, Li H, Li J, Ge J, Sun Y, Wang J, Wang L, Chen J, Yan H, Chen Y, Han Y, Huo Y. Treatment delay and reperfusion management of acute ST-segment elevation myocardial infarction: analysis of the China STEMI Care Project Phase 1. QJM 2021; 114:299-305. [PMID: 32569364 DOI: 10.1093/qjmed/hcaa186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 04/11/2020] [Accepted: 04/21/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The China ST-segment elevation myocardial infarction (STEMI) Care Project (CSCAP) was launched in 2011 to address the problems of insufficient reperfusion and long treatment delay in STEMI care in China. AIM To describe the baseline status of STEMI emergency care in Tertiary PCI Hospitals using Phase 1 (CSCAP-1) data. DESIGN CSCAP-1 is a prospective multi-center STEMI registry. METHODS AND RESULTS A total of 4191 patients with symptom onset within 12 or 12-36 h requiring primary percutaneous coronary intervention (PCI), were enrolled from 53 tertiary PCI hospitals in 14 provinces, municipalities, and autonomous regions of China in CSCAP-1. Among them, 49.0% were self-transported to the hospital, 26.5% were transferred to the hospital by calling the emergency medical services directly, and 24.5% were transferred from other hospitals. In patients with symptom onset within 12 h, 83.2% received primary PCI, 5.9% received thrombolysis and 10.9% received conservative medications. The median door-to-balloon time was 115 (85-170) min and the median door-to-needle time for in-hospital thrombolysis was 80 (50-135) min. The overall in-hospital all-cause mortality was 2.4%, while it was 5.3% in the non-reperfusion group and 2.1% in the reperfusion group (P < 0.001). CONCLUSION Although a long treatment delay and a high proportion of patients transporting themselves to the hospital were observed, trends were positive with greater adoption of primary PCI and lower in-hospital mortality in tertiary hospitals in China. Our results provided important information for further integrated STEMI network construction in China.
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Affiliation(s)
- Y Zhang
- Department of Cardiology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing 100034, China
| | - Y Tian
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, 199 Dazhi Street, Nangang District, Harbin 150001, Heilongjiang Province, China
| | - P Dong
- Department of Cardiology, The First Affiliated Hospital of Henan University of Science and Technology, 24 Jinghua Road, Jianxi District, Luoyang 471003, Henan Province, China
| | - Y Xu
- Department of Cardiology, Tenth People's Hospital of Tongji University, 301 Yanchang Middle Road, Jingan District, Shanghai 200072, China
| | - B Yu
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin 150086, Heilongjiang Province, China
| | - H Li
- Department of Cardiology, Daqing Oilfield General Hospital, 9 Zhongkang Street, Sartu District, Daqing 163001, Heilongjiang Province, China
| | - J Li
- Department of Cardiology, Qilu Hospital of Shandong University, 107 Wenhua West Road, Lixia District, Jinan 250012, Shandong Province, China
| | - J Ge
- Department of Cardiology, Zhongshan Hospital Fudan University, 180 Fenglin Road, Xuhui District, Shanghai 200032, China
| | - Y Sun
- Department of Cardiology, Shanxi Datong Coal Group General Hospital, 5999 Herui Street, Hengan New District, Datong 037003, Shanxi Province, China
| | - J Wang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University, 88 Jiefang Road, Shangcheng District, Hangzhou 310009, Zhejiang Province, China
| | - L Wang
- Department of Cardiology, Beijing Chao-yang Hospital, 8 Gongti South Road, Chaoyang District, Beijing 100020, China
| | - J Chen
- Department of Cardiology, Guangdong General Hospital, 106 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, Guangdong Province, China
| | - H Yan
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences, 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Y Chen
- Department of Cardiology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100036, China
| | - Y Han
- Department of Cardiology, General Hospital of Northern Theater Command of People's Liberation Army, 83 Wenhua Road, Shenhe District, Shenyang 110016, Liaoning Province, China
| | - Y Huo
- Department of Cardiology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing 100034, China
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Lu J, Huang L, Lv Y, Peng S, Xu Q, Li L, Ge J, Zhang H, Guan Y, Zhao Q, Guo Q, Chen K, Wu P, Ma Y, Zuo C. A disease-specific metabolic imaging marker for diagnosis and progression evaluation of semantic variant primary progressive aphasia. Eur J Neurol 2021; 28:2927-2939. [PMID: 34110063 DOI: 10.1111/ene.14919] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/10/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE The diagnosis and monitoring of semantic variant primary progressive aphasia (sv-PPA) are clinically challenging. We aimed to establish a distinctive metabolic pattern in sv-PPA for diagnosis and severity evaluation. METHODS Fifteen sv-PPA patients and 15 controls were enrolled to identify sv-PPA-related pattern (sv-PPARP) by principal component analysis of 18 F-fluorodeoxyglucose positron emission tomography. Eighteen Alzheimer disease dementia (AD) and 14 behavioral variant frontotemporal dementia (bv-FTD) patients were enrolled to test the discriminatory power. Correspondingly, regional metabolic activities extracted from the voxelwise analysis were evaluated for the discriminatory power. RESULTS The sv-PPARP was characterized as decreased metabolic activity mainly in the bilateral temporal lobe (left predominance), middle orbitofrontal gyrus, left hippocampus/parahippocampus gyrus, fusiform gyrus, insula, inferior orbitofrontal gyrus, and striatum, with increased activity in the bilateral lingual gyrus, cuneus, calcarine gyrus, and right precentral and postcentral gyrus. The pattern expression had significant discriminatory power (area under the curve [AUC] = 0.98, sensitivity = 100%, specificity = 94.4%) in distinguishing sv-PPA from AD, and the asymmetry index offered complementary discriminatory power (AUC = 0.91, sensitivity = 86.7%, specificity = 92.9%) in distinguishing sv-PPA from bv-FTD. In sv-PPA patients, the pattern expression correlated with Boston Naming Test scores at baseline and showed significant increase in the subset of patients with follow-up. The voxelwise analysis showed similar topography, and the regional metabolic activities had equivalent or better discriminatory power and clinical correlations with Boston Naming Test scores. The ability to reflect disease progression in longitudinal follow-up seemed to be inferior to the pattern expression. CONCLUSIONS The sv-PPARP might serve as an objective biomarker for diagnosis and progression evaluation.
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Affiliation(s)
- Jiaying Lu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Lin Huang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yingru Lv
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Shichun Peng
- Center for Neurosciences, Institute of Molecular Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - Qian Xu
- Department of Nuclear Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Li
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Huiwei Zhang
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Keliang Chen
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yilong Ma
- Center for Neurosciences, Institute of Molecular Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China.,Institute of Functional and Molecular Medicine Imaging, Fudan University, Shanghai, China
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