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Qin W, Fu Q, Zhang Y, Zhang B, Wang P, Poon TC, Gu X. Rendering of 3D scenes in analytical polygon-based computer holography with texture mapping. J Opt Soc Am A Opt Image Sci Vis 2024; 41:A32-A39. [PMID: 38437421 DOI: 10.1364/josaa.507221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 01/02/2024] [Indexed: 03/06/2024]
Abstract
A computer-generated hologram (CGH) is a technique that generates an object light field by superimposing elementary holograms. Unlike traditional holography, this technique does not require the generation of an additional reference light to interfere with the calculated object light field. Texture mapping is a method that enhances the realism of 3D scenes. A fast method is presented that allows users to render holograms of 3D scenes consisting of triangular meshes with texture mapping. All calculations are performed with analytical expressions to ensure that the holograms generated by this method are fast and can reconstruct three-dimensional scenes with high quality. Using this method, a hologram of a three-dimensional scene consisting of thousands of triangles is generated. Our algorithm generates the same reconstruction results as those of Kim et al. [Appl. Opt.47, D117 (2008)APOPAI0003-693510.1364/AO.47.00D117], but significantly reduces the computation time (the computation time of our algorithm is only one-third of that of Kim et al.'s algorithm). The results show that the proposed method is computationally efficient as compared to a previous work. The proposed method is verified by simulations and optical experiments.
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Sun L, Wang X, Chen R, Dong X, Sun J, Dong C, Xie H, Gu X, Zhao C. Engineering organelle-specific activatable molecules for ultra-fast and reliable in situ mapping of subcellular nitric oxide. J Mater Chem B 2024; 12:2304-2312. [PMID: 38348949 DOI: 10.1039/d3tb02920d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Nitric oxide (NO), a ubiquitous gaseous transmitter in living systems, is closely associated with physiopathological processes in the endoplasmic reticulum and lysosomes. This free radical gas is very widely but very heterogeneously distributed in the biological microenvironment, which poses a great challenge to specifically detect its localized levels in certain subcellular regions. In this study, we proposed six subcellular targeting probes by rational molecular engineering and selected two probes with optimal performance for the precise spatiotemporal identification of endoplasmic reticulum (ER) and lysosomal NO fluctuations. The probes could rapidly undergo a N-nitrosation reaction with NO at a riveted subcellular location, blocking the initial photoinduced electron transfer (PET) process and generating bright fluorescence for precise mapping of NO in the ER and lysosomes. The screened probes have ultra-sensitive reactivity and ultra-low detection limits for NO, realizing the precise depiction of exogenous and endogenous NO in the corresponding subcellular area. Fluctuations in the subcellular levels of NO during inflammation were also successfully mapped by the probes. Our work will contribute to the accurate study of the physiological and pathological consequences of subcellular NO in various biological events.
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Affiliation(s)
- Lixin Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
| | - Xinyu Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
| | - Rui Chen
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
| | - Xuemei Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
| | - Chengjun Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
| | - Haijiao Xie
- Hangzhou Yanqu Information Technology Co., Ltd, Y2, 2nd Floor, Building 2, Xixi Legu Creative Pioneering Park, No. 712 Wen'er West Road, Xihu District, Hangzhou, Zhejiang, 310003, P. R. China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, P. R. China.
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China.
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Zhang Y, Liu Y, Gu X, Wang N, Wan J, Zhang Y, Chen L. [Epidemiological and clinical features of newly reported advanced schistosomiasis cases in Sichuan Province from 2011 to 2022]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:621-625. [PMID: 38413023 DOI: 10.16250/j.32.1374.2023148] [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
OBJECTIVE To analyze the epidemiological characteristics of newly reported advanced schistosomiasis cases in Sichuan Province, so as to provide the evidence for analyzing the causes and formulating targeted control measures of newly reported advanced schistosomiasis cases. METHODS Individual case investigation forms for advanced schistosomiasis cases were collected from the Sichuan Provincial Epidemic Annual Report System from 2011 to 2022, and patients' demographics, previous medical history and liver parenchymal grading were retrieved. All advanced schistosomiasis cases' medical records were reviewed, and the subtypes of schistosomiasis-endemic villages where the cases' household registration were, floating population, survival and death and time of death were collected. RESULTS A total of 321 newly reported advanced schistosomiasis cases were found in Sichuan Province from 2011 to 2022, with a male to female ratio of 0.99 to 1. There were 274 cases at ages of over 50 years (85.4%), with the highest proportion seen at ages of 60 to 69 years (87 cases, 27.1%), and splenomegaly was the most common type (180 cases, 56.1%), with no dwarfism type detected. The highest number of cases was reported in 2011 (78 cases), followed by in 2022 (74 cases), and the highest number of cases were reported in Meishan City (199 cases, 62.0%), Dongpo District (131 cases, 40.8%), and hilly subtype areas (136 cases, 42.4%). As of the end of 2022, there were 111 deaths due to advanced schistosomiasis, with the highest number of deaths seen in 2018 (25 deaths), and the highest mortality was seen among patients with the ascites type (41.2%). There were 47 (37.3%), 40 (59.5%) and 4 (23.5%) cases with grade III liver parenchyma among patients with splenomegaly, ascites, and colonic proliferation types, respectively, and there was a significant difference in the grading of III liver parenchyma among three types of patients (H = 12.092, P < 0.05), with more severe liver parenchyma injuries seen among patients with the ascites type than among those with splenomegaly and colonic proliferation type (Z = 24.262 and 44.738, both Padjusted values < 0.05). CONCLUSIONS There have been newly reported advanced schistosomiasis cases in Sichuan Province during recent years, and patients with the ascites type should be given a high priority among advanced schistosomiasis cases in Sichuan Province. Intensified clue surveys are needed for early identification and treatment of advanced schistosomiasis cases, so as to increase the survival rate and improve the quality of life.
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Affiliation(s)
- Y Zhang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - Y Liu
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - X Gu
- Zhongjiang County Station of Schistosomiasis Prevention and Control, Deyang City, Sichuan Province, China
| | - N Wang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - J Wan
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - Y Zhang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - L Chen
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
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Dong C, Zhu T, Sun J, Dong X, Sun L, Gu X, Zhao C. Self-Assembled Activatable Probes to Monitor Interactive Dynamics of Intracellular Nitric Oxide and Hydrogen Sulfide. Anal Chem 2024; 96:1259-1267. [PMID: 38206997 DOI: 10.1021/acs.analchem.3c04513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
The increasing understanding of the intricate relationship between two crucial gasotransmitters nitric oxide (NO) and hydrogen sulfide (H2S) in biological actions has generated significant interest. However, comprehensive monitoring of the dynamic fluctuations of endogenous NO and H2S remains a challenge. In this study, we have designed an innovative aggregation-induced reporter SAB-NH-SC with enhanced responsiveness to H2S for visualizing the fluctuations of intracellular NO and H2S. This probe leverages the hydrophilic properties of the pyridinium salt derivative, which can rapidly self-assemble into positively charged nanoparticles under physiological conditions, avoiding the introduction of organic solvents or tedious preparations. Notably, the reporter can repeatedly cycle S-nitrosation and SNO-transnitrosation reactions when successively treated with NO and H2S. Consequently, fluorescence alternation at 751 (H2S) and 639 nm (NO) facilitates the dynamic visualization of the alternating presence of H2S and NO within cells. This dynamic and reversible probe holds immense potential for unraveling the intricate interactions between NO and H2S in a complex network of biological applications.
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Affiliation(s)
- Chengjun Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Tianli Zhu
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Xuemei Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Lixin Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, P. R. China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
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Ouyang Z, Ma M, Zhang Z, Wu H, Xue Y, Jian Y, Yin K, Yu S, Zhao C, Guo W, Gu X. Targeted Degradation of PCSK9 In Vivo by Autophagy-Tethering Compounds. J Med Chem 2024; 67:433-449. [PMID: 38112492 DOI: 10.1021/acs.jmedchem.3c01634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Proprotein convertase subtilisin/kexin type-9 (PCSK9), a secreted protein that is synthesized and spontaneously cleaved in the endoplasmic reticulum, has become a hot lipid-lowering target chased by pharmaceutical companies in recent years. Autophagosome-tethering compounds (ATTECs) represent a new strategy to degrade targeted biomolecules. Here, we designed and synthesized PCSK9·ATTECs that are capable of lowering PCSK9 levels via autophagy in vivo, providing the first report of the degradation of a secreted protein by ATTECs. OY3, one of the PCSK9·ATTECs synthesized, shows greater potency to reduce plasma low-density lipoprotein cholesterol (LDL-C) levels and improve atherosclerosis symptoms than treatment with the same dose of simvastatin. OY3 also significantly reduces the high expression of PCSK9 caused by simvastatin administration in atherosclerosis model mice and subsequently increases the level of low-density lipoprotein receptor, promoting simvastatin to clear plasma LDL-C and alleviate atherosclerosis symptoms. Thus, we developed a new candidate compound to treat atherosclerosis that could also promote statin therapy.
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Affiliation(s)
- Zhirong Ouyang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Muye Ma
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Ziwen Zhang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Hongyu Wu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Yongxing Xue
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Yuting Jian
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Kai Yin
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Shaokun Yu
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, China
| | - Wei Guo
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai 201301, China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201301, China
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Dong X, Zhang Z, Wang R, Sun J, Dong C, Sun L, Jia C, Gu X, Zhao C. RSS and ROS Sequentially Activated Carbon Monoxide Release for Boosting NIR Imaging-Guided On-Demand Photodynamic Therapy. Small 2023:e2309529. [PMID: 38100303 DOI: 10.1002/smll.202309529] [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] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/06/2023] [Indexed: 12/17/2023]
Abstract
Carbon monoxide shows great therapeutic potential in anti-cancer. In particular, the construction of multifunctional CO delivery systems can promote the precise delivery of CO and achieve ideal therapeutic effects, but there are still great challenges in design. In this work, a RSS and ROS sequentially activated CO delivery system is developed for boosting NIR imaging-guided on-demand photodynamic therapy. This designed system is composed of a CO releaser (BOD-CO) and a photosensitizer (BOD-I). BOD-CO can be specifically activated by hydrogen sulfide with simultaneous release of CO donor and NIR fluorescence that can identify H2 S-rich tumors and guide light therapy, also depleting H2 S in the process. Moreover, BOD-I generates 1 O2 under long-wavelength light irradiation, enabling both PDT and precise local release of CO via a photooxidation mechanism. Such sequential activation of CO release by RSS and ROS ensured the safety and controllability of CO delivery, and effectively avoided leakage during delivery. Importantly, cytotoxicity and in vivo studies reveal that the release of CO combined with the depletion of endogenous H2 S amplified PDT, achieving ideal anticancer results. It is believed that such theranostic nanoplatform can provide a novel strategy for the precise CO delivery and combined therapy involved in gas therapy and PDT.
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Affiliation(s)
- Xuemei Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Ziwen Zhang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Rongchen Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Chengjun Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Lixin Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Cai Jia
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100006, P. R. China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China
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Jing S, Dai Z, Wu Y, Liu X, Ren T, Liu X, Zhang L, Fu J, Chen X, Xiao W, Wang H, Huang Y, Qu Y, Wang W, Gu X, Ma L, Zhang S, Yu Y, Li L, Han Z, Su X, Qiao Y, Wang C. Prevalence and influencing factors of depressive and anxiety symptoms among hospital-based healthcare workers during the surge period of the COVID-19 pandemic in the Chinese mainland: a multicenter cross-sectional study. QJM 2023; 116:911-922. [PMID: 37561096 DOI: 10.1093/qjmed/hcad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND From November 2022 to February 2023, the Chinese mainland experienced a surge in COVID-19 infection and hospitalization, and the hospital-based healthcare workers (HCWs) might suffer serious psychological crisis during this period. This study aims to assess the depressive and anxiety symptoms among HCWs during the surge of COVID-19 pandemic and to provide possible reference on protecting mental health of HCWs in future infectious disease outbreaks. METHODS A multicenter cross-sectional study was carried out among hospital-based HCWs in the Chinese mainland from 5 January to 9 February 2023. The PHQ-9 (nine-item Patient Health Questionnaire) and GAD-7 (seven-item Generalized Anxiety Disorder Questionnaire) were used to measure depressive and anxiety symptoms. Ordinal logistic regression analysis was performed to identify influencing factors. RESULTS A total of 6522 hospital-based HCWs in the Chinse mainland were included in this survey. The prevalence of depressive symptoms among the HCWs was 70.75%, and anxiety symptoms was 47.87%. The HCWs who perceived higher risk of COVID-19 infection and those who had higher work intensity were more likely to experience depressive and anxiety symptoms. Additionally, higher levels of mindfulness, resilience and perceived social support were negatively associated with depressive and anxiety symptoms. CONCLUSION This study revealed that a high proportion of HCWs in the Chinese mainland suffered from mental health disturbances during the surge of the COVID-19 pandemic. Resilience, mindfulness and perceived social support are important protective factors of HCWs' mental health. Tailored interventions, such as mindfulness practice, should be implemented to alleviate psychological symptoms of HCWs during the COVID-19 pandemic or other similar events in the future.
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Affiliation(s)
- S Jing
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Z Dai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - T Ren
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Fu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Xiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Huang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Qu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Wang
- School of Nursing, Jining Medical University, Jining, Shandong, China
| | - X Gu
- Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China
| | - L Ma
- Public Health School, Dalian Medical University, Dalian, China
| | - S Zhang
- Henan Cancer Hospital, Affiliate Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Y Yu
- The First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia Autonomous Region, China
| | - L Li
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong, China
| | - Z Han
- China Foreign Affairs University, Beijing, China
| | - X Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - C Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Chinese Academy of Engineering, Beijing, China
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8
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Zheng Z, Gao J, Wang R, Dong C, Dong X, Sun J, Sun L, Gu X, Zhao C. Molecular Engineering of Luminogens for High-Integrity Imaging of Hydrogen Polysulfides via Activatable Aggregation-Induced Dual-Color Fluorescence. ACS Nano 2023; 17:22060-22070. [PMID: 37889140 DOI: 10.1021/acsnano.3c08767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Understanding biological events associated with H2Sn rather than mediated by H2S is of great significance but remains to be solved due to a lack of high-integrity imaging tools. In this study, we report a chemoselective probe for H2Sn over H2S through the molecular engineering of luminogens. Based on our search for H2Sn-activatable probes with high selectivity, we fabricate water-soluble and biocompatible nanoprobes. Such a designed nanoprobe shows rare aggregation-induced dual-color fluorescence responses to H2Sn, lighting up bright emissions at 588 and 750 nm, respectively. By use of this activatable dual-color fluorescence, high-integrity identification of intracellular H2Sn was successfully realized. Thus, our approach to H2Sn-activated multicolor fluorescent probes could provide valuable insight into interrogating H2Sn-mediated biological events.
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Affiliation(s)
- Zhecha Zheng
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Jinzhu Gao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Rongchen Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Chengjun Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Xuemei Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Lixin Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, People's Republic of China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, People's Republic of China
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Gonçalves M, Khera T, Otu HH, Narayanan S, Dillon ST, Shanker A, Gu X, Jung Y, Ngo LH, Marcantonio ER, Libermann TA, Subramaniam B. Multivariable model of postoperative delirium in cardiac surgery patients: proteomic and demographic contributions. medRxiv 2023:2023.05.30.23289741. [PMID: 37333093 PMCID: PMC10274980 DOI: 10.1101/2023.05.30.23289741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background Delirium following cardiac surgery is common, morbid, and costly, but may be prevented with risk stratification and targeted intervention. Preoperative protein signatures may identify patients at increased risk for worse postoperative outcomes, including delirium. In this study, we aimed to identify plasma protein biomarkers and develop a predictive model for postoperative delirium in older patients undergoing cardiac surgery, while also uncovering possible pathophysiological mechanisms. Methods SOMAscan analysis of 1,305 proteins in the plasma from 57 older adults undergoing cardiac surgery requiring cardiopulmonary bypass was conducted to define delirium-specific protein signatures at baseline (PREOP) and postoperative day 2 (POD2). Selected proteins were validated in 115 patients using the ELLA multiplex immunoassay platform. Proteins were combined with clinical and demographic variables to build multivariable models that estimate the risk of postoperative delirium and bring light to the underlying pathophysiology. Results A total of 115 and 85 proteins from SOMAscan analyses were found altered in delirious patients at PREOP and POD2, respectively (p<0.05). Using four criteria including associations with surgery, delirium, and biological plausibility, 12 biomarker candidates (Tukey's fold change (|tFC|)>1.4, Benjamini-Hochberg (BH)-p<0.01) were selected for ELLA multiplex validation. Eight proteins were significantly altered at PREOP, and seven proteins at POD2 (p<0.05), in patients who developed postoperative delirium compared to non-delirious patients. Statistical analyses of model fit resulted in the selection of a combination of age, sex, and three proteins (angiopoietin-2 (ANGPT2); C-C motif chemokine 5 (CCL5); and metalloproteinase inhibitor 1 (TIMP1); AUC=0.829) as the best performing predictive model for delirium at PREOP. The delirium-associated proteins identified as biomarker candidates are involved with inflammation, glial dysfunction, vascularization, and hemostasis, highlighting the multifactorial pathophysiology of delirium. Conclusion Our study proposes a model of postoperative delirium that includes a combination of older age, female sex, and altered levels of three proteins. Our results support the identification of patients at higher risk of developing postoperative delirium after cardiac surgery and provide insights on the underlying pathophysiology. ClinicalTrials.gov ( NCT02546765 ).
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10
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Yang Z, Zamarud A, Marianayagam N, Park D, Yener U, Soltys SG, Chang SD, Meola A, Lu W, Gu X. Overall Survival Prediction in Stereotactic Radiosurgery Patients with Glioblastoma Via a Deep-Learning Approach. Int J Radiat Oncol Biol Phys 2023; 117:e159. [PMID: 37784752 DOI: 10.1016/j.ijrobp.2023.06.988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate and automated early survival prediction is critical for glioblastoma (GBM) patients as their poor prognosis requires timely treatment decision-making. We have developed a deep learning (DL)-based GBM overall survival (OS) prediction model based on a multi-institutional public dataset using only pre-operative basic structural multi-parametric magnetic resonance images (MRIs). The purpose of this study is to evaluate this DL-based OS prediction model with an institutional stereotactic radiosurgery (SRS) clinical trial dataset. MATERIALS/METHODS The task of this study is to classify GBM patients into 3 OS classes: long-survivors (>15 months), mid-survivors (between 10 and 15 months) and short-survivors (< 10 months). The proposed OS prediction model is an ensemble of a ResNet-based classifier and a K-NN classifier. The ResNet-based classifier is trained in a Siamese fashion to explore inter-class differences. During testing, training sample features are implemented with a K-NN classifier to ensemble with the ResNet-based classifier. A public dataset from Medical Image Computing and Computer Assisted Intervention (MICCAI) Brain Tumor Segmentation (BraTS) challenge 2020 (235 patients) were used for model establishing and initial validation. Then the validated model was evaluated on 19 GBM patients from an institutional SRS clinical trial. Each data entry consists of pre-operative basic structural multi-parametric MRIs and survival days, as well as patient ages for BraTS data and basic clinical characteristics for institutional data. GBM sub-regions, including contrast-enhancing tumor, peri-tumoral edema, and necrotic/non-enhancing tumor core, were segmented in the multi-parametric MRIs by an in-house DL model for both datasets. The OS prediction model was trained on 90% of the segmented BraTS data and validated on the rest 10%, then further evaluated on the institutional data. The model performance was assessed by prediction accuracy (ACC) and the area under the curve (AUC). RESULTS For this 3-class OS classification task, our DL-based prediction model achieved an ACC of 65.22% and an AUC of 0.81 on the BraTS dataset compared with the top-ranked result from the BraTS challenge 2020 (Rank 1st: ACC 61.7%), and an ACC of 52.63% and an AUC of 0.69 on the institutional dataset. Further analysis of the institutional dataset found that the predicted OS class had a statistically significant correlation with treatment volume (p = 0.012) and age (p = 0.006), which matches the analysis that the patients' ground truth OS class is statistical significantly correlated with treatment volume (p = 0.045). CONCLUSION Our DL-based OS prediction model for GBM using basic structural multi-parametric pre-operative MRIs has demonstrated promising performance in both public and institutional dataset with minimal manual processing requirements. This OS prediction model can be potentially applied to assist timely clinical decision-making.
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Affiliation(s)
- Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - A Zamarud
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - N Marianayagam
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - D Park
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - U Yener
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - S G Soltys
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S D Chang
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - A Meola
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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11
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Montalvo SK, Ravella R, Zhang-Velten ER, Li X, Desai NB, Dan T, Timmerman RD, Jiang SB, Gu X, Parsons DDM, Kumar KA. Cardiac Sparing with Volumetric Modulated Arc Therapy Enabled Total Body Irradiation (CS VMAT-TBI). Int J Radiat Oncol Biol Phys 2023; 117:e477-e478. [PMID: 37785513 DOI: 10.1016/j.ijrobp.2023.06.1693] [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) Volumetric modulated arc therapy (VMAT) enabled total body irradiation (TBI) has replaced conventional TBI in our institution given the improved treatment accuracy, patient comfort, and dose modulation ability. The risk of cardiovascular disease is several folds higher among transplant patients who receive TBI, likely related to dose to the heart. We hypothesize that a cardiac-sparing (CS) VMAT-TBI technique is feasible and can meaningfully reduce dose to the heart while still adequately covering nearby lymphatic tissue. MATERIALS/METHODS VMAT-TBI is delivered via multi-isocentric external beams in a frame-based setup. Heart is contoured as per published guidelines. A lymph node contour, which includes tonsils, neck nodal stations, mediastinal, abdominal, retroperitoneal, and pelvic nodes is created. Coverage of the lymph node contour is prioritized over organ-sparing during inverse optimization; with a goal of V90% greater than 99.5% and mean dose less than 800 cGy for the lymph nodes and heart, respectively. An IRB-approved retrospective review was performed with mean heart dose collected for all patients treated with CS VMAT-TBI and compared to a representative cohort of five patients treated with VMAT-TBI without cardiac sparing. RESULTS Thirty-one patients were treated with CS VMAT-TBI between 2020-2022 with a median follow up time of 11.5 months. Mean heart dose was 796 ± 71 cGy in the CS VMAT-TBI compared to 1247 ± 29 cGy in the VMAT-TBI group without cardiac sparing (p < 0.001). Of those treated with CS VMAT-TBI, three patients relapsed; one relapse occurred in bone marrow only, one relapse occurred in bone marrow and cervical, thoracic, and intra-abdominal lymphoid tissues, and one patient was simulated but never received induction therapy due to overt progression. 100-day relapse-free survival and overall survival were 82.5% and 86.2%, respectively. Median survival time has not been met. CONCLUSION Cardiac sparing is feasible in VMAT-TBI and is associated with significant decrease in mean heart dose of ∼450 cGy. This is estimated to confer a 33.3% decreased absolute risk for lifetime major coronary events compared to patients treated with VMAT-TBI without cardiac sparing. Although limited by short follow-up time, there does not appear to be a significant risk for early relapse despite de-escalating cardiac tissue, likely due to prioritizing coverage of lymph nodes. Prospective clinical studies are needed to further validate cardiac and other organ at risk sparing VMAT-TBI techniques.
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Affiliation(s)
- S K Montalvo
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Ravella
- UT Southwestern Medical Center, Dallas, TX
| | - E R Zhang-Velten
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Li
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - N B Desai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - T Dan
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S B Jiang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - K A Kumar
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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12
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Jiang H, Fu J, Melemenidis S, Viswanathan V, Dutt S, Lau B, Soto LA, Manjappa R, Skinner L, Yu SJ, Surucu M, Graves EE, Casey K, Rankin E, Lu W, Loo BW, Gu X. An Online AI-Powered Interactive Histological Image Annotation Platform for Analyzing Intestinal Regenerating Crypts in Post-Irradiated Mice. Int J Radiat Oncol Biol Phys 2023; 117:e676. [PMID: 37785993 DOI: 10.1016/j.ijrobp.2023.06.2130] [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 goal of this project is to build an online AI-powered interactive annotation platform to accurately and efficiently annotate intestinal regenerating crypts in histological images of mice after abdominal irradiation. MATERIALS/METHODS The proposed platform is developed by the seamless integration of a front-end web client and a back-end server. Such client/server design allows the users to access the platform without software installation on local computers. Our front-end client is developed with SvelteJS + WebGL technology stack, allowing access from any common web browsers and enabling user interaction, such as image importing/visualization, interactive crypt annotating, and annotation saving/deleting. The back-end server is responsible for executing the tasks requested from the web client, for instance, image pre-processing, AI-based crypts automatic identification, and database management. The image preprocessing is designed to extract a single cross section image using morphological operations because multiple hematoxylin and eosin (H&E) stained jejunum cross sections from post-irradiated mice are scanned within one slide. The auto-crypt identification is powered by a trained and validated AI engine U-Net, classifying image grid tiles into two groups with and without regenerating crypts. The database is implemented with the self-contained SQLite to support recording and indexing the annotated grid tiles with regenerating crypts. The workflow for crypt analysis on this interactive platform has 5 steps: 1) manually import a whole H&E slide image; 2) auto-preprocess the slide by extracting single cross-section images; 3) auto-identify regenerating crypts with an AI engine; 4) interactively annotate (add, delete, modify) auto-identified crypt markers; 5) save and/or output the annotation to the database or the local drive. RESULTS The performance of the developed interactive crypt analysis platform was evaluated in aspects of accuracy and efficiency. The AI-powered crypt auto-identification accuracy was assessed by computing the mean absolute error (MAE) on crypt number per cross section between manual and auto annotation using a testing dataset containing 80 cross sections. It achieved an MAE of 3.5±4.8 crypts per cross section, and 81.25% of the cross sections have no more than 5 crypts difference. The efficiency was assessed under two conditions with the server on the cloud and a local computer. It took about 2-3 minutes to finish the entire workflow on the cloud, while 1-2 minutes on the local by saving ∼1 minute on image uploading. CONCLUSION The developed web client/server platform enables online automatic identification and interactive annotation of mice crypts in minutes. It is a convenient tool that allows accurate and efficient crypt analysis and can be extended for other histologic image analyses.
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Affiliation(s)
| | - J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Melemenidis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - V Viswanathan
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Dutt
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L A Soto
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R Manjappa
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S J Yu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - E E Graves
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - K Casey
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA
| | - E Rankin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - B W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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13
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Cai S, Xie L, Li M, Gu X, Tian Y. Green Tea Derivative (-)-Epigallocatechin-3-Gallate (EGCG) for Prevention of Acute Radiation-Induced Intestinal Injury: A Prospective Phase II Clinical Study in Pelvic Cancer Patients. Int J Radiat Oncol Biol Phys 2023; 117:e505. [PMID: 37785584 DOI: 10.1016/j.ijrobp.2023.06.1755] [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) Radiation-induced intestinal injury (RIII) remains the most common dose-limiting toxicity following radiotherapy (RT) for pelvic malignancies. However, few efficient and safe methods for the prevention of RIII are available in the clinical practice. Our previous study proved that the green tea polyphenol (-)-epigallocatechin-3-gallate (EGCG) efficiently attenuates radiation-induced intestinal injury (RIII) in animal level. Therefore, this prospective phase II clinical study (ChiCTR2100053703) evaluated the efficacy of EGCG in the prevention of RIII. MATERIALS/METHODS Cervical or endometrial cancer patients who received adjuvant or radical RT in our department were enrolled, 400mg EGCG was taken daily, and RIII was evaluated weekly according to the RTOG criteria. RESULTS Between February 2022 to January 2023, 37 patients were enrolled (30 were cervical cancer and the other 7 were endometrial cancer), and were followed-up regularly. Among them, the majority patients (75.7%, 28 patients) developed grade 0 or 1 RIII, for which no medical intervention was required. Meanwhile, the occurrence of grade 2 RIII was 24.3% (9 patients), which was significantly lower than that in the historical controls (usually 60% to 80%). Besides that, no patients developed grade 3 or worse RIII. CONCLUSION In this phase II clinical trial, compared to historical controls, the prophylactic use of EGCG significantly reduced the incidence and severity of RIII in patients receiving pelvic RT. Therefore, EGCG has the potential to become a novel medical countermeasure for the prevention of RIII for pelvic cancer patients.
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Affiliation(s)
- S Cai
- Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - L Xie
- Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - M Li
- Soochow University, Suzhou, China
| | - X Gu
- The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Y Tian
- Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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14
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Rahimi AS, Kim N, Leitch M, Gu X, Parsons DDM, Nwachukwu CR, Alluri PG, Lu W, Nichols EM, Becker SJ, Ahn C, Zhang Y, Spangler A, Farr D, Wooldridge R, Bahrami S, Stojadinovic S, Lieberman M, Neufeld S, Timmerman RD. Multi-Institutional Phase II Trial Using Dose Escalated Five Fraction Stereotactic Partial Breast Irradiation (S-PBI) with GammaPod TM for Early-Stage Breast Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e203. [PMID: 37784857 DOI: 10.1016/j.ijrobp.2023.06.1082] [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) We report on our early experience of a multi-institutional phase II study of dose escalated five fraction stereotactic partial breast irradiation (S-PBI) for early-stage breast cancer after partial mastectomy using the GammaPodTM stereotactic radiation system. MATERIALS/METHODS Patient eligibility included DCIS or invasive epithelial histologies, AJCC clinical stage 0, I, or II with tumor size < 3 cm, and negative margins. Prior safety of Phase I dose escalation has been reported. Dose was 40 Gy delivered in 5 fractions to the CTV, and minimum dose 30 Gy in 5 fractions to the PTV. CTV margin was 1 cm and PTV margin 3 mm. For PTV cavities larger than 100cc, dose was reduced to 35Gy in 5 fractions to the CTV and 30 Gy in 5 fractions to the PTV. Primary endpoint of the study is to determine the 3-year patient global cosmesis score (4-point scale excellent, good, fair, or poor) and adverse cosmesis using a dose escalated approach with smaller PTV margins than conventional methods. Both patients and physicians completed baseline and subsequent cosmesis outcome questionnaires. Treatment related toxicity was graded using the NCI version 4.0 and RTOG/EORTC late radiation scale. RESULTS From 3/2019-10/2021, 74 patients were treated respectively. Of these, 38 were treated to 40Gy and 36 were treated to 35 Gy. Median follow up (f/u) was 24 months (mo), range (r) 3-39mo. Median age was 63 years (r 43-77). Histology included 28 DCIS, and 46 invasive carcinomas. 45/46 invasive tumors were ER+. 60/74 (81%) patients received endocrine therapy, and 7/74 patient received chemotherapy. There were 221 acute grade 1 toxicities, and 28 Grade 2 toxicities. No grade 3 or higher acute toxicities were reported (< 90 days). The most common Grade 2 toxicities were radiation dermatitis (10), breast pain (8), blister (4), skin infection (2), nipple discharge (2), and fatigue (2). In the late period, there were 54 Grade 1 late toxicities, 4 Grade 2 late toxicities, and no Grade 3 or higher late toxicities. Grade 2 toxicities included fibrosis (2), and pain (2). Two patients developed grade 1 asymptomatic nonpalpable fat necrosis both diagnosed at 12 months after radiation treatments. The most common grade 1 late toxicities were breast pain (14), hyperpigmentation (8), fibrosis (10), and fatigue (5). Physicians scored cosmesis excellent or good 70/73 (95.8%), 58/60 (96.7%), 36/36 (100%),17/17(100%) respectively at baseline, 12 months, 24 months, and 36months post SBRT, while patients scored the same periods 62/71 (83.7%), 53/59 (89.8%), 33/36 (91.6%), 17/18 (94.4%). There have been no reports of disease recurrences. CONCLUSION Results at 24-month median follow-up, of our dose escalated stereotactic partial breast 5 fraction regimen, has low acute and late toxicity, while maintaining high proportion of excellent/good cosmetic outcomes. Continued analysis of all cohorts is in progress. CLINICAL TRIALS gov identifier is NCT03581136.
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Affiliation(s)
- A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - M Leitch
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Stanford University Department of Radiation Oncology, Palo Alto, CA
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - C R Nwachukwu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - E M Nichols
- University of Maryland School of Medicine, Baltimore, MD
| | - S J Becker
- University of Maryland School of Medicine, Baltimore, MD
| | - C Ahn
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Y Zhang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - A Spangler
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D Farr
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Wooldridge
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Bahrami
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Stojadinovic
- University of Texas Southwestern Medical Center, Dallas, TX
| | - M Lieberman
- University of Texas Southwestern Medical Center, Dallas, TX
| | - S Neufeld
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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15
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Fu J, Jiang H, Melemenidis S, Viswanathan V, Dutt S, Lau B, Soto LA, Manjappa R, Skinner L, Yu SJ, Surucu M, Graves EE, Casey K, Rankin E, Lu W, Loo BW, Gu X. Deep Learning-Based Pipeline for Automatic Identification of Intestinal Regenerating Crypts in Mouse Histological Images. Int J Radiat Oncol Biol Phys 2023; 117:S117-S118. [PMID: 37784305 DOI: 10.1016/j.ijrobp.2023.06.451] [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) A classical approach for evaluating normal tissue radiation response is to count the number of intestinal regenerating crypts in mouse histological images acquired after abdominal radiation. However, manual counting is time-consuming and subject to inter-observer variations. The goal of this study is to build a deep learning-based pipeline for automatically identifying intestinal regenerating crypts to facilitate high-throughput studies. MATERIALS/METHODS Sixty-six healthy C57BL/6 female mice underwent 16 MeV whole abdominal electron irradiation. The small bowel was collected from each mouse 4 days post-irradiation, and 9 jejunal cross-sections from each were processed together in a single slide. The slides were stained with hematoxylin and eosin (H&E) and subsequently scanned (x20), providing one electronic histological image per mouse. Regenerating crypts, consisting of more than 10 basophilic crypt epithelial cells, were manually identified using point annotations in histological images. The pipeline was built to take the input of the image containing 9 cross sections and automatically identify the regenerating crypts on each cross section. It mainly consists of two components, cross section segmentation using intensity thresholding and morphological operations and crypt identification using a UNet. The dataset was randomly split into 46, 10, and 10 slide images for UNet training, validation, and testing. Each slide image was split into grid tiles with a voxel size of 200 × 200, and 40 × 40 square masks were placed with centers at manual point annotations on tiles with regenerating crypts. 5203/5198 tiles (w/wo crypt mask) were extracted to train UNet by minimizing dice loss. The mask probability map generated by the UNet was post-processed to identify the crypt position. Postprocessing hyperparameters were tuned using the validation dataset. The model accuracy was evaluated using the testing dataset by computing the mean absolute error (MAE) of the crypt number averaged across all cross sections. RESULTS The number of regenerating crypts on testing cross sections ranges from 1 to 63. The testing cross-section-wise MAE achieved by the platform is 3.5±4.8 crypts. 81.25% of testing cross sections have absolute number differences less than or equal to 5 crypts. CONCLUSION Our established deep learning-based pipeline can accurately count the number of regenerating crypts in mouse intestinal histological images. We have integrated it into an online platform that enables automatic crypt identification and allows users to interactively modify auto-identified crypt annotations. The acquired annotations from the platform will be used to finetune the deep learning model to achieve better identification performance.
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Affiliation(s)
- J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | | | - S Melemenidis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - V Viswanathan
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Dutt
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L A Soto
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R Manjappa
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S J Yu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - E E Graves
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - K Casey
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA
| | - E Rankin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - B W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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16
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Yang Z, Fu J, Melemenidis S, Viswanathan V, Dutt S, Lau B, Soto LA, Manjappa R, Skinner L, Yu SJ, Surucu M, Casey K, Rankin E, Lu W, Jr BWL, Gu X. Equivalent Dose Estimation in FLASH Irradiation with a Deep Learning Approach. Int J Radiat Oncol Biol Phys 2023; 117:e272. [PMID: 37785029 DOI: 10.1016/j.ijrobp.2023.06.1241] [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) Ultra-high dose rate (FLASH) irradiation has been reported to provide decreased normal tissue toxicity without compromising tumor control compared with conventional (CONV) irradiation. However, a comprehensive understanding of the FLASH biological effect requires precise quantification of radiobiology. The study is to explore whether deep learning (DL) can tackle the task. As a proof of concept, we investigate a DL model for estimating FLASH dose to its equivalent CONV dose. MATERIALS/METHODS Healthy C57Bl/6 female mice underwent FLASH (200Gy/s; n = 43) or CONV (0.12Gy/s; n = 41) whole abdominal irradiation using ∼16 MeV electron beams with a dose escalation scheme of 5 groups (n = 8 or 9) at 1Gy increments: 12-16Gy FLASH, 11-15Gy CONV. 4 days post-irradiation, 9 jejunum cross-sections per mouse were H&E stained for histological analysis. Each cross-section image was processed to remove lumen background and oversampled into multiple large-scale and small-scale patches along jejunal circumference. In CONV dataset, we randomly selected the data of 32 mice (80%) for model training and the rest (20%) for model validation. A ResNet101-based DL model, pre-trained with an unsupervised contrastive learning scheme, was retrained with only CONV training set to estimate corresponding CONV dose. For comparison, a crypt counting (CC) approach was implemented by manually counting the number of regenerating crypts on each cross-section image. An exponential function of dose vs crypt number was fitted with the CONV training set and used for dose estimation on the testing set. Mean squared error (MSE) was used to assess the accuracy of DL and CC approaches in estimating dose levels in CONV irradiation. The validated DL model was applied to the FLASH set to project FLASH dose into corresponding CONV dose that results in equivalent biological response. RESULTS The CONV dose estimated by DL and CC approaches and DL-estimated FLASH equivalent dose were summarized in Table 1. The DL model achieved an MSE of 0.21 Gy2 on CONV testing set compared with 0.32 Gy2 of the CC approach. FLASH equivalent dose estimated by DL model for 12, 13, 14, 15 and 16Gy were 12.16±0.40, 12.53±0.32, 12.72±0.24, 12.85±0.20 and 13.04±0.27 Sv, respectively. CONCLUSION Our proposed DL model can accurately estimate the CONV dose based on histological images. The DL predictions of FLASH dataset demonstrate that FLASH may reduce normal tissue toxicity with a lower equivalent dose, especially at high irradiated dose levels. Our study indicates that deep learning can be potentially used to assess the equivalent dose of FLASH irradiation to normal tissue.
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Affiliation(s)
- Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Melemenidis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - V Viswanathan
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Dutt
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L A Soto
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R Manjappa
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S J Yu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - K Casey
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA
| | - E Rankin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B W Loo Jr
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Kwon YS, Parsons DDM, Kim N, Lu W, Gu X, Stojadinovic S, Alluri PG, Arbab M, Lin MH, Chen L, Gonzalez Y, Chiu TD, Zhang Y, Timmerman RD, Rahimi AS. Assessment of Cardiac Radiation Dose in the Co-60 Prone Based Stereotactic Partial Breast Irradiation (CP-sPBI) Using the Distance from the Heart to the Planning Treatment Volume as a Surrogate Marker. Int J Radiat Oncol Biol Phys 2023; 117:e682. [PMID: 37786008 DOI: 10.1016/j.ijrobp.2023.06.2144] [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) Irradiation of the breast has shown to provide sharp dose gradients using Co-60 prone based stereotactic partial breast irradiation (CP-sPBI), a contemporary device for stereotactic radiotherapy for breast cancer (BC) for accelerated partial breast irradiation (APBI). In addition, the precise setup of CP-sPBI permits a small planning treatment volume (PTV) margin of 3 mm creating a greater distance from PTV to organs at risk. However, to date the factors that influence dose gradients and subsequent cardiac doses of ionizing radiation using CP-sPBI have not been well-studied. Here we evaluate distance of the heart to the lumpectomy PTV cavity and how this effects cardiac dose. MATERIALS/METHODS A retrospective database of 113 consecutive patients treated by CP-sPBI for APBI from March 2019 to February 2023 who were treated with 30 Gy in 5 fractions were queried for analysis. The minimum distance from the heart to the PTV (hP) was measured in either the axial or sagittal view. A group of 28 patient cases were randomly selected to achieve an even distribution of 28 cases with hP < 2.75 cm and hP ≥ 2.75 cm to compare cardiac toxicities based on hP. Descriptive analyses were performed to evaluate various cardiac dosimetric parameters based on laterality of BC and hP, using the student's t test. RESULTS The mean (range) hP was 4.58 cm (0.80-12.23) for all cases. The subgroup analyses of 28 patient cases with cardiac parameters showed the heart mean (range) dose of 1.20 Gy (0.01-2.11). The mean and max heart dose to the left-sided BC were similar to those to the right-sided BC (mean dose: 1.20 vs. 1.19 Gy; P = 0.97 and max dose: 10.47 vs. 5.66 Gy; P = 0.06). An inverse correlation between hP and mean heart dose was shown with the correlation coefficient of -0.81. Using a cutoff of 2.75 cm hP, the differences between hP < 2.75 and hP ≥ 2.75 cm for all cardiac dosimetric evaluations were all statistically significant, including mean (1.67 vs. 0.79 Gy; p<0.01) and maximal heart dose (14.48 vs. 4.11 Gy; p<0.01) CONCLUSION: CP-sPBI treatment delivery system was able to achieve acceptable clinically relevant heart dosimetric parameters when delivering 5 fraction APBI with a mean heart dose of 1.20 Gy for all locations of PTV cavity volume in the breast. Due to CP-sPBIs excellent dose fall-off characteristics, APBI using CP-SPBI showed clinically acceptable cardiac dosimetric parameters, particularly for PTVs located > 2.75 cm from the heart.
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Affiliation(s)
- Y S Kwon
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - X Gu
- Stanford University Department of Radiation Oncology, Palo Alto, CA
| | - S Stojadinovic
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M Arbab
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - L Chen
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Y Gonzalez
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T D Chiu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - Y Zhang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Simmons A, Sher DJ, Kim N, Leitch M, Haas JA, Gu X, Ahn C, Gao A, Spangler A, Morgan HE, Farr D, Wooldridge R, Seiler S, Goudreau S, Bahrami S, Neufeld S, Mendez C, Lieberman M, Timmerman RD, Rahimi AS. Financial Toxicity and Patient Experience Outcomes on a Multi-Institutional Phase I Single Fraction Stereotactic Partial Breast Irradiation Protocol for Early-Stage Breast Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e259-e260. [PMID: 37784994 DOI: 10.1016/j.ijrobp.2023.06.1212] [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) Given the demonstrated financial toxicity (FT) of radiation treatment on breast cancer patients shown in both conventional and our recent 5 fraction stereotactic APBI (S-PBI) study, we assessed the FT, as well as patient-reported utility, quality-of-life and patient experience measures, on patients treated in our phase I single fraction S-PBI trial. MATERIALS/METHODS A phase I single fraction dose escalation trial of S-PBI for early-stage breast cancer was conducted. Women with in-situ or stage I-II (AJCC 6) invasive breast cancer following breast conserving surgery were treated with S-PBI in 1 fraction to a total dose of 22.5, 26.5 or 30 Gy (Clinical trials.gov ID NCT02685332). At one month follow-up, patients were asked to complete our novel "Patient Perspective Cost and Convenience of Care Questionnaire". Patients also completed the EQ-5D-5L, including the visual analogue scale of overall health (VAS), at enrollment, 6, 12-, 24-, 36-, and 48-month follow-up. RESULTS Of 29 patients enrolled and treated, questionnaire data was available for all patients. Our trial encompassed a wide range of annual household incomes, education, and employment status. Overall, 44.8% (n = 13/29) of patients reported that radiation treatment presented a financial burden. Interestingly, no demographic information, such as patient race, marital status, education, household income, or employment during treatment predicted perceived FT. Patients reporting FT trended towards younger age (median 64 vs 70.5) and having a cancer related co-pay similar to our 5 fraction S-PBI FT trial; however, due to the small size of this study, this did not reach significance (p = 0.24 and 0.10, respectively). VAS and utility scores were calculated per the EQ-5D-5L and remained unchanged from baseline through 4-year follow-up. Likewise, there was no difference in the utility or VAS between patients who reported FT and those who did not. Interestingly, while patient reported cosmesis was similar for all patients at enrollment, patients who reported FT noted significantly worse cosmesis scores (fair/poor vs good/excellent) at 6 month and 2-year follow-ups (p = 0.01 and 0.04, respectively). Finally, patients were surveyed on treatment related disruption to their daily activities and enjoyment of life. The median values were 0 (scale 0-10, with 0 being no disruption) regardless of perceived FT. Patients were also uniformly satisfied with treatment time with a median score of 10 (scale 0-10, 10 being most satisfied). CONCLUSION Here, we show that despite using SPBI in a single fraction, nearly half of the patients treated still reported FT of treatment. Importantly, single fraction S-PBI has no negative impact on patient VAS or utility scores, and all patients were uniformly satisfied with treatment time without significant disruption to their life.
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Affiliation(s)
- A Simmons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D J Sher
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - M Leitch
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - J A Haas
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University Langone Hospital - Long Island, Mineola, NY
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - C Ahn
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Gao
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Spangler
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - D Farr
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Wooldridge
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Seiler
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Goudreau
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Bahrami
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Neufeld
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - C Mendez
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University Langone Hospital - Long Island, Mineola, NY
| | - M Lieberman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Yang Z, Chen M, Kazemimoghadam M, Wardak Z, Chukwuma C, Stojadinovic S, Timmerman RD, Dan T, Lu W, Gu X. Predicting Neurocognitive Decline in Multiple Brain Metastases Patients Undergoing Distributed Stereotactic Radiosurgery. Int J Radiat Oncol Biol Phys 2023; 117:e159. [PMID: 37784751 DOI: 10.1016/j.ijrobp.2023.06.987] [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) Stereotactic radiosurgery (SRS) is the standard of care for treating a limited number (<3) of brain metastasis (BMs), which offers reduced neurotoxicity compared to whole brain radiotherapy (WBRT). Contemporary advancements in SRS made it possible to also commonly treat multiple (>4) BMs (mBMs). Emphasizing the value of preserving quality of life (QoL) after SRS, there is an urgent need for a systematic study of potential neurocognitive decline in patients receiving SRS treatment for mBMs. The purpose of this study is to use routine MRIs to predict neurocognitive decline for patients treated with distributed SRS, allowing for timely and effective treatment strategy design. MATERIALS/METHODS This study uses data from an institutional phase I/II clinical trial to determine the neurocognitive decline in patients with (>6) mBMs treated with distributed SRS. In the first 12 months post-SRS, participants are followed and evaluated with routine MRIs and the Hopkins Verbal Learning Test-Revised (HVLT-R) at 2 to 3-month intervals. Changes in HVLT-Delayed Recall scores between two visits are used to define neurocognitive decline. For each visit, an in-house deep learning model segments 66 cortical and 55 subcortical brain regions of interest (ROIs) from the T1 structural MRI and extracts 253 ROI features, including the surface area and thickness of cortical ROIs, and the volume of all ROIS. The difference in ROI features between two visits, together with other clinical factors (e.g., prescription, number of BMs, etc.), is considered as one sample. The study included 22 subjects with 91 visits, resulting in 171 samples with neurocognitive decline labels. The entire sample set is split into 10 folds on patient level for cross validation. In each fold, feature engineering is conducted to remove redundancy and to select the most-important features. The top 20% most frequently selected features are applied with Support Vector Machine to predict the neurocognitive decline label of each sample. RESULTS As a preliminary result, the proposed method achieves an accuracy of 76%, with an area under the curve (AUC) of 0.75, sensitivity of 0.65 and specificity of 0.83 for predicting neurocognitive decline in mBMs SRS patients using only routine T1 MRIs. The volume of lateral occipital complex, the thickness of inferior parietal lobe and postcentral gyrus, and the surface area of lateral orbitofrontal cortex and pars triangularis are identified as the 5 most important features for this task. CONCLUSION Our method shows promising findings for post-SRS neurocognitive decline prediction solely based on routine baseline and follow-up MRIs. In addition, it can identify critical brain ROIs associated with the post-SRS cognitive function. This method has the potential to assist treatment planning strategy to help preserve patients' QoL.
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Affiliation(s)
- Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M Chen
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M Kazemimoghadam
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Wardak
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - C Chukwuma
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - S Stojadinovic
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - T Dan
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - W Lu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Kazemimoghadam M, Yang Z, Chen M, Rahimi AS, Kim DN, Alluri PG, Nwachukwu CR, Lu W, Gu X. A Comprehensive Deep Learning Framework for Automatic Target Volumes Segmentation in Post-Operative Stereotactic Partial Breast Irradiation (S-PBI). Int J Radiat Oncol Biol Phys 2023; 117:e183. [PMID: 37784808 DOI: 10.1016/j.ijrobp.2023.06.1038] [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 S-PBI, accurate delineation of post-surgical tumor bed volume (TBV) and clinical target volume (CTV) are crucial tasks to achieve effective radiotherapy outcomes. However, manual contouring is labor intensive, time consuming, and largely relies on the experience of clinicians. We aimed to propose a deep learning (DL) approach which mimics physicians' contouring practice to accurately segment target volumes in post-operative breast CT images. MATERIALS/METHODS Our approach incorporated domain knowledge into a 3D U-Net based DL model for breast target volumes (TBV and CTV) delineation. Our TBV segmentation approach was inspired by the marker-guidance procedure in manual delineation, where the visual clues provided by the markers assist physicians in defining TBV. For this purpose, a distance-transformation coupled with a Gaussian filter was adopted to convert markers' locations on the CT images to saliency maps. Subsequently, the CT images and the corresponding saliency maps formed a two-channel input for the segmentation model. For CTV segmentation, TBV was incorporated as an input in addition to the CT images, guiding the model to encode the location-related image features. The architecture allowed the network to emulate the oncologist's manual delineation where CTV is derived from TBV via a margin expansion, followed by correcting the extensions for anatomical barriers of tumor invasion (e.g., skin, chest wall). We retrospectively collected 175 prone CT images from 35 post-operative breast cancer patients who received 5-fraction partial breast irradiation (PBI) regimen on a Co-60 prone based S-PBI unit. The 35 patients were randomly split into 25, 5, and 5 for model training, validation, and testing respectively. RESULTS We evaluated the performance of the developed DL model on the testing dataset by comparing the predicted volumes with the manually delineated contours (ground truth) using Dice similarity coefficient (DSC), 95th percentile Hausdorff distance (HD95), and average symmetric surface distance (ASD). For TBV segmentation, our model achieved mean (standard deviation) of 0.76 (±2.7), 6.76 (±1.83) mm, and 1.9 (±0.66) mm for DSC, HD95, and ASD respectively. For CTV segmentation, our model achieved 0.94 (±0.02), 2.46 (±0.5) mm, and 0.53 (±0.14) mm for DSC, HD95, and ASD respectively. The proposed auto-segmentation approach generated TBV and CTV masks in ∼11 seconds per CT volume, implying significantly improved efficiency compared to manual contouring. CONCLUSION We developed a comprehensive DL framework mimicking clinical contouring practice for auto-segmentation of target volumes in S-PBI. The results demonstrated high levels of agreement between the predicted contours and physicians' manual contours. The approach is promising for improving the efficiency and accuracy of the on-line treatment planning workflow, such as adaptive based S-PBI.
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Affiliation(s)
- M Kazemimoghadam
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M Chen
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D N Kim
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - C R Nwachukwu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - X Gu
- Stanford University Department of Radiation Oncology, Palo Alto, CA
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Wang JY, Chen Y, Pham D, Lewis J, Beadle BM, Gensheimer MF, Le QT, Gu X, Xing L. Prospective Clinical Adoption of Artificial Intelligence for Organ Contouring in Head and Neck Radiation Treatment Planning. Int J Radiat Oncol Biol Phys 2023; 117:e490-e491. [PMID: 37785549 DOI: 10.1016/j.ijrobp.2023.06.1721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients that undergo head and neck (H&N) radiation therapy (RT) require laborious delineation of organs-at-risk (OARs) on computed tomography (CT) scans in a treatment planning system (TPS) to minimize radiation to normal tissue. This task can be completed rapidly and accurately with recently developed artificial intelligence-based semantic segmentation models. The current study aims to deploy and evaluate a strategy for improving clinical practice with this technology. MATERIALS/METHODS Deep learning models were trained and tested with CT scans and OAR contours from previous H&N RT cases at our clinic. Two medical physicists vetted the models and selected a 2.5D U-Net for further implementation. The model was embedded in a dedicated server at the hospital, programmed to read H&N CT scans staged for import into the TPS, generate auto-contours, and write them into a TPS-compatible format made available alongside the scan. In the pilot implementation, the auto-contouring service was utilized for more than 60 cases, prospectively. The auto-contours were quantitatively evaluated against the treatment-approved contours to determine how much modification was performed by the clinical team. RESULTS The 2.5D U-Net selected for clinical integration segments 21 OARs in less than 3 minutes per scan. Across all the prospective cases, the mean Dice score and mean 95th percentile Hausdorff distance (mm) between the auto-contour and treatment-approved contour for each of the 21 OARs were as follows, respectively: brainstem (0.93, 1.94), optic chiasm (0.70, 2.96), left cochlea (0.69, 2.37), right cochlea (0.68, 2.44), esophagus (0.88, 2.46), left globe (0.93, 1.50), right globe (0.93, 1.63), glottis (0.91, 2.13), larynx (0.93, 2.76), mandible (0.90, 4.86), left optic nerve (0.78, 1.64), right optic nerve (0.82, 1.65), oral cavity (0.86, 8.46), left parotid gland (0.91, 2.78), right parotid gland (0.91, 2.39), pharynx (0.85, 2.39), spinal cord (0.87, 2.27), left submandibular gland (0.85, 3.46), right submandibular gland (0.83, 3.69), left temporal lobe (0.94, 2.20), and right temporal lobe (0.95, 2.09). The auto-contours for the optic chiasm, optic nerves, cochleas, and submandibular glands differed substantially from the final contours, a finding corroborated by the clinical team; the rest were clinically acceptable with minor or no edits necessary. CONCLUSION The proposed strategy provides a sophisticated starting point for treatment planning that has garnered overall favorable feedback from the participating radiation oncologists and dosimetrists. Consequently, the technique is being extended to other treatment sites.
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Affiliation(s)
- J Y Wang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Y Chen
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Lewis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B M Beadle
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Q T Le
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Xing
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Sun L, Dong X, Gao J, Zhu T, Sun J, Dong C, Wang R, Gu X, Zhao C. Precise Spatiotemporal Identification of Mitochondrial H 2S Fluctuations through Exploiting an On-Demand Photoactivated Probe. Anal Chem 2023; 95:14288-14296. [PMID: 37697825 DOI: 10.1021/acs.analchem.3c02509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Various signal molecules participate in complex biological processes in mitochondria. However, most currently available probes have problems in elucidating the functions of these active species in mitochondria due to the inability to light up these probes exclusively at the desired mitochondrial location, thereby compromising the specificity and accuracy. In this study, we present an on-demand photoactivation approach to the molecular design of optimized probes for precise spatiotemporal identification of mitochondrial H2S fluctuations. The designed probe with native yellow fluorescence can monitor the process into mitochondria but maintains nonfluorescent response to H2S during cellular delivery, providing the accurate timing of accumulation in mitochondria. On-demand photoactivation exclusively at the desired mitochondrial location affords a significant aggregation-enhanced and emissive response to H2S with lighting up red fluorescence at 690 nm, which is the only way to get such an emissive phenomenon and greatly improves the specificity and accuracy of targeting mitochondrial H2S. By using this photocontrolled fluorescence responsiveness to H2S, precise spatiotemporal identification of mitochondrial H2S fluctuations is successfully performed. Our work could facilitate advances toward interrogating the physiological and pathological consequences of mitochondrial H2S in various biological events.
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Affiliation(s)
- Lixin Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Xuemei Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Jinzhu Gao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Tianli Zhu
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Chengjun Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Rongchen Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, P. R. China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai 200237, P. R. China
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23
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Shen L, Xing BL, Gu X, Zhang YY, Zhang X. [Primary salivary gland-type duct carcinoma of lung: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:958-960. [PMID: 37670632 DOI: 10.3760/cma.j.cn112151-20230106-00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Affiliation(s)
- L Shen
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - B L Xing
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - X Gu
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - Y Y Zhang
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - X Zhang
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
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24
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Geng ZY, Chen NX, You W, Liu K, Gu X, Wei J, Ma L, Zhang XX. [Efficacy of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:773-780. [PMID: 37599238 DOI: 10.3760/cma.j.cn115330-20221108-00670] [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: 08/22/2023]
Abstract
Objective: To analyze the treatment effects and side effects of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma invading cervical esophagus. Methods: A retrospective analysis was performed on sixty-six patients with locally advanced hypopharyngeal carcinoma invade the esophagus. These patients were treated in the Department of Otolaryngology, Head and Neck Surgery of Chinese People's Liberation Army General Hospital between January 2011 and May 2022, including sixty-five males and one female, aged 43-71 years. Treatment regimen consisted of induction chemotherapy and concurrent chemoradiothrapy and epidermal growth factor receptor (EGFR)-targeted therapy, three of these cases were treated with programmed cell death 1 (PD-1) immunotherapy. The Kaplan-Meier method was used for survival analysis. Side effects were evaluated with the established CTCAE (Common Terminology Criteria for Adverse Events) 5.0 criteria. The factors affecting prognosis were analyzed by Cox multivariate regression analysis. Results: Sixty-four (97.0%, 64/66) patients completed the radiotherapy and chemotherapy plan. The most common grade three side effects were radioactive oropharyngeal mucositis (89.1%, 57/64) and leukopenia (23.4%, 15/64). Five (7.8%, 5/64) patients showed grade three hoarseness; two patients (3.1%, 2/64) suffered from grade three swallowing dysfunction and required feeding tube and intravenous nutrition; the remaining patients(89.1%) retained good vocal and swallowing functions. The overall survival (OS) of all patients was 81.5% after one year, 54.0% after three years, and 39.9% after five years; the progression-free survival (PFS) was 78.3% after one year, 54.9% after three years, and 42.6% after five years; local control rate (LCR) was 80.9% after one year, 62.5% after three years, and 52.0% after five years. T4a patients showed better OS, PFS and LCR than T4b patients, with statistically significant differences (χ2=8.10, 8.27, and 6.64, respectively, all P<0.05). Cox multivariate regression analysis showed that lymph node metastasis was an independent factor affecting prognosis (χ2=10.21, P<0.05). Conclusion: Non-surgical comprehensive treatment can provide with another option of radical treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion, offering the patients higher rate of larynx and esophageal preservation with tolerable side effects.
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Affiliation(s)
- Z Y Geng
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - N X Chen
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - W You
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - K Liu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - X Gu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - J Wei
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - L Ma
- Department of Radiology, the First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - X X Zhang
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
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25
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Fu Q, Zhang Y, Zhang B, Qin W, Gu X, Poon TC. Efficient rendering by parallelogram-approximation for full analytical polygon-based computer-generated holography using planar texture mapping. Opt Express 2023; 31:24537-24554. [PMID: 37475278 DOI: 10.1364/oe.493963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/14/2023] [Indexed: 07/22/2023]
Abstract
We have developed a full analytical method with texture mapping for polygon-based computer-generated holography. A parallel planar projection mapping for holographic rendering along with affine transformation and self-similar segmentation is derived. Based on this method, we further propose a parallelogram-approximation to reduce the number of polygons used in the polygon-based technique. We demonstrate that the overall method can reduce the computational effort by 50% as compared to an existing method without sacrificing the reconstruction quality based on high precision rendering of complex textures. Numerical and optical reconstructions have shown the effectiveness of the overall scheme.
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26
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Chen R, Wang R, Sun J, Dong X, Dong C, Sun L, Gu X, Zhao C. An activatable endoplasmic reticulum-targeted probe for NIR imaging-guided photothermal therapy. Org Biomol Chem 2023. [PMID: 37435862 DOI: 10.1039/d3ob00782k] [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: 07/13/2023]
Abstract
An H2O2-activated, endoplasmic reticulum-targeted theranostic probe was developed. This designed probe could be activated by H2O2, resulting in increased NIR fluorescence and photothermal signals, thus achieving specific recognition of H2O2 and further photothermal therapy in the endoplasmic reticulum of H2O2-overexpressing cancer cells.
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Affiliation(s)
- Rui Chen
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
| | - Rongchen Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
| | - Xuemei Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
| | - Chengjun Dong
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
| | - Lixin Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China.
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, P. R. China.
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Lei N, Li Z, Xu Z, Li Y, Gu X. What's the Situation With Intelligent Mesh Generation: A Survey and Perspectives. IEEE Trans Vis Comput Graph 2023; PP:1-20. [PMID: 37262120 DOI: 10.1109/tvcg.2023.3281781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Intelligent Mesh Generation (IMG) represents a novel and promising field of research, utilizing machine learning techniques to generate meshes. Despite its relative infancy, IMG has significantly broadened the adaptability and practicality of mesh generation techniques, delivering numerous breakthroughs and unveiling potential future pathways. However, a noticeable void exists in the contemporary literature concerning comprehensive surveys of IMG methods. This paper endeavors to fill this gap by providing a systematic and thorough survey of the current IMG landscape. With a focus on 113 preliminary IMG methods, we undertake a meticulous analysis from various angles, encompassing core algorithm techniques and their application scope, agent learning objectives, data types, targeted challenges, as well as advantages and limitations. We have curated and categorized the literature, proposing three unique taxonomies based on key techniques, output mesh unit elements, and relevant input data types. This paper also underscores several promising future research directions and challenges in IMG. To augment reader accessibility, a dedicated IMG project page is available at https://github.com/xzb030/IMG_Survey.
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Zhou JS, Xu RZ, Yu XQ, Cheng FJ, Zhao WX, Du X, Wang SZ, Zhang QQ, Gu X, He SM, Li YD, Ren MQ, Ma XC, Xue QK, Chen YL, Song CL, Yang LX. Evidence for Band Renormalizations in Strong-Coupling Superconducting Alkali-Fulleride Films. Phys Rev Lett 2023; 130:216004. [PMID: 37295091 DOI: 10.1103/physrevlett.130.216004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/06/2023] [Accepted: 04/17/2023] [Indexed: 06/12/2023]
Abstract
There has been a long-standing debate about the mechanism of the unusual superconductivity in alkali-intercalated fullerides. In this Letter, using high-resolution angle-resolved photoemission spectroscopy, we systematically investigate the electronic structures of superconducting K_{3}C_{60} thin films. We observe a dispersive energy band crossing the Fermi level with the occupied bandwidth of about 130 meV. The measured band structure shows prominent quasiparticle kinks and a replica band involving the Jahn-Teller active phonon modes, which reflects strong electron-phonon coupling in the system. The electron-phonon coupling constant is estimated to be about 1.2, which dominates the quasiparticle mass renormalization. Moreover, we observe an isotropic nodeless superconducting gap beyond the mean-field estimation (2Δ/k_{B}T_{c}≈5). Both the large electron-phonon coupling constant and large reduced superconducting gap suggest a strong-coupling superconductivity in K_{3}C_{60}, while the electronic correlation effect is suggested by the observation of a waterfall-like band dispersion and the small bandwidth compared with the effective Coulomb interaction. Our results not only directly visualize the crucial band structure but also provide important insights into the mechanism of the unusual superconductivity of fulleride compounds.
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Affiliation(s)
- J S Zhou
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - R Z Xu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X Q Yu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - F J Cheng
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - W X Zhao
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X Du
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - S Z Wang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - Q Q Zhang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X Gu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - S M He
- Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
| | - Y D Li
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - M Q Ren
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X C Ma
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
- Collaborative Innovation Center of Quantum Matter, Beijing 100084, China
| | - Q K Xue
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - Y L Chen
- Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
- School of Physical Science and Technology, ShanghaiTech University and CAS-Shanghai Science Research Center, Shanghai 201210, China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - C L Song
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
- Collaborative Innovation Center of Quantum Matter, Beijing 100084, China
| | - L X Yang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
- Collaborative Innovation Center of Quantum Matter, Beijing 100084, China
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Wang Q, Li Y, Gu X, Zhang N, Xie J, Niu B, Xing Y, He Y. Imaging diagnosis of intravenous leiomyomatosis: an institutional experience. Clin Radiol 2023:S0009-9260(23)00138-1. [PMID: 37365113 DOI: 10.1016/j.crad.2023.03.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 03/14/2023] [Accepted: 03/28/2023] [Indexed: 06/28/2023]
Abstract
AIM To review and summarise the clinical and imaging characteristics of intravenous leiomyomatosis (IVL), a rare smooth muscle tumour originating from the uterus. MATERIALS AND METHODS Twenty-seven patients with a histopathological diagnosis of IVL who underwent surgery were reviewed retrospectively. All patients underwent pelvic ultrasonography, inferior vena cava (IVC) ultrasonography, and echocardiography before surgery. Computed tomography (CT) with contrast enhancement was performed in patients with extrapelvic IVL. Some patients underwent pelvic magnetic resonance imaging (MRI). RESULTS Mean age was 44.81 years. Clinical symptoms were non-specific. IVL was intrapelvic in seven patients and extrapelvic in 20. Preoperative pelvic ultrasonography missed the diagnosis in 85.7% of patients with intrapelvic IVL. Pelvic MRI was useful to evaluate the parauterine vessels. Incidence of cardiac involvement was 59.26%. Echocardiography showed a highly mobile sessile mass in the right atrium with moderate-to-low echogenicity that originates from the IVC. Ninety per cent of extrapelvic lesions showed unilateral growth. The most common growth pattern was via the right uterine vein-internal iliac vein-IVC pathway. CONCLUSION The clinical symptoms of IVL are non-specific. For patients with intrapelvic IVL, early diagnosis is difficult. Pelvic ultrasound should focus on the parauterine vessels, the iliac and ovarian veins should be explored carefully. MRI has obvious advantages in evaluating parauterine vessel involvement, which is helpful for early diagnosis. For patients with extrapelvic IVL, CT should be performed before surgery as part of a comprehensive evaluation. IVC ultrasonography and echocardiography are recommended when IVL is highly suspected.
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Affiliation(s)
- Q Wang
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China
| | - Y Li
- Department of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, China
| | - X Gu
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China
| | - N Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, China
| | - J Xie
- Department of Cardiology, Jiahui International Hospital, China
| | - B Niu
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China
| | - Y Xing
- Department of Comprehensive Ultrasound, Beijing Anzhen Hospital, Capital Medical University, China
| | - Y He
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China.
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Hao Y, Si J, Wei J, Gu X, Wang W, Zhang Y, Guan Y, Huang H, Xu C, Song Z. 221P Comparison of efficacy and safety of carboplatin combined with nab-paclitaxel or paclitaxel as first-line therapy for advanced thymic epithelial tumors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00474-4] [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: 04/03/2023]
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Cai SY, Gu X, Liu PJ, Li RS, Jiang JJ, Zhao SP, Yao W, Jiang YN, Yin YH, Yu B, Yuan ZY, Wang JA. [Efficacy and safety of various doses of hybutimibe monotherapy or in combination with atorvastatin for primary hypercholesterolemia: a multicenter, randomized, double-blind, double-dummy, parallel-controlled phase Ⅲ clinical trial]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:180-187. [PMID: 36789598 DOI: 10.3760/cma.j.cn112148-20230105-00009] [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: 02/16/2023]
Abstract
Objective: To evaluate the efficacy and safety of hybutimibe monotherapy or in combination with atorvastatin in the treatment of primary hypercholesterolemia. Methods: This was a multicenter, randomized, double-blind, double-dummy, parallel-controlled phase Ⅲ clinical trial of patients with untreated primary hypercholesterolemia from 41 centers in China between August 2015 and April 2019. Patients were randomly assigned, at a ratio of 1∶1∶1∶1∶1∶1, to the atorvastatin 10 mg group (group A), hybutimibe 20 mg group (group B), hybutimibe 20 mg plus atorvastatin 10 mg group (group C), hybutimibe 10 mg group (group D), hybutimibe 10 mg plus atorvastatin 10 mg group (group E), and placebo group (group F). After a dietary run-in period for at least 4 weeks, all patients were administered orally once a day according to their groups. The treatment period was 12 weeks after the first dose of the study drug, and efficacy and safety were evaluated at weeks 2, 4, 8, and 12. After the treatment period, patients voluntarily entered the long-term safety evaluation period and continued the assigned treatment (those in group F were randomly assigned to group B or D), with 40 weeks' observation. The primary endpoint was the percent change in low density lipoprotein cholesterol (LDL-C) from baseline at week 12. Secondary endpoints included the percent changes in high density lipoprotein cholesterol (HDL-C), triglyceride (TG), apolipoprotein B (Apo B) at week 12 and changes of the four above-mentioned lipid indicators at weeks 18, 24, 38, and 52. Safety was evaluated during the whole treatment period. Results: Totally, 727 patients were included in the treatment period with a mean age of (55.0±9.3) years old, including 253 males. No statistical differences were observed among the groups in demographics, comorbidities, and baseline blood lipid levels. At week 12, the percent changes in LDL-C were significantly different among groups A to F (all P<0.01). Compared to atorvastatin alone, hybutimibe combined with atorvastatin could further improve LDL-C, TG, and Apo B (all P<0.05). Furthermore, there was no significant difference in percent changes in LDL-C at week 12 between group C and group E (P=0.991 7). During the long-term evaluation period, there were intergroup statistical differences in changes of LDL-C, TG and Apo B at 18, 24, 38, and 52 weeks from baseline among the statins group (group A), hybutimibe group (groups B, D, and F), and combination group (groups C and E) (all P<0.01), with the best effect observed in the combination group. The incidence of adverse events was 64.2% in the statins group, 61.7% in the hybutimibe group, and 71.0% in the combination group during the long-term evaluation period. No treatment-related serious adverse events or adverse events leading to death occurred during the 52-week study period. Conclusions: Hybutimibe combined with atorvastatin showed confirmatory efficacy in patients with untreated primary hypercholesterolemia, which could further enhance the efficacy on the basis of atorvastatin monotherapy, with a good overall safety profile.
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Affiliation(s)
- S Y Cai
- Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310009, China
| | - X Gu
- Department of Cardiology, Subei People's Hospital of Jiangsu Province, Yangzhou 225001, China
| | - P J Liu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - R S Li
- Department of Cardiology, Liuzhou People's Hospital, Liuzhou 545026, China
| | - J J Jiang
- Department of Cardiology, Taizhou Hospital of Zhejiang Province, Taizhou 317000, China
| | - S P Zhao
- Department of Cardiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - W Yao
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Y N Jiang
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Y H Yin
- Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - B Yu
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Z Y Yuan
- Department of Cardiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - J A Wang
- Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310009, China
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Xu RZ, Gu X, Zhao WX, Zhou JS, Zhang QQ, Du X, Li YD, Mao YH, Zhao D, Huang K, Zhang CF, Wang F, Liu ZK, Chen YL, Yang LX. Development of a laser-based angle-resolved-photoemission spectrometer with sub-micrometer spatial resolution and high-efficiency spin detection. Rev Sci Instrum 2023; 94:023903. [PMID: 36859063 DOI: 10.1063/5.0106351] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
Angle-resolved photoemission spectroscopy with sub-micrometer spatial resolution (μ-ARPES), has become a powerful tool for studying quantum materials. To achieve sub-micrometer or even nanometer-scale spatial resolution, it is important to focus the incident light beam (usually from synchrotron radiation) using x-ray optics, such as the zone plate or ellipsoidal capillary mirrors. Recently, we developed a laser-based μ-ARPES with spin-resolution (LMS-ARPES). The 177 nm laser beam is achieved by frequency-doubling a 355 nm beam using a KBBF crystal and subsequently focused using an optical lens with a focal length of about 16 mm. By characterizing the focused spot size using different methods and performing spatial-scanning photoemission measurement, we confirm the sub-micron spatial resolution of the system. Compared with the μ-ARPES facilities based on the synchrotron radiation, our LMS-ARPES system is not only more economical and convenient, but also with higher photon flux (>5 × 1013 photons/s), thus enabling the high-resolution and high-statistics measurements. Moreover, the system is equipped with a two-dimensional spin detector based on exchange scattering at a surface-passivated iron film grown on a W(100) substrate. We investigate the spin structure of the prototype topological insulator Bi2Se3 and reveal a high spin-polarization rate, confirming its spin-momentum locking property. This lab-based LMS-ARPES will be a powerful research tool for studying the local fine electronic structures of different condensed matter systems, including topological quantum materials, mesoscopic materials and structures, and phase-separated materials.
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Affiliation(s)
- R Z Xu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - X Gu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - W X Zhao
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - J S Zhou
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Q Q Zhang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - X Du
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Y D Li
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Y H Mao
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, Hunan 410073, China
| | - D Zhao
- Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - K Huang
- Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C F Zhang
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, Hunan 410073, China
| | - F Wang
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - Z K Liu
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - Y L Chen
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - L X Yang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
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Yang LJ, Zhou JZ, Zheng YF, Hu X, He ZY, Du LJ, Gu X, Huang XY, Li J, Li YQ, Pan LY, Zhang XX, Gu XJ. Association of non-alcoholic fatty liver disease with total testosterone in non-overweight/obese men with type 2 diabetes mellitus. J Endocrinol Invest 2023:10.1007/s40618-023-02006-6. [PMID: 36725809 DOI: 10.1007/s40618-023-02006-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 01/04/2023] [Indexed: 02/03/2023]
Abstract
PURPOSE Non-alcoholic fatty liver disease (NAFLD) is considered as both a vital risk factor and a consequence of type 2 diabetes mellitus (T2DM). Low total testosterone (TT) is common in men with T2DM, contributing to increased risks of metabolic diseases. This study aimed to investigate the association between TT levels and the prevalence of NAFLD in men with T2DM. METHODS In this cross-sectional study, 1005 men with T2DM were enrolled in National Metabolic Management Center (MMC) of First Affiliated Hospital of Wenzhou Medical University between January 2017 and August 2021. NAFLD was diagnosed using ultrasound as described by the Chinese Liver Disease Association. Overweight/obesity was defined as body mass index (BMI) ≥ 25 kg/m2 according to WHO BMI classifications. RESULTS Individuals without NAFLD had higher serum TT levels than those with NAFLD. After adjustments for potential confounding factors, the top tertile was significantly associated with lower prevalence of NAFLD compared with the bottom tertile of TT level [odds ratio (OR) 0.303, 95% confidence interval (CI) 0.281-0.713; P < 0.001]. The association between TT with NAFLD in individuals with normal weight (OR 0.175, 95% CI 0.098-0.315; P < 0.001) was stronger than in individuals with overweight/obesity (OR 0.509, 95% CI 0.267-0.971; P = 0.040). There was a significant interaction of TT with overweight/obesity (P for interaction = 0.018 for NAFLD). CONCLUSION Higher serum TT was significantly associated with a lower prevalence of NAFLD in men with T2DM. We found that the relationship of TT and NAFLD was stronger in individuals with non-overweight/obesity.
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Affiliation(s)
- L J Yang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - J Z Zhou
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - Y F Zheng
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X Hu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - Z Y He
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - L J Du
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X Gu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X Y Huang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - J Li
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - Y Q Li
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - L Y Pan
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X X Zhang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X J Gu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China.
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Wu MN, Liu WF, Li FD, Huang YW, Gu X, Zhai YJ, Zhang T, Xu L, Lin JF. Association between Iodized Salt Intake and Cognitive Function in Older Adults in China. J Nutr Health Aging 2023; 27:1005-1011. [PMID: 37997722 DOI: 10.1007/s12603-023-1997-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 09/12/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES To investigate the association between iodized salt intake and cognitive function in older adults. DESIGN A cross-sectional study. SETTINGS Individuals from the Zhejiang Major Public Health Surveillance Program (ZPHS). PARTICIPANTS Data of 10,217 participants (including 4,680 coastal residents and 5,537 inland residents) aged ≥ 60 years were analyzed. MEASUREMENTS Salt intake was evaluated using a questionnaire, and participants were stratified into the following three groups: iodized salt, non-iodized salt, and mixed salt. Cognitive function was assessed through the Mini-Mental State Examination and defined using education-specific cut-off points. Logistic regression models controlling for an extensive range of potential confounders were generated to examine the association between salt intake and cognitive function among all participants. RESULTS Data from 10,217 participants with a 16.1% prevalence of cognitive impairment were analyzed. Compared with non-iodized salt intake, consumption of iodized salt was inversely associated with cognitive impairment (odds ratio [OR], 0.410; 95% confidence interval [CI], 0.351-0.480; P < 0.001) in all participants after multivariable adjustment. An association between iodized salt intake and cognitive impairment was observed in coastal (OR, 0.441; 95% CI, 0.340-0.572; P < 0.001) and inland residents (OR, 0.569; 95% CI, 0.439-0.738; P < 0.001). Despite the insufficient sample size, the results for individuals consuming mixed salt suggested an inverse association between mixed salt intake and cognitive impairment among coastal residents (OR, 0.598; 95% CI, 0.405-0.885; P = 0.010) after multivariable adjustment. CONCLUSION Our results indicate that iodized salt intake may reduce the risk of cognitive impairment in older adults living in coastal or inland areas, and the protective effect of iodized salt intake is greater in coastal areas than in inland areas.
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Affiliation(s)
- M N Wu
- Junfen Lin, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou 310051, Zhejiang, China, E-mail address: , Tel: +86 057187115131, Fax: +86 057187115278
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Ravella R, Zhang-Velten E, Parsons D, Desai N, Dan T, Timmerman R, Jiang S, Gu X, Kumar K. Volumetric Modulated Arc Therapy Enabled Total Body Irradiation (VMAT-TBI) vs. Conventional TBI (cTBI): A Comparison of Treatment Outcomes and Toxicities. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.592] [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: 11/28/2022]
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Montalvo S, Bennett A, All S, Lue B, Kakadiaris E, Westover K, Iyengar P, Lu W, Gu X, Munshi N, Zaha V, Dianels J, Link M, Alluri P. Association between Thoracic Radiation and Heart Rhythm Disorders: Toward a Model for Describing Long-Term Cardiac Risk from Radiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Li Z, An D, Feng Y, Gu X, Xu X, Zhang M. IMAGE COMPRESSION BASED ON IMPORTANCE USING OPTIMAL MASS TRANSPORTATION MAP. Proc Int Conf Image Proc 2022; 2022:1191-1195. [PMID: 37974614 PMCID: PMC10652383 DOI: 10.1109/icip46576.2022.9897380] [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] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Demand for efficient image transmission and storage is increasing rapidly because of the continuing growth of multimedia technology and VR and AR applications. In this paper, we proposed an image compression method based on the recognition of importance of regions in images. As not all the information in an image is equally useful, we can identify important regions in an image for high fidelity compression and accept a comparatively more lossy compression about less important regions of the image. First, we segment images to two parts, namely, foreground and background, where the foreground represents the more important component and the background is of less importance. Second, we apply optimal mass transportation mapping in a GAN (generative adversarial network) framework to both the foreground and background to magnify the foreground and shrink the background while keeping the shape and total image area unchanged. As a result, in the processed image, the ratio of foreground to background is larger than the corrresponding ratio in the original image. This ratio is controllable in our process, giving users the ability to control the degree of compression. The GAN-processed image is then used for compression. To restore the image, we apply a GAN model to the compressed image and recover the ratio of foreground and background using an optimal mass transportation map. Test results show that our method is highly effective in reconstructing detail of important components in compressed images while achieving a high compression ratio.
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Affiliation(s)
- Zihang Li
- Collaborative Innovation Center of Artificial Intelligence, College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Dongsheng An
- Department of Computer Science, Stony Brook University, Stony Brook, NY, USA
| | - Yingjie Feng
- Collaborative Innovation Center of Artificial Intelligence, College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xianfeng Gu
- Department of Computer Science, Stony Brook University, Stony Brook, NY, USA
| | - Xiaoyin Xu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Min Zhang
- Collaborative Innovation Center of Artificial Intelligence, College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China
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Luo Y, Rao Y, Gu X, Chai P, Yang Y, Lin J, Xu X, Jia R, Xu S. Novel MSH6 mutation predicted metastasis in eyelid and periocular squamous cell carcinoma. J Eur Acad Dermatol Venereol 2022; 36:2331-2342. [PMID: 35855666 DOI: 10.1111/jdv.18454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 06/03/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Our previous research revealed the relative local aggressiveness of eyelid and periocular squamous cell carcinoma (EPSCC), but its distinct genetic characteristics involved remain unknown. OBJECTIVES We conducted this study based on next-generation sequencing to identify the genetic distinctiveness of EPSCC and damaging mutations for possible etiology and poor prognosis. METHODS We performed sequencing using a 556-gene panel (smartonco) in 48 EPSCCs. Cox hazards model was applied to explore mutated genes that increase risk of metastasis and death. Pathogenesis of the mutations was predicted by sequence alignment algorithms. RESULTS The most commonly mutated genes were KMT2C (N=17, 35%), LRP1B (N=14, 29%), KMT2D (N=12, 25%), PTCH1(N=10, 21%) and TP53(N=10, 21%). DNA mismatch repair (MMR) genes (42%) like MSH6(19%) and MLH3(12%) were among the most frequently mutated genes. Cell cycle regulators including TP53(21%) and CDKN2A (10%) were less frequently mutated than in other squamous cell carcinomas (SCCs). Ultra violet exposure, MMR deficiency and aging were the main etiology. Of note, KMT2C has a deleterious mutation hotspot. Patients burdened with MSH6 mutation has a higher risk of overall metastasis (P=0.045, HR=5.165) and nodal metastasis (P=0.022, HR=14.038). Moreover, a hotspot mutation MSH6E52A brought an even higher risk of nodal metastasis (P=0.011, HR=18.745). CONCLUSIONS EPSCCs displayed a unique mutation profile from cutaneous SCCs and mucosal SCCs. We have identified novel damaging mutations in epigenetic regulators like KMT2C boosted early onset of EPSCCs in addition to UVR, aging or MMR deficiency. And malfunction of MMR genes worsened prognosis.
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Affiliation(s)
- Y Luo
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Y Rao
- Department of pathology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - X Gu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - P Chai
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Y Yang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - J Lin
- Department of pathology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - X Xu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - R Jia
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - S Xu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
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Guo S, Zhu T, Wang R, Gao J, Sun J, Ou-Yang Z, Liu Y, Gu X, Zhao C. A water-soluble fluorescent probe for real-time visualization of γ-glutamyl transpeptidase activity in living cells. Bioorg Med Chem Lett 2022; 68:128762. [PMID: 35490954 DOI: 10.1016/j.bmcl.2022.128762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/25/2022] [Accepted: 04/25/2022] [Indexed: 11/02/2022]
Abstract
γ-glutamyl transpeptidase (GGT) is a kind of cell-surface enzyme that is overexpressed in many cancer cells. It is of great significance to develop an ideal tool for the diagnosis of GGT-rich cancer cells. Here, we reported a simple-structured but effective imaging probe for the detection of GGT activity. In the presence of GGT, the γ-glutamyl linkage could be cleaved specifically to produce amino-substituted product, resulting in significant fluorescence enhancement at 578 nm. Moreover, we successfully employed the probe to monitor GGT activity in HepG2 cells. We envisaged that such a simple but effective imaging tool could improve the practical applications for bioimaging.
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Affiliation(s)
- Shiyuan Guo
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Tianli Zhu
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Rongchen Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, PR China.
| | - Jinzhu Gao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Jie Sun
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Zhirong Ou-Yang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, PR China
| | - Yingchao Liu
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China.
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, PR China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, 200237, PR China.
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Wang R, Yin K, Ma M, Zhu T, Gao J, Sun J, Dong X, Dong C, Gu X, Tian H, Zhao C. Alkaline Phosphatase-Initiated Sensitive Responsiveness of Activatable Probes to Hydrogen Sulfide for Accurate Cancer Imaging and Differentiation. CCS Chem 2022. [DOI: 10.31635/ccschem.022.202201971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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An D, Lei N, Xu X, Gu X. Efficient Discrete Optimal Transport Algorithm by Accelerated Gradient Descent. Proc AAAI Conf Artif Intell 2022; 36:10119-10128. [PMID: 37974660 PMCID: PMC10652357 DOI: 10.1609/aaai.v36i9.21251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Optimal transport (OT) plays an essential role in various areas like machine learning and deep learning. However, computing discrete OT for large scale problems with adequate accuracy and efficiency is highly challenging. Recently, methods based on the Sinkhorn algorithm add an entropy regularizer to the prime problem and obtain a trade off between efficiency and accuracy. In this paper, we propose a novel algorithm based on Nesterov's smoothing technique to further improve the efficiency and accuracy in computing OT. Basically, the non-smooth c-transform of the Kantorovich potential is approximated by the smooth Log-Sum-Exp function, which smooths the original non-smooth Kantorovich dual functional. The smooth Kantorovich functional can be efficiently optimized by a fast proximal gradient method, the fast iterative shrinkage thresholding algorithm (FISTA). Theoretically, the computational complexity of the proposed method is given by O ( n 5 2 log n ∕ ϵ ) , which is lower than current estimation of the Sinkhorn algorithm. Experimentally, compared with the Sinkhorn algorithm, our results demonstrate that the proposed method achieves faster convergence and better accuracy with the same parameter.
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Affiliation(s)
| | - Na Lei
- Dalian University of Technology, Liaoning, China
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Zhang M, Young GS, Tie Y, Gu X, Xu X. A New Framework of Designing Iterative Techniques for Image Deblurring. Pattern Recognit 2022; 124:108463. [PMID: 34949896 PMCID: PMC8691531 DOI: 10.1016/j.patcog.2021.108463] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In this work we present a framework of designing iterative techniques for image deblurring in inverse problem. The new framework is based on two observations about existing methods. We used Landweber method as the basis to develop and present the new framework but note that the framework is applicable to other iterative techniques. First, we observed that the iterative steps of Landweber method consist of a constant term, which is a low-pass filtered version of the already blurry observation. We proposed a modification to use the observed image directly. Second, we observed that Landweber method uses an estimate of the true image as the starting point. This estimate, however, does not get updated over iterations. We proposed a modification that updates this estimate as the iterative process progresses. We integrated the two modifications into one framework of iteratively deblurring images. Finally, we tested the new method and compared its performance with several existing techniques, including Landweber method, Van Cittert method, GMRES (generalized minimal residual method), and LSQR (least square), to demonstrate its superior performance in image deblurring.
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Affiliation(s)
- Min Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Geoffrey S Young
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yanmei Tie
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Xianfeng Gu
- Department of Computer Science, Stony Brook University, Stony Brook, NY
| | - Xiaoyin Xu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Jia T, He K, Chen D, Qian J, Gu X, Shen B, Sun Y, Shi T, Wang Y, Zhang B, Gong X. The measurements by diamagnetic loops in EAST. Fusion Engineering and Design 2022. [DOI: 10.1016/j.fusengdes.2022.113091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Chen Y, Xiong J, Chen W, Xie D, Zhang Y, Mo Y, Gu X, Zhang L. Morphological classification and measurement of the glenoid cavity using three-dimensional reconstruction in a Chinese population. Folia Morphol (Warsz) 2022; 82:325-331. [PMID: 35187632 DOI: 10.5603/fm.a2022.0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/03/2022] [Accepted: 02/03/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The purpose of this study was to examine the various shapes and record the morphometric data of the glenoid cavity in a Chinese population. MATERIALS AND METHODS A total of 501 scapulae, 247 left and 254 right, were analyzed. We classified the shape of the glenoid cavity as type Ⅰ (pear-shaped), type Ⅱ (oval-shaped), type Ⅲ (teardrop-shaped), type Ⅳ (calabash-shaped) or type Ⅴ (inverted comma-shaped). Four defined parameters, the superior-inferior glenoid diameter (AB), upper anterior-posterior glenoid diameter (CD), lower anterior-posterior glenoid diameter (EF) and glenoid index (GI), were measured, and five shapes were classified via three-dimensional reconstruction. RESULTS The mean AB, CD, EF and GI values of the glenoid were 3.51±0.41 cm, 1.95±0.28 cm, 2.60±0.34 cm, and 1.35±0.12 cm, respectively. The AB value of type Ⅱ glenoid cavities was significantly smaller than that of type Ⅰ and Ⅲ glenoid cavities (P<0.05), but the GI value of type Ⅱ glenoid cavities was larger than that of type Ⅲ cavities (P<0.05). The CD value showed a difference between type Ⅰ and type Ⅲ glenoid cavities (P<0.05). For the EF parameter, the values of type Ⅲ glenoid cavities were significantly larger than those of type Ⅰ and Ⅱ glenoid cavities (P<0.05). CONCLUSIONS Measuring and observing the variety of shapes and sizes of the glenoid cavity in Chinese people is conducive to for better understand its morphological features. This information can also guide surgeons in the design and selection of suitable prostheses for total shoulder arthroplasty in the Chinese population in order to reduce postoperative complications.
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Affiliation(s)
- Y Chen
- Department of Orthopedics, Chinese and Western Medicine Hospital of Yibing, Yibing, China
| | - J Xiong
- School of Clinical Medicine, Southwest Medical University, Luzhou, China
| | - W Chen
- Department of Orthopedics, Chinese and Western Medicine Hospital of Yibing, Yibing, China
| | - D Xie
- Department of Orthopedics, Chinese and Western Medicine Hospital of Yibing, Yibing, China
| | - Y Zhang
- Department of Orthopedics, Chinese and Western Medicine Hospital of Yibing, Yibing, China
| | - Y Mo
- Department of Orthopedics, Chinese and Western Medicine Hospital of Yibing, Yibing, China
| | - X Gu
- Department of Orthopedics, Chinese and Western Medicine Hospital of Yibing, Yibing, China
| | - L Zhang
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China. .,Center for Orthopedic Diseases Research, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China. .,Expert Workstation in Luzhou, Luzhou, China. .,Clinical Base of Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Guangdong Province Medical 3D Printing Application Transformation Engineering Technology Research Center, Luzhou, China.
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Zhang Y, Fan H, Wang F, Gu X, Qian X, Poon TC. Polygon-based computer-generated holography: a review of fundamentals and recent progress [Invited]. Appl Opt 2022; 61:B363-B374. [PMID: 35201160 DOI: 10.1364/ao.444973] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
In this review paper, we first provide comprehensive tutorials on two classical methods of polygon-based computer-generated holography: the traditional method (also called the fast-Fourier-transform-based method) and the analytical method. Indeed, other modern polygon-based methods build on the idea of the two methods. We will then present some selective methods with recent developments and progress and compare their computational reconstructions in terms of calculation speed and image quality, among other things. Finally, we discuss and propose a fast analytical method called the fast 3D affine transformation method, and based on the method, we present a numerical reconstruction of a computer-generated hologram (CGH) of a 3D surface consisting of 49,272 processed polygons of the face of a real person without the use of graphic processing units; to the best of our knowledge, this represents a state-of-the-art numerical result in polygon-based computed-generated holography. Finally, we also show optical reconstructions of such a CGH and another CGH of the Stanford bunny of 59,996 polygons with 31,724 processed polygons after back-face culling. We hope that this paper will bring out some of the essence of polygon-based computer-generated holography and provide some insights for future research.
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Gu X, Liu K, Gou HC, Chen NX, Zhang XX. [Retrospective analysis on 77 cases of T4b hypopharyngeal carcinoma treated by non-surgical treatments]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:22-28. [PMID: 35090205 DOI: 10.3760/cma.j.cn115330-20210630-00407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To analyze the effectiveness, safety and factors influencing the clinical prognosis of patients with hypopharyngeal carcinoma in T4b by nonsurgical treatments. Methods: The clinical data of 77 patients with T4b hypopharyngeal cancer treated in the College of Otolaryngology Head and Neck Surgery of the Chinese People's Liberation Army General Hospital from January 2010 to June 2021 were analyzed retrospectively. All were males, aged(57.0±8.0)years old. Patients were treated with induction chemotherapy plus concurrent chemoradiotherapy. Kaplan Meier survival analysis was used to compare the effects of different factors on prognosis. Adverse reactions during treatments and the causes of death were analyzed. Results: 98.7% of 77 patients with T4b hypopharyngeal cancer completed the chemotherapy plan and 94.8% completed the radiotherapy plan. The most common adverse reactions were grade 2 radiation oral mucositis (50/77, 64.9%) and grade 2 leukopenia (50/77, 64.9%). The incidence of grade 3 severe hoarseness was 7.8% (6/77), one patient (1.3%) underwent gastrostomy due to dysphagia, and pronunciation and swallowing function were effectively preserved in other patients. The overall survival rate was 71.9% at 1 year, 45.6% at 3 years and 29.7% at 5 years. The location of tumor, the presence of liquefaction necrosis in tumor, the use of molecular targeted drugs and the approach of radiotherapy were independent factors,each of which that affected the prognosis of T4b patients with advanced hypopharyngeal cancer [HR (95%CI) were 1.867(1.085-3.213), 3.018 (1.437-6.335), 0.372 (0.181-0.764) and 2.158 (1.015-4.588), respectively, P<0.05]. The two leading causes of death with high incidence were disease recurrence (12/32, 37.5%) and cervical large vessel rupture and hemorrhage (11/32, 34.4%). Conclusions: Non-surgical comprehensive treatment offers a high laryngeal preservation rate in patients with T4b hypopharyngeal cancer. The location of tumor, the liquefaction necrosis within tumor, the use of molecular targeted drugs, and the approach of radiotherapy are independent prognostic factors.
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Affiliation(s)
- X Gu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - K Liu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - H C Gou
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - N X Chen
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - X X Zhang
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
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Li FD, Tong ZD, Chang Y, Li KF, Gu X, Zhang T, Lin JF. Eggs Consumption in Relation to Lower Risk of Cognitive Impairment in Elderly: Findings from a 6-Year Cohort Study. J Nutr Health Aging 2022; 26:771-777. [PMID: 35934821 DOI: 10.1007/s12603-022-1810-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To evaluate the longitudinal association of eggs consumption with cognitive function in Chinese elderly. DESIGN Prospective cohort study. PARTICIPANTS 9028 participants aged ≥60 years from Zhejiang Ageing and Health Cohort Study without cognitive impairment at baseline survey. MEASUREMENTS Cognitive function was assessed through the Mini-Mental State Examination (MMSE) at baseline and three waves of follow-up (2015, 2016, and 2019-2020). Data on eggs consumption was collected in the diet habits section within the questionnaire at baseline. Log-binomial regression models with the Generalized Estimating Equations, controlled for an extensive range of potential confounders, were used to evaluate the association and estimate relative risks (RRs). RESULTS After 6 years of follow-up, 3266 (36.18%) participants were indicated as cognitive impairment by MMSE at least once. Compared with non-consumers or less-than-weekly consumers, participants consuming 0.1-2.9 eggs/week and 3.0-5.9 eggs/week had 18% (RR=0.82, 95%CI 0.76-0.89) and 9% (RR=0.91, 95%CI 0.84-0.99) lower risks of cognitive impairment respectively, whereas no association was found in those consuming ≥6.0 eggs/week (P=0.32). Moreover, infrequent lower-quantity consumption (1-2 days/week and 0.1-1.9 eggs/day), infrequent higher-quantity consumption (1-2 days/week and ≥2.0 eggs/day), and frequent lower-quantity consumption (≥3 days/week and 0.1-1.9 eggs/day) were associated with better cognitive performance, whereas null association was found among frequent higher-quantity consumers (≥3 days/week and ≥2.0 eggs/day). The sensitivity analyses yielded consistent results to the main analysis. CONCLUSION Limited eggs consumption is prospectively related to a lower risk of cognitive impairment in Chinese elderly.
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Affiliation(s)
- F D Li
- Professor Junfen Lin, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou 310051, Zhejiang, China. . Tel: +86-571-87115131. Fax: +86-571-87115298
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Sun J, Cheng N, Yin K, Wang R, Zhu T, Gao J, Dong X, Dong C, Gu X, Zhao C. Activatable photothermal agents with target-initiated large spectral separation for highly effective reduction of side effects. Chem Sci 2022; 13:9525-9530. [PMID: 36128038 PMCID: PMC9400798 DOI: 10.1039/d2sc02467e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/05/2022] [Indexed: 11/23/2022] Open
Abstract
Photothermal agents (PTAs) with minimized side effects are critical for transforming cancer photothermal therapy (PTT) into clinical applications. However, most currently available PTAs lack true selective activation to reduce side effects because of heavy spectral overlap between photothermal agents and their corresponding products. This study reports the construction of activatable PTAs with target-initiated large spectral separation for highly effective reduction of side effects. Such designed probes involve two H2O2-activatable PTAs, aza-BOD-B1 (single activatable site) and aza-BOD-B2 (multiple activatable site). After interacting with H2O2, aza-BOD-B1 only displays a mild absorption redshift (60 nm) from 750 nm to 810 nm with serious spectral overlap, resulting in a mild photothermal effect on normal tissues upon 808 nm light irradiation. In contrast, aza-BOD-B2 displays a large absorption spectral separation (150 nm) from 660 nm to 810 nm, achieving true selective activation to minimize side effects during PTT of cancer. Besides, in vitro and in vivo investigations demonstrated that aza-BOD-B2 can specifically induce photothermal ablation of cancer cells and tumors while leaving normal sites undamaged, whereas aza-BOD-B1 exhibits undesirable side effects on normal cells. Our study provides a practical solution to the problem of undesired side effects of phototherapy, an advance in precision medicine. Activatable photothermal reagents were designed for cancer therapy. Dual-site-activatable probe showed a large spectral redshift of 150 nm in the presence of H2O2, achieving truly selective activation to minimize side effects during PTT of cancers.![]()
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Affiliation(s)
- Jie Sun
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Ning Cheng
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Kai Yin
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Rongchen Wang
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Tianli Zhu
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Jinzhu Gao
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Xuemei Dong
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Chengjun Dong
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Chunchang Zhao
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
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Tan J, Yin K, Ouyang Z, Wang R, Pan H, Wang Z, Zhao C, Guo W, Gu X. Real-Time Monitoring Renal Impairment Due to Drug-Induced AKI and Diabetes-Caused CKD Using an NAG-Activatable NIR-II Nanoprobe. Anal Chem 2021; 93:16158-16165. [PMID: 34813273 DOI: 10.1021/acs.analchem.1c03926] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Real-time in vivo optical imaging of kidney function is important for the diagnosis of renal diseases, such as acute kidney injury (AKI) and chronic kidney disease (CKD), with high morbidity and mortality worldwide. However, the reported optical imaging agents still have limitations for identifying AKI or CKD in the early stage due to their low sensitivity, poor tissue penetration, and significant background interference. Herein, an N-acetyl-β-d-glucosaminidase (NAG)-activatable second near-infrared (NIR-II) fluorescent nanoprobe (BOD-II-NAG-NP) is developed for monitoring the progression of drug-induced AKI and in vivo imaging of diabetes-caused CKD. NAG, as a biomarker of renal diseases, is able to specifically activate BOD-II-NAG-NP to release NIR-II fluorescence signals, enabling in vivo imaging of kidney dysfunctions in living mice. Importantly, such an active imaging mechanism allows BOD-II-NAG-NP to noninvasively detect the onset of drug-induced AKI at least 32 h earlier than the most existing assays, which indicates that BOD-II-NAG-NP has the potential to be an optical imaging agent for the early diagnosis of AKI. Moreover, NIR-II fluorescence produced by BOD-II-NAG-NP could deeply penetrate into the relatively thick layers of fat in diabetic nephropathy mice and provide in vivo imaging with high resolution, indicating that BOD-II-NAG-NP has clinical potential for precision diagnosis of CKD.
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Affiliation(s)
- Jiahui Tan
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Kai Yin
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Zhirong Ouyang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Rongchen Wang
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Hongming Pan
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Zhijun Wang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Chuchang Zhao
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, P. R. China
| | - Wei Guo
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
| | - Xianfeng Gu
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, 201203, P. R. China
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50
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Kazemimoghadam M, Chi W, Rahimi A, Kim N, Alluri P, Nwachukwu C, Lu W, Gu X. Saliency-Guided Deep Learning Network for Automatic Target Delineation in Post-Operative Stereotactic Partial Breast Irradiation. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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