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Xu G, Gan S, Guo B, Yang L. Application of clustering strategy for automatic segmentation of tissue regions in mass spectrometry imaging. Rapid Commun Mass Spectrom 2024; 38:e9717. [PMID: 38389435 DOI: 10.1002/rcm.9717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 02/24/2024]
Abstract
RATIONALE Mass spectrometry imaging (MSI) has been widely used in biomedical research fields. Each pixel in MSI consists of a mass spectrum that reflects the molecule feature of the tissue spot. Because MSI contains high-dimensional datasets, it is highly desired to develop computational methods for data mining and constructing tissue segmentation maps. METHODS To visualize different tissue regions based on mass spectrum features and improve the efficiency in processing enormous data, we proposed a computational strategy that consists of four procedures including preprocessing, data reduction, clustering, and quantitative validation. RESULTS In this study, we examined the combination of t-distributed stochastic neighbor embedding (t-SNE) and hierarchical clustering (HC) for MSI data analysis. Using publicly available MSI datasets, one dataset of mouse urinary bladder, and one dataset of human colorectal cancer, we demonstrated that the generated tissue segmentation maps from this combination were superior to other data reduction and clustering algorithms. Using the staining image as a reference, we assessed the performance of clustering algorithms with external and internal clustering validation measures, including purity, adjusted Rand index (ARI), Davies-Bouldin index (DBI), and spatial aggregation index (SAI). The result indicated that SAI delivered excellent performance for automatic segmentation of tissue regions in MSI. CONCLUSIONS We used a clustering algorithm to construct tissue automatic segmentation in MSI datasets. The performance was evaluated by comparing it with the stained image and calculating clustering validation indexes. The results indicated that SAI is important for automatic tissue segmentation in MSI, different from traditional clustering validation measures. Compared to the reports that used internal clustering validation measures such as DBI, our method offers more effective evaluation of clustering results for MSI segmentation. We envision that the proposed automatic image segmentation strategy can facilitate deep learning in molecular feature extraction and biomarker discovery for the biomedical applications of MSI.
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Affiliation(s)
- Guang Xu
- College of Computer, Hubei University of Education, Wuhan, China
| | - Shengfeng Gan
- College of Computer, Hubei University of Education, Wuhan, China
| | - Bo Guo
- College of Computer, Hubei University of Education, Wuhan, China
| | - Li Yang
- College of Computer, Hubei University of Education, Wuhan, China
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Guo B, Yan S, Zhai L, Cheng Y. LncRNA HOTAIR accelerates free fatty acid-induced inflammatory response in HepG2 cells by recruiting SRSF1 to stabilize MLXIPL mRNA. Cytotechnology 2024; 76:259-269. [PMID: 38495293 PMCID: PMC10940554 DOI: 10.1007/s10616-023-00614-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/28/2023] [Indexed: 03/19/2024] Open
Abstract
LncRNA HOTAIR has been reported to be associated with metabolic diseases of the liver. However, the effect of HOTAIR on non-alcoholic fatty liver disease (NAFLD) inflammation and its potential mechanism have not been reported. Genes and proteins expression were detected by qRT-PCR and Western blot respectively. The level of inflammatory cytokines was assessed by ELISA. HepG2 cell viability was detected by MTT assay. TG level and lipid accumulation were measured by Assay Kit and Oil red O staining, respectively. Direct binding relationship between HOTAIR and Serine/arginine splicing factor 1 (SRSF1), SRSF1 and MLX interacting protein like (MLXIPL) were confirmed by RNA-pull down and RIP assay. HOTAIR was highly expressed in free fatty acids (FFA)-treated HepG2 cells. HOTAIR knockdown alleviated FFA-induced inflammation of HepG2 cells. Then further analysis showed that HOTAIR and SRSF1 had a mutual binding relationship, and HOTAIR maintained MLXIPL mRNA stability via recruiting SRSF1 in HepG2 cells. Moreover, the inhibitory effect of HOTAIR knockdown on FFA-induced inflammation in HepG2 cells was reversed by MLXIPL overexpression. HOTAIR accelerates inflammation of FFA-induced HepG2 cells by recruiting SRSF1 to stabilize MLXIPL mRNA, which will help to find new effective strategies for NAFLD therapy. Supplementary Information The online version contains supplementary material available at 10.1007/s10616-023-00614-x.
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Affiliation(s)
- Bo Guo
- School of Clinical Medicine, Guangzhou Health Science College, Guangzhou, 510450 Guangdong China
| | - Shengzhe Yan
- Department of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280 Guangdong China
| | - Lei Zhai
- School of Clinical Medicine, Guangzhou Health Science College, Guangzhou, 510450 Guangdong China
| | - Yanzhen Cheng
- Department of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280 Guangdong China
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Smith J, Brusseau ML, Guo B. An integrated analytical modeling framework for determining site-specific soil screening levels for PFAS. Water Res 2024; 252:121236. [PMID: 38330716 DOI: 10.1016/j.watres.2024.121236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/25/2024] [Accepted: 01/28/2024] [Indexed: 02/10/2024]
Abstract
Soils at many contaminated sites have accumulated a significant amount of per- and polyfluoroalkyl substances (PFAS) and may require remediation to mitigate leaching to groundwater. USEPA's current approaches for determining soil screening levels (SSLs) were developed for non-PFAS contaminants. Because many PFAS are interfacially-active with unique leaching behaviors in soils, the current non-PFAS-specific soil screening models may not be applicable. Following USEPA's general methodology, we develop a new modeling framework representing PFAS-specific transport processes for determining site-specific SSLs for PFAS-contaminated sites. We couple a process-based analytical model for PFAS leaching in the vadose zone and a dilution factor model for groundwater in an integrated framework. We apply the new modeling framework to two typical types of contaminated sites. Comparisons with the standard USEPA SSL approach suggest that accounting for the PFAS-specific transport processes may significantly increase the SSL for some PFAS. For the range of soil properties and groundwater recharge rates examined, while SSLs determined with the new model are less than a factor of 2 different from the standard-model values for less interfacially-active shorter-chain PFAS, they are up to two orders of magnitudes greater for more interfacially-active longer-chain PFAS. The new analytical modeling framework provides an effective tool for deriving more accurate site-specific SSLs and improving site characterization and remedial efforts at PFAS-contaminated sites.
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Affiliation(s)
- Jacob Smith
- Department of Hydrology and Atmospheric Sciences, University of Arizona, United States of America
| | - Mark L Brusseau
- Department of Hydrology and Atmospheric Sciences, University of Arizona, United States of America; Department of Environmental Science, University of Arizona, United States of America
| | - Bo Guo
- Department of Hydrology and Atmospheric Sciences, University of Arizona, United States of America.
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Yu W, Zheng T, Guo B, Tao Y, Liu L, Yan N, Zheng X. Coupling of polyhydroxybutyrate and zero-valent iron for enhanced treatment of nitrate pollution within the Permeable Reactive Barrier and its downgradient aquifer. Water Res 2024; 250:121060. [PMID: 38181646 DOI: 10.1016/j.watres.2023.121060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/18/2023] [Accepted: 12/22/2023] [Indexed: 01/07/2024]
Abstract
Permeable Reactive Barriers (PRBs) have been utilized for mitigating nitrate pollution in groundwater systems through the use of solid carbon and iron fillers that release diverse nutrients to enhance denitrification efficiency. We conduct laboratory column tests to evaluate the effectiveness of PRBs in remediating nitrate pollution both within the PRB and in the downgradient aquifer. We use an iron-carbon hydrogel (ICH) as PRB filler, which has different weight ratios of polyhydroxybutyrate (PHB) and microscale zero-valent iron (mZVI). Results reveal that denitrification in the downgradient aquifer accounts for at least 19.5 % to 32.5 % of the total nitrate removal. In the ICH, a higher ratio of PHB to mZVI leads to higher contribution of the downgradient aquifer to nitrate removal, while a lower ratio results in smaller contribution. Microbial community analysis further reveals that heterotrophic and mixotrophic bacteria dominate in the downgradient aquifer of the PRB, and their relative abundance increases with a higher ratio of PHB to mZVI in the ICH. Within the PRB, autotrophic and iron-reducing bacteria are more prevalent, and their abundance increases as the ratio of PHB to mZVI in the ICH decreases. These findings emphasize the downgradient aquifer's substantial role in nitrate removal, particularly driven by dissolved organic carbon provided by PHB. This research holds significant implications for nutrient waste management, including the prevention of secondary pollution, and the development of cost-effective PRBs.
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Affiliation(s)
- Wenhao Yu
- Key Lab of Marine Environmental Science and Ecology, Ministry of Education, College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, PR China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China
| | - Tianyuan Zheng
- Key Lab of Marine Environmental Science and Ecology, Ministry of Education, College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, PR China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China.
| | - Bo Guo
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA.
| | - Yiheng Tao
- Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ08544, USA
| | - Lecheng Liu
- Key Lab of Marine Environmental Science and Ecology, Ministry of Education, College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, PR China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China
| | - Ni Yan
- Key Lab of Marine Environmental Science and Ecology, Ministry of Education, College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, PR China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China
| | - Xilai Zheng
- Key Lab of Marine Environmental Science and Ecology, Ministry of Education, College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, PR China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China
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Guo B, Li P, Qin B, Wang S, Zhang W, Shi Y, Yang J, Niu J, Chen S, Chen X, Cui L, Fu Q, Guo L, Hou Z, Li H, Li X, Liu R, Liu X, Mao Z, Niu X, Qin C, Song X, Sun R, Sun T, Wang D, Wang Y, Xu L, Xu X, Yang Y, Zhang B, Zhou D, Li Z, Chen Y, Jin Y, Du J, Shao H. An analysis of differences in Carbapenem-resistant Enterobacterales in different regions: a multicenter cross-sectional study. BMC Infect Dis 2024; 24:116. [PMID: 38254025 PMCID: PMC10804584 DOI: 10.1186/s12879-024-09005-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
OBJECTIVE This study aimed to explore the characteristics of carbapenem-resistant Enterobacterales (CRE) patients in the intensive care unit (ICU) in different regions of Henan Province to provide evidence for the targeted prevention and treatment of CRE. METHODS This was a cross-sectional study. CRE screening was conducted in the ICUs of 78 hospitals in Henan Province, China, on March 10, 2021. The patients were divided into provincial capital hospitals and nonprovincial capital hospitals for comparative analysis. RESULTS This study involved 1009 patients in total, of whom 241 were CRE-positive patients, 92 were in the provincial capital hospital and 149 were in the nonprovincial capital hospital. Provincial capital hospitals had a higher rate of CRE positivity, and there was a significant difference in the rate of CRE positivity between the two groups. The body temperature; immunosuppressed state; transfer from the ICU to other hospitals; and use of enemas, arterial catheters, carbapenems, or tigecycline at the provincial capital hospital were greater than those at the nonprovincial capital hospital (P < 0.05). However, there was no significant difference in the distribution of carbapenemase strains or enzymes between the two groups. CONCLUSIONS The detection rate of CRE was significantly greater in provincial capital hospitals than in nonprovincial capital hospitals. The source of the patients, invasive procedures, and use of advanced antibiotics may account for the differences. Carbapenem-resistant Klebsiella pneumoniae (CR-KPN) was the most prevalent strain. Klebsiella pneumoniae carbapenemase (KPC) was the predominant carbapenemase enzyme. The distributions of carbapenemase strains and enzymes were similar in different regions.
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Affiliation(s)
- Bo Guo
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Peili Li
- Department of Public Utilities Development, Henan Provincial People's Hospital, Zhengzhou, China
| | - Bingyu Qin
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Shanmei Wang
- Department of Microbiology Laboratory, Henan Provincial People's Hospital, Zhengzhou, China
| | - Wenxiao Zhang
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Yuan Shi
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Jianxu Yang
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Jingjing Niu
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Shifeng Chen
- Department of Critical Care Medicine, The Second People's Hospital of Pingdingshan City, Pingdingshan, China
| | - Xiao Chen
- Department of Critical Care Medicine, Nanyang Nanshi Hospital, Nanyang, China
| | - Lin Cui
- Department of Critical Care Medicine, Yellow River Central Hospital, Zhengzhou, China
| | - Qizhi Fu
- Department of Critical Care Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Lin Guo
- Department of Critical Care Medicine, The Seventh People's Hospital of Zhengzhou, Zhengzhou, China
| | - Zhe Hou
- Department of Critical Care Medicine, Zhengzhou Orthopedic Hospital, Zhengzhou, China
| | - Hua Li
- Department of Critical Care Medicine, Henan Provincial Hospital of Traditional Chinese Medicine, Zhengzhou, China
| | - Xiaohui Li
- Department of Critical Care Medicine, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Ruifang Liu
- Department of Critical Care Medicine, The Third People's Hospital of Henan Province, Zhengzhou, China
| | - Xiaojun Liu
- Department of Critical Care Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhengrong Mao
- Department of Critical Care Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Xingguo Niu
- Department of Critical Care Medicine, Zhengzhou People's Hospital, Zhengzhou, 450000, China
| | - Chao Qin
- Department of Critical Care Medicine, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xianrong Song
- Department of Critical Care Medicine, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Rongqing Sun
- Department of Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tongwen Sun
- Department of Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Daoxie Wang
- Department of Critical Care Medicine, The Third People's Hospital of Zhengzhou, Zhengzhou, China
| | - Yong Wang
- Department of Critical Care Medicine, Huaihe Hospital of Henan University, Kaifeng, China
| | - Lanjuan Xu
- Department of Critical Care Medicine, Zhengzhou Central Hospital, Zhengzhou, China
| | - Xin Xu
- Department of Critical Care Medicine, The First Affiliated Hospital of Henan University, Kaifeng, China
| | - Yuejie Yang
- Department of Critical Care Medicine, The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Baoquan Zhang
- Department of Critical Care Medicine, The Third Affiliated Hospital of Xinxiang Medical College, Xinxiang, China
| | - Dongmin Zhou
- Department of Critical Care Medicine, Henan Cancer Hospital, Zhengzhou, China
| | - Zhaozhen Li
- Department of Critical Care Medicine, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Yinyin Chen
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Yue Jin
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Juan Du
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Huanzhang Shao
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China.
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Staplin N, Haynes R, Judge PK, Wanner C, Green JB, Emberson J, Preiss D, Mayne KJ, Ng SYA, Sammons E, Zhu D, Hill M, Stevens W, Wallendszus K, Brenner S, Cheung AK, Liu ZH, Li J, Hooi LS, Liu WJ, Kadowaki T, Nangaku M, Levin A, Cherney D, Maggioni AP, Pontremoli R, Deo R, Goto S, Rossello X, Tuttle KR, Steubl D, Petrini M, Seidi S, Landray MJ, Baigent C, Herrington WG, Abat S, Abd Rahman R, Abdul Cader R, Abdul Hafidz MI, Abdul Wahab MZ, Abdullah NK, Abdul-Samad T, Abe M, Abraham N, Acheampong S, Achiri P, Acosta JA, Adeleke A, Adell V, Adewuyi-Dalton R, Adnan N, Africano A, Agharazii M, Aguilar F, Aguilera A, Ahmad M, Ahmad MK, Ahmad NA, Ahmad NH, Ahmad NI, Ahmad Miswan N, Ahmad Rosdi H, Ahmed I, Ahmed S, Ahmed S, Aiello J, Aitken A, AitSadi R, Aker S, Akimoto S, Akinfolarin A, Akram S, Alberici F, Albert C, Aldrich L, Alegata M, Alexander L, Alfaress S, Alhadj Ali M, Ali A, Ali A, Alicic R, Aliu A, Almaraz R, Almasarwah R, Almeida J, Aloisi A, Al-Rabadi L, Alscher D, Alvarez P, Al-Zeer B, Amat M, Ambrose C, Ammar H, An Y, Andriaccio L, Ansu K, Apostolidi A, Arai N, Araki H, Araki S, Arbi A, Arechiga O, Armstrong S, Arnold T, Aronoff S, Arriaga W, Arroyo J, Arteaga D, Asahara S, Asai A, Asai N, Asano S, Asawa M, Asmee MF, Aucella F, Augustin M, Avery A, Awad A, Awang IY, Awazawa M, Axler A, Ayub W, Azhari Z, Baccaro R, Badin C, Bagwell B, Bahlmann-Kroll E, Bahtar AZ, Baigent C, Bains D, Bajaj H, Baker R, Baldini E, Banas B, Banerjee D, Banno S, Bansal S, Barberi S, Barnes S, Barnini C, Barot C, Barrett K, Barrios R, Bartolomei Mecatti B, Barton I, Barton J, Basily W, Bavanandan S, Baxter A, Becker L, Beddhu S, Beige J, Beigh S, Bell S, Benck U, Beneat A, Bennett A, Bennett D, Benyon S, Berdeprado J, Bergler T, Bergner A, Berry M, Bevilacqua M, Bhairoo J, Bhandari S, Bhandary N, Bhatt A, Bhattarai M, Bhavsar M, Bian W, Bianchini F, Bianco S, Bilous R, Bilton J, Bilucaglia D, Bird C, Birudaraju D, Biscoveanu M, Blake C, Bleakley N, Bocchicchia K, Bodine S, Bodington R, Boedecker S, Bolduc M, Bolton S, Bond C, Boreky F, Boren K, Bouchi R, Bough L, Bovan D, Bowler C, Bowman L, Brar N, Braun C, Breach A, Breitenfeldt M, Brenner S, Brettschneider B, Brewer A, Brewer G, Brindle V, Brioni E, Brown C, Brown H, Brown L, Brown R, Brown S, Browne D, Bruce K, Brueckmann M, Brunskill N, Bryant M, Brzoska M, Bu Y, Buckman C, Budoff M, Bullen M, Burke A, Burnette S, Burston C, Busch M, Bushnell J, Butler S, Büttner C, Byrne C, Caamano A, Cadorna J, Cafiero C, Cagle M, Cai J, Calabrese K, Calvi C, Camilleri B, Camp S, Campbell D, Campbell R, Cao H, Capelli I, Caple M, Caplin B, Cardone A, Carle J, Carnall V, Caroppo M, Carr S, Carraro G, Carson M, Casares P, Castillo C, Castro C, Caudill B, Cejka V, Ceseri M, Cham L, Chamberlain A, Chambers J, Chan CBT, Chan JYM, Chan YC, Chang E, Chang E, Chant T, Chavagnon T, Chellamuthu P, Chen F, Chen J, Chen P, Chen TM, Chen Y, Chen Y, Cheng C, Cheng H, Cheng MC, Cherney D, Cheung AK, Ching CH, Chitalia N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, Hernandez G, Hernandez Pena A, Hernandez-Cassis C, Herrington WG, Herzog C, Hewins S, Hewitt D, Hichkad L, Higashi S, Higuchi C, Hill C, Hill L, Hill M, Himeno T, Hing A, Hirakawa Y, Hirata K, Hirota Y, Hisatake T, Hitchcock S, Hodakowski A, Hodge W, Hogan R, Hohenstatt U, Hohenstein B, Hooi L, Hope S, Hopley M, Horikawa S, Hosein D, Hosooka T, Hou L, Hou W, Howie L, Howson A, Hozak M, Htet Z, Hu X, Hu Y, Huang J, Huda N, Hudig L, Hudson A, Hugo C, Hull R, Hume L, Hundei W, Hunt N, Hunter A, Hurley S, Hurst A, Hutchinson C, Hyo T, Ibrahim FH, Ibrahim S, Ihana N, Ikeda T, Imai A, Imamine R, Inamori A, Inazawa H, Ingell J, Inomata K, Inukai Y, Ioka M, Irtiza-Ali A, Isakova T, Isari W, Iselt M, Ishiguro A, Ishihara K, Ishikawa T, Ishimoto T, Ishizuka K, Ismail R, Itano S, Ito H, Ito K, Ito M, Ito Y, Iwagaitsu S, Iwaita Y, Iwakura T, Iwamoto M, Iwasa M, Iwasaki H, Iwasaki S, Izumi K, Izumi K, Izumi T, Jaafar SM, Jackson C, Jackson Y, Jafari G, Jahangiriesmaili M, Jain N, Jansson K, Jasim 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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, Nakahara M, Nakamura J, Nakamura R, Nakamura T, Nakaoka M, Nakashima E, Nakata J, Nakata M, Nakatani S, Nakatsuka A, Nakayama Y, Nakhoul G, Nangaku M, Naverrete G, Navivala A, Nazeer I, Negrea L, Nethaji C, Newman E, Ng SYA, Ng TJ, Ngu LLS, Nimbkar T, Nishi H, Nishi M, Nishi S, Nishida Y, Nishiyama A, Niu J, Niu P, Nobili G, Nohara N, Nojima I, Nolan J, Nosseir H, Nozawa M, Nunn M, Nunokawa S, Oda M, Oe M, Oe Y, Ogane K, Ogawa W, Ogihara T, Oguchi G, Ohsugi M, Oishi K, Okada Y, Okajyo J, Okamoto S, Okamura K, Olufuwa O, Oluyombo R, Omata A, Omori Y, Ong LM, Ong YC, Onyema J, Oomatia A, Oommen A, Oremus R, Orimo Y, Ortalda V, Osaki Y, Osawa Y, Osmond Foster J, O'Sullivan A, Otani T, Othman N, Otomo S, O'Toole J, Owen L, Ozawa T, Padiyar A, Page N, Pajak S, Paliege A, Pandey A, Pandey R, Pariani H, Park J, Parrigon M, Passauer J, Patecki M, Patel M, Patel R, Patel T, Patel Z, Paul R, Paul R, Paulsen L, Pavone L, Peixoto A, Peji J, Peng BC, Peng K, Pennino L, Pereira E, Perez E, Pergola 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Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Chen Z, Sun Z, Fan Y, Yin M, Jin C, Guo B, Yin Y, Quan R, Zhao S, Han S, Cheng X, Liu W, Chen B, Xiao Z, Dai J, Zhao Y. Mimicked Spinal Cord Fibers Trigger Axonal Regeneration and Remyelination after Injury. ACS Nano 2023; 17:25591-25613. [PMID: 38078771 DOI: 10.1021/acsnano.3c09892] [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: 12/27/2023]
Abstract
Spinal cord injury (SCI) causes tissue structure damage and composition changes of the neural parenchyma, resulting in severe consequences for spinal cord function. Mimicking the components and microstructure of spinal cord tissues holds promise for restoring the regenerative microenvironment after SCI. Here, we have utilized electrospinning technology to develop aligned decellularized spinal cord fibers (A-DSCF) without requiring synthetic polymers or organic solvents. A-DSCF preserves multiple types of spinal cord extracellular matrix proteins and forms a parallel-oriented structure. Compared to aligned collagen fibers (A-CF), A-DSCF exhibits stronger mechanical properties, improved enzymatic stability, and superior functionality in the adhesion, proliferation, axonal extension, and myelination of differentiated neural progenitor cells (NPCs). Notably, axon extension or myelination has been primarily linked to Agrin (AGRN), Laminin (LN), or Collagen type IV (COL IV) proteins in A-DSCF. When transplanted into rats with complete SCI, A-DSCF loaded with NPCs improves the survival, maturation, axon regeneration, and motor function of the SCI rats. These findings highlight the potential of structurally and compositionally biomimetic scaffolds to promote axonal extension and remyelination after SCI.
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Affiliation(s)
- Zhenni Chen
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zheng Sun
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongheng Fan
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Man Yin
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chen Jin
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Guo
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanyun Yin
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Rui Quan
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuaijing Zhao
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuyu Han
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaokang Cheng
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Weiyuan Liu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bing Chen
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhifeng Xiao
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jianwu Dai
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- Tianjin Key Laboratory of Biomedical Materials, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Yannan Zhao
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
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9
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Guo B, Liu H, Niu L. Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring. Front Neurorobot 2023; 17:1265936. [PMID: 38111712 PMCID: PMC10725971 DOI: 10.3389/fnbot.2023.1265936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 11/06/2023] [Indexed: 12/20/2023] Open
Abstract
Health monitoring is a critical aspect of personalized healthcare, enabling early detection, and intervention for various medical conditions. The emergence of cloud-based robot-assisted systems has opened new possibilities for efficient and remote health monitoring. In this paper, we present a Transformer-based Multi-modal Fusion approach for health monitoring, focusing on the effects of cognitive workload, assessment of cognitive workload in human-machine collaboration, and acceptability in human-machine interactions. Additionally, we investigate biomechanical strain measurement and evaluation, utilizing wearable devices to assess biomechanical risks in working environments. Furthermore, we study muscle fatigue assessment during collaborative tasks and propose methods for improving safe physical interaction with cobots. Our approach integrates multi-modal data, including visual, audio, and sensor- based inputs, enabling a holistic assessment of an individual's health status. The core of our method lies in leveraging the powerful Transformer model, known for its ability to capture complex relationships in sequential data. Through effective fusion and representation learning, our approach extracts meaningful features for accurate health monitoring. Experimental results on diverse datasets demonstrate the superiority of our Transformer-based multi- modal fusion approach, outperforming existing methods in capturing intricate patterns and predicting health conditions. The significance of our research lies in revolutionizing remote health monitoring, providing more accurate, and personalized healthcare services.
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Affiliation(s)
- Bo Guo
- School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China
- Department of Computing, Faculty of Communication, Visual Art and Computing, Universiti Selangor, Selangor, Malaysia
| | - Huaming Liu
- School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China
| | - Lei Niu
- School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China
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10
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Brusseau ML, Guo B. Revising the EPA Dilution-Attenuation Soil Screening Model for PFAS. J Hazard Mater Lett 2023; 4:100077. [PMID: 37990738 PMCID: PMC10662647 DOI: 10.1016/j.hazl.2023.100077] [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: 11/23/2023]
Abstract
Per and polyfluoroalkyl substances (PFAS) have been shown to be ubiquitous in the environment, and one issue of critical concern is the leaching of PFAS from soil to groundwater. The risk posed by contaminants present in soil is often assessed in terms of the anticipated impact to groundwater through the determination of soil screening levels (SSLs). The U.S. Environmental Protection Agency (EPA) established a soil screening model for determining SSLs. However, the model does not consider the unique retention properties of PFAS and, consequently, the SSLs established with the model may not represent the actual levels that are protective of groundwater quality. The objective of this work is to revise the standard EPA SSL model to reflect the unique properties and associated retention behavior of PFAS. Specifically, the distribution parameter used to convert soil porewater concentrations to soil concentrations is revised to account for adsorption at the air-water interface. Example calculations conducted for PFOS and PFOA illustrate the contrasting SSLs obtained with the revised and standard models. A comparison of distribution parameters calculated for a series of PFAS of different chain length shows that the significance of air-water interfacial adsorption can vary greatly as a function of the specific PFAS. Therefore, the difference between SSLs calculated with the revised versus standard models will vary as a function of the specific PFAS, with greater differences typically observed for longer-chain PFAS. It is anticipated that this revised model will be useful for developing improved SSLs that can be used to enhance site investigations and management for PFAS-impacted sites.
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Affiliation(s)
- Mark L. Brusseau
- Environmental Science Department, The University of Arizona, Tucson, AZ 85721
- Hydrology and Atmospheric Sciences Department, The University of Arizona, Tucson, AZ 85721
| | - Bo Guo
- Hydrology and Atmospheric Sciences Department, The University of Arizona, Tucson, AZ 85721
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11
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Yan C, Guo B, Keller LM, Suh JH, Xia P. Dosimetric Quality of Artificial Intelligence Based Organ at Risk Segmentation. Int J Radiat Oncol Biol Phys 2023; 117:e493. [PMID: 37785555 DOI: 10.1016/j.ijrobp.2023.06.1728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) to compare dosimetric parameters between Artificial intelligence (AI) generated organ at risks (OAR) and Radiation Oncologist approved OARs and evaluation of appropriateness unedited AI- OARs in routine clinical plan optimization and evaluation. MATERIALS/METHODS The OARs (lung, spinal cord and heart) for twenty SBRT (stereotactic body radiotherapy) lung CT simulation datasets were derived by AI based segmentation algorithms. These AI- OARs were edited by a staff Radiation Oncologist and then subjected to our SBRT peer-review process at our institution. A SBRT plan based on the approved contours was created. Dosimetric parameters for the unedited AI-OARs and edited physician-approved OARs were then compared. RESULTS Lung V20 differences between AI- OAR and physician- OAR varied from 0.01% - 0.7% with a mean value of 0.1% difference (p-value 0.004). Spinal cord D0.03cc varied from 0.02 Gy - 0.9 Gy with a mean value of 0.3 Gy difference (p-value 0.002). Heart D0.03cc varied from 0.01 Gy - 4.3 Gy with mean value 0.9 Gy difference (p-value 0.02). CONCLUSION Dosimetric parameters for AI-based lung, spinal cord and heart OARs vs physician approved OARs were different, overall, the differences were generally small. These differences are likely on par with inter-observer differences seen between individual radiation oncologists. Unedited OARs have the promise for routine use in plan optimization and evaluation to further improve efficiency.
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Affiliation(s)
- C Yan
- Cleveland Clinic Foundation, Cleveland, OH
| | - B Guo
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | | | - J H Suh
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - P Xia
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
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12
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Lin C, Ni X, Xiao N, Yang F, Guo B, Liao D, Li J. Prognostic Value of Tumor Volume Reduction during Radiotherapy in Patients with Locally Advanced Cervical Cancer in Different Risk Groups. Int J Radiat Oncol Biol Phys 2023; 117:e527. [PMID: 37785639 DOI: 10.1016/j.ijrobp.2023.06.1803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate the risk factors of patients with locally advanced cervical cancer (LACC) undergoing radical radiotherapy (with or without concurrent chemotherapy) and to assess the prognostic value of tumor volume regression (TVR) based on magnetic resonance imaging (MRI) in different risk groups. MATERIALS/METHODS A retrospective analysis was performed on 176 individuals diagnosed with stage IIA-IVA cervical cancer (CC) who underwent radical intensity-modulated radiotherapy in our center between January 2012 and December 2020. The tumor volume before radiotherapy (TVp) and before brachytherapy (TVmid) were evaluated based on three-dimensional MRI images, TVR = (TVp -TVmid)/TVp × 100%. Kaplan-Meier curves were used to assess patient's overall survival (OS) and progression-free survival (PFS). Prognostic factors were identified using Cox proportional hazards models. RESULTS For the entire cohort, patients with TVR ≥ 94% had better 5-year OS (82.7% vs 49.8%, p<0.001) and 5-year PFS (82.5% vs 51.1%, p<0.001) compared to TVR < 94%. Patients with TVR ≥ 94% were more likely to receive concurrent chemoradiotherapy (CCRT) than those with TVR < 94% (70.1% vs 40.5%, p<0.05). Among patients undergoing CCRT, those with a TVR ≥ 94% had a better prognosis than those with a TVR < 94%. However, among patients who received RT alone, those with TVR ≥ 94% had better PFS but no statistically significant difference in OS. Likewise, among patients with CYFRA21-1 < 7.7 ng/ml, patients with TVR ≥ 94% had a better prognosis. However, TVR was not a prognostic factor in patients with CYFRA21-1 ≥ 7.7 ng/ml. Both CYFRA21-1 (OS, PFS interaction, p<0.001) and FIGO stage (PFS interaction, p = 0.035) were found to significantly impact predictive effects of TVR. CONCLUSION In LACC patients with CRYFA21-1 < 7.7 ng/ml who received CCRT, TVR was an important prognostic factor. However, in patients with CRYFA21-1 ≥ 7.7 ng/ml who received RT alone, the prognostic value of TVR needs to be further explored.
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Affiliation(s)
- C Lin
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - X Ni
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - N Xiao
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - F Yang
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - B Guo
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - D Liao
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - J Li
- Department of Radiation Oncology, College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, Fujian, China, Fuhzou, Fujian, China
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Kilic SS, Halima A, Zhang Z, Cho YB, Magnelli A, Kalaycio M, Sauter CS, Sobecks R, Hamilton B, Rotz SJ, Hanna R, Murphy ES, Cherian S, Xia P, Guo B. Clinical Outcomes of Image-Guided Volumetric Modulated Arc Therapy for Total Body Irradiation. Int J Radiat Oncol Biol Phys 2023; 117:S89. [PMID: 37784597 DOI: 10.1016/j.ijrobp.2023.06.415] [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)-based total body irradiation (TBI) with image guidance is a novel technique that is increasing in implementation. Compared to conventional TBI, VMAT-TBI offers favorable dose homogeneity, better organ-at-risk sparing, and enhanced patient comfort. However, whether these dosimetric advantages translate to improved clinical outcomes that justify the increased planning and delivery burden is not well understood. Only a single study of clinical outcomes of VMAT-TBI exists in the literature. We present the largest study to date of clinical outcomes of VMAT-TBI. MATERIALS/METHODS In this IRB-approved retrospective single-institution study, all patients treated with VMAT-TBI conditioning for allogeneic stem cell transplant, per the institution's published protocol, were identified. Dosimetric data were abstracted from the radiation oncology treatment planning system. Clinical data were abstracted from the electronic medical record. The primary outcome was six-month overall survival (6M OS) from the last day of TBI by Kaplan-Meier method. RESULTS Fifty-five patients (47 adult and 8 pediatric) were treated with VMAT-TBI between June 2020 and December 2022. All patients received conditioning chemotherapy with standard-dose TBI of 12 or 13.2 Gy in 8 twice-daily fractions. The PTV coverage (V95%) mean was 95.3% ± 1.2%. Mean lung dose was 9.5 Gy ± 0.6 for adult patients and 8.4 Gy ± 0.9 for pediatric patients. Mean lung dose rate was 18.0 cGy/min ± 4.4. Mean kidney dose was 5.9 Gy ± 0.6. Mean skin dose measured by MOSFET was 12.7 Gy ± 1.2. Median treatment time was 63 minutes (range: 53-104). Median follow-up was 7.7 months. At most recent follow-up, 78% of patients were alive. 6M OS was 82%. Common acute toxicities were fatigue (90.9% of patients, all grade 1-2), diarrhea (70.9%, all grade 1-2), nausea (76.4%, all grade 1-2), mucositis (60% grade 1-2, 12.7% grade 3, 1.8% grade 4, no grade 5), and xerostomia (54.5%, all grade 1). Mean pretreatment FEV1 was 98.3 percent of predicted (%p) ± 11.9%p and mean posttreatment FEV1 was 94.7%p ± 13.8%p. Mean pretreatment GFR was 101.4mL/min/1.73m² ± 17.4, mean 3-month posttreatment GFR was 92.4 ± 20.0, and mean 6-month posttreatment GFR was 97.5 ± 26.48. One patient experienced grade 2 pneumonitis; there were no other cases of pneumonitis. There were no acute grade 3+ toxicities aside from mucositis. Observed late toxicities were cataracts (7.3%, all grades 1-3) and hypothyroidism (12.7%, all grades 1-2). There were no grade 3+ late toxicities. Mild acute graft-versus-host disease (GVHD) was noted in 27.2% of patients and mild chronic GVHD was noted in 14.5% of patients, with no other cases of GVHD. CONCLUSION In the largest series to date, VMAT-TBI had excellent oncologic and toxicity outcomes. A randomized trial of VMAT-TBI versus standard TBI is warranted.
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Affiliation(s)
- S S Kilic
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - A Halima
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - Z Zhang
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - Y B Cho
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - A Magnelli
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - M Kalaycio
- Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - C S Sauter
- Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - R Sobecks
- Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - B Hamilton
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - S J Rotz
- Department of Pediatric, Hematology, Oncology, and Blood and Marrow Transplantation, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - R Hanna
- Department of Pediatric Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - E S Murphy
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - S Cherian
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - P Xia
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - B Guo
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
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14
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Xue J, Qin S, Ren N, Guo B, Shi X, Jia E. Extracellular vesicle biomarkers in circulation for the diagnosis of gastric cancer: A systematic review and meta‑analysis. Oncol Lett 2023; 26:423. [PMID: 37664665 PMCID: PMC10472029 DOI: 10.3892/ol.2023.14009] [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: 11/28/2022] [Accepted: 06/14/2023] [Indexed: 09/05/2023] Open
Abstract
The prognosis of a gastric cancer (GC) diagnosis is poor due to the current lack of effective early diagnostic methods. Extracellular vesicle (EV) biomarkers have previously demonstrated strong diagnostic efficiency for certain types of cancer, including pancreatic and lung cancer. The present review aimed to summarize the diagnostic value of circulating EV biomarkers for early stage GC. The PubMed, Medline and Web of Science databases were searched from May 1983 to September 18, 2022. All studies that reported the diagnostic performance of EV biomarkers for GC were included for analysis. Overall, 27 studies were selected containing 2,831 patients with GC and 2,117 controls. A total of 58 EV RNAs were reported in 26 studies, including 39 microRNAs (miRNAs), 10 long non-coding RNAs (lncRNAs), five circular RNAs, three PIWI-interacting RNAs and one mRNA, in addition to one protein in the remaining study. Meta-analysis of the aforementioned studies demonstrated that the pooled sensitivity, specificity and AUC value of the total RNAs were 84, 67% and 0.822, respectively. The diagnostic values of miRNAs were consistent with the total RNA, as the pooled sensitivity, specificity and AUC value were 84, 67% and 0.808, respectively. The pooled sensitivity, specificity and AUC values of lncRNAs were 89, 69% and 0.872, respectively, markedly higher compared with that of miRNAs. A total of five studies reported the diagnostic performance of EV RNA panels for early stage GC and reported powerful diagnostic values with a pooled sensitivity, specificity and AUC value of 80, 77% and 0.879, respectively. Circulating EV RNAs could have the potential to be used in the future as effective, noninvasive biomarkers for early GC diagnosis. Further research in this field is necessary to translate these findings into clinical practice.
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Affiliation(s)
- Jinru Xue
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Jilin, Changchun 130000, P.R. China
| | - Shaoyou Qin
- Department of Gastroenterology, China-Japan Union Hospital of Jilin University, Jilin, Changchun 130000, P.R. China
| | - Na Ren
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Jilin, Changchun 130000, P.R. China
| | - Bo Guo
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Jilin, Changchun 130000, P.R. China
| | - Xianquan Shi
- Department of Ultrasound, Beijing Friendship Hospital of Capital Medical University, Beijing 100050, P.R. China
| | - Erna Jia
- Department of Gastroenterology, China-Japan Union Hospital of Jilin University, Jilin, Changchun 130000, P.R. China
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15
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Kilic SS, Halima A, Neyman G, Guo B, Magnelli A, Kolar MD, Cho YB, Qi P, Stevens G, Barnett GH, Angelov L, Mohammadi AM, Woody NM, Chan TA, Yu JS, Murphy ES, Suh JH, Chao ST. Frameless Fractionated Stereotactic Radiosurgery for Brain Metastases: An Institutional Series of 145 Cases. Int J Radiat Oncol Biol Phys 2023; 117:e116. [PMID: 37784659 DOI: 10.1016/j.ijrobp.2023.06.900] [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) Cobalt-60 stereotactic radiosurgery (SRS) typically involves single fraction treatment with frame immobilization. However, large tumor size, proximity to critical structures, and prior radiation treatment sometimes necessitate fractionated SRS with mask immobilization. We present a large institutional experience with fractionated mask-based SRS for brain metastases. MATERIALS/METHODS In this single-institution, IRB-approved study, all patients treated with mask-based fractionated SRS for brain metastases from March 2017 to January 2023 were identified. The primary outcomes were 1- and 2-year local control (LC) by Kaplan-Meier method. RESULTS A total of 118 patients with a total of 145 metastases were treated. The median follow-up time was seven months. The median age at treatment was 64.1 years (range: 26-95 years). 55.9% of patients were female. The most common primary tumors were breast (25.5%), non-small cell lung (23.4%), small-cell lung (8.3%), and melanoma (8.3%). For most cases (59.3%), the indication for fractionation was retreatment. Large size (28.3%), critical location (9.7%), and medical comorbidity (2.1%) were other indications. For all cases, the mean maximal linear size was 34.9 mm and mean target volume was 15.6 cc. For cases fractionated due to size, the mean size was 43.9 mm and mean target volume was 23.8 cc. Median total dose was 2,700 cGy (range: 1,620-3,000), and median dose per fraction (fx) was 600 cGy (range: 405-900). The most common prescriptions were 3,000 cGy/5 fx (40.0% of patients) and 2500 cGy in 500 cGy per fraction (37.2% of patients). Mean maximum dose was 4,833 cGy (range: 2,920-7,500). For 75.2% of treatments, the prescription isodose line was 50 to 59% (mean, 56.9%). Target coverage was 100% in all but one case (99%). For lesions near the brainstem, mean brainstem maximum point dose (MPD) was 9.3 Gy ± 9.8 Gy and brainstem mean dose was 3.3 Gy ± 3.3 Gy. For lesions near the optic pathway, mean optic nerve MPD was 14.4 Gy ± 9.2, optic nerve mean dose was 6.4 Gy ± 5.4 Gy, mean optic chiasm MPD was 11.7 Gy ± 7.9 Gy, and optic chiasm mean dose was 5.4 Gy ± 4.7 Gy. 1-year LC was 88.2% and 2-year LC was 80.4%. When retreatments were excluded, 1-year LC was 98.0% and 2-year LC was 98.0%. 18% of patients had acute grade 1-2 toxicities (fatigue, headache, nausea, and/or alopecia), and one patient had acute grade 3 fatigue. There was no other grade 3+ acute toxicities. 14% of patients had grade 1-2 radiation necrosis (RN); there were no cases of grade 3+ RN. CONCLUSION Cobalt-60 frameless fractionated SRS for brain metastases offers excellent local control, rigorous sparing of critical structures, and minimal toxicity. Frameless fractionated SRS should be considered for large, retreated, or critically located metastases.
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Affiliation(s)
- S S Kilic
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - A Halima
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - G Neyman
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - B Guo
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - A Magnelli
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - M D Kolar
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - Y B Cho
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - P Qi
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - G Stevens
- Rose Ella Burkhardt Brain Tumor & Neuro-oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - G H Barnett
- Rose Ella Burkhardt Brain Tumor & Neuro-oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - L Angelov
- Rose Ella Burkhardt Brain Tumor & Neuro-oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - A M Mohammadi
- Rose Ella Burkhardt Brain Tumor & Neuro-oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - N M Woody
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - T A Chan
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - J S Yu
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - E S Murphy
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - J H Suh
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - S T Chao
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
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16
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Stephans KL, Woody NM, Xia P, Guo B. Using kV Triggered Imaging and Liver Dome Position to Reduce the Dosimetric Error Caused by Breath Hold Variability for Liver Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:S179. [PMID: 37784445 DOI: 10.1016/j.ijrobp.2023.06.2525] [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 a previous study, we demonstrated that manual gating using kV triggered imaging and liver dome position can reduce targeting errors caused by breath hold variability for liver stereotactic body radiation therapy (SBRT). In this study, we quantified the dosimetric error caused by breath hold variability and investigated the effect of liver dome gating on reducing dosimetric error. MATERIALS/METHODS Twenty-five liver SBRT patients treated with deep inspiration breath-hold were included in this IRB approved study. Volumetric modulated arc therapy was used to deliver 30-60 Gy in 1-5 fractions. To verify the breath-hold reproducibility during treatment, a KV triggered image was acquired at the beginning of each breath-hold. The liver dome position was visually compared with the expected upper/lower liver boundaries created by expanding/contracting the liver contour 5mm in the superior-inferior direction. If the liver dome position was within the boundaries, delivery continued; otherwise, beam was held manually and the patient was instructed to take another breath hold until the liver dome position was within boundaries. To calculate delivered dose, for each fraction, the treatment plan was divided into sub-beams, each corresponding to one breath hold using delivery log files. The triggered images were registered to the planning CT to determine the liver position during each breath hold. Dose delivered during each breath hold was calculated by shifting the isocenter of the sub-beam according to the liver position. Breath holds discarded by gating were excluded since no dose was delivered during these breath holds. Delivered fractional doses were compared with planned fractional doses using GTV D99 and liver Dmean. To estimate delivered dose without gating, the first "corrective" breath hold taken after the discarded breath holds was replaced with the prior discarded breath hold and dose calculation was repeated. RESULTS Seven hundred eleven triggered images from 91 treatment fractions were analyzed. Without gating, in 11 of the 91 fractions from 7 of the 25 patients, delivered GTV D99 reduced > 0.50 Gy from planned value (range 0.51-1.68 Gy, 3-10% of planned fractional GTV D99). Liver dome gating was able to detect/exclude irreproducible breath holds in 8 of the 11 fractions, increasing the delivered GTV D99 by 0.70 Gy per fraction on average (range 0.21-1.63 Gy). With liver dome gating, delivered fractional GTV D99 was comparable to planned value for all fractions (12.96 +/- 5.19 Gy vs 13.04 +/- 5.18 Gy, p > 0.05). Liver mean dose was not affected by breath hold variability or gating. Fractional liver Dmean was 2.26 +/- 1.19 Gy from plan, 2.27 +/- 1.21 Gy for delivery with gating and 2.27 +/- 1.20 Gy for delivery without gating. CONCLUSION Breath hold variability may cause tumor underdose. Liver dome gating using kV triggered imaging reduces dosimetric error and ensures tumor coverage for liver SBRT.
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Affiliation(s)
- K L Stephans
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - N M Woody
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - P Xia
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - B Guo
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
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Cho YB, Guo B, Xia P, Campbell SR, Yu JS, Suh JH, Scott JG. Radio-Immune Response of Spatially Fractionated Radiotherapy for VMAT Lattice Plans. Int J Radiat Oncol Biol Phys 2023; 117:e654-e655. [PMID: 37785943 DOI: 10.1016/j.ijrobp.2023.06.2083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate radio-immune response of spatially fractionated radiotherapy (SFRT) for large tumors using VMAT Lattice technique in terms of tumor volume under irradiation and dose fractionation schemes after SFRT. MATERIALS/METHODS Eleven patients treated with SFRT from a single institution were retrospectively replanned to deliver 15Gy in single fraction using Lattice technique. High dose regions are defined by multiple spheres with the diameter of 1.25 to 1.5cm and their vertex space of 3.0 to 4.0cm inside of GTV. VMAT plans with multiple arcs were developed for SFRT. Four palliative fractionation regimens of 200cGy x 12 (EQD2 = 24Gy with a/b of 10Gy), 400cGy x 5 (23.3Gy), 600cGy x 3 (24Gy) and 800cGy x2 (24Gy) and four definitive regimens of 200cGy x 24 (EQD2 = 48Gy), 400cGy x 10 (46.7Gy), 600cGy x 6 (48Gy) and 800cGy x 4 (48Gy) were considered for radiotherapy to follow SFRT. Linear quadratic (LQ) model is compared with radio-immune (RI) response model in which the activation of cytotoxic T lymphocytes, tumor immune suppression capability and immunotherapy drugs can be considered. Tumor regrowth time (TRT, time to tumor regrowth to the original volume after treatment) from each model was compared as a measure of benefit achieved from the application of SFRT. RESULTS The average volume of GTVs in this study was 776cc (range 58-2944cc). Three different SFRT plans (2D GRID technique with conventional collimator, 2D GRID with step & shoot IMRT, and 3D Lattice) were developed for each patient but only Lattice plans were considered in this study since they produced comparable dose modulation inside the tumor but only Lattice significantly reduced skin and critical organ dose. Radio-immune response model always expects longer TRT than LQ model. For palliative regimens, TRT of RI model is longer than that of LQ model by 14.5±9.9, 15.1±10.6, 17.2±12.4, 17.5±12.8 days for each fractionation scheme. When Lattice plan of 15Gy is delivered before the palliative treatment, the difference becomes 25.9±15.3, 31.5±23.3, 36.7±27.6, 37.5±28.5 days. The benefit of SFRT from RI response is only about 10-20 days. Interestingly, RI response is inversely proportional to tumor volume. When curative dose is considered, the difference of TRT is drastically changed from 25.9±9.8, 460.7±285.8, 1180.8±985.7, 1512.0±1327.5 days to 20.7±4.4, 449.0±411.7, 1725.4±2171.0, 3517.7±4531.7 days. The benefit of SFRT from RI response appears larger for large tumor with hypo-fractionation in definitive regimens. CONCLUSION The benefit of SFRT is significant for large tumors with hypo fractionation in the definitive regimens when radio-immune response model is considered which is not apparent in LQ model. Radio-immune response model may help to guide the development of successful treatment scheme large tumor volumes.
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Affiliation(s)
- Y B Cho
- Dep of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - B Guo
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - P Xia
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - S R Campbell
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - J S Yu
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH
| | - J H Suh
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH
| | - J G Scott
- Dept of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
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Guo B, Liu H, Niu L. Integration of natural and deep artificial cognitive models in medical images: BERT-based NER and relation extraction for electronic medical records. Front Neurosci 2023; 17:1266771. [PMID: 37732304 PMCID: PMC10507183 DOI: 10.3389/fnins.2023.1266771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 08/14/2023] [Indexed: 09/22/2023] Open
Abstract
Introduction Medical images and signals are important data sources in the medical field, and they contain key information such as patients' physiology, pathology, and genetics. However, due to the complexity and diversity of medical images and signals, resulting in difficulties in medical knowledge acquisition and decision support. Methods In order to solve this problem, this paper proposes an end-to-end framework based on BERT for NER and RE tasks in electronic medical records. Our framework first integrates NER and RE tasks into a unified model, adopting an end-to-end processing manner, which removes the limitation and error propagation of multiple independent steps in traditional methods. Second, by pre-training and fine-tuning the BERT model on large-scale electronic medical record data, we enable the model to obtain rich semantic representation capabilities that adapt to the needs of medical fields and tasks. Finally, through multi-task learning, we enable the model to make full use of the correlation and complementarity between NER and RE tasks, and improve the generalization ability and effect of the model on different data sets. Results and discussion We conduct experimental evaluation on four electronic medical record datasets, and the model significantly out performs other methods on different datasets in the NER task. In the RE task, the EMLB model also achieved advantages on different data sets, especially in the multi-task learning mode, its performance has been significantly improved, and the ETE and MTL modules performed well in terms of comprehensive precision and recall. Our research provides an innovative solution for medical image and signal data.
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Affiliation(s)
- Bo Guo
- School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China
- Department of Computing, Faculty of Communication, Visual Art and Computing, Universiti Selangor, Bestari Jaya, Selangor, Malaysia
| | - Huaming Liu
- School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China
| | - Lei Niu
- School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China
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19
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Feng Y, Yao S, Li S, Peng Z, Feng G, Ma Y, Guo B, Liu H. Autoimmune regulator (Aire) deficiency results in reduced memory CD8 + T cells after Listeria monocytogenes infection in a murine model. FEBS Lett 2023; 597:2185-2195. [PMID: 37418594 DOI: 10.1002/1873-3468.14696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 06/15/2023] [Accepted: 06/23/2023] [Indexed: 07/09/2023]
Abstract
Homozygous mutations in the autoimmune regulator (AIRE) gene that cripple thymic negative selection of autoreactive T cells result in autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED). However, how AIRE regulates the T-cell response against foreign pathogens is not well understood. Here, we observed comparable primary CD8+ T cells but a markedly reduced memory T-cell population and protective function in Aire-/- mice compared with wild-type after infection with a strain of recombinant Listeria monocytogenes. In adoptive transfer models, exogenous congenic CD8+ T cells transferred into Aire-/- mice also showed a reduction in the memory T-cell population, indicating an important role for extrathymic Aire-expressing cells in shaping or sustaining memory T cells. Moreover, using a bone marrow chimeric model, we found that Aire expressed in radioresistant cells plays an important role in maintaining the memory phenotype. These results provide important insights into the role of extrathymic Aire in the T-cell response to infection.
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Affiliation(s)
- Yi Feng
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Shu Yao
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Shan Li
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Zuxiang Peng
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Guoying Feng
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Yan Ma
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Bo Guo
- Maternal & Child Health Research Institute, Baoan Womens's and Children's Hospital, Jinan University, Shenzhen, China
| | - Hongming Liu
- Department of Hepatobiliary Surgery, Daping Hospital, Army Medical University, Chongqing, China
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20
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Zhao L, Xue M, Zhang L, Guo B, Qin Y, Jiang Q, Sun R, Yang J, Wang L, Liu L, Wang X, Huang C, Tong D. Retraction Note: MicroRNA-4268 inhibits cell proliferation via AKT/JNK signalling pathways by targeting Rab6B in human gastric cancer. Cancer Gene Ther 2023; 30:1308. [PMID: 37612515 DOI: 10.1038/s41417-023-00660-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Lingyu Zhao
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Meng Xue
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
- Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Lu Zhang
- Department of Foreign Languages, Ming De College of Northwestern Polytechnical University, Xi'an, Shaanxi, China
| | - Bo Guo
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Yannan Qin
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Qiuyu Jiang
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Ruifang Sun
- Department of Pathology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Juang Yang
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Lumin Wang
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Liying Liu
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Xiaofei Wang
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Chen Huang
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
| | - Dongdong Tong
- Department of Cell Biology and Genetics/Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
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Guo B, Qin R, Gu ZY, Li YF, Gao L, Huang WR. Diagnostic Efficacy of 18F-FDG PET/CT in Detecting Bone Marrow Infiltration in Patients with Newly Diagnosed Diffuse Large B-Cell Lymphoma. Biomed Environ Sci 2023; 36:510-516. [PMID: 37424244 DOI: 10.3967/bes2023.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/20/2023] [Indexed: 07/11/2023]
Abstract
Objective Diffuse large B-cell lymphoma (DLBCL) is often associated with bone marrow infiltration, and 2-deoxy-2-(18F) fluorodeoxyglucose positron emission tomography/computed tomography ( 18F-FDG PET/CT) has potential diagnostic significance for bone marrow infiltration in DLBCL. Methods A total of 102 patients diagnosed with DLBCL between September 2019 and August 2022 were included. Bone marrow biopsy and 18F-FDG PET/CT examinations were performed at the time of initial diagnosis. Kappa tests were used to evaluate the agreement of 18F-FDG PET/CT with the gold standard, and the imaging features of DLBCL bone marrow infiltration on PET/CT were described. Results The total detection rate of bone marrow infiltration was not significantly different between PET/CT and primary bone marrow biopsy ( P = 0.302) or between the two bone marrow biopsies ( P = 0.826). The sensitivity, specificity, and Youden index of PET/CT for the diagnosis of DLBCL bone marrow infiltration were 0.923 (95% CI, 0.759-0.979), 0.934 (95% CI, 0.855-0.972), and 0.857, respectively. Conclusion 18F-FDG PET/CT has a comparable efficiency in the diagnosis of DLBCL bone marrow infiltration. PET/CT-guided bone marrow biopsy can reduce the misdiagnosis of DLBCL bone marrow infiltration.
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Affiliation(s)
- Bo Guo
- Department of Hematology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Ran Qin
- Department of Hematology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Zhen Yang Gu
- Department of Hematology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100071, China
| | - Yan Fen Li
- Department of Hematology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100071, China
| | - Lei Gao
- Department of Medical Engineering, Medical Supplies Center of PLA General Hospital, Beijing 100039, China
| | - Wen Rong Huang
- Department of Hematology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100071, China
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22
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Guo B, Saleem H, Brusseau ML. Predicting Interfacial Tension and Adsorption at Fluid-Fluid Interfaces for Mixtures of PFAS and/or Hydrocarbon Surfactants. Environ Sci Technol 2023; 57:8044-8052. [PMID: 37204869 DOI: 10.1021/acs.est.2c08601] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Many per- and polyfluoroalkyl substances (PFAS) are surface-active and adsorb at fluid-fluid interfaces. The interfacial adsorption controls PFAS transport in multiple environmental systems, including leaching through soils, accumulation in aerosols, and treatment methods such as foam fractionation. Most PFAS contamination sites comprise mixtures of PFAS as well as hydrocarbon surfactants, which complicates their adsorption behaviors. We present a mathematical model for predicting interfacial tension and adsorption at fluid-fluid interfaces for multicomponent PFAS and hydrocarbon surfactants. The model is derived from simplifying a prior advanced thermodynamic-based model and applies to nonionic and ionic mixtures of the same charge sign with swamping electrolytes. The only required model inputs are the single-component Szyszkowski parameters obtained for the individual components. We validate the model using literature interfacial tension data of air-water and NAPL (non-aqueous phase liquid)-water interfaces covering a wide range of multicomponent PFAS and hydrocarbon surfactants. Application of the model to representative porewater PFAS concentrations in the vadose zone suggests competitive adsorption can significantly reduce PFAS retention (up to 7 times) at some highly contaminated sites. The multicomponent model can be readily incorporated into transport models to simulate the migration of mixtures of PFAS and/or hydrocarbon surfactants in the environment.
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Affiliation(s)
- Bo Guo
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona 85721, United States
| | - Hassan Saleem
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona 85721, United States
| | - Mark L Brusseau
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona 85721, United States
- Department of Environmental Science, University of Arizona, Tucson, Arizona 85719, United States
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23
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Wang P, Guo B, Zhang X, Wang Y, Yang G, Shen H, Gao S, Zhang L. One-Pot Molecular Diagnosis of Acute Hepatopancreatic Necrosis Disease by Recombinase Polymerase Amplification and CRISPR/Cas12a with Specially Designed crRNA. J Agric Food Chem 2023; 71:6490-6498. [PMID: 37014765 DOI: 10.1021/acs.jafc.2c08689] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Acute hepatopancreatic necrosis disease (AHPND) is one of the most devastating diseases in aquaculture, causing significant economic losses in seafood supplies worldwide. Early detection is critical for its prevention, which requires reliable and fast-responding diagnosis tools with point-of-care testing (POCT) capacity. Recombinase polymerase amplification (RPA) has been combined with CRISPR/Cas12a for AHPND diagnosis with a two-step procedure, but the operation is inconvenient and has the risk of carryover contamination. Here, we develop an RPA-CRISPR one-pot assay that integrates RPA and CRISPR/Cas12a cleavage into simultaneous reactions. Using the special design of crRNA, which is based on suboptimal protospacer adjacent motifs (PAM), RPA and Cas12a are made compatible in one pot. The assay is highly specific with a good sensitivity of 102 copies/reaction. This study provides a new choice for AHPND diagnosis with a POCT facility and sets a good example for developing RPA-CRISPR one-pot molecular diagnosis assays.
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Affiliation(s)
- Pei Wang
- School of Food Science and Pharmaceutical Engineering, School of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Bo Guo
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xue Zhang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yue Wang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China
| | - Guang Yang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China
| | - Hui Shen
- Jiangsu Institute of Oceanology and Marine Fisheries, Nantong 226007, China
| | - Song Gao
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China
| | - Lihui Zhang
- School of Food Science and Pharmaceutical Engineering, School of Life Sciences, Nanjing Normal University, Nanjing 210023, China
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Zhao L, Liu Y, Tong D, Qin Y, Yang J, Xue M, Du N, Liu L, Guo B, Hou N, Han J, Liu S, Liu N, Zhao X, Wang L, Chen Y, Huang C. Corrigendum to "MeCP2 promotes gastric cancer progression through regulating FOXF1/Wnt5a/β-Catenin and MYOD1/Caspase-3 signaling pathways" [EBioMedicine 16 (2017) 87-100]. EBioMedicine 2023; 91:104579. [PMID: 37088036 PMCID: PMC10141496 DOI: 10.1016/j.ebiom.2023.104579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023] Open
Affiliation(s)
- Lingyu Zhao
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Yingxun Liu
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Dongdong Tong
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Yannan Qin
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Juan Yang
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Meng Xue
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Ning Du
- Department of Oncology Surgery, The First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Liying Liu
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Bo Guo
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Ni Hou
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Jia Han
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Siyuan Liu
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Na Liu
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Xiaoge Zhao
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Lumin Wang
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Yanke Chen
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China
| | - Chen Huang
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an, 710061, People's Republic of China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Shaanxi, Xi'an, 710061, People's Republic of China.
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25
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Li Z, Zhang B, Liu Q, Tao Z, Ding L, Guo B, Zhang E, Zhang H, Meng Z, Guo S, Chen Y, Peng J, Li J, Wang C, Huang Y, Xu H, Wu Y. Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver disease. EBioMedicine 2023; 90:104543. [PMID: 37002989 PMCID: PMC10070091 DOI: 10.1016/j.ebiom.2023.104543] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/09/2023] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Some observational studies found that dyslipidaemia is a risk factor for non-alcoholic fatty liver disease (NAFLD), and lipid-lowering drugs may lower NAFLD risk. However, it remains unclear whether dyslipidaemia is causative for NAFLD. This Mendelian randomisation (MR) study aimed to explore the causal role of lipid traits in NAFLD and evaluate the potential effect of lipid-lowering drug targets on NAFLD. METHODS Genetic variants associated with lipid traits and variants of genes encoding lipid-lowering drug targets were extracted from the Global Lipids Genetics Consortium genome-wide association study (GWAS). Summary statistics for NAFLD were obtained from two independent GWAS datasets. Lipid-lowering drug targets that reached significance were further tested using expression quantitative trait loci data in relevant tissues. Colocalisation and mediation analyses were performed to validate the robustness of the results and explore potential mediators. FINDINGS No significant effect of lipid traits and eight lipid-lowering drug targets on NAFLD risk was found. Genetic mimicry of lipoprotein lipase (LPL) enhancement was associated with lower NAFLD risks in two independent datasets (OR1 = 0.60 [95% CI 0.50-0.72], p1 = 2.07 × 10-8; OR2 = 0.57 [95% CI 0.39-0.82], p2 = 3.00 × 10-3). A significant MR association (OR = 0.71 [95% CI, 0.58-0.87], p = 1.20 × 10-3) and strong colocalisation association (PP.H4 = 0.85) with NAFLD were observed for LPL expression in subcutaneous adipose tissue. Fasting insulin and type 2 diabetes mediated 7.40% and 9.15%, respectively, of the total effect of LPL on NAFLD risk. INTERPRETATION Our findings do not support dyslipidaemia as a causal factor for NAFLD. Among nine lipid-lowering drug targets, LPL is a promising candidate drug target in NAFLD. The mechanism of action of LPL in NAFLD may be independent of its lipid-lowering effects. FUNDING Capital's Funds for Health Improvement and Research (2022-4-4037). CAMS Innovation Fund for Medical Sciences (CIFMS, grant number: 2021-I2M-C&T-A-010).
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Affiliation(s)
- Ziang Li
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Bin Zhang
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Qingrong Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Zhihang Tao
- State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lu Ding
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Bo Guo
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Erli Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Haitong Zhang
- Department of Cardiology, the Third-Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zhen Meng
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Shuai Guo
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yang Chen
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jia Peng
- Department of Cardiology, the First-Affiliated Hospital, Xiangya Hospital Central South University, Changsha, China
| | - Jinyue Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Can Wang
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yingbo Huang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
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Zhuo B, Zhang Q, Xie T, Wang Y, Chen Z, Zuo D, Guo B. Integrative epigenetic analysis reveals AP-1 promotes activation of tumor-infiltrating regulatory T cells in HCC. Cell Mol Life Sci 2023; 80:103. [PMID: 36941472 DOI: 10.1007/s00018-023-04746-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/06/2023] [Accepted: 03/02/2023] [Indexed: 03/23/2023]
Abstract
Regulatory T (Treg) cells that infiltrate human tumors exhibit stronger immunosuppressive activity compared to peripheral blood Treg cells (PBTRs), thus hindering the induction of effective antitumor immunity. Previous transcriptome studies have identified a set of genes that are conserved in tumor-infiltrating Treg cells (TITRs). However, epigenetic profiles of TITRs have not yet been completely deciphered. Here, we employed ATAC-seq and CUT&Tag assays to integrate transcriptome profiles and identify functional regulatory elements in TITRs. We observed a global difference in chromatin accessibility and enhancer landscapes between TITRs and PBTRs. We identified two types of active enhancer formation in TITRs. The H3K4me1-predetermined enhancers are poised to be activated in response to tumor microenvironmental stimuli. We found that AP-1 family motifs are enriched at the enhancer regions of TITRs. Finally, we validated that c-Jun binds at regulatory regions to regulate signature genes of TITRs and AP-1 is required for Treg cells activation in vitro. High c-Jun expression is correlated with poor survival in human HCC. Overall, our results provide insights into the mechanism of AP-1-mediated activation of TITRs and can hopefully be used to develop new therapeutic strategies targeting TITRs in liver cancer treatment.
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Affiliation(s)
- Baowen Zhuo
- Department of Immunology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Medical Research Institute, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, 518102, Guangdong, China
| | - Qifan Zhang
- Department of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Tingyan Xie
- Medical Research Institute, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, 518102, Guangdong, China
| | - Yidan Wang
- Department of Laboratory Medicine, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, 518102, Guangdong, China
| | - Zhengliang Chen
- Department of Immunology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Guangdong, China.
| | - Daming Zuo
- Department of Medical Laboratory, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, Guangdong, China.
| | - Bo Guo
- Medical Research Institute, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, 518102, Guangdong, China.
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Wang LH, Su J, Shen YP, He JJ, Lugaro M, Szányi B, Karakas AI, Zhang LY, Li XY, Guo B, Lian G, Li ZH, Wang YB, Chen LH, Cui BQ, Tang XD, Gao BS, Wu Q, Sun LT, Wang S, Sheng YD, Chen YJ, Zhang H, Li ZM, Song LY, Jiang XZ, Nan W, Nan WK, Zhang L, Cao FQ, Jiao TY, Ru LH, Cheng JP, Wiescher M, Liu WP. Measurement of the ^{18}O(α, γ)^{22}Ne Reaction Rate at JUNA and Its Impact on Probing the Origin of SiC Grains. Phys Rev Lett 2023; 130:092701. [PMID: 36930937 DOI: 10.1103/physrevlett.130.092701] [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: 06/27/2022] [Revised: 09/22/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
The ^{18}O(α,γ)^{22}Ne reaction is critical for AGB star nucleosynthesis due to its connection to the abundances of several key isotopes, such as ^{21}Ne and ^{22}Ne. However, the ambiguous resonance energy and spin-parity of the dominant 470 keV resonance leads to substantial uncertainty in the ^{18}O(α,γ)^{22}Ne reaction rate for the temperature of interest. We have measured the resonance energies and strengths of the low-energy resonances in ^{18}O(α,γ)^{22}Ne at the Jinping Underground Nuclear Astrophysics experimental facility (JUNA) with improved precision. The key 470 keV resonance energy has been measured to be E_{α}=474.0±1.1 keV, with such high precision achieved for the first time. The spin-parity of this resonance state is determined to be 1^{-}, removing discrepancies in the resonance strengths in earlier studies. The results significantly improve the precision of the ^{18}O(α,γ)^{22}Ne reaction rates by up to about 10 times compared with the previous data at typical AGB temperatures of 0.1-0.3 GK. We demonstrate that such improvement leads to precise ^{21}Ne abundance predictions, with an impact on probing the origin of meteoritic stardust SiC grains from AGB stars.
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Affiliation(s)
- L H Wang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - J Su
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Y P Shen
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - J J He
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - M Lugaro
- Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (CSFK), Eötvös Loránd Research Network (ELKH), Konkoly Thege Miklós út 15-17, 1121 Budapest, Hungary
- CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17, H-1121, Hungary
- ELTE Eötvös Loránd University, Institute of Physics, Budapest 1117, Pázmány Péter sétány 1/A, Hungary
- School of Physics and Astronomy, Monash University, Victoria 3800, Australia
| | - B Szányi
- Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (CSFK), Eötvös Loránd Research Network (ELKH), Konkoly Thege Miklós út 15-17, 1121 Budapest, Hungary
- CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17, H-1121, Hungary
- Graduate School of Physics, University of Szeged, Dom tér 9, Szeged, 6720 Hungary
| | - A I Karakas
- School of Physics and Astronomy, Monash University, Victoria 3800, Australia
- ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), Australia
| | - L Y Zhang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - X Y Li
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - B Guo
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - G Lian
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - Z H Li
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - Y B Wang
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - L H Chen
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - B Q Cui
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - X D Tang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - B S Gao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L T Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - S Wang
- Shandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, Institute of Space Sciences, Shandong University, Weihai 264209, China
| | - Y D Sheng
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Y J Chen
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - H Zhang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Z M Li
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - L Y Song
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - X Z Jiang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - W Nan
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - W K Nan
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - L Zhang
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - F Q Cao
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - T Y Jiao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L H Ru
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J P Cheng
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - M Wiescher
- Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556-5670, USA
- Wolfson Fellow of Royal Society, School of Physics and Astronomy, University of Edinburgh, King's Buildings, Edinburgh EH9 3FD, United Kingdom
| | - W P Liu
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
- College of Science, Southern University of Science and Technology, Shenzhen 518055, China
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Guo B, Zhang S, Xu X, Gao B, Li Q, Yue Q. An enhanced coagulation using ferric chloride and poly-ferric chloride coagulant assisted by polyamidine: Performance and mechanisms. CHINESE CHEM LETT 2023. [DOI: 10.1016/j.cclet.2023.108379] [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: 04/09/2023]
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Acero MA, Adamson P, Aliaga L, Anfimov N, Antoshkin A, Arrieta-Diaz E, Asquith L, Aurisano A, Back A, Baird M, Balashov N, Baldi P, Bambah BA, Bashar S, Bays K, Bernstein R, Bhatnagar V, Bhattarai D, Bhuyan B, Bian J, Booth AC, Bowles R, Brahma B, Bromberg C, Buchanan N, Butkevich A, Calvez S, Carroll TJ, Catano-Mur E, Childress S, Chatla A, Chirco R, Choudhary BC, Christensen A, Coan TE, Colo M, Cremonesi L, Davies GS, Derwent PF, Ding P, Djurcic Z, Dolce M, Doyle D, Dueñas Tonguino D, Dukes EC, Ehrlich R, Elkins M, Ewart E, Feldman GJ, Filip P, Franc J, Frank MJ, Gallagher HR, Gandrajula R, Gao F, Giri A, Gomes RA, Goodman MC, Grichine V, Groh M, Group R, Guo B, Habig A, Hakl F, Hall A, Hartnell J, Hatcher R, Hausner H, He M, Heller K, Hewes V, Himmel A, Jargowsky B, Jarosz J, Jediny F, Johnson C, Judah M, Kakorin I, Kaplan DM, Kalitkina A, Keloth R, Klimov O, Koerner LW, Kolupaeva L, Kotelnikov S, Kralik R, Kullenberg C, Kubu M, Kumar A, Kuruppu CD, Kus V, Lackey T, Lang K, Lasorak P, Lesmeister J, Lin S, Lister A, Liu J, Lokajicek M, Lopez JMC, Mahji R, Magill S, Manrique Plata M, Mann WA, Manoharan MT, Marshak ML, Martinez-Casales M, Matveev V, Mayes B, Messier MD, Meyer H, Miao T, Mikola V, Miller WH, Mishra S, Mishra SR, Mislivec A, Mohanta R, Moren A, Morozova A, Mu W, Mualem L, Muether M, Mulder K, Naples D, Nath A, Nayak N, Nelleri S, Nelson JK, Nichol R, Niner E, Norman A, Norrick A, Nosek T, Oh H, Olshevskiy A, Olson T, Ott J, Pal A, Paley J, Panda L, Patterson RB, Pawloski G, Petrova O, Petti R, Phan DD, Plunkett RK, Pobedimov A, Porter JCC, Rafique A, Prais LR, Raj V, Rajaoalisoa M, Ramson B, Rebel B, Rojas P, Roy P, Ryabov V, Samoylov O, Sanchez MC, Sánchez Falero S, Shanahan P, Shukla S, Sheshukov A, Singh I, Singh P, Singh V, Smith E, Smolik J, Snopok P, Solomey N, Sousa A, Soustruznik K, Strait M, Suter L, Sutton A, Swain S, Sweeney C, Sztuc A, Talaga RL, Tapia Oregui B, Tas P, Temizel BN, Thakore T, Thayyullathil RB, Thomas J, Tiras E, Tripathi J, Trokan-Tenorio J, Torun Y, Urheim J, Vahle P, Vallari Z, Vasel J, Vrba T, Wallbank M, Warburton TK, Wetstein M, Whittington D, Wickremasinghe DA, Wieber T, Wolcott J, Wu W, Xiao Y, Yaeggy B, Yallappa Dombara A, Yankelevich A, Yonehara K, Yu S, Yu Y, Zadorozhnyy S, Zalesak J, Zhang Y, Zwaska R. Measurement of the ν_{e}-Nucleus Charged-Current Double-Differential Cross Section at ⟨E_{ν}⟩=2.4 GeV Using NOvA. Phys Rev Lett 2023; 130:051802. [PMID: 36800478 DOI: 10.1103/physrevlett.130.051802] [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] [Received: 07/06/2022] [Revised: 09/13/2022] [Accepted: 11/08/2022] [Indexed: 06/18/2023]
Abstract
The inclusive electron neutrino charged-current cross section is measured in the NOvA near detector using 8.02×10^{20} protons-on-target in the NuMI beam. The sample of GeV electron neutrino interactions is the largest analyzed to date and is limited by ≃17% systematic rather than the ≃7.4% statistical uncertainties. The double-differential cross section in final-state electron energy and angle is presented for the first time, together with the single-differential dependence on Q^{2} (squared four-momentum transfer) and energy, in the range 1 GeV≤E_{ν}<6 GeV. Detailed comparisons are made to the predictions of the GENIE, GiBUU, NEUT, and NuWro neutrino event generators. The data do not strongly favor a model over the others consistently across all three cross sections measured, though some models have especially good or poor agreement in the single differential cross section vs Q^{2}.
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Affiliation(s)
- M A Acero
- Universidad del Atlantico, Carrera 30 No. 8-49, Puerto Colombia, Atlantico, Colombia
| | - P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Aliaga
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Anfimov
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - A Antoshkin
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - E Arrieta-Diaz
- Universidad del Magdalena, Carrera 32 No 22-08 Santa Marta, Colombia
| | - L Asquith
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A Back
- Indiana University, Bloomington, Indiana 47405, USA
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - M Baird
- Indiana University, Bloomington, Indiana 47405, USA
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Balashov
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - P Baldi
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - B A Bambah
- School of Physics, University of Hyderabad, Hyderabad 500 046, India
| | - S Bashar
- Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
| | - K Bays
- California Institute of Technology, Pasadena, California 91125, USA
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - R Bernstein
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Bhatnagar
- Department of Physics, Panjab University, Chandigarh 160 014, India
| | - D Bhattarai
- University of Mississippi, University, Mississippi 38677, USA
| | - B Bhuyan
- Department of Physics, IIT Guwahati, Guwahati 781 039, India
| | - J Bian
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - A C Booth
- Particle Physics Research Centre, Department of Physics and Astronomy, Queen Mary University of London, London E1 4NS, United Kingdom
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Bowles
- Indiana University, Bloomington, Indiana 47405, USA
| | - B Brahma
- Department of Physics, IIT Hyderabad, Hyderabad 502 205, India
| | - C Bromberg
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - N Buchanan
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - A Butkevich
- Institute for Nuclear Research of Russia, Academy of Sciences 7a, 60th October Anniversary prospect, Moscow 117312, Russia
| | - S Calvez
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Catano-Mur
- Department of Physics, William & Mary, Williamsburg, Virginia 23187, USA
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Chatla
- School of Physics, University of Hyderabad, Hyderabad 500 046, India
| | - R Chirco
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - B C Choudhary
- Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India
| | - A Christensen
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - T E Coan
- Department of Physics, Southern Methodist University, Dallas, Texas 75275, USA
| | - M Colo
- Department of Physics, William & Mary, Williamsburg, Virginia 23187, USA
| | - L Cremonesi
- Particle Physics Research Centre, Department of Physics and Astronomy, Queen Mary University of London, London E1 4NS, United Kingdom
| | - G S Davies
- Indiana University, Bloomington, Indiana 47405, USA
- University of Mississippi, University, Mississippi 38677, USA
| | - P F Derwent
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Ding
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Z Djurcic
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - M Dolce
- Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
| | - D Doyle
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - D Dueñas Tonguino
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - E C Dukes
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - R Ehrlich
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Elkins
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - E Ewart
- Indiana University, Bloomington, Indiana 47405, USA
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Filip
- Institute of Physics, The Czech Academy of Sciences, 182 21 Prague, Czech Republic
| | - J Franc
- Czech Technical University in Prague, Brehova 7, 115 19 Prague 1, Czech Republic
| | - M J Frank
- Department of Physics, University of South Alabama, Mobile, Alabama 36688, USA
| | - H R Gallagher
- Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
| | - R Gandrajula
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - F Gao
- Department of Physics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Giri
- Department of Physics, IIT Hyderabad, Hyderabad 502 205, India
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, Goiânia, Goiás 74690-900, Brazil
| | - M C Goodman
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - V Grichine
- Nuclear Physics and Astrophysics Division, Lebedev Physical Institute, Leninsky Prospect 53, 119991 Moscow, Russia
| | - M Groh
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
- Indiana University, Bloomington, Indiana 47405, USA
| | - R Group
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Guo
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A Habig
- Department of Physics and Astronomy, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - F Hakl
- Institute of Computer Science, The Czech Academy of Sciences, 182 07 Prague, Czech Republic
| | - A Hall
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Hausner
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M He
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - K Heller
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - V Hewes
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A Himmel
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - B Jargowsky
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - J Jarosz
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - F Jediny
- Czech Technical University in Prague, Brehova 7, 115 19 Prague 1, Czech Republic
| | - C Johnson
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - M Judah
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
- Department of Physics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - I Kakorin
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - D M Kaplan
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - A Kalitkina
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - R Keloth
- Department of Physics, Cochin University of Science and Technology, Kochi 682 022, India
| | - O Klimov
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - L Kolupaeva
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - S Kotelnikov
- Nuclear Physics and Astrophysics Division, Lebedev Physical Institute, Leninsky Prospect 53, 119991 Moscow, Russia
| | - R Kralik
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - Ch Kullenberg
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - M Kubu
- Czech Technical University in Prague, Brehova 7, 115 19 Prague 1, Czech Republic
| | - A Kumar
- Department of Physics, Panjab University, Chandigarh 160 014, India
| | - C D Kuruppu
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - V Kus
- Czech Technical University in Prague, Brehova 7, 115 19 Prague 1, Czech Republic
| | - T Lackey
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
- Indiana University, Bloomington, Indiana 47405, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - P Lasorak
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - J Lesmeister
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - S Lin
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - A Lister
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Liu
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - M Lokajicek
- Institute of Physics, The Czech Academy of Sciences, 182 21 Prague, Czech Republic
| | - J M C Lopez
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - R Mahji
- School of Physics, University of Hyderabad, Hyderabad 500 046, India
| | - S Magill
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | | | - W A Mann
- Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
| | - M T Manoharan
- Department of Physics, Cochin University of Science and Technology, Kochi 682 022, India
| | - M L Marshak
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - M Martinez-Casales
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - V Matveev
- Institute for Nuclear Research of Russia, Academy of Sciences 7a, 60th October Anniversary prospect, Moscow 117312, Russia
| | - B Mayes
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - M D Messier
- Indiana University, Bloomington, Indiana 47405, USA
| | - H Meyer
- Department of Mathematics, Statistics, and Physics, Wichita State University, Wichita, Kansas 67206, USA
| | - T Miao
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Mikola
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - W H Miller
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - S Mishra
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi 221 005, India
| | - S R Mishra
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A Mislivec
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - R Mohanta
- School of Physics, University of Hyderabad, Hyderabad 500 046, India
| | - A Moren
- Department of Physics and Astronomy, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - A Morozova
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - W Mu
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Mualem
- California Institute of Technology, Pasadena, California 91125, USA
| | - M Muether
- Department of Mathematics, Statistics, and Physics, Wichita State University, Wichita, Kansas 67206, USA
| | - K Mulder
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - D Naples
- Department of Physics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Nath
- Department of Physics, IIT Guwahati, Guwahati 781 039, India
| | - N Nayak
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - S Nelleri
- Department of Physics, Cochin University of Science and Technology, Kochi 682 022, India
| | - J K Nelson
- Department of Physics, William & Mary, Williamsburg, Virginia 23187, USA
| | - R Nichol
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - E Niner
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Norman
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Norrick
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - T Nosek
- Charles University, Faculty of Mathematics and Physics, Institute of Particle and Nuclear Physics, Prague, Czech Republic
| | - H Oh
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - T Olson
- Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
| | - J Ott
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - A Pal
- National Institute of Science Education and Research, Khurda 752050, Odisha, India
| | - J Paley
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Panda
- National Institute of Science Education and Research, Khurda 752050, Odisha, India
| | - R B Patterson
- California Institute of Technology, Pasadena, California 91125, USA
| | - G Pawloski
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - O Petrova
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - R Petti
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Pobedimov
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - J C C Porter
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - A Rafique
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - L R Prais
- University of Mississippi, University, Mississippi 38677, USA
| | - V Raj
- California Institute of Technology, Pasadena, California 91125, USA
| | - M Rajaoalisoa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - B Ramson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - B Rebel
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - P Rojas
- Department of Physics, Colorado State University, Fort Collins, Colorado 80523-1875, USA
| | - P Roy
- Department of Mathematics, Statistics, and Physics, Wichita State University, Wichita, Kansas 67206, USA
| | - V Ryabov
- Nuclear Physics and Astrophysics Division, Lebedev Physical Institute, Leninsky Prospect 53, 119991 Moscow, Russia
| | - O Samoylov
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - S Sánchez Falero
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - P Shanahan
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Shukla
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi 221 005, India
| | - A Sheshukov
- Joint Institute for Nuclear Research, Dubna, Moscow region 141980, Russia
| | - I Singh
- Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India
| | - P Singh
- Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India
- Particle Physics Research Centre, Department of Physics and Astronomy, Queen Mary University of London, London E1 4NS, United Kingdom
| | - V Singh
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi 221 005, India
| | - E Smith
- Indiana University, Bloomington, Indiana 47405, USA
| | - J Smolik
- Czech Technical University in Prague, Brehova 7, 115 19 Prague 1, Czech Republic
| | - P Snopok
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - N Solomey
- Department of Mathematics, Statistics, and Physics, Wichita State University, Wichita, Kansas 67206, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - K Soustruznik
- Charles University, Faculty of Mathematics and Physics, Institute of Particle and Nuclear Physics, Prague, Czech Republic
| | - M Strait
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - L Suter
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sutton
- Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Swain
- National Institute of Science Education and Research, Khurda 752050, Odisha, India
| | - C Sweeney
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - A Sztuc
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - R L Talaga
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - B Tapia Oregui
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - P Tas
- Charles University, Faculty of Mathematics and Physics, Institute of Particle and Nuclear Physics, Prague, Czech Republic
| | - B N Temizel
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - T Thakore
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - R B Thayyullathil
- Department of Physics, Cochin University of Science and Technology, Kochi 682 022, India
| | - J Thomas
- Physics and Astronomy Department, University College London, Gower Street, London WC1E 6BT, United Kingdom
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Tiras
- Department of Physics, Erciyes University, Kayseri 38030, Turkey
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - J Tripathi
- Department of Physics, Panjab University, Chandigarh 160 014, India
| | - J Trokan-Tenorio
- Department of Physics, William & Mary, Williamsburg, Virginia 23187, USA
| | - Y Torun
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - J Urheim
- Indiana University, Bloomington, Indiana 47405, USA
| | - P Vahle
- Department of Physics, William & Mary, Williamsburg, Virginia 23187, USA
| | - Z Vallari
- California Institute of Technology, Pasadena, California 91125, USA
| | - J Vasel
- Indiana University, Bloomington, Indiana 47405, USA
| | - T Vrba
- Czech Technical University in Prague, Brehova 7, 115 19 Prague 1, Czech Republic
| | - M Wallbank
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - T K Warburton
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - M Wetstein
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
| | - D Whittington
- Indiana University, Bloomington, Indiana 47405, USA
- Department of Physics, Syracuse University, Syracuse New York 13210, USA
| | | | - T Wieber
- School of Physics and Astronomy, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - J Wolcott
- Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
| | - W Wu
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - Y Xiao
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - B Yaeggy
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A Yallappa Dombara
- Department of Physics, Syracuse University, Syracuse New York 13210, USA
| | - A Yankelevich
- Department of Physics and Astronomy, University of California at Irvine, Irvine, California 92697, USA
| | - K Yonehara
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Yu
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - Y Yu
- Illinois Institute of Technology, Chicago Illinois 60616, USA
| | - S Zadorozhnyy
- Institute for Nuclear Research of Russia, Academy of Sciences 7a, 60th October Anniversary prospect, Moscow 117312, Russia
| | - J Zalesak
- Institute of Physics, The Czech Academy of Sciences, 182 21 Prague, Czech Republic
| | - Y Zhang
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Zwaska
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
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Guo J, Yang J, Wang P, Guo B, Li H, Zhang D, An F, Gao S. Anti-vibriosis bioactive molecules from Arctic Penicillium sp. Z2230. BIORESOUR BIOPROCESS 2023. [DOI: 10.1186/s40643-023-00628-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
AbstractVibrio species (Vibrio sp.) is a class of Gram-negative aquatic bacteria that causes vibriosis in aquaculture, which have resulted in big economic losses. Utilization of antibiotics against vibriosis has brought concerns on antibiotic resistance, and it is essential to explore potential antibiotic alternatives. In this study, seven compounds (compounds 1–7) were isolated from the Arctic endophytic fungus Penicillium sp. Z2230, among which compounds 3, 4, and 5 showed anti-Vibrio activity. The structures of the seven compounds were comprehensively elucidated, and the antibacterial mechanism of compounds 3, 4, and 5 was explored by molecular docking. The results suggested that the anti-Vibrio activity could come from inhibition of the bacterial peptide deformylase (PDF). This study discovered three Penicillium-derived compounds to be potential lead molecules for developing novel anti-Vibrio agents, and identified PDF as a promising antibacterial target. It also expanded the bioactive diversity of polar endophytic fungi by showing an example in which the secondary metabolites of a polar microbe were a good source of natural medicine.
Graphical Abstract
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Guo B, Dai Z, Chen R, Liu J, Shi Z. Enhancing gosling growth and secretion of somatotrophic and thyrotrophic axis hormones through egg turning during incubation. Br Poult Sci 2023; 64:122-128. [PMID: 36083128 DOI: 10.1080/00071668.2022.2121641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
1. Growth performance of Yangzhou geese hatched from eggs with turning angles of 50° or 70° was evaluated in association with serum hormones and somatotrophic gene mRNA expression.2. Egg turning at 70° significantly (P< 0.05) increased hatchability, gosling quality and hatching weight. Gosling post-hatch body weight, leg and breast muscle weight in the 70° turning group was significantly heavier until 50 d of age.3. Serum concentrations of GH were significantly higher until 30 d of age in the 70° turning group goslings, and those of IGF-I and T3 were higher from hatching to 50 d of age.4. The mRNA expression of GHRH, pituitary GH, liver and leg muscle IGF-I were all significantly higher at 1 and 30 d of age after hatch, but not at 70 d after hatch, in the 70° turning group.5. Egg turning at 70° during incubation improves embryo and gosling quality and growth performance through up-regulation of gene expression and secretion of somatotrophic axis hormones, GHRH, GH and IGF-I, as well as T3.
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Affiliation(s)
- B Guo
- Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
- Laboratory of Animal Improvement and Reproduction, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Z Dai
- Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
- Laboratory of Animal Improvement and Reproduction, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - R Chen
- Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
- Laboratory of Animal Improvement and Reproduction, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - J Liu
- Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
- Laboratory of Animal Improvement and Reproduction, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Z Shi
- Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
- Laboratory of Animal Improvement and Reproduction, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
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Yang L, Guo B, Wang Y, Zhao C, Zhang X, Wang Y, Tang Y, Shen H, Wang P, Gao S. Pyrococcus furiosus Argonaute Combined with Recombinase Polymerase Amplification for Rapid and Sensitive Detection of Enterocytozoon hepatopenaei. J Agric Food Chem 2023; 71:944-951. [PMID: 36548210 DOI: 10.1021/acs.jafc.2c06582] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [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: 06/17/2023]
Abstract
Enterocytozoon hepatopenaei (EHP) is one of the most serious pathogens in shrimp farming. This study combines recombinase polymerase amplification (RPA) with the Argonaute from Pyrococcus furiosus (PfAgo) and establishes a sensitive and reliable method for on-site detection of EHP. With careful screening of gDNA and optimization of the reaction, the method shows a good specificity and reaches a sensitivity of single copy per reaction, which is higher than the sensitivity of the currently available molecular assays. The whole procedure can be finished within 1.5 h including the sample processing time and only requires minimum laboratory support, which is user-friendly for on-site environments. This is the first application of PfAgo for the diagnosis of infectious diseases in seafood supply chains. It provides a reliable method for on-site detection of EHP in shrimp farms and establishes a groundwork for multiplex detection of important pathogens in seafood farming using PfAgo.
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Affiliation(s)
- Lihong Yang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Bo Guo
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yu Wang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Chenjie Zhao
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xue Zhang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yue Wang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Yixin Tang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Hui Shen
- Jiangsu Institute of Oceanology and Marine Fisheries, Nantong 226007, China
| | - Pei Wang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Song Gao
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, School of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
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Peng D, Zhang F, Li Z, Lyu P, Guo Z, Chen Y, Zhao J, Niu J, Guo B, Jia W, Jiang X, Li X, Qi S, Qin B, Shao H. [Effect of continuous renal replacement therapy on plasma concentration, clinical efficacy and safety of colistin sulfate]. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue 2023; 35:88-92. [PMID: 36880245 DOI: 10.3760/cma.j.cn121430-20220906-00819] [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: 03/08/2023]
Abstract
OBJECTIVE To investigate the effects of continuous renal replacement therapy (CRRT) on plasma concentration, clinical efficacy and safety of colistin sulfate. METHODS Clinical data of patients received with colistin sulfate were retrospectively analyzed from our group's previous clinical registration study, which was a prospective, multicenter observation study on the efficacy and pharmacokinetic characteristics of colistin sulfate in patients with severe infection in intensive care unit (ICU). According to whether patients received blood purification treatment, they were divided into CRRT group and non-CRRT group. Baseline data (gender, age, whether complicated with diabetes, chronic nervous system disease, etc), general data (infection of pathogens and sites, steady-state trough concentration, steady-state peak concentration, clinical efficacy, 28-day all-cause mortality, etc) and adverse event (renal injury, nervous system, skin pigmentation, etc) were collected from the two groups. RESULTS A total of 90 patients were enrolled, including 22 patients in the CRRT group and 68 patients in the non-CRRT group. (1) There was no significant difference in gender, age, basic diseases, liver function, infection of pathogens and sites, colistin sulfate dose between the two groups. Compared with the non-CRRT group, the acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) were higher in the CRRT group [APACHE II: 21.77±8.26 vs. 18.01±6.34, P < 0.05; SOFA: 8.5 (7.8, 11.0) vs. 6.0 (4.0, 9.0), P < 0.01], serum creatinine level was higher [μmol/L: 162.0 (119.5, 210.5) vs. 72.0 (52.0, 117.0), P < 0.01]. (2) Plasma concentration: there was no significant difference in steady-state trough concentration between CRRT group and non-CRRT group (mg/L: 0.58±0.30 vs. 0.64±0.25, P = 0.328), nor was there significant difference in steady-state peak concentration (mg/L: 1.02±0.37 vs. 1.18±0.45, P = 0.133). (3) Clinical efficacy: there was no significant difference in clinical response rate between CRRT group and non-CRRT group [68.2% (15/22) vs. 80.9% (55/68), P = 0.213]. (4) Safety: acute kidney injury occurred in 2 patients (2.9%) in the non-CRRT group. No obvious neurological symptoms and skin pigmentation were found in the two groups. CONCLUSIONS CRRT had little effect on the elimination of colistin sulfate. Routine blood concentration monitoring (TDM) is warranted in patients received with CRRT.
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Affiliation(s)
- Danyang Peng
- Department of Critical Care Medicine, People's Hospital of Henan University, Zhengzhou 450003, Henan, China
| | - Fan Zhang
- Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Zhaozhen Li
- Department of Respiratory and Critical Care Medicine, Henan Chest Hospital, Zhengzhou 450003, Henan, China
| | - Pin Lyu
- Department of Pharmacy, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Ziqi Guo
- Department of Critical Care Medicine, People's Hospital of Henan University, Zhengzhou 450003, Henan, China
| | - Yinyin Chen
- Department of Critical Care Medicine, People's Hospital of Henan University, Zhengzhou 450003, Henan, China
| | - Jingge Zhao
- Department of Clinical Research Center, Henan Province People's Hospital, Zhengzhou 450003, Henan, China
| | - Jingjing Niu
- Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Bo Guo
- Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Wenqing Jia
- Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Xiaofeng Jiang
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Xiaozhao Li
- Department of Cardiac Surgecal Intensive Care Unit, Henan Chest Hospital, Zhengzhou 450003, Henan, China
| | - Shaoyan Qi
- Department of Critical Care Medicine, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan, China. Corresponding author: Shao Huanzhang,
| | - Bingyu Qin
- Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
| | - Huanzhang Shao
- Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China
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Guo B, Guo X, Zhou R, Ren Z, Chen Q, Xu R, Luo W. Multi-Pulse Bound Soliton Fiber Laser Based on MoTe 2 Saturable Absorber. Nanomaterials (Basel) 2022; 13:177. [PMID: 36616085 PMCID: PMC9824784 DOI: 10.3390/nano13010177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/23/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Bound solitons have become a hot topic in the field of nonlinear optics due to their potential applications in optical communication, information processing and radar systems. However, the trapping of the cascaded bound soliton is still a major challenge up to now. Here, we propose and experimentally demonstrate a multi-pulse bound soliton fiber laser based on MoTe2 saturable absorber. In the experiment, MoTe2 nanosheets were synthesized by chemical vapor deposition and transferred to the fiber taper by optical deposition. Then, by inserting the MoTe2 saturable absorber into a ring cavity laser, the two-pulse, three-pulse and four-pulse bound solitons can be stably generated by properly adjusting the pump strength and polarization state. These cascaded bound solitons are expected to be applied to all-optical communication and bring new ideas to the study of soliton lasers.
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Affiliation(s)
- Bo Guo
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
| | - Xinyu Guo
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
| | - Renlai Zhou
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
| | - Zhongyao Ren
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
| | - Qiumei Chen
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
| | - Ruochen Xu
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
| | - Wenbin Luo
- Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
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Zhang X, Geng T, Li N, Wu L, Wang Y, Zheng D, Guo B, Wang B. Associations of Lipids and Lipid-Lowering Drugs with Risk of Vascular Dementia: A Mendelian Randomization Study. Nutrients 2022; 15:nu15010069. [PMID: 36615727 PMCID: PMC9824558 DOI: 10.3390/nu15010069] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/14/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Accumulating observational studies suggested that hypercholesterolemia is associated with vascular dementia (VaD); however, the causality between them remains unclear. Hence, the aim of this study is to infer causal associations of circulating lipid-related traits [including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), apolipoprotein A-I (apoA-I), and apolipoprotein B (apoB)] with VaD jointly using univariable MR (uvMR), multivariable MR (mvMR) and bidirectional two-sample MR methods. Then, the summary-data-based MR (SMR) and two-sample MR analysis were conducted to investigate the association of lipid-lowering drugs target genes expression (including HMGCR, PCSK9, NPC1L1, and APOB) and LDL-C level mediated by these target genes with VaD. The results of forward MR analyses found that genetically predicted HDL-C, LDL-C, TG, apoA-I, and apoB concentrations were not significantly associated with the risk of VaD (all p > 0.05). Notably, there was suggestive evidence for a causal effect of genetically predicted VaD on HDL-C via reverse MR analysis [odds ratio (OR), 0.997; 95% confidence interval (CI), 0.994−0.999; p = 0.022]. On the contrary, the MR results showed no significant relationship between VaD with LDL-C, TG, apoA-I, and apoB. The results for the SMR method found that there was no evidence of association for expression of HMGCR, PCSK9, NPC1L1, and APOB gene with risk of VaD. Furthermore, the result of MR analysis provided evidence for the decreased LDL-C level mediated by gene HMGCR reduced the risk of VaD (OR, 18.381; 95% CI, 2.092−161.474; p = 0.009). Oppositely, none of the IVW methods indicated any causal effects for the other three genes. Using genetic data, this study provides evidence that the VaD risk may cause a reduction of HDL-C level. Additionally, the finding supports the hypothesis that lowering LDL-C levels using statins may be an effective prevention strategy for VaD risk, which requires clinical trials to confirm this result in the future.
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Affiliation(s)
- Xiaoyu Zhang
- Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China
| | - Tao Geng
- Geriatric Department, Emergency General Hospital, Beijing 100028, China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Lijuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Youxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Bo Guo
- Department of Hematology, The Second Medical Centre & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
- Correspondence: (B.G.); (B.W.); Tel.: +86-1066876227 (B.G.); +86-1062856765 (B.W.)
| | - Baoguo Wang
- Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China
- Correspondence: (B.G.); (B.W.); Tel.: +86-1066876227 (B.G.); +86-1062856765 (B.W.)
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Wang B, Liu D, Song M, Wang W, Guo B, Wang Y. Immunoglobulin G N-glycan, inflammation and type 2 diabetes in East Asian and European populations: a Mendelian randomization study. Mol Med 2022; 28:114. [PMID: 36104772 PMCID: PMC9476573 DOI: 10.1186/s10020-022-00543-z] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 09/07/2022] [Indexed: 12/08/2022] Open
Abstract
Background Immunoglobulin G (IgG) N-glycans have been shown to be associated with the risk of type 2 diabetes (T2D) and its risk factors. However, whether these associations reflect causal effects remain unclear. Furthermore, the associations of IgG N-glycans and inflammation are not fully understood. Methods We examined the causal associations of IgG N-glycans with inflammation (C-reactive protein (CRP) and fibrinogen) and T2D using two-sample Mendelian randomization (MR) analysis in East Asian and European populations. Genetic variants from IgG N-glycan quantitative trait loci (QTL) data were used as instrumental variables. Two-sample MR was conducted for IgG N-glycans with inflammation (75,391 and 18,348 participants of CRP and fibrinogen in the East Asian population, 204,402 participants of CRP in the European population) and T2D risk (77,418 cases and 356,122 controls of East Asian ancestry, 81,412 cases and 370,832 controls of European ancestry). Results After correcting for multiple testing, in the East Asian population, genetically determined IgG N-glycans were associated with a higher risk of T2D, the odds ratios (ORs) were 1.009 for T2D per 1- standard deviation (SD) higher GP5, 95% CI = 1.003–1.015; P = 0.0019; and 1.013 for T2D per 1-SD higher GP13, 95% CI = 1.006–1.021; P = 0.0005. In the European population, genetically determined decreased GP9 was associated with T2D (OR = 0.899 per 1-SD lower GP9, 95% CI: 0.845–0.957). In addition, there was suggestive evidence that genetically determined IgG N-glycans were associated with CRP in both East Asian and European populations after correcting for multiple testing, but no associations were found between IgG N-glycans and fibrinogen. There was limited evidence of heterogeneity and pleiotropy bias. Conclusions Our results provided novel genetic evidence that IgG N-glycans are causally associated with T2D. Supplementary Information The online version contains supplementary material available at 10.1186/s10020-022-00543-z.
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Li J, Guo B, Zhang W, Yue S, Huang S, Gao S, Ma J, Cipollo JF, Yang S. Recent advances in demystifying O-glycosylation in health and disease. Proteomics 2022; 22:e2200156. [PMID: 36088641 DOI: 10.1002/pmic.202200156] [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: 04/23/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 11/09/2022]
Abstract
O-Glycosylation is one of the most common protein post-translational modifications (PTM) and plays an essential role in the pathophysiology of diseases. However, the complexity of O-glycosylation and the lack of specific enzymes for the processing of O-glycans and their O-glycopeptides make O-glycosylation analysis challenging. Recently, research on O-glycosylation has received attention owing to technological innovation and emerging O-glycoproteases. Several serine/threonine endoproteases have been found to specifically cleave O-glycosylated serine or threonine, allowing for the systematic analysis of O-glycoproteins. In this review, we first assessed the field of protein O-glycosylation over the past decade and used bibliometric analysis to identify keywords and emerging trends. We then summarized recent advances in O-glycosylation, covering several aspects: O-glycan release, site-specific elucidation of intact O-glycopeptides, identification of O-glycosites, characterization of different O-glycoproteases, mass spectrometry (MS) fragmentation methods for site-specific O-glycosylation assignment, and O-glycosylation data analysis. Finally, the role of O-glycosylation in health and disease was discussed.
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Affiliation(s)
- Jiajia Li
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Bo Guo
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, School of Pharmacy, Jiangsu Ocean University, Lianyungang, China
| | - Wenqi Zhang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Shuang Yue
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Shan Huang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Song Gao
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, School of Pharmacy, Jiangsu Ocean University, Lianyungang, China
| | - Junfeng Ma
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - John F Cipollo
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
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Liang DF, Guo B, Zhou RH, Jiang R. [Analysis of clinical and psychological characteristics in 250 patients with fibromyalgia]. Zhonghua Nei Ke Za Zhi 2022; 61:1351-1356. [PMID: 36456516 DOI: 10.3760/cma.j.cn112138-20220110-00028] [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: 06/17/2023]
Abstract
To analyze the clinical and psychological characteristics of fibromyalgia (FM), so as to further understand and improve the capability of identifying FM. The clinical data of 250 FM patients diagnosed in the outpatient clinic of the Department of Rheumatology, the First Medical Center, Chinese PLA General Hospital, from December 2019 to September 2021, were collected and analyzed. The patients aged 40 (31.0, 52.3) years, including 188 female patients (75.2%) and 62 male patients (24.8%). There was a statistically significant difference in age comparison between female [42.5 (33.0,54.0) years] and male patients [32.5 (27.8,43.5) years] (P<0.001). The score of pain degree was 6 (4, 8), and [7 (5, 8)] of female patients was higher than [6 (4, 7)] of the male patients (P=0.040). The widespread pain index (WPI) was 13 (10,15). The regions with high pain incidence were left shoulder girdle (87.2%, 218/250), right shoulder girdle (86.8%, 217/250), upper back (86.4%, 216/250), neck (79.6%, 199/250) and lower back (77.6%, 194/250) and etc. The incidence of chest pain in female patients (55.3%, 104/188) was lower than that in male patients (75.8%, 47/62) (P=0.004). The symptom severity scale (SSS) score was 8 (7-10). 74.6% (185/248) suffered from anxiety and 77.5% (193/249) suffered from depression in 249 patients. Female patients were more common in FM patients than male patients, the median age of female patients was older than that of male patients, and the median score of pain severity of female patients was higher than male patients. Shoulders girdle, upper back, neck and lower back were the most frequently reported pain regions, and the incidence of chest pain in female patients was lower than that in male patients. The incidence of major non-painful symptoms was high and the proportion with anxiety or depression was high. The above clinical features are very helpful for early diagnosis of FM.
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Affiliation(s)
- D F Liang
- Department of Rheumatology and Immunology, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - B Guo
- Department of Psychology, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - R H Zhou
- Department of Rheumatology and Immunology, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Ronghuan Jiang
- Department of Psychology, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Zhao Y, Guo B, Wang Z, Li M, Xing S. [Design and Implementation of ECG Electrode Tester]. Zhongguo Yi Liao Qi Xie Za Zhi 2022; 46:638-642. [PMID: 36597391 DOI: 10.3969/j.issn.1671-7104.2022.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
As a technical method to detect cardiomotility of human body, ECG monitoring is widely used in various clinical departments of hospital, as an important guarantee for disease diagnosis, patients saving and treatment. Therefore, the testing and management of the performance of ECG monitoring equipment is of great importance. In view of researches from the perspective of disposable ECG electrode performance testing, the study puts forward a design scheme of disposable ECG electrode tester, and confirms the effectiveness of the design for ECG electrode performance testing through the test of disposable ECG electrode.
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Affiliation(s)
- Yunlong Zhao
- Tianjin Medical Devices Quality Supervision and Testing Center, Tianjin, 300384
| | - Bo Guo
- Tianjin Medical Devices Quality Supervision and Testing Center, Tianjin, 300384
| | - Zhanshuo Wang
- Tianjin Medical Devices Quality Supervision and Testing Center, Tianjin, 300384
| | - Manfei Li
- Tianjin Medical Devices Quality Supervision and Testing Center, Tianjin, 300384
| | - Shaobo Xing
- Tianjin Medical Devices Quality Supervision and Testing Center, Tianjin, 300384
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40
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Zheng RJ, Chen QL, Ma HM, Liu HD, Chen JP, Liang GS, Chen J, Zhang YY, Li S, Guo B, Wang ML, Du M. [Human chorionic gonadotropin-secreting gonadoblastomas in a girl of 45, X Turner syndrome: a case report and literature review]. Zhonghua Er Ke Za Zhi 2022; 60:1202-1206. [PMID: 36319158 DOI: 10.3760/cma.j.cn112140-20220429-00393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To summarize the experience in diagnosis and treatment of 45, X Turner syndrome (TS) with gonadal Y chromosome mosaicism and bilateral gonadoblastoma (Gb) secreting human chorionic gonadotrophin(HCG). Methods: A female patient aged 5 years and 3 months was admitted to the hospital with a complaint of "enlarged breasts for 27 months, and elevated blood β-HCG for 8 months". The clinical data were summarized, and related literature up to March 2022 with the key words"Turner syndrome" "Gonadoblastoma" "Y chromosome" "human chorionic gonadotropin" "precocious" in PubMed, CNKI and Wanfang databases were reviewed. Results: The girl went to the local hospital for 2-month breast development at age of 3 years, and was found with a heart murmur diagnosed with "pulmonary venous malformation and atrial septal defect (secondary foramen type)". Surgical correction was performed. She experienced the progressive breast development, rapid linear growth and markedly advanced skeletal age, which cannot be explained by partial activation in the hypothalamic-pituitary-gonadal axis determined at the age of 3 years and 7 months in local hospital. Then whole-exome sequencing revealed chromosome number abnormality 45, X, which was confirmed by Karyotyping. At the age of 4 years and 6 months, serum β-HCG was found to be elevated (24.9 U/L) with no lesion found at the local hospital. On physical examination, she was found with breast development, pubic hair development and clitoromegaly with elevated serum testosterone (1.96 μg/L) and β-HCG (32.3 U/L). Sex determining region Y(SRY) gene was negative in peripheral blood sample. Thoracic and abdominal CT, head and pelvic magnetic resonance imaging were normal. Exploratory laparotomy confirmed the presence of a left adnexal tumor and a right fibrous streak gonad. During surgery, simultaneous samples of bilateral gonadal and peripheral venous blood were obtained and serum β-HCG, estradiol and testosteron concentrations was higher to lower from left gonadal venous blood, right gonadal venous blood, to peripheral venous blood. Bilateral gonadectomy was performed. Histopathology revealed bilateral gonadoblastomas. SRY was positive in bilateral gonadal tissues. After surgery, serum E2, testerone and β-HCG returned to normal. So far 4 cases of HCG-secreting gonadoblastoma had been reported worldwide. The phenotypes of the 4 cases were all female, with virilization or amenorrhea, and the preoperative peripheral blood β-HCG concentrations were 74.4, 5.0, 40 456.0, and 42.4 U/L, respectively. Conclusions: There is a high risk of Gb in TS with Y chromosome components. Gb is infrequently presented with breast development, and Gb associated with HCG secretion is rare. Karyotyping should be performed in a phenotypic female with masculinization, and virilization in TS indicates the presence of Y chromosome material with concurrent androgen secreting tumors.
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Affiliation(s)
- R J Zheng
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Q L Chen
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - H M Ma
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - H D Liu
- Department of Pediatric Surgery,the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - J P Chen
- Department of Pediatric Surgery,the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - G S Liang
- Department of Medical Laboratory, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - J Chen
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Y Y Zhang
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - S Li
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - B Guo
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - M L Wang
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Minlian Du
- Department of Pediatrics, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
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Kilic S, Neyman G, Guo B, Magnelli A, Kolar M, Cho Y, Qi P, Woodson E, Kshettry V, Recinos P, Stevens G, Barnett G, Angelov L, Mohammadi A, Woody N, Chan T, Yu J, Murphy E, Suh J, Chao S. Frameless Fractionated Stereotactic Radiosurgery for Meningioma and Schwannoma: An Institutional Series of 126 Cases. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.771] [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: 11/29/2022]
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An N, Jiang Y, Wang Z, Sun Q, Guo B, Gao B, Zhou W, Li Q. Efficient water purification and desalination using hydrogel and aerogel solar evaporators based on different carbon materials. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.122003] [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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Wang W, Li W, Cao L, Wang B, Liu C, Qin Y, Guo B, Huang C. Serum extracellular vesicle MicroRNAs as candidate biomarkers for acute rejection in patients subjected to liver transplant. Front Genet 2022; 13:1015049. [PMID: 36313425 PMCID: PMC9606588 DOI: 10.3389/fgene.2022.1015049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 09/28/2022] [Indexed: 11/19/2022] Open
Abstract
Acute rejection (AR) is a common and grave complication of liver transplantation (LT). The diagnosis of AR is challenging because it has nonspecific clinical features and requires invasive procedures. Since extracellular vesicles (EVs) are promising candidates as indicators for diagnosis of various diseases, this study aimed to identify serum EV microRNAs (miRNAs) as potential biomarkers for AR in patients subjected to LT. We collected clinical information and serum samples from the liver transplant recipients with and without AR (non-AR). EVs from the serum were isolated via ultracentrifugation and identified using transmission electron microscopy, nanoparticle tracking analysis, and western blotting. EV RNA was extracted and sequenced on an Illumina HiSeq 2500/2000 platform to identify differentially expressed miRNAs between the groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the target gene candidates of the differentially expressed miRNAs to test their functions in biological systems. Then, we validated 12 differentially expressed miRNAs by quantitative real-time PCR. The results demonstrated that 614 EV miRNAs were significantly altered (387 up regulated and 227 down regulated) between non-AR and AR patients. GO enrichment analysis revealed that these target genes were related to cellular processes, single-organism processes, biological regulation, metabolic processes, cells, cell parts, protein-binding processes, nucleoid binding, and catalytic activity. Furthermore, KEGG pathway analysis demonstrated that the target genes of the differentially expressed miRNAs were primarily involved in ubiquitin-mediated proteolysis, lysosomes, and protein processing in the endoplasmic reticulum. miR-223 and let-7e-5p in AR patients were significantly up-regulated compared to those in non-AR patients, whereas miR-199a-3p was significantly down-regulated, which was consistent with sequencing results. The expression of serum EV miRNAs (up-regulated: miR-223 and let-7e-5p and miR-486-3p; down regulated: miR-199a-3p, miR-148a-3p and miR-152-3p) in AR patients was significantly different from that in non-AR patients, and these miRNAs can serve as promising diagnostic biomarkers for AR in patients subjected to liver transplant.
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Affiliation(s)
- Wenjing Wang
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wen Li
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Institute of Genetics and Developmental Biology, Translational Medicine Institute, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Li Cao
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Institute of Genetics and Developmental Biology, Translational Medicine Institute, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Bo Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Chang Liu
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yannan Qin
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Institute of Genetics and Developmental Biology, Translational Medicine Institute, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Bo Guo
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Institute of Genetics and Developmental Biology, Translational Medicine Institute, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- *Correspondence: Bo Guo, ; Chen Huang,
| | - Chen Huang
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Institute of Genetics and Developmental Biology, Translational Medicine Institute, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an, China
- *Correspondence: Bo Guo, ; Chen Huang,
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Hou C, Xiao L, Ren X, Cheng L, Guo B, Zhang M, Yan N. EZH2-mediated H3K27me3 is a predictive biomarker and therapeutic target in uveal melanoma. Front Genet 2022; 13:1013475. [PMID: 36276954 PMCID: PMC9582331 DOI: 10.3389/fgene.2022.1013475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
Although gene mutations and aberrant chromosomes are associated with the pathogenesis and prognosis of uveal melanoma (UM), potential therapeutic targets still need to be explored. We aim to determine the predictive value and potential therapeutic target of EZH2 in uveal melanoma. Eighty-five uveal melanoma samples were recruited in our study, including 19 metastatic and 66 nonmetastatic samples. qRT-PCR, immunohistochemistry staining, and western blotting were applied to detect the expression of EZH2 and H3K27me3. We found that EZH2 (41/85, 48.24%) and H3K27me3 (49/85, 57.65%) were overexpressed in uveal melanoma. The expression of EZH2 was not significantly associated with metastasis. High H3K27me3 expression was correlated with poor patient prognosis. UNC 1999, an EZH2 inhibitor, can downregulate H3K27me3 expression and has the most potency to inhibit OMM1 cell growth by the cell cycle and ferroptosis pathway. These results indicate that H3K27me3 can be a biomarker predicting a poor prognosis of UM. EZH2 is the potential therapeutic target for UM.
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Affiliation(s)
- Chen Hou
- Research Laboratory of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
| | - Lirong Xiao
- Research Laboratory of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiang Ren
- Research Laboratory of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
| | - Lin Cheng
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, United States
| | - Bo Guo
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
| | - Meixia Zhang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
| | - Naihong Yan
- Research Laboratory of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Naihong Yan,
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Gao B, Jiao TY, Li YT, Chen H, Lin WP, An Z, Ru LH, Zhang ZC, Tang XD, Wang XY, Zhang NT, Fang X, Xie DH, Fan YH, Ma L, Zhang X, Bai F, Wang P, Fan YX, Liu G, Huang HX, Wu Q, Zhu YB, Chai JL, Li JQ, Sun LT, Wang S, Cai JW, Li YZ, Su J, Zhang H, Li ZH, Li YJ, Li ET, Chen C, Shen YP, Lian G, Guo B, Li XY, Zhang LY, He JJ, Sheng YD, Chen YJ, Wang LH, Zhang L, Cao FQ, Nan W, Nan WK, Li GX, Song N, Cui BQ, Chen LH, Ma RG, Zhang ZC, Yan SQ, Liao JH, Wang YB, Zeng S, Nan D, Fan QW, Qi NC, Sun WL, Guo XY, Zhang P, Chen YH, Zhou Y, Zhou JF, He JR, Shang CS, Li MC, Kubono S, Liu WP, deBoer RJ, Wiescher M, Pignatari M. Deep Underground Laboratory Measurement of ^{13}C(α,n)^{16}O in the Gamow Windows of the s and i Processes. Phys Rev Lett 2022; 129:132701. [PMID: 36206440 DOI: 10.1103/physrevlett.129.132701] [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: 10/13/2021] [Revised: 04/01/2022] [Accepted: 06/01/2022] [Indexed: 06/16/2023]
Abstract
The ^{13}C(α,n)^{16}O reaction is the main neutron source for the slow-neutron-capture process in asymptotic giant branch stars and for the intermediate process. Direct measurements at astrophysical energies in above-ground laboratories are hindered by the extremely small cross sections and vast cosmic-ray-induced background. We performed the first consistent direct measurement in the range of E_{c.m.}=0.24 to 1.9 MeV using the accelerators at the China Jinping Underground Laboratory and Sichuan University. Our measurement covers almost the entire intermediate process Gamow window in which the large uncertainty of the previous experiments has been reduced from 60% down to 15%, eliminates the large systematic uncertainty in the extrapolation arising from the inconsistency of existing datasets, and provides a more reliable reaction rate for the studies of the slow-neutron-capture and intermediate processes along with the first direct determination of the alpha strength for the near-threshold state.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - R J deBoer
- Center for Nuclear Study, University of Tokyo, Wako, Saitama 351-0198, Japan
| | - M Wiescher
- Center for Nuclear Study, University of Tokyo, Wako, Saitama 351-0198, Japan
- Wolfson Fellow of Royal Society, School of Physics and Astronomy, University of Edinburgh, King's Buildings, Edinburgh EH9 3FD, United Kingdom
| | - M Pignatari
- Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (CSFK), Eötvös Loránd Research Network (ELKH), Konkoly Thege Miklós út 15-17, H-1121 Budapest, Hungary
- CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17, Budapest H-1121, Hungary
- E. A. Milne Centre for Astrophysics, Department of Physics and Mathematics, University of Hull, Hull, HU6 7RX, United Kingdom
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Li S, Guo B, Yang Q, Yin J, Ji Y, Jiang Y, Tian L, Ji Y, Zhu H. Factors associated with depression in residents in the post-epidemic era. QJM 2022; 115:605-609. [PMID: 35900167 PMCID: PMC9384610 DOI: 10.1093/qjmed/hcac181] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 07/14/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To explore the factors associated with depression in residents in the post-epidemic era of COVID-19. METHODS A multi-stage stratified random sampling method was used to conduct a questionnaire survey among community residents through self-designed questionnaires and self-rating depression scale (SDS). Multivariate logistic regression analysis was performed on the influencing factors of depressive symptoms. RESULTS A total of 1993 residues completed the survey of depression status. The incidence of depressive symptoms was 27.04%. The multivariate logistic regression analysis showed that female (odds ratio (OR): 6.239, 95% confidence interval (CI): 2.743-10.698), body mass index (BMI) > 24 (OR: 2.684, 95% CI: 1.059-3.759) and drinking (OR: 1.730, 95% CI: 1.480-3.153) were the risk factors for developing depressive symptoms. Married (OR: 0.417, 95% CI: 0.240-0.652), monthly income (3001-5000 yuan, OR: 0.624, 95% CI: 0.280-0.756; >5000 yuan, OR: 0.348, 95% CI: 0.117-0.625), ordinary residents (OR: 0.722, 95% CI: 0.248-0.924) and urban residents (OR: 0.655, 95% CI: 0.394-0.829) were the protective factors of depressive symptoms. CONCLUSIONS Under the post-epidemic era of COVID-19, depressive symptoms are still common among community residents in China. Gender, BMI, drinking, marriage, monthly income and nature of personnel and residential area are associated with the incidence of depressive symptoms.
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Affiliation(s)
| | | | - Q Yang
- The affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - J Yin
- School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Y Ji
- The affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Y Jiang
- The affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - L Tian
- The affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Y Ji
- Address correspondence to Dr H. Zhu, The affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi 214151, China.
| | - H Zhu
- Address correspondence to Dr H. Zhu, The affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi 214151, China.
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Guo B, Guo Z, Zhang H, Shi C, Qin B, Wang S, Chang Y, Chen J, Chen P, Guo L, Guo W, Han H, Han L, Hu Y, Jin X, Li Y, Liu H, Lou P, Lu Y, Ma P, Shan Y, Sun Y, Zhang W, Zheng X, Shao H. Prevalence and risk factors of carbapenem-resistant Enterobacterales positivity by active screening in intensive care units in the Henan Province of China: A multi-center cross-sectional study. Front Microbiol 2022; 13:894341. [PMID: 36187994 PMCID: PMC9521644 DOI: 10.3389/fmicb.2022.894341] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveIn intensive care units (ICUs), carbapenem-resistant Enterobacterales (CRE) pose a significant threat. We aimed to examine the distribution, epidemiological characteristics, and risk factors for CRE positivity in ICUs.Materials and methodsThis cross-sectional study was conducted in 96 ICUs of 78 hospitals in Henan Province, China. The clinical and microbiological data were collected. A multivariable logistic regression model was used to analyze the risk factors for CRE positivity.ResultsA total of 1,009 patients were enrolled. There was a significant difference in CRE positive rate between pharyngeal and anal swabs (15.16 vs. 19.13%, P < 0.001). A total of 297 carbapenem-resistant Klebsiella pneumoniae (CR-KPN), 22 carbapenem-resistant Escherichia coli (CR-ECO), 6 carbapenem-resistant Enterobacter cloacae (CR-ECL), 19 CR-KPN/CR-ECO, and 2 CR-KPN/CR-ECL were detected. Klebsiella pneumoniae carbapenemase (KPC), New Delhi metallo-beta-lactamase (NDM), and a combination of KPC and NDM were detected in 150, 9, and 11 swab samples, respectively. Multivariable logistic regression analysis determined length of ICU stay, chronic neurological disease, transfer from other hospitals, previous infection, and history of antibiotics exposure as independent risk factors for CRE positivity. Age and cardiovascular diseases were independent risk factors for mixed infections of CRE. The occurrence of CRE in secondary and tertiary hospitals was 15.06 and 25.62%, respectively (P < 0.05). Patients from tertiary hospitals had different clinical features compared with those from secondary hospitals, including longer hospital stays, a higher rate of patients transferred from other hospitals, receiving renal replacement therapy, exposure to immunosuppressive drugs, use of antibiotics, and a higher rate of the previous infection.ConclusionIn ICUs in Henan Province, CRE positive rate was very high, mostly KPC-type CR-KPN. Patients with prolonged ICU stay, chronic neurological disease, transfer from other hospitals, previous infection, and history of antibiotic exposure are prone to CRE. Age and cardiovascular diseases are susceptibility factors for mixed infections of CRE. The CRE positive rate in tertiary hospitals was higher than that in secondary hospitals, which may be related to the source of patients, antibiotic exposure, disease severity, and previous infection.
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Affiliation(s)
- Bo Guo
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Ziqi Guo
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Huifeng Zhang
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Chuanchuan Shi
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Bingyu Qin
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
- Bingyu Qin,
| | - Shanmei Wang
- Department of Microbiology Laboratory, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Yinjiang Chang
- Department of Critical Care Medicine, Puyang People’s Hospital, Puyang, China
| | - Jian Chen
- Department of Critical Care Medicine, Xuchang Central Hospital, Xuchang, China
| | - Peili Chen
- Department of Critical Care Medicine, Shangqiu People’s Hospital, Shangqiu, China
| | - Limin Guo
- Department of Critical Care Medicine, Jiyuan People’s Hospital, Jiyuan, China
| | - Weidong Guo
- Department of Critical Care Medicine, Xinxiang Central Hospital, Xinxiang, China
- Department of Critical Care Medicine, The Fourth Clinical College of Xinxiang Medical College, Xinxiang, China
| | - Huaibin Han
- Department of Critical Care Medicine, Zhoukou Central Hospital, Zhoukou, China
| | - Lihong Han
- Department of Critical Care Medicine, Luoyang Central Hospital, Luoyang, China
| | - Yandong Hu
- Department of Critical Care Medicine, Sanmenxia Central Hospital, Sanmenxia, China
| | - Xiaoye Jin
- Department of Critical Care Medicine, Kaifeng People’s Hospital, Kaifeng, China
| | - Yening Li
- Department of Critical Care Medicine, Luohe Central Hospital, Luohe, China
| | - Hong Liu
- Department of Critical Care Medicine, Pingdingshan First People’s Hospital, Pingdingshan, China
| | - Ping Lou
- Department of Critical Care Medicine, Zhengzhou First People’s Hospital, Zhengzhou, China
| | - Yibing Lu
- Department of Critical Care Medicine, Xinyang Central Hospital, Xinyang, China
| | - Panfeng Ma
- Department of Critical Care Medicine, Anyang People’s Hospital, Anyang, China
| | - Yanhua Shan
- Department of Critical Care Medicine, Zhumadian Central Hospital, Zhumadian, China
| | - Yiyi Sun
- Department of Critical Care Medicine, Hebi People’s Hospital, Hebi, China
| | - Wukui Zhang
- Department of Critical Care Medicine, Jiaozuo People’s Hospital, Jiaozuo, China
| | - Xisheng Zheng
- Department of Critical Care Medicine, Nanyang Central Hospital, Nanyang, China
| | - Huanzhang Shao
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
- *Correspondence: Huanzhang Shao,
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He S, Guo X, He J, Guo B, Zheng C. Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique. Sensors (Basel) 2022; 22:6822. [PMID: 36146169 PMCID: PMC9504631 DOI: 10.3390/s22186822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 06/16/2023]
Abstract
This paper investigates the measurement accuracy of unmanned aerial vehicle-based oblique photography (UAVOP) in bridge deformation identifications. A simply supported concrete beam model was selected and measured using the UAVOP technique. The influences of several parameters, such as overall flight altitude (h), local shooting distance (d), partial image overlap (λ), and arrangement of control points, on the quality of the reconstructed three-dimensional (3D) beam model, were presented and discussed. Experimental results indicated that the quality of the reconstructed 3D model was significantly improved by the fusion overall-partial flight routes (FR), of which the reconstructed model quality was 46.7% higher than those with the single flight route (SR). Despite the minimal impact of overall flight altitude, the reconstructed model quality prominently varied with the local shooting distance, partial image overlap, and control points arrangement. As the d decreased from 12 m to 8 m, the model quality was improved by 48.2%, and an improvement of 42.5% was also achieved by increasing the λ from 70% to 80%. The reconstructed model quality of UAVOP with the global-plane control points was 78.4% and 38.4%, respectively, higher than those with the linear and regional control points. Furthermore, an optimized scheme of UAVOP with control points in global-plane arrangement and FR (h = 50 m, d = 8 m, and λ = 80%) was recommended. A comparison between the results measured by the UAVOP and the total station showed maximum identification errors of 1.3 mm. The study's outcomes are expected to serve as potential references for future applications of UAVOP in bridge measurements.
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Affiliation(s)
- Shaohua He
- School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Xiaochun Guo
- School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Jianyan He
- School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Bo Guo
- School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Cheng Zheng
- Guangdong Polytechnic of Environmental Protection Engineering, Foshan 528216, China
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Wang M, Ke Q, Li Z, Zhou D, Liao C, Sun J, Guo B, Cen H. 627MO Orelabrutinib plus RCHOP for previously untreated non-germinal center b cell-like (GCB) diffuse large b cell lymphoma (DLBCL) patients with extranodal disease. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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50
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Jiang Y, An N, Sun Q, Guo B, Wang Z, Zhou W, Gao B, Li Q. Biomass hydrogels combined with carbon nanotubes for water purification via efficient and continuous solar-driven steam generation. Sci Total Environ 2022; 837:155757. [PMID: 35525369 DOI: 10.1016/j.scitotenv.2022.155757] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/02/2022] [Accepted: 05/02/2022] [Indexed: 06/14/2023]
Abstract
Solar vapor generation is a promising, environmentally friendly solution for water purification. The development and design of new materials and supporting devices for efficient energy conversion and clean water production are essential for the practical application of solar-driven desalination and water purification. In this study, an environmentally friendly and economical biomass hydrogel-based solar evaporator with a controllable shape was developed in a simple method by integrating carbon nanotubes (CNTs) into a sodium alginate (SA) hydrogel network. The evaporator had a high solar absorption rate (94.3%) and satisfactory hydrophilicity and could effectively avoid salt crystallization during the desalination process. This study took advantage of the aforementioned merits, and a high evaporation rate of 1.699 kg m-2 h-1 and a conversion efficiency of 86% were achieved under 1.0 sun irradiation. The evaporator could efficiently remove Na+, K+, Ca2+, and Mg2+ from seawater with a removal rate of up to 99.3% and a good decolorization effect on methylene blue (MB) and methyl orange (MO) dye wastewater, whose colour could be completely removed. This study provides a simple, practical, and economical method to prepare hydrogel-based evaporators that utilize abundant solar energy for large-scale desalination and wastewater treatment.
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Affiliation(s)
- Yuhao Jiang
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266200, PR China
| | - Ning An
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266200, PR China
| | - Qianyun Sun
- Shandong Institute of Metrology, Jinan 250014, PR China
| | - Bo Guo
- Shandong Institute of Metrology, Jinan 250014, PR China
| | - Zhining Wang
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266200, PR China
| | - Weizhi Zhou
- School of Civil Engineering, Shandong University, Jinan 250100, PR China
| | - Baoyu Gao
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266200, PR China
| | - Qian Li
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266200, PR China.
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