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Wang Z, Xue F, Sui X, Han W, Song W, Jiang J. Personalised follow-up and management schema for patients with screen-detected pulmonary nodules: A dynamic modelling study. Pulmonology 2024:S2531-0437(24)00040-0. [PMID: 38614860 DOI: 10.1016/j.pulmoe.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Selecting the time target for follow-up testing in lung cancer screening is challenging. We aim to devise dynamic, personalized lung cancer screening schema for patients with pulmonary nodules detected through low-dose computed tomography. METHODS We developed and validated dynamic models using data of pulmonary nodule patients (aged 55-74 years) from the National Lung Screening Trial. We predicted patient-specific risk profiles at baseline (R0) and updated the risk evaluation results in repeated screening rounds (R1 and R2). We used risk cutoffs to optimize time-dependent sensitivity at an early decision point (3 months) and time-dependent specificity at a late decision point (1 year). RESULTS In validation, area under receiver operating characteristic curve for predicting 12-month lung cancer onset was 0.867 (95 % confidence interval: 0.827-0.894) and 0.807 (0.765-0.948) at R0 and R1-R2, respectively. The personalized schema, compared with National Comprehensive Cancer Network (NCCN) guideline and Lung-RADS, yielded lower rates of delayed diagnosis (1.7% vs. 1.7% vs. 6.9 %) and over-testing (4.9% vs. 5.6% vs. 5.6 %) at R0, and lower rates of delayed diagnosis (0.0% vs. 18.2% vs. 18.2 %) and over-testing (2.6% vs. 8.3% vs. 7.3 %) at R2. Earlier test recommendation among cancer patients was more frequent using the personalized schema (vs. NCCN: 29.8% vs. 20.9 %, p = 0.0065; vs. Lung-RADS: 33.2% vs. 22.8 %, p = 0.0025), especially for women, patients aged ≥65 years, and part-solid or non-solid nodules. CONCLUSIONS The personalized schema is easy-to-implement and more accurate compared with rule-based protocols. The results highlight value of personalized approaches in realizing efficient nodule management.
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Affiliation(s)
- Z Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China; Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases. No. 11 Xizhimen South Street, Beijing, China
| | - F Xue
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China
| | - X Sui
- Department of Radiology, Peking Union Medical College Hospital. No.1 Shuaifuyuan Street, Dongcheng District, Beijing, China
| | - W Han
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China
| | - W Song
- Department of Radiology, Peking Union Medical College Hospital. No.1 Shuaifuyuan Street, Dongcheng District, Beijing, China
| | - J Jiang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China.
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Jiang J, Zheng P, Li L. Identification of Prognostic and Immune Characteristics of Two Lung Adenocarcinoma Subtypes Based on TRPV Channel Family Genes. J Membr Biol 2024; 257:115-129. [PMID: 38150051 DOI: 10.1007/s00232-023-00300-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/21/2023] [Indexed: 12/28/2023]
Abstract
Lung adenocarcinoma (LUAD) is one of the deadliest malignant tumors worldwide. Transient receptor potential vanilloid (TRPV) channels take pivotal parts in many cancers, but their impact on LUAD remains unexplored. In this study, LUAD samples were classified into two subtypes according to the expression characteristics of TRPV1-6 genes, with LUAD subtype cluster2 exhibiting significantly higher survival rates than cluster1. Subsequently, analysis of differentially expressed genes (DEGs) was performed between cluster1 and cluster2, revealing enrichment of DEGs in channel activity and Ca2+ signaling pathways. We established a protein-protein interaction network based on DEGs and constructed a LUAD prognostic model by using Cox regression analysis based on genes corresponding to 170 protein nodes. The prognostic model demonstrated good predictive ability for patient prognosis, with higher survival rates observed in the low-risk (LR) group. The risk score was validated as an independent prognostic indicator, according to Cox regression analysis. A clinically applicable nomogram was plotted. Immunological analysis indicated that the LR and high-risk (HR) groups had varied proportions of immune cell infiltration. The immunotherapy prediction indicated that LUAD patients in LR group had a greater likelihood to benefit from immune checkpoint blockade therapy. Furthermore, we hypothesized that the expression patterns of feature genes in the LUAD model were related to the sensitivity to lung cancer therapeutic drugs TAS-6417 and Erlotinib. To sum up, our LUAD prognostic model possessed clinical applicability for prognosis and immunotherapy response prediction.
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Affiliation(s)
- Jianhua Jiang
- Department of Cardiothoracic Surgery, Jingmen People's Hospital, No.39 Xiangshan Avenue, Jingmen City, 448000, Hubei Province, China
| | - Pengchao Zheng
- Department of Cardiothoracic Surgery, Jingmen People's Hospital, No.39 Xiangshan Avenue, Jingmen City, 448000, Hubei Province, China.
| | - Lei Li
- Department of Cardiothoracic Surgery, Jingmen People's Hospital, No.39 Xiangshan Avenue, Jingmen City, 448000, Hubei Province, China.
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Zhan H, Ye M, Jiang J, Gao Y, Zheng C, Duan S. Structural performance of detachable precast concrete column-column joint. Heliyon 2024; 10:e27308. [PMID: 38495148 PMCID: PMC10943345 DOI: 10.1016/j.heliyon.2024.e27308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/19/2024] Open
Abstract
A novel type of detachable precast concrete column-column joint (DPC) is proposed in this study to solve the problems in current column-column dry connections including complex load path, uncertainty of structural stiffness of beam-column joints and inconvenience for disassembly. The dry connection technology is applied by composing of steel plate and concrete. Finite element models of DPC were created to study its structural performance including hysteresis curve, skeleton curve, ductility, and energy dissipation capacity. The benchmark models are firstly established and validated against the test data and after that a small-scale parametric study is prepared. The effect of axial pressure ratio and eccentricity distance size on the seismic performance of DPC was studied. Results indict that the optimal value of axial pressure ratio ranges from 0.5 to 0.7. With increase of the axial pressure ratio, the ductility coefficient shows a decreasing trend in general. The eccentricity has little effect on the energy dissipation capacity of the joint.
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Affiliation(s)
- H. Zhan
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
| | - M. Ye
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
| | - J. Jiang
- Department of Civil Engineering and Smart Cities, Shantou University, 515063, China
| | - Y. Gao
- School of Marine Engineering Equipment, Zhejiang Ocean University, 316022, China
| | - C.W. Zheng
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
| | - S.C. Duan
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
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Yeoh KH, Chang YHR, Chew KH, Jiang J, Yoon TL, Ong DS, Goh BT. Computational Screening of a Single-Atom Catalyst Supported by Monolayer Nb 2S 2C for Oxygen Reduction Reaction. Langmuir 2024. [PMID: 38329924 DOI: 10.1021/acs.langmuir.3c03188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
The search for high-performance catalysts to improve the catalytic activity for an oxygen reduction reaction (ORR) is crucial for developing a proton exchange membrane fuel cell. Using the first-principles method, we have performed computational screening on a series of transition metal (TM) atoms embedded in monolayer Nb2S2C to enhance the ORR activity. Through the scaling relationship and volcano plot, our results reveal that the introduction of a single Ni or Rh atom through substitutional doping into monolayer Nb2S2C yields promising ORR catalysts with low overpotentials of 0.52 and 0.42 V, respectively. These doped atoms remain intact on the monolayer Nb2S2C even at elevated temperatures. Importantly, the catalytic activity of the Nb2S2C doped with a TM atom can be effectively correlated with an intrinsic descriptor, which can be computed based on the number of d orbital electrons and the electronegativity of TM and O atoms.
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Affiliation(s)
- K H Yeoh
- Jeffrey Sachs Center on Sustainable Development, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Selangor 47500, Malaysia
| | - Y H R Chang
- Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Sarawak, Kota Samarahan, Sarawak 94300, Malaysia
| | - K-H Chew
- Zhejiang Expo New Materials Co. Ltd., 1066, Xincheng Times Avenue, Longgang, Wenzhou 325802, China
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Department of Physics, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - J Jiang
- Materials Simulation and Modelling, Department of Applied Physics, Eindhoven University of Technology, Eindhoven 5612, The Netherlands
| | - T L Yoon
- School of Physics, Universiti Sains Malaysia, Penang 11800 USM, Malaysia
| | - D S Ong
- Faculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya, Selangor 63100, Malaysia
| | - B T Goh
- Low Dimensional Materials Research Centre (LDMRC), Department of Physics, Faculty of Science, University of Malaya, Kuala Lumpur, 50603, Malaysia
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Yan XQ, Ye MJ, Zou Q, Chen P, He ZS, Wu B, He DL, He CH, Xue XY, Ji ZG, Chen H, Zhang S, Liu YP, Zhang XD, Fu C, Xu DF, Qiu MX, Lv JJ, Huang J, Ren XB, Cheng Y, Qin WJ, Zhang X, Zhou FJ, Ma LL, Guo JM, Ding DG, Wei SZ, He Y, Guo HQ, Shi BK, Liu L, Liu F, Hu ZQ, Jin XM, Yang L, Zhu SX, Liu JH, Huang YH, Xu T, Liu B, Sun T, Wang ZJ, Jiang HW, Yu DX, Zhou AP, Jiang J, Luan GD, Jin CL, Xu J, Hu JX, Huang YR, Guo J, Zhai W, Sheng XN. Toripalimab plus axitinib versus sunitinib as first-line treatment for advanced renal cell carcinoma: RENOTORCH, a randomized, open-label, phase III study. Ann Oncol 2024; 35:190-199. [PMID: 37872020 DOI: 10.1016/j.annonc.2023.09.3108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors in combination with tyrosine kinase inhibitors are standard treatments for advanced clear cell renal cell carcinoma (RCC). This phase III RENOTORCH study compared the efficacy and safety of toripalimab plus axitinib versus sunitinib for the first-line treatment of patients with intermediate-/poor-risk advanced RCC. PATIENTS AND METHODS Patients with intermediate-/poor-risk unresectable or metastatic RCC were randomized in a ratio of 1 : 1 to receive toripalimab (240 mg intravenously once every 3 weeks) plus axitinib (5 mg orally twice daily) or sunitinib [50 mg orally once daily for 4 weeks (6-week cycle) or 2 weeks (3-week cycle)]. The primary endpoint was progression-free survival (PFS) assessed by an independent review committee (IRC). The secondary endpoints were investigator-assessed PFS, overall response rate (ORR), overall survival (OS), and safety. RESULTS A total of 421 patients were randomized to receive toripalimab plus axitinib (n = 210) or sunitinib (n = 211). With a median follow-up of 14.6 months, toripalimab plus axitinib significantly reduced the risk of disease progression or death by 35% compared with sunitinib as assessed by an IRC [hazard ratio (HR) 0.65, 95% confidence interval (CI) 0.49-0.86; P = 0.0028]. The median PFS was 18.0 months in the toripalimab-axitinib group, whereas it was 9.8 months in the sunitinib group. The IRC-assessed ORR was significantly higher in the toripalimab-axitinib group compared with the sunitinib group (56.7% versus 30.8%; P < 0.0001). An OS trend favoring toripalimab plus axitinib was also observed (HR 0.61, 95% CI 0.40-0.92). Treatment-related grade ≥3 adverse events occurred in 61.5% of patients in the toripalimab-axitinib group and 58.6% of patients in the sunitinib group. CONCLUSION In patients with previously untreated intermediate-/poor-risk advanced RCC, toripalimab plus axitinib provided significantly longer PFS and higher ORR than sunitinib and had a manageable safety profile TRIAL REGISTRATION: ClinicalTrials.gov NCT04394975.
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Affiliation(s)
- X Q Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - M J Ye
- Department of Urology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha
| | - Q Zou
- Department of Urology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Affiliated Cancer Hospital of Nanjing Medical University, Nanjing
| | - P Chen
- Department of Urology, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi
| | - Z S He
- Department of Urology, First Hospital of Peking University, Beijing
| | - B Wu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang
| | - D L He
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an
| | - C H He
- Department of Urology, Cancer Hospital of Henan Province, Zhengzhou
| | - X Y Xue
- Department of Urology, The First Affiliated Hospital, Fujian Medical University, Fuzhou
| | - Z G Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H Chen
- Department of Urology, Harbin Medical University Cancer Hospital, Harbin
| | - S Zhang
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu
| | - Y P Liu
- Department of Oncology, The First Hospital of China Medical University, Shenyang
| | - X D Zhang
- Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing
| | - C Fu
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang
| | - D F Xu
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai
| | - M X Qiu
- Department of Urology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu
| | - J J Lv
- Department of Urology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan
| | - J Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou
| | - X B Ren
- Department of Immunology and Biotherapy, Cancer Institute & Hospital, Tianjin Medical University, Tianjin
| | - Y Cheng
- Department of Medical Thoracic Oncology, Jilin Provincial Cancer Hospital, Changchun
| | - W J Qin
- Department of Urology, Xijing Hospital of Air Force Military Medical University, Xi'an
| | - X Zhang
- Department of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou
| | - L L Ma
- Department of Urology, Peking University Third Hospital, Beijing
| | - J M Guo
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai
| | - D G Ding
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou
| | - S Z Wei
- Department of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Y He
- Department of Urology, The Affiliated Hospital of Jiaxing University, Jiaxing
| | - H Q Guo
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing
| | - B K Shi
- Department of Urology, Qilu Hospital of Shandong University, Jinan
| | - L Liu
- Department of Urology, Qilu Hospital of Shandong University, Jinan
| | - F Liu
- Department of Urology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou
| | - Z Q Hu
- Department of Urology, Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science & Technology, Wuhan
| | - X M Jin
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan
| | - L Yang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou
| | - S X Zhu
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou
| | - J H Liu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming
| | - Y H Huang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou
| | - T Xu
- Department of Urology, Peking University People's Hospital, Beijing
| | - B Liu
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou
| | - T Sun
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang
| | - Z J Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing
| | - H W Jiang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai
| | - D X Yu
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei
| | - A P Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - J Jiang
- Department of Urology, The PLA General Hospital Army Characteristic Medical Center, Chongqing
| | - G D Luan
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - C L Jin
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - J Xu
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - J X Hu
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - Y R Huang
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - W Zhai
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - X N Sheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing.
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Sowadan O, Xu S, Li Y, Muleke EM, Sitoe HM, Dang X, Jiang J, Dong H, Hong D. Genome-Wide Association Analysis Unravels New Quantitative Trait Loci (QTLs) for Eight Lodging Resistance Constituent Traits in Rice ( Oryza sativa L.). Genes (Basel) 2024; 15:105. [PMID: 38254994 PMCID: PMC10815206 DOI: 10.3390/genes15010105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/13/2024] [Accepted: 01/14/2024] [Indexed: 01/24/2024] Open
Abstract
Lodging poses a significant challenge to rice yield, prompting the need to identify elite alleles for lodging resistance traits to improve cultivated rice varieties. In this study, a natural population of 518 rice accessions was examined to identify elite alleles associated with plant height (PH), stem diameter (SD), stem anti-thrust (AT/S), and various internode lengths (first (FirINL), second (SecINL), third (ThirINL), fourth (ForINL), and fifth (FifINL) internode lengths). A total of 262 SSR markers linked to these traits were uncovered through association mapping in two environmental conditions. Phenotypic evaluations revealed striking differences among cultivars, and genetic diversity assessments showed polymorphisms across the accessions. Favorable alleles were identified for PH, SD, AT/S, and one to five internode lengths, with specific alleles displaying considerable effects. Noteworthy alleles include RM6811-160 bp on chromosome 6 (which reduces PH) and RM161-145 bp on chromosome 5 (which increases SD). The study identified a total of 42 novel QTLs. Specifically, seven QTLs were identified for PH, four for SD, five for AT/S, five for FirINL, six for SecINL, five for ThirINL, six for ForINL, and four for FifINL. QTLs qAT/S-2, qPH2.1, qForINL2.1, and qFifINL exhibited the most significant phenotypic variance (PVE) of 3.99% for the stem lodging trait. AT/S, PH, ForINL, and FifINL had additive effects of 5.31 kPa, 5.42 cm, 4.27 cm, and 4.27 cm, respectively, offering insights into eight distinct cross-combinations for enhancing each trait. This research suggests the potential for crossbreeding superior parents based on stacked alleles, promising improved rice cultivars with enhanced lodging resistance to meet market demands.
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Affiliation(s)
- Ognigamal Sowadan
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
| | - Shanbin Xu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
| | - Yulong Li
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
- Institute of Crop Research, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Everlyne Mmbone Muleke
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
- Department of Agriculture and Land Use Management, School of Agriculture, Veterinary Sciences and Technology, Masinde Muliro University of Science and Technology, Kakamega P.O. Box 190-50100, Kenya
| | - Hélder Manuel Sitoe
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
- Faculty of Agronomy and Biological Sciences, Púngue University, P.O. Box 323, Manica 2202, Mozambique
| | - Xiaojing Dang
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei 230031, China; (X.D.); (J.J.)
| | - Jianhua Jiang
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei 230031, China; (X.D.); (J.J.)
| | - Hui Dong
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
| | - Delin Hong
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; (O.S.); (S.X.); (Y.L.); (E.M.M.); (H.M.S.); (H.D.)
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7
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Jiang J, Song S, Hu C, Jing C, Xu Q, Li X, Zhang M, Hai M, Shen J, Zhang Y, Wang D, Dang X. QTL Detection and Candidate Gene Identification for Eating and Cooking Quality Traits in Rice ( Oryza sativa L.) via a Genome-Wide Association Study. Int J Mol Sci 2024; 25:630. [PMID: 38203801 PMCID: PMC10779416 DOI: 10.3390/ijms25010630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/25/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
The eating and cooking quality (ECQ) directly affects the taste of rice, being closely related to factors such as gelatinization temperature (GT), gel consistency (GC) and amylose content (AC). Mining the quantitative trait loci (QTLs), and gene loci controlling ECQ-related traits is vital. A genome-wide association study on ECQ-related traits was conducted, combining 1.2 million single nucleotide polymorphisms (SNPs) with the phenotypic data of 173 rice accessions. Two QTLs for GT, one for GC and five for AC were identified, of which two were found in previously reported genes, and six were newly found. There were 28 positional candidate genes in the region of qAC11. Based on a linkage disequilibrium (LD) analysis, three candidate genes were screened within the LD region associated with AC. There were significant differences between the haplotypes of LOC_Os11g10170, but no significant differences were found for the other two genes. The qRT-PCR results showed that the gene expression levels in the accessions with high ACs were significantly larger than those in the accessions with low ACs at 35d and 42d after flowering. Hap 2 and Hap 3 of LOC_Os11g10170 reduced the AC by 13.09% and 10.77%, respectively. These results provide a theoretical and material basis for improving the ECQ of rice.
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Affiliation(s)
- Jianhua Jiang
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Shaojie Song
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Changmin Hu
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Chunyu Jing
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Qing Xu
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Xinru Li
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Mengyuan Zhang
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Mei Hai
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Jiaming Shen
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Ying Zhang
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Dezheng Wang
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Xiaojing Dang
- Anhui Province Key Laboratory of Rice Genetics and Breeding (Rice Research Institute), Anhui Academy of Agricultural Sciences, Hefei 230031, China
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Jiang J, Xia Z, Zheng D, Li Y, Li F, Wang W, Ding S, Zhang J, Su X, Zhai Q, Zuo Y, Zhang Y, Gaisano HY, He Y, Sun J. Factors associated with nocturnal and diurnal glycemic variability in patients with type 2 diabetes: a cross-sectional study. J Endocrinol Invest 2024; 47:245-253. [PMID: 37354249 DOI: 10.1007/s40618-023-02142-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/16/2023] [Indexed: 06/26/2023]
Abstract
PURPOSE There is little information on factors that influence the glycemic variability (GV) during the nocturnal and diurnal periods. We aimed to examine the relationship between clinical factors and GV during these two periods. METHODS This cross-sectional study included 134 patients with type 2 diabetes. 24-h changes in blood glucose were recorded by a continuous glucose monitoring system. Nocturnal and diurnal GV were assessed by standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE), respectively. Robust regression analyses were performed to identify the factors associated with GV. Restricted cubic splines were used to determine dose-response relationship. RESULTS During the nocturnal period, age and glycemic level at 12:00 A.M. were positively associated with GV, whereas alanine aminotransferase was negatively associated with GV. During the diurnal period, homeostatic model assessment 2-insulin sensitivity (HOMA2-S) was positively associated with GV, whereas insulin secretion-sensitivity index-2 (ISSI2) was negatively associated with GV. Additionally, we found a J-shape association between the glycemic level at 12:00 A.M. and MAGE, with 9.0 mmol/L blood glucose level as a cutoff point. Similar nonlinear associations were found between ISSI2 and SDBG, and between ISSI2 and MAGE, with ISSI2 value of 175 as a cutoff point. CONCLUSION Factors associated with GV were different between nocturnal and diurnal periods. The cutoff points we found in this study may provide the therapeutic targets for beta-cell function and pre-sleep glycemic level in clinical practice.
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Affiliation(s)
- J Jiang
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
- Postdoctoral of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Z Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - D Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Y Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - F Li
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - W Wang
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - S Ding
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - J Zhang
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - X Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - Q Zhai
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - Y Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - Y Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - H Y Gaisano
- Departments of Medicine and Physiology, University of Toronto, Toronto, ON, Canada
| | - Y He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - J Sun
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
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Petrella JR, Jiang J, Sreeram K, Dalziel S, Doraiswamy PM, Hao W. Personalized Computational Causal Modeling of the Alzheimer Disease Biomarker Cascade. J Prev Alzheimers Dis 2024; 11:435-444. [PMID: 38374750 DOI: 10.14283/jpad.2023.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Mathematical models of complex diseases, such as Alzheimer's disease, have the potential to play a significant role in personalized medicine. Specifically, models can be personalized by fitting parameters with individual data for the purpose of discovering primary underlying disease drivers, predicting natural history, and assessing the effects of theoretical interventions. Previous work in causal/mechanistic modeling of Alzheimer's Disease progression has modeled the disease at the cellular level and on a short time scale, such as minutes to hours. No previous studies have addressed mechanistic modeling on a personalized level using clinically validated biomarkers in individual subjects. OBJECTIVES This study aimed to investigate the feasibility of personalizing a causal model of Alzheimer's Disease progression using longitudinal biomarker data. DESIGN/SETTING/PARTICIPANTS/MEASUREMENTS We chose the Alzheimer Disease Biomarker Cascade model, a widely-referenced hypothetical model of Alzheimer's Disease based on the amyloid cascade hypothesis, which we had previously implemented mathematically as a mechanistic model. We used available longitudinal demographic and serial biomarker data in over 800 subjects across the cognitive spectrum from the Alzheimer's Disease Neuroimaging Initiative. The data included participants that were cognitively normal, had mild cognitive impairment, or were diagnosed with dementia (probable Alzheimer's Disease). The model consisted of a sparse system of differential equations involving four measurable biomarkers based on cerebrospinal fluid proteins, imaging, and cognitive testing data. RESULTS Personalization of the Alzheimer Disease Biomarker Cascade model with individual serial biomarker data yielded fourteen personalized parameters in each subject reflecting physiologically meaningful characteristics. These included growth rates, latency values, and carrying capacities of the various biomarkers, most of which demonstrated significant differences across clinical diagnostic groups. The model fits to training data across the entire cohort had a root mean squared error (RMSE) of 0.09 (SD 0.081) on a variable scale between zero and one, and were robust, with over 90% of subjects showing an RMSE of < 0.2. Similarly, in a subset of subjects with data on all four biomarkers in at least one test set, performance was high on the test sets, with a mean RMSE of 0.15 (SD 0.117), with 80% of subjects demonstrating an RMSE < 0.2 in the estimation of future biomarker points. Cluster analysis of parameters revealed two distinct endophenotypic groups, with distinct biomarker profiles and disease trajectories. CONCLUSION Results support the feasibility of personalizing mechanistic models based on individual biomarker trajectories and suggest that this approach may be useful for reclassifying subjects on the Alzheimer's clinical spectrum. This computational modeling approach is not limited to the Alzheimer Disease Biomarker Cascade hypothesis, and can be applied to any mechanistic hypothesis of disease progression in the Alzheimer's field that can be monitored with biomarkers. Thus, it offers a computational platform to compare and validate various disease hypotheses, personalize individual biomarker trajectories and predict individual response to theoretical prevention and therapeutic intervention strategies.
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Affiliation(s)
- J R Petrella
- Jeffrey R. Petrella, Department of Radiology, Duke University School of Medicine, DUMC - Box 3808 , 27710-3808, NC, USA
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Xie D, Bai Z, Zhou G, Li K, Ding J, Zhang H, Jiang J. Chemerin and IL-17 are potential predictors and Chemerin silencing alleviates inflammatory response and bone remodeling in chronic rhinosinusitis. Chem Biol Drug Des 2023; 102:1478-1488. [PMID: 37712455 DOI: 10.1111/cbdd.14339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/25/2023] [Accepted: 08/18/2023] [Indexed: 09/16/2023]
Abstract
Chronic rhinosinusitis (CRS) is an inflammatory disease of paranasal sinuses. This study is formulated to explore the roles of pro-inflammatory factors Chemerin and interleukin-17 (IL-17) in CRS. Patients suffering from CRS without/with nasal polyps (CRSsNP/CRSwNP), along with volunteers, were recruited. CRS rabbit models were constructed by Staphylococcus aureus infection and rabbits were injected with lentiviral vectors of short hairpin RNA-targeting Chemerin (shChemerin), followed by micro-computed tomography (CT) scan. Levels of Chemerin and IL-17 were determined, and histopathological lesions were observed in subjects and CRS rabbits. Correlations between Chemerin/IL-17 level and Lund-Mackay/Lund-Kennedy scores of subjects and the predictive value of Chemerin or IL-17 for CRS were analyzed. In CRS patients and rabbits, inflammatory degrees and the level of Chemerin/IL-17 were increased in pathological tissues or plasma, while Chemerin silencing alleviated CRS symptoms of CRS rabbits. Chemerin and IL-17 were mainly located in the immune cells of pathological tissues and presented the positive correlation with Lund-Mackay/Lund-Kennedy score of CRS patients. Also, they showed high predictive value for CRS. Micro-CT scan uncovered that CRS rabbits had increased bone remodeling, which was alleviated by Chemerin silencing. Collectively, Chemerin and IL-17 are potential predictors and Chemerin silencing alleviates inflammatory response and bone remodeling in chronic rhinosinusitis.
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Affiliation(s)
- Daoyu Xie
- Department of Otolaryngology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Zhixiang Bai
- Department of Otolaryngology, The First People's Hospital of Lin'an District, Hangzhou, China
| | - Guowen Zhou
- Department of Otolaryngology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Kaijie Li
- School of Clinical Medicine, Hangzhou Normal University, Hangzhou, China
| | - Jinv Ding
- Department of Otolaryngology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Haiqin Zhang
- Department of Otolaryngology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Jianhua Jiang
- Department of Otolaryngology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
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Jiang J, Liu B, Li YW, Hothi SS. Clinical service evaluation of the feasibility and reproducibility of novel artificial intelligence based-echocardiographic quantification of global longitudinal strain and left ventricular ejection fraction in trastuzumab-treated patients. Front Cardiovasc Med 2023; 10:1250311. [PMID: 38045908 PMCID: PMC10693341 DOI: 10.3389/fcvm.2023.1250311] [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: 07/05/2023] [Accepted: 10/16/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction Cardiotoxicity is a potential prognostically important complication of certain chemotherapeutic agents that may result in preclinical or overt clinical heart failure. In some cases, chemotherapy must be withheld when left ventricular (LV) systolic function becomes significantly impaired, to protect cardiac function at the expense of a change in the oncological treatment plan, leading to associated changes in oncological prognosis. Accordingly, patients receiving potentially cardiotoxic chemotherapy undergo routine surveillance before, during and following completion of therapy, usually with transthoracic echocardiography (TTE). Recent advancements in AI-based cardiac imaging reveal areas of promise but key challenges remain. There are ongoing questions as to whether the ability of AI to detect subtle changes in individual patients is at a level equivalent to manual analysis. This raises the question as to whether AI-based left ventricular strain analysis could provide a potential solution to left ventricular systolic function analysis in a manner equivocal to or superior to conventional assessment, in a real-world clinical service. AI based automated analyses may represent a potential solution for addressing the pressure of increasing echocardiographic demands within limited service-capacity healthcare systems, in addition to facilitating more accurate diagnoses. Methods This clinical service evaluation aims to establish whether AI-automated analysis compared to conventional methods (1) is a feasible method for assessing LV-GLS and LVEF, (2) yields moderate to good correlation between the two approaches, and (3) would lead to different clinical recommendations with serial surveillance in a real-world clinical population. Results and Discussion We observed a moderate correlation (r = 0.541) in GLS between AI automated assessment compared to conventional methods. The LVEF quantification between methods demonstrated a strong correlation (r = 0.895). AI-generated GLS and LVEF values compared reasonably well with conventional methods, demonstrating a similar temporal pattern throughout echocardiographic surveillance. The apical-three chamber view demonstrated the lowest correlation (r = 0.423) and revealed to be least successful for acquisition of GLS and LVEF. Compared to conventional methodology, AI-automated analysis has a significantly lower feasibility rate, demonstrating a success rate of 14% (GLS) and 51% (LVEF).
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Affiliation(s)
- J. Jiang
- Heart and Lung Centre, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
| | - B. Liu
- Department of Cardiology, Manchester University NHS Foundation Trust, Manchester, United Kingdom
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Y. W. Li
- Department of Anaesthesia, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
| | - S. S. Hothi
- Heart and Lung Centre, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
- Research Centre for Health and Life Sciences, Coventry University, Coventry, United Kingdom
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Liu E, Zhu S, Du M, Lyu H, Zeng S, Liu Q, Wu G, Jiang J, Dang X, Dong Z, Hong D. LAX1, functioning with MADS-box genes, determines normal palea development in rice. Gene 2023; 883:147635. [PMID: 37442304 DOI: 10.1016/j.gene.2023.147635] [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: 03/08/2023] [Revised: 06/19/2023] [Accepted: 07/10/2023] [Indexed: 07/15/2023]
Abstract
Normal floral organ development in rice is necessary for grain formation. Many MADS-box family genes that belong to ABCDE model have been widely implicated in rice flower development. The LAX1 allele encodes a plant-specific basic helix-loop-helix (bHLH) transcription factor, which is the main regulator of axillary meristem formation in rice. However, the molecular mechanisms of LAX1 allele together with MADS-box family genes underlying palea development have not been reported. We found a short palea mutant plant in a population of indica rice variety 9311 treated with cobalt 60. We report the map-based cloning and characterization of lax1-7, identified as a new mutant allele of the LAX1 locus, and the role of its wild-type allele LAX1 in rice palea development. Through complementary experiments, combined with genetic and molecular biological analyses, the function of the LAX1 allele was determined. We showed that LAX1 allele is expressed specifically in young spikelets and encodes a nucleus-localized protein. In vitro and in vivo experiments revealed that the LAX1 protein physically interacts with OsMADS1, OsMADS6 and OsMADS7. The LAX1 allele is pleiotropic for the maintenance of rice palea identity via cooperation with MADS-box genes and other traits, including axillary meristem initiation, days to heading, plant height, panicle length and spikelet fertility.
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Affiliation(s)
- Erbao Liu
- College of Agriculture, Anhui Agricultural University, Hefei 230036, China
| | - Shangshang Zhu
- National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Mingyu Du
- College of Agriculture, Anhui Agricultural University, Hefei 230036, China
| | - Huineng Lyu
- National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Siyuan Zeng
- National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Qiangming Liu
- Chongqing Academy of Agricultural Sciences, Chongqing 401329, China
| | - Guocan Wu
- Ningde Institute of Agricultural Sciences, Ningde 355017, China
| | - Jianhua Jiang
- Anhui Academy of Agricultural Sciences, Hefei 230001, China
| | - Xiaojing Dang
- Anhui Academy of Agricultural Sciences, Hefei 230001, China
| | - Zhiyao Dong
- College of Life Sciences, Jilin Normal University, Jilin 136000, China
| | - Delin Hong
- National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China.
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Erratum: Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande [Phys. Rev. Lett. 130, 031802 (2023)]. Phys Rev Lett 2023; 131:159903. [PMID: 37897794 DOI: 10.1103/physrevlett.131.159903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Indexed: 10/30/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.130.031802.
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Sun Y, Ni YA, Xu HJ, Wang LZ, Yang J, Jiang J, Zhong R. [Two cases of refractory childhood acute B-lymphoblastic leukemia with positive KMT2A-USP2 treated with Belintouximab]. Zhonghua Er Ke Za Zhi 2023; 61:930-932. [PMID: 37803862 DOI: 10.3760/cma.j.cn112140-20230406-00244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Affiliation(s)
- Y Sun
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Y A Ni
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - H J Xu
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - L Z Wang
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J Yang
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J Jiang
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - R Zhong
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
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Choi C, Thor M, Jiang J, Rimner A, Veeraraghavan H. Determining the Dosimetric Accuracy of Deep Learning-Based Fully Automated Registration-Segmentation Approach for Thoracic Cancer Organs-at-Risk Contouring. Int J Radiat Oncol Biol Phys 2023; 117:e656-e657. [PMID: 37785947 DOI: 10.1016/j.ijrobp.2023.06.2087] [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) For adaptive radiation therapy (ART), the contours on the planning CT (pCT) are frequently propagated to cone-beam CT (CBCT) via deformable image registration and manually edited, which is observer-dependent and time-consuming. To automate this process, we created a fully automated workflow by combining a deep learning (DL)-based pCT segmentation model with a CT-to-CBCT registration-segmentation DL model. The purpose of our research is to determine how using the proposed workflow's automatically generated contours affects thoracic organs-at-risk sparing (OAR). MATERIALS/METHODS Seven patients with locally advanced non-small cell lung cancer who underwent treatment with intensity modulated radiation therapy were included in this study. Each patient's pCT was segmented using a published DL model that has been used for generating thoracic OAR segmentation and radiotherapy planning in the clinic since July of 2020. Next, pCT was deformably registered using a published recurrent deep registration-segmentation method. Whereas the original method's segmentation sub-network was only trained to segment esophagus, the registration sub-network was used to propagate contours for heart, esophagus, and the proximal bronchial tree (PBT). Geometric segmentation accuracy using the Dice Similarity Coefficient (DSC) and the 95th percentile Hausdorff Distance (HD) and dose metrics including the mean esophageal dose (MED) and D90% of the heart (D90) were computed from the total accumulated dose for the first two weeks of treatment. RESULTS The esophagus had a high DSC and a low HD (0.93 and 2.85mm) and conversely, the heart had lower accuracy (DSC = 0.85, HD = 22.06mm). PBT showed relatively high performance as well, with DSC of 0.91 and HD of 2.28mm, owing to its proximity to the esophagus. The accumulated MED for manual contour was slightly lower than AI-contours (11.34 vs 11.83 Gy), suggesting reliability of the proposed workflow. The reverse is seen for the D90 of the heart (manual = 1.74 and AI-contour = 1.56 Gy), likely due to the heart not being included in the original DL framework. CONCLUSION This study reported preliminary results on the feasibility of using a fully automated and patient-specific workflow for CBCT auto-segmentation in ART, confirming its role as a geometrically and dosimetrically accurate solution for thoracic OARs. However, because it is currently limited to the esophagus, we believe that re-training the algorithm will increase confidence in other OARs such as the heart and lungs.
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Affiliation(s)
- C Choi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - M Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jiang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
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Choi C, Mankuzhy NP, Jiang J, Elguindi S, Thor M, Rimner A, Veeraraghavan H. Clinical Feasibility of Deep Learning-Based CT during Treatment CBCT Tumor Registration-Segmentation in Thoracic Radiotherapy (RT). Int J Radiat Oncol Biol Phys 2023; 117:e656. [PMID: 37785946 DOI: 10.1016/j.ijrobp.2023.06.2086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate tumor segmentation on weekly cone-beam computed tomography (CBCT) images is critical for image-guided and adaptive radiation therapy (ART). In thoracic RT, low image contrast, imaging artifact, and geometry and image modality differences from the planning CT (pCT) typically limits accurate tumor segmentation and registration. Here, we explored the clinical feasibility of using 3D recurrent registration-segmentation deep learning (DL) that combines patient-specific anatomic and shape context from higher contrast pCT and planning contours (PACs) for tumor segmentation on during treatment CBCTs. MATERIALS/METHODS We included the pCT and CBCTs from six patients with locally advanced non-small cell lung cancer (LA-NSCLC) who had underwent RT. Cases were selected with a primary GTV contoured and labeled separately from the nodal GTV. Using rigidly aligned pCT and CBCT as inputs, DL auto-segmented the GTV on week 1 and 6 CBCTs, and these auto-segmented contours were manually inspected by a radiation oncologist that edited the GTV according to clinical standard quality. The Dice similarity coefficient (DSC), Hausdorff distance (HD95), mean surface distance (MSD), surface DSC (sDSC) and added path length (APL) were used to quantitively compare the DL and the edited GTV. RESULTS The primary GTV was in the right lung in five cases, and left lung in one case. Manual adjustments were typically made at the interface of GTV and lung parenchyma with partial inclusion of adjacent vessels. Hypodensities within the GTV were sometimes not segmented in all axial slices resulting in discontinuous components. The quantitative comparison between the edited and DL-generated GTV is shown in Table 1. For week 1, the average DSC and HD95 were 0.87 and 6.94 mm, respectively. The performance for week 6 was slightly lower than week 1, with a DSC of 0.85 and HD95 of 7.22 mm. CONCLUSION The agreement with the generated DL GTV and the edited GTV was high in week 1 and decreased somewhat later during the treatment course possibly due to a higher impact of geometric changes in tumor and adjacent structures. The proposed DL algorithm showed reasonable performance throughout the treatment, supporting its potential for use into clinical routine for LA-NSCLC.
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Affiliation(s)
- C Choi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - N P Mankuzhy
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jiang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - S Elguindi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - M Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
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Jiang J, Rezaeitaleshmahalleh M, Lyu Z, Mu N, Ahmed AS, Md CMS, Gemmete JJ, Pandey AS. Augmenting Prediction of Intracranial Aneurysms' Risk Status Using Velocity-Informatics: Initial Experience. J Cardiovasc Transl Res 2023; 16:1153-1165. [PMID: 37160546 PMCID: PMC10949935 DOI: 10.1007/s12265-023-10394-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 04/26/2023] [Indexed: 05/11/2023]
Abstract
Our primary goal here is to demonstrate that innovative analytics of aneurismal velocities, named velocity-informatics, enhances intracranial aneurysm (IA) rupture status prediction. 3D computer models were generated using imaging data from 112 subjects harboring anterior IAs (4-25 mm; 44 ruptured and 68 unruptured). Computational fluid dynamics simulations and geometrical analyses were performed. Then, computed 3D velocity vector fields within the IA dome were processed for velocity-informatics. Four machine learning methods (support vector machine, random forest, generalized linear model, and GLM with Lasso or elastic net regularization) were employed to assess the merits of the proposed velocity-informatics. All 4 ML methods consistently showed that, with velocity-informatics metrics, the area under the curve and prediction accuracy both improved by approximately 0.03. Overall, with velocity-informatics, the support vector machine's prediction was most promising: an AUC of 0.86 and total accuracy of 77%, with 60% and 88% of ruptured and unruptured IAs being correctly identified, respectively.
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Affiliation(s)
- J Jiang
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA.
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA.
- Department of Medical Physics, University of Wisconsin, Madison, WI, USA.
| | - M Rezaeitaleshmahalleh
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA
| | - Z Lyu
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA
| | - Nan Mu
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA
| | - A S Ahmed
- Department of Neurosurgery, University of Wisconsin, Madison, WI, USA
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - C M Strother Md
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - J J Gemmete
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - A S Pandey
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
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Deng LH, Geng JX, Xue Q, Jiang J, Chen LX, Wang JT. Correlation between nocturnal intermittent hypoxemia and mild cognitive impairment in the older adult and the role of BDNF Val66Met polymorphism: a hospital-based cross-sectional study. Sleep Breath 2023; 27:1945-1952. [PMID: 36567420 DOI: 10.1007/s11325-022-02772-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 11/14/2022] [Accepted: 12/16/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE To explore the prevalence of nocturnal intermittent hypoxemia (NIH) in a tertiary hospital geriatric department and the relationship between NIH and mild cognitive impairment (MCI) in older adults, and to examine the role of brain-derived neurotrophic factor (BDNF) Val66Met polymorphism. METHODS Older adults aged ≥ 60 were enrolled. NIH and cognitive assessments were conducted. BDNF concentrations and BDNF Val66Met polymorphism were detected for a preliminary exploration of the possible mechanism of the process. RESULTS Of 325 older adults enrolled, 157 (48%) had NIH and were further divided into mild, moderate, and severe NIH groups according to their oxygen desaturation of ≥ 4% per hour of sleep (ODI4). MCI detection rate in the four groups gradually increased, and the differences were statistically significant (chi-square = 4.457, P = 0.035). ODI4 was negatively correlated with MoCA score in all participants (r = - 0.115, P = 0.039) and patients with NIH (r = - 0.199, P = 0.012). After adjusting for sex, age, and cardiovascular risk factors, NIH and MCI remained independently associated (OR = 3.13, 95% CI 1.03-9.53, P = 0.045). BDNF levels were positively correlated with MoCA score (r = 0.169, P = 0.028) and negatively correlated with nocturnal average oxygen saturation in patients with NIH (r = - 0.288, P = 0.008). Older adults with different BDNF Val66Met genotypes did not show significant differences in MCI rate and BDNF levels (P > 0.05). CONCLUSION The older adults with NIH have a higher MCI detection rate. BDNF levels may be a potential biomarker for cognitive dysfunction in patients with NIH.
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Affiliation(s)
- L H Deng
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - J X Geng
- Peking University Health Science Center, Beijing, China
| | - Q Xue
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - J Jiang
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - L X Chen
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - J T Wang
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China.
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Sun R, Xi K, Song X, Yin W, Xi D, Shao Y, Gu W, Jiang J. The Effect of MDSC-Derived Exosomes Played in Esophageal Squamous Carcinoma Cells after Ionizing Radiation. Int J Radiat Oncol Biol Phys 2023; 117:e261. [PMID: 37785000 DOI: 10.1016/j.ijrobp.2023.06.1216] [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) Radiotherapy is the main treatment for esophageal cancer. Previous studies have shown that radiotherapy not only kills tumor cells directly, but also reshapes the immune microenvironment of the tumor. It has been reported an increase in the recruitment of myeloid-derived suppressor cells (MDSC) can occur in tumor tissue after ionizing radiation. Exosomes are mediators of intercellular information exchange and are also involved in the regulation of the tumor microenvironment. In this study, we wanted to understand whether MDSC in esophageal cancer tissue are involved in the regulation of tumor cell response to ionizing radiation via exosomes. MATERIALS/METHODS KYSE-150 was used to construct a subcutaneous transplantation tumor model in nude mice. And then mice irradiated with 5 Gy×5fx and 0 Gy×5fx respectively. After irradiation, the spleens of the mice were used to isolate MDSC, and collect the cell supernatants to extract the exosomes. Based on the exosomes, we divided the experiment into three groups (control, exosomes, exosomes+radiation). Exosomes were injected into a nude mouse model of esophageal cancer via the tail vein or co-cultured with KYSE-150 cells. Mice were irradiated with a 5 Gy×5fx after completion of injection, and KYSE-150 cells were irradiated with a single dose 4 Gy. After radiation, KYSE-150 cells were used to detect cell cloning, apoptosis and cell cycle by flow cytometry, cell proliferation by CCK 8. XRCC4,XRCC5,XRCC6,γH2AX,ATM expression in cells and tumor tissue were measured by Western blot and RT-PCR. RESULTS The tumor volume was significantly reduced after 5 Gy x 5fx radiation. When exosomes co-cultured with KYSE-150 cells, decrease in apoptosis and increase in cell cloning and cell proliferation were found in the exosomes+radiation group and exosomes group after radiation when compared with the control group, with this change being more pronounced in the exosome+radiation group. The results of the cell cycle assay showed that after ionizing radiation, the proportion of cells in the G0/G1 phase was significantly lower, and the proportion of cells in the S and G2/M phases were significantly higher in the exosomes+radiation group and exosomes group when compared to the Control group. The protein and mRNA expression of XRCC4,XRCC5,XRCC6,γH2AX,ATM in cells were increased in exosomes+radiation group and exosomes group after radiation when compared with the control group, with this change being more obvious in the exosome+radiation group. After irradiation, tumor volumes were measured in nude mice and the results showed that exosomes+radiation group tumors were the largest in volume, while the control group regressed most significantly after irradiation. CONCLUSION MDSC-derived exosomes have a tumor growth-promoting effect in esophageal squamous carcinoma, which is enhanced by ionizing radiation, and this may be related to the accelerated repair of damage in tumor tissue after radiation.
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Affiliation(s)
- R Sun
- Department of Radiotherapy & Oncology, The Third Affiliated Hospital of Soochow University, Chang Zhou, China
| | - K Xi
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - X Song
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - W Yin
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - D Xi
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - Y Shao
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - W Gu
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - J Jiang
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
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Kennedy WR, Chang YW, Jiang J, Molloy J, Pennington-Krygier C, Harmon J, Hong A, Wanebo J, Braun K, Garcia MA, Barani IJ, Yoo W, Tovmasyan A, Tien AC, Li J, Mehta S, Sanai N. A Combined Phase 0/2 "Trigger" Trial Evaluating Pamiparib or Olaparib with Concurrent Radiotherapy in Patients with Newly-Diagnosed or Recurrent Glioblastoma. Int J Radiat Oncol Biol Phys 2023; 117:e115. [PMID: 37784657 DOI: 10.1016/j.ijrobp.2023.06.898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study evaluates the pharmacokinetic (PK) and pharmacodynamic (PD) profiles and clinical efficacy of PARP1/2 selective inhibitors, pamiparib and olaparib, in newly-diagnosed or recurrent glioblastoma (GBM) patients in combination with radiotherapy (RT). MATERIALS/METHODS In this combined phase 0/2 trial presumed newly-diagnosed (Arm A) or recurrent (Arm B) GBM patients received 4 days of pamiparib (60 mg BID) prior to resection either 2-4 or 8-12 hours following the final dose. Arm C enrolled patients with recurrent GBM to 4 days of olaparib (200 mg BID) prior to resection. Enhancing and nonenhancing tumor tissue, cerebrospinal fluid (CSF) and plasma were collected. Total and unbound drug concentrations were measured using validated LC-MS/MS methods. A PK 'trigger', defined as unbound drug and gt; 5-fold biochemical IC 50 in nonenhancing tumor, determined eligibility for the therapeutic expansion phase 2. PARP inhibition was assessed via ex vivo radiation and quantification of PAR levels compared to non-radiated control. Newly-diagnosed MGMT unmethylated GBMs and recurrent GBMs exceeding the PK threshold were eligible for an expansion phase of pamiparib (Arms A and B) or olaparib (Arm C) with concurrent RT followed by maintenance pamiparib or olaparib. RT was 60 Gy in 30 fractions in newly-diagnosed patients and 40 Gy in 15 fractions in recurrent patients, delivered using volumetric-modulated arc therapy (VMAT). RESULTS A total of 38 patients (Arm A, n = 16; Arm B, n = 16; Arm C, n = 6) were enrolled in the initial phase 0 study. The mean unbound concentrations of pamiparib in nonenhancing tumor region for Arm A and Arm B were 167.3 nM and 109.4 nM respectively, and in Arm C the mean unbound concentration of olaparib was 5.2 nM. All patients in the pamiparib arms (n = 32/32) but only 1 of 6 patients in the olaparib Arm C exceeded the PK threshold. Radiation-induced PAR expression was 2.44-fold in untreated control vs 1.16 in Arm A (p<0.05), 0.85 in Arm B (p<0.01) and 1.11 in Arm C patients, respectively. In Arm A, 11 patients had unmethylated tumors, and of those, 7 patients enrolled in phase 2. In Arm B, 9 of the 16 clinically eligible patients with positive PK results were enrolled in phase 2. At a median follow-up of 8.4 months [range: 1.3-15.7 months], the median progression-free survival (PFS) was 5.4, 6.0, and 3.8 months for Arms A (n = 7), B (n = 9), and C (n = 1), respectively. Grade 3+ toxicities related to pamiparib occurred in 4 patients, with 2 adverse events resulting in treatment discontinuation. No grade 3+ toxicities were documented in the olaparib arm. CONCLUSION Pamiparib achieved pharmacologically-relevant concentrations in nonenhancing GBM tissue and suppressed induction of PAR levels ex vivo post-radiation. The majority of patients with MGMT-unmethylated GBM advanced to the phase 2 portion of the trial, and pamiparib was generally well-tolerated in these patients.
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Affiliation(s)
- W R Kennedy
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - Y W Chang
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - J Jiang
- Wayne State University, Detroit, MI
| | - J Molloy
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | | | - J Harmon
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - A Hong
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - J Wanebo
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - K Braun
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - M A Garcia
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - I J Barani
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - W Yoo
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - A Tovmasyan
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - A C Tien
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - J Li
- Wayne State University, Detroit, MI
| | - S Mehta
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - N Sanai
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
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Veeraraghavan H, Jiang J, Jee J, Lebow ES, Deasy JO, Rimner A, Shaverdian N, Yu H, Gomez DR. AI Serial Image Prediction of Progression-Free Survival (PFS) for Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC) Patients Treated with Chemoradiation (CRT) and Durvalumab Consolidation. Int J Radiat Oncol Biol Phys 2023; 117:e68. [PMID: 37786001 DOI: 10.1016/j.ijrobp.2023.06.796] [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) Patient outcomes with definitive CRT for LA-NSCLC remain poor, with no imaging biomarkers to predict benefit. Hence, we developed a serial image AI model using paired planning CT (pCT) and first week cone-beam CT (CBCT) to predict PFS and measured AI model fairness defined as the bias in the classification with respect to gender as a protected attribute. MATERIALS/METHODS Sixty-four consecutive patients with LA-NSCLC treated with concurrent CRT to 60 Gy in 30 fractions and durvalumab consolidation were analyzed. Three prediction models were created. A previously developed AI image foundation model [1] was pre-trained with unlabeled 6,402 3D CT scans sourced from institutional and the Cancer Imaging Archive and modified to predict PFS as a binarized outcome (high PFS > 6 months and low PFS < 6 months) using pCT scans. Serial image AI model was created by adding the first week CBCT scan. The third model measured tumor growth rate (TGR) as relative change in tumor and nodal volume from pCT to CBCT derived using a different published AI model [2]. Association with PFS using univariable and multivariable Cox regression after adjusting for age, gender, planning tumor volume, and smoking status were measured using TGR and the two AI model predictions using a cutoff of > 50% probability for low PFS. AI model fairness metrics area under receiver operating curve (AUROC), precision, sensitivity, and specificity were computed. RESULTS TGR was not associated with PFS on univariate (Hazard ratio [HR] of 1.515, 95% confidence interval [CI] of 0.32 to 7.26, p = 0.60) or multivariate analysis (HR: 1.58, 95% CI: 0.32 to 7.80, p = 0.58) and resulted in a Harrell's C-index of 54.7%. The serial image AI model prediction was associated with PFS in both univariable (HR: 2.12, 95% CI: 1.02 to 4.40, p = 0.045) and multivariable analysis (HR 2.39, 95% CI of 1.09 to 5.25, p = 0.029), and a C-index of 62.5%. The pCT AI model was associated with PFS in univariate (HR 2.06, 95% CI of 1.06 to 4.01, p = 0.034) but not in multivariable analysis (HR 1.89, 95% CI of 0.93 to 3.87, p = 0.08), and a C-index of 59.9%. The serial image AI model reduced the parity in classification compared to pCT AI model indicating higher fairness (Table I). CONCLUSION The multi-image AI model predicted PFS with slightly higher accuracy and resulted in higher fairness than the pCT AI model. These results underscore the potential for incorporating multi-imaging biomarkers to predict treatment response.
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Affiliation(s)
- H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jiang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jee
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - E S Lebow
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - N Shaverdian
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - H Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - D R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
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Zhao Y, Zhou J, Qiu F, Liao X, Jiang J, Chen H, Lin X, Hu Y, He J, Chen J. A deep learning method for foot-type classification using plantar pressure images. Front Bioeng Biotechnol 2023; 11:1239246. [PMID: 37767108 PMCID: PMC10519788 DOI: 10.3389/fbioe.2023.1239246] [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: 06/13/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023] Open
Abstract
Background: Flat foot deformity is a prevalent and challenging condition often leading to various clinical complications. Accurate identification of abnormal foot types is essential for appropriate interventions. Method: A dataset consisting of 1573 plantar pressure images from 125 individuals was collected. The performance of the You Only Look Once v5 (YOLO-v5) model, improved YOLO-v5 model, and multi-label classification model was evaluated for foot type identification using the collected images. A new dataset was also collected to verify and compare the models. Results: The multi-label classification algorithm based on ResNet-50 outperformed other algorithms. The improved YOLO-v5 model with Squeeze-and-Excitation (SE), the improved YOLO-v5 model with Convolutional Block Attention Module (CBAM), and the multilabel classification model based on ResNet-50 achieved an accuracy of 0.652, 0.717, and 0.826, respectively, which is significantly higher than those obtained using the ordinary plantar-pressure system and the standard YOLO-v5 model. Conclusion: These results indicate that the proposed DL-based multilabel classification model based on ResNet-50 is superior in flat foot type detection and can be used to evaluate the clinical rehabilitation status of patients with abnormal foot types and various foot pathologies when more data on patients with various diseases are available for training.
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Affiliation(s)
- Yangyang Zhao
- School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Jiali Zhou
- School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Fei Qiu
- Department of Rehabilitation, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Xuying Liao
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
| | - Jianhua Jiang
- Department of Rehabilitation, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Heqing Chen
- Department of Rehabilitation, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Xiaomei Lin
- Department of Rehabilitation, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Yiqun Hu
- Department of Gastroenterology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Jianquan He
- Department of Rehabilitation, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Jian Chen
- Department of Rehabilitation, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
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Wu X, Wu F, Jiang J, Yang L, He WW, Li N, Zhang K, Chen L, Ren SF, Wu J. [Comparison of long-term clinical outcomes between transvaginal mesh and pelvic floor reconstruction with native tissue repair in the treatment of advanced pelvic organ prolapse]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:595-602. [PMID: 37599257 DOI: 10.3760/cma.j.cn112141-20230316-00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objective: To study the long-term clinical effect of transvaginal mesh (TVM) and pelvic floor reconstruction with native tissue repair (NTR) in the treatment of advanced pelvic organ prolapse (POP). Methods: Totally 207 patients with advanced POP who were treated in Hunan Provincial Maternal and Child Health Care Hospital from Jan. 2016 to Sep. 2019 were enrolled. The patient's pelvic organ prolapse quantification were all at degree Ⅲ or above, and they all complained for different degree of symptoms. They were divided into two groups according to the different surgical methods, TVM group and NTR group. In TVM group, the mesh was implanted through the vagina for pelvic floor reconstruction, while in NTR group, the traditional transvaginal hysterectomy combined with uterosacral ligament suspension and anterior and posterior wall repair, as well as perineal body repair were performed. The median follow-up time was 60 months, during the follow up time, 164 cases (79.2%, 164/207) had completed follow-up, including 76 cases in TVM group and 88 cases in NTR group. The perioperative data and complication rates of the two groups were compared, and the subjective and objective outcomes of the two groups at 1, 3 and 5 years were observed, respectively. The objective efficacy was evaluated by three composite criteria, namely: (1) the distance from the farthest end of the prolapse of the anterior and posterior wall of the vagina to the hymen is ≤0 cm, and the descending distance of the top is ≤1/2 of the total length of the vagina; (2) determine the disappearance of relevant POP symptoms according to "Do you often see or feel vaginal mass prolapse?"; (3) no further operation or pessary treatment was performed due to prolapse. If the above three criteria were met at the same time, the operation is successful; otherwise, it was recurrence. The subjective efficacy was evaluated by the pelvic floor distress inventory-short form 20 (PFDI-20) and pelvic floor impact questionnaire-short form 7 (PFIQ-7). Results: The median follow-up time of the two groups was 60 months (range: 41-82 months). Five years after the operation, the subjective and objective cure rates of TVM group were 89.5% (68/76) and 94.7% (72/76), respectively. The subjective and objective cure rates in NTR group were 80.7% (71/88) and 85.2% (75/88), respectively. There were significant differences in the subjective and objective cure rates between the two groups (χ2=9.869, P=0.002; χ2=3.969, P=0.046). The recurrence rate of TVM group was 5.3% (4/76), and that of NTR group was 14.8% (13/88). There was a significant difference between the two groups (P=0.046). The postoperative PFDI-20 and PFIQ-7 scores of the two groups were significantly lower than those before surgery, and there were significant differences of the two groups before and after surgery (all P<0.05). Postoperative mesh exposure in TVM group was 1.3% (1/76). Conclusions: The long-term outcomes between the two groups show that the subjective and objective outcomes of pelvic floor reconstruction in TVM group are significantly higher than those in NTR group, and the recurrence rate is significantly lower than that in NTR group. TVM has certain advantages in the treatment of advanced POP.
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Affiliation(s)
- X Wu
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - F Wu
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - J Jiang
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - L Yang
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - W W He
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - N Li
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - K Zhang
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - L Chen
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - S F Ren
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - J Wu
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
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Tang HL, Jiang J, Yu WN, Zhao LL, Fan Q, Wang FY, Pan XH. [A clustered epidemic investigation of non-marital non-commercial heterosexual contact of HIV in Zhejiang Province]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1270-1275. [PMID: 37661620 DOI: 10.3760/cma.j.cn112338-20230203-00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Objective: To identify the transmission relationship between HIV infection cases the non-marital non-commercial heterosexual contact in Zhejiang Province. Methods: When HIV positive was informed during January 2020 to January 2022, the staff conducted an epidemiological investigation to collect cases information on sociodemographic characteristics, mobility information, past HIV testing history, high-risk sexual behaviors, sexual partners, and etcetera. At the same time, 6-8 ml of blood from the new diagnosis of people infected with HIV before antiviral treatment was collected to separate the bleeding plasma. pol gene was amplified by nucleic acid extraction and PCR, sequenced by Sequencer 5.0 software, and Cytoscape 3.6.0 software was used to draw HIV molecular transmission network. Results: From January 2020 to January 2022, 88 HIV infected individuals were found in Pujiang County, of which 74 were transmitted through heterosexual transmission, of which 31 were infected through non-marital non-commercial heterosexual contact. Preliminary case studies have found that three female cases have engaged in unprotected non-marital non-commercial heterosexual contact with one male case. Among the 4 infected individuals, 2 of their spouses tested positive for HIV antibodies. Molecular transmission network monitoring was carried out on 65 newly diagnosed cases of heterosexual transmission with acquired sequences, forming 9 transmission clusters. The largest cluster contained 10 cases. A total of 11 HIV-infected individuals were involved in this HIV cluster epidemic. They were 3 males and 8 females, all over 50 years old and were farmers or rural housewives. They were traced to 7 sexual partners (6 negatives of HIV, 1 undetected). Among the 18 respondents' sexual social network relationships, there were 6 couples, 8 permanent partners, and 3 temporary partners. Among 11 HIV infected individuals, there were 9 cases of non-marital non-commercial heterosexual transmission and 2 cases of intramarital transmission. The epidemiological association between 7 non-married non-commercial heterosexual partners and case 2 (56-year-old male farmer), 3 cases confirmed by epidemiological investigation and molecular transmission cluster results, 3 cases confirmed by molecular transmission cluster and epidemiological investigation results, and 1 case confirmed by epidemiological investigation results. Conclusions: The transmission mode of this cluster epidemic was to spread HIV through heterosexual sex with a male case as the core, then cause the transmission within marriage and between fixed sexual partners. The combination of epidemiological investigation and molecular transmission network traceability survey supports the conclusion of this study.
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Affiliation(s)
- H L Tang
- Jinhua Center for Disease Control and Prevention, Jinhua 321002, China Zhejiang Association of STD/AIDS Prevention and Control, Hangzhou 310051, China
| | - J Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - W N Yu
- Pujiang County Center for Disease Control and Prevention of Zhejiang Province, Pujiang 322200, China
| | - L L Zhao
- Pujiang County Center for Disease Control and Prevention of Zhejiang Province, Pujiang 322200, China
| | - Q Fan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - F Y Wang
- Jinhua Center for Disease Control and Prevention, Jinhua 321002, China Zhejiang Association of STD/AIDS Prevention and Control, Hangzhou 310051, China
| | - X H Pan
- Zhejiang Association of STD/AIDS Prevention and Control, Hangzhou 310051, China Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
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Xie XJ, Chen JY, Jiang J, Duan H, Wu Y, Zhang XW, Yang SJ, Zhao W, Shen SS, Wu L, He B, Ding YY, Luo H, Liu SY, Han D. [Development and validation of prognostic nomogram for malignant pleural mesothelioma]. Zhonghua Zhong Liu Za Zhi 2023; 45:415-423. [PMID: 37188627 DOI: 10.3760/cma.j.cn12152-20211124-00871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Objective: To development the prognostic nomogram for malignant pleural mesothelioma (MPM). Methods: Two hundred and ten patients pathologically confirmed as MPM were enrolled in this retrospective study from 2007 to 2020 in the People's Hospital of Chuxiong Yi Autonomous Prefecture, the First and Third Affiliated Hospital of Kunming Medical University, and divided into training (n=112) and test (n=98) sets according to the admission time. The observation factors included demography, symptoms, history, clinical score and stage, blood cell and biochemistry, tumor markers, pathology and treatment. The Cox proportional risk model was used to analyze the prognostic factors of 112 patients in the training set. According to the results of multivariate Cox regression analysis, the prognostic prediction nomogram was established. C-Index and calibration curve were used to evaluate the model's discrimination and consistency in raining and test sets, respectively. Patients were stratified according to the median risk score of nomogram in the training set. Log rank test was performed to compare the survival differences between the high and low risk groups in the two sets. Results: The median overall survival (OS) of 210 MPM patients was 384 days (IQR=472 days), and the 6-month, 1-year, 2-year, and 3-year survival rates were 75.7%, 52.6%, 19.7%, and 13.0%, respectively. Cox multivariate regression analysis showed that residence (HR=2.127, 95% CI: 1.154-3.920), serum albumin (HR=1.583, 95% CI: 1.017-2.464), clinical stage (stage Ⅳ: HR=3.073, 95% CI: 1.366-6.910) and the chemotherapy (HR=0.476, 95% CI: 0.292-0.777) were independent prognostic factors for MPM patients. The C-index of the nomogram established based on the results of Cox multivariate regression analysis in the training and test sets were 0.662 and 0.613, respectively. Calibration curves for both the training and test sets showed moderate consistency between the predicted and actual survival probabilities of MPM patients at 6 months, 1 year, and 2 years. The low-risk group had better outcomes than the high-risk group in both training (P=0.001) and test (P=0.003) sets. Conclusion: The survival prediction nomogram established based on routine clinical indicators of MPM patients provides a reliable tool for prognostic prediction and risk stratification.
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Affiliation(s)
- X J Xie
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - J Y Chen
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Kunming 650106, China
| | - J Jiang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - H Duan
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Y Wu
- Department of Radiology, Chuxiong People's Hospital, Chuxiong 675099, China
| | - X W Zhang
- Department of Radiology, Chuxiong People's Hospital, Chuxiong 675099, China
| | - S J Yang
- Department of Thoracic Surgery, Chuxiong People's Hospital, Chuxiong 675099, China
| | - W Zhao
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - S S Shen
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - L Wu
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - B He
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Y Y Ding
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Kunming 650106, China
| | - H Luo
- Deputy President's Office, Chuxiong People's Hospital, Chuxiong 675099, China
| | - S Y Liu
- GE Healthcare (China), Beijing 100176, China
| | - D Han
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
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Zhang L, Wang S, Qiu L, Jiang J, Jiang J, Zhou Y, Ding D, Fang Q. Effects of silent brain infarction on the hemorrhagic transformation and prognosis in patients with acute ischemic stroke after intravenous thrombolysis. Front Neurol 2023; 14:1147290. [PMID: 37251227 PMCID: PMC10212719 DOI: 10.3389/fneur.2023.1147290] [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: 01/25/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023] Open
Abstract
Background Silent brain infarction (SBI) is a special type of stroke with no definitive time of onset, which can be found on pre-thrombolysis imaging examination in some patients with acute ischemic stroke (AIS). However, the significance of SBI on intracranial hemorrhage transformation (HT) and clinical outcomes after intravenous thrombolysis therapy (IVT) is uncertain. We aimed to explore the effects of SBI on intracranial HT and the 3-month clinical outcome in patients with AIS after IVT. Methods We consecutive collected patients who were diagnosed with ischemic stroke and received IVT from August 2016 to August 2022, and conducted a retrospective analysis in this study. The clinical and laboratory data were obtained from hospitalization data. Patients were divided into SBI and Non-SBI groups based on clinical and neuroimaging data. We use Cohen's Kappa to assess the interrater reliability between the two evaluators, and multivariate logistic regression analysis was used to further assess the association between SBI, HT and clinical outcomes at 3 months after IVT. Results Of the 541 patients, 231 (46.1%) had SBI, 49 (9.1%) had HT, 438 (81%) had favorable outcome, 361 (66.7%) had excellent outcome. There was no significant difference in the incidence of HT (8.2 vs. 9.7%, p = 0.560) and favorable outcome (78.4% vs. 82.9%, p = 0.183) between patients with SBI and Non-SBI. However, patients with SBI had a lower incidence of excellent outcome than the patients with Non-SBI (60.2% vs. 71.6%%, p = 0.005). After adjustment for major covariates, multivariate logistic regression analysis disclosed that SBI was independently associated with the increased risk of worse outcome (OR = 1.922, 95%CI: 1.229-3.006, p = 0.004). Conclusion We found that SBI was no effect for HT after thrombolysis in ischemic stroke patients, and no effect on favorable functional outcome at 3 months. Nevertheless, SBI remained an independent risk factor for non-excellent functional outcomes at 3 months.
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Affiliation(s)
- Lulu Zhang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shan Wang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lanfeng Qiu
- Department of Emergency, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Juean Jiang
- Department of General Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jianhua Jiang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yun Zhou
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Dongxue Ding
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
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Zheng P, Jiang J, Li L, Wei L, Li J, Jin L. Circ_SATB2 knockdown inhibits the tumorigenesis of non-small cell lung cancer via miR-760/KIF2A axis. Histol Histopathol 2023; 38:431-441. [PMID: 36196919 DOI: 10.14670/hh-18-530] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Abstract
PURPOSE This study was aimed at exploring the function and underlying mechanism of circ_SATB2 in non-small cell lung cancer (NSCLC). METHODS The levels of circ_SATB2, microRNA-760 (miR-760) and Kinesin family member 2a (KIF2A) were determined using quantitative real-time polymerase chain reaction or western blot assay. The proliferation was detected using MTT and colony formation assays. Cell cycle and apoptosis were evaluated by flow cytometry. Transwell assay for migration and invasion and western blot for metastasis-associated proteins were conducted. Dual-luciferase reporter assay was used to analyze the interaction between miR-760 and circ_SATB2 or KIF2A. The effect of circ_SATB2 on NSCLC tumor growth in vivo was studied by xenograft mice model. RESULTS Circ_SATB2 was upregulated in NSCLC tissues and cells. Circ_SATB2 knockdown caused inhibitory effects on NSCLC cell proliferation and metastasis but accelerated apoptosis. Circ_SATB2 served as a sponge of miR-760 to act in the development of NSCLC. Moreover, miR-760 could target KIF2A, and KIF2A expression was positively regulated by circ_SATB2. Furthermore, KIF2A overexpression neutralized miR-760-mediated inhibition effects on NSCLC cell progression. Besides, circ_SATB2 enhanced NSCLC tumorigenesis by targeting miR-760/KIF2A axis in vivo. CONCLUSION Circ_SATB2 was highly expressed and participated in the progression of NSCLC through the modulation of the miR-760/KIF2A axis, suggesting that circ_SATB2 might be a potential biomarker for the diagnosis of NSCLC.
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Affiliation(s)
- Pengchao Zheng
- Cardio-Thoracic Surgery, Jing Men NO.2 People's Hospital, Jingchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, China
| | - Jianhua Jiang
- Cardio-Thoracic Surgery, Jing Men NO.2 People's Hospital, Jingchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, China
| | - Lei Li
- Cardio-Thoracic Surgery, Jing Men NO.2 People's Hospital, Jingchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, China
| | - Liang Wei
- Cardio-Thoracic Surgery, Jing Men NO.2 People's Hospital, Jingchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, China
| | - Jie Li
- Cardio-Thoracic Surgery, Jing Men NO.2 People's Hospital, Jingchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, China
| | - Ling Jin
- Cardio-Thoracic Surgery, Jing Men NO.2 People's Hospital, Jingchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, China.
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Chen H, Lin M, Jiang J, Liu M, Lai Z, Luo Y, Ye H, Chen H, Yang Z. 25P Furmonertinib plus icotinib for first-line treatment of EGFR-mutated non-small cell lung cancer. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00279-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Jiang J, Jain P, Adji A, Barua S, Hayward C. Afterload and LV Function, but Not Circuit Flow, Determine LV Filling Pressure During VA-ECMO. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1529] [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: 04/05/2023] Open
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Jiang J, Jain P, Adji A, Barua S, Hayward C. Determinants of LV Filling Pressure During ECPR with VA-ECMO: A Mock Circulatory Loop Study. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.738] [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: 04/05/2023] Open
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Zhang H, Jiang J, He X, Zhou Q. Circ_0002111/miR-134-5p/FSTL1 signal axis regulates tumor progression and glycolytic metabolism in papillary thyroid carcinoma cells. J Endocrinol Invest 2023; 46:713-725. [PMID: 36227499 DOI: 10.1007/s40618-022-01921-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 09/11/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Circular RNAs (circRNAs) have essential roles in the malignant progression of papillary thyroid carcinoma (PTC). Circ_0002111 was reported to facilitate cell proliferation and invasion abilities in PTC. This study was performed to explore the regulatory mechanism of circ_0002111 in PTC progression. METHODS Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used for the level detection of circ_0002111, microRNA-134-5p (miR-134-5p) and Follistatin Like 1 (FSTL1). Cell proliferation was assessed by 3-(4, 5-dimethylthiazol-2-y1)-2, 5-diphenyl tetrazolium bromide (MTT) assay, EdU assay and colony formation assay. Cell migration ability was determined by transwell assay. Glycolysis was analyzed by extracellular acidification rate (ECAR), oxygen consumption rate (OCR), glucose consumption and lactate production. The protein quantification was performed through western blot. Xenograft tumor assay was used for the functional analysis of circ_0002111 in vivo. The target interaction was confirmed by dual-luciferase reporter assay and RNA pull-down assay. RESULTS The significant upregulation of circ_0002111 was detected in PTC samples and cells. PTC cell proliferation, migration and glycolytic metabolism were suppressed after circ_0002111 downregulation. PTC tumorigenesis in vivo was also inhibited by circ_0002111 knockdown. In addition, circ_0002111 could target miR-134-5p and si-circ_0002111#1-induced inhibition of PTC progression was relieved by miR-134-5p expression downregulation. Furthermore, FSTL1 was a target gene for miR-134-5p and miR-134-5p served as a tumor repressor in PTC by targeting FSTL1. Moreover, circ_0002111 could increase the FSTL1 level via sponging miR-134-5p. CONCLUSION All results indicated that circ_0002111 promoted the malignant behaviors of PTC cells partly by regulating the miR-134-5p/FSTL1 molecular network.
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Affiliation(s)
- H Zhang
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China
| | - J Jiang
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China
| | - X He
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China
| | - Q Zhou
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China.
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Wang DY, Jiang J, Zhao KK. [HBV infection: antiviral therapy for viral replication]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:316-318. [PMID: 37137860 DOI: 10.3760/cma.j.cn501113-20220328-00147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Affiliation(s)
- D Y Wang
- Department of Infectious Diseases, the First Affiliated Hospital of Ningbo University, Ningbo 315020, China
| | - J Jiang
- Department of Infectious Diseases, the First Affiliated Hospital of Ningbo University, Ningbo 315020, China
| | - K K Zhao
- Department of Infectious Diseases, the First Affiliated Hospital of Ningbo University, Ningbo 315020, China
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Mu N, Rezaeitaleshmahalleh M, Lyu Z, Wang M, Tang J, Strother CM, Gemmete JJ, Pandey AS, Jiang J. Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms? Biomed Phys Eng Express 2023; 9:037001. [PMID: 36626819 PMCID: PMC9999353 DOI: 10.1088/2057-1976/acb1b3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/04/2023] [Accepted: 01/10/2023] [Indexed: 01/11/2023]
Abstract
Although applying machine learning (ML) algorithms to rupture status assessment of intracranial aneurysms (IA) has yielded promising results, the opaqueness of some ML methods has limited their clinical translation. We presented the first explainability comparison of six commonly used ML algorithms: multivariate logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), multi-layer perceptron neural network (MLPNN), and Bayesian additive regression trees (BART). A total of 112 IAs with known rupture status were selected for this study. The ML-based classification used two anatomical features, nine hemodynamic parameters, and thirteen morphologic variables. We utilized permutation feature importance, local interpretable model-agnostic explanations (LIME), and SHapley Additive exPlanations (SHAP) algorithms to explain and analyze 6 Ml algorithms. All models performed comparably: LR area under the curve (AUC) was 0.71; SVM AUC was 0.76; RF AUC was 0.73; XGBoost AUC was 0.78; MLPNN AUC was 0.73; BART AUC was 0.73. Our interpretability analysis demonstrated consistent results across all the methods; i.e., the utility of the top 12 features was broadly consistent. Furthermore, contributions of 9 important features (aneurysm area, aneurysm location, aneurysm type, wall shear stress maximum during systole, ostium area, the size ratio between aneurysm width, (parent) vessel diameter, one standard deviation among time-averaged low shear area, and one standard deviation of temporally averaged low shear area less than 0.4 Pa) were nearly the same. This research suggested that ML classifiers can provide explainable predictions consistent with general domain knowledge concerning IA rupture. With the improved understanding of ML algorithms, clinicians' trust in ML algorithms will be enhanced, accelerating their clinical translation.
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Affiliation(s)
- N Mu
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - M Rezaeitaleshmahalleh
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - Z Lyu
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - M Wang
- Department of Management Science and Statistics, The University of Texas at San Antonio, San Antonino, TX, United States of America
| | - J Tang
- Department of Health Administration and Policy, George Mason University, Fairfax, VA, United States of America
| | - C M Strother
- Department of Radiology, University of Wisconsin, Madison, WI, United States of America
| | - J J Gemmete
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - A S Pandey
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States of America
| | - J Jiang
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
- Center for Biocomputing and Digital Health, Health Research Institute and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, United States of America
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Jiang J, Liang P, Li A, Xue Q, Yu H, You Z. Synthesis, Crystal Structures and Urease Inhibition of Zinc(II) and Copper(II) Complexes Derived from 2-Amino-N′-(1-(Pyridin-2-yl) Ethylidene)Benzohydrazide. J STRUCT CHEM+ 2023. [DOI: 10.1134/s0022476623030034] [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: 04/08/2023]
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Cheng X, Zhou M, Jiang J, Zhu S, Fang Q, Liu M. Features of MRI honeycomb edema signals in cancer-associated dermatomyositis patients: a brief report. Clin Rheumatol 2023; 42:801-806. [PMID: 36155870 DOI: 10.1007/s10067-022-06382-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/22/2022] [Accepted: 09/16/2022] [Indexed: 11/25/2022]
Abstract
Dermatomyositis (DM) is an autoimmune inflammatory disease that is a possible paraneoplastic phenomenon. The aim of this study was to explore the difference in thigh MRI findings between DM patients with and without cancer to further assist clinicians in the early discovery of underlying malignancy. Thigh muscle MRI with T2 fs/STIR images obtained from 47 patients diagnosed with DM at a single center were retrospectively assessed for the involvement of muscle compartments, as well as the pattern and distribution of the edema signal. Among 47 patients, 14 had cancer within three years of DM diagnosis. Honeycomb edema signals were more frequently observed in cancer patients (10 in the cancer group, 11 in the noncancer group, p = 0.020), while foggy signals were not found in cancer patients. Among patients with honeycomb signals, we found that cancer patients had a relatively longer disease duration (p = 0.012), lower creatine kinase levels (p = 0.011), and barely showed adductor involvement (p = 0.016). Logistic regression analysis identified honeycomb edema signals in the quadriceps without adductor involvement as an independent risk factor for having cancer in DM patients. Honeycomb pattern edema signals showed in quadriceps but not adductors on thigh muscle MRI STIR/T2 fs sequence were more frequently found in cancer-associated DM patients. Key points • MRI honeycomb edema signals in the quadriceps without adductor involvement may be a predictor for underlying cancer in DM patients.
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Affiliation(s)
- Xiaoxiao Cheng
- The First Affiliated Hospital of Soochow University, No.899 Pinghai Road, Suzhou, Jiangsu Province, China
| | - Meichen Zhou
- The First Affiliated Hospital of Soochow University, No.899 Pinghai Road, Suzhou, Jiangsu Province, China
| | - Jianhua Jiang
- The First Affiliated Hospital of Soochow University, No.899 Pinghai Road, Suzhou, Jiangsu Province, China
| | - Sijia Zhu
- The First Affiliated Hospital of Soochow University, No.899 Pinghai Road, Suzhou, Jiangsu Province, China
| | - Qi Fang
- The First Affiliated Hospital of Soochow University, No.899 Pinghai Road, Suzhou, Jiangsu Province, China.
| | - Meirong Liu
- The First Affiliated Hospital of Soochow University, No.899 Pinghai Road, Suzhou, Jiangsu Province, China.
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Pan S, Wang F, Jiang J, Lin Z, Chen Z, Cao T, Yang L. Chimeric Antigen Receptor-Natural Killer Cells: A New Breakthrough in the Treatment of Solid Tumours. Clin Oncol (R Coll Radiol) 2023; 35:153-162. [PMID: 36437159 DOI: 10.1016/j.clon.2022.10.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 09/30/2022] [Accepted: 10/26/2022] [Indexed: 11/25/2022]
Abstract
Natural killer (NK) cells can quickly and directly eradicate tumour cells without recognising tumour-specific antigens. NK cells also participate in immune surveillance, which arouses great interest in the development of novel cancer therapies. The chimeric antigen receptor (CAR) family is composed of receptor proteins that give immune cells extra capabilities to target specific antigen proteins or enhance their killing effects. CAR-T cell therapy has achieved initial success in haematological tumours, but is prone to adverse reactions, especially with cytokine release syndrome in clinical applications. Currently, CAR-NK cell therapy has been shown to successfully kill haematological tumour cells with allogeneic NK cells in clinical trials without adverse reactions, proving its potential to become an off-the-shelf product with broad clinical application prospects. Meanwhile, clinical trials of CAR-NK cells for solid tumours are currently underway. Here we will focus on the latest advances in CAR-NK cells, including preclinical and clinical trials in solid tumours, the advantages and challenges of CAR-NK cell therapy and new strategies to improve the safety and efficacy of CAR-NK cell therapy.
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Affiliation(s)
- S Pan
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China; The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - F Wang
- Department of Orthopedic Surgery, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine
| | - J Jiang
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Z Lin
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Z Chen
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
| | - T Cao
- Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - L Yang
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China; The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
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37
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Dang X, Jing C, Zhang M, Li X, Xu Q, Hu C, Li Y, Zhang Y, Wang D, Hong D, Jiang J. A new allele PEL9 GG identified by genome-wide association study increases panicle elongation length in rice ( Oryza sativa L.). Front Plant Sci 2023; 14:1136549. [PMID: 36875592 PMCID: PMC9978329 DOI: 10.3389/fpls.2023.1136549] [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] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Considering the male sterile line has the phenomenon of panicle enclosure, panicle elongation length (PEL) plays an important role in hybrid rice seed production. However, the molecular mechanism underlying this process is poorly understood. In this study, we investigated the PEL phenotypic values of 353 rice accessions across six environments, which shows abundant phenotypic variation. Combining the 1.3 million single-nucleotide polymorphisms, we performed a genome-wide association study on PEL. Three quantitative trait loci (QTL) qPEL4, qPEL6, and qPEL9 were identified as significantly associated with PEL, of which qPEL4 and qPEL6 were previously reported QTLs and qPEL9 was novel. One causal gene locus, PEL9, was identified and validated. The PEL of accessions carrying allele PEL9 GG was significantly longer than that of those carrying allele PEL9 TT. We also demonstrated that the outcrossing rate of female parents carrying allele PEL9 GG increased by 14.81% compared with that of the isogenic line carrying allele PEL9 TT in an F1 hybrid seed production field. The allele frequency of PEL9GG increased gradually with an increase in latitude in the Northern Hemisphere. Our results should facilitate the improvement of the PEL of the female parent of hybrid rice.
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Affiliation(s)
- Xiaojing Dang
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Chunyu Jing
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Mengyuan Zhang
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Xinru Li
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Qing Xu
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Changmin Hu
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Yulong Li
- Institute of Crop Research, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Ying Zhang
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Dezheng Wang
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Delin Hong
- National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, China
| | - Jianhua Jiang
- Institute of Rice Research, Anhui Academy of Agricultural Sciences, Hefei, China
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38
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Du J, Jiang J, Wang H, Zuo Y, Sun J. Effect of clay supplementation on growth performance of broiler chickens: a systematic review and meta-analysis. Br Poult Sci 2023:1-11. [PMID: 36607319 DOI: 10.1080/00071668.2022.2160625] [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: 01/07/2023]
Abstract
1. This review assessed the effect of dietary clay supplementation as a drug and toxin adsorbent on broiler growth performance as a meta-analysis.2. A total of 33 eligible studies were included in the present study after identification and evaluation from online databases. Standardised mean differences (SMD) with corresponding 95% confidence intervals were computed with a fixed-effects model.3. The results indicated that clay supplementation significantly improved broiler daily gain (P < 0.001) and feed conversion ratio (P < 0.001), but did not affect feed intake (P = 0.954). Results of subgroup analysis showed that zeolite clay had the most stable medium improvement effect on FCR, while kaolin had a large effect. In addition, male broilers and Cobb or Ross broilers were more sensitive to the addition of clay, and the best supplemental levels, in general, were 10 g/kg to 30 g/kg.4. Meta-regression analysis showed that clay supplemental level and sex of broilers may be important factors in the effect of clay on ADG and FCR of broilers, respectively. The sensitivity analysis showed high stability of the results and no significant publication bias was found with funnel plot analysis and Egger's or Begg's test (P > 0.05).5. In conclusion, an appropriate addition level is a prerequisite for effective clay application. Kaolin and zeolite clays seem to be more suitable for enhancing broiler growth performance, and the value of clay is amplified in specific broiler breeds.
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Affiliation(s)
- J Du
- Research and Development Centre, Research Centre of Nanjing Well Pharmaceutical Group Co. LTD, Nanjing, China
| | - J Jiang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - H Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Y Zuo
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
| | - J Sun
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
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Lin Z, Wang H, Song J, Xu G, Lu F, Ma X, Xia X, Jiang J, Zou F. The role of mitochondrial fission in intervertebral disc degeneration. Osteoarthritis Cartilage 2023; 31:158-166. [PMID: 36375758 DOI: 10.1016/j.joca.2022.10.020] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/06/2022] [Accepted: 10/31/2022] [Indexed: 11/13/2022]
Abstract
Low back pain (LBP) is an extremely common disorder and is a major cause of disability globally. Intervertebral disc degeneration (IVDD) is the main contributor to LBP. Nevertheless, the specific mechanisms underlying the pathogenesis of IVDD remain unclear. Mitochondria are highly dynamic organelles that continuously undergo fusion and fission, known as mitochondrial dynamics. Accumulating evidence has revealed that aberrantly activated mitochondrial fission leads to mitochondrial fragmentation and dysfunction, which are involved in the development and progression of IVDD. To date, research into mitochondrial dynamics in IVDD is at an early stage. The present narrative review aims to summarize the most recent findings about the role of mitochondrial fission in the pathogenesis of IVDD.
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Affiliation(s)
- Z Lin
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - H Wang
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - J Song
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - G Xu
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - F Lu
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - X Ma
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - X Xia
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - J Jiang
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - F Zou
- Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
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40
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Zhu S, Ding D, Jiang J, Liu M, Yu L, Fang Q. Case report: Novel ETFDH compound heterozygous mutations identified in a patient with late-onset glutaric aciduria type II. Front Neurol 2023; 14:1087421. [PMID: 36779069 PMCID: PMC9911658 DOI: 10.3389/fneur.2023.1087421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/10/2023] [Indexed: 01/28/2023] Open
Abstract
Glutaric aciduria type II (GA II) is an autosomal recessive metabolic disorder of fatty acid, amino acid, and choline metabolism. The late-onset form of this disorder is caused by a defect in the mitochondrial electron transfer flavoprotein dehydrogenase or the electron transfer flavoprotein dehydrogenase (ETFDH) gene. Thus far, the high clinical heterogeneity of late-onset GA II has brought a great challenge for its diagnosis. In this study, we reported a 21-year-old Chinese man with muscle weakness, vomiting, and severe pain. Muscle biopsy revealed myopathological patterns of lipid storage myopathy, and urine organic acid analyses showed a slight increase in glycolic acid. All the aforementioned results were consistent with GA II. Whole-exome sequencing (WES), followed by bioinformatics and structural analyses, revealed two compound heterozygous missense mutations: c.1034A > G (p.H345R) on exon 9 and c.1448C>A (p.P483Q) on exon 11, which were classified as "likely pathogenic" according to American College of Medical Genetics and Genomics (ACMG). In conclusion, this study described the phenotype and genotype of a patient with late-onset GA II. The two novel mutations in ETFDH were found in this case, which further expands the list of mutations found in patients with GA II. Because of the treatability of this disease, GA II should be considered in all patients with muscular symptoms and acute metabolism decompensation such as hypoglycemia and acidosis.
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Affiliation(s)
- Sijia Zhu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Dongxue Ding
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jianhua Jiang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Meirong Liu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Liqiang Yu
- Department of General Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China,*Correspondence: Liqiang Yu ✉
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China,Qi Fang ✉
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41
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande. Phys Rev Lett 2023; 130:031802. [PMID: 36763398 DOI: 10.1103/physrevlett.130.031802] [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: 09/30/2022] [Accepted: 11/30/2022] [Indexed: 06/18/2023]
Abstract
We report a search for cosmic-ray boosted dark matter with protons using the 0.37 megaton×years data collected at Super-Kamiokande experiment during the 1996-2018 period (SKI-IV phase). We searched for an excess of proton recoils above the atmospheric neutrino background from the vicinity of the Galactic Center. No such excess is observed, and limits are calculated for two reference models of dark matter with either a constant interaction cross section or through a scalar mediator. This is the first experimental search for boosted dark matter with hadrons using directional information. The results present the most stringent limits on cosmic-ray boosted dark matter and exclude the dark matter-nucleon elastic scattering cross section between 10^{-33}cm^{2} and 10^{-27}cm^{2} for dark matter mass from 1 MeV/c^{2} to 300 MeV/c^{2}.
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Affiliation(s)
- K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Hayato
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Hiraide
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Ieki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - J Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Kanemura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - R Kaneshima
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Kashiwagi
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Miki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - S Mine
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - M Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - M Nakahata
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Nakayama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Noguchi
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Okamoto
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Sato
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - H Sekiya
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - H Shiba
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Shimizu
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - M Shiozawa
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Suzuki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Takemoto
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Takenaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - H Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Watanabe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - T Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - S Han
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - T Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Okumura
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - T Tashiro
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - T Tomiya
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - X Wang
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - J Xia
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - S Yoshida
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - G D Megias
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - P Fernandez
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - L Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - N Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - B Zaldivar
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - B W Pointon
- Department of Physics, British Columbia Institute of Technology, Burnaby, British Columbia V5G 3H2, Canada
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - E Kearns
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - J L Raaf
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - L Wan
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - T Wester
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - J Bian
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - N J Griskevich
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - W R Kropp
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - S Locke
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - M B Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - H W Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - V Takhistov
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Yankelevich
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - J Hill
- Department of Physics, California State University, Dominguez Hills, Carson, California 90747, USA
| | - R G Park
- Institute for Universe and Elementary Particles, Chonnam National University, Gwangju 61186, Korea
| | - B Bodur
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
| | - K Scholberg
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - C W Walter
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - L Bernard
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A Coffani
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - O Drapier
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - S El Hedri
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A Giampaolo
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - Th A Mueller
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A D Santos
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - P Paganini
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - B Quilain
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - T Ishizuka
- Junior College, Fukuoka Institute of Technology, Fukuoka, Fukuoka 811-0295, Japan
| | - T Nakamura
- Department of Physics, Gifu University, Gifu, Gifu 501-1193, Japan
| | - J S Jang
- GIST College, Gwangju Institute of Science and Technology, Gwangju 500-712, Korea
| | - J G Learned
- Department of Physics and Astronomy, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Choi
- Institute for Basic Science (IBS), Daejeon 34126, Korea
| | - S Cao
- Institute For Interdisciplinary Research in Science and Education, ICISE, Quy Nhon 55121, Vietnam
| | - L H V Anthony
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - D Martin
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - M Scott
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - A A Sztuc
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - Y Uchida
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - V Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - M G Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - E Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - N F Calabria
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - L N Machado
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - G De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - G Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - F Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - M Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - M Mattiazzi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - L Ludovici
- INFN Sezione di Roma and Università di Roma "La Sapienza," I-00185, Roma, Italy
| | - M Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
| | - G Pronost
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
| | - C Fujisawa
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - Y Maekawa
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - Y Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - M Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - M Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - K Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - K Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Boschi
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - F Di Lodovico
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - J Gao
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - A Goldsack
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - T Katori
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - J Migenda
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - M Taani
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - S Zsoldos
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Kotsar
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - H Ozaki
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A T Suzuki
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - Y Takeuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - C Bronner
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - J Feng
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - T Kikawa
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - M Mori
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - T Nakaya
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - R A Wendell
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Yasutome
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - S J Jenkins
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - N McCauley
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - P Mehta
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - K M Tsui
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - Y Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Miyagi 980-0845, Japan
| | - Y Itow
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - H Menjo
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - K Ninomiya
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - J Lagoda
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - S M Lakshmi
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - M Mandal
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - P Mijakowski
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - Y S Prabhu
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - J Zalipska
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - M Jia
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - J Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - C K Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - M J Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - C Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - M Harada
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - H Ishino
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - S Ito
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - H Kitagawa
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - Y Koshio
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - F Nakanishi
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - S Sakai
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - G Barr
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - D Barrow
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - L Cook
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Samani
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - D Wark
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
- STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington OX11 0QX, United Kingdom
| | - F Nova
- Rutherford Appleton Laboratory, Harwell, Oxford OX11 0QX, United Kingdom
| | - J Y Yang
- Department of Physics, Seoul National University, Seoul 151-742, Korea
| | - M Malek
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - J M McElwee
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - O Stone
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - M D Thiesse
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - L F Thompson
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - H Okazawa
- Department of Informatics in Social Welfare, Shizuoka University of Welfare, Yaizu, Shizuoka 425-8611, Japan
| | - S B Kim
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - J W Seo
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - I Yu
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - A K Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - K D Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - S Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - K Nishijima
- Department of Physics, Tokai University, Hiratsuka, Kanagawa 259-1292, Japan
| | - K Iwamoto
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - K Nakagiri
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - Y Nakajima
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - N Taniuchi
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - M Yokoyama
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Martens
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - P de Perio
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M R Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Kuze
- Department of Physics, Tokyo Institute of Technology, Meguro, Tokyo 152-8551, Japan
| | - S Izumiyama
- Department of Physics, Tokyo Institute of Technology, Meguro, Tokyo 152-8551, Japan
| | - M Inomoto
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - M Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - H Ito
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - T Kinoshita
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - R Matsumoto
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - Y Ommura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - N Shigeta
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - M Shinoki
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - T Suganuma
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - K Yamauchi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - J F Martin
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - H A Tanaka
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - T Towstego
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - R Akutsu
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - V Gousy-Leblanc
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - M Hartz
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - A Konaka
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - N W Prouse
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - S Chen
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | - B D Xu
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | - B Zhang
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | | | - D Hadley
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - M Nicholson
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - M O'Flaherty
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - B Richards
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - A Ali
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
- Department of Physics, University of Winnipeg, Manitoba R3J 3L8, Canada
| | - B Jamieson
- Department of Physics, University of Winnipeg, Manitoba R3J 3L8, Canada
| | - Ll Marti
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - A Minamino
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - G Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - S Sano
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - S Suzuki
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - K Wada
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
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Zhong QY, Zhang XY, Luo HH, Jiang X, Zeng XY, Jiang J, Xia HF, Peng Y, Lyu MH, Tang XW. [Analysis of the characteristics of retracted scientific papers in the field of global liver diseases published by Chinese scholars]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:96-100. [PMID: 36948856 DOI: 10.3760/cma.j.cn501113-20210324-00138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
Objective: To analyze the characteristics of scientific papers in the field of global liver diseases published by Chinese scholars that were retracted for diverse reasons from the Retraction Watch database, so as to provide a reference to publishing-related papers. Methods: The Retraction Watch database was retrieved for retracted papers in the field of global liver disease published by Chinese scholars from March 1, 2008 to January 28, 2021. The regional distribution, source journals, reasons for retraction, publication and retraction times, and others were analyzed. Results: A total of 101 retracted papers that were distributed across 21 provinces/cities were retrieved. Zhejiang area (n = 17) had the most retracted papers, followed by Shanghai (n = 14), and Beijing (n = 11). The vast majority were research papers (n = 95). The journal PLoS One had the highest number of retracted papers. In terms of time distribution, 2019 (n = 36) had the most retracted papers. 23 papers, accounting for 8.3% of all retractions, were retracted owing to journal or publisher concerns. Liver cancer (34%), liver transplantation (16%), hepatitis (14%), and others were the main areas of retracted papers. Conclusion: Chinese scholars have a large number of retracted articles in the field of global liver diseases. A journal or publisher chooses to retract a manuscript after investigating and discovering more flawed problems, which, however, require further support, revision, and supervision from the editorial and academic circles.
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Affiliation(s)
- Q Y Zhong
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China Clinical College of South West Medical University, Luzhou 646000, China
| | - X Y Zhang
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China Clinical College of South West Medical University, Luzhou 646000, China
| | - H H Luo
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China Clinical College of South West Medical University, Luzhou 646000, China
| | - X Jiang
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
| | - X Y Zeng
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
| | - J Jiang
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
| | - H F Xia
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
| | - Y Peng
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
| | - M H Lyu
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
| | - X W Tang
- Department of Gastenterology, The Affiliated Hospital of South West Medical University, Luzhou 646000, China
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Yacheur D, Ackermann M, Li T, Kalyanov A, Russomanno E, Mata ADC, Wolf M, Jiang J. Imaging Cerebral Blood Vessels Using Near-Infrared Optical Tomography: A Simulation Study. Adv Exp Med Biol 2023; 1438:203-207. [PMID: 37845462 DOI: 10.1007/978-3-031-42003-0_32] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
Cerebral veins have received increasing attention due to their importance in preoperational planning and the brain oxygenation measurement. There are different modalities to image those vessels, such as magnetic resonance angiography (MRA) and recently, contrast-enhanced (CE) 3D gradient-echo sequences. However, the current techniques have certain disadvantages, i.e., the long examination time, the requirement of contrast agents or inability to measure oxygenation. Near-infrared optical tomography (NIROT) is emerging as a viable new biomedical imaging modality that employs near infrared light (650-950 nm) to image biological tissue. It was proven to easily penetrate the skull and therefore enables the brain vessels to be assessed. NIROT utilizes safe non-ionizing radiation and can be applied in e.g., early detection of neonatal brain injury and ischemic strokes. The aim is to develop non-invasive label-free dynamic time domain (TD) NIROT to image the brain vessels. A simulation study was performed with the software (NIRFAST) which models light propagation in tissue with the finite element method (FEM). Both a simple shape mesh and a real head mesh including all the segmented vessels from MRI images were simulated using both FEM and a hybrid FEM-U-Net network, we were able to visualize the superficial vessels with NIROT with a Root Mean Square Error (RMSE) lower than 0.079.
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Affiliation(s)
- D Yacheur
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - M Ackermann
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - T Li
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - A Kalyanov
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - E Russomanno
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - A Di Costanzo Mata
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - M Wolf
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - J Jiang
- Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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Luo X, Jiang H, Liu XJ, Zhang Z, Deng K, Lin F, Jiang J, Wang YL, Yu J. Base MRI Imaging Characteristics of Meningioma Patients to Discuss the WHO Classification of Brain Invasion Otherwise Benign Meningiomas. Technol Cancer Res Treat 2023; 22:15330338231171470. [PMID: 37264676 DOI: 10.1177/15330338231171470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023] Open
Abstract
PURPOSE Compared and analyzed the MRI imaging features of brain invasion otherwise benign (BIOB) meningiomas and WHO grade 1, grade 2 meningiomas, discussed the WHO grading of BIOB from the perspective of imaging. MATERIALS AND METHODS A retrospective analysis was performed on 675 meningiomas patients who carried on MRI examination from January 2006 to February 2022. Setting the 2022 Central nervous system (CNS) WHO Guidelines as the gold standard for pathological diagnosis. Statistical analysis of age, gender, and MRI features of meningiomas in relation to WHO grade and brain invasion. RESULTS Among 675 cases meningiomas, 543 (80.4%) were WHO grade 1, 123 (18.2%) were WHO grade 2, and 9 (1.3%) were WHO grade 3. There were 108 cases meningiomas with brain invasion (BI) (16.0%) and 567 cases without BI (84.0%). Among BI cases, 67 cases were BIOB. Compared the MRI features between BIOB and WHO grade 1 meningiomas, multivariate analysis demonstrated that the most strongly factors associated with distinguish them were enhancement degree, peritumoral edema, tumor-brain interface, fingerlike protrusion, mushroom sign, and bone invasion (AUC: 0.925 (0.901∼0.945), sensitivity: 0.925, specificity: 0.801). Compared the MRI features between BIOB and WHO grade 2 meningiomas, multivariate analysis demonstrated that the most strongly factors associated with distinguish them were enhancement degree and the tumor-brain interface (AUC: 0.779 (0.686∼0.841), sensitivity: 0.746, specificity: 0.732), their efficacy was slightly weaker. CONCLUSIONS BIOB is more similar to WHO grade 2 meningiomas in clinical and imaging features than WHO grade 1, so we think that it may be reasonable to classify BIOB as WHO Grade 2 meningiomas in the guidelines.
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Affiliation(s)
- Xiao Luo
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hong Jiang
- Faculty of Medicine, Macau university of science and technology, Macau University of Science and Technology, Taipa, Macau, China
| | - X J Liu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Z Zhang
- Faculty of Medicine, Macau university of science and technology, Macau University of Science and Technology, Taipa, Macau, China
| | - K Deng
- Philips Healthcare, China International Center, Guangzhou, China
| | - F Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - J Jiang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Y L Wang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - J Yu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
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Wang X, Jiang J, Hu W, Hu Y, Qin LQ, Hao Y, Dong JY. Dynapenic Abdominal Obesity and Risk of Heart Disease among Middle-Aged and Older Adults: A Prospective Cohort Study. J Nutr Health Aging 2023; 27:752-758. [PMID: 37754215 DOI: 10.1007/s12603-023-1975-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/29/2023] [Indexed: 09/28/2023]
Abstract
OBJECTIVES The vicious cycle of dynapenia and abdominal obesity may have synergistic detrimental impacts on health. We aim to investigate the prospective association between dynapenic abdominal obesity and the risk of heart disease among middle-aged and older adults. DESIGN A prospective cohort study. SETTING English Longitudinal Study of Ageing, 2002-2019. PARTICIPANTS A total of 4734 participants aged 50 years and older were included. MEASUREMENTS Individuals were divided into non-dynapenia/non-abdominal obesity (ND/NAO), non-dynapenia/abdominal obesity (ND/AO), dynapenia/non-abdominal obesity (D/NAO), and dynapenia/abdominal obesity (D/AO) according to grip strength and waist circumference at baseline. The Cox proportional hazards models were used to obtain the hazard ratios (HRs) of incident heart disease associated with dynapenia and abdominal obesity after adjusting for potential confounding factors. RESULTS During a median follow-up of 9.5 years, 1040 cases of heart disease were recorded. Compared with ND/NAO group, the multivariable HRs were 1.05 (0.92, 1.21) for ND/AO group, 1.31 (0.96, 1.81) for D/NAO group, and 1.39 (1.03, 1.88) for D/AO group. The significant association of D/AO with incident heart disease was detected in women but not in men [HR = 1.55 (1.07, 2.24) and 1.06 (0.60, 1.88), respectively]. Among middle-aged adults, significant associations of D/NAO and D/AO with incident heart disease were observed [HR = 2.46 (1.42, 4.29) and 1.74 (1.02, 2.97), respectively]. CONCLUSION Both D/NAO and D/AO might increase the risk of developing heart disease, highlighting the importance of dynapenia and obesity early screening for heart disease prevention.
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Affiliation(s)
- X Wang
- Yuantao Hao, Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China; Tel.: 010-82805061, E-mail: ; Jia-Yi Dong, Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka 5650871, Japan; Tel: 06-6879-3911,
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Ma HR, Zhang ZT, Jiang J, Li FF, Qiu Y. [Current application and prospect of accurate navigation technology in orthopaedic trauma]. Zhonghua Wai Ke Za Zhi 2023; 61:23-28. [PMID: 36603880 DOI: 10.3760/cma.j.cn112139-20220915-00393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
In the past decades,a dramatic development of navigation technology in orthopaedic surgery has been witnessed. By assisting the localization of surgical region,verification of target bony structure,preoperative planning of fixation,intraoperative identification of planned entry point and direction of instruments or even automated insertion of implants,its ability and potential to reduce operation time,intraoperative radiation,surgical trauma,and improve accuracy has been proved. However,in contrast to the widespread use of navigation technology in arthroplasty,orthopaedic tumor,and spine surgery,its application in orthopaedic trauma is relatively less. In this manuscript,the main purpose is to introduce the technical principles of navigation devices,outline the current clinical application of navigation systems in orthopaedic trauma,analyze the current challenges confronting its further application in clinical practice and its prospect in the future.
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Affiliation(s)
- H R Ma
- Department of Orthopaedic, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - Z T Zhang
- Department of Orthopaedic, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - J Jiang
- Department of Orthopaedic, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - F F Li
- Department of Orthopaedic, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - Y Qiu
- Department of Orthopaedic, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
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Song Y, Meng X, Jiang J. Multi-Layer Perception model with Elastic Grey Wolf Optimization to predict student achievement. PLoS One 2022; 17:e0276943. [PMID: 36584034 PMCID: PMC9803241 DOI: 10.1371/journal.pone.0276943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/17/2022] [Indexed: 12/31/2022] Open
Abstract
This study proposes a Grey Wolf Optimization (GWO) variant named Elastic Grey Wolf Optimization algorithm (EGWO) with shrinking, resilient surrounding, and weighted candidate mechanisms. Then, the proposed EGWO is used to optimize the weights and biases of Multi-Layer Perception (MLP), and the EGWO-MLP model for predicting student achievement is thus obtained. The training and verification of the EGWO-MLP prediction model are conducted based on the thirty attributes from the University of California (UCI) Machine Learning Repository dataset's student performance dataset, including family features and personal characteristics. For the Mathematics (Mat.) subject achievement prediction, the EGWO-MLP model outperforms one model's prediction accuracy, and the standard deviation possesses the stable ability to predict student achievement. And for the Portuguese (Por.) subject, the EGWO-MLP outperforms three models' Mathematics (Mat.) subject achievement prediction through the training process and takes first place through the testing process. The results show that the EGWO-MLP model has made fewer test errors, indicating that EGWO can effectively feedback weights and biases due to the strong exploration and local stagnation avoidance. And the EGWO-MLP model is feasible for predicting student achievement. The study can provide reference for improving school teaching programs and enhancing teachers' teaching quality and students' learning effect.
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Affiliation(s)
- Yinqiu Song
- College of Foreign Languages, Wuzhou University, Wuzhou, P. R. China
| | - Xianqiu Meng
- School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, P. R. China
- * E-mail: (XM); (JJ)
| | - Jianhua Jiang
- School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, P. R. China
- * E-mail: (XM); (JJ)
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Shen P, Kong X, Chen G, Jiang J, Yan S, Lu X, He M. 25-Gauge pars plana vitrectomy combined with air tamponade for primary rhegmatogenous retinal detachment. J Int Med Res 2022; 50:3000605221139702. [PMID: 36495193 DOI: 10.1177/03000605221139702] [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: 12/13/2022] Open
Abstract
OBJECTIVE This study was performed to evaluate the outcomes of 25-gauge (25-G) pars plana vitrectomy (PPV) with air tamponade for primary rhegmatogenous retinal detachment (RRD). METHODS This retrospective consecutive case series included 126 eyes of 125 patients with primary RRD who underwent 25-G PPV with air tamponade. The patients were followed up for at least 6 months following surgery. The main outcome measures were the primary and final anatomical success rates and postoperative complications. RESULTS The mean age of the 125 patients (80 men and 45 women) was 53.7 ± 10.0 years. The mean follow-up period was 8.3 ± 2.2 months (range, 6-18 months). Twenty-four eyes (19.0%) presented with high myopia, and 13 eyes (10.3%) were pseudophakic. Of the 126 eyes, 37 (29.4%) had inferior breaks, 2 (1.6%) had choroidal detachment, and 86 (68.3%) had macular detachment. The single- and final-operation success rates were 96.0% and 100%, respectively. Postoperative complications included macular hole formation in two eyes. During follow-up, secondary cataract surgery was performed in 27 (23.9%) of the 113 phakic eyes. CONCLUSION 25-G PPV with air tamponade is effective and safe in treating selected patients with primary RRD with a high anatomical success rate.
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Affiliation(s)
- Peiyang Shen
- Department of Ophthalmology, The Second People's Hospital of Foshan (Affiliated Foshan Hospital of Southern Medical University), Foshan, China.,Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xiangbin Kong
- Department of Ophthalmology, The Second People's Hospital of Foshan (Affiliated Foshan Hospital of Southern Medical University), Foshan, China
| | - Guo Chen
- Department of Ophthalmology, The Second People's Hospital of Foshan (Affiliated Foshan Hospital of Southern Medical University), Foshan, China
| | - Jianhua Jiang
- Department of Ophthalmology, The Second People's Hospital of Foshan (Affiliated Foshan Hospital of Southern Medical University), Foshan, China
| | - Shigang Yan
- Department of Ophthalmology, The Second People's Hospital of Foshan (Affiliated Foshan Hospital of Southern Medical University), Foshan, China
| | - Xiaohe Lu
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Mingguang He
- Centre for Eye Research Australia, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia.,State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
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Garcia-Molina G, Jiang J. Real-time implementation of sleep staging using interbeat intervals. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.813] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Wu X, Dong N, Yu L, Liu M, Jiang J, Tang T, Zhao H, Fang Q. Identification of immune-related features involved in Duchenne muscular dystrophy: A bidirectional transcriptome and proteome-driven analysis. Front Immunol 2022; 13:1017423. [PMID: 36483550 PMCID: PMC9724784 DOI: 10.3389/fimmu.2022.1017423] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/02/2022] [Indexed: 11/23/2022] Open
Abstract
Background We aimed to investigate the biological mechanism and feature genes of Duchenne muscular dystrophy (DMD) by multi-omics and experimental verification strategy. Methods We integrated the transcriptomic and proteomic methods to find the differentially expressed mRNAs (DEMs) and proteins (DEPs) between DMD and Control groups. Weighted gene co-expression network analysis (WGCNA) was then used to identify modules of highly correlated genes and hub genes. In the following steps, the immune and stromal cells infiltrations were accomplished by xCELL algorithm. Furthermore, TF and miRNA prediction were performed with Networkanalyst. ELISA, western blot and external datasets were performed to verify the key proteins/mRNAs in DMD patient and mouse. Finally, a nomogram model was established based on the potential biomarkers. Results 4515 DEMs and 56 DEPs were obtained from the transcriptomic and proteomic study respectively. 14 common genes were identified, which is enriched in muscle contraction and inflammation-related pathways. Meanwhile, we observed 33 significant differences in the infiltration of cells in DMD. Afterwards, a total of 22 miRNAs and 23 TF genes interacted with the common genes, including TFAP2C, MAX, MYC, NFKB1, RELA, hsa-miR-1255a, hsa-miR-130a, hsa-miR-130b, hsa-miR-152, and hsa-miR-17. In addition, three genes (ATP6AP2, CTSS, and VIM) showed excellent diagnostic performance on discriminating DMD in GSE1004, GSE3307, GSE6011 and GSE38417 datasets (all AUC > 0.8), which is validated in patients (10 DMD vs. 10 controls), DMD with exon 55 mutations, mdx mouse, and nomogram model. Conclusion Taken together, ATP6AP2, CTSS, and VIM play important roles in the inflammatory response in DMD, which may serve as diagnostic biomarkers and therapeutic targets.
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Affiliation(s)
- Xuan Wu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China,Department of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Nan Dong
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Liqiang Yu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Meirong Liu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jianhua Jiang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Tieyu Tang
- Department of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Hongru Zhao
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China,*Correspondence: Hongru Zhao, ; Qi Fang,
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China,*Correspondence: Hongru Zhao, ; Qi Fang,
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