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Kim K, Lee MY, Chang Y, Ryu S. Nightshift work and irregular menstrual cycle: 8-year follow-up cohort study. Occup Med (Lond) 2024; 74:152-160. [PMID: 38330390 DOI: 10.1093/occmed/kqad162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Irregular menstruation is a major health problem among women, although its association with nightshift work remains controversial. AIMS To study the association between nightshift work and irregular menstrual cycle among female workers and investigate any differences according to sleep quality, working hours or obesity. METHODS This study included female workers who underwent health examinations from 2012 to 2019. Nightshift work, working hours, sleep quality and menstrual cycles were assessed using self-administered questionnaires. Irregular menstrual cycle was defined as self-reported irregular or ≥36 days. Adjusted odds ratios and 95% confidence intervals (CIs) were calculated by multivariable logistic regression; adjusted hazard ratios (95% CIs) for incident irregular menstrual cycle were calculated by Cox proportional hazard models with time-dependent analysis. RESULTS The study participants were 87 147 in the cross-sectional study and 41 516 in the longitudinal study. After adjusting for all covariates in the cross-sectional analyses, the odds ratio for prevalent irregular menstrual cycle among female nightshift workers versus the reference was 1.26 (95% CI 1.2-1.33). In the cohort study, the adjusted hazard ratio for incident irregular menstrual cycle among nightshift workers was 1.95 (95% CI 1.61-2.35) in the period after 6 years. No significant differences were observed among subgroups stratified by sleep quality, working hours or obesity. CONCLUSIONS Nightshift work is associated with an increased risk of both prevalent and incident irregular menstrual cycle in female workers without significant interactions by sleep quality, working hours or obesity.
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Affiliation(s)
- K Kim
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Medical Humanities and Social Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - M Y Lee
- Division of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Y Chang
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - S Ryu
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
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An J, Han L, Ma X, Chang Y, Zhang C. Influence of diabetes on the risk of deep vein thrombosis of patients after total knee arthroplasty: a meta-analysis. J Orthop Surg Res 2024; 19:164. [PMID: 38439085 PMCID: PMC10910741 DOI: 10.1186/s13018-024-04624-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/11/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Previous studies evaluating the influence of diabetes on the risk of deep vein thrombosis (DVT) after total knee arthroplasty (TKA) showed inconsistent results. The aim of the study was to systematically evaluate the association between diabetes and DVT after TKA in a meta-analysis. METHODS An extensive search was conducted in PubMed, Embase, and Web of Science to identify relevant cohort studies. Random-effects models were employed to pool the results after taking account of the potential influence of heterogeneity. RESULTS Thirteen cohort studies involving 546,156 patients receiving TKA were included, with 71,110 (13.0%) diabetic patients before surgery and 1479 (2.1%) patients diagnosed as DVT after surgery. Overall, diabetes was associated with an increased risk of DVT after TKA (risk ratio [RR]: 1.43, 95% confidence interval [CI]: 1.12-1.84, p = 0.004; I2 = 44%). Sensitivity analysis limited to studies with chemoprophylaxis (RR: 1.96, 95% CI: 1.50-2.54), and studies with multivariate analysis (RR: 1.54, 95% CI: 1.12-2.11) showed consistent results. Subgroup analysis showed that diabetes was associated with higher risk of postoperative DVT in Asian countries (RR: 1.93, 95% CI: 1.49-2.52, p < 0.001; I2 = 1%) but not in Western countries (RR: 1.07, 95% CI: 0.86-1.34, p = 0.52; I2 = 0%; p for subgroup difference < 0.001). CONCLUSION Diabetes may be a risk factor for DVT after TKA, even with the chemoprophylaxis of anticoagulants. The association between diabetes and DVT after TKA may be more remarkable in patients from Asian countries.
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Affiliation(s)
- Jingzhi An
- Department of Clinical Pharmacy, The Third Hospital of Hebei Medical University, 139 Ziqiang Road, Qiaoxi District, Shijiazhuang, 050051, China
| | - Li Han
- Department of Clinical Pharmacy, The Third Hospital of Hebei Medical University, 139 Ziqiang Road, Qiaoxi District, Shijiazhuang, 050051, China
| | - Xiaojuan Ma
- Department of Clinical Pharmacy, The Third Hospital of Hebei Medical University, 139 Ziqiang Road, Qiaoxi District, Shijiazhuang, 050051, China
- Graduate School, Hebei Medical University, Shijiazhuang, 050017, China
| | - Yanyan Chang
- Department of Clinical Pharmacy, The Third Hospital of Hebei Medical University, 139 Ziqiang Road, Qiaoxi District, Shijiazhuang, 050051, China
| | - Cuixin Zhang
- Department of Clinical Pharmacy, The Third Hospital of Hebei Medical University, 139 Ziqiang Road, Qiaoxi District, Shijiazhuang, 050051, China.
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Chang Y, Zhou M, Zhang RY. Antioxidant effect of dimethyl fumarate in pentylenetetrazole-kindled epilepsy mice and is activated by nuclear factor erythroid 2-related factor 2 pathway. J Physiol Pharmacol 2024; 75. [PMID: 38583440 DOI: 10.26402/jpp.2024.1.07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 02/29/2024] [Indexed: 04/09/2024]
Abstract
This study was designed to examine the anti-oxidative stress effect of dimethyl fumarate (DMF) on pentylenetetrazole (PTZ)-induced epileptic mice, and to evaluate the correlation of its mechanism with the nuclear factor E2-related factor 2 (Nrf2)-mediated signaling pathway. The experimental mice were separated into three groups: control, model, and DMF groups. Mice in the model group were administered PTZ to establish an epilepsy model, mice in the DMF group were administered DMF concurrently when modeling, and mice in the control group were administered a 0.9% NaCl solution. The latency, severity, and frequency of epileptic seizures in mice after each treatment were recorded, and the modelling success rate was computed at the conclusion of the experiment. The mice were euthanized, their levels of malondialdehyde (MDA), reactive oxygen species (ROS), superoxide dismutase (SOD), 8-hydroxy-deoxyguanosine (8-OHdG), and Nrf2 were measured, and the electron microscope was used to examine the mitochondrial damage of brain tissue. The latency of epileptic seizures was longer in the DMF group compared to the model group (P<0.05). The levels of MDA and ROS in the DMF group were lower than those in the model group (P<0.0001), and the activity of SOD in the DMF group was higher than that in the model group (P<0.0001); however, the levels of MDA and ROS were elevated and the activity of SOD was lower in both groups relative to the control group. The levels of 8-OHdG were lower in the DMF group than the model group (P<0.0001), however, the levels were higher in both groups compared to the control group. Mitochondrial abnormalities were more prevalent in the model group than in the DMF group, and more prevalent in both groups compared to the control group. The DMF group contained more Nrf2 content than the model group (P<0.0001), and both groups contained more Nrf2 than the control group. We concluded that the mechanism by which DMF reduced the level of oxidative stress in epileptic mice might involve the Nrf2-mediated signaling pathway.
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Affiliation(s)
- Y Chang
- Department of Pediatry, Dalian Medical University, Dalian, China
| | - M Zhou
- Department of Pediatry, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China
| | - R-Y Zhang
- Department of Pediatry, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China.
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Liu J, Chang Y, Zhu N, Zhang Y. Dynamic navigation-assisted bone ring technique for partially edentulous patients with severe vertical ridge defects. Int J Oral Maxillofac Surg 2024:S0901-5027(24)00009-2. [PMID: 38278686 DOI: 10.1016/j.ijom.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 12/19/2023] [Accepted: 01/11/2024] [Indexed: 01/28/2024]
Abstract
The autogenous bone ring technique is among the approaches for vertical alveolar ridge augmentation, and this technique can enable simultaneous implantation. However, the outcomes can be compromised due to donor site morbidity, shifting of the bone ring graft positioning, and inaccurate implant placement. In recent decades, dynamic navigation systems have been introduced into the field of implantology, allowing the accuracy of outcomes to be improved. This Technical Note describes the use of dynamic navigation to guide bone ring surgery, which is expected to enable more precise and predictable bone augmentation and implantation procedures, reduce the risk of injuries to the adjacent anatomical structures, and achieve better treatment outcomes.
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Affiliation(s)
- J Liu
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China
| | - Y Chang
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China
| | - N Zhu
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China
| | - Y Zhang
- Department of Oral Implantology, Peking University School and Hospital of Stomatology, Beijing, PR China.
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Chang Y, Ma L, Dang X. Analysis of Sleep Quality and Its Influencing Factors in Chronic Nephritis Patients: A Survey in a Hospital. ARCH ESP UROL 2024; 77:98-103. [PMID: 38374019 DOI: 10.56434/j.arch.esp.urol.20247701.13] [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
OBJECTIVE The current status and influencing factors of sleep quality in chronic nephritis patients (CNPs) were explored to provide clinical basis for improving the sleep quality of these patients. METHODS A total of 197 CNPs admitted to our hospital from June 2021 to June 2023 were retrospectively analysed. The sleep status of patients was evaluated by the Pittsburgh sleep quality index (PSQI). According to the PSQI scores, patients were divided into good sleep quality (n = 93) and poor sleep quality (n = 104) groups. The clinical indicators between the two groups were detected. The influencing factors of sleep quality in CNP were explored by univariate and multivariate logistic regression analysis. RESULTS Statistical differences existed in age, gender, course of disease, hypertension, neutrophilic granulocyte (NEUT) percentage (NEUT %), haemoglobin (Hb), urea, total carbon dioxide (TCO2), and serum phosphorus (P) between both groups (p < 0.05). Multivariate logistic regression analysis showed that age, course of disease, hypertension, NEUT %, Hb, and TCO2 were independent influencing factors for poor sleep quality in CNPs (p < 0.05). CONCLUSIONS Older age, longer course of disease, hypertension, higher NEUT %, lower Hb, and higher TCO2 are associated with poorer sleep quality in CNPs. Therefore, targeted interventions for sleep quality should be given priority in clinical practice.
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Affiliation(s)
- Yanyan Chang
- School of Medicine, Cheeloo College of Medicine, Shandong University, 250012 Jinan, Shandong, China
- Department of Neurology, Tai'an City Central Hospital, 271000 Tai'an, Shandong, China
| | - Li Ma
- Department of Oncology, The Second Affiliated Hospital of Shandong First Medical University, 271000 Tai'an, Shandong, China
| | - Xiangyu Dang
- Department of Neurology, Tai'an City Central Hospital, 271000 Tai'an, Shandong, China
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Jin G, Chang Y, Bao X. Generation of chimeric antigen receptor macrophages from human pluripotent stem cells to target glioblastoma. Immunooncol Technol 2023; 20:100409. [PMID: 38192614 PMCID: PMC10772262 DOI: 10.1016/j.iotech.2023.100409] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
Background Glioblastoma (GBM) is an aggressive brain tumor giving a poor prognosis with the current treatment options. The advent of chimeric antigen receptor (CAR) T-cell therapy revolutionized the field of immunotherapy and has provided a new set of therapeutic options for refractory blood cancers. In an effort to apply this therapeutic approach to solid tumors, various immune cell types and CAR constructs are being studied. Notably, macrophages have recently emerged as potential candidates for targeting solid tumors, attributed to their inherent tumor-infiltrating capacity and abundant presence in the tumor microenvironment. Materials and methods In this study, we developed a chemically defined differentiation protocol to generate macrophages from human pluripotent stem cells (hPSCs). A GBM-specific CAR was genetically incorporated into hPSCs to generate CAR hPSC-derived macrophages. Results The CAR hPSC-derived macrophages exhibited potent anticancer activity against GBM cells in vitro. Conclusion Our findings demonstrate the feasibility of generating functional CAR-macrophages from hPSCs for adoptive immunotherapy, thereby opening new avenues for the treatment of solid tumors, particularly GBM.
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Affiliation(s)
- G. Jin
- Davidson School of Chemical Engineering, Purdue University, West Lafayette
- Purdue University Center for Cancer Research, West Lafayette, USA
| | - Y. Chang
- Davidson School of Chemical Engineering, Purdue University, West Lafayette
- Purdue University Center for Cancer Research, West Lafayette, USA
| | - X. Bao
- Davidson School of Chemical Engineering, Purdue University, West Lafayette
- Purdue University Center for Cancer Research, West Lafayette, USA
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Ma Z, Chang Y, Brito LF, Li Y, Yang T, Wang Y, Yang N. Multitrait meta-analyses identify potential candidate genes for growth-related traits in Holstein heifers. J Dairy Sci 2023; 106:9055-9070. [PMID: 37641329 DOI: 10.3168/jds.2023-23462] [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: 03/07/2023] [Accepted: 06/20/2023] [Indexed: 08/31/2023]
Abstract
Understanding the underlying pleiotropic relationships among growth and body size traits is important for refining breeding strategies in dairy cattle for optimal body size and growth rate. Therefore, we performed single-trait GWAS for monthly-recorded body weight (BW), hip height, body length, and chest girth from birth to 12 mo of age in Holstein animals, followed by stepwise multiple regression of independent or lowly-linked markers from GWAS loci using conditional and joint association analyses (COJO). Subsequently, we conducted a multitrait meta-analysis to detect pleiotropic markers. Based on the single-trait GWAS, we identified 170 significant SNPs, in which 59 of them remained significant after the COJO analyses. The most significant SNP, located at BTA7:3,676,741, explained 2.93% of the total phenotypic variance for BW6 (BW at 6 mo of age). We identified 17 SNPs with potential pleiotropic effects based on the multitrait meta-analyses, which resulted in 3 additional SNPs in comparison to those detected based on the single-trait GWAS. The identified quantitative trait loci regions overlap with genes known to influence human growth-related traits. According to positional and functional analyses, we proposed HMGA2, HNF4G, MED13L, BHLHE40, FRZB, DMP1, TRIB3, and GATAD2A as important candidate genes influencing the studied traits. The combination of single-trait GWAS and meta-analyses of GWAS results improved the efficiency of detecting associated SNPs, and provided new insights into the genetic mechanisms of growth and development in Holstein cattle.
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Affiliation(s)
- Z Ma
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China; Beijing Sunlon Livestock Development Co. Ltd., 100029, Beijing, China
| | - Y Chang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Y Li
- Beijing Sunlon Livestock Development Co. Ltd., 100029, Beijing, China
| | - T Yang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Y Wang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
| | - N Yang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
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Zhao M, Tian L, Xiao Y, Chang Y, Zhou Y, Liu S, Zhao H, Xiu Y. Heterogeneous Transformation of Ginsenoside Rb1 with Ethanol Using Heteropolyacid-Loaded Mesoporous Silica and Identification by HPLC-MS. ACS Omega 2023; 8:43285-43294. [PMID: 38024707 PMCID: PMC10652834 DOI: 10.1021/acsomega.3c07214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023]
Abstract
Rare ginsenosides with major pharmacological effects are barely present in natural ginseng and are required to be obtained by transformation. In the current study, ginsenoside Rb1 was chemically transformed with the involvement of ethanol molecules to prepare rare ginsenosides using the synthesized heterogeneous catalyst 12-HPW@MeSi. A total of 16 transformation products were obtained and identified using high-performance liquid chromatography coupled with multistage tandem mass spectrometry and high-resolution mass spectrometry. Ethanol molecules were involved in the production of 6 transformation products by adding to the C-20(21), C-20(22), or C-24(25) double bonds on the aglycone to produce ethoxyl groups at the C-25 and C-20 positions. Transformation pathways of ginsenoside Rb1 are summarized, which involve deglycosylation, elimination, cycloaddition, epimerization, and addition reactions. In addition, 12-HPW@MeSi was recyclable through a simple centrifugation, maintaining an 85.1% conversion rate of Rb1 after 3 cycles. This work opens up an efficient and recycled process for the preparation of rare ginsenosides with the involvement of organic molecules.
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Affiliation(s)
- Mengya Zhao
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Lu Tian
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Yusheng Xiao
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Yanyan Chang
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Yujiang Zhou
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Shuying Liu
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Huanxi Zhao
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
| | - Yang Xiu
- Jilin
Ginseng Academy, Changchun University of
Chinese Medicine, Changchun 130117, P. R. China
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Chang Y, Zhou QB, Yuan WT. [Progress of laparoscopy and endoscopy cooperative surgery for early colorectal tumors]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:740-744. [PMID: 37574288 DOI: 10.3760/cma.j.cn441530-20230507-00153] [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: 08/15/2023]
Abstract
Cooperative laparoscopic or robotic-endoscopic surgery has emerged as a promising approach for the treatment of early-stage colorectal cancers that are difficult to treat with endoscopic techniques alone. Cooperative surgery allows organ and function preservation by complementing the advantages of each modality, providing minimally invasive, precise and personalized treatment options. Laparoscopic-endoscopic cooperative surgery includes laparoscopic-assisted endoscopic resection, combined laparoscopic-endoscopic full-thickness resection, endoscopic-assisted laparoscopic wedge resection, endoscopic-assisted laparoscopic segmental resection, and laparoscopic-endoscopic cooperative surgery with sentinel lymph node dissection. Nearly three decades of clinical research and practice have demonstrated the safety and efficacy of laparoscopic and endoscopic cooperative surgery in the treatment of colorectal tumors. With the progress of the minimally invasive concept, the development of minimally invasive technology and the innovation of minimally invasive equipment, laparoscopy and endoscopy cooperative surgery is expected to have a proper place in the treatment of colorectal tumors.
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Affiliation(s)
- Y Chang
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Q B Zhou
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W T Yuan
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Zhou QB, Yang SX, Cui WM, Wang FQ, Chang Y, Sun HF, Yuan WT. [Application of robotic (or laparoscopic) surgery combined with colonoscopy in T1 stage colorectal cancer surgery: 13 cases]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:763-767. [PMID: 37574292 DOI: 10.3760/cma.j.cn441530-20230508-00154] [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: 08/15/2023]
Abstract
Objective: To investigate the feasibility and safety of a robotic surgical system (or laparoscopy) in combination with colonoscopy (combined) for the treatment of stage T1N0M0 colorectal cancer. Methods: This was a descriptive case series. Indications for combined dual-scope surgery in this study were as follows: (1) preoperative colonoscopic examination of lesions in the middle and upper rectum and colon with pathologically confirmed high-grade intraepithelial neoplasia, intramucosal adenocarcinoma, or adenocarcinoma; (2) no distant or local lymph node metastases; and (3) endoscopic ultrasound and magnetic resonance imaging evidence of tumor invasion of the mucosal or submucosal, but not the muscular, layer (i.e., T1). The clinical data of 13 patients with stage T1 colorectal cancer who had undergone dual-scope combined resection using a robotic surgery system or laparoscope-assisted combined colonoscopy surgery at the First Affiliated Hospital of Zhengzhou University from April to October 2022 were retrospectively collected, including 6 males and 7 females, with a median age of 59 (48~88) years old. The tumors were located in the upper and middle rectum in six patients, in the sigmoid colon in three, and in the ascending colon in four. The median maximum diameter of the tumors was 3.0 (1.8-5.0) cm. The surgery was performed by a robotic surgery system (or laparoscopy) with peritumoral D1 lymph node dissection at the first station in the tumor area. The tumors were resected under direct vision and the defects in the intestinal wall were using a robotic surgery system (or laparoscopy). A robotic surgery system was combined with colonoscopy in eight cases and laparoscopy combined with colonoscopy in the remaining five. Studied variables includes surgical and pathological features, postoperative factors, and outcomes. Results: Surgery was successful in all 13 patients with no need for conversion to open surgery or intraoperative blood transfusion. The median operating time was 85 (60-120) minutes, median intraoperative bleeding 3 (2-5) mL, median number of lymph nodes harvested 3 (1-5), and the median circumferential resection margin 0.8 (0.5-1.0) cm. Postoperative pathological examination showed lymph node metastasis in one patient, who therefore underwent additional radical surgery. The median postoperative time to ambulation was 1 (1-2) days. The urinary catheters of all patients were removed 1 day after surgery and the median length of stay was 4 (3-5) days. No abdominal infection, anastomotic leakage or bleeding occurred in any of the study patients. The median follow-up time was 10 (6-12) months, during which no tumor recurrence or metastasis was found, and the quality of life was satisfactory. Conclusions: The combination of two minimally invasive platforms, a robotic surgery system (or laparoscopy) and colonoscopy, is safe and feasible for resection of stage T1 colorectal cancer and has a good short-term prognosis.
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Affiliation(s)
- Q B Zhou
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
| | - S X Yang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
| | - W M Cui
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
| | - F Q Wang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
| | - Y Chang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
| | - H F Sun
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
| | - W T Yuan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, China
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Wang Z, Tian L, Xiao Y, Zhao M, Chang Y, Zhou Y, Liu S, Zhao H, Xiu Y. Quantitative and Differential Analysis between Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd. Using HPLC-MS and GC-MS Coupled with Multivariate Statistical Analysis. Molecules 2023; 28:5630. [PMID: 37570602 PMCID: PMC10419597 DOI: 10.3390/molecules28155630] [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: 06/29/2023] [Revised: 07/21/2023] [Accepted: 07/23/2023] [Indexed: 08/13/2023] Open
Abstract
Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd. have different clinical efficacies, with the former typically used to treat typhoid fever and the latter mainly used to clear liver heat. The differences in their clinical efficacy are closely related to their complex chemical composition, especially the active components. In this study, the saponins and volatile oils in two varieties of Radix Bupleuri grown in different regions were extracted and analyzed using high-performance liquid chromatography (HPLC) and gas chromatography coupled with mass spectrometry (MS), and the absolute contents of five saikosaponins were accurately quantified using an established HPLC-MS method in the multiple reaction monitoring mode. Multivariate statistical analysis was performed to reveal the difference in the active components between the two varieties. The saikosaponin content was significantly affected by variety and growing region, with all five saikosaponins being significantly higher in Bupleurum chinense DC. than in Bupleurum scorzonerifolium Willd. The results of principal component analysis and hierarchical cluster analysis show a clear distinction between the two varieties in terms of both saponins and volatile oils. Twenty-one saponins, including saikosaponin b2 and b1, and fifty-two volatile oils, including 2-tetradecyloxirane and chloromethyl cyanide, were screened and identified as differential compounds contributing to the significant difference between the two varieties. These compounds may also be responsible for the difference in clinical efficacy between Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd. All the results suggest that the accumulation and diversity of active components in Radix Bupleuri are significantly affected by the variety. In contrast to previous reports, this study provides the absolute contents of five saikosaponins in Radix Bupleuri of different varieties and reduces the influence of the growing region on the analytical results by collecting samples from different regions. The results of this study may provide a reference for the identification and quality evaluation of different varieties of Radix Bupleuri.
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Affiliation(s)
| | | | | | | | | | | | | | - Huanxi Zhao
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China; (Z.W.); (L.T.); (Y.X.); (M.Z.); (Y.C.); (Y.Z.); (S.L.)
| | - Yang Xiu
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China; (Z.W.); (L.T.); (Y.X.); (M.Z.); (Y.C.); (Y.Z.); (S.L.)
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Zhou B, Zhang C, Deng H, Chen S, Chang Y, Yang Y, Fu G, Yuan D, Zhao H. [Protective effects of total saponins from Panax japonicus against high-fat diet-induced testicular Sertoli cell junction damage in mice]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1145-1154. [PMID: 37488797 PMCID: PMC10366514 DOI: 10.12122/j.issn.1673-4254.2023.07.11] [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: 07/26/2023]
Abstract
OBJECTIVE To investigate the protective effects of total saponins from Panax japonicus (TSPJ) against high-fat dietinduced testicular Sertoli cell junction damage in mice. METHODS Forty male C57BL/6J mice were randomized into normal diet group, high-fat diet group, and low-dose (25 mg/kg) and high-dose (75 mg/kg) TSPJ treatment groups (n=10). The mice in the normal diet group were fed a normal diet, while the mice in the other groups were fed a high-fat diet. After TSPJ treatment via intragastric administration for 5 months, the testes and epididymis of the mice were collected for measurement of weight, testicular and epididymal indices and sperm parameters. HE staining was used for histological evaluation of the testicular tissues and measurement of seminiferous tubule diameter and seminiferous epithelium height. The expression levels of ZO-1, occludin, claudin11, N-cadherin, E-cadherin and β-catenin in Sertoli cells were detected with Western blot, and the localization and expression levels of ZO-1 and β-catenin in the testicular tissues were detected with immunofluorescence assay. The protein expressions of LC3B, p-AKT and p-mTOR in testicular Sertoli cells were detected using double immunofluorescence assay. RESULTS Treatment with TSPJ significantly improved high-fat diet-induced testicular dysfunction by reducing body weight (P < 0.001), increasing testicular and epididymal indices (P < 0.05), and improving sperm concentration and sperm viability (P < 0.05). TSPJ ameliorated testicular pathologies and increased seminiferous epithelium height of the mice with high-fat diet feeding (P < 0.05) without affecting the seminiferous tubule diameter. TSPJ significantly increased the expression levels of ZO-1, occludin, N-cadherin, E-cadherin and β-catenin (P < 0.05) but did not affect claudin11 expression in the testicular tissues. Immunofluorescence assay showed that TSPJ significantly increased ZO-1 and β-catenin expression in the testicular tissues (P < 0.001), downregulated LC3B expression and upregulated p-AKT and p-mTOR expressions in testicular Sertoli cells. CONCLUSION TSPJ alleviates high-fat diet-induced damages of testicular Sertoli cell junctions and spermatogenesis possibly by activating the AKT/mTOR signaling pathway and inhibiting autophagy of testicular Sertoli cells.
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Affiliation(s)
- B Zhou
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang 443002, China
| | - C Zhang
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang 443002, China
| | - H Deng
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang 443002, China
| | - S Chen
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang 443002, China
| | - Y Chang
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang 443002, China
| | - Y Yang
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang 443002, China
| | - G Fu
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang 443002, China
| | - D Yuan
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
| | - H Zhao
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang 443002, China
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Phys Rev Lett 2023; 130:211801. [PMID: 37295075 DOI: 10.1103/physrevlett.130.211801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/10/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Y-C Cheng
- Department of Physics, National Taiwan University, Taipei
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - K V Dugas
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Brookhaven National Laboratory, Upton, New York 11973
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Guitian J, Snary EL, Arnold M, Chang Y. Applications of machine learning in animal and veterinary public health surveillance. REV SCI TECH OIE 2023; 42:230-241. [PMID: 37232301 DOI: 10.20506/rst.42.3366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Machine learning (ML) is an approach to artificial intelligence characterised by the use of algorithms that improve their own performance at a given task (e.g. classification or prediction) based on data and without being explicitly and fully instructed on how to achieve this. Surveillance systems for animal and zoonotic diseases depend upon effective completion of a broad range of tasks, some of them amenable to ML algorithms. As in other fields, the use of ML in animal and veterinary public health surveillance has greatly expanded in recent years. Machine learning algorithms are being used to accomplish tasks that have become attainable only with the advent of large data sets, new methods for their analysis and increased computing capacity. Examples include the identification of an underlying structure in large volumes of data from an ongoing stream of abattoir condemnation records, the use of deep learning to identify lesions in digital images obtained during slaughtering, and the mining of free text in electronic health records from veterinary practices for the purpose of sentinel surveillance. However, ML is also being applied to tasks that previously relied on traditional statistical data analysis. Statistical models have been used extensively to infer relationships between predictors and disease to inform risk-based surveillance, and increasingly, ML algorithms are being used for prediction and forecasting of animal diseases in support of more targeted and efficient surveillance. While ML and inferential statistics can accomplish similar tasks, they have different strengths, making one or the other more or less appropriate in a given context.
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Ding XY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay. Phys Rev Lett 2023; 130:161802. [PMID: 37154643 DOI: 10.1103/physrevlett.130.161802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3} eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3} eV^{2} for the inverted mass ordering.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Z Y Chen
- Institute of High Energy Physics, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | | | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - W Wei
- Shandong University, Jinan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Kruse GR, Joyce A, Yu L, Park ER, Neil J, Chang Y, Rigotti NA. A pilot adaptive trial of text messages, mailed nicotine replacement therapy, and telephone coaching among primary care patients who smoke. J Subst Use Addict Treat 2023; 145:208930. [PMID: 36880910 PMCID: PMC10016234 DOI: 10.1016/j.josat.2022.208930] [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] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 07/01/2022] [Accepted: 10/31/2022] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Sequential multiple assignment randomized trials (SMART) inform the design of adaptive treatment interventions. We tested the feasibility of a SMART to deliver a stepped-care intervention among primary care patients who smoked daily. METHODS In a 12-week pilot SMART (NCT04020718), we tested the feasibility of recruiting and retaining (>80 %) participants to an adaptive intervention starting with cessation text messages (SMS). The study randomly assigned participants (R1) to assessment of quit status, the tailoring variable, after either 4 or 8 weeks of SMS. The study offered continued SMS alone to those reporting abstinence. Those reporting smoking were randomized (R2) to SMS + mailed NRT or SMS + NRT + brief telephone coaching. RESULTS During Jan-March and July-Aug 2020, we enrolled 35 patients (>18 years) from a primary care network in Massachusetts. Two (6 %) of 31 participants reported seven-day point prevalence abstinence at their tailoring variable assessment. The 29 participants who continued to smoke at 4 or 8 weeks were randomized (R2) to SMS + NRT (n = 16) or SMS + NRT + coaching (n = 13). Thirty of 35 participants (86 %) completed 12-weeks; 13 % (2/15) of those in 4-week group and 27 % (4/15) of those in 8-week group had CO < 6 ppm at 12-weeks (p = 0.65). Among 29 participants in R2, one was lost to follow-up, 19 % (3/16) of the SMS + NRT group had CO < 6 ppm vs. 17 % (2/12) of SMS + NRT + coaching (p = 1.00). Treatment satisfaction was high (93 %, 28 of 30 who completed 12-weeks). CONCLUSIONS A SMART exploring a stepped-care adaptive intervention combining SMS, NRT, and coaching for primary care patients was feasible. Retention and satisfaction were high and quit rates were promising.
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Affiliation(s)
- G R Kruse
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, United States of America; Harvard Medical School, United States of America.
| | - A Joyce
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, United States of America
| | - L Yu
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, United States of America
| | - E R Park
- Tobacco Research and Treatment Center, Massachusetts General Hospital, United States of America; Harvard Medical School, United States of America; Department of Psychiatry, Massachusetts General Hospital, United States of America; Health Policy Research Center, Massachusetts General Hospital, United States of America
| | - J Neil
- Tobacco Research and Treatment Center, Massachusetts General Hospital, United States of America; Harvard Medical School, United States of America; Health Policy Research Center, Massachusetts General Hospital, United States of America; Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, United States of America
| | - Y Chang
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, United States of America; Harvard Medical School, United States of America
| | - N A Rigotti
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, United States of America; Harvard Medical School, United States of America; Health Policy Research Center, Massachusetts General Hospital, United States of America
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Pegram C, Brodbelt DC, Diaz-Ordaz K, Chang Y, von Hekkel AF, Church DB, O'Neill DG. Risk factors for unilateral cranial cruciate ligament rupture diagnosis and for clinical management in dogs under primary veterinary care in the UK. Vet J 2023; 292:105952. [PMID: 36708945 DOI: 10.1016/j.tvjl.2023.105952] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/17/2023] [Accepted: 01/23/2023] [Indexed: 01/26/2023]
Abstract
This study aimed to evaluate demographic risk factors associated with unilateral cranial cruciate ligament (CCL) rupture diagnosis and to explore demographic and clinical risk factors associated with management of unilateral CCL rupture in dogs under primary veterinary care in the UK. A retrospective cohort study design was used. Clinical records were automatically searched and manually verified for incident cases of unilateral CCL rupture during 2019 and additional clinical management information extracted. Multivariable logistic regression modelling was used to evaluate associations between risk factors and: (1) CCL rupture diagnosis; and (2) clinical management (surgical or non-surgical). The analysis included 1000 unilateral CCL rupture cases and a random selection of 500,000 non-cases. After accounting for confounding factors, dogs aged 6 to < 9 years, male neutered and female neutered dogs, insured dogs, and Rottweiler, Bichon Frise, and West Highland White terrier breeds, in particular, had increased odds of unilateral CCL rupture diagnosis. Insured dogs and dogs ≥ 20 kg had increased odds of surgical management, while dogs ≥ 9 years and dogs with one non-orthopaedic comorbidity at diagnosis with CCL rupture had reduced odds. These findings inform identification of at-risk dogs, with Rottweilers and Bichon Frise particularly predisposed. Additionally, they contribute to a greater understanding of the clinical rationales used in primary-care veterinary practices to decide between surgical or non-surgical management of unilateral CCL rupture.
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Affiliation(s)
- C Pegram
- Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield Herts AL9 7TA, UK.
| | - D C Brodbelt
- Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield Herts AL9 7TA, UK
| | - K Diaz-Ordaz
- Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
| | - Y Chang
- Comparative Biomedical Sciences, The Royal Veterinary College, Hatfield Herts AL9 7TA, UK
| | - A Frykfors von Hekkel
- Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield Herts AL9 7TA, UK
| | - D B Church
- Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield Herts AL9 7TA, UK
| | - D G O'Neill
- Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield Herts AL9 7TA, UK
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18
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Li J, Chang Y, Yang S, Zhou G, Wei Y. Formulation enhanced the stability of Foot-and-mouth virus and prolonged vaccine storage. Virol J 2022; 19:207. [PMID: 36463170 PMCID: PMC9719126 DOI: 10.1186/s12985-022-01928-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 05/10/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
Foot-and-mouth disease (FMD) is a highly contagious viral disease that affects cloven-hoofed animals. Vaccination is the most effective measure to control FMD. However, FMDV particles are prone to dissociation, leading to insufficient potency of vaccine. Based on this characteristic, a combination of twenty percentage trehalose, 500 mM NaCl and 3 mM CuSO4·5H2O was developed to increase viral stability. Heating-resistance test showed that FMDV infectivity was maintained when formulated with formulation. Additionally, the half-life of FMDV inactivation was prolonged remarkably. Sequencing analysis demonstrated that viral genome could not be altered in serial passages. Vaccine stability was monitored for up to 1 year at 4 °C, with a higher level of 146S content remained. This study suggested that the formulation could protect FMDV against massive structural breakdown and extend the shelf life of vaccine. Our findings could provide strategy to develop more solutions for the stabilization of viral vaccine.
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Affiliation(s)
- Jing Li
- grid.411734.40000 0004 1798 5176College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China ,China Agricultural Vet.Bio.Science and Technology Co, Ltd, Lanzhou, China
| | - Yanyan Chang
- China Agricultural Vet.Bio.Science and Technology Co, Ltd, Lanzhou, China
| | - Shunli Yang
- grid.454892.60000 0001 0018 8988State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Disease Reference Laboratory, Lanzhou Veterinary Research Institute Chinese Academy of Agricultural Sciences, Lanzhou, People’s Republic of China
| | - Guangqing Zhou
- grid.454892.60000 0001 0018 8988State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Disease Reference Laboratory, Lanzhou Veterinary Research Institute Chinese Academy of Agricultural Sciences, Lanzhou, People’s Republic of China
| | - Yanming Wei
- grid.411734.40000 0004 1798 5176College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China
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Iselin C, Chang Y, Schlaepfer T, Fassnacht C, Dimitriou F, Nägeli M, Pascolo S, Hoetzenecker W, Bobrowicz M, Guenova E. 460 Enhancement of antibody-dependent cellular cytotoxicity is associated with treatment response to extracorporeal photopheresis in Sézary syndrome. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Lin Y, Lee Y, Chang Y, Huang H, Hong Y, Aala W, Tu W, Tsai M, Chou Y, Hsu C. 312 Genetic Diagnosis of Rubinstein–Taybi Syndrome With Multiplex Ligation-Dependent Probe Amplification (MLPA) and Whole-Exome Sequencing (WES): Case Series With a Novel CREBBP Variant. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Blanchard G, Chang Y, Salamin K, Fratti M, Bontems O, Monod M, Guenova E. 086 Terbinafine-resistant dermatophytosis: an emerging global health threat. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Wijayatunga N, Chang Y, Brown A, Webster A, Sollid K, Bailey D. Signals of Environmental Sustainability and Influence On Food Purchasing Decisions By U.S. Consumers. J Acad Nutr Diet 2022. [DOI: 10.1016/j.jand.2022.08.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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23
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LaCroix D, Mascola R, Chang Y, Stewart J, Stanley G, Koff J. 60 Improving cystic fibrosis–related diabetes annual screening in adults with cystic fibrosis. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)00751-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Chang Y, Geng Q, Bao Q, Hu P. Retraction Note: Salinomycin enhances radiotherapy sensitivity and reduces expressions of BIRC5 and NEIL2 in nasopharyngeal carcinoma. Eur Rev Med Pharmacol Sci 2022; 26:6012. [PMID: 36111899 DOI: 10.26355/eurrev_202209_29611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The article "Salinomycin enhances radiotherapy sensitivity and reduces expressions of BIRC5 and NEIL2 in nasopharyngeal carcinoma, by Y. Chang, Q. Geng, Q. Bao, P. Hu, published in Eur Rev Med Pharmacol Sci 2020; 24 (11): 6409-6416-DOI: 10.26355/eurrev_202006_21539-PMID: 32572938" has been retracted by the authors. After publication, the article was questioned on PubPeer. Concerns were raised about Figure 3 and the reliability of the published results. The same authors stated that the study was not conducted according to the required standard procedures. The Publisher apologizes for any inconvenience this may cause https://www.europeanreview.org/article/21539.
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Affiliation(s)
- Y Chang
- Department of Radiotherapy, Linyi Cancer Hospital, Linyi, China
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Shi M, Chang Y, Cao M, Zhang J, Zhang L, Xie H, Miao Z. Effects of dietary yam polysaccharide on growth performance and
intestinal microflora in growing Huoyan geese. J Anim Feed Sci 2022. [DOI: 10.22358/jafs/151561/2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Cui WM, Chang Y, Wang WX, Zhou QB, Sun HF, Zhang QQ, Wang FQ, Zhang YZ, Yuan WT. [Robotic surgical system combined with colonoscopy for colon tumor resection and D1 lymph node dissection]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:731-733. [PMID: 35970808 DOI: 10.3760/cma.j.cn441530-20220627-00279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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Chang Y, Chen TM, Guo LY, Wang ZZ, Liu SP, Hu B, Wang Q, Feng W, Liu G. [Analysis of clinical features and poor prognostic factors of acute hematogenous osteomyelitis in children]. Zhonghua Er Ke Za Zhi 2022; 60:756-761. [PMID: 35922184 DOI: 10.3760/cma.j.cn112140-20220610-00534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the clinical characteristics, pathogenic bacteria, complications and risk factors of prognosis of acute hematogenous osteomyelitis in children. Methods: The clinical manifestations, laboratorg tests, etiological charateristics and clinical data of 107 patients with acute hematogenous osteomyelitis admitted to Beijing Children's Hospital from January 2017 to December 2020 were retrospectively analyzed. According to the drug sensitivity results of Staphylococcus aureus, the group was divided into methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-susceptible Staphylococcus aureus (MSSA) group; according to the presence or absence of complications, the group was divided into the group with and without complications; according to the prognosis of the follow-up children, the group was divided into good prognosis and poor prognosis. The χ2 test or Mann-Whitney U test used for comparison between groups, and Logistic regression was used to analyze the risk factors for complications and prognosis. Results: Of the 107 patients, 62 were males and 45 were females. The age of presentation was 5.6 (1.7, 10.0) years, including 5 patients (4.7%) age from >28 days to 3 months, 46 patients (43.0%) age from >3 months to 5 years, 43 patients (40.2%)>5-12 years of age, and 13 patients (12.1%)>12-18 years of age. The first symptoms were acute fever in 35 patients (32.7%), limb pain in 24 patients (22.4%), and fever with limb pain in 23 patients (21.5%). Pathogen culture was positive in 75 patients (70.1%), Streptococcus pyogenes, Salmonella enterica and Escherichia coli in 1 case (1.4%) each, and Staphylococcus aureus in 72 cases (96.0%), among them, 47 cases were MSSA, 22 cases were MRSA, and 3 cases had positive reports of Staphylococcus aureus from other hospitals without drug-sensitive tests. The proportion of infected children living in rural areas and receiving surgical treatment was higher in the MRSA group than in the MSSA group (14 cases (63.6%) vs. 18 cases (38.3%) and 21 cases (95.5%) vs. 33 cases (70.2%), χ2=3.87, 4.23, both P<0.05). Sixty-five children had no complications while 42 children (39.3%) suffered from complications. Common complications consisted of 19 cases (17.8%) of sepsis, 17 cases (15.9%) of septic arthritis, and 12 cases (11.2%) of venous thrombosis. The group with complications showed higher mental changes, decreased appetite and (or) weakness, positive pathogenic cultures, and time from admission to surgery than the group without complications (18 cases (42.9%) vs. 9 cases (13.8%), 20 cases (47.6%) vs. 12 cases (18.5%), 34 cases (81.0%) vs. 41 cases (63.1%), 3.5 (2.0, 6.0) vs. 2.0 (1.0, 4.0) d,χ2=11.38, 10.35, 3.89, Z=2.21, all P<0.05). The poor prognosis group had more comorbidities, combined local complications, and positive aureus than the good prognosis group (10/15 vs. 34.9% (30/86), 7/15 vs. 17.4% (15/86), 14/15 vs. 61.6% (53/86), χ2=5.39, 6.40, 4.42, all P<0.05). Multifactorial Logistic regression analysis showed that acute phase C-reactive protein (CRP) was both an independent risk factor for complications (OR=1.01, 95%CI 1.01-1.02) and an independent risk factor for poor prognosis (OR=1.01, 95%CI 1.00-1.02). Conclusions: The first symptoms of acute hematogenous osteomyelitis are acute fever, limb pain, and fever with limb pain are most common. Staphylococcus aureus is the most common pathogenic organism. Those with loss of appetite and (or) weakness, mental changes, positive pathogenic cultures, and longer time between admission and surgery are prone to complications. Those with complications, combined local complications, and positive for Staphylococcus aureus had a poor prognosis. Elevated CRP is an independent risk factor not only for complications but for poor prognosis as well.
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Affiliation(s)
- Y Chang
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
| | - T M Chen
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
| | - L Y Guo
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
| | - Z Z Wang
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
| | - S P Liu
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
| | - B Hu
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
| | - Q Wang
- Department of Orthopedics, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - W Feng
- Department of Orthopedics, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - G Liu
- Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Key Laboratory of Major Diseases in Children, Ministry of Education, Research Unit of Critical infection in Children, Chinese Academy of Medical Sciences, Beijing 100045, China
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. First Measurement of High-Energy Reactor Antineutrinos at Daya Bay. Phys Rev Lett 2022; 129:041801. [PMID: 35939015 DOI: 10.1103/physrevlett.129.041801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/05/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
This Letter reports the first measurement of high-energy reactor antineutrinos at Daya Bay, with nearly 9000 inverse beta decay candidates in the prompt energy region of 8-12 MeV observed over 1958 days of data collection. A multivariate analysis is used to separate 2500 signal events from background statistically. The hypothesis of no reactor antineutrinos with neutrino energy above 10 MeV is rejected with a significance of 6.2 standard deviations. A 29% antineutrino flux deficit in the prompt energy region of 8-11 MeV is observed compared to a recent model prediction. We provide the unfolded antineutrino spectrum above 7 MeV as a data-based reference for other experiments. This result provides the first direct observation of the production of antineutrinos from several high-Q_{β} isotopes in commercial reactors.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Zhao K, Huang F, Chen XY, Chang Y, Xu N, Shi PC, Liu H, Sun J, Xiang P, Liu QF, Fan ZP. [Clinical study of mesenchymal stem cells from third-party donors in the treatment of refractory late onset hemorrhagic cystitis after allogeneic hematopoietic stem cell transplanation]. Zhonghua Xue Ye Xue Za Zhi 2022; 43:488-493. [PMID: 35968592 PMCID: PMC9800226 DOI: 10.3760/cma.j.issn.0253-2727.2022.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Indexed: 01/01/2023]
Abstract
Objective: To examine the efficacy and safety of third-party bone marrow-derived mesenchymal stem cells (MSCs) in the treatment of refractory delayed hemorrhagic cystitis (LOHC) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) . Methods: Twenty patients with refractory LOHC received conventional therapy combined with MSCs obtained from third-party donors' bone marrow (BM) . MSCs were given intravenously at a dose of 1 × 10(6) cells/kg once weekly until either the symptoms improved or no changes in LOHC were seen after continuous infusion four times. BK viruria (BKV) -DNA, JC viruria (JCV) -DNA, and CMV-DNA were detected by real-time quantitative PCR before and 8 weeks after the MSCs infusion. Results: ① Of the 20 patients with refractory LOHC, 15 were males, and 5 were females, and the median age was 35 (15-56) years. There were 5 cases of acute lymphoblastic leukemia (ALL) , 9 cases of acute myeloid leukemia (AML) , 5 cases of myelodysplastic syndrome (MDS) , and 1 case of maternal plasma cell like dendritic cell tumor (BPDCN) . There were 4 cases of HLA identical transplantation and 16 cases of HLA incomplete transplantation. ②The median number of MSC infusions for each patient was 3 (range: 2-8) . Seventeen patients achieved complete response, and one had a partial response after treatment. The overall response rate was 90%. Over a median follow-up period of 397.5 days (range 39-937 days) post-transplantations, 13 patients survived, and 7 died. The causes of death included aGVHD (1 case) , infections (5 cases) , and TMA (1 case) . ③The copy numbers of BKV-DNA and CMV-DNA in urine in the 8th week after MSCs infusion were significantly lower than those observed before treatment (11342.1×10(8) copies/L vs 5.2×10(8) copies/L, P=0.016; 3170.0×10(4) copies/L vs 0.2×10(4) copies/L, P=0.006, respectively) , while JCV-DNA did not significantly differ when compared to before treatment (P=0.106) . ④ No adverse reactions related to MSC infusion occurred in any of the 20 patients. Conclusion: Third-party bone marrow-derived MSC has significant efficacy and good safety in the treatment of refractory LOHC after allogeneic HSCT.
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Affiliation(s)
- K Zhao
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - F Huang
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - X Y Chen
- Center for Stem Cell Biology and Tissue Engineering, Sun Yat-Sen University, Guangzhou 510080, China
| | - Y Chang
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - N Xu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - P C Shi
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - H Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - J Sun
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - P Xiang
- Center for Stem Cell Biology and Tissue Engineering, Sun Yat-Sen University, Guangzhou 510080, China
| | - Q F Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
| | - Z P Fan
- Department of Hematology, Nanfang Hospital, Southern Medical University, Gangzhou 510515, China
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30
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Chang Y, Yao T, Shi J, Wu YT, Yang F, Yuan CL, Nie XY, Wang FZ, Feng YL, Wang S. [Non/hypo-response to hepatitis B vaccination and influencing factors in HIV-infected patients in the context of different immunization schedules]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:696-701. [PMID: 35589575 DOI: 10.3760/cma.j.cn112338-20211214-00982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To study the non/hypo-response to hepatitis B vaccination in HIV-infected patients, identify the influencing factors and provide evidence for the development of hepatitis B prevention and control strategies and measures for special population. Methods: On the basis of the randomized controlled trial of 20 µg hepatitis B vaccine immunization at 0-1-6 month, 0-1-2-6 month and 60 µg hepatitis B vaccine immunization at 0-1-2-6 month, the HIV-infected patients who completed one-month follow-up after the full course vaccination were selected as study subjects. Quantification of antibody to hepatitis B surface antigen (anti-HBs) in serum samples was performed by using chemiluminescent microparticle immunoassay (CMIA) and demographic characteristics, disease history, HIV infection and treatment status of the study subjects were collected. Statistical analysis was conducted by χ2 test, t test, unconditional logistic regression and interaction analyses. Results: The non/hypo-response rates to hepatitis B vaccination were 34.65% (35/101), 24.49% (24/98) and 10.99% (10/91) in 20 µg group at 0-1-6 month or 0-1-2-6 month and 60 µg group at 0-1-2-6 month (P<0.001), respectively. Logistic regression analysis showed that after controlling for confounding factors, the risk for non/hypo-response was 0.22 times higher in HIV-infected patients receiving 60 µg hepatitis B vaccine at 0-1-2-6 month than in patients receiving 20 µg hepatitis B vaccine at 0-1-6 month (95%CI: 0.10-0.50), the risk for non/hypo-response was higher in men than in women (OR=3.65, 95%CI: 1.88-7.07), and the risk for non/hypo-response was 2.64 times higher in those without hepatitis B vaccination history than in those with hepatitis B vaccination history (95%CI: 1.10-6.32). Moreover, there were multiplicative interactions between immunization schedule and gender (OR=2.49, 95%CI: 1.24-5.00). Conclusion: The non/hypo-response rate to hepatitis B vaccination was significantly lower in HIV-infected patients receiving 60 µg hepatitis B vaccine at 0-1-2-6 month than in those receiving 20 µg hepatitis B vaccine at 0-1-6 month and 0-1-2-6 month. Gender, vaccination schedule and history of hepatitis B vaccination were the influencing factors of the non/hypo-response to hepatitis B vaccination. There was a multiplicative interaction between vaccination schedule and gender, and men receiving 20 µg hepatitis B vaccines had a higher risk for non/hypo-response to hepatitis B vaccination.
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Affiliation(s)
- Y Chang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - T Yao
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - J Shi
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Y T Wu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - F Yang
- Department of Infectious Diseases, The Second Hospital of Yuncheng, Yuncheng 044000, China
| | - C L Yuan
- Department of STD/AIDS Prevention and Control, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan 030012, China
| | - X Y Nie
- Department of STD/AIDS Prevention and Control, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan 030012, China
| | - F Z Wang
- Department of National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y L Feng
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Suping Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
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31
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Yang J, Tsai T, Chang Y, Chen C, Hung Y, Peng D, Wu C. Mesenchymal Stem/Stromal Cells: STUDY THE MECHANISM OF ACTION OF ELIXCYTE®, AN ALLOGENIC STEM CELL PRODUCT, ON OSTEOARTRITIS. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00216-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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32
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Kao C, Chang Y. W008 Improve the utility of immediate HbA1c testing in the management of diabetes. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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33
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Chang Y, Liu HL, Lin MB. ["Two spaces" lateral lymph node dissection based on fascia anatomy for low rectal cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:315-320. [PMID: 35461199 DOI: 10.3760/cma.j.cn441530-20220107-00016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
As a treatment of rectal cancer, lateral lymph node dissection (LLND) is still a controversial issue. The argument against LLND is that the procedure is complicated, and consequently results in a high incidence of postoperative urogenital dysfunction. The surgical modality from fascia to space is adopted by lateral lymph node dissection in "two spaces". This operation has significant advantages of clear location of nerves and blood vessels and simplified surgical procedures, so the surgical procedure can be repeated and modulated. The fascia propria of the rectum, urogenital fascia, vesicohypogastric fascia and parietal fascia constitute the dissection plane for lateral lymph node dissection.Two spaces refer to Latzko's pararectal space and paravesical space. During the establishment of fascia plane, the dissection of external iliac lymph node (No.293), commoniliac lymph node (No.273) and abdominal aortic bifurcation lymph node (No.280) can be performed. While in the "space" dissection, internal iliac lymph node (No.263), obturator lymph node (No.283), lateral sacral lymph node (No.260) and median sacral lymph node (No.270) can be removed. LD2 or LD3 lateral lymph node dissection prescribed by the Japanese Society of Colorectal Cancer can be completed according to the needs of the disease. This article describes the anatomical basis and standardized surgical procedures.
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Affiliation(s)
- Y Chang
- Department of General Surgery, Yangpu Hospital; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai 200090, China
| | - H L Liu
- Department of General Surgery, Yangpu Hospital; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai 200090, China
| | - M B Lin
- Department of General Surgery, Yangpu Hospital; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai 200090, China
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34
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Wang H, Zhang W, Jing Y, Chang Y, Liu Y. Controversial Variable Node Selection-Based Adaptive Belief Propagation Decoding Algorithm Using Bit Flipping Check for JSCC Systems. Entropy 2022; 24:e24030427. [PMID: 35327937 PMCID: PMC8947198 DOI: 10.3390/e24030427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/06/2022] [Accepted: 03/16/2022] [Indexed: 11/26/2022]
Abstract
An end-to-end joint source–channel (JSC) encoding matrix and a JSC decoding scheme using the proposed bit flipping check (BFC) algorithm and controversial variable node selection-based adaptive belief propagation (CVNS-ABP) decoding algorithm are presented to improve the efficiency and reliability of the joint source–channel coding (JSCC) scheme based on double Reed–Solomon (RS) codes. The constructed coding matrix can realize source compression and channel coding of multiple sets of information data simultaneously, which significantly improves the coding efficiency. The proposed BFC algorithm uses channel soft information to select and flip the unreliable bits and then uses the redundancy of the source block to realize the error verification and error correction. The proposed CVNS-ABP algorithm reduces the influence of error bits on decoding by selecting error variable nodes (VNs) from controversial VNs and adding them to the sparsity of the parity-check matrix. In addition, the proposed JSC decoding scheme based on the BFC algorithm and CVNS-ABP algorithm can realize the connection of source and channel to improve the performance of JSC decoding. Simulation results show that the proposed BFC-based hard-decision decoding (BFC-HDD) algorithm (ζ = 1) and BFC-based low-complexity chase (BFC-LCC) algorithm (ζ = 1, η = 3) can achieve about 0.23 dB and 0.46 dB of signal-to-noise ratio (SNR) defined gain over the prior-art decoding algorithm at a frame error rate (FER) = 10−1. Compared with the ABP algorithm, the proposed CVNS-ABP algorithm and BFC-CVNS-ABP algorithm achieve performance gains of 0.18 dB and 0.23 dB, respectively, at FER = 10−3.
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Affiliation(s)
- Hao Wang
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.J.); (Y.C.)
| | - Wei Zhang
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.J.); (Y.C.)
| | - Yizhe Jing
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.J.); (Y.C.)
| | - Yanyan Chang
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.J.); (Y.C.)
| | - Yanyan Liu
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300071, China
- Correspondence:
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35
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Wang H, Zhang W, Chang Y, Gao J, Liu Y. Low-Complexity Chase Decoding of Reed–Solomon Codes Using Channel Evaluation. Entropy 2022; 24:e24030424. [PMID: 35327934 PMCID: PMC8947531 DOI: 10.3390/e24030424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 03/10/2022] [Accepted: 03/17/2022] [Indexed: 02/04/2023]
Abstract
A novel time-varying channel adaptive low-complexity chase (LCC) algorithm with low redundancy is proposed, where only the necessary number of test vectors (TVs) are generated and key equations are calculated according to the channel evaluation to reduce the decoding complexity. The algorithm evaluates the error symbol numbers by counting the number of unreliable bits of the received code sequence and dynamically adjusts the decoding parameters, which can reduce a large number of redundant calculations in the decoding process. We provide a simplified multiplicity assignment (MA) scheme and its architecture. Moreover, a multi-functional block that can implement polynomial selection, Chien search and the Forney algorithm (PCF) is provided. On this basis, a high-efficiency LCC decoder with adaptive error-correcting capability is proposed. Compared with the state-of-the-art LCC (TV = 16) decoding, the number of TVs of our decoder was reduced by 50.4% without loss of the frame error rate (FER) performance. The hardware implementation results show that the proposed decoder achieved 81.6% reduced average latency and 150% increased throughput compared to the state-of-the-art LCC decoder.
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Affiliation(s)
- Hao Wang
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.C.); (J.G.)
| | - Wei Zhang
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.C.); (J.G.)
| | - Yanyan Chang
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.C.); (J.G.)
| | - Jiajing Gao
- School of Microelectronics, Tianjin University, Tianjin 300072, China; (H.W.); (W.Z.); (Y.C.); (J.G.)
| | - Yanyan Liu
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300071, China
- Correspondence:
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36
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An FP, Andriamirado M, Balantekin AB, Band HR, Bass CD, Bergeron DE, Berish D, Bishai M, Blyth S, Bowden NS, Bryan CD, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Classen T, Conant AJ, Cummings JP, Dalager O, Deichert G, Delgado A, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolinski MJ, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Erickson A, Foust BT, Gaison JK, Galindo-Uribarri A, Gallo JP, Gilbert CE, Gonchar M, Gong GH, Gong H, Grassi M, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, Hansell AB, He M, Heeger KM, Heffron B, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Koblanski J, Jaffe DE, Jayakumar S, Jen KL, Ji XL, Ji XP, Johnson RA, Jones DC, Kang L, Kettell SH, Kohn S, Kramer M, Kyzylova O, Lane CE, Langford TJ, LaRosa J, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Lu X, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Maricic J, Marshall C, McDonald KT, McKeown RD, Mendenhall MP, Meng Y, Meyer AM, Milincic R, Mueller PE, Mumm HP, Napolitano J, Naumov D, Naumova E, Neilson R, Nguyen TMT, Nikkel JA, Nour S, Ochoa-Ricoux JP, Olshevskiy A, Palomino JL, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Pushin DA, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Searles M, Steiner H, Sun JL, Surukuchi PT, Tmej T, Treskov K, Tse WH, Tull CE, Tyra MA, Varner RL, Venegas-Vargas D, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weatherly PB, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Wilhelmi J, Wong HLH, Woolverton A, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang SQ, Zhang X, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Joint Determination of Reactor Antineutrino Spectra from ^{235}U and ^{239}Pu Fission by Daya Bay and PROSPECT. Phys Rev Lett 2022; 128:081801. [PMID: 35275656 DOI: 10.1103/physrevlett.128.081801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/17/2021] [Accepted: 10/26/2021] [Indexed: 06/14/2023]
Abstract
A joint determination of the reactor antineutrino spectra resulting from the fission of ^{235}U and ^{239}Pu has been carried out by the Daya Bay and PROSPECT Collaborations. This Letter reports the level of consistency of ^{235}U spectrum measurements from the two experiments and presents new results from a joint analysis of both data sets. The measurements are found to be consistent. The combined analysis reduces the degeneracy between the dominant ^{235}U and ^{239}Pu isotopes and improves the uncertainty of the ^{235}U spectral shape to about 3%. The ^{235}U and ^{239}Pu antineutrino energy spectra are unfolded from the jointly deconvolved reactor spectra using the Wiener-SVD unfolding method, providing a data-based reference for other reactor antineutrino experiments and other applications. This is the first measurement of the ^{235}U and ^{239}Pu spectra based on the combination of experiments at low- and highly enriched uranium reactors.
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Affiliation(s)
- F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - M Andriamirado
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - A B Balantekin
- Department of Physics, University of Wisconsin, Madison, Madison, Wisconsin
| | - H R Band
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - C D Bass
- Department of Physics, Le Moyne College, Syracuse, New York
| | - D E Bergeron
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - D Berish
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - N S Bowden
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - C D Bryan
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Department of Physics, University of Wisconsin, Madison, Madison, Wisconsin
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - T Classen
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - A J Conant
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - G Deichert
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - A Delgado
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - M J Dolinski
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Erickson
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia
| | - B T Foust
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - J K Gaison
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - A Galindo-Uribarri
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - C E Gilbert
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - M Grassi
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - S Hans
- Brookhaven National Laboratory, Upton, New York
| | - A B Hansell
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - B Heffron
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - J Koblanski
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York
| | - S Jayakumar
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
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- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - O Kyzylova
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - C E Lane
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - T J Langford
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - J LaRosa
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | | | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - X Lu
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - J Maricic
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - M P Mendenhall
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - A M Meyer
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - R Milincic
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - P E Mueller
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - H P Mumm
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J Napolitano
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R Neilson
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J A Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - S Nour
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J L Palomino
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - D A Pushin
- Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - M Searles
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M A Tyra
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - R L Varner
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - D Venegas-Vargas
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - B Viren
- Brookhaven National Laboratory, Upton, New York
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - P B Weatherly
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - J Wilhelmi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - A Woolverton
- Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X Zhang
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Chang Y, Fan YH, Huang JY. Dual circular incision at prostate apex and bladder neck to optimize sphincter preservation during thulium laser enucleation of the prostate. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)01279-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Zhang G, Liu W, Gao Z, Chang Y, Yang S, Peng Q, Ge S, Kang B, Shao J, Chang H. Antigenic and immunogenic properties of recombinant proteins consisting of two immunodominant African swine fever virus proteins fused with bacterial lipoprotein OprI. Virol J 2022; 19:16. [PMID: 35062983 PMCID: PMC8781047 DOI: 10.1186/s12985-022-01747-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 01/12/2022] [Indexed: 12/16/2022] Open
Abstract
Abstract
Background
African swine fever (ASF) is a highly fatal swine disease, which threatens the global pig industry. There is no commercially available vaccine against ASF and effective subunit vaccines would represent a real breakthrough.
Methods
In this study, we expressed and purified two recombinant fusion proteins, OPM (OprI-p30-modified p54) and OPMT (OprI-p30-modified p54-T cell epitope), which combine the bacterial lipoprotein OprI with ASF virus proteins p30 and p54. Purified recombinant p30 and modified p54 expressed alone or fused served as controls. The activation of dendritic cells (DCs) by these proteins was first assessed. Then, humoral and cellular immunity induced by the proteins were evaluated in mice.
Results
Both OPM and OPMT activated DCs with elevated expression of relevant surface molecules and proinflammatory cytokines. Furthermore, OPMT elicited the highest levels of antigen-specific IgG responses, cytokines including interleukin-2, interferon-γ, and tumor necrosis factor-α, and proliferation of lymphocytes. Importantly, the sera from mice vaccinated with OPM or OPMT neutralized more than 86% of ASF virus in vitro.
Conclusions
Our results suggest that OPMT has good immunostimulatory activities and immunogenicity in mice, and might be an appropriate candidate to elicit immune responses in swine. Our study provides valuable information on further development of a subunit vaccine against ASF.
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Chang Y, Semsarian C, Bagnall R. Bioinformatic Re-analysis of Data From the Australian Genomics Cardiovascular Genetic Disorders Flagship. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Li FD, Tong ZD, Chang Y, Li KF, Gu X, Zhang T, Lin JF. Eggs Consumption in Relation to Lower Risk of Cognitive Impairment in Elderly: Findings from a 6-Year Cohort Study. J Nutr Health Aging 2022; 26:771-777. [PMID: 35934821 DOI: 10.1007/s12603-022-1810-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To evaluate the longitudinal association of eggs consumption with cognitive function in Chinese elderly. DESIGN Prospective cohort study. PARTICIPANTS 9028 participants aged ≥60 years from Zhejiang Ageing and Health Cohort Study without cognitive impairment at baseline survey. MEASUREMENTS Cognitive function was assessed through the Mini-Mental State Examination (MMSE) at baseline and three waves of follow-up (2015, 2016, and 2019-2020). Data on eggs consumption was collected in the diet habits section within the questionnaire at baseline. Log-binomial regression models with the Generalized Estimating Equations, controlled for an extensive range of potential confounders, were used to evaluate the association and estimate relative risks (RRs). RESULTS After 6 years of follow-up, 3266 (36.18%) participants were indicated as cognitive impairment by MMSE at least once. Compared with non-consumers or less-than-weekly consumers, participants consuming 0.1-2.9 eggs/week and 3.0-5.9 eggs/week had 18% (RR=0.82, 95%CI 0.76-0.89) and 9% (RR=0.91, 95%CI 0.84-0.99) lower risks of cognitive impairment respectively, whereas no association was found in those consuming ≥6.0 eggs/week (P=0.32). Moreover, infrequent lower-quantity consumption (1-2 days/week and 0.1-1.9 eggs/day), infrequent higher-quantity consumption (1-2 days/week and ≥2.0 eggs/day), and frequent lower-quantity consumption (≥3 days/week and 0.1-1.9 eggs/day) were associated with better cognitive performance, whereas null association was found among frequent higher-quantity consumers (≥3 days/week and ≥2.0 eggs/day). The sensitivity analyses yielded consistent results to the main analysis. CONCLUSION Limited eggs consumption is prospectively related to a lower risk of cognitive impairment in Chinese elderly.
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Affiliation(s)
- F D Li
- Professor Junfen Lin, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou 310051, Zhejiang, China. . Tel: +86-571-87115131. Fax: +86-571-87115298
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Sun EJ, Wang Y, Li YS, Bai XY, Sun GJ, Wang SS, Chang Y. Noncovalently Metalloporphyrins Functionalized by Graphene Oxide for Photodegradation of Methylene Blue. RUSS J INORG CHEM+ 2021. [DOI: 10.1134/s0036023621130076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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42
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Zhang G, Liu W, Gao Z, Yang S, Zhou G, Chang Y, Ma Y, Liang X, Shao J, Chang H. Antigenicity and immunogenicity of recombinant proteins comprising African swine fever virus proteins p30 and p54 fused to a cell-penetrating peptide. Int Immunopharmacol 2021; 101:108251. [PMID: 34715492 DOI: 10.1016/j.intimp.2021.108251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 01/11/2023]
Abstract
African swine fever (ASF) is a highly fatal swine disease threatening the global pig industry. Currently, vaccine is not commercially available for ASF. Hence, it is desirable to develop effective subunit vaccines against ASF. Here, we expressed and purified two recombinant fusion proteins comprising ASFV proteins p30 and p54 fused to a novel cell-penetrating peptide Z12, which were labeled as ZPM (Z12-p30-modified p54) and ZPMT (Z12-p30-modified p54-T cell epitope). Purified recombinant p30 and modified p54 expressed alone or fused served as controls. The transduction capacity of these recombinant proteins was assessed in RAW264.7 cells. Both ZPM and ZPMT exhibited higher transduction efficiency than the other proteins. Subsequently, humoral and cellular immune responses elicited by these proteins were evaluated in mice. ZPMT elicited the highest levels of antigen-specific IgG responses, cytokines (interleukin-2, interferon-γ, and tumor necrosis factor-α) and lymphocyte proliferation. Importantly, sera from mice immunized with ZPM or ZPMT neutralized greater than 85% of ASFV in vitro. Our results indicate that ZPMT induces potent neutralizing antibody responses and cellular immunity in mice. Therefore, ZPMT may be a suitable candidate to elicit immune responses in swine, providing valuable information for the development of subunit vaccines against ASF.
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Affiliation(s)
- Guanglei Zhang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Wei Liu
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Zhan Gao
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Sicheng Yang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Guangqing Zhou
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Yanyan Chang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Yunyun Ma
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Xiaxia Liang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China
| | - Junjun Shao
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China.
| | - Huiyun Chang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, China.
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Chang Y, Ignatova D, Fassnacht C, Guenova E. 264 Increased chlormethine induced DNA double stranded breaks in malignant T cells from mycosis fungoides skin lesions. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.08.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Feng YL, Chang Y, Shi J, Lan GH, Lu HY, Xiang SM, Wang FZ, Wang SP. [Immunization effect and persistence of hepatitis B vaccine in HIV-infected patients with different CD4 +T cell levels]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1559-1565. [PMID: 34814584 DOI: 10.3760/cma.j.cn112338-20210319-00222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the immunogenicity and persistence of hepatitis B vaccine in HIV-infected patients with different CD4+T cell (CD4) levels, and analyze the influence effect of CD4 levels on immunization response. Methods: A total of 182 HIV-infected patients who participated in a randomized controlled trial of 20 µg and 60 µg hepatitis B vaccination at month 0, 1, and 6 in 2014 by Guangxi Zhuang Atonomous Region CDC and Ningming county CDC were surveyed. Six months later after the first dose and 1 month, 6 months, 1 year, and 3 years later after the full course of the vaccination, 5 ml of the venous blood of the patients was collected, and the anti-HBs was detected by Chemiluminescent Microparticle Immunoassay (CMIA). On the basis of previous studies, this study focused on analyzing the immunogenicity and persistence of hepatitis B vaccine under different CD4 levels. Results: One month later after the whole course of hepatitis B vaccination, the anti-HBs geometric mean concentration (GMC), anti-HBs positive rate (≥10 mIU/ml) and strong positive rate (≥100 mIU/ml) in HIV patients with CD4 <350 cells/µl were 442.50 mIU/ml, 71.05% (27/38) and 44.74% (17/38), respectively, which were significantly lower than those HIV-infected patients with CD4 ≥350 cells/µl [583.90 mIU/ml, 92.13% (117/127) and 77.95% (99/127)] (P<0.05). After controlling the confounding factors, the probability of being anti-HBs positive induced by hepatitis B vaccine in patients with CD4 <350 cells/µl was 0.14 times higher than in those with CD4≥350 cells/µl (95%CI: 0.03-0.62), and patients with CD4 <350 cells/µl had higher risk of no response. From 6 months to 3 years after the whole course of the vaccination, the anti-HBs GMC (195.00-27.55 mIU/ml vs. 300.10-45.81 mIU/ml), the positive rate (56.67%-36.67% vs. 78.57%- 51.58%) and the strong positive rate (33.33%-6.67% vs.44.64%-15.79%) in patients with CD4 <350 cells/µl gradually declined, lower than the levels in those with CD4 ≥350 cells/µl. Conclusions: HIV-infected patients with CD4 <350 cells/µl have high risk of no response to hepatitis B vaccination and poor immune persistence. It is necessary to strengthen the anti-HBs monitoring in HIV-infected patients, with special attention to those with CD4 <350 cells/µl. When anti-HBs is negative, hepatitis B vaccine should be injected as early as possible.
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Affiliation(s)
- Y L Feng
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Y Chang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - J Shi
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - G H Lan
- Institute of AIDS Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China
| | - H Y Lu
- Institute of AIDS Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China
| | - S M Xiang
- Ningming County Center for Disease Control and Prevention, Ningming 532500, China
| | - F Z Wang
- Department of National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - S P Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China
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Sanai N, Tien A, Jiang J, Chang Y, Pennington-Krygier C, DeSantis A, Fujita Y, Kim S, Li J, Mehta S. OS05.8.A A Phase 0/1 ‘Trigger’ Trial of Ribociclib Plus Everolimus in Recurrent High-Grade Glioma. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab180.024] [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: 11/12/2022] Open
Abstract
Abstract
BACKGROUND
The RB-CDK4/6 and mTOR signaling pathways are deregulated in high-grade glioma (HGG) and mTOR activation is a potential mechanism of resistance to CDK4/6 inhibition. This study evaluates the tumor pharmacokinetics (PK) and tumor pharmacodynamics (PD) of combined CDK4/6 and mTOR inhibition in recurrent HGG patients.
MATERIAL AND METHODS
Eligible patients had recurrent HGG with (1) intact RB expression, (2) CDKN2A/B deletion or CDK4/6 amplification, and (3) PTEN loss or PIK3CA mutations. Six patients received five days of presurgical ribociclib (400mg QD) plus everolimus (2.5mg QD) and then underwent tumor resection at 2, 8 or 24 hours following the last dose. Five subsequent dose-escalation cohorts each enrolled three additional patients, reaching a maximum dose-level of ribociclib (600mg QD) plus everolimus (60mg QW). Tumor tissue (gadolinium [Gd]-enhancing and nonenhancing regions), CSF, and plasma were collected. Total and unbound drug concentrations were determined using validated LC-MS/MS methods. Tumor PD effects, including RB and S6 phosphorylation, were compared to matched archival tissue. A PK ‘trigger’ (i.e., unbound concentration > 5-fold biochemical IC50) and a PD ‘trigger’ (>30% decrease in both pRB and pS6) were set for each drug. Gd-nonenhancing tissue exhibiting both PK and PD effects in excess of these thresholds qualified patients for postoperative combination therapy.
RESULTS
21 patients with WHO Grade III (n=2) and WHO Grade IV (n=19) gliomas were enrolled. No dose-limiting toxicities were observed. Following presurgical drug, all patients demonstrated marked decrease in Gd-enhancement on preoperative MRI. In Gd-nonenhancing tumor regions, the median unbound concentration of ribociclib was 719 nM (i.e., > 5-fold biochemical IC50 for CDK4/6 inhibition), whereas the unbound everolimus tumor concentrations in all patients were below the lower limit of quantitation (i.e., < 0.2 nM). The median total concentrations of everolimus in tumors at dose-levels 0 to 5 were 2.9, 8.8, 10.3, 5.0, 15.7, and 13.7 nM, respectively. Across all dose-levels, 62% (13/21) and 22% (5/21) of tumors demonstrated decreased tumor RB and S6 phosphorylation, respectively. Tumor proliferation (MIB-1) was decreased in 67% (14/21) of all patients.
CONCLUSION
In adult HGG, ribociclib achieves pharmacologically-relevant concentrations in Gd-nonenhancing tumor, consistent with the observed tumor PD effects. Everolimus exhibits very limited penetration into human glioma tissue. Our study supports further development of ribociclib, but not everolimus, for the treatment of glioma patients.
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Affiliation(s)
- N Sanai
- Barrow Neurological Institute, Phoenix, AZ, United States
| | - A Tien
- Barrow Neurological Institute, Phoenix, AZ, United States
| | - J Jiang
- Karmanos Cancer Institute, Detroit, MI, United States
| | - Y Chang
- Barrow Neurological Institute, Phoenix, AZ, United States
| | | | - A DeSantis
- Barrow Neurological Institute, Phoenix, AZ, United States
| | - Y Fujita
- Barrow Neurological Institute, Phoenix, AZ, United States
| | - S Kim
- Karmanos Cancer Institute, Detroit, MI, United States
| | - J Li
- Karmanos Cancer Institute, Detroit, MI, United States
| | - S Mehta
- Barrow Neurological Institute, Phoenix, AZ, United States
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Schwager E, Jansson K, Rahman A, Schiffer S, Chang Y, Boverman G, Gross B, Xu-Wilson M, Boehme P, Truebel H, Frassica JJ. Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. NPJ Digit Med 2021; 4:133. [PMID: 34504281 PMCID: PMC8429640 DOI: 10.1038/s41746-021-00505-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 08/09/2021] [Indexed: 02/05/2023] Open
Abstract
Heterogeneous patient populations, complex pharmacology and low recruitment rates in the Intensive Care Unit (ICU) have led to the failure of many clinical trials. Recently, machine learning (ML) emerged as a new technology to process and identify big data relationships, enabling a new era in clinical trial design. In this study, we designed a ML model for predictively stratifying acute respiratory distress syndrome (ARDS) patients, ultimately reducing the required number of patients by increasing statistical power through cohort homogeneity. From the Philips eICU Research Institute (eRI) database, no less than 51,555 ARDS patients were extracted. We defined three subpopulations by outcome: (1) rapid death, (2) spontaneous recovery, and (3) long-stay patients. A retrospective univariate analysis identified highly predictive variables for each outcome. All 220 variables were used to determine the most accurate and generalizable model to predict long-stay patients. Multiclass gradient boosting was identified as the best-performing ML model. Whereas alterations in pH, bicarbonate or lactate proved to be strong predictors for rapid death in the univariate analysis, only the multivariate ML model was able to reliably differentiate the disease course of the long-stay outcome population (AUC of 0.77). We demonstrate the feasibility of prospective patient stratification using ML algorithms in the by far largest ARDS cohort reported to date. Our algorithm can identify patients with sufficiently long ARDS episodes to allow time for patients to respond to therapy, increasing statistical power. Further, early enrollment alerts may increase recruitment rate.
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Affiliation(s)
- E Schwager
- Philips Research North America, Cambridge, MA, USA
| | - K Jansson
- Research & Development, Pharmaceuticals, Bayer AG, Wuppertal, Germany
| | - A Rahman
- Philips Research North America, Cambridge, MA, USA
| | - S Schiffer
- Research & Development, Pharmaceuticals, Bayer AG, Wuppertal, Germany
| | - Y Chang
- Philips Research North America, Cambridge, MA, USA
| | - G Boverman
- Philips Research North America, Cambridge, MA, USA
| | - B Gross
- Philips Research North America, Cambridge, MA, USA
| | - M Xu-Wilson
- Philips Research North America, Cambridge, MA, USA
| | - P Boehme
- Research & Development, Pharmaceuticals, Bayer AG, Wuppertal, Germany.,Faculty of Health, Witten/Herdecke University, Witten, Germany
| | - H Truebel
- Research & Development, Pharmaceuticals, Bayer AG, Wuppertal, Germany. .,Faculty of Health, Witten/Herdecke University, Witten, Germany.
| | - J J Frassica
- Philips Research North America, Cambridge, MA, USA. .,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Wade A, Chang Y, Carithers T. Infrastructure Needs Might Hinder Implementation of School Kitchen Equipment Upgrades: Evidence from Mississippi Schools. J Acad Nutr Diet 2021. [DOI: 10.1016/j.jand.2021.06.158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Wang YL, Chang Y, Li SL, Wang JG. [Methods and effects of high-frequency color Doppler ultrasound assisted reverse island flap of dorsal digital artery of ulnar thumb for repairing skin and soft tissue defects in the distal end of the same finger]. Zhonghua Shao Shang Za Zhi 2021; 37:555-561. [PMID: 34139831 DOI: 10.3760/cma.j.cn501120-20210223-00063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the methods and effects of high-frequency color Doppler ultrasound assisted reverse island flap of dorsal digital artery of ulnar thumb for repairing skin and soft tissue defects in the distal end of the same finger. Methods: The retrospective cohort study method was applied. From March 2014 to January 2020, 43 patients with skin and soft tissue defects in the distal end of thumb were hospitalized in the Department of Hand and Foot Surgery of Yidu Central Hospital of Weifang, including 28 males and 15 females, aged 19-58 years. The time from injury to operation was 4 to 10 hours, and the area of wound defect was 1.5 cm×1.0 cm-5.0 cm×3.0 cm. The type and course of dorsal digital artery of ulnar thumb were detected by high-frequency color Doppler ultrasound before operation, based on which the reverse transfer of the island flap of dorsal digital artery of ulnar thumb was designed to repair the skin and soft tissue defects in the distal end of the same finger. The patients with absence of the dorsal digital artery of ulnar thumb were repaired by the greater fish reverse island flap pedicled with the radial palmar artery. The area of the flap was 2.0 cm×1.5 cm-5.5 cm×3.5 cm. The donor site wound was directly closed by suturing or covered with split-thickness skin graft from the inner side of the upper arm in the same arm. The status of dorsal digital artery of ulnar thumb detected by high frequency color Doppler ultrasound before operation was recorded. The type, course, and distribution of the dorsal digital artery of ulnar thumb detected before operation were compared with those observed during the operation. The survival of the flap was observed after operation. During the last follow-up, the appearance of the donor and recipient area of flaps was observed, the thumb function was evaluated with trial standard for the evaluation of the functions of the upper limbs of the Hand Surgery Society of the Chinese Medical Association, and the sensory function of the area transplanted with flap was evaluated with the sensory function evaluation standard. Results: The results of high-frequency color Doppler ultrasound showed that the dorsal digital artery of ulnar thumb was absent in 2 patients, while 41 patients had the dorsal digital artery of ulnar thumb, among which 20 cases were type 1 that started from the first dorsal metacarpal artery and ran on the surface of the first interosseous dorsal muscle; 16 cases were type 2 that started from the deep branch of the radial artery or the main artery of thumb and ran in the deep surface of the first interosseous dorsal muscle, including 10 cases of type 2a with the starting point in the basal region of the first metacarpal bone and 6 cases of type 2b with the starting point in the first metacarpal bone region; 5 cases were type 3 that started from the confluence of the first dorsal metacarpal artery and the main thumb artery in the region of the first metacarpophalangeal joint. The outer diameter of the vessel at the beginning of the dorsal digital artery of ulnar thumb was (1.12±0.31) mm, and the outer diameter of the vessel at the beginning of the accompany vein was (0.63±0.21) mm. The dorsal digital artery of ulnar thumb was concentrated in the ulnar side of the first metacarpophalangeal joint and snuff box region. The type, course, and distribution range of the dorsal digital artery of ulnar thumb observed during the operation were consistent with the results detected by high-frequency color Doppler ultrasound before operation. After the operation, the flaps survived in 43 patients. The patients were followed up for 6 months to 1 year. During the last follow-up, only linear scars were left in the donor area; there were no obvious pigmentation in the area transplanted with reverse island flap of dorsal digital artery of ulnar thumb, with good texture and elasticity, and beautiful appearance; the thumb function was evaluated as excellent in 23 cases, good in 17 cases, and fair in 3 cases; the sensory function of the area transplanted with flap was evaluated as S4 level in 16 cases, S3 level in 22 cases, and S2 level in 5 cases. Conclusions: The reverse island flap of dorsal digital artery of ulnar thumb is one of the ideal methods to repair the skin and soft tissue defect in the distal end of the same finger, especially that beyond the distal interphalangeal joint. Preoperative detection with high-frequency color Doppler ultrasound can identify the type and distribution of dorsal digital artery of ulnar thumb, so as to design a personalized operation plan, resulting in good appearance of the donor and recipient area and thumb function after operation.
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Affiliation(s)
- Y L Wang
- Department of Hand and Foot Surgery, Yidu Central Hospital of Weifang, Weifang 262500, China
| | - Y Chang
- Department of Hand and Foot Surgery, Yidu Central Hospital of Weifang, Weifang 262500, China
| | - S L Li
- Department of Anesthesiology, Yidu Central Hospital of Weifang, Weifang 262500, China
| | - J G Wang
- Department of Orthopaedics, Traditional Chinese Medicine Hospital of Qingzhou, Weifang 262500, China
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Guo Q, Chang Y. P–802 The fate and regenerative efficiency of differently administered BMSCs in thin-endometrium rat models. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.801] [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: 11/13/2022] Open
Abstract
Abstract
Study question
This study aims to compare the engraftment, retaining time and therapeutic efficiency of differently administered BMSCs and help to select an optimal therapeutic route in clinical settings.
Summary answer
Compared with intrauterine infusion, BMSCs could better promote angiogenesis by upregulating related cytokines, such as VEGF, when administered through the ipsilateral iliac artery.
What is known already
MSC-based therapy has become a promising method for endometrial disease(thin endomtrium or Ashernmen’s syndrowe). Therapeutic effects could always be observed even though different MSC administration routes or MSCs of different tissue sources were used in these studies. Only a few studies compared efficacy of different transplantation routes. However, the results seem to be controversial. Comparable therapeutic effects were reported in some studies, while others stated that systematic administration gave a better outcome than local administration.
Study design, size, duration
Experimental animal study. Forty-eight female Sprague-Dawley (SD) rats were used in this study. They were randomly assigned to 4 groups: normal, injured, intra-arterial and intra-uterine group. For all rats except for normal group, the thin endometrium models were established by infusing 95% ethanol into the uterine horns and BMSCs were transplanted either locally or intra-arterially after modeling. The therapeutic efficacy were evaluated in the following month.
Participants/materials, setting, methods
The thin endometrium models induced by ethanol in SD rats, GFP/Luciferin labeled BMSCs were injected either locally or intra-arterially. The retaining time and quantitative distribution were assessed by in vivo bioluminescence imaging and immune-histological analysis. The precise location and differentiation of differently administered BMSCs were determined by immunofluorescence methods. The endometrial fibrosis, angiogenesis were detected by immunohistochemistry and western blotting at a consecutive time after treatment to compare the therapeutic efficiency of two administration methods.
Main results and the role of chance
The engraftment and differentiation abiility were comparable in 2 groups. The luminescent signal both remained distinct and strong in the abdomen in the first 4 days post-treatment(7.98 × 105 and 6.02 × 105p/s for IU and IA group), indicating the precise and concentrated distribution of BMSCs administered both locally or intra-arterially. The luminescent signals disappeared under bioluminescence imaging over time. We further evaluated the precise distribution, differentiation ability and retaining time of the BMSCs delivered in two strategies by immunofluorescence analysis. All the GFP positive cell localized in stroma, but not in the epithelium or myometrium. Furthermore, there are significantly more positive staining in basal layer of the endometrium close to the glands and vessels than the outer layer of the endometrium in the intra-arterial group. At the 28th days post treatment, we could capture a few GFP staining in the basalis layel of endometrium in intra-arterial group and there were no GFP fluorescence signals detected in intra-uterine group(P < 0.05), suggesting a better survival of BMSCs administered intra-arterially. Differentiation ability of differently administered BMSCs were similar. A few BMSCs began to differentiate into stromal cell 12 days after therapy.
Limitations, reasons for caution
No pregnancy tests were carried out in these rats to further confirm the regeneration of thin endometrium and compare the therapeutic efficacy.
Wider implications of the findings: Our study unveiled that the location of MSCs might determined their regenerarive ability and retaining time, and provided an optimal therapeutic route in clinical settings.
Trial registration number
Not applicable
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Affiliation(s)
- Q Guo
- The Sixth Affiliated hospital of Sun Yat-sen University, center of reproductive medicine, Guangzhou- Guangdong, China
| | - Y Chang
- The Sixth Affiliated hospital of Sun Yat-sen University, center of reproductive medicine, Guangzhou- Guangdong, China
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Jackson C, Allington L, Chang Y, McClelland J, Gulliford S. PO-1976 Has the Covid-19 Pandemic increased willingness to engage with remote collection of outcome data? Radiother Oncol 2021. [PMCID: PMC8629146 DOI: 10.1016/s0167-8140(21)08427-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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