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Yuan M, Wang F, Sun T, Bian X, Zhang Y, Guo C, Yu L, Yao Z. Vitamin B 6 alleviates chronic sleep deprivation-induced hippocampal ferroptosis through CBS/GSH/GPX4 pathway. Biomed Pharmacother 2024; 174:116547. [PMID: 38599059 DOI: 10.1016/j.biopha.2024.116547] [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: 12/12/2023] [Revised: 03/19/2024] [Accepted: 04/04/2024] [Indexed: 04/12/2024] Open
Abstract
Several studies have found that sleep deprivation (SD) can lead to neuronal ferroptosis and affect hippocampal function. However, there are currently no effective interventions. Vitamin B6 is a co-factor for key enzymes in the transsulfuration pathway which is critical for maintaining cell growth in the presence of cysteine deprivation. The results showed that SD inhibited cystine-glutamate antiporter light chain subunit xCT protein expression and caused cysteine deficiency, which reduced the synthesis of the glutathione (GSH) to trigger neuronal ferroptosis. Nissl staining further revealed significant neuronal loss and shrinkage in the CA1 and CA3 regions of the hippocampus in SD mice. Typical ferroptotic indicators characterized by lipid peroxidation and iron accumulation were showed in the hippocampus after sleep deprivation. As expected, vitamin B6 could alleviate hippocampal ferroptosis by upregulating the expression of cystathionine beta-synthase (CBS) in the transsulfuration pathway, thereby replenishing the intracellular deficient GSH and restoring the expression of GPX4. Similar anti-ferroptotic effects of vitamin B6 were demonstrated in HT-22 cells treated with ferroptosis activator erastin. Furthermore, vitamin B6 had no inhibitory effect on erastin-induced ferroptosis in CBS-knockout HT22 cells. Our findings suggested chronic sleep deprivation caused hippocampal ferroptosis by disrupting the cyst(e)ine/GSH/GPX4 axis. Vitamin B6 alleviated sleep deprivation-induced ferroptosis by enhancing CBS expression in the transsulfuration pathway.
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Affiliation(s)
- Man Yuan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Feng Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Tieqiang Sun
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Xiangyu Bian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Yuxian Zhang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Changjiang Guo
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Lixia Yu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
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Zhang J, Boyer C, Zhang YX. Enhancing the Humidity Resistance of Triboelectric Nanogenerators: A Review. Small 2024:e2401846. [PMID: 38686690 DOI: 10.1002/smll.202401846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/10/2024] [Indexed: 05/02/2024]
Abstract
Triboelectric nanogenerators (TENGs) are sustainable energy resources for powering electronic devices from miniature to large-scale applications. However, their output performance and stability can deteriorate significantly when TENGs are exposed to moisture or humidity caused by the ambient environment or human physiological activities. This review provides an overview of the recent research advancements in enhancing the humidity resistance of TENGs. Various approaches have been reviewed including encapsulation techniques, surface modification of triboelectric materials to augment hydrophobicity or superhydrophobicity, the creation of fibrous architectures for effective moisture dissipation, leveraging water assistance for TENG performance enhancement, and other strategies like charge excitation. These research efforts contribute to the improvement of environmental adaptability and lead to expanded practical TENG applications both as energy harvesters and self-powered sensors. The efficacy of these strategies and future challenges are also discussed to facilitate the continued development of resilient TENGs in high humidity environments.
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Affiliation(s)
- Jin Zhang
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Cyrille Boyer
- School of Chemical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Y X Zhang
- School of Engineering, Design and Built Environment, Western Sydney University, Kingswood, NSW, 2751, Australia
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Ma H, Zhang Y, Li J, Xie T, Zhao Z. Deciphering the prognostic landscape of osteosarcoma: Integrating the roles of hippo pathway genes, programmed cell death, and the tumor immune microenvironment. Environ Toxicol 2024. [PMID: 38622820 DOI: 10.1002/tox.24280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/14/2024] [Accepted: 03/31/2024] [Indexed: 04/17/2024]
Abstract
Osteosarcoma is a highly aggressive cancer prevalent among adolescents and young adults, notorious for its tendency to metastasize to the lungs. This research delves into the molecular foundations of osteosarcoma by examining the role of the Hippo signaling pathway and its interaction with the tumor immune microenvironment (TME). Through analysis of transcriptomic data from the TARGET-OS dataset and control samples from GTEx, we identified a set of 131 genes that link high expression profiles in osteosarcoma with the Hippo pathway. A focused examination through univariate Cox regression analysis revealed eight key genes (DLG5, WNT11, TGFB2, DLG4, WNT16, ID2, WNT10B, and WNT10A) with a significant correlation to patient outcomes. Hierarchical clustering of these genes delineated two distinct patient groups with significantly different survival rates, a finding supported by Kaplan-Meier survival analysis. Further investigation into immune cell infiltration and expression profiles of immunoregulatory factors uncovered a notable pattern of immune evasion in the group with poorer prognosis, marked by reduced effector immune cell activity and lower levels of immunostimulatory factors. Single-cell sequencing highlighted the cellular diversity within osteosarcoma samples and identified markers differentiating malignant from nonmalignant cells, correlating these markers with prognostic risk scores. Our results emphasize the critical prognostic value of Hippo pathway genes and the TME in osteosarcoma, shedding light on new avenues for therapeutic intervention and patient-specific treatment strategies.
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Affiliation(s)
- Huayan Ma
- Medical College of Xizang Minzu Uhiversity, Xianyang, China
- Shanxi Provincial People's Hospital, Xi'an, China
| | - Yuxian Zhang
- Shanxi Provincial People's Hospital, Xi'an, China
| | - Jing Li
- Medical College of Xizang Minzu Uhiversity, Xianyang, China
| | - Tiantian Xie
- Shanxi Provincial People's Hospital, Xi'an, China
| | - Zhi Zhao
- Shanxi Provincial People's Hospital, Xi'an, China
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Tan F, Wang SY, Zhang YX, Zhang ZM, Zhu B, Wu YC, Yu MH, Yang Y, Li G, Zhang TK, Yan YH, Lu F, Fan W, Zhou WM, Gu YQ, Qiao B. Mechanism studies for relativistic attosecond electron bunches from laser-illuminated nanotargets. Phys Rev E 2024; 109:045205. [PMID: 38755824 DOI: 10.1103/physreve.109.045205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 12/05/2023] [Indexed: 05/18/2024]
Abstract
To find a way to control the electron-bunching process and the bunch-emitting directions when an ultraintense, linearly polarized laser pulse interacts with a nanoscale target, we explored the mechanisms for the periodical generation of relativistic attosecond electron bunches. By comparing the simulation results of three different target geometries, the results show that for nanofoil target, limiting the transverse target size to a small value and increasing the longitudinal size to a certain extent is an effective way to improve the total electron quantity in a single bunch. Then the subfemtosecond electronic dynamics when an ultrashort ultraintense laser grazing propagates along a nanofoil target was analyzed through particle-in-cell simulations and semiclassical analyses, which shows the detailed dynamics of the electron acceleration, radiation, and bunching process in the laser field. The analyses also show that the charge separation field produced by the ions plays a key role in the generation of electron bunches, which can be used to control the quantity of the corresponding attosecond radiation bunches by adjusting the length of the nanofoil target.
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Affiliation(s)
- F Tan
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - S Y Wang
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - Y X Zhang
- Department of Experimental Physics, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - Z M Zhang
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - B Zhu
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - Y C Wu
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - M H Yu
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - Y Yang
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - G Li
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - T K Zhang
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - Y H Yan
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - F Lu
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - W Fan
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - W M Zhou
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
| | - Y Q Gu
- National Key Laboratory of Plasma Physics, Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China
| | - B Qiao
- Center for Applied physics and Techology, Peking University, Beijing 100871, China
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Su LL, Kang XY, Li XT, Li YQ, Xue JP, Li HZ, Zhang YX. [Correlations between the average Young's modulus and histopathological characteristics of papillary thyroid carcinoma]. Zhonghua Zhong Liu Za Zhi 2024; 46:127-132. [PMID: 38418186 DOI: 10.3760/cma.j.cn112152-20231026-00263] [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: 03/01/2024]
Abstract
Objective: To explore the histopathological factors affecting the stiffness of papillary thyroid carcinoma (PTC). Methods: Ninety-six patients with PTC confirmed by surgery and pathology in Shanxi Bethune Hospital from January 2019 to December 2020 were selected, including 101 nodules. Two-dimensional ultrasound and shear-wave elastography (SWE) were performed before surgery and the average Young's modulus (Emean) of PTC nodules were measured. Histopathological examinations on the nodules were conducted after surgery to decide the lesion size, number of lesions, calcification type, presence or absence of capsular and extracapsular invasion, degree of fibrosis, microvessel density, and number of tumor cells. The correlations between the lesion size, degree of fibrosis, microvessel density, and number of tumor cells and the Emean were analyzed. The Emeans of nodules with different numbers of lesions, presence or absence of capsular and extracapsular invasion, and different pathological calcification types were compared. The multiple linear regression analysis was used to evaluate the histopathological factors influencing the Emean. Results: The ranges of the lesion sizes, degrees of fibrosis, microvascular density, numbers of tumor cells, and the Emeans of the 101 investigated PTC nodules were (1.29±0.95) cm, (30.64±18.37)%, (101.64±30.7) vessels per high power field, (373.52±149.87) cells per high power field, and (36.47±19.62) kPa, respectively. Correlation analysis showed that the lesion size of PTC and the degree of fibrosis were positively correlated with the Emean (r=0.660, P<0.001; r=0.789, P<0.001), while the microvessel density was negatively correlated with the Emean (r=-0.198, P=0.047). The Emean of the group with capsular and extracapsular invasion was higher than that of the group without (P=0.014). There were statistical differences in the Emeans among different types of pathological calcification (P<0.001). The multiple linear regression analysis showed that the lesion size (β=0.325, P<0.001), degree of fibrosis (β=0.563, P<0.001), psammoma bodies (β=0.177, P=0.001), stromal calcification (β=0.164, P=0.003), and mixed calcification of both psammoma bodies and stroma (β=0.163, P=0.003) were independent influencing factors for the Emean. The degree of fibrosis had the greatest impact on the Emean. Conclusions: The Emean of PTC lesions was correlated with the histopathological characteristics of PTC. The lesion size, degree of fibrosis, and calcification had significant impact on the Emean, among which the degree of fibrosis had the greatest impact.
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Affiliation(s)
- L L Su
- Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - X Y Kang
- Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - X T Li
- Department of Pathology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - Y Q Li
- Department of Pathology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - J P Xue
- Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - H Z Li
- Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - Y X Zhang
- Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
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Wang H, Jiang HY, Zhang YX, Jin HY, Fei BY, Jiang JL. Correction: Mesenchymal stem cells transplantation for perianal fistulas: a systematic review and meta-analysis of clinical trials. Stem Cell Res Ther 2024; 15:45. [PMID: 38365762 PMCID: PMC10874079 DOI: 10.1186/s13287-024-03664-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024] Open
Affiliation(s)
- H Wang
- Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China
| | - H Y Jiang
- Life Spring AKY Pharmaceuticals, Changchun, China
| | - Y X Zhang
- Changchun University of Chinese Medicine, Changchun, China
| | - H Y Jin
- Department of Gastrointestinal Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - B Y Fei
- Department of Gastrointestinal Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China.
| | - J L Jiang
- Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China.
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Wang W, Gong JN, Wang JF, Ding Y, Zhang YX, Liu JY, Yang YH. [Hemodynamic changes with serial balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:120-125. [PMID: 38309960 DOI: 10.3760/cma.j.cn112147-20231016-00237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
Objective: To monitor hemodynamic changes during serial balloon pulmonary angioplasty (BPA) for chronic thromboembolic pulmonary hypertension (CTEPH). Methods: General clinical data of CTEPH patients diagnosed from October 2017 to January 2022 in Beijing Chaoyang Hospital were collected, and 83 patients who underwent at least 1 BPA treatment were included to analyze their 6 min walking distance, WHO functional class, N-terminal B-type natriuretic peptide precursor (NT-proBNP), troponin I (cTnI) and haemodynamic indices. Baseline and follow-up after the final BPA clinical data and hemodynamics, functional status and serial hemodynamics before each series of BPA were collected to evaluate the efficacy of BPA for CTEPH patients. Complications and managements were documented to confirm the safety of BPA for CTEPH patients. Results: Three hundred and forty BPA procedures were performed in 83 CTEPH patients. The median number of BPA procedures was 4.0 and a total of 2104 vessels were dilated. In general, mPAP [from 50.0(42.0-55.25) mmHg(1 mmHg=0.133 kPa) to 32.0(27.0-42.0) mmHg, P<0.001], PVR[from (806.6±323.2) dyn·s·cm-5 to 420.0(295.0-613.5) dyn·s·cm-5, P<0.001] were significantly improved compared with baseline, but not CO and CI. Functional parameters including WHO functional class Ⅰ/Ⅱ/Ⅲ/Ⅳ (from 0/35/34/14 to 43/32/7/1, P<0.001), 6MWD [from 364.5(300.0-429.5)m to 461.0(409.0-501.0)m, P<0.001], NT-proBNP [from 1 357.0(232.0-2 715.0) ng/L to 141.0(57.0-627.8) ng/L,P<0.001] were significantly improved compared with baseline. A cumulative (compared to baseline) and serial (compared to preceding BPA session) analysis of the sequential BPA session confirmed that a major hemodynamic improvement in PVR and mPAP occurred in the first 3 serial BPA treatments. There was a dose-response relationship: the more segments that were treated, the greater were the subsequent reduction in PVR and mPAP. There were 32.0 complications (9.4%) associated with BPA procedures, and the most common complication was pulmonary hemorrhage caused by catheter-related vascular injury. Conclusions: BPA is an effective and safe alternative for technically non-operable CTEPH patients. The hemodynamic benefits of BPA in CTEPH patients were cumulative and correlated with the total number of vessels successfully dilated.
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Affiliation(s)
- W Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - J N Gong
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - J F Wang
- Department of Interventional Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Ding
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - Y X Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - J Y Liu
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - Y H Yang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
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Shi X, Su W, Wang J, Huang P, Huang C, Zeng W, Liu W, Zhang Y, Lin M, Li X. Serum Low C-Peptide Levels Correlate With Low Muscle Mass in Patients With Type 2 Diabetes Mellitus. Diabetes Care 2024; 47:e14-e16. [PMID: 38091480 PMCID: PMC10834391 DOI: 10.2337/dc23-1168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 11/20/2023] [Indexed: 01/21/2024]
Affiliation(s)
- Xiulin Shi
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Weijuan Su
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Jinyang Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Peiying Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Caoxin Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Wenhui Zeng
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Wei Liu
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Yuxian Zhang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Mingzhu Lin
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
| | - Xuejun Li
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, and Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, the First Affiliated Hospital of Xiamen University, School of Medicine, Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen University, Xiamen, China
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Zhang Y, Qu X, Wang L, Song L. Association of urine autoantibodies with disease activity in systemic lupus erythematosus. Front Med (Lausanne) 2024; 11:1346609. [PMID: 38314205 PMCID: PMC10835792 DOI: 10.3389/fmed.2024.1346609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/08/2024] [Indexed: 02/06/2024] Open
Abstract
Objective The presence of urinary autoantibodies in patients with systemic lupus erythematosus (SLE) has been confirmed by several studies; however, the significance of their presence in urine remains unclear. This study aims to further investigate the association between urine autoantibodies and disease activity as well as organ involvement in SLE. Methods This cross-sectional study included 89 SLE patients. Data collected included anti-nuclear antibody (ANA), anti-ENA antibodies, and anti-dsDNA antibody levels in both serum and urine, complement (C) 3, C4 levels in serum, SLE disease activity index-2000 (SLEDAI-2000), renal domains of SLEDAI (RSLEDAI) and non-renal SLEDAI (NRSLEDAI). Results The rate of positive urine ANA (uANA) was 33.3% (29/87) among the enrolled patients. Compared to the uANA negative group, the positive group exhibited significantly higher SLEDAI-2000 scores (7.85 ± 5.88 vs. 18.69 ± 6.93, p < 0.001), RSLEDAI scores [0 (0, 4.0) vs. 12.0 (8.0, 16.0), p < 0.001], and NRSLEDAI [4 (2.0, 8.0) vs. 6.0 (4.0, 9.5), p = 0.038]. Patients with positive urine anti-Sm antibody demonstrated significantly elevated SLEDAI-2000 scores compared to those who were negative (25.0 ± 8.80 vs. 10.09 ± 6.63, p < 0.001). Similarly, they also had higher RSLEDAI [16.0 (12.0, 16.0) vs. 4.0 (0, 8.0), p < 0.001] and NRSLEDAI [9.5 (6.0, 13.5) vs. 4.0 (3.0, 8.0), p = 0.012], as well as a greater prevalence of renal involvement compared to their negative counterparts (100% vs. 58.2, p = 0.022). There was a positive correlation between uANA titer and both SLEDAI-2000 (rs = 0.663, p < 0.001) and RSLEDAI (rs = 0.662, p < 0.001). The serum anti-dsDNA antibody level did not exhibit a significant correlation with RSLEDAI (rs = 0.143, p = 0.182). Conversely, the urine anti-dsDNA antibody level demonstrated a significant positive correlation with RSLEDAI (rs = 0.529, p < 0.001). Conclusion Urine ANA is associated with both global SLEDAI and RSLEDAI scores. Urine anti-Sm antibody is associated with an increased incidence of renal involvement in SLE. The urine anti-dsDNA antibody level, rather than the serum anti-dsDNA antibody level, exhibits a significant association with RSLEDAI in SLE.
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Affiliation(s)
- Yuxian Zhang
- Department of Rheumatology, Qilu Hospital, Shandong University, Jinan, China
- Qilu Hospital, Shandong Provincial Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Xiaoxia Qu
- Department of Rheumatology, Qilu Hospital, Shandong University, Jinan, China
- Qilu Hospital, Shandong Provincial Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Lishui Wang
- Department of Clinical Laboratory, Qilu Hospital, Shandong University, Jinan, China
| | - Lijun Song
- Department of Rheumatology, Qilu Hospital, Shandong University, Jinan, China
- Qilu Hospital, Shandong Provincial Clinical Research Center for Immune Diseases and Gout, Jinan, China
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Zhang Y, Cao F, Song W, Jia XF, Xie T, Wu CL, Yan P, Yu M, Rauber M, Salazar G, Szidat S, Zhang Y. Fossil and Nonfossil Sources of Winter Organic Aerosols in the Regional Background Atmosphere of China. Environ Sci Technol 2024; 58:1244-1254. [PMID: 38178789 DOI: 10.1021/acs.est.3c08491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Carbonaceous aerosols (CA) from anthropogenic emissions have been significantly reduced in urban China in recent years. However, the relative contributions of fossil and nonfossil sources to CA in rural and background regions of China remain unclear. In this study, the sources of different carbonaceous fractions in fine aerosols (PM2.5) from five background sites of the China Meteorological Administration Atmosphere Watch Network during the winter of 2019 and 2020 were quantified using radiocarbon (14C) and organic markers. The results showed that nonfossil sources contributed 44-69% to total carbon at these five background sites. Fossil fuel combustion was the predominant source of elemental carbon at all sites (73 ± 12%). Nonfossil sources dominated organic carbon (OC) in these background regions (61 ± 13%), with biomass burning or biogenic-derived secondary organic carbon (SOC) as the most important contributors. However, the relative fossil fuel source to OC in China (39 ± 13%) still exceeds those at other regional/background sites in Asia, Europe, and the USA. SOC dominated the fossil fuel-derived OC, highlighting the impact of regional transport from anthropogenic sources on background aerosol levels. It is therefore imperative to develop and implement aerosol reduction policies and technologies tailored to both the anthropogenic and biogenic emissions to mitigate the environmental and health risks of aerosol pollution across China.
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Affiliation(s)
- Yuxian Zhang
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Fujian Institute of Meteorological Sciences, Fuzhou 350028, China
| | - Fang Cao
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Wenhuai Song
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern 3012, Switzerland
| | - Xiao-Fang Jia
- Meteorological Observation Center, China Meteorological Administration, Beijing 100081, China
| | - Tian Xie
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Chang-Liu Wu
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Peng Yan
- Meteorological Observation Center, China Meteorological Administration, Beijing 100081, China
| | - Mingyuan Yu
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Martin Rauber
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern 3012, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern 3012, Switzerland
| | - Gary Salazar
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern 3012, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern 3012, Switzerland
| | - Sönke Szidat
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern 3012, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern 3012, Switzerland
| | - Yanlin Zhang
- School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
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11
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Zhang YX, Song Y, Hu JB, Yang SM, Feng ZP, He WW, Li QF, He YF. [Study of appropriate cut-off for diagnosis of primary aldosteronism by seated saline suppression test based on liquid chromatography with tandem mass spectrometry]. Zhonghua Nei Ke Za Zhi 2024; 63:66-73. [PMID: 38186120 DOI: 10.3760/cma.j.cn112138-20230731-00024] [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: 01/09/2024]
Abstract
Objective: To investigate the appropriate cut-off for diagnosis of primary aldosteronism (PA) by seated saline suppression test (SSST) based on liquid chromatography with tandem mass spectrometry (LC-MS/MS). Methods: In this cross-sectional study, patients who underwent SSST for suspected PA in the First Affiliated Hospital of Chongqing Medical University from January 2018 to March 2022 were evaluated. Briefly, 300 patients with PA and 119 with essential hypertension (EH) were included. Plasma aldosterone concentration (PAC) after SSST was determined by LC-MS/MS. Primary aldosteronism confirmatory testing (PACT) score was used as the reference standard for diagnosis of PA, and receiver operating characteristic (ROC) curve was used to explore the cut-off value. Results: The average age of the PA group was (50.8±10.5) years, and males accounted for 53.00% (n=159); the average age of the EH group was (49.4±11.2) years, and males accounted for 26.89% (n=32). The area under the ROC curve of PAC post-SSST was 0.819 (95%CI 0.775-0.862). When 40 pg/ml (110.8 pmol/L) was selected as the appropriate cut-off for diagnosis of PA, the sensitivity was 83.67% (95%CI 78.88%-87.56%) and specificity was 60.50% (95%CI 51.10%-69.21%). Thus, 95.09% (155/163) of patients with unilateral PA could be identified. Conclusion: PAC after SSST determined by LC-MS/MS has high efficacy for diagnosis of PA, and 40 pg/ml is recommended as the appropriate cut-off value.
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Affiliation(s)
- Y X Zhang
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Y Song
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - J B Hu
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - S M Yang
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Z P Feng
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - W W He
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Q F Li
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Y F He
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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12
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Zhai R, Tong G, Li Z, Song W, Hu Y, Xu S, Wei Q, Zhang X, Li Y, Liao B, Yuan C, Fan Y, Song G, Ouyang Y, Zhang W, Tang Y, Jin M, Zhang Y, Li H, Yang Z, Lin GN, Stein DJ, Xiong ZQ, Wang Z. Rhesus monkeys exhibiting spontaneous ritualistic behaviors resembling obsessive-compulsive disorder. Natl Sci Rev 2023; 10:nwad312. [PMID: 38152386 PMCID: PMC10751879 DOI: 10.1093/nsr/nwad312] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/29/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) is a chronic and debilitating psychiatric disorder that affects ∼2%-3% of the population globally. Studying spontaneous OCD-like behaviors in non-human primates may improve our understanding of the disorder. In large rhesus monkey colonies, we found 10 monkeys spontaneously exhibiting persistent sequential motor behaviors (SMBs) in individual-specific sequences that were repetitive, time-consuming and stable over prolonged periods. Genetic analysis revealed severely damaging mutations in genes associated with OCD risk in humans. Brain imaging showed that monkeys with SMBs had larger gray matter (GM) volumes in the left caudate nucleus and lower fractional anisotropy of the corpus callosum. The GM volume of the left caudate nucleus correlated positively with the daily duration of SMBs. Notably, exposure to a stressor (human presence) significantly increased SMBs. In addition, fluoxetine, a serotonergic medication commonly used for OCD, decreased SMBs in these monkeys. These findings provide a novel foundation for developing better understanding and treatment of OCD.
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Affiliation(s)
- Rongwei Zhai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Lingang Laboratory, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China
| | - Geya Tong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zheqin Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Weichen Song
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yang Hu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Sha Xu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Lingang Laboratory, Shanghai 200031, China
| | - Qiqi Wei
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Lingang Laboratory, Shanghai 200031, China
| | - Xiaocheng Zhang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Lingang Laboratory, Shanghai 200031, China
| | - Yi Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Bingbing Liao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chenyu Yuan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yinqing Fan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Ge Song
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yinyin Ouyang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Wenxuan Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yaqiu Tang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Minghui Jin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yuxian Zhang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - He Li
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhi Yang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Guan Ning Lin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Dan J Stein
- Translational Neuropsychiatry Unit (TNU), Department of Clinical Medicine, Aarhus University, Aarhus 8200, Denmark
| | - Zhi-Qi Xiong
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
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13
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Tian LL, Yu L, Zeng YM, Li Y, Guo Z, Li L, Zhang Y, Chu F. Stimuli-responsive grating with a tunable period and a diffraction order. Opt Lett 2023; 48:5551-5554. [PMID: 37910700 DOI: 10.1364/ol.503983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 09/30/2023] [Indexed: 11/03/2023]
Abstract
The next-generation diffraction grating not only requires a nonmechanical control and a remote control to generate a diffraction pattern but also requires a tunable period. Here, we propose a stimuli-responsive liquid crystal (LC) phase grating with a tunable period and a diffraction order. The stimuli-responsive LC diffraction grating is composed of periodically arranged electrodes on a double-sided glass substrate. By adjusting the driving scheme, the pitch and diffraction order of the LC grating can be switched between three different modes. The experimental results show that the LC grating has a lower driving voltage (∼5 V). In addition, the tunable LC grating can achieve more diffraction orders, which can be applied to a holographic display to achieve a wide-viewing angle and an enlarged size.
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Mao N, Xu YY, Zhang YX, Zhou H, Huang XB, Hou CL, Fan L. Phylogeny and species diversity of the genus Helvella with emphasis on eighteen new species from China. Fungal Syst Evol 2023; 12:111-152. [PMID: 38533478 PMCID: PMC10964050 DOI: 10.3114/fuse.2023.12.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 08/17/2023] [Indexed: 03/28/2024] Open
Abstract
Helvella is a widespread, frequently encountered fungal group appearing in forests, but the species diversity and molecular phylogeny of Helvella in China remains incompletely understood. In this work, we performed comprehensive phylogenetic analyses using multilocus sequence data. Six datasets were employed, including a five-locus concatenated dataset (ITS, nrLSU, tef1-α, rpb2, hsp), a two-locus concatenated dataset (ITS, nrLSU), and four single-locus datasets (ITS) that were divided based on the four different phylogenetic clades of Helvella recognized in this study. A total of I 946 sequences were used, of which 713 were newly generated, including 170 sequences of ITS, 174 sequences of nrLSU, 131 sequences of tef1-α, 107 sequences of rpb2 and 131 sequences of hsp. The phylogeny based on the five-locus concatenated dataset revealed that Helvellas. str. is monophyletic and four phylogenetic clades are clearly recognized, i.e., Acetabulum clade, Crispa clade, Elastica clade, and Lacunosa clade. A total of 24 lineages or subclades were recognized, II of which were new, the remaining 13 corresponding with previous studies. Chinese Helvella species are distributed in 22 lineages across four clades. Phylogenetic analyses based on the two-locus concatenated dataset and four single-locus datasets confirmed the presence of at least 93 phylogenetic species in China. Among them, 58 are identified as known species, including a species with a newly designated lectotype and epitype, 18 are newly described in this paper, and the remaining 17 taxa are putatively new to science but remain unnamed due to the paucity or absence of ascomatal materials. In addition, the Helvella species previously recorded in China are discussed. A list of 76 confirmed species, including newly proposed species, is provided. The occurrence of H. crispa and H. elastica are not confirmed although both are commonly recorded in China. Citation: Mao N, Xu YY, Zhang YX, Zhou H, Huang XB, Hou CL, Fan L (2023). Phylogeny and species diversity of the genus Helvella with emphasis on eighteen new species from China. Fungal Systematics and Evolution 12: 111-152. doi: 10.3114/fuse.2023.12.08.
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Affiliation(s)
- N Mao
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
| | - Y Y Xu
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
| | - Y X Zhang
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
| | - H Zhou
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
| | - X B Huang
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
| | - C L Hou
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
| | - L Fan
- College of Life Science, Capital Normal University, Xisanhuanbeilu 105, Haidian, Beijing 100048, China
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15
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Guo JS, Zhang YX, Li L, Zhang DY, Qian MJ. [A case report of glycogen storage disease type 1a]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:999-1001. [PMID: 37872097 DOI: 10.3760/cma.j.cn501113-20230830-00078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Affiliation(s)
- J S Guo
- Department of Gastroenterology and Hepatology, Zhong Shan Hospital, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - Y X Zhang
- Shanghai Medical College, Fu Dan University, Shanghai 200032, China
| | - L Li
- Department of Gastroenterology and Hepatology, Zhong Shan Hospital, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - D Y Zhang
- Department of Gastroenterology and Hepatology, Zhong Shan Hospital, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - M J Qian
- Precision Medicine Center, Zhong Shan Hospital, Fu Dan University, Shanghai 200032, China
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Cao L, Zou J, Qin B, Bei S, Ma W, Yan B, Jin X, Zhang Y. Response of exogenous melatonin on transcription and metabolism of soybean under drought stress. Physiol Plant 2023; 175:e14038. [PMID: 37882298 DOI: 10.1111/ppl.14038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/30/2023] [Accepted: 09/22/2023] [Indexed: 10/27/2023]
Abstract
Amino acid metabolism is an important factor in regulating nitrogen source assimilation and source/sink transport in soybean. Melatonin can improve plant stress resistance, but whether it affects amino acid metabolism is not known. Therefore, this study investigated whether exogenous melatonin had an effect on amino acid metabolism of soybean under drought conditions and explored its relationship with yield. The treatments were normal water supply treatment (WW), drought stress treatment (D), drought stress and melatonin treatment group (D + M), sprayed with 100 μmol/L melatonin. The effects of melatonin on amino acid metabolism and grain filling were studied by physiological and omics experiments using Kangxian 9 (drought-sensitive variety) and Suinong 26 (drought-resistant variety) soybean cultivars. The results showed that drought stress decreased the activity of carbon and nitrogen metabolizing enzymes, which inhibited the accumulation of dry matter and protein, and decreased the yield. In the drought-sensitive soybean variety, glycoenzymes and amino acid synthetases synthetic genes were upregulated in melatonin-treated soybeans, hence carbon and nitrogen metabolism enzyme activity increased, increasing the carbohydrate and amino acid contents simultaneously. This resulted in higher dry matter and yield than drought-stressed soybean not treated with melatonin. In the drought-resistant variety, the grain weight per plant increased by 7.98% and 6.57% in 2020 and 2021, respectively, while it increased by 23.20% and 14.07% in the drought-sensitive variety during the respective years. In conclusion, melatonin treatment can enhance the activity of nitrogen and carbon metabolism and amino acid content by upregulating the expression of soybean metabolic pathway and related genes, thus increasing the yield of soybean under drought stress.
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Affiliation(s)
- Liang Cao
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Jingnan Zou
- College of Life Sciences, Fujian Agricultural and Forestry University, Fuzhou, China
| | - Bin Qin
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- College of Life Sciences, Fujian Agricultural and Forestry University, Fuzhou, China
| | - Shijun Bei
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Weiran Ma
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Bowei Yan
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China
| | - Xijun Jin
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Yuxian Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- National Coarse Cereals Engineering Technology Research Center, Daqing, China
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Jiang M, Xu Q, Yang C, Li D, Liu JW, Zhang Y, Zhu YC, Xiong ZQ. Activity-Dependent Phosphorylation of CDKL5 at Serine 407 Regulates Synaptogenesis and Plasticity. Neurosci Bull 2023; 39:1454-1458. [PMID: 37198422 PMCID: PMC10465469 DOI: 10.1007/s12264-023-01066-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/05/2023] [Indexed: 05/19/2023] Open
Affiliation(s)
- Mengying Jiang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiwu Xu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Can Yang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Dan Li
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Ji-Wei Liu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yuxian Zhang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yong-Chuan Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Zhi-Qi Xiong
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
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Wang L, Song DJ, Li Z, Zhang YX. [The harvestion and application experience of free multi-lobed anterior thigh flap]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:786-791. [PMID: 37599240 DOI: 10.3760/cma.j.cn115330-20221219-00761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objective: To introduce the technique and clinical application of free lobed anteromedial thigh perforator pedicle flap. Methods: From September 2015 to September 2021, 72 patients with perforating buccal and oral cancer defects were treated at the Oncology Plastic Surgery Department of Hunan Cancer Hospital. There were 61 males and 11 females, with an average age of 36.7 years (31-56 years). According to Union for International Cancer Control (UICC) TNM staging, there were 20 cases of T3N1M0, 13 cases of T3N2M0, 24 cases of T4N0M0, and 15 cases of T4N1M0. All defects were planned to be repaired with free lobed anteromedial perforator flaps. When there was only one set of vascular pedicle, the perforating vascular pedicle artery was anastomosed with the superior thyroid artery, and the accompanying vein was anastomosed with the superior thyroid vein by end-to-end. Results: The areas of soft tissue defects after radical resection of oral and buccal cancers in 72 patients were between 5.0 cm × 4.0 cm and 11.0 cm×7.0 cm; the areas of the first anterior femoral skin islands were between 5.0 cm × 4.0 cm and 13.0 cm×7.0 cm; the areas of the second anterior femoral skin islands were between 5.0 cm × 3.0 cm and 10.0 cm × 7.0 cm; and all flap donor sites were directly closed. In 35 cases, the vascular pedicle was accompanied by a lateral femoral muscle flap for filling the gap defect at the base of the mouth. The average length of the vascular pedicles of the flaps was 7.2 cm (range: 6.8-8.2 cm). The average diameter of the vascular pedicle arteries was 1.6 mm (range: 1.4-2.2 mm). The blood flow reconstruction of flap was completed by anastomosing one accompanying vein. The average diameter of the accompanying veins was 2.1 mm (range: 1.6-2.8 mm). Postoperative hematoma occurred in 3 patients, with one having vascular crisis. After emergency exploration, 2 of them were successfully saved, and the other one had complete necrosis of skin flap, which was repaired by pedicled pectoralis major skin flap transplantation. With following up of 12-38 months, the appearances of the flaps were satisfactory without significant swelling. The mouth opening and language function were satisfactory in all cases, and only linear scars were left in the donor sites, with no significant impact on thigh functions. Five patients with local recurrence of tumor were treated with second radical resection and repair with pedicled pectoralis major myocutaneous flap. Six patients developed cervical lymph node metastasis (4 on the same side and 2 on the opposite side) and underwent neck dissection again. Conclusion: The anatomical basis of the branches of the anteromedial femoral perforating branches in the anterolateral region of the thigh can be helpful to prepare the anterolateral femoral lobed flap, which is suitable for repairing the perforating defects after the radical operation of oral and buccal cancers.
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Affiliation(s)
- L Wang
- Department of Cancer Surgery, Qingyang People's Hospital, Qingyang 745000, Gansu Province, China
| | - D J Song
- Department of Oncology Plastic Surgery, Hunan Province Cancer Hospital, Changsha 410008, China
| | - Z Li
- Department of Oncology Plastic Surgery, Hunan Province Cancer Hospital, Changsha 410008, China
| | - Y X Zhang
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
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Qiang B, Zhou W, Zhong X, Fu C, Cao L, Zhang Y, Jin X. Effect of nitrogen application levels on photosynthetic nitrogen distribution and use efficiency in soybean seedling leaves. J Plant Physiol 2023; 287:154051. [PMID: 37481898 DOI: 10.1016/j.jplph.2023.154051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 06/10/2023] [Accepted: 07/08/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Nitrogen nutrition is strongly associated with crop growth and development. Nitrogen application level affects leaf size as well as nitrogen content and distribution, and thus affects photosynthetic nitrogen-use efficiency (PNUE) and yield. In this study, soybean varieties "Jinyuan 55" and "Keshan 1" were treated with nitrogen as urea at: N0, 0 kg hm-2; N0.5, 60 kg hm-2; N1, 120 kg hm-2; and N1.5, 180 kg hm-2. We compared the effect of nitrogen level on plant morphology, biomass, photosynthetic physiology, nitrogen distribution, PNUE, and other soybean seedling leaf characteristics. RESULTS Maximum carboxylation and electron transfer, net photosynthetic rates, and PNUE of both soybean varieties showed initial significant increases with increasing nitrogen application rate and subsequent stabilization. PNUE, carboxylation system components, electron transport components, and non-photosynthetic system distribution ratios in the photosynthetic system increased and subsequently decreased with increased nitrogen application rate. The nitrogen ratio between carboxylation and electron transport systems was positively correlated with PNUE in both soybean varieties. The nitrogen ratio in light-harvesting and non-photosynthetic systems showed a linear negative correlation with PNUE. CONCLUSIONS Overall, an appropriate nitrogen level maintained a high photosynthetic nitrogen ratio, whereas low- or high-nitrogen conditions increased or decreased the nitrogen ratio in non-photosynthetic and photosynthetic systems, respectively, thus decreasing the PNUE and photosynthetic capacity. Moreover, increased nitrogen application rate led to a decreased nitrogen ratio in the light-harvesting system and an increased nitrogen ratio of electron transport and carboxylation systems. Our results provide a theoretical basis for optimizing leaf nitrogen distribution, determining optimum nitrogen levels, and promoting soybean seedling growth.
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Affiliation(s)
- Binbin Qiang
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China
| | - Weixin Zhou
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China
| | - Xingjie Zhong
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China
| | - Chenye Fu
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China
| | - Liang Cao
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China; National Multigrain Engineering and Technology Center, Daqing, 163000, China
| | - Yuxian Zhang
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China; National Multigrain Engineering and Technology Center, Daqing, 163000, China.
| | - Xijun Jin
- School of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, 163000, China; National Multigrain Engineering and Technology Center, Daqing, 163000, China.
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20
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Liu Y, Chen Q, Liu F, Zhang YX, Shen LH, Wei HY. [Microcephaly-short stature-impaired glucose metabolism syndrome in a pedigree]. Zhonghua Er Ke Za Zhi 2023; 61:651-653. [PMID: 37385811 DOI: 10.3760/cma.j.cn112140-20221231-01080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Affiliation(s)
- Y Liu
- Department of Endocrinology and Inherited Metabolic disease, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou 450000, China
| | - Q Chen
- Department of Endocrinology and Inherited Metabolic disease, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou 450000, China
| | - F Liu
- Department of Endocrinology and Inherited Metabolic disease, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou 450000, China
| | - Y X Zhang
- Department of Endocrinology and Inherited Metabolic disease, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou 450000, China
| | - L H Shen
- Department of Endocrinology and Inherited Metabolic disease, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou 450000, China
| | - H Y Wei
- Department of Endocrinology and Inherited Metabolic disease, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou 450000, China
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21
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Zhao Q, Shen W, Gu Y, Hu J, Ma Y, Zhang X, Du Y, Zhang Y, Du J. Exogenous melatonin mitigates saline-alkali stress by decreasing DNA oxidative damage and enhancing photosynthetic carbon metabolism in soybean (Glycine max [L.] Merr.) leaves. Physiol Plant 2023; 175:e13983. [PMID: 37616002 DOI: 10.1111/ppl.13983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/25/2023] [Accepted: 07/17/2023] [Indexed: 08/25/2023]
Abstract
Saline-alkali stress (SS) is a common abiotic stress affecting crop cultivation worldwide, seriously inhibiting plant growth and biomass accumulation. Melatonin has been proven to relieve the inhibition of multiple abiotic stresses on plant growth. Therefore, soybean cultivars Heihe 49 (HH49, SS-tolerant) and Henong 95 (HN95, SS-sensitive) were pot-cultured in SS soil and then treated with 300 μM melatonin at the V1 stage, when the first trifoliate leaves were fully unfolded, to investigate if melatonin has an effect on SS. SS increased reactive oxygen species (ROS) accumulation in soybean leaves and thereby induced DNA oxidative damage. In addition, SS retarded cell growth and decreased the mesophyll cell size, chloroplast number, photosynthetic pigment content, which further reduced the light energy capture and electron transport rate in soybean leaves, and affected carbohydrate accumulation and metabolism. However, melatonin treatment reduced SS-induced ROS accumulation in the soybean leaves by increasing antioxidant content and oxidase activity. Effective removal of ROS reduced SS-induced DNA oxidative damage in the soybean leaf genome, which was represented by decreased random-amplified polymorphic DNA polymorphism, 8-hydroxy-20-deoxyguanine content, and relative density of apurinic/apyrimidinic-sites. Melatonin treatment also increased the volume of mesophyll cells, the numbers of chloroplast and starch grains, the contents of chlorophyll a and b and carotenoids in soybean seedling leaves treated with SS, thereby increasing the efficiency of effective light capture and electron transfer and improving photosynthesis. Subsequently, carbohydrate accumulation and metabolism in soybean leaves under SS were improved by melatonin treatment, which contributes to providing basic substances and energy for cell growth and metabolism, ultimately improving soybean SS tolerance.
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Affiliation(s)
- Qiang Zhao
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
- Research Center of Saline and Alkali Land Improvement Engineering Technology in Heilongjiang Province, Daqing, PR China
| | - Wanzheng Shen
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
| | - Yanhua Gu
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
| | - Jiachen Hu
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
| | - Yue Ma
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
| | - Xinlin Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
| | - Yanli Du
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
| | - Yuxian Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
- National Coarse Cereals Engineering Research Center, Daqing, PR China
| | - Jidao Du
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, PR China
- Research Center of Saline and Alkali Land Improvement Engineering Technology in Heilongjiang Province, Daqing, PR China
- National Coarse Cereals Engineering Research Center, Daqing, PR China
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22
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Zhang YX, Li J. [Opinion on the photoelectric therapy of scars]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:501-506. [PMID: 37805763 DOI: 10.3760/cma.j.cn501225-20220821-00353] [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: 10/09/2023]
Abstract
Scars are problems that inevitably develop after deep dermal injury in the skin. Selecting appropriate photoelectric therapy for scars at different stages is an important part of scar management, which can shorten the acute inflammatory phase, accelerate scar maturation and regression, improve scar appearance and function, and reduce associated discomfort. Based on our team's practical experience and the current literature, this paper provides targeted photoelectric management protocols in the stages of wound healing, early scarring, hypertrophic scarring, and contracture scarring, with the aim of providing a reference for the development of standardized photoelectric therapy protocols for scars.
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Affiliation(s)
- Y X Zhang
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - J Li
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
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23
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Jiang L, Wang P, Jia H, Wu T, Yuan S, Jiang B, Sun S, Zhang Y, Wang L, Han T. Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean. Int J Mol Sci 2023; 24:ijms24119436. [PMID: 37298387 DOI: 10.3390/ijms24119436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Flowering time and photoperiod sensitivity are fundamental traits that determine soybean adaptation to a given region or a wide range of geographic environments. The General Regulatory Factors (GRFs), also known as 14-3-3 family, are involved in protein-protein interactions in a phosphorylation-dependent manner, thus regulating ubiquitous biological processes, such as photoperiodic flowering, plant immunity and stress response. In this study, 20 soybean GmSGF14 genes were identified and divided into two categories according to phylogenetic relationships and structural characteristics. Real-time quantitative PCR analysis revealed that GmSGF14g, GmSGF14i, GmSGF14j, GmSGF14k, GmSGF14m and GmSGF14s were highly expressed in all tissues compared to other GmSGF14 genes. In addition, we found that the transcript levels of GmSGF14 family genes in leaves varied significantly under different photoperiodic conditions, indicating that their expression responds to photoperiod. To explore the role of GmSGF14 in the regulation of soybean flowering, the geographical distribution of major haplotypes and their association with flowering time in six environments among 207 soybean germplasms were studied. Haplotype analysis confirmed that the GmSGF14mH4 harboring a frameshift mutation in the 14-3-3 domain was associated with later flowering. Geographical distribution analysis demonstrated that the haplotypes related to early flowering were frequently found in high-latitude regions, while the haplotypes associated with late flowering were mostly distributed in low-latitude regions of China. Taken together, our results reveal that the GmSGF14 family genes play essential roles in photoperiodic flowering and geographical adaptation of soybean, providing theoretical support for further exploring the function of specific genes in this family and varietal improvement for wide adaptability.
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Affiliation(s)
- Liwei Jiang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing 163316, China
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Peiguo Wang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
- Department of Crop Genetics and Breeding, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
| | - Hongchang Jia
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
- Department of Crop Genetics and Breeding, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
- Heihe Branch, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China
| | - Tingting Wu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Shan Yuan
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Bingjun Jiang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Shi Sun
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Yuxian Zhang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing 163316, China
| | - Liwei Wang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Tianfu Han
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing 163316, China
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
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24
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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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Zhang YX, Lan MJ, Liang SY, Han CM. [Advances on the application of physical airway clearance techniques in the treatment of inhalation injury]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:475-480. [PMID: 37805758 DOI: 10.3760/cma.j.cn501225-20220608-00226] [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: 10/09/2023]
Abstract
Although the treatment of patients with burns combined with inhalation injury has achieved great success, from the perspective of epidemiology, inhalation injury is still the most common cause of death in mass burns. Such patients often suffered burns of large total body surface area, which is difficult to treat, with airway management as one of the core links. Physical airway clearance technique (ACT) acts on a patient's respiratory system by physical means, to discharge secretions and foreign bodies in the airway, achieve airway clearance, and improve gas exchange. In addition, the technique can prevent or alleviate many complications, thereby improving the clinical outcome of patients with inhalation injury. This article reviews the application of physical ACT in the field of inhalation injury, and to provide decision-making basis for clinical medical staff to choose physical ACT corresponding to the patient's condition.
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Affiliation(s)
- Y X Zhang
- Department of Burns and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - M J Lan
- Department of Nursing, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - S Y Liang
- Department of Nursing, the First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - C M Han
- Department of Burns and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
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26
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Wang C, Zhou X, Liu GY, Qu CY, Yuan CY, Zhang YX. [Analysis of different protein expression levels in peripheral blood circulating tumor cells from patients with diffuse large B-cell lymphoma and their predictive efficiency for recurrence]. Zhonghua Yi Xue Za Zhi 2023; 103:1328-1333. [PMID: 37150683 DOI: 10.3760/cma.j.cn112137-20220817-01753] [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: 05/09/2023]
Abstract
Objective: To analyze the expression levels of differentiation cluster 47 (CD47), signal regulatory protein α (SIRP-α), proto-oncogene (MYC) and proliferating cell associated antigen (Ki67) proteins in peripheral blood circulating tumor cells (CTC) from patients with diffuse large B-cell lymphoma and their predictive efficiency for tumor recurrence. Methods: The data of 82 patients with diffuse large B-cell lymphoma who were confirmed by histopathology and were in remission after chemotherapy in the Hematology Department of Linyi People's Hospital from January 2018 to January 2021 were retrospectively analyzed. There were 44 males and 38 females, and aged from 50 to 75 (63.8±4.6) years. The patients were divided into recurrent group (n=36) and non-recurrent group (n=46) according to their recurrence within 1 year after remission. The fasting peripheral venous blood samples (4 ml) from patients in the morning were collected, and the CTC were isolated. The expression levels of CD47, SIRP-α, MYC and Ki67 proteins in CTC were detected by Western blotting. The correlations between CD47 expression level and SIRP-α, MYC and Ki67 expression levels were analyzed by Pearson correlation analysis. The predictive efficiency of CD47, SIRP-α, MYC and Ki67 expression levels on tumor recurrence was evaluated by receiver operating characteristic (ROC) curves, and the areas under the curve (AUC) were calculated. Results: The expression levels of CD47, SIRP-α, MYC and Ki67 in recurrent group were 2.24±0.23, 1.17±0.12, 1.98±0.20 and 2.63±0.27, while those in non-recurrent group were 2.04±0.21, 1.31±0.13, 1.53±0.16 and 2.24±0.25. The expression levels of CD47, MYC and Ki67 in the recurrent group were higher than those in the non-recurrent group, while the expression levels of SIRP-α were lower than those in the non-recurrent group (all P<0.001). In 82 patients, the expression levels of CD47, SIRP-α, MYC and Ki67 were 2.13±0.22, 1.25±0.13, 1.73±0.18 and 2.41±0.26, respectively. The expression level of CD47 was negatively correlated with the expression level of SIRP-α (r=-0.308, P=0.005), but positively correlated with the expression level of MYC and Ki67 (r=0.484 and 0.332, P=0.012 and 0.003). The sensitivity of CD47, SIRP-α, MYC and Ki67 expression levels in predicting recurrence of diffuse large B-cell lymphoma was 66.7%, 72.2%, 72.2% and 66.7%, with the specificity of 67.4%, 71.7%, 67.4% and 71.7%, and AUC (95%CI) of 0.694 (0.582-0.791), 0.693 (0582-0.790), 0.714 (0.603-0.808) and 0.709 (0.598-0.804), respectively. The sensitivity of the combined detection of the above four indicators was 83.3%, with the specificity of 78.3% and the AUC (95%CI) of 0.864 (0.771-0.930), which was higher than those of the individual detection of each indicator (all P<0.05). Conclusions: The expression level of CD47 was negatively correlated with the expression level of SIRP-α, but positively correlated with the expression level of MYC and Ki67. The expression levels of CD47, SIRP-α, MYC and Ki67 have certain predictive value for tumor recurrence in patients with diffuse large B-cell lymphoma, and the predictive efficiency of combined detection is higher than single indicator detection.
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Affiliation(s)
- C Wang
- Department of Hematology, Linyi People's Hospital of Shandong Province, Linyi 276000, China
| | - X Zhou
- Department of Oncology, Linyi People's Hospital of Shandong Province, Linyi 276000, China
| | - G Y Liu
- Department of Orthopedics, Linyi People's Hospital of Shandong Province, Linyi 276000, China
| | - C Y Qu
- Department of Hematology and Oncology, Longkou People's Hospital of Shandong Province, Longkou 265711, China
| | - C Y Yuan
- Department of Hematology, Dezhou People's Hospital of Shandong Province, Dezhou 253000, China
| | - Y X Zhang
- Department of Hematology, Linyi People's Hospital of Shandong Province, Linyi 276000, China
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Xi JY, Zhang YX, Lin X, Hao YT. [Burden of non-communicable diseases attributable to population aging in China, 1990‒2050]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:667-673. [PMID: 37165814 DOI: 10.3760/cma.j.cn112150-20220531-00552] [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: 05/12/2023]
Abstract
Objective: The direction and intensity of population aging on the burden of non-communicable diseases (NCDs) in China from 1990 to 2019 were analyzed, and the burden of NCDs in 2050 was predicted. Methods: The disease-specific disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) in the Chinese population from 1990 to 2019 were obtained from the Global Burden of Disease Study.The differences in indicators from 1990 to 2019 were attributed to the contribution of age structure, population size, and all other causes. The Bayesian age-time-cohort models were used to predict DALYs from NCDs to 2050. Results: The absolute level of DALYs caused by NCDs increased by 7.460 million from 1990 to 2019, and the age structure contributed 186.0% (95% Uncertainty Intervals (UIs): 178.4%-193.6%), population size contributed 77.0% (95% UIs: 69.5%-80.8%), all other causes contributed -163.0% (95% UIs:-163.1%- -159.3%). DALYs caused by NCDs consist of 2.527 million YLLs and 4.934 million YLDs, in which the contribution of age structure to YLLs and YLDs was 414.6% (95% UIs: 396.2%-432.5%) and 69.1% (95% UIs: 66.7%-71.4%), respectively. From 2019 to 2050, the diseases with increased DALYs due to changes in age structure are cardiovascular diseases, neoplasms, chronic respiratory diseases, neurological disorders, sense organ diseases, diabetes and kidney diseases, musculoskeletal disorders, digestive diseases, mental disorders, and skin and subcutaneous diseases in descending order. Conclusions: From 1990 to 2019, except for skin and subcutaneous diseases, the burden of other NCDs attributable to population aging increased, mainly due to disability. By 2050, the burden of NCDsattributable to population aging will continue to rise.
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Affiliation(s)
- J Y Xi
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Y X Zhang
- Department of Science and Research, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - X Lin
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China Center for Health Information Research, Sun Yat-sen University, Guangzhou 510080, China
| | - Y T Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing 100191, China
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Wang H, Jiang HY, Zhang YX, Jin HY, Fei BY, Jiang JL. Mesenchymal stem cells transplantation for perianal fistulas: a systematic review and meta-analysis of clinical trials. Stem Cell Res Ther 2023; 14:103. [PMID: 37101285 PMCID: PMC10134595 DOI: 10.1186/s13287-023-03331-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 04/06/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Perianal fistulas, characterised as granulomatous inflammation of fistulas around the anal canal, are associated with significant morbidity resulting in a negative impact on quality of life and a tremendous burden to the healthcare system. Treatment of anal fistulas usually consists of anal surgery; however, results of closure rates are not satisfactory especially with complex perianal fistulas, after which many patients may suffer from anal incontinence. Recently, the administration of mesenchymal stem cells (MSCs) has shown promising efficacy. Herein, we aim to explore whether MSCs are effective for complex perianal fistulas and if they have either short-term, medium-term, long-term or over-long-term efficacy. Additionally, we want to elucidate whether factors such as drug dosage, MSC source, cell type, and disease aetiology influence treatment efficacy. We searched four online databases and analysed data based on information within the clinical trials registry. The outcomes of eligible trials were analysed with Review Manager 5.4.1. Relative risk and related 95% confidence interval were calculated to compare the effect between the MSCs and control groups. In addition, the Cochrane risk of bias tool was applied to evaluate the bias risk of eligible studies. Meta-analyses showed that therapy with MSCs was superior to conventional treatment for complex perianal fistulas in short-, long- and over-long-term follow-up phases. However, there was no statistical difference in treatment efficacy in the medium term between the two methods. Subgroup meta-analyses showed factors including cell type, cell source and cell dosage were superior compared to the control, but there was no significant difference between different experimental groups of those factors. Besides, local MSCs therapy has shown more promising results for fistulas as a result of Crohn's Disease (CD). Although we tend to maintain that MSCs therapy is effective for cryptoglandular fistulas equally, more studies are needed to confirm this conclusion in the future. SHORT CONCLUSION MSCs Transplantation could be a new therapeutic method for complex perianal fistulas of both cryptoglandular and CD origin showing high efficacy in the short-term to over-long-term phases, as well as high efficacy in sustained healing. The difference in cell types, cell sources and cell dosages did not influence MSCs' efficacy.
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Affiliation(s)
- H Wang
- Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China
| | - H Y Jiang
- Life Spring AKY Pharmaceuticals, Changchun, China
| | - Y X Zhang
- Changchun University of Chinese Medicine, Changchun, China
| | - H Y Jin
- Department of Gastrointestinal Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - B Y Fei
- Department of Gastrointestinal Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China.
| | - J L Jiang
- Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China.
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Shi Y, Zhao SH, Zhang YX, Yang H. [Clinical analysis of 11 cases of pregnancy with aortic dissection]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:277-285. [PMID: 37072296 DOI: 10.3760/cma.j.cn112141-20221130-00724] [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] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
Objective: To investigate the treatment and maternal and fetal outcomes of pregnant women with aortic dissection (AD). Methods: The clinical data of 11 pregnant women with AD treated at the First Affiliated Hospital of Air Force Military Medical University from January 1st, 2011 to August 1st, 2022 were collected, and their clinical characteristics, treatment plans and maternal and fetal outcomes were analyzed retrospectively. Results: (1) Clinical characteristics: the age of onset of 11 pregnant women with AD was (30±5) years old, and the week of pregnancy of onset was (31.4±8.0) weeks. Clinical manifestations: the main symptoms were sudden onset of chest and back pain or low back pain. Type of AD: 8 cases of Stanford type A, and 3 cases of type B. The aortic width was (42±11) mm. Diagnostic methods: the diagnosis of AD was confirmed by transthoracic echocardiography (TTE), computed tomography angiography (CTA) or enhanced CT examination, among which 4 cases were confirmed by CTA examination, 4 cases by TTE examination, and 3 cases by enhanced CT examination. Laboratory results: white blood cell count was (15.4±8.7) ×109/L, neutrophil count was (13.5±8.5) ×109/L, the median D-dimer level was 2.7 mg/L (2.1-9.2 mg/L), and the median fibrin degradation products level was 12.0 mg/L (5.4-36.1 mg/L). (2) Treatments: all 11 patients were admitted to hospital in emergency. Before operation, the departments of cardiac surgery, obstetrics, pediatrics and anesthesiology cooperated to develop individualized treatment plan. Aortic surgery was performed in 11 pregnant women with AD. In 6 of them, pregnancy termination was performed at the same time as aortic surgery, and aortic surgery was performed after cesarean section. Four cases of pregnancy termination and aortic operation were performed by stages, including aortic operation after cesarean section in 2 cases, and cesarean section after aortic operation in 2 cases. One case (12+6 weeks of gestation) had spontaneous abortion on the day after aortic surgery. The gestational age of the 11 patients on pregnancy termination was (32.9±7.4) weeks. Aorta surgical methods: 7 patients received under extracorporeal circulation ascending aorta replacement ± aortic valve replacement ± coronary artery transplantation (or coronary artery bypass transplantation)± left and right coronary Cabrol + total arch replacement (or aortic arch replacement)± stent implantation, 1 patient received under extracorporeal circulation aortic root replacement, and 3 patients underwent aortic endoluminal isolation. (3) Maternal and fetal outcomes: among the 11 pregnant women with AD, 9 (9/11) survived, 2 (2/11) died with lower limb ischemia before the onset of the disease. A total of 10 newborns were born in 9 pregnant women after delivery (1 of them was twins), and the 2 cases were spontaneous abortion after aortic surgery in the first trimester (12+6 weeks) and fetal death after hysterotomy in the second trimester (26+3 weeks), respectively. Among the 10 surviving neonates, 3 were full-term infants and 7 were premature infants. The birth weight of newborn was (2 651±784) g. Respiratory distress syndrome was found in 6 cases. The newborns were followed up for (5.6±3.6) years after birth, and the infants developed well during the follow-up period. Conclusions: Pregnancy complicated with AD is dangerous, and chest and back pain is the main clinical manifestation of this disease. With early identification and selection of appropriate diagnostic methods, multidisciplinary diagnosis and treatment, mother and children could obtain good outcomes.
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Affiliation(s)
- Y Shi
- Department of Obstetrics and Gynecology, First Hospital Affiliated of Air Force Military Medical University, Xi'an 710032, China
| | - S H Zhao
- Department of Obstetrics and Gynecology, First Hospital Affiliated of Air Force Military Medical University, Xi'an 710032, China
| | - Y X Zhang
- Department of Obstetrics and Gynecology, First Hospital Affiliated of Air Force Military Medical University, Xi'an 710032, China
| | - H Yang
- Department of Obstetrics and Gynecology, First Hospital Affiliated of Air Force Military Medical University, Xi'an 710032, China
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30
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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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Zhang YX, Xue PQ, Li S, Liu XM, Zou H. [Effects of long working hours exposure on occupational stress and depression symptoms in couriers in Zhejiang Province]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:255-261. [PMID: 37248178 DOI: 10.3760/cma.j.cn121094-20220309-00119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Objective: To understand the current situation of long working hours exposure of couriers in Zhejiang Province, and to analyze the influence of long working hours exposure levels on their occupational stress and depression symptoms, and provide a basis for promoting the physical and mental health of couriers. Methods: From September to December 2021 , 1159 couriers from Zhejiang Express Transport Companies were selected as respondents by cluster sampling, and their basic information were collected. The occupational stress and depression symptoms of the couriers were assessed using the Core Occupational Stress Scale (COSS) and the Patient Health Questionnaire-9 (PHQ-9). The effects of long work hours (>48 h per week) on the occupational stress and depression symptoms of the couriers were analyzed. Results: The average age of 1159 courier in Zhejiang Province was (33.24±8.42) years, the average weekly working hours were (63.21±18.77) h, and 75.15% (871/1159) were long-term workers. The detection rates of occupational stress and depression symptoms in courier were 32.44% (376/1159) and 32.53% (377/1159), respectively. There were significant differences in the detection rates of occupational stress and depression symptoms among couriers with different ages, educational background, marital status, monthly average income, length of service, position or post, shift status, drinking status, and average weekly working hours (P <0.05). The adjusted logistic regression analysis showed that, after adjusting for the influence of confounding factors such as age, educational background, marital status, monthly average income, length of service, position or post, shift status and drinking status, compared with the weekly working hours ≤48 h, weekly working hours of 63-77 h, 78-92 h, ≥93 h were the risk factors for occupational stress (OR=1.547, 95%CI: 1.019-2.350; OR=1.886, 95%CI: 1.184-3.006; OR=2.338, 95%CI: 1.188-4.062) and depression symptoms (OR=1.897, 95%CI: 1.258-2.860; OR=2.041, 95%CI: 1.290-3.230; OR=4.978, 95%CI: 2.551-9.715) of couriers (P<0.05) . Conclusion: Long working hours could increase the risk of occupational stress and depression symptoms among couriers. It is necessary to arrange working hours reasonably to reduce the occurrence of occupational stress and depression symptoms of couriers.
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Affiliation(s)
- Y X Zhang
- Department of Public Health Hangzhou Normal University, Hangzhou 311121, China
| | - P Q Xue
- Occupational Health and Radiation Protection Institute, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310057, China
| | - S Li
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X M Liu
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - H Zou
- Occupational Health and Radiation Protection Institute, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310057, China
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32
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Liu CH, Zhang S, Zhang YX, Dong HB, Wang SY, Ma YM. [Attach great importance to the significance of serum anti-müllerian hormone and androgen in the evaluation of polycystic ovary syndrome]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:577-583. [PMID: 37032168 DOI: 10.3760/cma.j.cn112150-20220928-00935] [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] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
Polycystic ovary syndrome (PCOS) is a common endocrine disease in women of childbearing age, which seriously affects women's reproductive health. In recent years, more and more studies have found that serum anti-Müllerian hormone (AMH) has certain significance in the diagnosis and treatment evaluation of PCOS. In addition, with the improvement of detection methods, more attention has been paid to the significance of female androgens and AMH in the evaluation of PCOS. This article reviews the recent research progress of serum AMH and androgens in the evaluation of PCOS.
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Affiliation(s)
- C H Liu
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Department of Human Reproductive Medicine, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - S Zhang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Department of Human Reproductive Medicine, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Y X Zhang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Department of Human Reproductive Medicine, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - H B Dong
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Department of Human Reproductive Medicine, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - S Y Wang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Department of Human Reproductive Medicine, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Y M Ma
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Department of Human Reproductive Medicine, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
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Zhu C, Lu Y, Cheng M, Zhou Z, Zhang Y, Lei X, Wang X, Hou Y, Lu M. Sleep profile and the risk of cardiovascular events in patients undergoing percutaneous coronary intervention. PSYCHOL HEALTH MED 2023; 28:799-811. [PMID: 34565236 DOI: 10.1080/13548506.2021.1985148] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A significant proportion of patients with coronary artery disease (CAD) who undergo percutaneous coronary intervention (PCI) suffer from physical and mental disorders which lead to the decline of sleep profile. Sleep disorders are highly prevalent in these patients. But the effect of sleep on the outcomes of post-PCI patients remains unclear. We aim to examine the individual and joint effects of sleep quality and sleep duration on the risk of adverse cardiovascular events in post-PCI patients. We included 314 participants who were diagnosed with a first CAD and underwent PCI with drug-eluting stents and followed up for a mean duration of 341 days to assess major adverse cardiovascular events (MACEs). Sleep quality, based on the Pittsburgh Sleep Quality Index, was categorized as good (a score of ≤7) or poor (>7). Sleep duration was categorized into three classes: ≤ 5, 6-8 (reference group) and ≥ 9 hours per day. The log-rank test and the Cox regression model were used for data analysis. MACEs occurred in 26 (8.3%) patients. Subjects whose sleep duration was ≤ 5 hours per day had a shorter time to MACEs than those whose sleep duration was 6-8 hours (p = 0.036). A significantly increased risk for MACEs was observed for participants with a ≤ 5 hours sleep duration (HR = 2.18, 95% CI = 1.02-4.64) after adjustment for demographic and clinical confounders. Associations between long sleep duration (≥ 9 hours), sleep quality, or their joint effect and MACEs were not found. This suggests the importance of considering sleep loss when developing strategies to improve health outcomes of PCI patients. And further researches are needed to examine the effects of different aspects of sleep quality on the prognosis of PCI patients and explore the reasons that lead to the decline of sleep profile.
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Affiliation(s)
- Chenya Zhu
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,School of Nursing, Soochow University Medical College, Suzhou, China
| | - Yang Lu
- School of Nursing, Soochow University Medical College, Suzhou, China
| | - Ming Cheng
- School of Nursing, Soochow University Medical College, Suzhou, China
| | - Zichun Zhou
- School of Nursing, Soochow University Medical College, Suzhou, China
| | - Yuxian Zhang
- School of Nursing, Soochow University Medical College, Suzhou, China
| | - Xiaoqing Lei
- School of Nursing, Soochow University Medical College, Suzhou, China
| | - Xiaohua Wang
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,School of Nursing, Soochow University Medical College, Suzhou, China
| | - Yunying Hou
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,School of Nursing, Soochow University Medical College, Suzhou, China
| | - Minxia Lu
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China
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Zhang X, Zhong J, Cao L, Ren C, Yu G, Gu Y, Ruan J, Zhao S, Wang L, Ru H, Cheng L, Wang Q, Zhang Y. Genome-wide characterization of aldehyde dehydrogenase gene family members in groundnut ( Arachis hypogaea) and the analysis under saline-alkali stress. Front Plant Sci 2023; 14:1097001. [PMID: 36875623 PMCID: PMC9978533 DOI: 10.3389/fpls.2023.1097001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Groundnut or peanut (Arachis hypogaea) is a legume crop. Its seeds are rich in protein and oil. Aldehyde dehydrogenase (ALDH, EC: 1.2.1.3) is an important enzyme involved in detoxification of aldehyde and cellular reactive oxygen species, as well as in attenuation of lipid peroxidation-meditated cellular toxicity under stress conditions. However, few studies have been identified and analyzed about ALDH members in Arachis hypogaea. In the present study, 71 members of the ALDH superfamily (AhALDH) were identified using the reference genome obtained from the Phytozome database. A systematic analysis of the evolutionary relationship, motif, gene structure, cis-acting elements, collinearity, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and expression patterns was conducted to understand the structure and function of AhALDHs. AhALDHs exhibited tissue-specific expression, and quantitative real-time PCR identified significant differences in the expression levels of AhALDH members under saline-alkali stress. The results revealed that some AhALDHs members could be involved in response to abiotic stress. Our findings on AhALDHs provide insights for further study.
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Affiliation(s)
- Xiaoming Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- Agricultural College, Northeast Agricultural University, Harbin, China
- National Coarse Cereals Engineering Research Center, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jingwen Zhong
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Liang Cao
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- National Coarse Cereals Engineering Research Center, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Chunyuan Ren
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- National Coarse Cereals Engineering Research Center, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Gaobo Yu
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- National Coarse Cereals Engineering Research Center, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Yanhua Gu
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Jingwen Ruan
- Agricultural College, Northeast Agricultural University, Harbin, China
| | - Siqi Zhao
- Agricultural College, Northeast Agricultural University, Harbin, China
| | - Lei Wang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Haishun Ru
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Lili Cheng
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China
| | - Qi Wang
- Institute of Crop Cultivation and Tillage, Heilongjiang Academy of Agricultural Sciences, Harbin, China
| | - Yuxian Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Soybean Mechanized Production, Ministry of Agriculture and Rural Affairs, Daqing, China
- National Coarse Cereals Engineering Research Center, Heilongjiang Bayi Agricultural University, Daqing, China
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Ren C, Wang H, Zhou Z, Jia J, Zhang Q, Liang C, Li W, Zhang Y, Yu G. Genome-wide identification of the B3 gene family in soybean and the response to melatonin under cold stress. Front Plant Sci 2023; 13:1091907. [PMID: 36714689 PMCID: PMC9880549 DOI: 10.3389/fpls.2022.1091907] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 12/20/2022] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Melatonin is a multipotent molecule that exists widely in animals and plants and plays an active regulatory role in abiotic stresses. The B3 superfamily is a ubiquitous transcription factor with a B3 functional domain in plants, which can respond temporally to abiotic stresses by activating defense compounds and plant hormones. Despite the fact that the B3 genes have been studied in a variety of plants, their role in soybean is still unknown. METHODS The regulation of melatonin on cold resistance of soybean and the response of B3 genes to cold stress were investigated by measuring biochemical indexes of soybean. Meanwhile, the genome-wide identification of B3 gene family was conducted in soybean, and B3 genes were analyzed based on phylogeny, motifs, gene structure, collinearity, and cis-regulatory elements analysis. RESULTS We found that cold stress-induced oxidative stress in soybean by producing excessive reactive oxygen species. However, exogenous melatonin treatment could increase the content of endogenous melatonin and other hormones, including IAA and ABA, and enhance the antioxidative system, such as POD activity, CAT activity, and GSH/GSSG, to scavenge ROS. Furthermore, the present study first revealed that melatonin could alleviate the response of soybean to cold stress by inducing the expression of B3 genes. In addition, we first identified 145 B3 genes in soybean that were unevenly distributed on 20 chromosomes. The B3 gene family was divided into 4 subgroups based on the phylogeny tree constructed with protein sequence and a variety of plant hormones and stress response cis-elements were discovered in the promoter region of the B3 genes, indicating that the B3 genes were involved in several aspects of the soybean stress response. Transcriptome analysis and results of qRT-PCR revealed that most GmB3 genes could be induced by cold, the expression of which was also regulated by melatonin. We also found that B3 genes responded to cold stress in plants by interacting with other transcription factors. DISCUSSION We found that melatonin regulates the response of soybean to cold stress by regulating the expression of the transcription factor B3 gene, and we identified 145 B3 genes in soybean. These findings further elucidate the potential role of the B3 gene family in soybean to resist low-temperature stress and provide valuable information for soybean functional genomics study.
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Affiliation(s)
- Chunyuan Ren
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Huamei Wang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Zhiheng Zhou
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Jingrui Jia
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Qi Zhang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Changzhi Liang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Wanting Li
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Yuxian Zhang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Gaobo Yu
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
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Chen W, Zhang L, Cai G, Zhang B, Lian Z, Li J, Wang W, Zhang Y, Mo X. Machine learning-based multimodal MRI texture analysis for assessing renal function and fibrosis in diabetic nephropathy: a retrospective study. Front Endocrinol (Lausanne) 2023; 14:1050078. [PMID: 37139339 PMCID: PMC10150993 DOI: 10.3389/fendo.2023.1050078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 02/28/2023] [Indexed: 05/05/2023] Open
Abstract
Introduction Diabetic nephropathy (DN) has become a major public health burden in China. A more stable method is needed to reflect the different stages of renal function impairment. We aimed to determine the possible practicability of machine learning (ML)-based multimodal MRI texture analysis (mMRI-TA) for assessing renal function in DN. Methods For this retrospective study, 70 patients (between 1 January 2013 and 1 January 2020) were included and randomly assigned to the training cohort (n1 = 49) and the testing cohort (n2 = 21). According to the estimated glomerular filtration rate (eGFR), patients were assigned into the normal renal function (normal-RF) group, the non-severe renal function impairment (non-sRI) group, and the severe renal function impairment (sRI) group. Based on the largest coronal image of T2WI, the speeded up robust features (SURF) algorithm was used for texture feature extraction. Analysis of variance (ANOVA) and relief and recursive feature elimination (RFE) were applied to select the important features and then support vector machine (SVM), logistic regression (LR), and random forest (RF) algorithms were used for the model construction. The values of area under the curve (AUC) on receiver operating characteristic (ROC) curve analysis were used to assess their performance. The robust T2WI model was selected to construct a multimodal MRI model by combining the measured BOLD (blood oxygenation level-dependent) and diffusion-weighted imaging (DWI) values. Results The mMRI-TA model achieved robust and excellent performance in classifying the sRI group, non-sRI group, and normal-RF group, with an AUC of 0.978 (95% confidence interval [CI]: 0.963, 0.993), 0.852 (95% CI: 0.798, 0.902), and 0.972 (95% CI: 0.995, 1.000), respectively, in the training cohort and 0.961 (95% CI: 0.853, 1.000), 0.809 (95% CI: 0.600, 0.980), and 0.850 (95% CI: 0.638, 0.988), respectively, in the testing cohort. Discussion The model built from multimodal MRI on DN outperformed other models in assessing renal function and fibrosis. Compared to the single T2WI sequence, mMRI-TA can improve the performance in assessing renal function.
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Affiliation(s)
- Wenbo Chen
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Department of Radiology, Huizhou Central People’s Hospital, Huizhou, Guangdong, China
| | - Lu Zhang
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Guanhui Cai
- Department of Radiology, Huizhou Central People’s Hospital, Huizhou, Guangdong, China
| | - Bin Zhang
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Zhouyang Lian
- Department of Radiology, Guandong Academy of Medical Sciences/Guangdong Provincial People’s Hospital, Guangzhou, Guangdong, China
| | - Jing Li
- Division of Nephrology, Guangdong Academy of Medical Sciences/Guangdong Provincial People’s Hospital, Guangzhou, Guangdong, China
| | - Wenjian Wang
- Division of Nephrology, Guangdong Academy of Medical Sciences/Guangdong Provincial People’s Hospital, Guangzhou, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- *Correspondence: Xiaokai Mo, ; Yuxian Zhang, ; Wenjian Wang,
| | - Yuxian Zhang
- Department of Nuclear Medicine, ZhuJiang Hospital of Southern Medical University, Guangzhou, Guangdong, China
- *Correspondence: Xiaokai Mo, ; Yuxian Zhang, ; Wenjian Wang,
| | - Xiaokai Mo
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- *Correspondence: Xiaokai Mo, ; Yuxian Zhang, ; Wenjian Wang,
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Du Y, Zhang Z, Gu Y, Li W, Wang W, Yuan X, Zhang Y, Yuan M, Du J, Zhao Q. Genome-wide identification of the soybean cytokinin oxidase/dehydrogenase gene family and its diverse roles in response to multiple abiotic stress. Front Plant Sci 2023; 14:1163219. [PMID: 37139113 PMCID: PMC10149856 DOI: 10.3389/fpls.2023.1163219] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/30/2023] [Indexed: 05/05/2023]
Abstract
Cytokinin oxidase/dehydrogenase (CKX) irreversibly degrades cytokinin, regulates growth and development, and helps plants to respond to environmental stress. Although the CKX gene has been well characterized in various plants, its role in soybean remains elusive. Therefore, in this study, the evolutionary relationship, chromosomal location, gene structure, motifs, cis-regulatory elements, collinearity, and gene expression patterns of GmCKXs were analyzed using RNA-seq, quantitative real-time PCR (qRT-PCR), and bioinformatics. We identified 18 GmCKX genes from the soybean genome and grouped them into five clades, each comprising members with similar gene structures and motifs. Cis-acting elements involved in hormones, resistance, and physiological metabolism were detected in the promoter regions of GmCKXs. Synteny analysis indicated that segmental duplication events contributed to the expansion of the soybean CKX family. The expression profiling of the GmCKXs genes using qRT-PCR showed tissue-specific expression patterns. The RNA-seq analysis also indicated that GmCKXs play an important role in response to salt and drought stresses at the seedling stage. The responses of the genes to salt, drought, synthetic cytokinin 6-benzyl aminopurine (6-BA), and the auxin indole-3-acetic acid (IAA) at the germination stage were further evaluated by qRT-PCR. Specifically, the GmCKX14 gene was downregulated in the roots and the radicles at the germination stage. The hormones 6-BA and IAA repressed the expression levels of GmCKX1, GmCKX6, and GmCKX9 genes but upregulated the expression levels of GmCKX10 and GmCKX18 genes. The three abiotic stresses also decreased the zeatin content in soybean radicle but enhanced the activity of the CKX enzymes. Conversely, the 6-BA and IAA treatments enhanced the CKX enzymes' activity but reduced the zeatin content in the radicles. This study, therefore, provides a reference for the functional analysis of GmCKXs in soybean in response to abiotic stresses.
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Affiliation(s)
- Yanli Du
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
- National Cereals Technology Engineering Research Center, Daqing, Heilongjiang, China
| | - Zhaoning Zhang
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Yanhua Gu
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Weijia Li
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Weiyu Wang
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Xiankai Yuan
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Yuxian Zhang
- National Cereals Technology Engineering Research Center, Daqing, Heilongjiang, China
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, Heilongjiang, China
| | - Ming Yuan
- Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar, Heilongjiang, China
| | - Jidao Du
- Agricultural College, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
- National Cereals Technology Engineering Research Center, Daqing, Heilongjiang, China
- Research Center of Saline and Alkali Land Improvement Engineering Technology in Heilongjiang Province, Daqing, Heilongjiang, China
- *Correspondence: Jidao Du, ; Qiang Zhao,
| | - Qiang Zhao
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, Heilongjiang, China
- Research Center of Saline and Alkali Land Improvement Engineering Technology in Heilongjiang Province, Daqing, Heilongjiang, China
- *Correspondence: Jidao Du, ; Qiang Zhao,
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Lan X, Wang Z, Zeng Z, Yao H, Xu W, Zhang Y. Association of Different Combinations of ALDH2 rs671, APOE rs429358, rs7412 Polymorphisms with Hypertension in Middle-Aged and Elderly People: A Case-Control Study. Int J Gen Med 2023; 16:915-927. [PMID: 36938306 PMCID: PMC10017832 DOI: 10.2147/ijgm.s402437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/27/2023] [Indexed: 03/12/2023] Open
Abstract
Background Hypertensive patients have a younger trend, and studies on the role of genetic factors in hypertension susceptibility have been inconsistent. Aldehyde dehydrogenases 2 (ALDH2) and apolipoprotein E (APOE) are involved in the pathophysiological processes of hypertension. To investigate the relationship of ALDH2 and APOE polymorphisms with hypertension in middle-aged (30-59 years old) and elderly (≥60 years old) persons. Methods Two thousand six hundred and ten hypertensive patients and 1921 controls were included (between 30 and 100 years old). The genotypes of common polymorphisms in APOE and ALDH2 genes (APOE rs429358, rs7412, and ALDH2 rs671) of the subjects were analyzed by polymerase-chain reaction (PCR)-microarray. Statistical analyses (Student's t-test, Mann-Whitney U-test, χ 2 test, and logistic regression analysis) were performed with SPSS v21.0. Results There were 4531 participants (66.60 ± 12.10 years old) in this study, including 3057 (67.5%) males and 1474 (32.5%) females. There were no significant differences in distributions of ALDH2 rs671, APOE rs429358/rs7412 genotypes and alleles between hypertensive patients and controls. Persons with ALDH2 rs671 G/A or A/A genotype were less likely to have hypertension (G/A+A/A vs G/G: gender-, age-, smoking-, and drinking-adjusted OR 0.885, 95% CI 0.785-0.997, P=0.045), while ALDH2 rs671 A/A+APOE rs429358 or rs7412 wild-type genotype may decrease the risk of hypertension. In middle-aged group, ALDH2 rs671 G/A+APOE rs429358 T/C carriers (adjusted OR 0.547, 95% CI 0.350-0.856, P=0.008), and ALDH2 rs671 A/A+APOE rs7412 C/C genotypes (adjusted OR 0.567, 95% CI 0.361-0.891, P=0.014) were less likely to have hypertension. In elderly group, APOE rs7412 T/T carriers were more likely to have hypertension (rs671 T/T vs C/C: adjusted OR 4.755, 95% CI 1.075-21.027, P=0.040; rs671 T/T vs C/C or C/T: adjusted OR 4.734, 95% CI 1.071-20.928, P=0.040). Conclusion Polymorphism-polymorphism interactions of ALDH2 rs671 and APOE rs429358/rs7412 may effect on hypertension susceptibility. Different genotypes comparison shows different roles in middle-aged and elderly people, respectively.
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Affiliation(s)
- Xinping Lan
- Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou, People’s Republic of China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, People’s Republic of China
- Correspondence: Xinping Lan, Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, No. 63 Huangtang Road, Meijiang District, Meizhou, People’s Republic of China, Tel +753-2131-057, Email
| | - Zhenchang Wang
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, People’s Republic of China
- Department of Emergency Medicine, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Zifeng Zeng
- Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou, People’s Republic of China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, People’s Republic of China
| | - Huaqing Yao
- Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou, People’s Republic of China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, People’s Republic of China
| | - Weiyong Xu
- Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou, People’s Republic of China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, People’s Republic of China
| | - Yuxian Zhang
- Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou, People’s Republic of China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, People’s Republic of China
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Luo Y, Qu J, He Z, Zhang M, Zou Z, Li L, Zhang Y, Ye J. Human Umbilical Cord Mesenchymal Stem Cells Improve the Status of Hypoxic/Ischemic Cerebral Palsy Rats by Downregulating NogoA/NgR/Rho Pathway. Cell Transplant 2023; 32:9636897231210069. [PMID: 37982384 PMCID: PMC10664427 DOI: 10.1177/09636897231210069] [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: 05/10/2023] [Revised: 08/31/2023] [Accepted: 09/28/2023] [Indexed: 11/21/2023] Open
Abstract
Human umbilical cord mesenchymal stem cells (hUCMSC) have shown promising potential in ameliorating brain injury, but the mechanism is unclear. We explore the role of NogoA/NgR/Rho pathway in mediating hUCMSC to improve neurobehavioral status and alleviate brain injury in hypoxia/ischemia-induced CP (cerebral palsy) rat model in order to promote the clinical application of stem cell therapy in CP. The injury model of HT22 cells was established after 3 h hypoxia, and then co-cultured with hUCMSC. The rat model of CP was established by ligation of the left common carotid artery for 2.5 h. Subsequently, hUCMSC was administered via the tail vein once a week for a total of four times. The neurobehavioral status of CP rats was determined by behavioral experiment, and the pathological brain injury was determined by pathological staining method. The mRNA and protein expressions of NogoA, NgR, RhoA, Rac1, and CDC42 in brain tissues of rats in all groups and cell groups were detected by real-time quantitative polymerase chain reaction (RT-qPCR), Western blot, and immunofluorescence. The CP rats exhibited obvious motor function abnormalities and pathological damage. Compared with the control group, hUCMSC transplantation could significantly improve the neurobehavioral situation and attenuate brain pathological injury in CP rats. The relative expression of NogoA, NgR, RhoA mRNA, and protein in brain tissues of rats in the CP group was significantly higher than the rats in the sham and CP+hUCMSC group. The relative expression of Rac1, CDC42 mRNA, and protein in brain tissues of rats in the CP group was significantly lower than the rats in the sham and CP+hUCMSC group. The animal experiment results were consistent with the experimental trend of hypoxic injury of HT22 cells. This study confirmed that hUCMSC can efficiently improve neurobehavioral status and alleviate brain injury in hypoxia/ischemia-induced CP rat model and HT22 cell model through downregulating the NogoA/NgR/Rho pathway.
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Affiliation(s)
- Yaoling Luo
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Clinical Medicine Research Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Jiayang Qu
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- School of Rehabilitation Medicine Gannan Medical University, Ganzhou, China
| | - Zhengyi He
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Clinical Medicine Research Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Minhong Zhang
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Clinical Medicine Research Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Zhengwei Zou
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Clinical Medicine Research Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Lincai Li
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Clinical Medicine Research Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | | | - Junsong Ye
- Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou, China
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Liu Q, Zhang Y, Lu H, Yan P, Bai X, Cao L, Zuo X, Liu C, Shu Q. Cholinergic dysautonomia in a patient with systemic lupus erythematosus. Rheumatology (Oxford) 2022; 62:e9-e11. [PMID: 35789378 DOI: 10.1093/rheumatology/keac373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/18/2022] [Accepted: 05/22/2022] [Indexed: 12/27/2022] Open
Affiliation(s)
- Qi Liu
- Department of Rheumatology, Qilu Hospital, Cheeloo College of Medicine, Shandong University.,Shandong Provincial Clinical Research Center for Immune Diseases and Gout, Department of Rheumatology, Qilu Hospital, Shandong University, Jinan
| | - Yuxian Zhang
- Department of Rheumatology, Qilu Hospital, Cheeloo College of Medicine, Shandong University.,Shandong Provincial Clinical Research Center for Immune Diseases and Gout, Department of Rheumatology, Qilu Hospital, Shandong University, Jinan
| | - Hongqin Lu
- Department of Rheumatology, Qilu Hospital, Cheeloo College of Medicine, Shandong University
| | - Peng Yan
- Department of Rheumatology, Linyi People's Hospital, Linyi
| | | | | | - Xiuli Zuo
- Department of Gastroenterology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Chao Liu
- Department of Gastroenterology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qiang Shu
- Department of Rheumatology, Qilu Hospital, Cheeloo College of Medicine, Shandong University.,Shandong Provincial Clinical Research Center for Immune Diseases and Gout, Department of Rheumatology, Qilu Hospital, Shandong University, Jinan
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Lin LS, Chen XY, Zhang HP, Chen YF, Zhang YX, Zeng YM. [Efficacy of selective bronchial occlusion in the treatment of intractable pneumothorax]. Zhonghua Yi Xue Za Zhi 2022; 102:3501-3504. [PMID: 36418246 DOI: 10.3760/cma.j.cn112137-20220708-01510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To analyze the effect of selective bronchial occlusion (SBO) in the treatment of intractable pneumothorax. Methods: A total of 86 patients with refractory pneumothorax treated with SBO in the Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Fujian Medical University from January 1, 2019 to December 31, 2021 were included in this study. The basic information, diagnosis and treatment of the patients were collected and analyzed based on their inpatient records. Results: The age of the subjects was (62±11) years old, and 83 cases (96.5%) were male. The first time SBO cure rate was 30.2% (26/86). The effective rate of the first time SBO treatment was 38.4% (33/86), and the final cure rate of SBO was 59.3% (51/86). The total cure rate of SBO combined with other therapies was 73.3% (63/86). The median time [M (Q1, Q3)] from the first plugging to the complete cessation of air leakage in SBO cured patients was 6.5 (3, 7) days, which was shorter than that in the final extubation patients after SBO [11 (7, 19) days] (H=30.24, P<0.001). The median [M (Q1, Q3)] length of hospital stay of the first SBO cured patients was 19 (14, 25) days, which was shorter than that of all patients [28 (19, 37) days] (H=12.89, P=0.002). The median [M (Q1, Q3)] hospitalization expenses of patients with first SBO cure, effective SBO treatment and ineffective SBO treatment were 23 187 (18 906, 27 798), 41 580 (29 388, 50 762) and 38 462 (27 542, 51 720) yuan, respectively, and the difference was statistically significant (H=18.58, P<0.001). The incidence of complications after SBO was 7.59% (11/145). Conclusion: SBO has good efficacy and relative high safety in the treatment of intractable pneumothorax.
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Affiliation(s)
- L S Lin
- Department of Respiratory and Critical Care medicine, the Second Affiliated Hospital of Fujian Medical University, Fujian Respiratory Medicine Center, Fujian Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Quanzhou 362000, China
| | - X Y Chen
- Department of Respiratory and Critical Care medicine, the Second Affiliated Hospital of Fujian Medical University, Fujian Respiratory Medicine Center, Fujian Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Quanzhou 362000, China
| | - H P Zhang
- Department of Respiratory and Critical Care medicine, the Second Affiliated Hospital of Fujian Medical University, Fujian Respiratory Medicine Center, Fujian Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Quanzhou 362000, China
| | - Y F Chen
- Department of Respiratory and Critical Care medicine, the Second Affiliated Hospital of Fujian Medical University, Fujian Respiratory Medicine Center, Fujian Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Quanzhou 362000, China
| | - Y X Zhang
- Department of Respiratory and Critical Care medicine, the Second Affiliated Hospital of Fujian Medical University, Fujian Respiratory Medicine Center, Fujian Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Quanzhou 362000, China
| | - Y M Zeng
- Department of Respiratory and Critical Care medicine, the Second Affiliated Hospital of Fujian Medical University, Fujian Respiratory Medicine Center, Fujian Clinical Research Center for Interventional Diagnosis and Treatment of Respiratory Diseases, Quanzhou 362000, China
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Yu G, Chen F, Wang Y, Chen Q, Liu H, Tian J, Wang M, Ren C, Zhao Q, Yang F, Sheng Y, Wei J, Zhang Y. Exogenous γ-aminobutyric acid strengthens phenylpropanoid and nitrogen metabolism to enhance the contents of flavonoids, amino acids, and the derivatives in edamame. Food Chem X 2022; 16:100511. [DOI: 10.1016/j.fochx.2022.100511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/01/2022] [Accepted: 11/11/2022] [Indexed: 11/17/2022] Open
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Chen Y, Jia J, Zhao Q, Zhang Y, Huang B, Wang L, Tian J, Huang C, Li M, Li X. Novel Loss-of-Function Variant in HNF1a Induces β-Cell Dysfunction through Endoplasmic Reticulum Stress. Int J Mol Sci 2022; 23:ijms232113022. [PMID: 36361808 PMCID: PMC9656704 DOI: 10.3390/ijms232113022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/21/2022] [Accepted: 10/21/2022] [Indexed: 12/02/2022] Open
Abstract
Heterozygous variants in the hepatocyte nuclear factor 1a (HNF1a) cause MODY3 (maturity-onset diabetes of the young, type 3). In this study, we found a case of novel HNF1a p.Gln125* (HNF1a-Q125ter) variant clinically. However, the molecular mechanism linking the new HNF1a variant to impaired islet β-cell function remains unclear. Firstly, a similar HNF1a-Q125ter variant in zebrafish (hnf1a+/−) was generated by CRISPR/Cas9. We further crossed hnf1a+/− with several zebrafish reporter lines to investigate pancreatic β-cell function. Next, we introduced HNF1a-Q125ter and HNF1a shRNA plasmids into the Ins-1 cell line and elucidated the molecular mechanism. hnf1a+/− zebrafish significantly decreased the β-cell number, insulin expression, and secretion. Moreover, β cells in hnf1a+/− dilated ER lumen and increased the levels of ER stress markers. Similar ER-stress phenomena were observed in an HNF1a-Q125ter-transfected Ins-1 cell. Follow-up investigations demonstrated that HNF1a-Q125ter induced ER stress through activating the PERK/eIF2a/ATF4 signaling pathway. Our study found a novel loss-of-function HNF1a-Q125ter variant which induced β-cell dysfunction by activating ER stress via the PERK/eIF2a/ATF4 signaling pathway.
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Affiliation(s)
- Yinling Chen
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
- Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences and School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jianxin Jia
- Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences and School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Qing Zhao
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Yuxian Zhang
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen Diabetes Institute, Xiamen 361003, China
| | - Bingkun Huang
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen Diabetes Institute, Xiamen 361003, China
| | - Likun Wang
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
- Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences and School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Juanjuan Tian
- Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences and School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Caoxin Huang
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen Diabetes Institute, Xiamen 361003, China
| | - Mingyu Li
- Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences and School of Life Sciences, Xiamen University, Xiamen 361102, China
- Correspondence: (M.L.); (X.L.)
| | - Xuejun Li
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen Diabetes Institute, Xiamen 361003, China
- Correspondence: (M.L.); (X.L.)
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Song W, Zhang YL, Zhang Y, Cao F, Rauber M, Salazar G, Kawichai S, Prapamontol T, Szidat S. Is biomass burning always a dominant contributor of fine aerosols in upper northern Thailand? Environ Int 2022; 168:107466. [PMID: 35986983 DOI: 10.1016/j.envint.2022.107466] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/03/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
Biomass burning (BB) is an important contributor to the air pollution in Southeast Asia (SEA), but the emission sources remain great uncertainty. In this study, PM2.5 samples were collected from an urban (Chiang Mai University, CMU) and a rural (Nong Tao village, NT) site in Chiang Mai, Thailand from February to April (high BB season, HBB) and from June to September (low BB season, LBB) in 2018. Source apportionment of carbonaceous aerosols was carried out by Latin Hypercube Sampling (LHS) method incorporating the radiocarbon (14C) and organic markers (e.g., dehydrated sugars, aromatic acids, etc.). Thereby, carbonaceous aerosols were divided into the fossil-derived elemental carbon (ECf), BB-derived EC (ECbb), fossil-derived primary and secondary organic carbon (POCf, SOCf), BB-derived OC (OCbb) and the remaining OC (OCnf, other). The fractions of ECbb generally prevailed over ECf throughout the year. OCbb was the dominant contributor to total carbon with a clear seasonal trend (65.5 ± 5.8 % at CMU and 79.9 ± 7.6 % at NT in HBB, and 39.1 ± 7.9 % and 42.8 ± 4.6 % in LBB). The distribution of POCf showed a spatial difference with a higher contribution at CMU, while SOCf displayed a temporal variation with a greater fraction in LBB. OCnf, other was originated from biogenic secondary aerosols, cooking emissions and bioaerosols as resolved by the principal component analysis with multiple liner regression model. The OCnf, other contributed within a narrow range of 6.6 %-14.4 %, despite 34.9 ± 7.9 % at NT in LBB. Our results highlight the dominance of BB-derived fractions in carbonaceous aerosols in HBB, and call the attention to the higher production of SOC in LBB.
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Affiliation(s)
- Wenhuai Song
- School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China; Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
| | - Yan-Lin Zhang
- School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China.
| | - Yuxian Zhang
- School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Fang Cao
- School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Martin Rauber
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
| | - Gary Salazar
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
| | - Sawaeng Kawichai
- Research Institute for Health Sciences (RIHES), Chiang Mai University, Chiang Mai 50200, Thailand
| | - Tippawan Prapamontol
- Research Institute for Health Sciences (RIHES), Chiang Mai University, Chiang Mai 50200, Thailand
| | - Sönke Szidat
- Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
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45
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Tian LL, Chu F, Zhang Y, Zhao WX, Li L. Switchable 2D/3D display based on a liquid crystal lens array and the rotating specimen shooting method. Opt Lett 2022; 47:3664-3667. [PMID: 35913284 DOI: 10.1364/ol.460263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
A liquid crystal (LC) lenticular lens array with auxiliary electrodes is proposed. The introduction of the auxiliary electrodes helps to obtain an LC lens array (LCLA) with relatively large aperture without complex structures. When the LCLA is in the focusing state, the voltage of auxiliary electrodes is less than that of edge electrodes, and the generated electric field in the LCLA can penetrate into the LC layer. Therefore, the ideal phase profile is obtained with a relatively thin LC layer thickness. Experimental results show that the LCLA has the characteristics of high optical power and low operation voltage. Based on the proposed LCLA, a multi-view 2D/3D switchable display is realized. In the experiment, a series of parallax images is obtained by rotating the sample to replace the convergence shooting method for 3D imaging. Compared with other 2D/3D switchable display devices, the multi-view 2D/3D switchable display based on the LCLA is characterized by being thin and compact, and displaying no moiré pattern.
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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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47
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Xue ZM, Yang G, Guo ZX, Gao ME, Qin QQ, Zhang YX, Zhao J, Kang YX, Li Y, Zhao RL. Investigation on knowledge level about rational use of antimicrobial drugs among pharmacists in medical institutions in Shanxi province, China. Public Health 2022; 209:67-72. [PMID: 35839623 DOI: 10.1016/j.puhe.2022.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 05/03/2022] [Accepted: 05/26/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE To investigate the pharmacist's knowledge about rational use of antimicrobials in Shanxi of China, so as to find out the problems and provide support for the management of antimicrobials. METHODS A questionnaire survey was conducted, which included the basic information of the respondents, the basic knowledge about antimicrobial management and the related knowledge about antimicrobial drugs. SPSS 25.0 was used for statistical analysis. RESULTS A total of 462 pharmacists were investigated. The average score of the knowledge related to rational use of antimicrobials was 10.49 ± 4.05. It showed that the hospital type, grade, pharmacist's education, professional title and years of experience had effect on the pharmacist's knowledge level about antimicrobial drugs (P < 0.05). Multivariable logistic regression analysis showed that hospital grade and pharmacist's education were the main influencing factors (P < 0.05). CONCLUSION Pharmacists have insufficient knowledge about the rational use of antibacterial drugs. It is essential to strengthen the training in management regulations and application of antibacterial drugs.
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Affiliation(s)
- Z M Xue
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - G Yang
- Department of Pediatrics, Shanxi Medical University, Taiyuan, China; Neonatal Internal Medicine, Children's Hospital of Shanxi, Taiyuan, China.
| | - Z X Guo
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - M E Gao
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - Q Q Qin
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - Y X Zhang
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - J Zhao
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - Y X Kang
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - Y Li
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
| | - R L Zhao
- Department of Pharmacy, Shanxi Children's Hospital, Taiyuan, China.
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Yu G, Chen Q, Chen F, Liu H, Lin J, Chen R, Ren C, Wei J, Zhang Y, Yang F, Sheng Y. Glutathione Promotes Degradation and Metabolism of Residual Fungicides by Inducing UDP-Glycosyltransferase Genes in Tomato. Front Plant Sci 2022; 13:893508. [PMID: 35860529 PMCID: PMC9289782 DOI: 10.3389/fpls.2022.893508] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/23/2022] [Indexed: 05/28/2023]
Abstract
Reduced glutathione (GSH) is a key antioxidant, which plays a crucial role in the detoxification of xenobiotics in plants. In the present study, glutathione could reduce chlorothalonil (CHT) residues in tomatoes by inducing the expression of the UDP-glycosyltransferase (UGT) gene. In plants, UGT is an important glycosylation catalyst, which can respond to stresses in time by activating plant hormones and defense compounds. Given the importance of plant growth and development, the genome-wipe analyses of Arabidopsis and soybean samples have been carried out, though not on the tomato, which is a vital vegetable crop. In this study, we identified 143 UGT genes in the tomato that were unevenly distributed on 12 chromosomes and divided into 16 subgroups and found that a variety of plant hormones and stress response cis-elements were discovered in the promoter region of the SlUGT genes, indicating that the UGT genes were involved in several aspects of the tomato stress response. Transcriptome analysis and results of qRT-PCR showed that most SlUGT genes could be induced by CHT, and the expression of these genes was regulated by glutathione. In addition, we found that SlUGT genes could participate in plant detoxification through interaction with transcription factors. These findings further clarify the potential function of the UGT gene family in the detoxification of exogenous substances in tomatoes and provide valuable information for the future study of functional genomics of tomatoes.
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Affiliation(s)
- Gaobo Yu
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Qiusen Chen
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Fengqiong Chen
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Hanlin Liu
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jiaxin Lin
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Runan Chen
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
- College of Tropical Crop, Hainan University, Haikou, China
| | - Chunyuan Ren
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jinpeng Wei
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, China
- Ministry of Agriculture and Rural Affairs Agro-products and Processed Products Quality Supervision, Inspection and Testing Center, Daqing, China
| | - Yuxian Zhang
- College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Fengjun Yang
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Yunyan Sheng
- College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing, China
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49
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Cao L, Qin B, Gong Z, Zhang Y. Melatonin improves nitrogen metabolism during grain filling under drought stress. Physiol Mol Biol Plants 2022; 28:1477-1488. [PMID: 36051233 PMCID: PMC9424397 DOI: 10.1007/s12298-022-01219-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 07/26/2022] [Accepted: 08/04/2022] [Indexed: 05/22/2023]
Abstract
UNLABELLED Drought affects the normal growth and development of soybeans. Melatonin reportedly alleviates drought stress-induced growth inhibition and plant injury, thus, its foliar application presumably has considerable potential in agriculture. However, few studies have investigated the mechanism responsible for its effects on soybean nitrogen metabolism. In this study, pot culture and plant physiological detection, qPCR, and other methods were used for analysis. The purpose of this study was to explore the effects of melatonin and melanin on glutathione metabolism. The results showed that drought stress led to an increase in soluble protein and proline content, concomitantly with a decrease in the activity of nitrogen metabolism-related key enzymes, an increase in inorganic nitrogen content, and a reduction in nitrogen accumulation and transport. Exogenous melatonin application under drought stress significantly increased the expression of key genes involved in nitrogen metabolism and the activity of key enzymes including, GOGAT, NR, Gs and GDH. Enhanced enzyme activity promotes the conversion of nitrate nitrogen in plants, increases proline, soluble protein, and ureide contents, and, consequently, nitrogen accumulation. Altogether, these changes were conducive to greater nitrogen assimilation and transport. Therefore, under drought stress, melatonin application upregulated key genes involved in nitrogen metabolism, thereby enhancing the activity of related enzymes and restoring growth, stable biomass production. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12298-022-01219-y.
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Affiliation(s)
- Liang Cao
- College of Agriculture, Northeast Agricultural University, Harbin, 150006 Heilongjiang China
- Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing, China
| | - Bin Qin
- Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing, China
| | - Zhenping Gong
- College of Agriculture, Northeast Agricultural University, Harbin, 150006 Heilongjiang China
| | - Yuxian Zhang
- Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing, China
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50
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Zhao Q, Chen S, Wang G, Du Y, Zhang Z, Yu G, Ren C, Zhang Y, Du J. Exogenous melatonin enhances soybean (Glycine max (L.) Merr.) seedling tolerance to saline-alkali stress by regulating antioxidant response and DNA damage repair. Physiol Plant 2022; 174:e13731. [PMID: 35717632 DOI: 10.1111/ppl.13731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/13/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Saline-alkali (SA) stress induces excessive reactive oxygen species (ROS) accumulation in plant cells, resulting in oxidative damages of membranes, lipids, proteins, and nucleic acids. Melatonin has antioxidant protection effects in living organisms and thus has received a lot of attention. This study aimed to investigate the effect and regulating mechanism of melatonin treatment on soybean tolerance to SA stress. In this study, cultivars Heihe 49 (HH49, SA-tolerant) and Henong 95 (HN95, SA-sensitive) were pot-cultured in SA soil, then treated with MT (0-300 μM) at V1 stage. SA stress induced ROS accumulation and DNA damage in the seedling roots of both cultivars, causing G1/S arrest in HN95 and G2/M arrest in HH49. Melatonin treatment enhanced the activity of antioxidant enzymes in soybean seedling roots and reduced ROS accumulation. Additionally, melatonin treatment upregulated DNA damage repair genes, thus enhancing the reduction of DNA oxidative damage under SA stress. The effects of melatonin treatment were manifested as decreased RAPD polymorphism, 8-hydroxy-2'-deoxyguanine (8-OH-dG) level, and relative density of apurinic sites (AP-sites). Meanwhile, melatonin treatment partially alleviated the SA-induced G1/S arrest in HN95 and G2/M arrest in HH49, thus enhancing soybean seedling tolerance to SA stress.
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Affiliation(s)
- Qiang Zhao
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Suyu Chen
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Guangda Wang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Yanli Du
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Zhaoning Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Gaobo Yu
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Chunyuan Ren
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Yuxian Zhang
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
| | - Jidao Du
- Heilongjiang Bayi Agricultural University, Key Laboratory of Ministry of Agriculture and Rural Affairs of Soybean Mechanized Production, Daqing, People's Republic of China
- Research Center of Saline and Alkali Land Improvement Engineering Technology in Heilongjiang Province, Daqing, People's Republic of China
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