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Li T, Feng Y, Chen Z, Hou Q, Serrano BR, Barcenas AR, Wu P, Zhao W, Shen M. Effect of quercetin on granulosa cells development from hierarchical follicles in chicken. Br Poult Sci 2024; 65:44-51. [PMID: 37772759 DOI: 10.1080/00071668.2023.2264792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 08/21/2023] [Indexed: 09/30/2023]
Abstract
1. The bioflavonoid quercetin is a biologically active component, but its functional regulation of granulosa cells (GCs) during chicken follicular development is little studied. To investigate the effect of quercetin on follicular development in laying hens, an in vitro study was conducted on granulosa cells from hierarchical follicles treated with quercetin.2. The effect of quercetin on cell activity, proliferation and apoptosis of granulosa cells was detected by CCK-8, EdU and apoptosis assays. The effect on progesterone secretion from granulosa cells was investigated by enzyme-linked immunosorbent assay (ELISA). Expression of proliferating cell nuclear antigen (PCNA) mRNA and oestrogen receptors (ERs), as well as the expression of steroid acute regulatory protein (StAR), cytochrome P450 cholesterol side chain cleavage enzyme (P450scc) and 3β-hydroxysteroid dehydrogenase (3β-HSD) mRNA during progesterone synthesis, were measured by real-time quantitative polymerase chain reaction (RT-qPCR). PCNA, StAR and CYP11A1 protein expression levels were detected using Western blotting (WB).3. The results showed that treatment with quercetin in granulosa cells significantly enhanced cell vitality and proliferation, reduced apoptosis and promoted the expression of gene and protein levels of PCNA. The levels of progesterone secretion increased significantly following quercetin treatment, as did the expression levels of StAR and CYP11A1 using the Western Blot (WB) method.4. The mRNA expression levels of ERα were significantly upregulated in the 100 ng/ml and 1000 ng/ml quercetin-treated groups, while there was no significant difference in expression levels of ERβ mRNA.
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Affiliation(s)
- T Li
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Y Feng
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Z Chen
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Q Hou
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - B R Serrano
- Plant Protein and Bionatural Products Research Center, Havana, Cuba
| | - A R Barcenas
- Plant Protein and Bionatural Products Research Center, Havana, Cuba
| | - P Wu
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - W Zhao
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - M Shen
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
- Laying Hen Breeding and Production Laboratory, Jiangsu Institute of Poultry Science, Yangzhou, China
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202
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Gao C, Li T. Gender specificity of frontal activity based on fNIRS in distinguishing bipolar depression population from health control. J Biophotonics 2024; 17:e202300346. [PMID: 37934196 DOI: 10.1002/jbio.202300346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/19/2023] [Accepted: 10/24/2023] [Indexed: 11/08/2023]
Abstract
Bipolar depression (BD) is a chronic psychiatric disorder characterized by recurring bouts of bipolar mania or hypomania followed by depression. In this essay, we used the functional near-infrared spectroscopy to investigate the frontal function of BD in males and females, which included a total of 43 BD patients and 28 healthy subjects. The hemodynamic response associated with the task was estimated using the generalized linear model (GLM) approach. Wavelet transforms coherence and Granger causality (GC) methods were employed to calculate brain connectivity. GLM and GC results revealed that female patients were more distinguishable from healthy controls than males. Additionally, the correlation between BD scores and GLM results showed that the brain activation of male subjects was affected by their anxiety levels. This study suggests that traditional diagnostic methods for BD may not be as sensitive in men as in women.
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Affiliation(s)
- Chenyang Gao
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ting Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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203
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Zhao Z, Zhao YN, Jin JY, Yang JS, Zhu J, Li T. [Application of cardiac magnetic resonance imaging in subclinical systemic sclerosis primary heart involvement]. Zhonghua Nei Ke Za Zhi 2024; 63:176-182. [PMID: 38326044 DOI: 10.3760/cma.j.cn112138-20231101-00277] [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: 02/09/2024]
Abstract
Objectives: Primary cardiac involvement (SSc-PHI) in systemic sclerosis is an important prognostic factor. We aimed to characterize and identify subclinical SSc-PHI using cardiovascular MRI to determine whether disease severity and serum biomarkers are associated with subclinical SSc-PHI. Methods: A total of 26 patients with SSc who had no history of cardiovascular disease or pulmonary hypertension underwent 3 T-enhanced cardiovascular MRI. Measurements included native T1, extracellular volume, advanced gadolinium enhancement, T2 mapping, and left ventricular volume function. Troponin T and N telencephalic natriuretic peptide precursors were also determined. Results: LGE was observed in 13 of 26 patients (50.0%), suggesting focal fibrosis, and T2 mapping was significantly higher in the dcSSc group than in the lcSSc group (P=0.009). Left ventricular volume and function were within the normal range in all patients, but final systolic left ventricular volume was significantly higher in dcSSc than in lcSSc (P=0.021). The modified Rodnan skin score (mRSS) was significantly higher in patients with LGE focal fibrosis (P=0.019). Logistic regression analysis confirmed the association between mRSS and LGE (OR=1.224, P=0.037). In multivariate analysis, T2 mapping was negatively correlated with disease course, and was correlated with dcSSc and fingertip ulcer (R2=0.711, P=0.018, P=0.013, P=0.030). Troponin T was correlated with T2 mapping (r=0.555, P=0.049). Conclusions: Subclinical SSc-PHI is characterized by diffuse and focal myocardial fibrosis, but preserves myocardial systolic function. Subclinical SSC-Phi is associated with TNT, SSc disease severity, and complex peripheral vascular disease. These data provide information for identifying individuals at risk of SSc-PHI.
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Affiliation(s)
- Z Zhao
- Department of Rheumatology and Immunology,the First Medical Center of the Chinese PLA General Hospital, Beijing 100853, China
| | - Y N Zhao
- Department of Radiology, the First Medical Center of the Chinese PLA General Hospital, Beijing 100853, China
| | - J Y Jin
- Department of Rheumatology and Immunology,the First Medical Center of the Chinese PLA General Hospital, Beijing 100853, China
| | - J S Yang
- Department of Rheumatology and Immunology,the First Medical Center of the Chinese PLA General Hospital, Beijing 100853, China
| | - J Zhu
- Department of Rheumatology and Immunology,the First Medical Center of the Chinese PLA General Hospital, Beijing 100853, China
| | - T Li
- Department of Radiology, the First Medical Center of the Chinese PLA General Hospital, Beijing 100853, China
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204
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Zhang J, Liu Y, Sun Q, Shi J, Ni J, Li T, Long Z, Wei M, Tian J. Comparative efficacy of various exercise interventions on sleep in patients with cognitive impairment: a systematic review and meta-analysis. Front Neurol 2024; 15:1300459. [PMID: 38361643 PMCID: PMC10867314 DOI: 10.3389/fneur.2024.1300459] [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: 09/23/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024] Open
Abstract
Background Sleep disturbances are an early indicator of cognitive impairment and exacerbate its progression. While pharmacological treatments for sleep disorders exist, their side-effect profile includes an increased risk of falls and the potential to exacerbate cognitive impairment. Non-pharmacological treatments such as physical exercise should be considered. However, uncertainties persist. We aimed to assess the potential benefits of exercise interventions on sleep in patients with cognitive impairment and determine the specific effects of various exercise modalities. Materials and methods A systematic search was performed on seven databases for eligible studies published before Nov 2022. Randomized controlled trials of exercise for patients with cognitive impairment (mild cognitive impairment and Alzheimer's disease) were included. All analyses were conducted using RevMan version 5.4. Meta-analysis and The Grading of Recommendations Assessment Development and Evaluations (GRADE) quality ratings were performed on sleep quality and objective sleep data. Results A total of 8 randomized controlled trials were included with a sample size of 486 subjects. For patients with cognitive impairment, physical exercise had a beneficial effect on sleep quality [MD = -3.55 (-5.57, -1.32), Z = 3.13, p = 0.002] and total sleep time [MD = 33.77 (23.92, 43.62), Z = 6.72, P < 0.00001]. No improvement was found in sleep efficiency and nocturnal awakening time. Subgroup analysis showed that multi-component exercise produced superior results. Conclusion Physical exercise may improve sleep quality and total sleep time for patients with cognitive impairment. Multi-component exercise designed individually is more effective. Large-scale randomized controlled trials with objective sleep outcome measurements are warranted.Clinical trial registration: https://www.crd.york.ac.uk/prospero/, identifier: CRD42022377221.
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Affiliation(s)
- Junlei Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yan Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qingling Sun
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Shi
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jingnian Ni
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ting Li
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ziyi Long
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Mingqing Wei
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jinzhou Tian
- Neurology Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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205
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Wu Q, Zhang M, Hu H, Tu Y, Gao P, Li T, Zhang X, Teng J, Wang L. Comparative study on chemical composition, functional properties of dietary fibers prepared from four China cereal brans. Int J Biol Macromol 2024; 257:128510. [PMID: 38043663 DOI: 10.1016/j.ijbiomac.2023.128510] [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: 10/10/2023] [Revised: 11/17/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023]
Abstract
Comparison of chemical composition and functional properties of insoluble and soluble dietary fiber (IDF, SDF) obtained from four China cereal brans was investigated. With findings, IDFs and SDFs for rice bran (RB), wheat bran (WB), highland barely bran (HBB) and tartary buckwheat bran (TBB) contained several monosaccharides such as arabinose, galactose, glucose, xylose, and galacturonic acid. The RBIDF was shrinking and formed a rugged microscopic structure, while the structure of WBIDF was dense and flat. HBBIDF and TBBIDF showed fold and flake structure. The glucose adsorption capacity of the HBBIDF was highest among all samples, which was 3.2 mmol/g. TBBIDF exhibited the highest value of cholesterol adsorption capacity (10.5 mg/g) at pH 7.0 and maximum binding capacity (BCmax, 365.2 μmol/g) for cadmium at pH 7.0 among all samples, respectively. As a result, HBBIDF and TBBIDF are potential fiber-rich ingredients in functional foods.
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Affiliation(s)
- Qinglan Wu
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Ming Zhang
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Haipeng Hu
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Yi Tu
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Pinhan Gao
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Ting Li
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Xinxia Zhang
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Jian Teng
- Shanghai Adfontes Technology Co., Ltd, Caoxi North Road 45, Shanghai 20000, China
| | - Li Wang
- Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Laboratory for Cereal Fermentation Technology, School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China.
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206
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Wang Q, Qu X, Wang H, Chen W, Sun Y, Li T, Chen J, Wang Y, Wang N, Xian J. Arterial spin labeling reveals disordered cerebral perfusion and cerebral blood flow-based functional connectivity in primary open-angle glaucoma. Brain Imaging Behav 2024; 18:231-242. [PMID: 38006574 PMCID: PMC10844339 DOI: 10.1007/s11682-023-00813-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2023] [Indexed: 11/27/2023]
Abstract
PURPOSE Primary open-angle glaucoma (POAG) is a widespread neurodegenerative condition affecting brain regions involved in visual processing, somatosensory processing, motor control, emotional regulation and cognitive functions. Cerebral hemodynamic dysfunction contributes to the pathogenesis of glaucomatous neurodegeneration. We aimed to investigate cerebral blood flow (CBF) redistributed patterns in visual and higher-order cognitive cortices and its relationship with clinical parameters in POAG, and we hypothesized that CBF changes together across regions within the same functional network. METHODS Forty-five POAG patients and 23 normal controls underwent three-dimensional pseudocontinuous arterial spin labeling MRI to measure the resting-state CBF. Group comparisons of CBF and correlations between CBF changes and ophthalmological and neuropsychological indices were assessed. We determined CBF-based functional connectivity (CBFC) by calculating the correlations between specific regions and all other brain voxels and compared CBFC differences between groups. RESULTS The patients exhibited decreased CBF in visual cortices, postcentral gyrus, inferior parietal lobule and cerebellum and increased CBF in medial, middle, and superior frontal gyri, as well as the insula. The reduced CBF in the visual cortices positively correlated with visual field defect (r = 0.498, p = 0.001) in POAG patients, while the increased CBF in the right medial frontal gyrus was negatively associated with the visual field defect (r = -0.438, p = 0.004) and positively associated with the cup-to-disc ratio (r = 0.469, p = 0.002). POAG patients showed negative connections weakening or converting to mild positive connections, as well as positive connections converting to negative connections. CONCLUSIONS Regional and interregional CBF properties confirmed that the aberrant brain regions extend beyond the visual pathway, including the somatosensory, emotional and cognitive networks, which highlights the importance of cerebral hemodynamic dysfunction in the pathophysiology of spreading neurodegeneration in POAG.
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Affiliation(s)
- Qian Wang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, NO.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Xiaoxia Qu
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, NO.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Huaizhou Wang
- Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, NO.1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
- Beijing Institute of Ophthalmology, Capital Medical University, Beijing Tongren Hospital, 17 Hougou Lane, Chongwenmen, Beijing, 100005, China
| | - Weiwei Chen
- Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, NO.1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
- Beijing Institute of Ophthalmology, Capital Medical University, Beijing Tongren Hospital, 17 Hougou Lane, Chongwenmen, Beijing, 100005, China
| | - Yunxiao Sun
- Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, NO.1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
- Beijing Institute of Ophthalmology, Capital Medical University, Beijing Tongren Hospital, 17 Hougou Lane, Chongwenmen, Beijing, 100005, China
| | - Ting Li
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, NO.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Jianhong Chen
- Department of Gastroenterology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Ningli Wang
- Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, NO.1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China.
- Beijing Institute of Ophthalmology, Capital Medical University, Beijing Tongren Hospital, 17 Hougou Lane, Chongwenmen, Beijing, 100005, China.
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, NO.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China.
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207
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Li S, Yuan P, Li T, Li B, Xu R, Yang Y, Zhu L. High-performance interrogator with bilateral input MMI-based AWG. Opt Lett 2024; 49:454-457. [PMID: 38300029 DOI: 10.1364/ol.509893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/16/2023] [Indexed: 02/02/2024]
Abstract
Compact fiber Bragg grating (FBG) interrogator is a widely investigated topic in the field of fiber optic sensing. Here we report a dense spectral arrayed waveguide grating (AWG) chip designed for FBG interrogation. By integrating a multimode interference (MMI) coupler with the AWG, bilateral input phase-differential optical signals were achieved at the input port of the AWG. This chip effectively doubles the output channel count without altering the device footprint, while concurrently reducing the channel spacing without modifying the bandwidth and spectral slope of the output spectrum. We further optimized the method for selecting interrogation channels. The results demonstrate that the dynamic range of the interrogation reaches 13.5 nm with an absolute wavelength resolution of 4 pm and an absolute accuracy better than 20 pm.
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208
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Zhou S, Peng H, Zhao A, Zhang R, Li T, Yang X, Lin D. Synthesis of bacterial cellulose nanofibers/Ag nanoparticles: Structure, characterization and antibacterial activity. Int J Biol Macromol 2024; 259:129392. [PMID: 38218289 DOI: 10.1016/j.ijbiomac.2024.129392] [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: 11/07/2023] [Revised: 12/26/2023] [Accepted: 01/08/2024] [Indexed: 01/15/2024]
Abstract
The aim of this study was to compare the characterization of bacterial cellulose nanofibers/Ag nanoparticles (BCNs/Ag nanoparticles) obtained by three different pretreatment methods of BCNs (no pretreatment, sodium hydroxide activation pretreatment and TEMPO-mediated oxidation pretreatment), which were recoded as N-BCNs/Ag nanoparticles, A-BCNs/Ag nanoparticles and O-BCNs/Ag nanoparticles, respectively. The results of scanning electron microscopy and transmission electron microscopy showed the prepared Ag nanoparticles by three different pretreatment methods were spherical and dispersed on the surface of BCNs, while the Ag nanoparticles in O-BCNs/Ag nanoparticles displayed the smallest diameter with a value of 20.25 nm and showed the most uniform dispersion on the surface of BCNs. The ICP-MS result showed O-BCNs/Ag nanoparticles had the highest content of Ag nanoparticles with a value of 2.98 wt%, followed by A-BCNs/Ag nanoparticles (1.53 wt%) and N-BCNs/Ag nanoparticles (0.84 wt%). The cytotoxicity assessment showed that the prepared BCNs/Ag nanoparticles were relatively safe. Furthermore, the O-BCNs/Ag nanoparticles had the best antioxidant and antibacterial activities as compared with the other two types of BCNs/Ag nanoparticles, where O-BCNs/Ag nanoparticles destroyed the structure of bacterial cell membranes to lead the leakage of intracellular components. This study showed that O-BCNs/Ag nanoparticles as antibacterial agents have great potential in food packaging.
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Affiliation(s)
- Siyu Zhou
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, and Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China
| | - Haonan Peng
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710119, China
| | - Aiqing Zhao
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, and Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China
| | - Runguan Zhang
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, and Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China
| | - Ting Li
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, and Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China
| | - Xingbin Yang
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, and Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China
| | - Dehui Lin
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, and Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
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209
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Shao M, Yao L, Zhang M, Zhou H, Ding Y, Bai L, Ma B, Li T, Guo S, Chen C, Wang T. Post-surgery financial toxicity and its influencing factors in colorectal cancer care: A cross-sectional study. Eur J Oncol Nurs 2024; 68:102518. [PMID: 38309254 DOI: 10.1016/j.ejon.2024.102518] [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: 11/13/2023] [Revised: 01/14/2024] [Accepted: 01/29/2024] [Indexed: 02/05/2024]
Abstract
PURPOSE This study aimed to investigate the influence factors of financial toxicity experienced by colorectal cancer patients after surgery. The results will provide deep insights for developing effective intervention strategies to address this common issue of colorectal cancer care. METHODS In this cross-sectional study, we recruited 213 postoperative patients with colorectal cancer from February 2023 to July 2023 in two major public hospitals. Patients completed the General Information Questionnaire, Comprehensive Scores for Financial Toxicity (COST), Self-perceived Burden Scale (SPBS), Family Resilience Questionnaire (FaREQ), and Social Support Rating Scale (SSRS). A multiple linear regression model was used to investigate the influence factors of financial toxicity. RESULTS The mean score of financial toxicity was medium (18.91 ± 7.90) in this study. Financial toxicity score was negatively correlated with self-perceived burden (r = -0.333, P < 0.01) and positively associated with family resilience (r = 0.365, P < 0.01) and social support (r = 0.388, P < 0.01). Via multiple linear regression analysis, we identified seven significant factors associated with financial toxicity, including family income [(95 %CI: 1.075-3.123); P = 0.000], self-perceived burden [(95 %CI: 0.300∼-0.038); P = 0.012], stoma [(95 %CI: 5.309∼-1.682); P = 0.000], social support [(95 %CI:0.058-0.407); P = 0.009], cancer stage [(95 %CI: 2.178∼-0.170); P = 0.022], postoperative duration [(95 %CI: 1.900∼-0.332); P = 0.005], and family resilience [(95 %CI: 0.028-0.203); P = 0.010]. CONCLUSIONS Financial toxicity was prevalent among postoperative colorectal cancer patients. Additional support and early interventions should be given to high-risk patients, including those with stomas, advanced disease stages, or experiencing longer postoperative duration. Apart from demographic factors, we identified that self-perceived burden, family resilience, and social support were also associated with financial toxicity, providing a new perspective for developing effective strategies against financial toxicity.
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Affiliation(s)
- Mengwei Shao
- The College of Nursing and Health of Zhengzhou University, Zhengzhou, 450001, China.
| | - Liqun Yao
- Weifang Center for Disease Control and Prevention, Weifang, 261053, China.
| | - Menghan Zhang
- The College of Nursing and Health of Zhengzhou University, Zhengzhou, 450001, China
| | - Huiyue Zhou
- The Ninth People's Hospital of Zhengzhou, Zhengzhou, 450053, China
| | - Yangqing Ding
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Lin Bai
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Bin Ma
- School of Medical, Molecular and Forensic Sciences, Murdoch University, 6149, Australia
| | - Ting Li
- The College of Nursing and Health of Zhengzhou University, Zhengzhou, 450001, China
| | - Shengjie Guo
- The College of Nursing and Health of Zhengzhou University, Zhengzhou, 450001, China
| | - Changying Chen
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
| | - Tao Wang
- The College of Nursing and Health of Zhengzhou University, Zhengzhou, 450001, China; Telethon Kids Institute, Perth, WA, 6872, Australia; Medical School, University of Western Australia, Perth, WA, 6872, Australia; People' S Hospital of Hebi, Hebi, 458010, China.
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210
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Tan J, Xiong J, Zhang X, Yang M, Li T, Gong M. The diagnosis and treatment of Criss-Cross injury of the forearm: A retrospective analysis. Injury 2024; 55:111295. [PMID: 38141388 DOI: 10.1016/j.injury.2023.111295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Due to the paucity of 'Criss-Cross' injury, the pathological changes and injury patterns have not been clearly described; as well as the treatment and prognosis. This retrospective study aimed to investigate the treatment and clinical outcomes of 'Criss-Cross' injury of the forearm. METHODS All patients diagnosed with Criss-Cross injury meeting the inclusion and exclusion criteria in our Level 3 hospital (most advanced level) from 2010 to 2022, were enrolled in the study. A total of 12 patients were enrolled in our retrospective analysis. Closed reduction was successful in 3 patients, open reduction performed in the remaining patients. 6 patients associated with a fracture, while 2 cases had a concomitant convergent elbow dislocation. The follow-up time in conservative patients was 23.0 months on average (3-51 months), while 38.4 months in surgery group on average (3-108 months). The forearm function was evaluated with the Anderson's forearm function score. The range of motion (ROM) of the elbow and wrist and forearm rotation including any complications was also documented during the follow-up. RESULTS On final follow-up, ROM of the elbow, wrist, and forearm rotation significantly improved after conservative treatment (50.0 ± 24.5° to 128.3 ± 2.9°, 55.0 ± 7.1° to 166.7 ± 5.8°, 83.3 ± 20.8° to 165.0 ± 15.0°, respectively, p < 0.001) and surgical treatment (41.7 ± 22.4° to 102.8 ± 21.1°, 42.2 ± 16.4° to 125.6 ± 25.1°, 34.4 ± 26.5° to 138.3 ± 22.6°, respectively, p < 0.001). However, compared with the contralateral side, there were still significant difference regarding the ROM of the elbow (102.8 ± 21.1° to 143.9 ± 4.9°), wrist (125.6 ± 25.1° to 167.8 ± 5.1°), and forearm rotation (138.3 ± 22.6° to 163.3 ± 3.5°) after surgical treatment (P < 0.01). Anderson's Forearm Function Score was excellent in all conservative cases and 2 of 9 patients treated with operation. 2 patients complained about occasional elbow locking, wrist pain and reduced power after conservative treatment. 2 patients reported ulnar neuritis after the operation, one of which was treated with anterior transposition of the ulnar nerve. CONCLUSION The Criss-Cross injury could be associated with different fractures and/or simultaneous convergent elbow dislocation. The basic principle of treatment is to reduce both PRUJ and DRUJ by closed reduction or surgery, with early rehabilitation. Most of the patients regained good forearm function after receiving either conservative or surgical treatment.
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Affiliation(s)
- Jie Tan
- Department of Traumatology, Beijing Jishuitan Hospital, Capital Medical University, Xi Cheng District, Beijing, China
| | - Jie Xiong
- Department of Traumatology, Beijing Jishuitan Hospital, Capital Medical University, Xi Cheng District, Beijing, China; Geriatric orthopaedics, Shenzhen Pingle Orthopedic Hospital, No. 15, Lanjin 4th Road, Pingshan District, Shenzhen, Guangdong, China
| | - Xigong Zhang
- Department of Traumatology, Beijing Jishuitan Hospital, Capital Medical University, Xi Cheng District, Beijing, China
| | - Minghui Yang
- Department of Traumatology, Beijing Jishuitan Hospital, Capital Medical University, Xi Cheng District, Beijing, China
| | - Ting Li
- Department of Traumatology, Beijing Jishuitan Hospital, Capital Medical University, Xi Cheng District, Beijing, China
| | - Maoqi Gong
- Department of Traumatology, Beijing Jishuitan Hospital, Capital Medical University, Xi Cheng District, Beijing, China.
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211
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Li T, Liu F, Tan Y, Peng Y, Xu X, Yang Y. PIM3 regulates myocardial ischemia/reperfusion injury via ferroptosis. Genes Genomics 2024; 46:161-170. [PMID: 38148455 DOI: 10.1007/s13258-023-01475-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 06/16/2023] [Accepted: 06/22/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Myocardial ischemia/reperfusion (I/R) injury is closely related with cardiovascular diseases; however, the underlying pathogenic mechanisms remain not fully understood. This study sought to investigate the effect and mechanisms of PIM3 implicated in myocardial I/R injury using a rat model of myocardial I/R injury and a cell model of oxygen-glucose deprivation/reoxygenation (OGD/R) induction. METHODS The morphology changes were detected by HE staining while cell viability was accessed by the CCK-8 method. The characteristics of ferroptosis were evaluated by ROS production, MDA content, SOD level, iron content, TfR1, FTH1, and GPX4 expression. RESULTS Myocardial I/R operation increased myocardial tissue damage in rats, while OGD/R treatment reduced the viability of H9c2 cells. Both myocardial I/R operation and OGD/R stimulation increased ferroptosis, as demonstrated by elevated ROS, MDA, iron content, decreased SOD level, upregulation of TfR1, and downregulation of FTH1 and GPX4. Additionally, myocardial I/R modeling or OGD/R treatment enhanced the expression of PIM3. Silencing of PIM3 inhibited ferroptosis, which resulted in alleviated myocardial I/R-induced damage and improved H9c2 cell survival. CONCLUSIONS Our findings highlight a vital role of PIM3 in myocardial I/R injury, indicating that PIM3-targeting ferroptosis may be a promising target for the development of novel therapies of myocardial I/R injury-associated diseases.
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Affiliation(s)
- Ting Li
- Department of Cardiovascular Medicine, The First Affiliated Hosptal, University of South China, Hengyang, 421001, Hunan, People's Republic of China
| | - Fangyao Liu
- Department of Cardiovascular Medicine, The Second Affiliated Hosptal, University of South China, Hengyang, 421001, Hunan, People's Republic of China
| | - Ying Tan
- Department of Cardiovascular Medicine, The First Affiliated Hosptal, University of South China, Hengyang, 421001, Hunan, People's Republic of China
| | - Yutao Peng
- Department of Cardiovascular Medicine, The First Affiliated Hosptal, University of South China, Hengyang, 421001, Hunan, People's Republic of China
| | - Xuefeng Xu
- Department of Cardiovascular Medicine, The First Affiliated Hosptal, University of South China, Hengyang, 421001, Hunan, People's Republic of China
| | - Yushan Yang
- School of Resource, Environment and Safety Engineering, Univerity of South China, Hengyang, 421001, Hunan, People's Republic of China.
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212
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Li T, Feng C, Wang J. Reconfiguration of the costly punishment network architecture in punishment decision-making. Psychophysiology 2024; 61:e14458. [PMID: 37941501 DOI: 10.1111/psyp.14458] [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: 04/19/2023] [Revised: 09/15/2023] [Accepted: 10/02/2023] [Indexed: 11/10/2023]
Abstract
Human costly punishment is rooted in multiple regions across large-scale functional systems, a collection of which constitutes the costly punishment network (CPN). Our previous study found that the CPN is intrinsically organized in an optimized and reliable manner to support individual costly punishment propensity. However, it remains unknown how the CPN is reconfigured in response to external cognitive demands in punishment decision-making. Here, we combined resting-state and task-functional magnetic resonance imaging to examine the task-related reconfigurations of intrinsic organizations of the CPN when participants made decisions of costly punishment in the Ultimatum Game. Although a strong consistency was observed in the overall pattern and each nodal profile between the intrinsic (task-free) and extrinsic (task-evoked) functional connectivity of the CPN, condition-general and condition-specific reconfigurations were also evident. Specifically, both unfair and fair conditions induced increases in functional connectivity between a few specific pairs of regions, and the unfair condition additionally induced increases in network efficiency of the CPN. Intriguingly, the specific changes in global efficiency of the CPN in the unfair condition were associated with individual differences in costly punishment after adjusting for the corresponding results in the fair condition, which were further identified for females but not for males. These findings were largely reproducible on independent samples. Collectively, our findings provide novel insights into how the CPN adaptively reconfigures its network architecture to support costly punishment.
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Affiliation(s)
- Ting Li
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
- Sichuan Key Laboratory of Psychology and Behavior of Discipline Inspection and Supervision, Chengdu, China
| | - Chunliang Feng
- School of Psychology, South China Normal University, Guangzhou, China
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Jinhui Wang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
- Institute of Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
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213
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Wu S, Li Y, Huang R, Li T, Yu Y, Luo P, Zuo X, He L. Detection and quantification of JAK2V617F copy number by droplet digital PCR versus real-time PCR. Ann Hematol 2024; 103:421-426. [PMID: 37968422 DOI: 10.1007/s00277-023-05544-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023]
Abstract
Myeloproliferative neoplasm (MPN) usually has an adverse prognosis, progressing to acute leukemia or splanchnic vein thromboses (SVTs). Therefore, early diagnosis and intervention are significantly important. Clinically, the burden of JAK2V617F is a vital diagnostic basis, which can be detected during the early stage of MPN. Thus, an accurate and rapid detective technique is urgently required. In recent years, real-time quantitative PCR (qPCR) has primarily been applied to detect the copies of JAK2V617F, whereas droplet digital PCR (ddPCR), a novel and promising detective tool, can conduct precise and repeatable quantification of nucleic acid copies without relying on the standard curve. In our study, both qPCR and ddPCR are used to evaluate the mutation burden of JAK2V617F in a series of gradient diluted standards and clinical JAK2V617F-positive MPN patients' bone marrow samples collected, while using next-generation sequencing technology (NGS) as a contrast. With the help of statistical methods, our study concluded that ddPCR had a better performance in accuracy, sensitivity, and stability, especially in a low burden. Regarding the accuracy, ddPCR showed a better linearity (Pearson R2 = 0.9926; P < 0.0001) than qPCR (Pearson R2 = 0.9772; P < 0.0001). What is more, ddPCR showed lower intra-assay and inter-assay CVs and the limit of detection (LOD) for the series of diluted standards than qPCR, demonstrating better stability and lower LOD. In a nutshell, ddPCR is a more promising technique for the detection and quantification of JAK2V617F.
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Affiliation(s)
- Sanyun Wu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China.
| | - Yixuan Li
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
| | - Ruiying Huang
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
| | - Ting Li
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
| | - Yalan Yu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
| | - Ping Luo
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
| | - Xuelan Zuo
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
| | - Li He
- Department of Hematology, Zhongnan Hospital of Wuhan University, Donghu Road, No. 169, Wuhan, China
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Yang B, Su M, Wang Q, Qu X, Wang H, Chen W, Sun Y, Li T, Wang Y, Wang N, Xian J. Altered stability of dynamic brain functional architecture in primary open-angle glaucoma: a surface-based resting-state fMRI study. Brain Imaging Behav 2024; 18:44-56. [PMID: 37857914 PMCID: PMC10844345 DOI: 10.1007/s11682-023-00800-7] [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] [Accepted: 09/07/2023] [Indexed: 10/21/2023]
Abstract
Delineating the neuropathological characteristics of primary open-angle glaucoma (POAG) is critical for understanding its pathophysiology. While temporal stability represents a crucial aspect of the brain's functional architecture, the specific patterns underlying its contribution to POAG remain unclear. This study aims to analyze the brain functional abnormalities in POAG using functional stability, a dynamic functional connectivity (DFC) approach based on resting-state functional magnetic resonance imaging (rs-fMRI). Seventy patients with POAG and forty-five healthy controls underwent rs-fMRI and ophthalmological examinations. The stability of DFC was calculated as the concordance of DFC over time using a sliding-window approach, and the differences in stability between the two groups were compared. Subsequently, Spearman's correlation analyses were conducted to examine the relationship between functional stability and clinical indicators. Compared with healthy controls, patients with POAG exhibited significantly decreased functional stability in the visual network, including the early visual center, ventral and dorsal stream visual cortex in both hemispheres. Conversely, stability values increased in the bilateral inferior parietal gyrus and right inferior frontal cortex. In POAG patients, the dynamic stability of the left early visual cortex and ventral stream visual cortex correlated with the mean deviation of visual field defects (r = 0.251, p = 0.037). The evidence from this study suggests that functional stability may provide a new understanding of brain alterations in the progression of POAG.
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Affiliation(s)
- Bingbing Yang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Mingyue Su
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Qian Wang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Xiaoxia Qu
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Huaizhou Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Weiwei Chen
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Yunxiao Sun
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Ting Li
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Ningli Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 of Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China.
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215
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Xia X, Li Y, Xiao X, Zhang Z, Mao C, Li T, Wan M. Chemotactic Micro/Nanomotors for Biomedical Applications. Small 2024; 20:e2306191. [PMID: 37775935 DOI: 10.1002/smll.202306191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/12/2023] [Indexed: 10/01/2023]
Abstract
In nature, many organisms respond chemotactically to external chemical stimuli in order to extract nutrients or avoid danger. Inspired by this natural chemotaxis, micro/nanomotors with chemotactic properties have been developed and applied to study a variety of disease models. This chemotactic strategy has shown promising results and has attracted the attention of an increasing number of researchers. This paper mainly reviews the construction methods of different types of chemotactic micro/nanomotors, the mechanism of chemotaxis, and the potential applications in biomedicine. First, based on the classification of materials, the construction methods and therapeutic effects of chemotactic micro/nanomotors based on natural cells and synthetic materials in cellular and animal experiments will be elaborated in detail. Second, the mechanism of chemotaxis of micro/nanomotors is elaborated in detail: chemical reaction induced chemotaxis and physical process driven chemotaxis. In particular, the main differences and significant advantages between chemotactic micro/nanomotors and magnetic, electrical and optical micro/nanomotors are described. The applications of chemotactic micro/nanomotors in the biomedical fields in recent years are then summarized, focusing on the mechanism of action and therapeutic effects in cancer and cardiovascular disease. Finally, the authors are looking forward to the future development of chemotactic micro/nanomotors in the biomedical fields.
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Affiliation(s)
- Xue Xia
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Yue Li
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Xiangyu Xiao
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Ziqiang Zhang
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Chun Mao
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Ting Li
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Mimi Wan
- National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
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Xu H, Hu H, Zhang C, Xue W, Li T, Zhang X, Wang L. Properties of pyrodextrinization corn starch and their inhibitory effect on the retrogradation of fresh rice noodles. Int J Biol Macromol 2024; 257:128555. [PMID: 38056746 DOI: 10.1016/j.ijbiomac.2023.128555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/15/2023] [Accepted: 11/30/2023] [Indexed: 12/08/2023]
Abstract
This study was aimed to investigate the properties of pyrodextrins under different preparation conditions and the effects of pyrodextrins on the retrogradation of fresh rice noodles. Pyrodextrins were made by heating corn starch with and without lactic acid at 180 °C ranging from 1 to 6 h. The molecular weights of pyrodextrins gradually decreased, whereas the branching degree increased and the chain length shrank with the prolongation of heating time. The changes of acid-heat-treated pyrodextrins were more pronounced than those of dry-heat-treated pyrodextrins under the same treatment time. The acid-heat-treated pyrodextrins displayed higher water solubility and lower viscosity, suggesting that they could no longer gel. These results suggest that starch retrogradation could be limited by pyrodextrins, especially acid-heat-treated pyrodextrins. Then, the pyrodextrins were added to fresh rice noodles and the eating and cooking qualities were examined during storage. After 35 days of storage, the pyrodextrin with acid heating at 180 °C for 4 h showed the most effective inhibition on starch retrogradation and was suitable for fresh rice noodles as an anti-retrogradation agent. The study might supply new perspectives on restraining starch retrogradation and promoting the fresh rice noodle industry.
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Affiliation(s)
- Hui Xu
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Engineering Research Center for Bioactive Product Processing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Haipeng Hu
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Engineering Research Center for Bioactive Product Processing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Congnan Zhang
- Jiangsu Nongken Agricultural Development Co., Ltd., Hengshan Road 136, Nanjing 210019, China
| | - Wei Xue
- Jiangsu Nongken Agricultural Development Co., Ltd., Hengshan Road 136, Nanjing 210019, China
| | - Ting Li
- Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Engineering Research Center for Bioactive Product Processing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Xinxia Zhang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Engineering Research Center for Bioactive Product Processing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Lihu Road 1800, Wuxi 214122, China
| | - Li Wang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of Education, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; Jiangsu Provincial Engineering Research Center for Bioactive Product Processing, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Lihu Road 1800, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Lihu Road 1800, Wuxi 214122, China.
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217
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Ai Z, Yao Y, Dang X, Li X, Hou M, Deng Y, Xiao L, Li T, Wang T. Study on the trade-off/synergy between ecosystem services and human well-being based on land use in Weinan City, China. Environ Sci Pollut Res Int 2024; 31:13549-13562. [PMID: 38253832 DOI: 10.1007/s11356-024-31933-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
Change of land use have important impacts on ecosystem services (ESs) and human well-being (HWB), yet the trade-off/synergy among land use, ESs, and HWB has still not received sufficient attention at city regional scales level. Weinan City in the southern of the Loess Plateau of China was taken as the study area. Based on ArcGIS, InVEST model, and RUSLE model, the characteristics of spatial and temporal variations of land use and ESs from 2000 to 2020 were analyzed, and the trade-off/synergy relationship between land use, ESs, and HWB was quantified using correlation analysis. The results indicated that the area of cultivated land decreased significantly and the area of built-up land increased significantly from 2000 to 2020 in Weinan City. The grain production, soil conservation, and water yield functions showed an increasing trend, which was a synergistic relationship with HWB. Carbon storage and habitat quality functions showed a decreasing trend, which was a trade-off relationship with HWB. The index value of HWB has increased significantly, mainly in the added value of agricultural and rural per capita income. Land use intensity has a trade-off relationship with GP, WY functions, and HWB. There are many factors that affect this trade-off/synergy relationship, such as land use patterns, economic development, and population growth. The study can provide a theoretical basis for the sustainable development of regional economy and nature.
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Affiliation(s)
- Zemin Ai
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China.
| | - Yuyan Yao
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Xiaohu Dang
- College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Xinghua Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Mengjia Hou
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Yi Deng
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Lie Xiao
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, 710048, Shaanxi, People's Republic of China
| | - Ting Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Tao Wang
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
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Feng J, Dong L, Wang H, Xie Y, Wang H, Ding L, Song G, Zhang J, Li T, Shen Q, Zhang Y. Application of aptamer-conjugated graphene oxide for specific enrichment of microcystin-LR in Achatina fulica prior to matrix-assisted laser desorption ionization mass spectrometry. Electrophoresis 2024; 45:275-287. [PMID: 37768831 DOI: 10.1002/elps.202300107] [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: 05/16/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023]
Abstract
Microcystin-LR (MC-LR), as a hepatotoxin, can cause liver swelling, hepatitis, and even liver cancer. In this study, MC-LR aptamer (Apt-3) modified graphene oxide (GO) was designed to enrich MC-LR in white jade snail (Achatina fulica) and pond water, followed by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) analysis. Results indicated that the Apt-3/PEG/GO nanocomposites were highly specific to MC-LR, and the detection limit of MALDI-MS was 0.50 ng/mL. Moreover, the MC-LR can be released from nanocomposites at 75°C, thus, the reuse of Apt-3/PEG/GO is realized. Real sample analysis indicated that the Apt-3/PEG/GO nanocomposites coupled with MALDI-MS were efficient in detecting trace amounts of MC-LR in real samples. With the merits of being low cost, reusable, and easy to besynthesized, this Apt-3/PEG/GO MALDI-MS is expected to be comprehensively applied by anchoring suitable aptamers for different targets.
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Affiliation(s)
- Junli Feng
- Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, P. R. China
| | - Linpei Dong
- Institute of Forensic Science, Ministry of Public Security, Beijing, P. R. China
| | - Haixing Wang
- Key Laboratory of Drug Monitoring and Control of Zhejiang Province, National Anti-Drug Laboratory Zhejiang Regional Center, Hangzhou, P. R. China
| | - Yihong Xie
- Heart Center, Department of Cardiovascular Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, P. R. China
| | - Huizi Wang
- Heart Center, Department of Cardiovascular Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, P. R. China
| | - Lan Ding
- Heart Center, Department of Cardiovascular Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, P. R. China
| | - Gongshuai Song
- Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, P. R. China
| | - Jian Zhang
- Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, P. R. China
| | - Ting Li
- Affiliated Hangzhou Xixi Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China
| | - Qing Shen
- Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, P. R. China
| | - Yunfeng Zhang
- Institute of Forensic Science, Ministry of Public Security, Beijing, P. R. China
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, P. R. China
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219
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Fang Y, Shi L, Qin F, Li T, Zhang X, Li M. Influence of Family-Learned Fear-of-Pain on Patients. Pain Manag Nurs 2024; 25:11-18. [PMID: 37183071 DOI: 10.1016/j.pmn.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 04/01/2023] [Accepted: 04/07/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Fear-of-pain is a common feeling of patients and their family who experience or witness severe or chronic pain. Fear-of-pain may disturb patient's recovery, and also influence family support to assist patients' recovery. AIM This study is to measure the level of family support for each patient; evaluate the extent of the supporting families' fear-of-pain; and identify possible interventions in family support and family fear-of-pain. METHODS This cross-sectional descriptive research involved 77 participants in the orthopedics department of a tertiary hospital by convenience sampling. The online questionnaire includes general information, and scales of fear-of-pain, pain anxiety, pain vigilance and awareness, pain catastrophizing, and family support. T-test, Pearson correlation analysis and Spearman correlation analysis were used to analyze data. RESULTS Most participants reported that they experienced a moderate-to-high level of fear-of-pain, pain anxiety, pain vigilance and awareness. A total of 15.6% of participants are at risk of pain catastrophizing. The family's pain vigilance and awareness, and fear-of-pain were often similar to those of the patient, and their levels of pain anxiety and catastrophizing were often higher than the patient's. Family support and families' fear-of-pain affect patients' feelings of pain and families' behavior in decision-making for patient recovery, necessitating the development of interventions for patients' families. CONCLUSIONS Family members can develop the fear-of-pain from witnessing painful experiences and may exhibit fear-avoidance behaviors in deciding on patients' rehabilitation plan. Family support, including the type of relationship with families, and length of time family spent with the patient, had an effect on patients' pain and fear-of-pain.
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Affiliation(s)
- Yaxuan Fang
- School of Nursing, Southern Medical University, Guangdong, China; Faculty of Nursing, Chiang Mai University, Chiangmai, Thiland
| | - Lei Shi
- School of Nursing, Southern Medical University, Guangdong, China.
| | - Fang Qin
- School of Nursing, Southern Medical University, Guangdong, China
| | - Ting Li
- School of Nursing, Southern Medical University, Guangdong, China
| | - Xishun Zhang
- Department of Orthopedics, Foshan First People's Hospital, Foshan, Guangdong, China
| | - Manman Li
- People's Hospital of Nanhai District, Foshan, Guangdong, China
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220
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Wang T, Yang C, Li Z, Li T, Zhang R, Zhao Y, Cheng T, Zong Z, Ma Y, Zhang D, Deng H. Flavonoid 4,4'-dimethoxychalcone selectively eliminates senescent cells via activating ferritinophagy. Redox Biol 2024; 69:103017. [PMID: 38176315 PMCID: PMC10791569 DOI: 10.1016/j.redox.2023.103017] [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: 11/03/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/06/2024] Open
Abstract
Flavonoids are bioactive natural polyphenolic compounds with health benefits, including anti-tumor, anti-inflammatory and anti-aging effects. Our previous studies revealed that a flavonoid 4,4'-dimethoxychalcone (DMC) induced ferroptosis via inhibiting ferrochelatase (FECH). However, the effect of DMC on cellular senescence is unknown. In the present study, we found that DMC treatment selectively eliminated senescent cells, and DMC alone or a combination of DMC and quercetin or dasatinib showed high efficiency in the clearance of senescent cells. We identified FECH was highly expressed in senescent cells compared to non-senescent cells. Mechanistically, we found that DMC inhibited FECH and induced ferritinophagy, which led to an increase of labile iron pool, triggering ferroptosis of senescent cells. Importantly, we found that DMC treatment prevented hair loss, improved motor coordination, and reduced the expression of several senescence-associated secretory phenotype factors (IL-6, IL-1β, CXCL-10, and MMP12) in the liver of old mice. Collectively, we revealed that, through the induction of ferroptosis, DMC holds the promise as a new senolytics to prevent age-related pathologies.
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Affiliation(s)
- Tianxiang Wang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Changmei Yang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Zhiqiang Li
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Ting Li
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Ran Zhang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Yujiao Zhao
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Tianyi Cheng
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Zhaoyun Zong
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Yingying Ma
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Dongyuan Zhang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China
| | - Haiteng Deng
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systematic Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, PR China.
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221
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Zhang Y, Han Y, Hou F, Li T. Hematoidin and empyema induced by Streptococcus constellatus infection. Intensive Care Med 2024; 50:294-295. [PMID: 38117318 DOI: 10.1007/s00134-023-07302-6] [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] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023]
Affiliation(s)
- Yun Zhang
- Department of Clinical Laboratory, The District People's Hospital of Zhangqiu, Jinan, 250200, Shandong, China
| | - Yanling Han
- Department of Cardiology, The District People's Hospital of Zhangqiu, Jinan, 250200, Shandong, China
| | - Fengling Hou
- Department of Cardiology, The District People's Hospital of Zhangqiu, Jinan, 250200, Shandong, China
| | - Ting Li
- Department of Laboratory Medicine, Beijing Ludaopei Hospital, Beijing, 100176, China.
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222
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Liang P, Guo M, Wang D, Li T, Li R, Li D, Cheng S, Zhen C, Zhang L. Molecular and functional characterization of heat-shock protein 70 in Aphis gossypii under thermal and xenobiotic stresses. Pestic Biochem Physiol 2024; 199:105774. [PMID: 38458681 DOI: 10.1016/j.pestbp.2024.105774] [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: 05/30/2023] [Revised: 11/22/2023] [Accepted: 01/08/2024] [Indexed: 03/10/2024]
Abstract
Aphis gossypii, a globally distributed and economically significant pest of several crops, is known to infest a wide range of host plants. Heat shock proteins (Hsps), acting as molecular chaperones, are essential for the insect's environmental stress responses. The present study investigated the molecular characteristics and expression patterns of AgHsp70, a heat shock protein gene, in Aphis gossypii. Our phylogenetic analysis revealed that AgHsp70 shared high similarity with homologs from other insects, suggesting a conserved function across species. The developmental expression profiles of AgHsp70 in A. gossypii showed that the highest transcript levels were observed in the fourth instar nymphs, while the lowest levels were detected in the third instar nymphs. Heat stress and exposure to four different xenobiotics (2-tridecanone, tannic acid, gossypol, and flupyradifurone (4-[(2,2-difluoroethyl)amino]-2(5H)-furanone)) significantly up-regulated AgHsp70 expression. Knockdown of AgHsp70 using RNAi obviously increased the susceptibility of cotton aphids to 2-tridecanone, gossypol and flupyradifurone. Dual-luciferase reporter assays revealed that gossypol and flupyradifurone significantly enhanced the promoter activity of AgHsp70 at a concentration of 10 mg/L. Furthermore, we identified the transcription factor heat shock factor (HSF) as a regulator of AgHsp70, as silencing AgHSF reduced AgHsp70 expression. Our results shed light on the role of AgHsp70 in xenobiotic adaptation and thermo-tolerance.
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Affiliation(s)
- Pingzhuo Liang
- Department of Entomology, China Agricultural University, Beijing 100193, China
| | - Mingyu Guo
- Department of Entomology, China Agricultural University, Beijing 100193, China
| | - Dan Wang
- Department of Entomology, China Agricultural University, Beijing 100193, China
| | - Ting Li
- Department of Biological Sciences, Alabama State University, Montgomery, AL 36104, United States
| | - Ren Li
- Department of Entomology, China Agricultural University, Beijing 100193, China
| | - Dapeng Li
- The Museum of Chinese Gardens and Landscape Architecture, Beijing 100072, China
| | - Shenhang Cheng
- Department of Entomology, China Agricultural University, Beijing 100193, China
| | - Congai Zhen
- Department of Entomology, China Agricultural University, Beijing 100193, China.
| | - Lei Zhang
- Department of Entomology, China Agricultural University, Beijing 100193, China.
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223
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Li T, Yu J, Sun X, Lv G. A huge spleen with papillary intralymphatic angioendothelioma. Dig Liver Dis 2024; 56:365-366. [PMID: 37989615 DOI: 10.1016/j.dld.2023.11.002] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 11/23/2023]
Affiliation(s)
- Ting Li
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Jiaao Yu
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Xiaodong Sun
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, China.
| | - Guoyue Lv
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, China.
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Lu Y, Zhang J, Li H, Li T. Association of non-alcoholic fatty liver disease with self-reported osteoarthritis among the US adults. Arthritis Res Ther 2024; 26:40. [PMID: 38297351 PMCID: PMC10829206 DOI: 10.1186/s13075-024-03272-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 01/19/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND The association between non-alcoholic fatty liver disease (NAFLD) and osteoarthritis (OA) has not been well elucidated. The aim of the present study was to investigate the association between NAFLD and OA in the US adults. METHODS A cross-sectional study was performed on participants in the 2017-2018 National Health and Nutrition Examination Survey (NHANES) cycle. NAFLD was defined by the vibration-controlled transient elastography. The diagnosis of OA was based on self-reported data. Weighted multiple logistic regression models and stratified analyses were performed to explore the relationship and verify the stability of the conclusions. Sensitivity analysis using multiple imputation for missing data and propensity score matching (PSM) were performed. RESULTS In total, 2622 participants [Male: 1260 (47.8%)] were included in this study with a mean age of 48.1 years old (95% CI, 46.6-49.6 years old), containing 317 (12.8%) OA patients and 1140 NAFLD patients (41.5%). A logistic regression indicated a significant association between NAFLD and OA without adjustment [odds ratio (OR) = 2.05; 95% CI, 1.52-2.78]. The association remained stable after adjustment for covariates (OR = 1.72; 95% CI, 1.26-2.34). Sensitivity analysis of missing data with multiple interpolation and PSM found similar results. A significant and consistent association of NAFLD with OA was still observed in each subgroup stratified by age and metabolic syndrome (MetS). Stratified by sex, obesity, and sensitivity c-reactive protein (hs-CRP) category, a statistically significant association was only shown in females, those without obesity, and those without hyper hs-CRP. The results illustrated that the relationship between NAFLD and OA was stable in all subgroups and had no interaction. CONCLUSIONS NAFLD was positively correlated with OA. Given the current pandemic of NAFLD and OA, clinicians should screen for NAFLD in arthritis patients and intervene early.
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Affiliation(s)
- Yu Lu
- Department of Rheumatology and Immunology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianyu Zhang
- Department of Rheumatology and Immunology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hejun Li
- Department of Rheumatology and Immunology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ting Li
- Department of Rheumatology and Immunology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Chen X, Huang L, Yu W, He W, Li T, Liu Y. [Prevalence of taeniasis and sero - prevalence of anti - cysticercus antibody among residents in Tibetan agricultural areas of Sichuan Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:633-637. [PMID: 38413025 DOI: 10.16250/j.32.1374.2023130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To investigate the prevalence and epidemiological characteristics of taeniasis and cysticercosis among residents in Tibetan agricultural areas of Sichuan Province, so as to provide insights for the prevention and control of taeniasis and cysticercosis. METHODS From 2016 to 2022, Kangding City, Daocheng County, Derong County, Ruoergai County and Muli Tibetan Autonomous County were sampled from Tibetan agricultural areas of Ganzi Tibetan Autonomous Prefecture, Aba Tibetan and Qiang Autonomous Prefecture and Liangshan Yi Autonomous Prefecture in Sichuan Province, and 1 to 6 townships were sampled from each county (district), followed by 4 to 7 villages sampled from each township. Primary school children were sampled using a cluster sampling method, and permanent residents at ages of over 16 years were randomly sampled from each village. Participants' demographics, history of tapeworm excretion during the past year and clinical symptoms and signs of cysticercosis were collected through questionnaire surveys, and participants' stool and venous blood samples were collected. Taenia eggs were detected in stool samples using the direct smear method, and deworming was performed among taeniasis patients with areca nut-squash seeds. The tapeworm species were identified using a multiplex PCR assay, and serum specific IgG antibody against cysticercus was detected using enzyme-linked immunosorbent assay (ELISA). RESULTS A total of 5 249 respondents participated in the questionnaire survey, including 603 respondents (11.5%) with a self-reported history of proglottids secretion during the past year. A total of 3 976 residents were subjected to stool examinations, and the detection of Taenia eggs was 6.5%. Of 258 participants undergoing deworming, there were 403 cases (94.2%) with excretions of Taenia worms or proglottids. The mean prevalence of taeniasis was 10.9% (439/4 043), and there were gender-, age- and region-specific prevalence rates of taeniasis (χ2 = 36.73, 126.31 and 163.41, all P values < 0.05). Multiplex PCR assays detected 41 cases with T. solium infections (12.5%), 197 cases with T. saginata infections (59.9%) and 91 cases with T. asiatica infections (27.6%) among 329 patients undergoing deworming, and there were region-specific prevalence rates of T. solium, T. saginata and T. asiatica infections (χ2 = 45.39, P < 0.05). In addition, the sero-prevalence of anti-cysticercus IgG antibody was 7.0% (345/4 933), and there were age- and region-specific sero-prevalence rates of anti-cysticercus IgG antibody (χ2 = 13.49 and 51.76, both P values < 0.05). CONCLUSIONS Multiple Taenia species are prevalent in Tibetan agricultural areas of Sichuan Province and the sero-prevalence of anti-cysticercus antibody is high among residents. Monitoring and control of taeniasis and cysticercosis should be strengthened.
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Affiliation(s)
- X Chen
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
- Co-first authors
| | - L Huang
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
- Co-first authors
| | - W Yu
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - W He
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - T Li
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - Y Liu
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
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226
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Chong S, Li T, Qiao S, Yang YC, Liu Z, Yang J, Tuan HY, Cao G, Huang W. Boosting Manganese Selenide Anode for Superior Sodium-Ion Storage via Triggering α → β Phase Transition. ACS Nano 2024; 18:3801-3813. [PMID: 38236141 DOI: 10.1021/acsnano.3c12215] [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] [Indexed: 01/19/2024]
Abstract
Sodium-ion batteries (SIBs) have been extensively studied owing to the abundance and low-price of Na resources. However, the infeasibility of graphite and silicon electrodes in sodium-ion storage makes it urgent to develop high-performance anode materials. Herein, α-MnSe nanorods derived from δ-MnO2 (δ-α-MnSe) are constructed as anodes for SIBs. It is verified that α-MnSe will be transferred into β-MnSe after the initial Na-ion insertion/extraction, and δ-α-MnSe undergoes typical conversion mechanism using a Mn-ion for charge compensation in the subsequent charge-discharge process. First-principles calculations support that Na-ion migration in defect-free α-MnSe can drive the lattice distortion to phase transition (alpha → beta) in thermodynamics and dynamics. The formed β-MnSe with robust lattice structure and small Na-ion diffusion barrier boosts great structure stability and electrochemical kinetics. Hence, the δ-α-MnSe electrode contributes excellent rate capability and superior cyclic stability with long lifespan over 1000 cycles and low decay rate of 0.0267% per cycle. Na-ion full batteries with a high energy density of 281.2 Wh·kg-1 and outstanding cyclability demonstrate the applicability of δ-α-MnSe anode.
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Affiliation(s)
- Shaokun Chong
- Frontiers Science Center for Flexible Electronics, Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
| | - Ting Li
- Frontiers Science Center for Flexible Electronics, Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
| | - Shuangyan Qiao
- Frontiers Science Center for Flexible Electronics, Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
| | - Yi-Chun Yang
- Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Zhengqing Liu
- Frontiers Science Center for Flexible Electronics, Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
| | - Jing Yang
- School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China
| | - Hsing-Yu Tuan
- Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Guozhong Cao
- Department of Materials and Engineering, University of Washington, Seattle, Washington 98195-2120, United States
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics, Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
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Li T, Chu C, Wei B, Lu H. Immunity debt: Hospitals need to be prepared in advance for multiple respiratory diseases that tend to co-occur. Biosci Trends 2024; 17:499-502. [PMID: 38072445 DOI: 10.5582/bst.2023.01303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
As SARS-CoV-2 transitions from a pandemic to an endemic presence, a significant rise in respiratory diseases such as influenza and Mycoplasma pneumonia is challenging healthcare systems weakened by the impact of COVID-19. This commentary examines the global resurgence of respiratory pathogens, heightened by the post-pandemic "immunity debt", through an analysis of WHO surveillance data and national health reports. Findings reveal a substantial increase in respiratory illnesses, notably among children, compounded by a shortage of pediatricians and growing antimicrobial resistance. This underscores the need to improve hospital preparedness, optimize clinical responses, and enhance public health strategies to effectively navigate the impending peak of concurrent respiratory infections.
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Affiliation(s)
- Ting Li
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the Third People's Hospital of Shenzhen, Shenzhen, Guangdong, China
- Centre for Environment and Population Health, School of Medicine and Dentistry, Griffith University, Brisbane, Australia
| | - Cordia Chu
- Centre for Environment and Population Health, School of Medicine and Dentistry, Griffith University, Brisbane, Australia
| | - Biying Wei
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the Third People's Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Hongzhou Lu
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the Third People's Hospital of Shenzhen, Shenzhen, Guangdong, China
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Li R, Zhang B, Li T, Yao X, Feng T, Ai H, Huang X. Identification and Characterization of the BZR Transcription Factor Genes Family in Potato ( Solanum tuberosum L.) and Their Expression Profiles in Response to Abiotic Stresses. Plants (Basel) 2024; 13:407. [PMID: 38337940 PMCID: PMC10856970 DOI: 10.3390/plants13030407] [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: 12/15/2023] [Revised: 01/20/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024]
Abstract
Brassinazole resistant (BZR) genes act downstream of the brassinosteroid signaling pathway regulating plant growth and development and participating in plant stress responses. However, the BZR gene family has not systematically been characterized in potato. We identified eight BZR genes in Solanum tuberosum, which were distributed among seven chromosomes unequally and were classified into three subgroups. Potato and tomato BZR proteins were shown to be closely related with high levels of similarity. The BZR gene family members in each subgroup contained similar conserved motifs. StBZR genes exhibited tissue-specific expression patterns, suggesting their functional differentiation during evolution. StBZR4, StBZR7, and StBZR8 were highly expressed under white light in microtubers. StBZR1 showed a progressive up-regulation from 0 to 6 h and a progressive down-regulation from 6 to 24 h after drought and salt stress. StBZR1, StBZR2, StBZR4, StBZR5, StBZR6, StBZR7 and StBZR8 were significantly induced from 0 to 3 h under BR treatment. This implied StBZR genes are involved in phytohormone and stress response signaling pathways. Our results provide a theoretical basis for understanding the functional mechanisms of BZR genes in potato.
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Affiliation(s)
- Ruining Li
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
| | - Bolin Zhang
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
| | - Ting Li
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
| | - Xuyang Yao
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
| | - Tingting Feng
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
| | - Hao Ai
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
| | - Xianzhong Huang
- Center for Crop Biotechnology, Anhui Science and Technology University, Chuzhou 239000, China
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Li T, Yao B, Zhu L, Deng L, Yang Y, Chen Y, Xu L, Gu C. Color gamut extension algorithm for various images based on laser display. Opt Express 2024; 32:3891-3911. [PMID: 38297600 DOI: 10.1364/oe.507868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/08/2024] [Indexed: 02/02/2024]
Abstract
In pursuit of enhancing the display performance of gamut extension algorithms across diverse image types while minimizing image dependency, this study introduces a dynamic gamut extension algorithm. The algorithm is designed to extend the sRGB source gamut towards the wide gamut of a laser display. To evaluate its effectiveness, psychophysical experiments were conducted using four distinct image categories: complexions, scenery, objects, and color blocks and bars. The performance of the proposed algorithm was benchmarked against four established color gamut mapping algorithms. The comparative analysis revealed that our algorithm excels in handling wide color gamuts, outperforming the alternatives in terms of preference and the preservation of detail richness.
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230
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Shu Y, Li T, Miao N, Gou J, Huang X, Cui Z, Xiong R, Wen C, Zhou J, Sa B, Sun Z. Contact engineering for 2D Janus MoSSe/metal junctions. Nanoscale Horiz 2024; 9:264-277. [PMID: 38019263 DOI: 10.1039/d3nh00450c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
The flourish of two-dimensional (2D) materials provides a versatile platform for building high-performance electronic devices in the atomic thickness regime. However, the presence of the high Schottky barrier at the interface between the metal electrode and the 2D semiconductors, which dominates the injection and transport efficiency of carriers, always limits their practical applications. Herein, we show that the Schottky barrier can be controllably lifted in the heterostructure consisting of Janus MoSSe and 2D vdW metals by different means. Based on density functional theory calculations and machine learning modelings, we studied the electrical contact between semiconducting monolayer MoSSe and various metallic 2D materials, where a crossover from Schottky to Ohmic/quasi-Ohmic contact is realized. We demonstrated that the band alignment at the interface of the investigated metal-semiconductor junctions (MSJs) deviates from the ideal Schottky-Mott limit because of the Fermi-level pinning effects induced by the interface dipoles. Besides, the effect of the thickness and applied biaxial strain of MoSSe on the electronic structure of the junctions are explored and found to be powerful tuning knobs for electrical contact engineering. It is highlighted that using the sure-independence-screening-and-sparsifying-operator machine learning method, a general descriptor WM3/exp(Dint) was developed, which enables the prediction of the Schottky barrier height for different MoSSe-based MSJ. These results provide valuable theoretical guidance for realizing ideal Ohmic contacts in electronic devices based on the Janus MoSSe semiconductors.
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Affiliation(s)
- Yu Shu
- Multiscale Computational Materials Facility, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Ting Li
- Multiscale Computational Materials Facility, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Naihua Miao
- School of Materials Science and Engineering, Beihang University, Beijing 100191, P. R. China.
| | - Jian Gou
- School of Physics, Zhejiang University, Hangzhou 310058, P. R. China
| | - Xiaochun Huang
- Department of Physics, University of Hamburg, D-20355 Hamburg, Germany.
| | - Zhou Cui
- Multiscale Computational Materials Facility, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Rui Xiong
- Multiscale Computational Materials Facility, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Cuilian Wen
- Multiscale Computational Materials Facility, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Jian Zhou
- School of Materials Science and Engineering, Beihang University, Beijing 100191, P. R. China.
| | - Baisheng Sa
- Multiscale Computational Materials Facility, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Zhimei Sun
- School of Materials Science and Engineering, Beihang University, Beijing 100191, P. R. China.
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231
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Cao Y, Zhu G, Feng C, Chen J, Gan W, Ma Y, Hu Y, Dhana K, Voortman T, Shen J, Li T, Zheng Y, Yuan C, Zong G. Cardiovascular risk burden, dementia risk and brain structural imaging markers: a study from UK Biobank. Gen Psychiatr 2024; 37:e101209. [PMID: 38292861 PMCID: PMC10826560 DOI: 10.1136/gpsych-2023-101209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/11/2023] [Indexed: 02/01/2024] Open
Abstract
Background Cardiovascular risk burden is associated with dementia risk and neurodegeneration-related brain structure, while the role of genetics and incident cardiovascular disease (CVD) remains unclear. Aims To examine the association of overall cardiovascular risk burden with the risk of major dementia subtypes and volumes of related brain regions in a large sample, and to explore the role of genetics and CVD onset. Methods A prospective study among 354 654 participants free of CVD and dementia (2006-2010, mean age 56.4 years) was conducted within the UK Biobank, with brain magnetic resonance imaging (MRI) measurement available for 15 104 participants since 2014. CVD risk burden was evaluated by the Framingham General Cardiovascular Risk Score (FGCRS). Dementia diagnosis was ascertained from inpatient and death register data. Results Over a median 12.0-year follow-up, 3998 all-cause dementia cases were identified. Higher FGCRS was associated with increased all-cause dementia risk after adjusting for demographic, major lifestyle, clinical factors and the polygenic risk score (PRS) of Alzheimer's disease. Comparing the high versus low tertile of FGCRS, the odds ratios (ORs) and 95% confidence intervals (CIs) were 1.26 (1.12 to 1.41) for all-cause dementia, 1.67 (1.33 to 2.09) for Alzheimer's disease and 1.53 (1.07 to 2.16) for vascular dementia (all ptrend<0.05). Incident stroke and coronary heart disease accounted for 14% (95% CI: 9% to 21%) of the association between FGCRS and all-cause dementia. Interactions were not detected for FGCRS and PRS on the risk of any dementia subtype. We observed an 83% (95% CI: 47% to 128%) higher all-cause dementia risk comparing the high-high versus low-low FGCRS-PRS category. For brain volumes, higher FGCRS was associated with greater log-transformed white matter hyperintensities, smaller cortical volume and smaller grey matter volume. Conclusions Our findings suggest that the positive association of cardiovascular risk burden with dementia risk also applies to major dementia subtypes. The association of cardiovascular risk burden with all-cause dementia is largely independent of CVD onset and genetic predisposition to dementia.
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Affiliation(s)
- Yaying Cao
- Department of Food Nutrition and Health, School of Medicine and Health, Harbin Institute of Technology, Harbin, Heilongjiang, China
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Gaohong Zhu
- Department of Nuclear Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Jing Chen
- Neurology Department, Zhongshan Hospital Affiliated with Fudan University, Shanghai, China
| | - Wei Gan
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Yuan Ma
- Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Klodian Dhana
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Jie Shen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ting Li
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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Bartolacci JG, Behun MN, Warunek JP, Li T, Sahu A, Dwyer GK, Lucas A, Rong J, Ambrosio F, Turnquist HR, Badylak SF. Matrix-bound nanovesicle-associated IL-33 supports functional recovery after skeletal muscle injury by initiating a pro-regenerative macrophage phenotypic transition. NPJ Regen Med 2024; 9:7. [PMID: 38280914 PMCID: PMC10821913 DOI: 10.1038/s41536-024-00346-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 01/04/2024] [Indexed: 01/29/2024] Open
Abstract
Injuries to skeletal muscle are among the most common injuries in civilian and military populations, accounting for nearly 60% of extremity injuries. The standard of care for severe extremity injury has been focused upon limb salvage procedures and the utilization of tissue grafts or orthotics in conjunction with rehabilitation to avoid amputation. Nonetheless, many patients have persistent strength and functional deficits that permanently impact their quality of life. Preclinical and clinical studies have shown that partial restoration of functional skeletal muscle tissue following injury can be achieved by the implantation of a biologic scaffold composed of extracellular matrix (ECM). These favorable outcomes are mediated, at least in part, through local immunomodulation. The mechanisms underlying this immunomodulatory effect, however, are poorly understood. The present study investigates a potential mechanistic driver of the immunomodulatory effects; specifically, the effect of selected ECM components upon inflammation resolution and repair. Results show that the host response to skeletal muscle injury is profoundly altered and functional recovery decreased in il33-/- mice compared to age- and sex-matched wildtype counterparts by 14 days post-injury. Results also show that IL-33, contained within matrix-bound nanovesicles (MBV), supports skeletal muscle regeneration by regulating local macrophage activation toward a pro-remodeling phenotype via canonical and non-canonical pathways to improve functional recovery from injury compared to untreated il33-/- counterparts. Taken together, these data suggest that MBV and their associated IL-33 cargo represent a novel homeostatic signaling mechanism that contributes to skeletal muscle repair.
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Affiliation(s)
- J G Bartolacci
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - M N Behun
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - J P Warunek
- Departments of Surgery and Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - T Li
- Departments of Surgery and Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - A Sahu
- Department of Physical Medicine and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - G K Dwyer
- Departments of Surgery and Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - A Lucas
- Departments of Surgery and Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - J Rong
- McGowan Institute for Regenerative Medicine, Pittsburgh, USA
| | - F Ambrosio
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
- McGowan Institute for Regenerative Medicine, Pittsburgh, USA
| | - H R Turnquist
- Departments of Surgery and Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
- McGowan Institute for Regenerative Medicine, Pittsburgh, USA.
| | - S F Badylak
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Departments of Surgery and Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
- McGowan Institute for Regenerative Medicine, Pittsburgh, USA.
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Wang Q, Li T, Zhang X, Zeng Y, Yang Y, Zhou Y, Gu X, Xie X, Ling S. Distinctive Imaging Characteristics of Retinal and Cerebral Vessels between Central and Branch Retinal Vein Occlusion by MRI and AI-Based Image Analyzer. Diagnostics (Basel) 2024; 14:267. [PMID: 38337783 PMCID: PMC10854905 DOI: 10.3390/diagnostics14030267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/04/2024] [Accepted: 01/13/2024] [Indexed: 02/12/2024] Open
Abstract
Retinal vessels have been good predictive and prognostic imaging biomarkers for systemic or eye diseases. Numerous studies have shown that the two retinal vein occlusion entities may correlate with cardiovascular and cerebrovascular events or primary open-angle glaucoma. This study aims to investigate if there is a disparity in the correlations between branch RVO (BRVO) and central RVO (CRVO) with systemic disorders or POAG, thus explaining the pathogenic difference between BRVO and CRVO. This retrospective case-control study enrolled 59 RVO subjects (118 eyes), including 25 CRVO and 34 BRVO subjects, who received routine eye and brain MRI examinations. The geometric characteristics of the caliber of the retinal and cerebral blood vessels and the optic nerve subarachnoid space width (ONSASW) were measured. Multivariable logistic regression analysis showed that ONSASW at 3 mm behind the globe (p = 0.044) and the relative retinal venular calibers (p = 0.031) were independent risk factors for the CRVO-affected eyes group in comparison with the BRVO-affected eyes group after adjusting for age, duration of hypertension, BMI, and IOP. In the CRVO-affected eyes, narrower relative retinal arteriolar calibers (p = 0.041) and wider relative venular calibers (p = 0.011) were independent risk factors compared with the CRVO-contralateral normal eyes when adjusting for IOP. We concluded that BRVO may be more associated with cerebrovascular diseases, and CRVO may be correlated with primary angle glaucoma. The geometric characteristics difference between the retinal and cerebrovascular may explain the pathological difference between CRVO and BRVO.
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Affiliation(s)
- Qiyun Wang
- Beijing Tongren Eye Center, Tongren Hospital, Capital Medical University, Beijing 100730, China; (Q.W.); (Y.Z.); (Y.Y.); (X.G.)
- Beijing Retinal and Choroidal Vascular Disorders Study Group, Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Ting Li
- Department of Radiology, Capital Medical University, Beijing Tongren Hospital, Beijing 100176, China;
| | - Xinyuan Zhang
- Beijing Tongren Eye Center, Tongren Hospital, Capital Medical University, Beijing 100730, China; (Q.W.); (Y.Z.); (Y.Y.); (X.G.)
- Beijing Retinal and Choroidal Vascular Disorders Study Group, Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Yiyun Zeng
- Beijing Tongren Eye Center, Tongren Hospital, Capital Medical University, Beijing 100730, China; (Q.W.); (Y.Z.); (Y.Y.); (X.G.)
- Beijing Retinal and Choroidal Vascular Disorders Study Group, Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Yang Yang
- Beijing Tongren Eye Center, Tongren Hospital, Capital Medical University, Beijing 100730, China; (Q.W.); (Y.Z.); (Y.Y.); (X.G.)
- Beijing Retinal and Choroidal Vascular Disorders Study Group, Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Yun Zhou
- China National Clinical Research Center for Neurological Diseases, Tiantan Hospital, Capital Medical University, Beijing 100730, China;
| | - Xinming Gu
- Beijing Tongren Eye Center, Tongren Hospital, Capital Medical University, Beijing 100730, China; (Q.W.); (Y.Z.); (Y.Y.); (X.G.)
- Beijing Retinal and Choroidal Vascular Disorders Study Group, Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Xiaobin Xie
- Eye Hospital of China Academy of Chinese Medical Sciences, Beijing 100040, China;
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Yi W, Hu M, Shi L, Li T, Bai C, Sun F, Ma H, Zhao Z, Yan S. Whole genome sequencing identified genomic diversity and candidated genes associated with economic traits in Northeasern Merino in China. Front Genet 2024; 15:1302222. [PMID: 38333624 PMCID: PMC10851152 DOI: 10.3389/fgene.2024.1302222] [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: 09/26/2023] [Accepted: 01/12/2024] [Indexed: 02/10/2024] Open
Abstract
Introduction: Northeast Merino (NMS) is a breed developed in Northeast China during the 1960s for wool and meat production. It exhibits excellent traits such as high wool yield, superior meat quality, rapid growth rate, robust disease resistance, and adaptability to cold climates. However, no studies have used whole-genome sequencing data to investigate the superior traits of NMS. Methods: In this study, we investigated the population structure, genetic diversity, and selection signals of NMS using whole-genome sequencing data from 20 individuals. Two methods (integrated haplotype score and composite likelihood ratio) were used for selection signal analysis, and the Fixation Index was used to explore the selection signals of NMS and the other two breeds, Mongolian sheep and South African meat Merino. Results: The results showed that NMS had low inbreeding levels, high genomic diversity, and a pedigree of both Merino breeds and Chinese local breeds. A total length of 14.09 Mb genomic region containing 287 genes was detected using the two methods. Further exploration of the functions of these genes revealed that they are mainly concentrated in wool production performance (IRF2BP2, MAP3K7, and WNT3), meat production performance (NDUFA9, SETBP1, ZBTB38, and FTO), cold resistance (DNAJC13, LPGAT1, and PRDM16), and immune response (PRDM2, GALNT8, and HCAR2). The selection signals of NMS and the other two breeds annotated 87 and 23 genes, respectively. These genes were also mainly focused on wool and meat production performance. Conclusion: These results provide a basis for further breeding improvement, comprehensive use of this breed, and a reference for research on other breeds.
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Affiliation(s)
- Wenfeng Yi
- College of Animal Science, Jilin University, Changchun, China
| | - Mingyue Hu
- College of Animal Science, Jilin University, Changchun, China
| | - Lulu Shi
- College of Animal Science, Jilin University, Changchun, China
| | - Ting Li
- College of Animal Science, Jilin University, Changchun, China
| | - Chunyan Bai
- College of Animal Science, Jilin University, Changchun, China
| | - Fuliang Sun
- College of Agriculture, Yanbian University, Yanji, China
| | - Huihai Ma
- Institute of Animal Husbandry and Veterinary, Jilin Academy of Agricultural Sciences, Gongzhuling, China
| | - Zhongli Zhao
- Institute of Animal Husbandry and Veterinary, Jilin Academy of Agricultural Sciences, Gongzhuling, China
| | - Shouqing Yan
- College of Animal Science, Jilin University, Changchun, China
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235
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Li T, Zong G, Peng P, Wang S, Cheng B. Accelerometer-measured physical activity and sample-based frailty in older women: does pattern really matter? Front Public Health 2024; 11:1304279. [PMID: 38332942 PMCID: PMC10850322 DOI: 10.3389/fpubh.2023.1304279] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/29/2023] [Indexed: 02/10/2024] Open
Abstract
Background The relationship between the patterns of physical activity (PA) and frailty, including its various subdomains, remains poorly understood. Therefore, this study aims to investigate the correlations between the patterns of physical activity and frailty and its various subdomains in community-dwelling older women. Methods A cross-sectional study investigated the association between physical activity and frailty in 1,099 women aged between 60 to 70 years. Triaxial accelerometers were used to measure bouted PA (a minimum duration of 10 min) and sporadic PA (a duration of <10 min). Fried's frailty phenotype was utilized to evaluate the status of frailty. Data were analyzed using logistic regression and the receiver operating characteristic (ROC) curve. Results Bouted moderate-to-vigorous PA (MVPA) and sporadic MVPA were associated with decreased odds of being prefrail and frail, and the optimal cutoff values were 6 and 19.7 for the prefrail stage and 6.6 and 19.4 min/day for the frail stage, respectively. Bouted light PA (LPA) was associated with decreased odds of being prefrail, and the optimal cutoff value was 170.2 min/day. Additionally, bouted and sporadic MVPA were associated with decreased odds of being slow and their optimal cutoff values were 5 and 19.1 min/day, respectively. Sporadic MVPA was associated with decreased odds of exhaustion, and the cutoff was 19.7 min/day. Bouted MVPA and LPA were associated with decreased odds of having low PA, and the cutoff values were 4.4 and 163.2 min/day, respectively. Conclusion Any MVPA, regardless of bout duration, could be used as a suitable PA program to improve and prevent frailty in older women, such as bouted MVPA (4-5 times/week) or sporadic MVPA (20 min/day). The improvement effect of bouted and sporadic MVPA on the frailty of older people may not be affected by the subdomain. Additionally, bouted LPA was suitable for the management of prefrailty.
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Affiliation(s)
- Ting Li
- School of Physical Education, Shandong University, Jinan, China
| | | | - Pan Peng
- Ezhou High School, Ezhou, Hubei, China
| | - Shiqiang Wang
- College of Physical Education, Hunan University of Technology, Zhuzhou, China
- Hunan Key Laboratory of Physical Health and Sports Fitness, Zhuzhou, China
- Hunan Research Centre in Physical Fitness, Health, and Performance Excellence, Hunan University of Technology, Hunan, China
| | - Bin Cheng
- School of Physical Education, Shandong University, Jinan, China
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236
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Qu L, Li T, Cun S, Zheng X, Xiang M, Dong Y, Ji X, Bian L, Li Q, Zhao X. A chromatographic method for determining the interaction between a drug and two target proteins by fabricating a dual-heterogeneous surface. J Chromatogr A 2024; 1715:464606. [PMID: 38154257 DOI: 10.1016/j.chroma.2023.464606] [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: 10/29/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 12/30/2023]
Abstract
Characterization of the drug-target interactions is pivotal throughout the whole procedure of drug development. Most of the current assays, particularly, chromatographic methods lack the capacity to reveal drug adsorption on the muti-target surface. To this end, we derived a reliable and workable mathematical equation for revealing drug bindings to dual targets on the heterogeneous surface starting from the mass balance equation. The derivatization relied on the correlation of drug injection amounts with their retention factors. Experimental validation was performed by determining the binding parameters of three canonical drugs on a heterogeneous surface, which was fabricated by fusing angiotensin receptor type I and type II receptors (AT1R and AT2R) at the terminuses of circularly permuted HaloTag (cpHaloTag) and immobilizing the whole fusion protein onto 6-bromohexanoic acid modified silica gel. We proved that immobilized AT1R-cpHalo-AT2R maintained the original ligand- and antibody-binding activities of the two receptors in three weeks. The association constants of valsartan, candesartan, and telmisartan to AT1R were (6.26±0.14) × 105, (9.66±0.71) × 105, and (3.17±0.03) × 105 L/mol. In the same column, their association constants to AT2R were (1.25±0.04) × 104, (2.30±0.08) × 104, and (8.51±0.06) × 103 L/mol. The patterns of the association constants to AT1R/AT2R (candesartan>valsartan>telmisartan) were in good line with the data by performing nonlinear chromatography on control columns containing immobilized AT1R or AT2R alone. This provided proof of the fact that the derivatization allowed the determination of drug bindings on the heterogeneous surface with the utilization of a single series of injections and linear regression. We reasoned that is simple enough to model the bindings of drug adsorption on commercially available adsorbents in fundamental or industrial fields, thus having the potential to become a universal method for analyzing the bindings of a drug to the heterogeneous surface containing multiple targets.
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Affiliation(s)
- Lejing Qu
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Ting Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Sidi Cun
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Xinxin Zheng
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Mingjuan Xiang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Yuxuan Dong
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Xu Ji
- Engineering Research Center of Tibetan Medicine Detection Technology, Ministry of Education, Xizang Minzu University, Xianyang 712082, China
| | - Liujiao Bian
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Qian Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China.
| | - Xinfeng Zhao
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an 710069, China
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237
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Chen R, Hu HJ, Qu Z, Li T, Liu CB, Wang CL, Sun SJ, Dong C, Qiu Y. Field-induced Bose-Einstein condensation in zigzag spin chain KGaCu(PO 4) 2. J Phys Condens Matter 2024; 36:165801. [PMID: 38096589 DOI: 10.1088/1361-648x/ad15c9] [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: 10/06/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024]
Abstract
Single crystals of GaKCu(PO4)2were synthesized using the hydrothermal method, and subsequent measurements of specific heat, magnetic susceptibility, and high-field magnetization were performed. A broad peak is observed in the magnetic susceptibility and specific heat curves, with the maximum values appearing at about 11.5 K and 5.29 K, respectively. The highest maximum peak value of susceptibility is observed when the magnetic field is applied along thec-axis, followed by thea-axis,b-axis, and polycrystalline samples. These indicate that the system exhibits one-dimensional magnetism and the magnetic easy axis is thecaxis. The magnetization at 2 K reveals the occurrence of a field-induced Bose-Einstein condensation (BEC) phase within the magnetic field range of approximately 8-12 T. High-field magnetization up to 40 T indicates that the compound reaches magnetization saturation as the field exceedsHs= 12 T. Through systematic measurements, a field-temperature (H-T) phase diagram was constructed, and dome-like phase boundaries were observed. The findings suggest that GaKCu(PO4)2is a spin gap system and a promising candidate for studying BEC of magnons due to its phase transition boundary occurring at low magnetic fields.
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Affiliation(s)
- R Chen
- Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - H J Hu
- Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - Z Qu
- Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - T Li
- Wuhan National High Magnetic Field Center and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - C B Liu
- Wuhan National High Magnetic Field Center and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
- College of Physics and Electronic Engineering, Nanyang Normal University, Nanyang 473061, People's Republic of China
| | - C L Wang
- Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - S J Sun
- Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - C Dong
- Wuhan National High Magnetic Field Center and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Y Qiu
- Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, People's Republic of China
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238
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Wang C, Si J, Yan L, Li T, Hou X. Energy transfer enhanced photoluminescence of 2D/3D CsPbBr3 hybrid assemblies. J Chem Phys 2024; 160:034704. [PMID: 38226829 DOI: 10.1063/5.0187699] [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: 11/15/2023] [Accepted: 12/22/2023] [Indexed: 01/17/2024] Open
Abstract
Energy transfer has been proven to be an effective method to optimize optoelectronic conversion efficiency by improving light absorption and mitigating nonradiative losses. We prepared 2D/3D CsPbBr3 hybrid assemblies at different reaction temperatures using the hot injection method and found that the photoluminescence quantum yields (PLQYs) of these hybrids were greatly enhanced from 53.4% to 72.57% compared with 3D nanocrystals (NCs). Femtosecond transient absorption measurements were used to study the PLQY enhancement mechanisms, and it was found that the hot carrier lifetime improved from 0.36 to 1.88 ps for 2D/3D CsPbBr3 hybrid assemblies owing to the energy transfer from 2D nanoplates to 3D NCs. The energy transfer benefits the excited carrier accumulation and prolonged hot carrier lifetime in 3D NCs in hybrid assemblies, as well as PLQY enhancement in materials.
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Affiliation(s)
- Chenxu Wang
- Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Photonics Technology for Information, School of Electronic Science and Engineering, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China
| | - Jinhai Si
- Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Photonics Technology for Information, School of Electronic Science and Engineering, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China
| | - Lihe Yan
- Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Photonics Technology for Information, School of Electronic Science and Engineering, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China
| | - Ting Li
- Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Photonics Technology for Information, School of Electronic Science and Engineering, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China
| | - Xun Hou
- Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Photonics Technology for Information, School of Electronic Science and Engineering, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China
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239
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Luo Y, Guo X, Lü Y, Zhang L, Li T. Combining spatiotemporal interactions of ecosystem services with land patterns and processes can benefit sensible landscape management in dryland regions. Sci Total Environ 2024; 909:168485. [PMID: 37972775 DOI: 10.1016/j.scitotenv.2023.168485] [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: 08/05/2023] [Revised: 11/04/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
The study of land-use patterns and transitions has extended its influence into multiple ecosystem services (ESs) and their relationships, the integration of which can offer an opportunity to enhance the credibility of ES assessments in spatial landscape planning and management. However, it is not clear whether actual trade-offs/synergies are consistent at different spatial and temporal scales and have similar responses to land use/land cover (LULC). In this study, based on ecological zoning, we simulated three typical ESs (soil retention, water yield and carbon sequestration) and their correlations in the Loess Plateau of China. Furthermore, the spatial relationships among ESs and LULC patterns and the temporal relationships among ESs and LULC transfer were discussed to identify possible implications for future land-use management. The results showed that there were obvious trade-offs or synergies at the spatial scale, and most synergetic relationships among the three ESs weakened during 2000-2020. However, unstable values are approximately 0 at the temporal scale, so the relationship using "space-for-time" approach exaggerates the temporal coupling among ESs. Most spatial ES interactions decreased with increasing ratio of forest and grassland, which deserves more attention in ecological restoration. It is indispensable to consider both spatial and temporal variations in ES relationships as LULC changes to achieve sustainable development in multiscale landscape planning.
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Affiliation(s)
- Ying Luo
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi Province, China
| | - Xingjian Guo
- College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, Shaanxi Province, China; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an 710127, Shaanxi Province, China
| | - Yihe Lü
- State Key Laboratory of Urban and Region Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Liwei Zhang
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi Province, China
| | - Ting Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi Province, China
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240
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Ying X, Huang C, Li T, Li T, Gao M, Wang F, Cao J, Liu J. An RNA Methylation-Sensitive AIEgen-Aptamer Reporting System for Quantitatively Evaluating m 6A Methylase and Demethylase Activities. ACS Chem Biol 2024; 19:162-172. [PMID: 38105499 DOI: 10.1021/acschembio.3c00613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
N6-Methyladenosine (m6A) chemical modification determines the fate of the mammalian cellular mRNA to modulate crucial physiological and pathological processes. Dysregulations of m6A methylase and demethylase have been linked to cancer diseases. Therefore, evaluations of enzyme mutants' activities and related inhibitors for discovery of targeted therapeutic strategies are very necessary. Here, we report an RNA methylation-sensitive fluorescent aptamer reporting assay to measure the catalytic activities of m6A enzymes under various conditions. The rationale is that when an RNA aptamer, named A-Pepper, is methylated at a specific adenosine position to generate m6A-Pepper, the latter displays stronger fluorescence than the former upon binding the ligand, which is an aggregation-induced emission-active luminogen. The fluorescence signal enhancement is linearly proportional to the RNA methylation extent, which is equivalent to the methylase activity. On the contrary, the m6A demethylase activity is measured through calculating the fluorescence signal decrease caused by the switching from m6A-Pepper to A-Pepper. The assay has been successfully applied to quantitatively evaluate the mutation and inhibitor effects on the activities of m6A methylases METTL3/METTL14 and demethylase FTO, and the obtained results are well-consistent with those quantified by the expensive and time-consuming golden standard LC-MS/MS. Our work provides a simple tool capable of detecting m6A enzymes' activities and screening their inhibitors in a rapid, quantitative, cost-effective, and high-throughput manner.
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Affiliation(s)
- Xiner Ying
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Chenyang Huang
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Tengwei Li
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Ting Li
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Minsong Gao
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Fengqin Wang
- College of Animal Sciences, Key Laboratory of Animal Nutrition & Feed Sciences, Ministry of Agriculture, Zhejiang University, Hangzhou 310058, China
| | - Jie Cao
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
- Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
| | - Jianzhao Liu
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China
- Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
- Center for RNA Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
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241
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Ablikim M, Achasov MN, Adlarson P, Ai XC, Aliberti R, Amoroso A, An MR, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang TT, Chang WL, Che GR, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Coen SC, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du MC, Du SX, Duan ZH, Egorov P, Fan YHY, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Fu JL, Fu YW, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo MJ, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou XT, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hüsken N, Imoehl W, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia XQ, Jia ZK, Jiang HJ, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, K X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Khoukaz A, Kiuchi R, Kliemt R, Kolcu OB, Kopf B, Kuessner M, Kupsc A, Kühn W, Lane JJ, Larin P, Lavania A, Lavezzi L, Lei TT, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li JW, Li KL, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li QX, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Liang C, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Liao YP, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muskalla J, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi HC, Shi JL, Shi JY, Shi QQ, Shi RS, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian WH, Tian Y, Tian ZF, Uman I, Wang SJ, Wang B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang JP, Wang K, Wang LL, Wang M, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei D, Wei DH, Weidner F, Wen SP, Wenzel CW, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xian XM, Xiang T, Xiao D, Xiao GY, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Yao ZP, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhai YC, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang X, Zhang Y, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou JH, Zu J. First Measurement of the Decay Asymmetry in the Pure W-Boson-Exchange Decay Λ_{c}^{+}→Ξ^{0}K^{+}. Phys Rev Lett 2024; 132:031801. [PMID: 38307076 DOI: 10.1103/physrevlett.132.031801] [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: 09/06/2023] [Accepted: 11/30/2023] [Indexed: 02/04/2024]
Abstract
Based on 4.4 fb^{-1} of e^{+}e^{-} annihilation data collected at the center-of-mass energies between 4.60 and 4.70 GeV with the BESIII detector at the BEPCII collider, the pure W-boson-exchange decay Λ_{c}^{+}→Ξ^{0}K^{+} is studied with a full angular analysis. The corresponding decay asymmetry is measured for the first time to be α_{Ξ^{0}K^{+}}=0.01±0.16(stat)±0.03(syst). This result reflects the noninterference effect between the S- and P-wave amplitudes. The phase shift between S- and P-wave amplitudes has two solutions, which are δ_{p}-δ_{s}=-1.55±0.25(stat)±0.05(syst) rad or 1.59±0.25(stat)±0.05(syst) rad.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - X C Ai
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - R Aliberti
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Amoroso
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - M R An
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - I Balossino
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - V Batozskaya
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Berlowski
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - F Bianchi
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - E Bianco
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - A Bortone
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - A Brueggemann
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - T T Chang
- Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Che
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - C Chen
- Nankai University, Tianjin 300071, People's Republic of China
| | - Chao Chen
- Soochow University, Suzhou 215006, People's Republic of China
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S M Chen
- Tsinghua University, Beijing 100084, People's Republic of China
| | - T Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Q Chen
- Jilin University, Changchun 130012, People's Republic of China
| | - Z J Chen
- Hunan University, Changsha 410082, People's Republic of China
| | | | - S K Choi
- Chung-Ang University, Seoul 06974, Republic of Korea
| | - X Chu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Cibinetto
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - S C Coen
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - J J Cui
- Shandong University, Jinan 250100, People's Republic of China
| | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Yunnan University, Kunming 650500, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - R E de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - F De Mori
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - B Ding
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Jinan, Jinan 250022, People's Republic of China
| | - X X Ding
- Peking University, Beijing 100871, People's Republic of China
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - Y Ding
- Jilin University, Changchun 130012, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Dong
- Wuhan University, Wuhan 430072, People's Republic of China
| | - M C Du
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Z H Duan
- Nanjing University, Nanjing 210093, People's Republic of China
| | - P Egorov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y H Y Fan
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y L Fan
- Wuhan University, Wuhan 430072, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W X Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121 Alessandria, Italy
- INFN, I-10125 Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J H Feng
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - K Fischer
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C Fritzsch
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Fu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y W Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Gao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y N Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Yang Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | | | - I Garzia
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
- University of Ferrara, I-44122 Ferrara, Italy
| | - P T Ge
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Z W Ge
- Nanjing University, Nanjing 210093, People's Republic of China
| | - C Geng
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - A Gilman
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Liaoning University, Shenyang 110036, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Gramigna
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
- University of Ferrara, I-44122 Ferrara, Italy
| | - M Greco
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Guan
- Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - A Q Guo
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M J Guo
- Shandong University, Jinan 250100, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200433, People's Republic of China
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - W Y Han
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K K He
- Soochow University, Suzhou 215006, People's Republic of China
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - C H Heinz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C Herold
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - P C Hong
- Fudan University, Shanghai 200433, People's Republic of China
| | - G Y Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K X Huang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - L Q Huang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Huang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | - N Hüsken
- Indiana University, Bloomington, Indiana 47405, USA
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - J Jackson
- Indiana University, Bloomington, Indiana 47405, USA
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - J H Jeong
- Chung-Ang University, Seoul 06974, Republic of Korea
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Y Ji
- Shandong University, Jinan 250100, People's Republic of China
| | - X Q Jia
- Shandong University, Jinan 250100, People's Republic of China
| | - Z K Jia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H J Jiang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - P C Jiang
- Peking University, Beijing 100871, People's Republic of China
| | - S S Jiang
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - T J Jiang
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Jiang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - M Q Jing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - X K
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica 1000000, Chile
| | | | - X L Kang
- China University of Geosciences, Wuhan 430074, People's Republic of China
| | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Kavatsyuk
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - B C Ke
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuessner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Kupsc
- National Centre for Nuclear Research, Warsaw 02-093, Poland
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - P Larin
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Lavania
- Indian Institute of Technology Madras, Chennai 600036, India
| | - L Lavezzi
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - T T Lei
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z H Lei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H N Li
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - Hui Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - J R Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - J S Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - J W Li
- Shandong University, Jinan 250100, People's Republic of China
| | - K L Li
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - M H Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Q X Li
- Shandong University, Jinan 250100, People's Republic of China
| | - S X Li
- Fudan University, Shanghai 200433, People's Republic of China
| | - T Li
- Shandong University, Jinan 250100, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Xiaoyu Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y G Li
- Peking University, Beijing 100871, People's Republic of China
| | - Z J Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C Liang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Liang
- Jilin University, Changchun 130012, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - L Z Liao
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Liao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - A Limphirat
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - D X Lin
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Lin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B X Liu
- Wuhan University, Wuhan 430072, People's Republic of China
| | - C Liu
- Jilin University, Changchun 130012, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - G M Liu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - H Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J L Liu
- University of South China, Hengyang 421001, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - Ke Liu
- Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L C Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Lu Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - M H Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - P L Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W K Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - W M Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y Liu
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F X Lu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Central South University, Changsha 410083, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z H Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200433, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y F Lyu
- Nankai University, Tianjin 300071, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Ma
- Peking University, Beijing 100871, People's Republic of China
| | - Y M Ma
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Q A Malik
- University of the Punjab, Lahore-54590, Pakistan
| | - A Mangoni
- INFN Sezione di Perugia, I-06100 Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - H Miao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Yu Muchnoi
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - J Muskalla
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - I B Nikolaev
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - Y Niu
- Shandong University, Jinan 250100, People's Republic of China
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN Sezione di Perugia, I-06100 Perugia, Italy
- University of Perugia, I-06100 Perugia, Italy
| | - X Pan
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Pan
- Southeast University, Nanjing 211100, People's Republic of China
| | - A Pathak
- Jilin University, Changchun 130012, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - Y P Pei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Plura
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Pogodin
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - V Prasad
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica 1000000, Chile
| | - F Z Qi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J J Qin
- University of South China, Hengyang 421001, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Fudan University, Shanghai 200433, People's Republic of China
| | - X S Qin
- Shandong University, Jinan 250100, People's Republic of China
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - K J Ren
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | | | - V Rodin
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Rolo
- INFN, I-10125 Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - S N Ruan
- Nankai University, Tianjin 300071, People's Republic of China
| | - N Salone
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M Scodeggio
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122 Ferrara, Italy
- University of Ferrara, I-44122 Ferrara, Italy
| | - K Y Shan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J F Shangguan
- Soochow University, Suzhou 215006, People's Republic of China
| | - L G Shao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Fudan University, Shanghai 200433, People's Republic of China
| | - H F Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W H Shen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B A Shi
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J L Shi
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Y Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Q Shi
- Soochow University, Suzhou 215006, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Song
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - T Z Song
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W M Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Jilin University, Changchun 130012, People's Republic of China
| | - Y J Song
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - S Spataro
- University of Turin and INFN, University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - F Stieler
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y J Su
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G B Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Sun
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H K Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - K Sun
- Tsinghua University, Beijing 100084, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Sun
- China University of Geosciences, Wuhan 430074, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Shandong University, Jinan 250100, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Y A Tang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - L Y Tao
- University of South China, Hengyang 421001, People's Republic of China
| | - Q T Tao
- Hunan University, Changsha 410082, People's Republic of China
| | - M Tat
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - J X Teng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W H Tian
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W H Tian
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - Y Tian
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z F Tian
- Wuhan University, Wuhan 430072, People's Republic of China
| | - I Uman
- Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - S J Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Bo Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - F Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - H J Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J P Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - T Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - T J Wang
- Nankai University, Tianjin 300071, People's Republic of China
| | - W Wang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X J Wang
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y D Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Wang
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - Y N Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Yaqian Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Hebei University, Baoding 071002, People's Republic of China
| | - Yi Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z L Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D Wei
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C W Wenzel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - U Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - C Wu
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200433, People's Republic of China
| | - X H Wu
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Wu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y J Wu
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X M Xian
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - T Xiang
- Peking University, Beijing 100871, People's Republic of China
| | - D Xiao
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - G Y Xiao
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y L Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Xie
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y Xie
- Shandong University, Jinan 250100, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - Z P Xie
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C J Xu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Y Xu
- University of Jinan, Jinan 250022, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - Q N Xu
- Inner Mongolia University, Hohhot 010021, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W L Xu
- University of Jinan, Jinan 250022, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y C Xu
- Yantai University, Yantai 264005, People's Republic of China
| | - Z P Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Z S Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - X Q Yan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H L Yang
- Jilin University, Changchun 130012, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Tao Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Yang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y F Yang
- Nankai University, Tianjin 300071, People's Republic of China
| | - Y X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z W Yang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Z P Yao
- Shandong University, Jinan 250100, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - X D Yu
- Peking University, Beijing 100871, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Yuan
- Beihang University, Beijing 100191, People's Republic of China
| | - S C Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Q Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Y Yuan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - F R Zeng
- Shandong University, Jinan 250100, People's Republic of China
| | - X Zeng
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - Y J Zeng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Zhai
- Jilin University, Changchun 130012, People's Republic of China
| | - Y C Zhai
- Shandong University, Jinan 250100, People's Republic of China
| | - Y H Zhan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - A Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B L Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D H Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Y Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H H Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - J J Zhang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - J L Zhang
- Henan University, Kaifeng 475004, People's Republic of China
| | - J Q Zhang
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J X Zhang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L M Zhang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - L Q Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - P Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Y Zhang
- Liaoning Normal University, Dalian 116029, People's Republic of China
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Shuihan Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Shulei Zhang
- Hunan University, Changsha 410082, People's Republic of China
| | - X D Zhang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - X M Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - Xuyan Zhang
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Zhang
- University of South China, Hengyang 421001, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y T Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z L Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Z Y Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W J Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X Zhong
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Zhou
- Shandong University, Jinan 250100, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Y Zhou
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Y Z Zhou
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Zhu
- Jilin University, Changchun 130012, People's Republic of China
| | - L X Zhu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - S Q Zhu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
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Dong Y, Li G, Zhang X, Feng Z, Li T, Li Z, Xu S, Xu S, Liu W, Xue J. Genome-Wide Association Study for Maize Hybrid Performance in a Typical Breeder Population. Int J Mol Sci 2024; 25:1190. [PMID: 38256265 PMCID: PMC10816832 DOI: 10.3390/ijms25021190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/14/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
Maize is one of the major crops that has demonstrated success in the utilization of heterosis. Developing high-yield hybrids is a crucial part of plant breeding to secure global food demand. In this study, we conducted a genome-wide association study (GWAS) for 10 agronomic traits using a typical breeder population comprised 442 single-cross hybrids by evaluating additive, dominance, and epistatic effects. A total of 49 significant single nucleotide polymorphisms (SNPs) and 69 significant pairs of epistasis were identified, explaining 26.2% to 64.3% of the phenotypic variation across the 10 traits. The enrichment of favorable genotypes is significantly correlated to the corresponding phenotype. In the confident region of the associated site, 532 protein-coding genes were discovered. Among these genes, the Zm00001d044211 candidate gene was found to negatively regulate starch synthesis and potentially impact yield. This typical breeding population provided a valuable resource for dissecting the genetic architecture of yield-related traits. We proposed a novel mating strategy to increase the GWAS efficiency without utilizing more resources. Finally, we analyzed the enrichment of favorable alleles in the Shaan A and Shaan B groups, as well as in each inbred line. Our breeding practice led to consistent results. Not only does this study demonstrate the feasibility of GWAS in F1 hybrid populations, it also provides a valuable basis for further molecular biology and breeding research.
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Affiliation(s)
- Yuan Dong
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
| | - Guoliang Li
- National Maize Improvement Center of China, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing 100193, China
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
| | - Xinghua Zhang
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
| | - Zhiqian Feng
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
| | - Ting Li
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
| | - Zhoushuai Li
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
| | - Shizhong Xu
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
| | - Shutu Xu
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
| | - Wenxin Liu
- National Maize Improvement Center of China, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing 100193, China
| | - Jiquan Xue
- Key Laboratory of Biology and Genetic Breeding of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling 712100, China
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Qiu SY, Yin XN, Yang Y, Li T, Lu D, Li JM, Yang WK, Wen GM, Zhang JY, Zhang Y, Lei HY, Wang X, Wu JB. Relationship between bedtime, nighttime sleep duration, and anxiety symptoms in preschoolers in China. Front Psychol 2024; 15:1290310. [PMID: 38298521 PMCID: PMC10827991 DOI: 10.3389/fpsyg.2024.1290310] [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: 09/08/2023] [Accepted: 01/08/2024] [Indexed: 02/02/2024] Open
Abstract
Background Sleep problems in preschoolers are becoming increasingly prominent, and the association between sleep status and anxiety symptoms has attracted growing attention. However, studies investigating the relationship between bedtime and nighttime sleep duration in preschoolers and their anxiety symptoms remain scant. We used the large sample data from the Longhua Cohort Study of Children in Shenzhen, China (LCCS) to analyze the association between bedtime and sleep in preschoolers and their anxiety symptoms. Methods A cross-sectional study of 69,138 preschoolers in Longhua District, Shenzhen, China was conducted in 2022. Data on sociodemographic characteristics of families, bedtime, nighttime sleep duration of preschoolers, and their anxiety symptoms (measured by the Spence Preschool Children Anxiety Scale) were collected through a structured questionnaire completed by the parents. Using binary logistic regression models, the relationship between bedtime, nighttime sleep duration, and childhood anxiety symptoms was examined. Results The bedtimes of preschoolers were concentrated between 21:01-22:00 (52.41%). Among the preschoolers, 38.70% had bedtimes later than 22:00, and 75.49% had insufficient nighttime sleep duration. The positive screening rate for anxiety symptoms among preschoolers was 3.50%. After adjusting for confounding factors using binary logistic regression models, compared with preschoolers with bedtime ≤21:00, The OR (95%CI) values of anxiety in preschoolers with bedtime ≥23:01, 22:01-23:00 and 21:01-22:00 were 2.86 (2.21-3.69), 1.51 (1.27-1.79) and 1.48 (1.26-1.76), respectively. Compared with those with sufficient nighttime sleep duration, the OR (95%CI) of children with nighttime sleep duration less than 9 h was 1.36 (1.23-1.51). Conclusion An association exists between bedtime and nighttime sleep duration in preschoolers and their anxiety symptoms. Preschoolers with 21:00 for bedtime and a nighttime sleep duration of 10 h may have lower anxiety symptoms. These findings support the importance of adequate sleep for preventing anxiety symptoms in children.
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Affiliation(s)
- Shuang-Yan Qiu
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Xiao-Na Yin
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Yanni Yang
- Xinhe Experimental School, Shenzhen, China
| | - Ting Li
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Dali Lu
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Jie-Min Li
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Wei-Kang Yang
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Guo-Ming Wen
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Jing-Yu Zhang
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Yan Zhang
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Hai-Yan Lei
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Xin Wang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Jian-Bo Wu
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
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244
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Ye Y, Yang Q, Wei J, Shen C, Wang H, Zhuang R, Cao Y, Ding Y, Xu H, Xiang S, Mei H, Li Z, Ren X, Zhang C, Xiao J, Zheng S, Li T, Zeng R, Liu H, Lin H, Shang-Guan W, Li M, Jin S, Wang Q. RvD1 improves resident alveolar macrophage self-renewal via the ALX/MAPK14/S100A8/A9 pathway in acute respiratory distress syndrome. J Adv Res 2024:S2090-1232(24)00030-4. [PMID: 38237770 DOI: 10.1016/j.jare.2024.01.017] [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: 10/21/2023] [Revised: 12/23/2023] [Accepted: 01/12/2024] [Indexed: 02/24/2024] Open
Abstract
INTRODUCTION Acute respiratory distress syndrome (ARDS) is a pulmonary inflammatory process primarily caused by sepsis. The resolution of inflammation is an active process involving the endogenous biosynthesis of specialized pro-resolving mediators, including resolvin D1 (RvD1). Resident alveolar macrophages (RAMs) maintain pulmonary homeostasis and play a key role in the resolution phase. However, the role of RAMs in promoting the resolution of inflammation by RvD1 is unclear. OBJECTIVES Here, we investigated the mechanisms of RvD1 on regulating RAMs to promote the resolution of ARDS. METHODS Mice were administered lipopolysaccharide and/or Escherichia coli via aerosol inhalation to establish a self-limited ARDS model. Then, RvD1 was administered at the peak inflammatory response. RAMs self-renewal was measured by flow cytometry, RAM phagocytosis was measured by two-photon fluorescence imaging. In addition, plasma was collected from intensive care unit patients on days 0-2, 3-5, and 6-9 to measure RvD1 and S100A8/A9 levels using triple quadrupole/linear ion trap mass spectrometry. RESULTS RAMs were found to play a pivotal role in resolving inflammation during ARDS, and RvD1 enhanced RAM proliferation and phagocytosis, which was abrogated by a lipoxin A4 receptor (ALX, RvD1 receptor) inhibitor. Both primary RAMs transfected with rS100A8/A9 and/or S100A8/A9 siRNA and S100A9-/- mice (also deficient in S100A8 function) showed higher turnover and phagocytic function, indicating that RvD1 exerted its effects on RAMs by inhibiting S100A8/A9 production in the resolution phase. RvD1 reduced S100A8/A9 and its upstream MAPK14 levels in vivo and in vitro. Finally, in the patients, RvD1 levels were lower, but S100A8/A9 levels were higher. CONCLUSIONS We propose that RvD1 improved RAM self-renewal and phagocytosis via the ALX/MAPK14/S100A8/A9 signaling pathway. Plasma RvD1 and S100A8/A9 levels were negatively correlated, and associated with the outcome of sepsis-induced ARDS.
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Affiliation(s)
- Yang Ye
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Qian Yang
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Jinling Wei
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Chenxi Shen
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Haixing Wang
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Rong Zhuang
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Yuan Cao
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Yajun Ding
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Haoran Xu
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Shuyang Xiang
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Hongxia Mei
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Zhongwang Li
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Xiya Ren
- Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Chen Zhang
- Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Ji Xiao
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Shengxing Zheng
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Ting Li
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Ruifeng Zeng
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Huacheng Liu
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Han Lin
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Wangning Shang-Guan
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China
| | - Ming Li
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China
| | - Shengwei Jin
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China.
| | - Qian Wang
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, People's Republic of China; Key Laboratory of Anesthesiology of Zhejiang Province, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, People's Republic of China.
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Chen XQ, Lian K, Chen ZW, Zhang X, Li T, Wu T, Shen T, Cai XY, Cheng XS, Xiao FH, Li YF. Multi-Omics Characteristics of Ferroptosis Associated with Colon Adenocarcinoma Typing and Survival. FRONT BIOSCI-LANDMRK 2024; 29:13. [PMID: 38287836 DOI: 10.31083/j.fbl2901013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/26/2023] [Accepted: 12/21/2023] [Indexed: 01/31/2024]
Abstract
BACKGROUND Ferroptosis, an iron-dependent form of cell death, plays a crucial role in the progression of various cancers, including colon adenocarcinoma (COAD). However, the multi-omics signatures relevant to ferroptosis regulation in COAD diagnosis remain to be elucidated. METHODS The transcriptomic, miRNAomic, and methylomic profiles of COAD patients were acquired from the Cancer Genome Atlas (TCGA). Ferroptosis activity in these patients was determined, represented by a ferroptosis score (FS), using single-sample gene set enrichment analysis (ssGSEA) based on the expression of ferroptosis-related genes. RESULTS Results showed that the COAD patients with high-FS displayed favorable survival outcomes and heightened drug sensitivity. They also exhibited an up-regulation of genes involved in immune-related pathways (e.g., tumor necrosis factor signaling pathway), suggesting a correlation between immunity and ferroptosis in COAD progression. Furthermore, three survival prediction models were established based on 10 CpGs, 12 long non-coding RNAs (lncRNAs), and 14 microRNAs (miRNAs), respectively. These models demonstrated high accuracy in predicting COAD survival, achieving areas under the curve (AUC) >0.7. The variables used in the three models also showed strong correlations at different omics levels and were effective at discriminating between high-FS and low-FS COAD patients (AUC >0.7). CONCLUSIONS This study identified different DNA methylation (DNAm), lncRNA, and miRNA characteristics between COAD patients with high and low ferroptosis activity. Furthermore, ferroptosis-related multi-omics signatures were established for COAD prognosis and classification. These insights present new opportunities for improving the efficacy of COAD therapy.
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Affiliation(s)
- Xiao-Qiong Chen
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Ke Lian
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Zi-Wei Chen
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Xuan Zhang
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Ting Li
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Tao Wu
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Tao Shen
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Xin-Yi Cai
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Xian-Shuo Cheng
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
| | - Fu-Hui Xiao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650000 Kunming, Yunnan, China
| | - Yun-Feng Li
- Colorectal Surgery, Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, 650000 Kunming, Yunnan, China
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246
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Li T, Yin Y, Zhang K, Li Y, Kong X, Liu D, Luo Y, Zhang R, Zhang Z. Ecotoxicity effect of aspirin on the larvae of Musca domestica through retinol metabolism. Ecotoxicol Environ Saf 2024; 270:115845. [PMID: 38134638 DOI: 10.1016/j.ecoenv.2023.115845] [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: 08/21/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023]
Abstract
Aspirin is a widely used multi-efficiency pharmaceutical, and its environmental residues are frequently detected. However, limited information is available on its effects on the development of the public health pest and saprophytic insect Musca domestica. In this study, it was demonstrated that aspirin inhibits the larval growth of house flies in a concentration-dependent manner. Microbiome analysis indicated that the composition of larval intestinal bacteria was influenced by aspirin but not greatly. The dominant bacterial genus in the aspirin group was still Klebsiella, as in the control group. Transcriptome sequencing and gene set enrichment analysis showed that retinol metabolism was activated after aspirin treatment. High performance liquid chromatography indicated that the content of retinol in larvae was decreased and that of retinoic acid was increased. The addition of β-carotene, a precursor substance of retinol, in feeding promotes larval development and alleviates the inhibitory effect caused by aspirin. In contrast, retinoic acid delayed the larval development of house flies as well as aspirin. Gene expression analysis after aspirin exposure demonstrated that genes involved in the transformation from retinol to retinoic acid were upregulated. Overall, aspirin exposure impairs larval development by activating retinol metabolism in house flies and can be utilized as an effective pesticide. This work uncovers the mechanism underlying the larval development inhibition induced by aspirin in terms of metabolism and genetics, and provides novel functional exploration of a traditional drug for pest management.
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Affiliation(s)
- Ting Li
- School of Life Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China
| | - Yansong Yin
- School of Basic Medical Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China
| | - Kexin Zhang
- Hospital for Skin Diseases, Shandong First Medical University, China; Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, China
| | - Ying Li
- School of Basic Medical Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China
| | - Xinxin Kong
- School of Basic Medical Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China
| | - Dan Liu
- School of Life Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China
| | - Yu Luo
- School of Life Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China
| | - Ruiling Zhang
- School of Basic Medical Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China.
| | - Zhong Zhang
- School of Life Science, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, Shandong, China; Weifang Medical University, Weifang 261021, Shandong, China.
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Wang W, Yuan Z, Li T, Wang Y, Zhang K, Wu J, Zhang S, Yuan F, Dong W. Rapid Preparation of Highly Stretchable and Fast Self-Repairing Antibacterial Hydrogels for Promoting Hemostasis and Wound Healing. ACS Appl Bio Mater 2024; 7:394-405. [PMID: 38150008 DOI: 10.1021/acsabm.3c00969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Hydrogel dressings have emerged as a vital resource in wound management, offering several advantages over conventional wound dressing materials. Their inherent biocompatibility, ability to replicate the native extracellular matrix, and capacity to provide an ideal environment for cell survival make them particularly valuable. Nevertheless, the mechanical properties of many hydrogel dressings are an area that warrants improvement, as it currently constrains their application range. This limitation is especially evident when skin wounds are addressed in highly active or easily scratched areas. In this study, we present the development of a highly stretchable self-repairing hydrogel by cross-linking poly(vinyl alcohol) (PVA) through dynamic boron ester bonds, coupled with the hydrogen bonding of carboxymethyl cellulose sodium (CMC) via an efficient one-pot method without adding any catalyst. This innovative PVA/CMC hydrogel exhibited remarkable antibacterial properties achieved through the incorporation of bergamot oil, which was dispersed in a β-cyclodextrin solution. The hydrogel's elongation at the point of rupture reached an impressive 1910%, and it was capable of rapid self-healing in just 3 min upon bonding. Additionally, the hydrogel demonstrated excellent hemostatic properties, effectively mitigating blood loss and exudation. In vivo wound models have shown that PVA/CMC significantly expedites wound healing by reducing bacterial infections, inflammatory responses, and blood loss and by promoting collagen deposition. In summary, this research provides crucial insights into its potential as an advanced wound dressing material, particularly well-suited for addressing wounds in places with frequent activities or easy scratches.
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Affiliation(s)
- Wei Wang
- The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Zhengdong Yuan
- Institute of Integrated Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Ting Li
- The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yang Wang
- The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Kaiwen Zhang
- Institute of Integrated Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Junjie Wu
- Institute of Integrated Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Shiru Zhang
- The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Fenglai Yuan
- Institute of Integrated Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Weifu Dong
- The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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Zhang Y, Li D, Gao H, Zhao H, Zhang S, Li T. Rapamycin Alleviates Neuronal Injury and Modulates Microglial Activation After Cerebral Ischemia. Mol Neurobiol 2024:10.1007/s12035-023-03904-9. [PMID: 38224443 DOI: 10.1007/s12035-023-03904-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/21/2023] [Indexed: 01/16/2024]
Abstract
Neurons and microglia are sensitive to cerebral microcirculation and their responses play a crucial part in the pathological processes, while they are also the main target cells of many drugs used to treat brain diseases. Rapamycin exhibits beneficial effects in many diseases; however, whether it can affect neuronal injury or alter the microglial activation after global cerebral ischemia remains unclear. In this study, we performed global cerebral ischemia combined with rapamycin treatment in CX3CR1GFP/+ mice and explored the effects of rapamycin on neuronal deficit and microglial activation. Our results showed that rapamycin reduced neuronal loss, neurodegeneration, and ultrastructural damage after ischemia by histological staining and transmission electron microscopy (TEM). Interestingly, rapamycin suppressed de-ramification and proliferation of microglia and reduced the density of microglia. Immunofluorescence staining indicated that rapamycin skewed microglial polarization toward an anti-inflammatory state. Furthermore, rapamycin as well suppressed the activation of astrocytes. Meanwhile, quantitative real-time polymerase chain reaction (qRT-PCR) analyses revealed a significant reduction of pro-inflammatory factors as well as an elevation of anti-inflammatory factors upon rapamycin treatment. As a result of these effects, behavioral tests showed that rapamycin significantly alleviated the brain injury after stroke. Together, our study suggested that rapamycin attenuated neuronal injury, altered microglial activation state, and provided a more beneficial immune microenvironment for the brain, which could be used as a promising therapeutic approach to treat ischemic cerebrovascular diseases.
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Affiliation(s)
- Yue Zhang
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, Gansu, 730000, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Donghai Li
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, Gansu, 730000, China
| | - Hao Gao
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, Gansu, 730000, China
| | - Haiyu Zhao
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, Gansu, 730000, China
| | - Shengxiang Zhang
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, Gansu, 730000, China.
| | - Ting Li
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, Gansu, 730000, China.
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249
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Zhang T, Sun S, Wang R, Li T, Gan B, Zhang Y. BioisoIdentifier: an online free tool to investigate local structural replacements from PDB. J Cheminform 2024; 16:7. [PMID: 38218937 PMCID: PMC10788035 DOI: 10.1186/s13321-024-00801-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/07/2024] [Indexed: 01/15/2024] Open
Abstract
Within the realm of contemporary medicinal chemistry, bioisosteres are empirically used to enhance potency and selectivity, improve adsorption, distribution, metabolism, excretion and toxicity profiles of drug candidates. It is believed that bioisosteric know-how may help bypass granted patents or generate novel intellectual property for commercialization. Beside the synthetic expertise, the drug discovery process also depends on efficient in silico tools. We hereby present BioisoIdentifier (BII), a web server aiming to uncover bioisosteric information for specific fragment. Using the Protein Data Bank as source, and specific substructures that the user attempt to surrogate as input, BII tries to find suitable fragments that fit well within the local protein active site. BII is a powerful computational tool that offers the ligand design ideas for bioisosteric replacing. For the validation of BII, catechol is conceived as model fragment attempted to be replaced, and many ideas are successfully offered. These outputs are hierarchically grouped according to structural similarity, and clustered based on unsupervised machine learning algorithms. In summary, we constructed a user-friendly interface to enable the viewing of top-ranking molecules for further experimental exploration. This makes BII a highly valuable tool for drug discovery. The BII web server is freely available to researchers and can be accessed at http://www.aifordrugs.cn/index/ . Scientific Contribution: By designing a more optimal computational process for mining bioisosteric replacements from the publicly accessible PDB database, then deployed on a web server for throughly free access for researchers. Additionally, machine learning methods are applied to cluster the bioisosteric replacements searched by the platform, making a scientific contribution to facilitate chemists' selection of appropriate bioisosteric replacements. The number of bioisosteric replacements obtained using BII is significantly larger than the currently available platforms, which expanding the search space for effective local structural replacements.
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Affiliation(s)
- Tinghao Zhang
- Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering (IBME), Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, China
| | - Shaohua Sun
- Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering (IBME), Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, China
| | - Runzhou Wang
- School of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Ting Li
- Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering (IBME), Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, China
| | - Bicheng Gan
- College of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, China
| | - Yuezhou Zhang
- Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering (IBME), Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, China.
- Ningbo Institute of Northwestern Polytechnical University, Frontiers Science Center for Flexible Electronics (FSCFE), Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, 218 Qingyi Road, Ningbo, 315103, China.
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250
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Li T, Tian J, Wu M, Tian Y, Li Z. Electroacupuncture stimulation improves cognitive ability and regulates metabolic disorders in Alzheimer's disease model mice: new insights from brown adipose tissue thermogenesis. Front Endocrinol (Lausanne) 2024; 14:1330565. [PMID: 38283741 PMCID: PMC10811084 DOI: 10.3389/fendo.2023.1330565] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/26/2023] [Indexed: 01/30/2024] Open
Abstract
Background Metabolic defects play a crucial role in Alzheimer's disease (AD) development. Brown adipose tissue (BAT) has been identified as a novel potential therapeutic target for AD due to its unique role in energy metabolism. Electroacupuncture (EA) shows promise in improving cognitive ability and brain glucose metabolism in AD, but its effects on peripheral and central metabolism are unclear. Methods In this study, SAMP8 mice (AD model) received EA stimulation at specific acupoints. Cognitive abilities were evaluated using the Morris water maze test, while neuronal morphology and tau pathology were assessed through Nissl staining and immunofluorescence staining, respectively. Metabolic variations and BAT thermogenesis were measured using ELISA, HE staining, Western blotting, and infrared thermal imaging. Results Compared to SAMR1 mice, SAMP8 mice showed impaired cognitive ability, neuronal damage, disrupted thermoregulation, and metabolic disorders with low BAT activity. Both the EA and DD groups improved cognitive ability and decreased tau phosphorylation (p<0.01 or p<0.05). However, only the EA group had a significant effect on metabolic disorders and BAT thermogenesis (p<0.01 or p<0.05), while the DD group did not. Conclusion These findings indicate that EA not only improves the cognitive ability of SAMP8 mice, but also effectively regulates peripheral and central metabolic disorders, with this effect being significantly related to the activation of BAT thermogenesis.
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Affiliation(s)
- Ting Li
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Junjian Tian
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Meng Wu
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Yuanshuo Tian
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Zhigang Li
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
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