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Gong B, Qu T, Zhang J, Jia Y, Song Z, Chen C, Yang J, Wang C, Liu Y, Jin Y, Cao W, Zhao Q. Downregulation of ABLIM3 confers to the metastasis of neuroblastoma via regulating the cell adhesion molecules pathway. Comput Struct Biotechnol J 2024; 23:1547-1561. [PMID: 38645433 PMCID: PMC11031727 DOI: 10.1016/j.csbj.2024.04.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/30/2024] [Accepted: 04/07/2024] [Indexed: 04/23/2024] Open
Abstract
Neuroblastoma (NB) is the most prevalent extracranial solid tumor in pediatric patients, and its treatment failure often associated with metastasis. In this study, LASSO, SVM-RFE, and random forest tree algorithms, was used to identify the pivotal gene involved in NB metastasis. NB cell lines (SK-N-AS and SK-N-BE2), in conjunction with NB tissue were used for further study. ABLIM3 was identified as the hub gene and can be an independent prognostic factor for patients with NB. The immunohistochemical analysis revealed that ABLIM3 is negatively correlated with the metastasis of NB. Patients with low expression of ABLIM3 had a poor prognosis. High ABLIM3 expression correlated with APC co-stimulation and Type1 IFN response, and TIDE analysis indicated that patients with low ABLIM3 expression exhibited enhanced responses to immunotherapy. Downregulation of ABLIM3 by shRNA transfection increased the migration and invasion ability of NB cells. Gene Set Enrichment Analysis (GSEA) revealed that genes associated with ABLIM3 were primarily enriched in the cell adhesion molecules (CAMs) pathway. RT-qPCR and western blot analyses demonstrated that downregulation of ABLIM3 led to decreased expression of ITGA3, ITGA8, and KRT19, the key components of CAMs. This study indicated that ABLIM3 can be an independent prognostic factor for NB patients, and CAMs may mediate the effect of ABLIM3 on the metastasis of NB, suggesting that ABLIM3 is a potential therapeutic target for NB metastasis, which provides a novel strategy for future research and treatment strategies for NB patients.
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Affiliation(s)
- Baocheng Gong
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Tongyuan Qu
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Jiaojiao Zhang
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yubin Jia
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Zian Song
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Chong Chen
- Department of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jiaxing Yang
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Chaoyu Wang
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yun Liu
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yan Jin
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Wenfeng Cao
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Qiang Zhao
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
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Liu Y, Liu S, Sum R, Duncan M, Gu Y, Li M. Associations between levels of physical literacy and adherence to the 24-h movement guidelines among university students: A cross-sectional study. J Exerc Sci Fit 2024; 22:221-226. [PMID: 38559907 PMCID: PMC10979097 DOI: 10.1016/j.jesf.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 03/10/2024] [Accepted: 03/16/2024] [Indexed: 04/04/2024] Open
Abstract
Objectives Emerging evidence indicates that the composition of movement behaviours within a 24-h period is associated with multiple health benefits across the lifespan. A concept that emphasises an individual's active lifestyle is physical literacy (PL), yet empirical research exploring the potential associations between PL and 24-h movement guidelines remains scarce. This study aimed to evaluate the associations between levels of PL and adherence to the guidelines among Chinese university students. Study design A cross-sectional study. Methods Seven hundred and ninety-eight university students (390 male, 19.2 ± 1.2 years) completed all the measurements. Levels of PL and participants' adherence to guidelines including physical activity, sedentary behaviour and sleep were self-reported through Perceived Physical Literacy Instrument, International Physical Activity Questionnaire and Pittsburgh Sleep Quality Index, respectively. Two-way ANOVA was conducted to determine the associations between the number of guidelines met (0, 1, 2, or 3) and levels of PL. Results The results demonstrate that 36.5% (n = 291) of the participants met all the three guidelines, while 4.1% (n = 33) met none. Further analysis indicated that meeting physical activity or sedentary behaviour guidelines was associated with significantly higher total PL scores, and scores in the sub-domains of Confidence and Physical Competence and Motivation. Conclusions The findings provide evidence that young adults who obtained higher PL scores may meet more guidelines during a 24-h period. Future studies should incorporate accelerometer-based physical activity measurements and investigate the causal relationship between PL and adherence to the movement guidelines.
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Affiliation(s)
- Y. Liu
- Public Health and Sport Sciences, University of Exeter, Exeter, UK
| | - S.X. Liu
- School of Physical Education, Chongqing University, Chongqing, China
| | - R.K.W. Sum
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - M.J. Duncan
- Centre for Physical Activity, Sport and Exercise Sciences, Coventry University, Coventry, UK
| | - Y.D. Gu
- Faculty of Sports Science, Ningbo University, Ningbo, China
| | - M.H. Li
- Faculty of Sports Science, Ningbo University, Ningbo, China
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Zhang J, Liu ZH, Wu JL, Ding YT, Ma QG, Hayat W, Liu Y, Wang PJ, Dang Z, Rittmann B. Deconjugation potentials of natural estrogen conjugates in sewage and wastewater treatment plant: New insights from model prediction and on-site investigations. Sci Total Environ 2024; 926:172071. [PMID: 38554960 DOI: 10.1016/j.scitotenv.2024.172071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/02/2024]
Abstract
Natural estrogen conjugates play important roles in municipal wastewater treatment plant (WWTP), but their deconjugation potentials are poorly understood. This work is the first to investigate the relationships between the enzyme activities of arylsulfatase/β-glucuronidase and deconjugation potentials of natural estrogen conjugates. This work led to three important findings. First, the enzyme activity of β-glucuronidase in sewage is far higher than that of arylsulfatase, while their corresponding activities in activated sludge were similar. Second, a model based on β-glucuronidase could successfully predict the deconjugation potentials of natural estrogen glucuronide conjugates in sewage. Third, the enzyme activity of arylsulfatase in sewage was too low to lead to evident deconjugation of sulfate conjugates, which means that the deconjugation rate of estrogen sulfates can be regarded as zero. By comparing their theoretical removal based on enzyme activity and on-site investigation, it is reasonable to conclude that reverse deconjugation of estrogen conjugates (i.e., conjugation of natural estrogens to form conjugated estrogens) likely exist in WWTP, which explains well why natural estrogen conjugates cannot be effectively removed in WWTP. Meanwhile, this work provides new insights how to improve the removal performance of WWTP on natural estrogen conjugates. SYNOPSIS: This work is the first to show how arylsulfatase/β-glucuronidase could affect deconjugation of natural estrogen conjugates and possible way to enhance their removal in wastewater treatment plant.
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Affiliation(s)
- Jun Zhang
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Ze-Hua Liu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China; Key Lab Pollution Control & Ecosystem Restoration in Industry Cluster, Ministry of Education, Guangzhou 510006, Guangdong, China; Guangdong Provincial Key Labora tory of Solid Wastes Pollution Control and Recycling, Guangzhou 510006, Guangdong, China.
| | - Jia-le Wu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Yu-Ting Ding
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Qing-Guang Ma
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Waseem Hayat
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Yun Liu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou 510655, China
| | - Peng-Jie Wang
- Shijing Water Purification Branch, Guangzhou Water Purification Co. LTD, China
| | - Zhi Dang
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Bruce Rittmann
- Swette Center for Environmental Biotechnology, Biodesign Institute at Arizona State University, Tempe 85287-5701, AZ, United States
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Li F, Li M, Liu Y, Li F, Tian J. Citric acid-induced photochemical behavior of Cr(III)-substituted ferrihydrite: Fe and Cr release, mineral transformation and reactive oxygen species generation. Sci Total Environ 2024; 926:171778. [PMID: 38513872 DOI: 10.1016/j.scitotenv.2024.171778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/20/2024] [Accepted: 03/15/2024] [Indexed: 03/23/2024]
Abstract
Cr(III)-substituted ferrihydrite (Fh-Cr(III)) is widespread in the surrounding environment of mining areas. Fh-Cr(III) is unstable and susceptible to the influence of environmental factors, such as dissolved organic matter (DOM) and light, so Cr species embedded in mineral crystal layers are likely to have more profound negative effects on the environment with the photochemical behaviors of minerals. However, the photochemical behaviors of Fh-Cr(III) in the presence of DOM remains poorly understood. For this reason, citric acid (CA) was chosen as the representative DOM to study its combined effects with visible light irradiation on Fh-Cr(III) dissolution and phase transition. The results showed that CA hindered the agglomeration of Fh-Cr(III) particles, thereby slowing the phase transition of Fh-Cr(III). However, CA exacerbated the release of Fe and Cr by maintaining Fh-Cr(III) under unstable crystal structure. Moreover, due to the occurrence of ligand-metal charge transfer (LMCT) in (CA)n-Fh-Cr(III) formed on the Fh-Cr(III) surface, the synergistic effect between CA and light irradiation greatly promoted the dissolution of Fh-Cr(III). In the mixed system of Fh-Cr(III) (3 g/L) and CA (5 mM) at initial pH 3.0, the maximum concentrations of TFe and TCr were 18.17 and 5.68 mg/L after 6 h of light reaction, which were 1.82 and 3.62 times of those in the corresponding system in the darkness. Meanwhile, the Fe(III)/Fe(II) cycling in solution and solid surfaces was affected by various reactive oxygen species (ROS) generated from the LMCT process, in which the photoproduced Fe(II) further accelerated Cr(III) dissolution under acidic solution. The fast release of Cr(III) may pose greater danger to the environment as the more toxic Cr(VI) can be easily formed through the oxidation of dissolved Cr(III). This work offers fresh insights into the migration and transformation of Cr elements in the natural environment.
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Affiliation(s)
- Fan Li
- Department of Environmental Science Engineering, College of Environment and Resources, Xiangtan University, Xiangtan 411105, China
| | - Mengke Li
- Department of Environmental Science Engineering, College of Environment and Resources, Xiangtan University, Xiangtan 411105, China
| | - Yun Liu
- Department of Environmental Science Engineering, College of Environment and Resources, Xiangtan University, Xiangtan 411105, China.
| | - Feng Li
- Department of Environmental Science Engineering, College of Environment and Resources, Xiangtan University, Xiangtan 411105, China
| | - Jiang Tian
- Department of Environmental Science Engineering, College of Environment and Resources, Xiangtan University, Xiangtan 411105, China
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Yue J, Li T, Tian J, Ge F, Li F, Liu Y, Zhang D, Li J. Penicillium oxalicum induced phosphate precipitation enhanced cadmium (Cd) immobilization by simultaneously accelerating Cd biosorption and biomineralization. J Hazard Mater 2024; 470:134306. [PMID: 38626684 DOI: 10.1016/j.jhazmat.2024.134306] [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: 01/10/2024] [Revised: 03/21/2024] [Accepted: 04/11/2024] [Indexed: 04/18/2024]
Abstract
Soil cadmium (Cd) is immobilized by the progressing biomineralization process as microbial induced phosphate precipitation (MIPP), which is regulated by phosphate (P) solubilizing microorganisms and P sources. However, little attention has been paid to the implications of Cd biosorption during MIPP. In this study, the newly isolated Penicillium oxalicum could immobilize 5.4-12.6 % of Cd2+, while the presence of hydroxyapatite (HAP) considerably enhanced Cd2+ immobilization in P. oxalicum and reached over 99 % Cd2+ immobilization efficiency within 7 days. Compared to P. oxalicum mono inoculation, MIPP dramatically boosted Cd biosorption and biomineralization efficiency by 71 % and 16 % after 96 h cultivation, respectively. P. oxalicum preferred to absorbing Cd2+ and reaching maximum Cd2+ biosorption efficiency of 87.8 % in the presence of HAP. More surface groups in P. oxalicum and HAP mineral involved adsorption which resulted in the formation of Cd-apatite [Ca8Cd2(PO4)6(OH)2] via ion exchange. Intracellular S2-, secreted organic acids and soluble P via HAP solubilization complexed with Cd2+, progressively mineralized into Cd5(PO4)3OH, Cd(H2PO4)2, C4H6CdO4 and CdS. These results suggested that Cd2+ immobilization was enhanced simultaneously by the accelerated biosorption and biomineralization during P. oxalicum induced P precipitation. Our findings revealed new mechanisms of Cd immobilization in MIPP process and offered clues for remediation practices at metal contaminated sites.
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Affiliation(s)
- Jiaru Yue
- Department of Environmental Science and Engineering, College of Environment and Resources, Xiangtan University, Xiangtan, China; Hunan Provincial University Key Laboratory for Environmental and Ecological Health, Xiangtan University, Xiangtan, China
| | - Ting Li
- Department of Environmental Science and Engineering, College of Environment and Resources, Xiangtan University, Xiangtan, China; Hunan Provincial University Key Laboratory for Environmental and Ecological Health, Xiangtan University, Xiangtan, China
| | - Jiang Tian
- Department of Environmental Science and Engineering, College of Environment and Resources, Xiangtan University, Xiangtan, China; Hunan Provincial University Key Laboratory for Environmental and Ecological Health, Xiangtan University, Xiangtan, China.
| | - Fei Ge
- Department of Environmental Science and Engineering, College of Environment and Resources, Xiangtan University, Xiangtan, China; Hunan Provincial University Key Laboratory for Environmental and Ecological Health, Xiangtan University, Xiangtan, China
| | - Feng Li
- Department of Environmental Science and Engineering, College of Environment and Resources, Xiangtan University, Xiangtan, China; Hunan Provincial University Key Laboratory for Environmental and Ecological Health, Xiangtan University, Xiangtan, China
| | - Yun Liu
- Department of Environmental Science and Engineering, College of Environment and Resources, Xiangtan University, Xiangtan, China; Hunan Provincial University Key Laboratory for Environmental and Ecological Health, Xiangtan University, Xiangtan, China
| | - Dayi Zhang
- College of New Energy and Environment, Jilin University, Changchun 130021, China; Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun 130021, China
| | - Jingwei Li
- Vegetable Industry Research Institute, Guizhou University, Guiyang 550000, Guizhou, China.
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Zhong T, Wu H, Hu J, Liu Y, Zheng Y, Li N, Sun Z, Yin XF, He QY, Sun X. Two synonymous single-nucleotide polymorphisms promoting fluoroquinolone resistance of Escherichia coli in the environment. J Hazard Mater 2024; 469:133849. [PMID: 38432089 DOI: 10.1016/j.jhazmat.2024.133849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/05/2024] [Accepted: 02/19/2024] [Indexed: 03/05/2024]
Abstract
Single-nucleotide polymorphism (SNP) is one of the core mechanisms that respond to antibiotic resistance of Escherichia coli (E. coli), which is a major issue in environmental pollution. A specific type of SNPs, synonymous SNPs, have been generally considered as the "silent" SNPs since they do not change the encoded amino acid. However, the impact of synonymous SNPs on mRNA splicing, nucleo-cytoplasmic export, stability, and translation was gradually discovered in the last decades. Figuring out the mechanism of synonymous SNPs in regulating antibiotic resistance is critical to improve antimicrobial therapy strategies in clinics and biological treatment strategies of antibiotic-resistant E. coli-polluted materials. With our newly designed antibiotic resistant SNPs prediction algorithm, Multilocus Sequence Type based Identification for Phenotype-single nucleotide polymorphism Analysis (MIPHA), and in vivo validation, we identified 2 important synonymous SNPs 522 G>A and 972 C>T, located at hisD gene, which was previously predicted as a fluoroquinolone resistance-related gene without a detailed mechanism in the E. coli samples with environmental backgrounds. We first discovered that hisD causes gyrA mutation via the upregulation of sbmC and its downstream gene umuD. Moreover, those 2 synonymous SNPs of hisD cause its own translational slowdown and further reduce the expression levels of sbmC and its downstream gene umuD, making the fluoroquinolone resistance determining region of gyrA remains unmutated, ultimately causing the bacteria to lose their ability to resist drugs. This study provided valuable insight into the role of synonymous SNPs in mediating antibiotic resistance of bacteria and a new perspective for the treatment of environmental pollution caused by drug-resistant bacteria.
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Affiliation(s)
- Tairan Zhong
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Haiming Wu
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Jiehua Hu
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Yun Liu
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Yundan Zheng
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Nan Li
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Zhenghua Sun
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Xing-Feng Yin
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Qing-Yu He
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China.
| | - Xuesong Sun
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China.
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7
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Wang M, Hu S, Yang J, Yuan L, Han L, Liang F, Zhang F, Zhao H, Liu Y, Gao N. Arenobufagin inhibits lung metastasis of colorectal cancer by targeting c-MYC/Nrf2 axis. Phytomedicine 2024; 127:155391. [PMID: 38452690 DOI: 10.1016/j.phymed.2024.155391] [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: 08/09/2023] [Revised: 01/12/2024] [Accepted: 01/24/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Colorectal cancer (CRC) is one of the commonest cancers worldwide. Metastasis is the most common cause of death in patients with CRC. Arenobufagin is an active component of bufadienolides, extracted from toad skin and parotid venom. Arenobufagin reportedly inhibits epithelial-to-mesenchymal transition (EMT) and metastasis in various cancers. However, the mechanism through which arenobufagin inhibits CRC metastasis remains unclear. PURPOSE This study aimed to elucidate the molecular mechanisms by which arenobufagin inhibits CRC metastasis. METHODS Wound-healing and transwell assays were used to assess the migration and invasion of CRC cells. The expression of nuclear factor erythroid-2-related factor 2 (Nrf2) in the CRC tissues was assessed using immunohistochemistry. The protein expression levels of c-MYC and Nrf2 were detected by immunoblotting. A mouse model of lung metastasis was used to study the effects of arenobufagin on CRC lung metastasis in vivo. RESULTS Arenobufagin observably inhibited the migration and invasion of CRC cells by downregulating c-MYC and inactivating the Nrf2 signaling pathway. Pretreatment with the Nrf2 inhibitor brusatol markedly enhanced arenobufagin-mediated inhibition of migration and invasion, whereas pretreatment with the Nrf2 agonist tert‑butylhydroquinone significantly attenuated arenobufagin-mediated inhibition of migration and invasion of CRC cells. Furthermore, Nrf2 knockdown with short hairpin RNA enhanced the arenobufagin-induced inhibition of the migration and invasion of CRC cells. Importantly, c-MYC acts as an upstream modulator of Nrf2 in CRC cells. c-MYC knockdown markedly enhanced arenobufagin-mediated inhibition of the Nrf2 signaling pathway, cell migration, and invasion. Arenobufagin inhibited CRC lung metastasis in vivo. Together, these findings provide evidence that interruption of the c-MYC/Nrf2 signaling pathway is crucial for arenobufagin-inhibited cell metastasis in CRC. CONCLUSIONS Collectively, our findings show that arenobufagin could be used as a potential anticancer agent against CRC metastasis. The arenobufagin-targeted c-MYC/Nrf2 signaling pathway may be a novel chemotherapeutic strategy for treating CRC.
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Affiliation(s)
- Mei Wang
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China
| | - Siyi Hu
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China
| | - Jiawang Yang
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China
| | - Liang Yuan
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China
| | - Limin Han
- Department of Pathophysiology, Zunyi Medical University, Zunyi 563000, Guizhou, PR China
| | - Feng Liang
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China
| | - Fenglin Zhang
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China
| | - Hailong Zhao
- Department of Pathophysiology, Zunyi Medical University, Zunyi 563000, Guizhou, PR China.
| | - Yun Liu
- Guizhou Provincial College-based Key Laboratory for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, 563000, PR China.
| | - Ning Gao
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi 563000, PR China.
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Yang LF, Mu JX, Zhang J, Zang S, Zhang L, Qi JH, Ni CP, Liu Y. Interventions to promote the implementation of pressure injury prevention measures in nursing homes: A scoping review. J Clin Nurs 2024; 33:1709-1723. [PMID: 38156732 DOI: 10.1111/jocn.16983] [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: 07/27/2023] [Revised: 11/18/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
AIMS To identify studies and the content of the interventions that have facilitated the implementation of pressure injury (PI) prevention measures in nursing home settings. DESIGN AND METHOD A scoping review methodology was employed. The author has carried out the following steps successively: Identified this scoping review's questions, retrieved potentially relevant studies, selected relevant studies, charted the data, summarised the results, and consulted with stakeholders from nursing homes in China. DATA SOURCES Six electronic databases and three resources of grey literature-PubMed, CINAHL, Web of Science Core Collection, Embase, Cochrane Central Register of Controlled Trials, Psych INFO, Open Grey, MedNar, ProQuest Dissertations, and Theses Full Texts were searched from January 2002 through May 2022. RESULTS Forty articles were included, among which the primary interventions were quality improvement, training and education, evidence-based practice, device-assisted PI prophylaxis, nursing protocols, and clinical decision support systems. Twenty-three outcome indicators were summarised in 40 articles, which included 10 outcome indicators, seven process indicators, and six structural indicators. Furthermore, only five articles reported barriers in the process of implementing interventions. CONCLUSION The common interventions to promote the implementation of PI prevention measures in nursing homes are quality improvement, training, and education. Relatively limited research has been conducted on evidence-based practice, clinical decision support systems, device-assisted PI prophylaxis, and nursing protocols. In addition, there is a paucity of studies examining the impediments to implementing these measures and devising targeted solutions. Therefore, it is recommended that future studies include analysis and reporting of barriers and facilitators as part of the article to improve the sustainability of the intervention. IMPACT This article reminds nursing home managers that they should realise the importance of implementation strategies between the best evidence of PI prevention and clinical practice. Also, this review provides the types, contents, and outcome indicators of these strategies for managers of nursing homes to consider what types of interventions to implement in their organisations. TRIAL AND PROTOCOL REGISTRATION The protocol of this scoping review was published as an open-access article in June 2022 (Yang et al., 2022).
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Affiliation(s)
- L F Yang
- Department of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - J X Mu
- Department of Nursing, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - J Zhang
- The Operating Room, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - S Zang
- Department of Nursing, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - L Zhang
- Public Health Clinical Center of Chengdu, Chengdu, Sichuan Province, China
| | - J H Qi
- Department of Pharmacy and Health Management, Hebei Chemical & Pharmaceutical College, Shijiazhuang, Hebei Province, China
| | - C P Ni
- School of Nursing, China Medical University, Shenyang, Liaoning Province, China
| | - Y Liu
- School of Nursing, China Medical University, Shenyang, Liaoning Province, China
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Deng C, Xiong C, Huo J, Liu Y, Man Y, Qu Y. Posterior open wound healing in immediate implant placement using reactive soft tissue versus absorbable collagen sponge: a retrospective cohort study. Int J Oral Maxillofac Surg 2024; 53:436-443. [PMID: 38103945 DOI: 10.1016/j.ijom.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 10/13/2023] [Accepted: 11/15/2023] [Indexed: 12/19/2023]
Abstract
The soft and hard tissue healing of open wounds in immediate implant placement are yet to be explored. The aim of this study was to compare the clinical outcomes of open wound healing using reactive soft tissue (RST) and absorbable collagen sponge (ACS). Forty implants placed immediately in posterior sockets were included; autologous RST was used in 20 and ACS substitute was used in 20. Soft tissue healing was primarily assessed through a novel scoring system and the evaluation of gingival recession. The horizontal bone width (HBW) and interproximal marginal bone level (MBL) were measured on radiographs to observe the hard tissue healing. No significant difference in total soft tissue healing score was observed at 2 weeks postoperatively. Notably, the ACS group showed better tissue colour (P = 0.016) but worse fibrous repair (P = 0.043) scores than the RST group. Gingival recession levels were comparable in the two groups, both before tooth extraction and after placement of the restoration. Regarding hard tissue, HBW and MBL changes showed no intergroup differences. Within the limitations of this study, both RST and ACS seemed effective for open wound closure, achieving ideal soft and hard tissue healing in immediate implant placement.
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Affiliation(s)
- C Deng
- State Key Laboratory of Oral Diseases and National Center for Stomatology and National Clinical Research Center for Oral Diseases and Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - C Xiong
- State Key Laboratory of Oral Diseases and National Center for Stomatology and National Clinical Research Center for Oral Diseases, West China School of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - J Huo
- State Key Laboratory of Oral Diseases and National Center for Stomatology and National Clinical Research Center for Oral Diseases, West China School of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- State Key Laboratory of Oral Diseases and National Center for Stomatology and National Clinical Research Center for Oral Diseases, West China School of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Y Man
- State Key Laboratory of Oral Diseases and National Center for Stomatology and National Clinical Research Center for Oral Diseases and Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Y Qu
- State Key Laboratory of Oral Diseases and National Center for Stomatology and National Clinical Research Center for Oral Diseases and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
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10
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Liu Y, Xie C, Li X. Carbon Nanotube Network Induces Porous Deposited MnO 2 for High-Areal Capacity Zn/Mn Batteries. Small 2024:e2402026. [PMID: 38659177 DOI: 10.1002/smll.202402026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/02/2024] [Indexed: 04/26/2024]
Abstract
Mn2+/MnO2 aqueous battery is a promising candidate for large-scale energy storage owing to its feature of low-cost and abundant crustal reserves. However, the inherent MnO2 shedding issue results in a limited areal capacity and poor cycling life, which prohibits its further commercialization. In this manuscript, it is revealed that the cause of shedding is the cracking of MnO2 layer due to stress. To circumvent this challenge, carbon nanotubes framework is introduced on pristine carbon felt, which provides more deposition sites and induces the formation of a porous deposition layer. Compared to the dense deposition layer on pristine carbon felt, the porous structure can effectively avoid cracking and subsequent shedding issue. Moreover, the porous deposited layer is conducive to proton diffusion and rich in defects, which facilitates the subsequent dissolution reaction. As results, the assembled Zn/Mn battery demonstrates more than 200 cycles with the areal capacity of 15 mAh cm-2 at 40 mA cm-2. Even with a high areal capacity of 40 mAh cm-2, it can still run for more than 60 cycles. This breakthrough paves a way toward practical manganese-based batteries, bringing us closer to achieve cost-effective batteries.
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Affiliation(s)
- Yun Liu
- Division of Energy Storage, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Congxin Xie
- Division of Energy Storage, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Xianfeng Li
- Division of Energy Storage, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
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11
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Liu Y, Zhang XX, Fang FQ, Xia YL. [Exploration and practice of cardio-oncology]. Zhonghua Yi Xue Za Zhi 2024; 104:1341-1346. [PMID: 38644280 DOI: 10.3760/cma.j.cn112137-20230925-00547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
With the improvement of oncology diagnosis and treatment, the survival time of cancer patients has been significantly prolonged, and the cancer therapy-related cardiovascular toxicity such as radiotherapy, chemotherapy, immunotherapy, and surgery are becoming more and more prominent, and it is in this context that the germ of Cardio-Oncology exploration has come into being. The multidisciplinary Cardio-Oncology team aims to establish a multidisciplinary prevention and control system to assess patients' baseline risk factors, individualized monitoring, and weighing the risk-benefit ratio of cancer therapy. At present, the connotation of the discipline of Cardio-Oncology has been expanded horizontally and deepened vertically in China, and Cardio-Oncology treatment centers have blossomed all over the country. Moreover, international and domestic scholars continue to improve Cardio-Oncology guidelines and consensus through their own practice, and develop artificial intelligence software to help the development of the discipline. It is believed that in the future, with the training of Cardio-Oncologists and the output of high-quality clinical research evidence, cardiovascular safety of cancer patients can be ensured more scientifically and effectively.
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Affiliation(s)
- Y Liu
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - X X Zhang
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - F Q Fang
- Department of Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Y L Xia
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
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12
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Liu XM, Duan HY, Zhang DQ, Chen C, Ji YT, Zhang YM, Feng ZW, Liu Y, Li JJ, Zhang Y, Li CY, Zhang YC, Yang L, Lyu ZY, Song FF, Song FJ, Huang YB. [Exploration and validation of optimal cut-off values for tPSA and fPSA/tPSA screening of prostate cancer at different ages]. Zhonghua Zhong Liu Za Zhi 2024; 46:354-364. [PMID: 38644271 DOI: 10.3760/cma.j.cn112152-20230805-00062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective: To determine the total and age-specific cut-off values of total prostate specific antigen (tPSA) and the ratio of free PSA divided total PSA (fPSA/tPSA) for screening prostate cancer in China. Methods: Based on the Chinese Colorectal, Breast, Lung, Liver, and Stomach cancer Screening Trial (C-BLAST) and the Tianjin Common Cancer Case Cohort (TJ4C), males who were not diagnosed with any cancers at baseline since 2017 and received both tPSA and fPSA testes were selected. Based on Cox regression, the overall and age-specific (<60, 60-<70, and ≥70 years) accuracy and optimal cut-off values of tPSA and fPSA/tPSA ratio for screening prostate cancer were evaluated with time-dependent receiver operating characteristic curve (tdROC) and area under curve (AUC). Bootstrap resampling was used to internally validate the stability of the optimal cut-off value, and the PLCO study was used to externally validate the accuracy under different cut-off values. Results: A total of 5 180 participants were included in the study, and after a median follow-up of 1.48 years, a total of 332 prostate cancer patients were included. In the total population, the tdAUC of tPSA and fPSA/tPSA screening for prostate cancer were 0.852 and 0.748, respectively, with the optimal cut-off values of 5.08 ng/ml and 0.173, respectively. After age stratification, the age specific cut-off values of tPSA in the <60, 60-<70, and ≥70 age groups were 3.13, 4.82, and 11.54 ng/ml, respectively, while the age-specific cut-off values of fPSA/tPSA were 0.153, 0.135, and 0.130, respectively. Under the age-specific cut-off values, the sensitivities of tPSA screening for prostate cancer in males <60, 60-70, and ≥70 years old were 92.3%, 82.0%, and 77.6%, respectively, while the specificities were 84.7%, 81.3%, and 75.4%, respectively. The age-specific sensitivities of fPSA/tPSA for screening prostate cancer were 74.4%, 53.3%, and 55.9%, respectively, while the specificities were 83.8%, 83.7%, and 83.7%, respectively. Both bootstrap's internal validation and PLCO external validation provided similar results. The combination of tPSA and fPSA/tPSA could further improve the accuracy of screening. Conclusion: To improve the screening effects, it is recommended that age-specific cut-off values of tPSA and fPSA/tPSA should be used to screen for prostate cancer in the general risk population.
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Affiliation(s)
- X M Liu
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - H Y Duan
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - D Q Zhang
- Department of Hospital Information System, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - C Chen
- Department of Clinical Laboratory, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Y T Ji
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Y M Zhang
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Z W Feng
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Y Liu
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - J J Li
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Y Zhang
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - C Y Li
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Y C Zhang
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - L Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100143, China
| | - Z Y Lyu
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - F F Song
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - F J Song
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Y B Huang
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
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13
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Li Y, Liu Y, Liu K, Tao T, Yang L, Liu R, Zhou H, Liang D, Zhang Y, Huang D, Sun Y. Study on the role of CCM3 gene and lead exposure induced neurotoxicity through neurovascular units. Ecotoxicol Environ Saf 2024; 277:116269. [PMID: 38657460 DOI: 10.1016/j.ecoenv.2024.116269] [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: 12/16/2023] [Revised: 03/13/2024] [Accepted: 03/26/2024] [Indexed: 04/26/2024]
Abstract
This study aimed to determine the toxic effects of vascular CCM3 gene deficiency and lead (Pb) exposure on the nervous system. Lentiviral transfection was performed to generate a stable strain of brain microvascular endothelial cells with low CCM3 expression. MTT assay assessed the survival rate of cells exposed to Pb, determining the dose and duration of Pb exposure in vitro. Proteomic analysis was performed on the differentially expressed proteins in bEnd3 and HT22 cells and flow cytometry was used to detect cell apoptosis. Finally, urine samples from pregnant and postpartum women were subjected to ICP-MS to detect Pb levels and HPLC to detect neurotransmitter metabolites. Based on the proteomic analysis of bEnd3 (CCM3-/-) cells co-cultured with HT22 cells, it was determined that HT22 cells and CCM3 genes interfered with bEnd3 cell differential proteins,2 including apoptosis and ferroptosis pathways. Electron microscopy observation, ICP-MS iron ion loading detection, and WB determination of protein GPX4 expression confirmed that HT22 cells undergo apoptosis, while bEnd3 cells undergo multiple pathways of iron death and apoptosis regulation. Furthermore, a linear regression model showed the interaction between maternal urine Pb levels, the rs9818496 site of the CCM3 SNP in peripheral blood DNA, and the concentration of the neurotransmitter metabolite 5-HIAA in maternal urine (F=4.198, P < 0.05). bEnd3 cells with CCM3 gene deficiency can induce HT22 cell apoptosis through iron death and apoptosis pathways under Pb exposure in a combined cell culture Pb exposure model, and CCM3 gene deficiency in endothelial cells and Pb exposure interacts with neural cell HT22. Epidemiological studies on maternal and newborn infants further confirmed the interaction between urine Pb levels in mothers and the SNP rs9818496 site of the CCM3 gene in peripheral blood DNA.
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Affiliation(s)
- Yumeng Li
- Department of Toxicology, Guilin Medical University, Guilin 541004, China; Occupational Disease Prevention and Control Section, Zaozhuang Center for Disease Control and Prevention, Zaozhuang 277000, China
| | - Yun Liu
- Department of Gynaecolog, Tangshan Central Hospital, Tangshan, Hebei 063000, China
| | - Kangkang Liu
- Department of Research Center for Medicine, the Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Tao Tao
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Liuxue Yang
- Department of Endocrinology, The Second Affiliated Hospital of Guilin Medical College, China
| | - Ruxi Liu
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Hang Zhou
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Dan Liang
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Ying Zhang
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Danni Huang
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Yi Sun
- Department of Toxicology, Guilin Medical University, Guilin 541004, China.
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14
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Li WY, Liu Y, Zhang YM, Dou LZ, He S, Ke Y, Liu XD, Liu YM, Wu HR, Wang GQ. [Therapeutic efficacy analysis of endoscopic combined with serological diagnosis strategy and endoscopic in G1 and G2 gastric neuroendocrine neoplasms]. Zhonghua Zhong Liu Za Zhi 2024; 46:326-334. [PMID: 38644268 DOI: 10.3760/cma.j.cn112152-20231219-00368] [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: 04/23/2024]
Abstract
Objective: To investigate the endoscopic combined serological diagnosis strategy for G1 and G2 gastric neuroendocrine neoplasms (G-NENs), and to evaluate the safety, short-term, and long-term efficacy of two endoscopic treatment procedures: endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD). Methods: This study retrospectively analyzed the clinical data of 100 consecutive patients with G-NENs who were hospitalized at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2011 to October 2023. These patients underwent endoscopic treatment, and propensity score matching (PSM) was used to compare clinicopathological characteristics, as well as short-term and long-term efficacy of lesions in the EMR group and ESD group before and after treatment. Results: Among the 100 patients with G-NENs, the median age was 54 years old. Before surgery, 29 cases underwent endoscopic combined serological examination, and 24 of them (82.2%) had abnormally elevated plasma chromogranin A. The combined diagnostic strategy for autoimmune atrophic gastritis (AIG) achieved a diagnostic accuracy of 100%(22/22). A total of 235 G-NEN lesions were included, with 84 in the ESD group and 151 in the EMR group. The median size of the lesions in the ESD group (5.0 mm) was significantly larger than that in the EMR group (2.0 mm, P<0.001). Additionally, the ESD group had significantly more lesions with pathological grade G2[23.8%(20/84) vs. 1.3%(2/151), P<0.001], infiltration depth reaching the submucosal layer [78.6%(66/84) vs. 51.0%(77/151), P<0.001], and more T2 stage compared to the EMR group[15.5%(13/84) vs. 0.7%(1/151), P<0.001]. After PSM, 49 pairs of lesions were successfully matched between the two groups. Following PSM, there were no significant differences in the en bloc resection rate [100.0%(49/49) vs. 100.0%(49/49)], complete resection rate [93.9%(46/49) vs. 100.0%(49/49)], and complication rate [0(0/49) vs. 4.1%(2/49)] between the two groups. During the follow-up period, no recurrence or distant metastasis was observed in any of the lesions in both groups. Conclusions: The combination of endoscopy and serology diagnostic strategy has the potential to enhance the accuracy of diagnosing G1 and G2 stage G-NENs and their background mucosa. Endoscopic resection surgery (EMR, ESD) is a proven and safe treatment approach for G1 and G2 stage G-NENs.
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Affiliation(s)
- W Y Li
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Liu
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y M Zhang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Z Dou
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S He
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Ke
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X D Liu
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y M Liu
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H R Wu
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G Q Wang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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15
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Liu H, Li P, Zhu P, Liu Y. Preparation and properties of flame retardant and hydrophobic cotton fabrics based on poly-(dimethylsiloxane-co-diphenylsiloxane, dihydroxy terminated)/ammonia phytate. Int J Biol Macromol 2024; 268:131750. [PMID: 38657923 DOI: 10.1016/j.ijbiomac.2024.131750] [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: 01/29/2024] [Revised: 04/12/2024] [Accepted: 04/20/2024] [Indexed: 04/26/2024]
Abstract
Applications for cotton fabrics with multifunctional qualities, such as flame retardancy, hydrophobicity, and anti-ultraviolet properties, are increasingly common and growing daily. The primary objective of this study is to investigate the preparation of flame retardant, hydrophobic, and ultraviolet (UV) protection cotton fabrics through the utilization of Poly-dimethylsiloxane-co-diphenylsiloxane, dihydroxy terminated (HTDMS) and ammonia phytate (AP). The flame retardancy, thermal stability, mechanical properties, anti-UV properties, air permeability and the hydrophobicity properties of coated cotton fabrics were evaluated. The results indicated that the HTDMS/AP coating was successfully deposited on the surface of cotton fabrics. The damaged length of Cotton/HTDMS/AP was 4.7 cm, and the limiting oxygen index reached 31.5 %. The thermogravimetric analysis revealed that the char residues in the high-temperature range were increased. Furthermore, cone calorimetry results indicated that after the HTDMS/AP coating, the peak heat release rate, total heat release, and total smoke production values decreased by 88.7 %, 51.2 %, and 98.4 %, respectively. Moreover, the deposition of HTDMS/AP provided cotton fabrics with hydrophobicity with a water contact angle of over 130°, while Cotton/HTDMS/AP maintained their air permeability, and enhanced the breaking force compared with those of Cotton/AP. Such desirable qualities make HTDMS/AP a meaningful coating for producing multifunctional cotton fabrics.
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Affiliation(s)
- Hui Liu
- College of Textiles & Clothing, Institute of Functional Textiles and Advanced Materials, National Engineering Research Center for Advanced Fire-Safety Materials D & A (Shandong), Qingdao Key Laboratory of Flame Retardant Textile Materials, State Key Laboratory of Bio-Fibers and Eco-textiles, Qingdao University, Qingdao 266071, China; Shandong Foreign Trade Vocational College, Qingdao 266071, China
| | - Ping Li
- College of Textiles & Clothing, Institute of Functional Textiles and Advanced Materials, National Engineering Research Center for Advanced Fire-Safety Materials D & A (Shandong), Qingdao Key Laboratory of Flame Retardant Textile Materials, State Key Laboratory of Bio-Fibers and Eco-textiles, Qingdao University, Qingdao 266071, China
| | - Ping Zhu
- College of Textiles & Clothing, Institute of Functional Textiles and Advanced Materials, National Engineering Research Center for Advanced Fire-Safety Materials D & A (Shandong), Qingdao Key Laboratory of Flame Retardant Textile Materials, State Key Laboratory of Bio-Fibers and Eco-textiles, Qingdao University, Qingdao 266071, China
| | - Yun Liu
- College of Textiles & Clothing, Institute of Functional Textiles and Advanced Materials, National Engineering Research Center for Advanced Fire-Safety Materials D & A (Shandong), Qingdao Key Laboratory of Flame Retardant Textile Materials, State Key Laboratory of Bio-Fibers and Eco-textiles, Qingdao University, Qingdao 266071, China.
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16
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Xiao Y, Han C, Li X, Zhu X, Li S, Jiang N, Yu C, Liu Y, Liu F. S-Adenosylmethionine (SAM) diet promotes innate immunity via histone H3K4me3 complex. Int Immunopharmacol 2024; 131:111837. [PMID: 38471365 DOI: 10.1016/j.intimp.2024.111837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/27/2024] [Accepted: 03/08/2024] [Indexed: 03/14/2024]
Abstract
S-adenosylmethionine (SAM) was a methyl donor for modifying histones, which had crucial roles in lipid accumulation, tissue injury, and immune responses. SAM fluctuation might be linked to variations in histone methylation. However, the underlying molecular mechanisms of whether the SAM diet influenced the immune response via histone modification remained obscure. In this study, we utilized the Caenorhabditis elegans as a model to investigate the role of SAM diet in innate immunity. We found that 50 μM SAM increased resistance to Gram-negative pathogen Pseudomonas aeruginosa PA14 by reducing the bacterial burden in the intestine. Furthermore, through the genetic screening in C. elegans, we found that SAM functioned in germline to enhance innate immunity via an H3K4 methyltransferase complex to upregulate the immune response genes, including irg-1 and T24B8.5. Intriguingly, SAM also protected mice from P. aeruginosa PA14 infection by reducing the bacterial burden in lung. These findings provided insight into the mechanisms of molecular connections among SAM diet, histone modifications and innate immunity.
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Affiliation(s)
- Yi Xiao
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China.
| | - Chao Han
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Xiaocong Li
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Xinting Zhu
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Sanhua Li
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Nian Jiang
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Changyan Yu
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Yun Liu
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China; Institute of Life Sciences, Zunyi Medical University, Zunyi, Guizhou 563000, China.
| | - Fang Liu
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China; College of Basic Medicine, Zunyi Medical University, Zunyi, Guizhou 563000, China.
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17
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Peng Q, Liu X, Li W, Jing H, Li J, Gao X, Luo Q, Breeze CE, Pan S, Zheng Q, Li G, Qian J, Yuan L, Yuan N, You C, Du S, Zheng Y, Yuan Z, Tan J, Jia P, Wang J, Zhang G, Lu X, Shi L, Guo S, Liu Y, Ni T, Wen B, Zeng C, Jin L, Teschendorff AE, Liu F, Wang S. Analysis of blood methylation quantitative trait loci in East Asians reveals ancestry-specific impacts on complex traits. Nat Genet 2024:10.1038/s41588-023-01494-9. [PMID: 38641644 DOI: 10.1038/s41588-023-01494-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 08/02/2023] [Indexed: 04/21/2024]
Abstract
Methylation quantitative trait loci (mQTLs) are essential for understanding the role of DNA methylation changes in genetic predisposition, yet they have not been fully characterized in East Asians (EAs). Here we identified mQTLs in whole blood from 3,523 Chinese individuals and replicated them in additional 1,858 Chinese individuals from two cohorts. Over 9% of mQTLs displayed specificity to EAs, facilitating the fine-mapping of EA-specific genetic associations, as shown for variants associated with height. Trans-mQTL hotspots revealed biological pathways contributing to EA-specific genetic associations, including an ERG-mediated 233 trans-mCpG network, implicated in hematopoietic cell differentiation, which likely reflects binding efficiency modulation of the ERG protein complex. More than 90% of mQTLs were shared between different blood cell lineages, with a smaller fraction of lineage-specific mQTLs displaying preferential hypomethylation in the respective lineages. Our study provides new insights into the mQTL landscape across genetic ancestries and their downstream effects on cellular processes and diseases/traits.
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Affiliation(s)
- Qianqian Peng
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xinxuan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Wenran Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Han Jing
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jiarui Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xingjian Gao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Qi Luo
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | | | - Siyu Pan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Qiwen Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Guochao Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Jiaqiang Qian
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Liyun Yuan
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Na Yuan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Chenglong You
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Siyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Jingze Tan
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Peilin Jia
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Guoqing Zhang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Xianping Lu
- Shenzhen Chipscreen Biosciences Co. Ltd., Shenzhen, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Shicheng Guo
- Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Yun Liu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China
| | - Bo Wen
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China
- The Fifth People's Hospital of Shanghai and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Andrew E Teschendorff
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, China.
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia.
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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18
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Ye J, Fei H, Du J, Liu Y, He J, Li M, He Y, Ren P, Li J, Xu Y, Li J, Wang P, Zhang X, Li T. Exploring transvaginal sonographic characteristics of the levator ani muscle in women with postpartum pelvic floor myofascial pain. BMC Womens Health 2024; 24:245. [PMID: 38637819 PMCID: PMC11025161 DOI: 10.1186/s12905-024-03052-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 03/25/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Pelvic floor myofascial pain is one of the pelvic floor dysfunction diseases disturbing women after delivery. There is a lack of objective standardization for the diagnosis of pelvic floor myofascial pain due to the various symptoms and the dependence on the palpating evaluation. Ultrasound imaging has the advantages of safety, simplicity, economy and high resolution, which makes it an ideal tool for the assistant diagnosis of pelvic floor myofascial pain and evaluation after treatment. METHODS This is a retrospective case-control study including women accepting evaluation of pelvic floor function at 6 weeks to 1 year postpartum. They were divided into pelvic floor myofascial pain group and normal control group. A BCL 10-5 biplane transducer was applied to observed their puborectalis. The length, minimum width, area, deficiency, deficiency length, deficiency width, deficiency area, rate of deficiency area, local thickening,angle between the tendinous arch of levator ani muscle and puborectalis of corresponding puborectalis in different groups were observed and measured. RESULTS A total of 220 postpartum women participated in the study, with 77 in the pelvic floor myofascial pain group and 143 in the normal control group. The Intraclass correlation coefficient value was over 0.750, and Kappa ranged from 0.600 to 0.800. puborectalis deficiency (adjusted odds ratio = 11.625, 95% confidence interval = 4.557-29.658) and focal thickening (adjusted odds ratio = 16.891, 95% confidence interval = 1.819-156.805) were significantly associated with higher odds of having postpartum pelvic floor myofascial pain. Grayscale or the angle between the arch tendineus levator ani and puborectalis measurements on the pain side tended to be smaller than on the non-pain side in patients with unilateral puborectalis or iliococcygeus pain (P < 0.05). CONCLUSIONS This study demonstrated that transvaginal ultrasound was a potentially efficient technique for evaluating postpartum pelvic floor myofascial pain due to its ability to assess various sonographic characteristics of the levator ani muscles.
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Affiliation(s)
- Juntong Ye
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Hui Fei
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Jingran Du
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Yun Liu
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Juan He
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Mengxiong Li
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Yunxia He
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Pinyu Ren
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Juanhua Li
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Yang Xu
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Jing Li
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China
| | - Pu Wang
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China.
| | - Xinling Zhang
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Province, Guangzhou, China.
| | - Tian Li
- The Pelvic Floor Disorder Center, Obstetrics and Gynecology Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, Shenzhen, China.
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Hu M, Chen J, Liu Y. Structural properties and adsorption performance relationship towards three categories of lignin and their derived biochar. Bioresour Technol 2024:130712. [PMID: 38641300 DOI: 10.1016/j.biortech.2024.130712] [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: 03/10/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
The growing interest in utilizing lignin for dye removal has gained momentum, but there is limited information on the intricate relationship between lignin structural characteristics and adsorption efficacy, especially for its biochar derivatives. This study focused on three types of lignin and their corresponding biochar derivatives. Among them, ZnCl2-activated acidic/alkali densified lignin preparation of lignin-derived active carbon exhibited superior adsorption performance, achieving 526.32 mg/g for methylene blue and 2156.77 mg/g for congo red. Its exceptional adsorption capacity was attributed to its unique structural properties, including low alkyl and O-alkyl group content and high aromatic carbon levels. Furthermore, the adsorption mechanisms adhered to pseudo-second-order kinetics and the Langmuir model, signifying a spontaneous process. Intriguingly, lignin-derived active carbon also demonstrated remarkable recovery capabilities. These findings provide valuable insights into the impact of structural attributes on lignin and its biochar's adsorption performance.
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Affiliation(s)
- Mingyang Hu
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Jiangwei Chen
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Yun Liu
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
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20
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Chen X, Du H, Liu Y, Shi T, Li J, Liu J, Zhao L, Liu S. Author Correction: Fully connected-convolutional (FC-CNN) neural network based on hyperspectral images for rapid identification of P. ginseng growth years. Sci Rep 2024; 14:8862. [PMID: 38632377 PMCID: PMC11024092 DOI: 10.1038/s41598-024-59638-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024] Open
Affiliation(s)
- Xingfeng Chen
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
- State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Hejuan Du
- The School of Information Engineering, Xizang Minzu University, Xianyang, 712089, China
| | - Yun Liu
- The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, 050000, China
| | - Tingting Shi
- State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Jiaguo Li
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
| | - Jun Liu
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
| | - Limin Zhao
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
| | - Shu Liu
- Jilin Provincial Key Laboratory of Chinese Medicine Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
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21
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Ye Z, Tai Y, Han Z, Liu S, Etheridge ML, Pasek-Allen JL, Shastry C, Liu Y, Li Z, Chen C, Wang Z, Bischof JC, Nam J, Yin Y. Engineering Magnetic Nanoclusters for Highly Efficient Heating in Radio-Frequency Nanowarming. Nano Lett 2024; 24:4588-4594. [PMID: 38587406 DOI: 10.1021/acs.nanolett.4c00721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Effective thawing of cryopreserved samples requires rapid and uniform heating. This is achievable through nanowarming, an approach that heats magnetic nanoparticles by using alternating magnetic fields. Here we demonstrate the synthesis and surface modification of magnetic nanoclusters for efficient nanowarming. Magnetite (Fe3O4) nanoclusters with an optimal diameter of 58 nm exhibit a high specific absorption rate of 1499 W/g Fe under an alternating magnetic field at 43 kA/m and 413 kHz, more than twice that of commercial iron oxide cores used in prior nanowarming studies. Surface modification with a permeable resorcinol-formaldehyde resin (RFR) polymer layer significantly enhances their colloidal stability in complex cryoprotective solutions, while maintaining their excellent heating capacity. The Fe3O4@RFR nanoparticles achieved a high average heating rate of 175 °C/min in cryopreserved samples at a concentration of 10 mg Fe/mL and were successfully applied in nanowarming porcine iliac arteries, highlighting their potential for enhancing the efficacy of cryopreservation.
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Affiliation(s)
- Zuyang Ye
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Youyi Tai
- Department of Bioengineering, University of California, Riverside, California 92521, United States
| | - Zonghu Han
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Sangmo Liu
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Michael L Etheridge
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jacqueline L Pasek-Allen
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Chaitanya Shastry
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Yun Liu
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Zhiwei Li
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Chen Chen
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Zhongxiang Wang
- Department of Chemistry, University of California, Riverside, California 92521, United States
| | - John C Bischof
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jin Nam
- Department of Bioengineering, University of California, Riverside, California 92521, United States
| | - Yadong Yin
- Department of Chemistry, University of California, Riverside, California 92521, United States
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22
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Vinograd I, Souliou SM, Haghighirad AA, Lacmann T, Caplan Y, Frachet M, Merz M, Garbarino G, Liu Y, Nakata S, Ishida K, Noad HML, Minola M, Keimer B, Orgad D, Hicks CW, Le Tacon M. Using strain to uncover the interplay between two- and three-dimensional charge density waves in high-temperature superconducting YBa 2Cu 3O y. Nat Commun 2024; 15:3277. [PMID: 38627407 PMCID: PMC11021565 DOI: 10.1038/s41467-024-47540-w] [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: 11/29/2023] [Accepted: 04/05/2024] [Indexed: 04/19/2024] Open
Abstract
Uniaxial pressure provides an efficient approach to control charge density waves in YBa2Cu3Oy. It can enhance the correlation volume of ubiquitous short-range two-dimensional charge-density-wave correlations, and induces a long-range three-dimensional charge density wave, otherwise only accessible at large magnetic fields. Here, we use x-ray diffraction to study the strain dependence of these charge density waves and uncover direct evidence for a form of competition between them. We show that this interplay is qualitatively described by including strain effects in a nonlinear sigma model of competing superconducting and charge-density-wave orders. Our analysis suggests that strain stabilizes the 3D charge density wave in the regions between disorder-pinned domains of 2D charge density waves, and that the two orders compete at the boundaries of these domains. No signatures of discommensurations nor of pair density waves are observed. From a broader perspective, our results underscore the potential of strain tuning as a powerful tool for probing competing orders in quantum materials.
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Affiliation(s)
- I Vinograd
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
- 4th Physical Institute - Solids and Nanostructures, University of Göttingen, D-37077, Göttingen, Germany
| | - S M Souliou
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
| | - A-A Haghighirad
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
| | - T Lacmann
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
| | - Y Caplan
- Racah Institute of Physics, The Hebrew University, Jerusalem, 91904, Israel
| | - M Frachet
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
| | - M Merz
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
- Karlsruhe Nano Micro Facility (KNMFi), Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany
| | - G Garbarino
- ESRF, The European Synchrotron, 71, avenue des Martyrs, CS 40220, F-38043, Grenoble Cedex 9, France
| | - Y Liu
- Max Planck Institute for Solid State Research, Heisenbergstraße 1, D-70569, Stuttgart, Germany
| | - S Nakata
- Max Planck Institute for Solid State Research, Heisenbergstraße 1, D-70569, Stuttgart, Germany
| | - K Ishida
- Max Planck Institute for Chemical Physics of Solids, Nöthnitzer Str. 40, D-01187, Dresden, Germany
- Institute for Materials Research, Tohoku University, Sendai, 980-8577, Japan
| | - H M L Noad
- Max Planck Institute for Chemical Physics of Solids, Nöthnitzer Str. 40, D-01187, Dresden, Germany
| | - M Minola
- Max Planck Institute for Solid State Research, Heisenbergstraße 1, D-70569, Stuttgart, Germany
| | - B Keimer
- Max Planck Institute for Solid State Research, Heisenbergstraße 1, D-70569, Stuttgart, Germany
| | - D Orgad
- Racah Institute of Physics, The Hebrew University, Jerusalem, 91904, Israel
| | - C W Hicks
- Max Planck Institute for Chemical Physics of Solids, Nöthnitzer Str. 40, D-01187, Dresden, Germany
- School of Physics and Astronomy, University of Birmingham, Birmingham, B15 2TT, UK
| | - M Le Tacon
- Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76131, Karlsruhe, Germany.
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23
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Zhao X, Xu J, Shui Y, Xu M, Hu J, Liu X, Che K, Wang J, Liu Y. PermuteDDS: a permutable feature fusion network for drug-drug synergy prediction. J Cheminform 2024; 16:41. [PMID: 38622663 PMCID: PMC11017561 DOI: 10.1186/s13321-024-00839-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 04/03/2024] [Indexed: 04/17/2024] Open
Abstract
MOTIVATION Drug combination therapies have shown promise in clinical cancer treatments. However, it is hard to experimentally identify all drug combinations for synergistic interaction even with high-throughput screening due to the vast space of potential combinations. Although a number of computational methods for drug synergy prediction have proven successful in narrowing down this space, fusing drug pairs and cell line features effectively still lacks study, hindering current algorithms from understanding the complex interaction between drugs and cell lines. RESULTS In this paper, we proposed a Permutable feature fusion network for Drug-Drug Synergy prediction, named PermuteDDS. PermuteDDS takes multiple representations of drugs and cell lines as input and employs a permutable fusion mechanism to combine drug and cell line features. In experiments, PermuteDDS exhibits state-of-the-art performance on two benchmark data sets. Additionally, the results on independent test set grouped by different tissues reveal that PermuteDDS has good generalization performance. We believed that PermuteDDS is an effective and valuable tool for identifying synergistic drug combinations. It is publicly available at https://github.com/littlewei-lazy/PermuteDDS . SCIENTIFIC CONTRIBUTION First, this paper proposes a permutable feature fusion network for predicting drug synergy termed PermuteDDS, which extract diverse information from multiple drug representations and cell line representations. Second, the permutable fusion mechanism combine the drug and cell line features by integrating information of different channels, enabling the utilization of complex relationships between drugs and cell lines. Third, comparative and ablation experiments provide evidence of the efficacy of PermuteDDS in predicting drug-drug synergy.
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Affiliation(s)
- Xinwei Zhao
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Junqing Xu
- The Second Clinical Medical School, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Youyuan Shui
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Mengdie Xu
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Jie Hu
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
- Institute of Medical Informatics and Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 210029, Jiangsu, China
| | - Xiaoyan Liu
- Faculty of Computing, Harbin Institute of Technology, No. 92 West Da Zhi St, Harbin, 150001, Heilongjiang, China
| | - Kai Che
- Xi'an Aeronautics Computing Technique Research Institute, AVIC, No. 156, TaiBai Nroth Road, Xi'an, 710068, Shanxi, China
- Aviation Key Laboratory of Science and Technology on Airborne and Missleborne Computer, Xi'an, 710065, Shanxi, China
| | - Junjie Wang
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
- Institute of Medical Informatics and Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 210029, Jiangsu, China.
| | - Yun Liu
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
- Institute of Medical Informatics and Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 210029, Jiangsu, China.
- Department of Information, the First Affiliated Hospital, Nanjing Medical University, No. 300 Guang Zhou Road, Nanjing, 210029, Jiangsu, China.
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Wang J, Zhang W, Xie Z, Wang X, Sun J, Ran F, Jiang W, Liu Y, Wang Z, Ran H, Guo D. NIR-responsive copper nanoliposome composites for cascaded ferrotherapy via ferroptosis actived ICD and IFN-γ released. Biomaterials 2024; 308:122570. [PMID: 38636133 DOI: 10.1016/j.biomaterials.2024.122570] [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: 12/17/2023] [Revised: 03/14/2024] [Accepted: 04/08/2024] [Indexed: 04/20/2024]
Abstract
Metallic biomaterials activate tumor ferroptosis by increasing oxidative stress, but their efficacy is severely limited in tumor microenvironment. Although interferon gamma (IFN-γ) can promote tumor ferroptosis sensitivity by inhibiting the antioxidant system and promoting lipid accumulation, this effect limited by the lack of IFN-γ accumulation in tumors. Herein, we report a near-infrared (NIR)-responsive HCuS nanocomposite (HCuS-PE@TSL-tlyp-1) that can stimulate immunogenic cell death (ICD)-mediated IFN-γ secretion through exogenous oxidative stress, thereby achieving cascaded ferrotherapy by mutually reinforcing ferroptosis and systemic immunity. Upon laser irradiation, the dissolution of the thermal coating, and the introduction of Cu ions and piperazine-erastin (PE) simultaneously induce oxidative stress by reactive oxygen species (ROS)/lipid peroxide (LPO) accumulation and deplete cystine-glutamate transporter (xCT)/GSH. The onset of oxidative stress-mediated ferroptosis is thus achieved, and ICD is triggered, significantly promoting cytotoxic T-cell (CTL) infiltration for IFN-γ secretion. Furthermore, IFN-γ induces immunogenic tumor ferroptosis by inhibiting xCT-antioxidant pathways and enhancing the ACSL4-fatty acid recruitment pathway, which further promotes sensitivity to ferroptosis in cells. These HCuS nanocomposites combined with aPD-L1 effectively in inhibiting tumor metastasis and recurrence. Importantly, these cascade ferrotherapy results broadens the application of HCuS biomaterials.
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Affiliation(s)
- Junrui Wang
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China; Chongqing Key Laboratory of Ultrasound Molecular Imaging & Department of Ultrasound, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Wenli Zhang
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China; Chongqing Key Laboratory of Ultrasound Molecular Imaging & Department of Ultrasound, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Zhuoyan Xie
- Department of Ultrasound, Chongqing General Hospital, Chongqing, 400014, PR China
| | - Xingyue Wang
- Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science. Xiangyang, Hubei, 441053, PR China
| | - Jiangshan Sun
- Chongqing Medical and Health School, Chongqing, 408000, PR China
| | - Fei Ran
- Department of Dentistry, Chongqing University Fuling Hospital, Chongqing, 408000, PR China
| | - Weixi Jiang
- Chongqing Key Laboratory of Ultrasound Molecular Imaging & Department of Ultrasound, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Yun Liu
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Zhigang Wang
- Chongqing Key Laboratory of Ultrasound Molecular Imaging & Department of Ultrasound, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Haitao Ran
- Chongqing Key Laboratory of Ultrasound Molecular Imaging & Department of Ultrasound, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Dajing Guo
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China.
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Qi L, Shu M, Liu Y, Yang L. Breaking the burnout cycle: Association of dispositional mindfulness with production line workers' job burnout and the mediating role of social support and psychological empowerment. Heliyon 2024; 10:e29118. [PMID: 38601663 PMCID: PMC11004655 DOI: 10.1016/j.heliyon.2024.e29118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/21/2024] [Accepted: 04/01/2024] [Indexed: 04/12/2024] Open
Abstract
Burnout among production line workers has become an issue for their physical and mental health and for the productive efficiency of companies. However, this large group of workers has received insufficient attention, particularly in exploring how employees' dispositional factors are associated with burnout. Therefore, this study aimed to examine the association between dispositional mindfulness and job burnout and the potential mediating roles played by perceived social support and psychological empowerment. Participants in the study included 780 production line workers recruited from a foreign company in China. Participants completed measures related to dispositional mindfulness, perceived social support, psychological empowerment, and job burnout. The results showed that (a) dispositional mindfulness was significantly related to lower burnout (β = -0.446, 95% CI [-0.552, -0.340]); (b) perceived social support (β = -0.073, 95% CI [-0.126, -0.025]) and psychological empowerment (β = -0.106, 95% CI [-0.171, -0.058]) mediated this association individually; and (c) perceived social support and psychological empowerment had a serial mediating effect in this context (β = -0.055, 95% CI [-0.095, -0.028]). This study revealed the association between dispositional mindfulness and job burnout, with an additional focus on how dispositional mindfulness correlates with other resources, such as perceived social support and psychological empowerment.
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Affiliation(s)
- Lidong Qi
- School of Psychology, Nanjing Normal University, No. 122 Ninghai Road, Nanjing, Jiangsu, 210024, China
| | - Mei Shu
- School of Psychology, Nanjing Normal University, No. 122 Ninghai Road, Nanjing, Jiangsu, 210024, China
| | - Yun Liu
- School of Psychology, Nanjing Normal University, No. 122 Ninghai Road, Nanjing, Jiangsu, 210024, China
| | - Liping Yang
- School of Psychology, Nanjing Normal University, No. 122 Ninghai Road, Nanjing, Jiangsu, 210024, China
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Zhou M, Li Z, Liu Y, Fang Y, Qin L, Yang W, Yan F, Zhao Q. Transapical intramyocardial septal microwave ablation in treatment of hypertrophic obstructive cardiomyopathy: 12-month outcomes of a swine model. J Cardiothorac Surg 2024; 19:205. [PMID: 38615019 PMCID: PMC11015544 DOI: 10.1186/s13019-024-02677-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 03/23/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND To date, the extended Morrow procedure is considered the gold standard treatment for patients with obstructive hypertrophic cardiomyopathy who experience severe symptoms and are unresponsive to medication treatment. We therefore aimed to perform transapical intramyocardial septal microwave ablation to reduce the thickness of the interventricular septum myocardium in a minimally invasive method. METHODS Fourteen swine were divided to form either a microwave ablation group (n = 7) or a sham group (n = 7). In the microwave ablation group, a transapical microwave antenna was inserted into the septum to ablate each myocardial segment at 40 W for 1 min, while in the sham group, the same operation was performed but without power output. We used echocardiography, electrocardiogram, during the operation. And added computerized tomography, cardiac nuclear magnetic resonance during follow-up. RESULTS Segment hypokinesis was observed in all swine immediately following ablation. Compared with the sham group, the thickness of ablated segments in the ablation group decreased significantly 1 month post-operation (ablation group, 5.53 ± 1.00 mm vs. 8.03 ± 1.15 mm, respectively, P < 0.01; sham group, 8.40 ± 0.94 mm vs. 8.21 ± 1.09 mm, respectively, P = 0.081), and the outcome was still observed 1 year post-operation (ablation group, 3.36 ± 0.85 mm vs. 8.03 ± 1.15 mm, respectively, P < 0.01). No perforation of the septum was observed during the procedure or follow-up, and no heart failure or sudden cardiac death occurred during postoperative feeding. CONCLUSIONS Transapical intramyocardial septal microwave ablation can effectively and safely produce a large region of necrosis. This technique can potentially mimic surgical myectomy while avoiding cardiopulmonary bypass and median sternotomy in high-risk hypertrophic obstructive cardiomyopathy patients.
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Affiliation(s)
- Mi Zhou
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhaolong Li
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yun Liu
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuehua Fang
- Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Le Qin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qiang Zhao
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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27
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Zhang S, Liu SS, Liu Y. [Treatment of early capsular blockage syndrome with Nd:YAG laser anterior capsulotomy containing neodymium-doped yttrium aluminum garnet in a case]. Zhonghua Yan Ke Za Zhi 2024; 60:370-373. [PMID: 38583061 DOI: 10.3760/cma.j.cn112142-20230806-00025] [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: 04/08/2024]
Abstract
A 62-year-old female patient presented with no improvement in vision 10 days after undergoing cataract extraction in the right eye. The unaided visual acuity in the right eye was 0.1, and examination with a slit lamp revealed the presence of the intraocular lens with an increased gap between the intraocular lens and the posterior capsule. Anterior segment optical coherence tomography showed a distance of 3.236 mm between the posterior capsule and the posterior surface of the intraocular lens. Based on the medical history, ocular examination, and auxiliary examinations, a diagnosis of right eye capsular blockage syndrome was made. Nd:YAG laser capsulotomy was performed at the anterior capsule outside the optical zone of the intraocular lens. One week later, the posterior capsule adhered to the posterior surface of the intraocular lens, and there was a significant improvement in vision compared to before the procedure.
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Affiliation(s)
- S Zhang
- Hefei Aier Eye Hospital affiliated to Anhui Medical University, HeiFei 230031, China
| | - S S Liu
- Hefei Aier Eye Hospital affiliated to Anhui Medical University, HeiFei 230031, China
| | - Y Liu
- Hefei Aier Eye Hospital affiliated to Anhui Medical University, HeiFei 230031, China
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28
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Sun G, Liu Y, Ding H, Wu M, Van Gool L. Learning Local and Global Temporal Contexts for Video Semantic Segmentation. IEEE Trans Pattern Anal Mach Intell 2024; PP:1-15. [PMID: 38598382 DOI: 10.1109/tpami.2024.3387326] [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] [Indexed: 04/12/2024]
Abstract
Contextual information plays a core role for video semantic segmentation (VSS). This paper summarizes contexts for VSS in two-fold: local temporal contexts (LTC) which define the contexts from neighboring frames, and global temporal contexts (GTC) which represent the contexts from the whole video. As for LTC, it includes static and motional contexts, corresponding to static and moving content in neighboring frames, respectively. Previously, both static and motional contexts have been studied. However, there is no research about simultaneously learning static and motional contexts (highly complementary). Hence, we propose a Coarse-to-Fine Feature Mining (CFFM) technique to learn a unified presentation of LTC. CFFM contains two parts: Coarse-to-Fine Feature Assembling (CFFA) and Cross-frame Feature Mining (CFM). CFFA abstracts static and motional contexts, and CFM mines useful information from nearby frames to enhance target features. To further exploit more temporal contexts, we propose CFFM++ by additionally learning GTC from the whole video. Specifically, we uniformly sample certain frames from the video and extract global contextual prototypes by k-means. The information within those prototypes is mined by CFM to refine target features. Experimental results on popular benchmarks demonstrate that CFFM and CFFM++ perform favorably against state-of-the-art methods. The code is available at https://github.com/GuoleiSun/VSS-CFFM.
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Wang L, Liu X, Xin X, Wu S, Legesse TG, Zhang Y, Liu Y, Zhao Z, Cao K, Zhu X, Shao C. The greenhouse gas emissions from meat sheep production contribute double of household consumption in a Eurasian meadow steppe. Sci Total Environ 2024; 920:171014. [PMID: 38369163 DOI: 10.1016/j.scitotenv.2024.171014] [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: 09/08/2023] [Revised: 01/27/2024] [Accepted: 02/14/2024] [Indexed: 02/20/2024]
Abstract
With the rapid development of the economy, household activities have emerged as an important source of greenhouse gas (GHG) emissions, making them a crucial focal point for research in the pursuit of sustainable development and carbon emission reduction. Hulunber, as a typical steppe region in eastern Eurasia, is representative of studying the GHG emissions from household ranches, which are the basic production units in this region. In this paper, based on survey data of 2018 and 2019, we quantified and assessed GHG emissions from household ranches by combining life cycle assessment (LCA) and structural equation modeling (SEM) approaches, with LCA to define household ranches system boundary and SEM to determine the key driving factors of emissions. The results showed that GHG emissions of meat sheep live weight was 23.54 kg CO2-eq/kg. The major contributor to household GHG emissions was enteric methane (55.23 %), followed by coal use (20.80 %) and manure management systems (9.16 %), and other contributing factors (14.81 %). The SEM results indicated that the GHG emissions from household ranches were derived primarily by economic level, while the economic level was significantly affected by income. This study also found a significant positive and linear correlation between household GHG emissions and the number of meat sheep (R2 = 0.89, P < 0.001). The GHG emissions from meat sheep production (67.52 %) were double times greater than household livelihood consumption (32.48 %). These findings emphasized the importance of reducing emissions from meat sheep production and adjusting the energy mix of household livelihood, contributing to the establishment of a low-carbon household livelihood operation.
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Affiliation(s)
- Lulu Wang
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xinchao Liu
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
| | - Xiaoping Xin
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Susie Wu
- Susdatability Co. Ltd., Shenzhen, China
| | - Tsegaye Gemechu Legesse
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yaoqi Zhang
- School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36949, United States
| | - Yun Liu
- Key Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, Beijing University of Agriculture, Beijing 102206, China
| | - Zhiyuan Zhao
- Bayannur City Agriculture and Animal Husbandry Bureau, Bayannur 015000, China
| | - Kexin Cao
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiaoyu Zhu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, PR China.
| | - Changliang Shao
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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30
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Wang MF, Liu Y, Liu YT. [Comparative study on the degradation rate and regulatory effects of two resorbable collagen membranes during the in vivo implantation]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:364-373. [PMID: 38548593 DOI: 10.3760/cma.j.cn112144-20231127-00269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Objective: To explore the differences in the performance and tissue repair promotion effects of small intestinal submucosa membrane (SIS membrane) and Bio-Gide resorbable collagen membrane (Bio-Gide membrane) by performing the subcutaneous implantation models in mice. Methods: For in vivo studies, we stablished membrane implantation models using 6-8 week-old male C57BL/6 mice. The degradation rates were explored through HE staining analysis at different time points (1, 3, 5, 7, 14 and 28 d, 3 mice/group/time point). The influences of the two membranes on local macrophages and neovasculum were evaluated by immunofluorescence detection of F4/80 and CD31, and the mobilization effects of the two membranes on local stem cells were evaluated by immunohistochemical detection of Ki67 and CD146. For in vitro studies, mice periodontal ligament stem cells (mPDLSCs) were co-cultured with these two membrane materials, and the cell morphologies were observed by scanning electron microscopy. In addition, the gene expressions of Ki67, Cxcl1, Ccl1, Tnfa were investigated by real-time fluorescence quantitative PCR (RT-qPCR). Results: The results of in vivo studies showed that by day 28, there was no significant difference in degradation rate between these two membrane materials [SIS degradation rate: (16.84±4.00) %, Bio-Gide degradation rate: (24.07±3.97) %, P=0.090], illustrating that both of them could maintain the barrier effects for more than one month. In addition, there was no significant difference in the infiltration number of local F4/80 positive macrophages between these two groups by the day 3 after implantation [SIS: (20.67±5.69) cells/visual field, Bio-Gide: (25.33±2.52) cells/visual field, P=0.292]. However, compared with the Bio-Gide membrane, SIS membrane significantly promoted local CD31+vascular regeneration [SIS: (4.67±1.15) cells/visual field, Bio-Gide: (1.00±1.00) cells/visual field, P=0.015] and CD146+stem cell recruitment [SIS: (22.33±4.16) cells/visual field, Bio-Gide: (11.33±2.52) cells/visual field, P=0.025]. The RT-qPCR results also showed that SIS membrane promoted the gene expression of Cxcl1 (SIS vs Bio-Gide P<0.001) in mPDLSCs, but had no effect on the gene expression of Tnfa (SIS vs Bio-Gide P=0.885). Conclusions: SIS membrane showed a similar degradation rate compared with Bio-Gide membrane, and there was no significant difference in the effects of these two membranes on local inflammation or macrophages. Therefore, both of these membranes could meet the barrier effects required by guided tissue regeneration.
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Affiliation(s)
- M F Wang
- Department of Periodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
| | - Y Liu
- Department of Periodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
| | - Y T Liu
- Department of Periodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
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Nie W, Liu Y, Lan J, Li T, He Y, Li Z, Zhang T, Ding Y. Self-Assembled Nanoparticles from Xie-Bai-San Decoction: Isolation, Characterization and Enhancing Oral Bioavailability. Int J Nanomedicine 2024; 19:3405-3421. [PMID: 38617795 PMCID: PMC11012829 DOI: 10.2147/ijn.s449268] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/27/2024] [Indexed: 04/16/2024] Open
Abstract
Background Natural nanoparticles have been found to exist in traditional Chinese medicine (TCM) decoctions. However, whether natural nanoparticles can influence the oral bioavailability of active compounds has not been elucidated. Using Xie-Bai-San decoction (XBSD) as an example, the purpose of this study was to isolate, characterize and elucidate the mechanism of the nanoparticles (N-XBSD) in XBSD, and further to explore whether the bioavailability of the main active compounds could be enhanced by N-XBSD. Methods N-XBSD were isolated from XBSD, and investigated its characterization and study of its formation mechanism, and evaluation of its ability to enhance bioavailability of active compounds. Results The N-XBSD was successfully isolated with the average particle size of 104.53 nm, PDI of 0.27 and zeta potential of -5.14 mV. Meanwhile, all the eight active compounds were most presented in N-XBSD. Kukoamine B could self-assemble with mulberroside A or liquiritin to form nanoparticles, respectively. And the FT-IR and HRMS results indicated the possible binding of the ammonium group of kukoamine B with the phenolic hydroxyl group of mulberroside A or liquiritin, respectively. The established UPLC-MS/MS method was accurate and reliable and met the quantitative requirements. The pharmacokinetic behaviors of the N-XBSD and decoction were similar in rats. Most notably, compared to that of free drugs, the Cmax, AUC0-∞, AUC0-t, T1/2 and MRT0-∞ values of index compounds were the higher in N-XBSD, with a slower plasma clearance rate in rats. Conclusion The major active compounds of XBSD were mainly distributed in N-XBSD, and N-XBSD was formed through self-assembly among active compounds. N-XBSD could obviously promote the bioavailability of active compounds, indicating natural nanoparticles of decoctions play an important role in therapeutic effects.
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Affiliation(s)
- Wenlong Nie
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Yun Liu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Jinshuai Lan
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Ting Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Yitian He
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Zhe Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Tong Zhang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
| | - Yue Ding
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201210, People’s Republic of China
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Wu JL, Liu ZH, Ma QG, Wan YP, Dang Z, Liu Y, Liu Y. Combined collection systems of sewage and rainfall runoff seriously affect the spatial distributions of natural estrogens and their conjugates in river water: Insights from the Pearl River of China. Water Res 2024; 256:121588. [PMID: 38636120 DOI: 10.1016/j.watres.2024.121588] [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: 02/18/2024] [Revised: 03/28/2024] [Accepted: 04/07/2024] [Indexed: 04/20/2024]
Abstract
So far, little has been known about how the combined collection systems of sewage and rainfall runoff (CCSs) affect emerging contaminants in river water. To fill up the knowledge gap, this study was conducted to investigate the spatial distributions of three natural estrogens (NEs, i.e., estrone (E1), 17β-estradiol (E2) and estriol (E3)) and their conjugates (C-NEs) in the Pearl River in the wet and dry seasons. Results showed that the respective average concentrations of NEs and C-NEs at different locations alongside the Pearl River in the wet season were 7.3 and 1.8 times those in the dry season. Based on estrogen equivalence (EEQ), the average estimated EEQ level in the Pearl River waters in the wet season was nearly 10 times that in the dry season. These seemed to imply that the CCSs in the wet season not only cause untreated sewage into the receiving water body, but greatly decrease the removal efficiency of NEs and C-NEs in wastewater treatment plant. Furthermore, the estimated annual loads of E1, E2, and E3 to the Pearl River in the wet season accounted for about 88.6 %, 100 %, and 99.3 % of the total annual loads. Consequently, this work for the first time demonstrated that the CCSs in cities with high precipitation are unfavorable for controlling of emerging contaminants.
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Affiliation(s)
- Jia-Le Wu
- School of Environment and Energy, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Ze-Hua Liu
- School of Environment and Energy, South China University of Technology, Guangzhou, 510006, Guangdong, China; Key Lab Pollution Control & Ecosystem Restoration in Industry Cluster, Ministry of Education, Guangzhou 510006, Guangdong, China; Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Recycling, Guangzhou, 510006, Guangdong, China; Guangdong Provincial Engineering and Technology Research Center for Environment Risk Prevention and Emergency Disposal, South China University of Technology, Guangzhou, 510006, Guangdong, China.
| | - Qing-Guang Ma
- School of Environment and Energy, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Yi-Ping Wan
- School of Environment and Energy, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Zhi Dang
- Key Lab Pollution Control & Ecosystem Restoration in Industry Cluster, Ministry of Education, Guangzhou 510006, Guangdong, China
| | - Yun Liu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510655, China
| | - Yu Liu
- Engineering Laboratory of Low-Carbon Unconventional Water Resources Utilization and Water Quality Assurance, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
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Xu J, Wang Q, Yang K, Wen L, Wang T, Lin D, Liu J, Zhou J, Liu Y, Dong Y, Cao C, Li S, Zhou X. [High-quality acceleration of the Chinese national schistosomiasis elimination programme to advance the building of Healthy China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 36:1-6. [PMID: 38604678 DOI: 10.16250/j.32.1374.2024051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
The goal of achieving elimination of schistosomiasis across all endemic counties in China by 2030 was proposed in the Outline of the Healthy China 2030 Plan. On June 16, 2023, the Action Plan to Accelerate the Elimination of Schistosomiasis in China (2023-2030) was jointly issued by National Disease Control and Prevention Administration and other 10 ministries, which deployed the targets and key tasks of the national schistosomiasis elimination programme in China. This article describes the progress of the national schistosomiasis control programme, analyzes the opportunities to eliminate schistosomiasis, and proposes targeted recommendations to tackle the challenges of schistosomiasis elimination, so as to accelerate the process towards schistosomiasis elimination and facilitate the building of a healthy China.
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Affiliation(s)
- J Xu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Q Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - K Yang
- Jiangsu Institute of Parasitic Diseases, China
| | - L Wen
- Zhejiang Center for Schistosomiasis Control, China
| | - T Wang
- Anhui Institute for Schistosomiasis Control, China
| | - D Lin
- Jiangxi Institute of Parasitic Disease, China
| | - J Liu
- Hubei Center for Disease Control and Prevention, China
| | - J Zhou
- Hunan Provincial Bureau of Disease Control and Prevention, China
| | - Y Liu
- Sichuan Center for Disease Control and Prevention, China
| | - Y Dong
- Yunnan Institute for Endemic Disease Control, China
| | - C Cao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - S Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - X Zhou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Liu Y, Tong H, He F, Zhai Y, Wu C, Wang J, Jiang C. Corrigendum: Effect of intravenous immunoglobulin therapy on the prognosis of patients with severe fever with thrombocytopenia syndrome and neurological complications. Front Immunol 2024; 15:1383797. [PMID: 38646537 PMCID: PMC11027428 DOI: 10.3389/fimmu.2024.1383797] [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: 02/08/2024] [Accepted: 03/25/2024] [Indexed: 04/23/2024] Open
Abstract
[This corrects the article DOI: 10.3389/fimmu.2023.1118039.].
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Affiliation(s)
- Yun Liu
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Hanwen Tong
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Fei He
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yu Zhai
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Chao Wu
- Department of Infectious Disease, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jun Wang
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Chenxiao Jiang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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Ablikim M, Achasov MN, Adlarson P, 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, Bloms J, 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 SX, Duan ZH, Egorov P, 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, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Hou XT, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, 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, Irshad M, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kui X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Khoukaz A, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuessner MK, Kupsc A, Kühn W, Lane JJ, Lange JS, 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 K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Li ZX, Li ZY, Liang C, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, 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 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, Maldaner S, Malde S, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, 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 B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WH, 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 UW, 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 H, 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, 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, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, 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 XY, 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. Study of the f_{0}(980) and f_{0}(500) Scalar Mesons through the Decay D_{s}^{+}→π^{+}π^{-}e^{+}ν_{e}. Phys Rev Lett 2024; 132:141901. [PMID: 38640399 DOI: 10.1103/physrevlett.132.141901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 11/29/2023] [Accepted: 02/28/2024] [Indexed: 04/21/2024]
Abstract
Using e^{+}e^{-} collision data corresponding to an integrated luminosity of 7.33 fb^{-1} recorded by the BESIII detector at center-of-mass energies between 4.128 and 4.226 GeV, we present an analysis of the decay D_{s}^{+}→π^{+}π^{-}e^{+}ν_{e}, where the D_{s}^{+} is produced via the process e^{+}e^{-}→D_{s}^{*±}D_{s}^{∓}. We observe the f_{0}(980) in the π^{+}π^{-} system and the branching fraction of the decay D_{s}^{+}→f_{0}(980)e^{+}ν_{e} with f_{0}(980)→π^{+}π^{-} measured to be (1.72±0.13_{stat}±0.10_{syst})×10^{-3}, where the uncertainties are statistical and systematic, respectively. The dynamics of the D_{s}^{+}→f_{0}(980)e^{+}ν_{e} decay are studied with the simple pole parametrization of the hadronic form factor and the Flatté formula describing the f_{0}(980) in the differential decay rate, and the product of the form factor f_{+}^{f_{0}}(0) and the c→s Cabibbo-Kobayashi-Maskawa matrix element |V_{cs}| is determined for the first time to be f_{+}^{f_{0}}(0)|V_{cs}|=0.504±0.017_{stat}±0.035_{syst}. Furthermore, the decay D_{s}^{+}→f_{0}(500)e^{+}ν_{e} is searched for the first time but no signal is found. The upper limit on the branching fraction of D_{s}^{+}→f_{0}(500)e^{+}ν_{e}, f_{0}(500)→π^{+}π^{-} decay is set to be 3.3×10^{-4} at 90% confidence level.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - 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
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - 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
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Ding
- Liaoning University, Shenyang 110036, 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
| | - 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 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
| | - Y T Gu
- Guangxi University, Nanning 530004, 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
| | - 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
| | - 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
| | - 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
| | - 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
| | - M Irshad
- 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 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
| | - 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
| | - 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 Kui
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, 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
| | - L Koch
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- 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
| | - J S Lange
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - 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
| | - 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
| | - 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
| | - Z X Li
- Guangxi University, Nanning 530004, People's Republic of China
| | - Z Y 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
- 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
| | - 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
| | - 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
| | - 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
| | - D Liu
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
- University of Science and Technology of China, Hefei 230026, 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 B Liu
- Guangxi University, Nanning 530004, 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 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 Maldaner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - 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
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - 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
- G.I. 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, 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
| | - 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
| | - 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 H Wang
- Wuhan University, Wuhan 430072, 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 W 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
| | - H Xiao
- Fudan University, Shanghai 200433, 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
| | - 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 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 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
| | - 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
| | - X Y Zhang
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y Zhang
- University of South China, Hengyang 421001, People's Republic of China
| | - 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
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, 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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Liu Y, Wu YH, Zhang SC, Liu L, Wu M, Cheng MM. Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans Pattern Anal Mach Intell 2024; 46:2316-2332. [PMID: 37934644 DOI: 10.1109/tpami.2023.3330825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Tuberculosis (TB) is a major global health threat, causing millions of deaths annually. Although early diagnosis and treatment can greatly improve the chances of survival, it remains a major challenge, especially in developing countries. Recently, computer-aided tuberculosis diagnosis (CTD) using deep learning has shown promise, but progress is hindered by limited training data. To address this, we establish a large-scale dataset, namely the Tuberculosis X-ray (TBX11 K) dataset, which contains 11 200 chest X-ray (CXR) images with corresponding bounding box annotations for TB areas. This dataset enables the training of sophisticated detectors for high-quality CTD. Furthermore, we propose a strong baseline, SymFormer, for simultaneous CXR image classification and TB infection area detection. SymFormer incorporates Symmetric Search Attention (SymAttention) to tackle the bilateral symmetry property of CXR images for learning discriminative features. Since CXR images may not strictly adhere to the bilateral symmetry property, we also propose Symmetric Positional Encoding (SPE) to facilitate SymAttention through feature recalibration. To promote future research on CTD, we build a benchmark by introducing evaluation metrics, evaluating baseline models reformed from existing detectors, and running an online challenge. Experiments show that SymFormer achieves state-of-the-art performance on the TBX11 K dataset.
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Xie P, Wang L, Zhu J, Liu Y, Wei M, Gong D, Liu T. Effects of different stocking densities on the development of reproductive and immune functions in young breeder pigeons during the rearing period. Br Poult Sci 2024; 65:213-222. [PMID: 38334444 DOI: 10.1080/00071668.2024.2308273] [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: 08/01/2023] [Accepted: 11/05/2023] [Indexed: 02/10/2024]
Abstract
1. Stocking density (SD) is closely related to animal performance. This experiment was designed to evaluate the development of reproductive and immune functions of young pigeons under different SDs.2. A total of 288 (half male and half female) 40-day-old pigeons (body weight 400 ± 15 g) were allocated into four groups: High stocking density (HSD; 0.308 m3/bird), standard stocking density (SD; 0.616 m3/bird), and low stocking density (LSD; 1.232 m3/bird) and a caged (control; 0.04125 m3/bird). Every group had six replicates of the same sex.3. The results showed that caged male pigeons had the highest testis index, testosterone content, and gene expression of the androgen receptor gene. LSD treatment induced the highest concentrations of oestradiol, progesterone and mRNA levels of reproductive hormone receptor genes in female pigeons. In male pigeons, the spleen index (organ weight calculated as a percentage of total body weight) showed a peak level (0.09 ± 0.020) in the LSD group, and the thymus index peaked (0.23 ± 0.039) in SD group. However, the index for ovary, spleen, thymus and bursa of Fabricius in female pigeons showed no significant changes among different groups.4. The IL-1β, IL-8, IFN-γ, TGF-β and toll-like receptor 2 (TLR-2) mRNA levels reached their maximum values in both male and female pigeon spleens in the LSD group.5. Young male pigeons housed in cages showed increased testicular development while low stocking density increased the development of reproductive function in young female pigeons. A larger activity space could help enhance the immune function of both male and female pigeons.
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Affiliation(s)
- P Xie
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environmental Protection, Huaiyin Normal University, Huaian, China
| | - L Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - J Zhu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Y Liu
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environmental Protection, Huaiyin Normal University, Huaian, China
| | - M Wei
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environmental Protection, Huaiyin Normal University, Huaian, China
| | - D Gong
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - T Liu
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environmental Protection, Huaiyin Normal University, Huaian, China
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Lang O, Yaya-Stupp D, Traynis I, Cole-Lewis H, Bennett CR, Lyles CR, Lau C, Irani M, Semturs C, Webster DR, Corrado GS, Hassidim A, Matias Y, Liu Y, Hammel N, Babenko B. Using generative AI to investigate medical imagery models and datasets. EBioMedicine 2024; 102:105075. [PMID: 38565004 PMCID: PMC10993140 DOI: 10.1016/j.ebiom.2024.105075] [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: 07/05/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND AI models have shown promise in performing many medical imaging tasks. However, our ability to explain what signals these models have learned is severely lacking. Explanations are needed in order to increase the trust of doctors in AI-based models, especially in domains where AI prediction capabilities surpass those of humans. Moreover, such explanations could enable novel scientific discovery by uncovering signals in the data that aren't yet known to experts. METHODS In this paper, we present a workflow for generating hypotheses to understand which visual signals in images are correlated with a classification model's predictions for a given task. This approach leverages an automatic visual explanation algorithm followed by interdisciplinary expert review. We propose the following 4 steps: (i) Train a classifier to perform a given task to assess whether the imagery indeed contains signals relevant to the task; (ii) Train a StyleGAN-based image generator with an architecture that enables guidance by the classifier ("StylEx"); (iii) Automatically detect, extract, and visualize the top visual attributes that the classifier is sensitive towards. For visualization, we independently modify each of these attributes to generate counterfactual visualizations for a set of images (i.e., what the image would look like with the attribute increased or decreased); (iv) Formulate hypotheses for the underlying mechanisms, to stimulate future research. Specifically, present the discovered attributes and corresponding counterfactual visualizations to an interdisciplinary panel of experts so that hypotheses can account for social and structural determinants of health (e.g., whether the attributes correspond to known patho-physiological or socio-cultural phenomena, or could be novel discoveries). FINDINGS To demonstrate the broad applicability of our approach, we present results on eight prediction tasks across three medical imaging modalities-retinal fundus photographs, external eye photographs, and chest radiographs. We showcase examples where many of the automatically-learned attributes clearly capture clinically known features (e.g., types of cataract, enlarged heart), and demonstrate automatically-learned confounders that arise from factors beyond physiological mechanisms (e.g., chest X-ray underexposure is correlated with the classifier predicting abnormality, and eye makeup is correlated with the classifier predicting low hemoglobin levels). We further show that our method reveals a number of physiologically plausible, previously-unknown attributes based on the literature (e.g., differences in the fundus associated with self-reported sex, which were previously unknown). INTERPRETATION Our approach enables hypotheses generation via attribute visualizations and has the potential to enable researchers to better understand, improve their assessment, and extract new knowledge from AI-based models, as well as debug and design better datasets. Though not designed to infer causality, importantly, we highlight that attributes generated by our framework can capture phenomena beyond physiology or pathophysiology, reflecting the real world nature of healthcare delivery and socio-cultural factors, and hence interdisciplinary perspectives are critical in these investigations. Finally, we will release code to help researchers train their own StylEx models and analyze their predictive tasks of interest, and use the methodology presented in this paper for responsible interpretation of the revealed attributes. FUNDING Google.
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Affiliation(s)
| | | | - Ilana Traynis
- Work Done at Google Via Advanced Clinical, Deerfield, IL, USA
| | | | | | - Courtney R Lyles
- Google, Mountain View, CA, USA; University of California San Francisco, Department of Medicine, San Francisco, CA, USA
| | | | | | | | | | | | | | | | - Yun Liu
- Google, Mountain View, CA, USA
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Liu Y, Ruan X, Wang X, Yu WL, Zhang YJ. [Can laparoscopic surgery be the preferred strategy for gallbladder cancer?]. Zhonghua Wai Ke Za Zhi 2024; 62:273-277. [PMID: 38432667 DOI: 10.3760/cma.j.cn112139-20231227-00307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Gallbladder cancer, notoriously known for its high malignancy, predominantly requires radical surgery as the treatment of choice. Although laparoscopic techniques have become increasingly prevalent in abdominal surgeries in recent years, the progress of laparoscopic techniques in gallbladder cancer is relatively slow. Due to the anatomical complexity, technical difficulty, and biological features of gallbladder cancer that is prone to metastasis and dissemination, traditional open surgery is still the main surgical approach. This study aims to reappraisal the current state of laparoscopic surgery for gallbladder cancer by appraising clinical practice and research evidence. Laparoscopic surgery for various stages of gallbladder cancer, including early, advanced, incidental, and unresectable gallbladder cancer were discussed. The promise and limitations of laparoscopic techniques are systematically explored.
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Affiliation(s)
- Y Liu
- Second Department of Biliary Surgery,the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
| | - X Ruan
- Second Department of Biliary Surgery,the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
| | - X Wang
- Second Department of Biliary Surgery,the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
| | - W L Yu
- Second Department of Biliary Surgery,the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
| | - Y J Zhang
- Second Department of Biliary Surgery,the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
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40
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Chen MH, Liu JC, Liu Y, Hu YC, Cai XF, Yin DC. Retraction Note: MicroRNA-199a regulates myocardial fibrosis in rats by targeting SFRP5. Eur Rev Med Pharmacol Sci 2024; 28:2631. [PMID: 38639499 DOI: 10.26355/eurrev_202404_35935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
The article "MicroRNA-199a regulates myocardial fibrosis in rats by targeting SFRP5", by M.-H. Chen, J.-C. Liu, Y. Liu, Y.-C. Hu, X.-F. Cai, D.-C. Yin, published in Eur Rev Med Pharmacol Sci 2019; 23 (9): 3976-3983-DOI: 10.26355/eurrev_201905_17827-PMID: 31115026 has been retracted by the authors. This paper has been questioned on PubPeer (https://pubpeer.com/publications/6417BECD38A43595A89D977A1CBDF8). In particular, concerns were raised about Figures 2C and 4C, potentially showing three panels with overlapping details of a single image. The corresponding author states they used the wrong figure during manuscript drafting, which led to picture reuse. For this reason, the authors decided to withdraw the manuscript. This article has been retracted. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/17827.
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Affiliation(s)
- M-H Chen
- Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
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Yang J, Lv M, Han L, Li Y, Liu Y, Guo H, Feng H, Wu Y, Zhong J. Evaluation of brain iron deposition in different cerebral arteries of acute ischaemic stroke patients using quantitative susceptibility mapping. Clin Radiol 2024; 79:e592-e598. [PMID: 38320942 DOI: 10.1016/j.crad.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 12/05/2023] [Accepted: 01/03/2024] [Indexed: 02/08/2024]
Abstract
AIM To investigate differences in iron deposition between infarct and normal cerebral arterial regions in acute ischaemic stroke (AIS) patients using quantitative susceptibility mapping (QSM). MATERIALS AND METHODS Forty healthy controls and 40 AIS patients were recruited, and their QSM images were obtained. There were seven regions of interest (ROIs) in AIS patients, including the infarct regions of responsible arteries (R1), the non-infarct regions of responsible arteries (R2), the contralateral symmetrical sites of lesions (R3), and the non-responsible cerebral arterial regions (R4, R5, R6, R7). For the healthy controls, the cerebral arterial regions corresponding to the AIS patient group were selected as ROIs. The differences in corresponding ROI susceptibilities between AIS patients and healthy controls and the differences in susceptibilities between infarcted and non-infarct regions in AIS patients were compared. RESULTS The susceptibilities of infarct regions in AIS patients were significantly higher than those in healthy controls (p<0.0001). There was no significant difference in non-infarct regions between the two groups (p>0.05). The susceptibility of the infarct regions in AIS patients was significantly higher than those of the non-infarct region of responsible artery and non-responsible cerebral arterial regions (p<0.01). CONCLUSIONS Abnormal iron deposition detected by QSM in the infarct regions of AIS patients may not affect iron levels in the non-infarct regions of responsible arteries and normal cerebral arteries, which may open the door for potential new diagnostic and treatment strategies.
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Affiliation(s)
- J Yang
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - M Lv
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - L Han
- North Sichuan Medical College, Nanchong, China
| | - Y Li
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - Y Liu
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - H Guo
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - H Feng
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - Y Wu
- MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, China
| | - J Zhong
- Department of Radiology, Zigong First People's Hospital, Zigong, China.
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Ru P, Ni X, Xu W, Liu Y, Meng L, Yuan W, Gu Z, Shi J, Su X, Liu M, Duan T. Perinatal outcomes in patients undergoing repeat cerclage: A retrospective case series study. Int J Gynaecol Obstet 2024; 165:343-349. [PMID: 37899709 DOI: 10.1002/ijgo.15210] [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: 08/01/2023] [Revised: 10/01/2023] [Accepted: 10/08/2023] [Indexed: 10/31/2023]
Abstract
OBJECTIVE This study aimed to describe the pregnancy outcomes of a case series of patients with probable cerclage failure who received repeat cerclage (RC) with potential indications. METHODS We retrospectively collected a case series of 55 singleton pregnancies with RC from 2019 to 2022 in Shanghai, China. All included women provided written informed consent, and the study was approved by the ethics committees of the two hospitals. We compared pregnancy outcomes between pregnancies with RC for different indications. RESULTS Among the case series, nine patients underwent RC for the indication of protruding membranes below the previous suture loop (group A), and the other 46 patients for painless cervix dilation (group B). Gestational age at delivery was shorter in group B than in group A (30.7 vs 37.6 weeks, P = 0.009). Rates of preterm birth <32 weeks (63.0% vs 22.2%, P = 0.033) and < 37 weeks (76.1% vs 33.3%, P = 0.002) were significantly higher in group B than in group A. Of the 46 patients who underwent RC for painless cervical dilation, 28 had cervical dilation of 1 to 2 cm (group C) and the other 18 had cervical dilation of 3 to 6 cm (group D). The gestational age at delivery was shorter in group D than in group C (27.4 vs 31.5 weeks, P = 0.037). However, rates of preterm birth <32 or <37 weeks were similar between the groups. CONCLUSION RC may constitute a rescue strategy for patients with probable cerclage failure. Protrusion of membranes below the cerclage loop or cervical dilation <3 cm may be an indicator of better pregnancy outcome.
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Affiliation(s)
- Ping Ru
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaotian Ni
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wenyi Xu
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yun Liu
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lulu Meng
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wenjun Yuan
- Department of Obstetrics and Gynecology, Shanghai Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhuorong Gu
- Department of Obstetrics and Gynecology, Shanghai Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Junyao Shi
- Shanghai Pudong Center for Women and Children's Health, Shanghai, China
| | - Xiujuan Su
- Clinical Research Center, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ming Liu
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Tao Duan
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
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He H, Wang Z, Xu J, Liu Y, Shao Y, Hou Y, Gu J, Hu R, Xing G. Clinicopathological characteristics and prognosis in patients with monoclonal gammopathy and renal damage in central China: a multicenter retrospective cohort study. Sci Rep 2024; 14:7667. [PMID: 38561447 PMCID: PMC10984969 DOI: 10.1038/s41598-024-58467-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/29/2024] [Indexed: 04/04/2024] Open
Abstract
Renal involvement is common in monoclonal gammopathy (MG); however, the same patient may have both MG and non-paraprotein-associated renal damage. Accordingly, distinguishing the cause of renal damage is necessary because of the different clinical characteristics and associated treatments. In this multicenter retrospective cohort study, we described the clinicopathological characteristics and prognosis of 703 patients with MG and renal damage in central China. Patients were classified as having MG of renal significance (MGRS), MG of undetermined significance (MGUS), or hematological malignancy. 260 (36.98%), 259 (36.84%), and 184 (26.17%) had MGRS, MGUS, and hematological malignancies, respectively. Amyloidosis was the leading pattern of MGRS (74.23%), followed by thrombotic microangiopathy (8.85%) and monoclonal immunoglobulin deposition disease (8.46%). Membranous nephropathy was the leading diagnosis of MGUS (39.38%). Renal pathological findings of patients with hematological malignancies included paraprotein-associated lesions (84.78%) and non-paraprotein-associated lesions (15.22%). The presence of nephrotic syndrome and an abnormal free light chain (FLC) ratio were independently associated with MGRS. The overall survival was better in patients with MGUS than in those with MGRS or hematological malignancies.
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Affiliation(s)
- Huimin He
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zheng Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiayun Xu
- Department of Nephrology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan, China
| | - Yun Liu
- Department of Nephrology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Yeqing Shao
- Department of Nephrology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan, China
| | - Yulong Hou
- Department of Nephrology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Jinping Gu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ruimin Hu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Guolan Xing
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
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Liu Y, Xin Z, Tian L, Villa-Gomez D, Wang W, Cao Y. Fabrication of peptide-encapsulated sodium alginate hydrogel for selective gallium adsorption. Int J Biol Macromol 2024; 263:130436. [PMID: 38408578 DOI: 10.1016/j.ijbiomac.2024.130436] [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: 11/25/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 02/28/2024]
Abstract
Peptides are recognized as promising adsorbents in metal selective recovery. In this study, the designed gallium-binding peptide H6GaBP was immobilized by the polysaccharide polymer sodium alginate (SA) for gallium recovery. The synthesized H6GaBP@SA microspheres exhibited a maximum adsorption capacity of 127.4 mg/g and demonstrated high selectivity for gallium at lower pH values. The adsorption process aligned well with the pseudo-second-order equation and Langmuir model. To elucidate the adsorption mechanism, a comprehensive characterization including molecular docking, scanning electron microscope coupled with energy-dispersive X-ray spectroscopy (SEM-EDS), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS) and thermogravimetry analysis (TGA), were conducted. These analyses revealed that gallium ions were initially adsorbed through electrostatic interaction by H6GaBP@SA, followed by a cation exchange reaction between Ga(OH)2+ and Ca2+, as well as coordination between gallium and histidine residues on the peptide. Moreover, the H6GaBP@SA exhibited improved thermal stability compared to sole sodium alginate microspheres, and the coordination of gallium with peptides can also defer the decomposition rate of the adsorbents. Compared to other adsorbents, the peptide-encapsulated hydrogel microspheres exhibited superior gallium selectivity and improved adsorption capacity, offering an environmentally friendly option for gallium recovery.
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Affiliation(s)
- Yun Liu
- Zhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China; School of Chemical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China; The Key Lab of Critical Metals Minerals Supernormal Enrichment and Extraction, Ministry of Education, Zhengzhou, Henan 450001, China
| | - Zhiwei Xin
- School of Chemical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Lei Tian
- School of Chemical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Denys Villa-Gomez
- School of Civil Engineering, The University of Queensland, 4072 QLD, Australia; Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, 4072 QLD, Australia
| | - Wei Wang
- Zhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China; School of Chemical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China; The Key Lab of Critical Metals Minerals Supernormal Enrichment and Extraction, Ministry of Education, Zhengzhou, Henan 450001, China.
| | - Yijun Cao
- Zhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China; School of Chemical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China; The Key Lab of Critical Metals Minerals Supernormal Enrichment and Extraction, Ministry of Education, Zhengzhou, Henan 450001, China.
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Yang Y, Li L, Yan T, Hua J, Li S, Liu Y, Yu S, Zhang H, Tang S, Xue Z, Zhang X, Zheng C. Evaluation of Safety and Efficacy of Amniotic Mesenchymal Stem Cells for POI in Animals. Reprod Sci 2024; 31:1159-1169. [PMID: 38097900 DOI: 10.1007/s43032-023-01417-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/27/2023] [Indexed: 03/24/2024]
Abstract
The efficacy of human amniotic mesenchymal stem cell (hAMSC) ovarian injection in improving ovarian function in primary ovarian insufficiency (POI) patients has been shown in some reports. However, the safety and efficacy of hAMSC vein injection remains unclear. In this study, we evaluated the safety and efficacy of hAMSC intravenous injection in cynomolgus macaques and SD rats and provided evidence for clinical trials. The hAMSCs were transplanted three times in SD rats at low, medium, and high doses. The animal behavior and biochemical and biophysical parameters were routinely monitored on a 2-month period posttransplantation, and histopathologic examinations were also performed. Experiments on the acute toxicity, allergy test, and hemolysis test showed that hAMSCs possess good biocompatibility. Our results showed that the maximum tolerated dose of hAMSCs in SD rats was 4.0 × 107 cells/kg. The maximum safe dose with three injections of hAMSCs in SD rats was 5.0 × 106 cells/kg. In addition, the results demonstrated that hAMSCs may restore POI rat ovarian function after two injections of 2.5 × 106 cells/kg or 5.0 × 106 cells/kg, which improved the disturbed estrous cycle, hormone levels, and ovarian lesions induced by pZP3. In conclusion, the preclinical results suggested that the transplantation of hAMSCs may be safe and efficacious for SD rats at doses of 5.0 × 106 cells/kg and lower.
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Affiliation(s)
- Yuan Yang
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
| | - Li Li
- Changsha Health Vocational College, Changsha, 410100, Hunan, China
| | - Tenglong Yan
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
| | - Jiangzhou Hua
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
| | - Shiping Li
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
| | - Yun Liu
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
| | - Sijie Yu
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
| | | | - Shihuan Tang
- Loudi Central Hospital, Loudi, 417000, Hunan, China
| | - Zhigang Xue
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China
- Department of Regenerative Medicine, Translational Center for Stem Cell Research, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | | | - Chunbing Zheng
- Hunan Yuanpin Cell Technology Co. Ltd. (Yuanpin Biotech), Changsha, 410100, Hunan, China.
- Changsha Institute of Industrial Technology for Stem Cell and Regenerative Medicine, Changsha, 410100, China.
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46
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Liu K, Liu Y, Li X, Wang S, Wang X, Zhang Z, Gao X. Erratum: In Vivo Calcium Imaging of Dorsal Root Ganglia Neurons' Response to Somatic and Visceral Stimuli. J Vis Exp 2024. [PMID: 38557944 DOI: 10.3791/6596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
This corrects the article 10.3791/65975.
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Affiliation(s)
- Kun Liu
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
| | - Yun Liu
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
| | - Xia Li
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
| | - Shuya Wang
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
| | - Xiaoxi Wang
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
| | - Zhiyun Zhang
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
| | - Xinyan Gao
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences;
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Zuo Y, Ning N, Qiao GC, Wu JH, Bao JH, Zhang XY, Bai J, Wu FH, Liu Y, Yu Q, Hu SG. Floating-Point Approximation Enabling Cost-Effective and High-Precision Digital Implementation of FitzHugh-Nagumo Neural Networks. IEEE Trans Biomed Circuits Syst 2024; 18:347-360. [PMID: 37878421 DOI: 10.1109/tbcas.2023.3327496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
The study of neuron interactions and hardware implementations are crucial research directions in neuroscience, particularly in developing large-scale biological neural networks. The FitzHugh-Nagumo (FHN) model is a popular neuron model with highly biological plausibility, but its complexity makes it difficult to apply at scale. This paper presents a cost-saving and improved precision approximation algorithm for the digital implementation of the FHN model. By converting the computational data into floating-point numbers, the original multiplication calculations are replaced by adding the floating-point exponent part and fitting the mantissa part with piecewise linear. In the hardware implementation, shifters and adders are used, greatly reducing resource overhead. Implementing FHN neurons by this approximation calculations on FPGA reduces the normalized root mean square error (RMSE) to 3.5% of the state-of-the-art (SOTA) while maintaining a performance overhead ratio improvement of 1.09 times. Compared to implementations based on approximate multipliers, the proposed method achieves a 20% reduction in error at the cost of a 2.8% increase in overhead.This model gained additional biological properties compared to LIF while reducing the deployment scale by only 9%. Furthermore, the hardware implementation of nine coupled circular networks with eight nodes and directional diffusion was carried out to demonstrate the algorithm's effectiveness on neural networks. The error decreased to 60% compared to the single neuron of the SOTA. This hardware-friendly algorithm allows for the low-cost implementation of high-precision hardware simulation, providing a novel perspective for studying large-scale, biologically plausible neural networks.
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48
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Chen MF, Zhang JF, Ren XL, Liu Y, Huang L. [Retrospective analysis of perioperative anaphylactic shock induced by cefuroxime]. Zhonghua Nei Ke Za Zhi 2024; 63:406-411. [PMID: 38561287 DOI: 10.3760/cma.j.cn112138-20231103-00293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
This study investigated the characteristics and frequency of perioperative anaphylactic shock induced by cefuroxime, so as to provide a reference for the safe and rational use of cefuroxime in the perioperative period. Cases of perioperative anaphylactic shock caused by cefuroxime in our hospital from 2011 to 2021 were extracted from the Adverse Drug Reaction Monitoring System. Literature reporting adverse drug reactions (ADR) including cefuroxime-induced anaphylactic shock in perioperative settings was collected from the CNKI, VIP, Wanfang, PubMed, and Web of Science databases from their respective inception to May 2022. Statistical analysis was performed for all cases of cefuroxime-induced perioperative anaphylactic shock. A total of 31 patients were included [13 men (48.1%) and 14 women (51.9%)], most of whom were over 60 years old (n=16, 59.3%); 9 (29.0%) patients had a history of drug allergy; 5 (16.1%) patients had received skin tests, but with negative results; 28 (90.3%) patients received treatment intravenously; 22 (71.0%) patients were treated after anesthesia. For 20 (64.5%) patients the ADR occurred within 10 minutes after anesthesia. The main manifestations were hypotension, dyspnea, rash, and tachycardia. For all patients, symptoms resolved after withdrawal of the drug and active rescue, and there were no deaths. A history of allergy and skin test findings may have limitations in predicting perioperative anaphylactic shock caused by cefuroxime; greater vigilance should be exercised when using cefuroxime in the perioperative period. Close monitoring is recommended for patients undergoing treatment with cefuroxime. Rescue therapy should be administered for allergic shock, and suitable response measures must be taken in a timely manner to ensure the safety of patients.
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Affiliation(s)
- M F Chen
- Department of Infectious Disease, Peking University People's Hospital, Beijing 100044,China
| | - J F Zhang
- Department of Pharmacy, Peking University People's Hospital, Beijing 100044, China Department of Pharmacy, Tongliao Hospital, Tongliao 028000, China
| | - X L Ren
- Department of Pharmacy, Peking University People's Hospital, Beijing 100044, China
| | - Y Liu
- Department of Pharmacy, Peking University People's Hospital, Beijing 100044, China
| | - L Huang
- Department of Pharmacy, Peking University People's Hospital, Beijing 100044, China
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Shan CQ, Liu QC, Li J, Liu E, Li C, Yu HM, Jiang GT, Liu Y, Tian J. Expression of chicken epidermal growth factor (cEGF) in Escherichia coli regulates the microflora structure of the duodenum to improve growth performance and intestinal morphogenesis in broilers. Br Poult Sci 2024; 65:179-190. [PMID: 38372614 DOI: 10.1080/00071668.2024.2308274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/22/2023] [Indexed: 02/20/2024]
Abstract
1. A study used gene synthesis to obtain the functional domains of chicken epidermal growth factor (cEGF) and examined their impact on broiler growth performance, small intestinal morphology, digestive enzyme activities in the intestinal contents and the structure of duodenal microflora.2. The pET-32a-cEGF recombinant expression vector was constructed. The specific band at 26 KDa was shown by SDS-PAGE analysis and WB results. The purified protein content was shown to be 1687 μg/ml by assay.3. A total of 180 healthy, one-day-old Arbor Acres male, white-feathered broilers were randomly divided into three dietary treatment groups (six replicate pens, 10 birds per replicate): A control diet (ND); cEGF diet (cEGF), control supplemented with 250 mg/kg cEGF and the control diet (CD) supplemented with 250 mg/kg chlortetracycline.4. The results showed that feeding the cEGF and CD diet reduced FCR of broilers aged 1-21 d, average daily feed intake (ADFI) at 22-42 d, and the FCR in the whole period (1-42 d; p < 0.05). Compared with the ND group, the cEGF diet increased duodenal α-amylase and alkaline phosphatase activities in the 1-21 d, duodenal lipase, alkaline phosphatase, and ileal alkaline phosphatase activities in the post-period and increased villus height in the duodenum and ileum (p < 0.05). In addition, the ACE and Chao1 index for the birds fed cEGF were higher than the ND group (p < 0.05). At the phyla level, Firmicutes and Proteobacteria were dominant in all groups. At the genus level, the dominant genus was Lactobacillus. The LEfSe analysis showed that the cEGF group was enriched by 11 species including Brevibacillus, Eisenbergiella, Cloacibacterium, Butyricoccus spp.5. The addition of 250 mg/kg cEGF to the diet can increase growth performance by improving intestinal development and digestive enzyme activity, which may be related to the duodenal intestinal microflora. Therefore, cEGF is an effective alternative to antibiotics in broiler farming.
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Affiliation(s)
- C Q Shan
- School of Biological Engineering, Dalian Polytechnic University, Dalian, China
| | - Q C Liu
- Dalian Sanyi Bioengineering Research Institute, Dalian Pharmaceutical Sanyi Drugs Co Ltd, Dalian, Liaoning, China
| | - J Li
- Dalian Sanyi Bioengineering Research Institute, Dalian Pharmaceutical Sanyi Drugs Co Ltd, Dalian, Liaoning, China
| | - E Liu
- Research Quality Control Centre, Jiangsu Sanyi Bioengineering Co Ltd, Xuzhou, Jiangsu, China
| | - C Li
- Research Quality Control Centre, Jiangsu Sanyi Bioengineering Co Ltd, Xuzhou, Jiangsu, China
| | - H M Yu
- Dalian Sanyi Bioengineering Research Institute, Dalian Pharmaceutical Sanyi Drugs Co Ltd, Dalian, Liaoning, China
| | - G T Jiang
- Dalian Sanyi Bioengineering Research Institute, Dalian Pharmaceutical Sanyi Drugs Co Ltd, Dalian, Liaoning, China
| | - Y Liu
- Dalian Sanyi Bioengineering Research Institute, Dalian Pharmaceutical Sanyi Drugs Co Ltd, Dalian, Liaoning, China
| | - J Tian
- School of Biological Engineering, Dalian Polytechnic University, Dalian, China
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50
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Li R, Shi G, Chen L, Liu Y. Polysaccharides extraction from Ganoderma lucidum using a ternary deep eutectic solvents of choline chloride/guaiacol/lactic acid. Int J Biol Macromol 2024; 263:130263. [PMID: 38368996 DOI: 10.1016/j.ijbiomac.2024.130263] [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: 11/30/2023] [Revised: 01/17/2024] [Accepted: 02/15/2024] [Indexed: 02/20/2024]
Abstract
In this study, a purposefully formulated ternary deep eutectic solvents (DESs), consisting of choline chloride, guaiacol, and lactic acid in a molar ratio of 1:1:1, was synthesized for the extraction of polysaccharides from Ganoderma lucidum. The physicochemical properties of the synthesized DESs, including viscosity, density, pH, and hydrogen bonds, were comprehensively examined. Verification of the formation of the ternary DESs was accomplished through Fourier transform infrared and Nuclear magnetic resonance spectroscopies. Subsequently, response surface methodology was applied to optimize crucial parameters for polysaccharide extraction using DESs, resulting in a maximal extraction yield of 94.72 mg/g under the optimized conditions. Cyclic experiments demonstrated the commendable cyclic stability of the DESs, with a recovery rate exceeding 88 %. Furthermore, experiments on monosaccharide composition, molecular weight, and antioxidant activity of the isolated polysaccharides were conducted. Density functional theory was employed to gain insights into the molecular mechanism of polysaccharide extraction by DESs. The findings revealed a triple hydrogen bond interaction and a high binding energy (65.29 kcal/mol) between the DESs and glucose, highlighting their significant contribution to the high extraction effectiveness. This molecular-level understanding underscores the inherent superiority of DESs in the polysaccharide extraction processes, providing valuable insights for future applications in this field.
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Affiliation(s)
- Rongji Li
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Guangyuan Shi
- College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Lichuan Chen
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, China
| | - Yun Liu
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
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