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West-Szymanski DC, Zhang Z, Cui XL, Kowitwanich K, Gao L, Deng Z, Dougherty U, Williams C, Merkle S, Moore M, He C, Bissonnette M, Zhang W. Machine learning identifies cell-free DNA 5-hydroxymethylation biomarkers that detect occult colorectal cancer in PLCO Screening Trial subjects. bioRxiv 2024:2024.02.25.581955. [PMID: 38464122 PMCID: PMC10925134 DOI: 10.1101/2024.02.25.581955] [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: 03/12/2024]
Abstract
Background Colorectal cancer (CRC) is a leading cause of cancer-related mortality, and CRC detection through screening improves survival rates. A promising avenue to improve patient screening compliance is the development of minimally-invasive liquid biopsy assays that target CRC biomarkers on circulating cell-free DNA (cfDNA) in peripheral plasma. In this report, we identify cfDNA biomarker candidate genes bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that diagnose occult CRC up to 36 months prior to clinical diagnosis using the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial samples. Methods Archived PLCO Trial plasma samples containing cfDNA were obtained from the National Cancer Institute (NCI) biorepositories. Study subjects included those who were diagnosed with CRC within 36 months of blood collection (i.e., case, n = 201) and those who were not diagnosed with any cancer during an average of 16.3 years of follow-up (i.e., controls, n = 402). Following the extraction of 3 - 8 ng cfDNA from less than 300 microliters plasma, we employed the sensitive 5hmC-Seal chemical labeling approach, followed by next-generation sequencing (NGS). We then conducted association studies and machine-learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio. Results Despite the technical challenges associated with the PLCO samples (e.g., limited plasma volumes, low cfDNA amounts, and long archival times), robust genome-wide 5hmC profiles were successfully obtained from these samples. Association analyses using the Cox proportional hazards models suggested several epigenetic pathways relevant to CRC development distinguishing cases from controls. A weighted Cox model, comprised of 32-associated gene bodies, showed predictive detection value for CRC as early as 24-36 months prior to overt tumor presentation, and a trend for increased predictive power was observed for blood samples collected closer to CRC diagnosis. Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and self-reported race/ethnicity, and significantly outperformed risk factors such as age and obesity according to BMI (body mass index). Additionally, further improvement of predictive performance was achieved by combining the 5hmC-based model and risk factors for CRC. Conclusions An assay of 5hmC epigenetic signals on cfDNA revealed candidate biomarkers with the potential to predict CRC occurrence despite the absence of clinical symptoms or the availability of effective predictors. Developing a minimally-invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient survival through higher compliance screening and earlier intervention. Future investigation to expand this strategy to prospectively collected samples is warranted.
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Luo Y, Deng Z, Song B. A case of colon cancer combined with superior mesenteric vein resection and reconstruction. Tech Coloproctol 2023; 27:1131-1133. [PMID: 37329385 DOI: 10.1007/s10151-023-02828-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 05/25/2023] [Indexed: 06/19/2023]
Affiliation(s)
- Yajun Luo
- Department of Colorectal Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Wuhou District, Chengdu, 610042, People's Republic of China
| | - Z Deng
- Department of Colorectal Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Wuhou District, Chengdu, 610042, People's Republic of China
| | - B Song
- Department of Colorectal Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Wuhou District, Chengdu, 610042, People's Republic of China.
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Jamil OK, Shaw D, Deng Z, Dinardi N, Fillman N, Khanna S, Krugliak Cleveland N, Sakuraba A, Weber CR, Cohen RD, Dalal S, Jabri B, Rubin DT, Pekow J. Inflammation in the proximal colon is a risk factor for the development of colorectal neoplasia in inflammatory bowel disease patients with primary sclerosing cholangitis. Therap Adv Gastroenterol 2023; 16:17562848231184985. [PMID: 37692199 PMCID: PMC10486214 DOI: 10.1177/17562848231184985] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 06/12/2023] [Indexed: 09/12/2023] Open
Abstract
Background Patients with primary sclerosing cholangitis (PSC) and inflammatory bowel disease (IBD) have an increased risk of developing colorectal neoplasia (CRN) in the proximal colon. Objectives To evaluate whether duration and severity of inflammation are linked to the development of CRN in this population. Design Retrospective, case-control chart review of patients with PSC and IBD at a tertiary care center. Methods Disease activity was scored per colonic segment at each colonoscopy prior to the first instance of observed CRN using a modified Mayo endoscopic sub-score and histologic assessment. Patients in the CRN-positive group were compared to controls that did not. Results In all, 72 PSC-IBD patients with no history of CRN were identified, 13 of whom developed CRN after at least one colonoscopy at our institution. Patients in the CRN-positive group had significantly more endoscopic (p < 0.01) and histologic (p < 0.01) inflammation in the right compared to the control group prior to the development of dysplasia. There was significantly greater endoscopic inflammation in the segment of the colon with a dysplastic lesion than other segments of the colon (p = 0.018). Patients with moderate/severe lifetime endoscopic (p = 0.02) or histologic inflammation (p = 0.04) score had a lower probability of remaining free of dysplasia during follow-up. Nearly half of the patients with dysplasia had invisible lesions found on random biopsy. Conclusions Endoscopic and histologic inflammation in the proximal colon are risk factors for CRN in patients with PSC-IBD. PSC-IBD patients frequently have subclinical inflammation, and these findings support the practice of regular assessment of disease activity and random biopsy of inflamed and uninflamed areas in patients with PSC with the goal of reducing inflammation to prevent the development of CRN.
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Affiliation(s)
- Omar K. Jamil
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Dustin Shaw
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA Digestive Diseases Research Core Center, University of Chicago Medicine, Chicago, IL, USA
| | - Zifeng Deng
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Nicholas Dinardi
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Natalie Fillman
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Shivani Khanna
- Department of Allergy and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Atsushi Sakuraba
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | | | - Russell D. Cohen
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Sushila Dalal
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Bana Jabri
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA Digestive Diseases Research Core Center, University of Chicago Medicine, Chicago, IL, USA
| | - David T. Rubin
- Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, IL, USA
| | - Joel Pekow
- Inflammatory Bowel Disease Center, University of Chicago Medicine, 900 East 57th Street, MB #9, Chicago, IL 60637, USA
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Wu J, Deng Z, Zhu Y, Dou G, Li J, Huang L. [Overexpression of miR-431-5p impairs mitochondrial function and induces apoptosis in gastric cancer cells via the Bax/Bcl-2/caspase3 pathway]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:537-543. [PMID: 37202188 DOI: 10.12122/j.issn.1673-4254.2023.04.05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
OBJECTIVE To investigate the expression of microRNA miR-431-5p in gastric cancer (GC) tissues and its effects on apoptosis and mitochondrial function in GC cells. METHODS The expression level of miR-431-5p in 50 clinical samples of GC tissues and paired adjacent tissues was detected using real-time fluorescence quantitative PCR, and its correlation with the clinicopathological features of the patients was analyzed. A cultured human GC cell line (MKN-45 cells) were transfected with a miR-431-5p mimic or a negative control sequence, and the cell proliferation, apoptosis, mitochondrial number, mitochondrial potential, mitochondrial permeability transition pore (mPTP), reactive oxygen species (ROS) production and adenosine triphosphate (ATP) content were detected using CCK-8 assay, flow cytometry, fluorescent probe label, or ATP detection kit. The changes in the expression levels of the apoptotic proteins in the cells were detected with Western blotting. RESULTS The expression level of miR-431-5p was significantly lower in GC tissues than in the adjacent tissues (P < 0.001) and was significantly correlated with tumor differentiation (P=0.0227), T stage (P=0.0184), N stage (P=0.0005), TNM stage (P=0.0414) and vascular invasion (P=0.0107). In MKN-45 cells, overexpression of miR-431-5p obviously inhibited cell proliferation and induced cell apoptosis, causing also mitochondrial function impairment as shown by reduced mitochondrial number, lowered mitochondrial potential, increased mPTP opening, increased ROS production and reduced ATP content. Overexpression of miR-431-5p significantly downregulated the expression of Bcl-2 and increased the expressions of pro-apoptotic proteins p53, Bcl-2 and cleaved caspase-3 protein. CONCLUSION The expression of miR-431-5p is down-regulated in GC, which results in mitochondrial function impairment and promotes cell apoptosis by activating the Bax/Bcl-2/caspase3 signaling pathway, suggesting the potential role of miR-431-5p in targeted therapy for GC.
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Affiliation(s)
- J Wu
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - Z Deng
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - Y Zhu
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - G Dou
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - J Li
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - L Huang
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
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Zhou K, Wu F, Zhao N, Zheng Y, Deng Z, Yang H, Wen X, Xiao S, Yang C, Chen S, Zhou Y, Ran P. Association of pectoralis muscle area on computed tomography with airflow limitation severity and respiratory outcomes in COPD: A population-based prospective cohort study. Pulmonology 2023:S2531-0437(23)00039-9. [PMID: 36907812 DOI: 10.1016/j.pulmoe.2023.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Previous studies have shown that patients with chronic obstructive pulmonary disease (COPD) of severe or very severe airflow limitation have a reduced pectoralis muscle area (PMA), which is associated with mortality. However, whether patients with COPD of mild or moderate airflow limitation also have a reduced PMA remains unclear. Additionally, limited evidence is available regarding the associations between PMA and respiratory symptoms, lung function, computed tomography (CT) imaging, lung function decline, and exacerbations. Therefore, we conducted this study to evaluate the presence of PMA reduction in COPD and to clarify its associations with the referred variables. METHODS This study was based on the subjects enrolled from July 2019 to December 2020 in the Early Chronic Obstructive Pulmonary Disease (ECOPD) study. Data including questionnaire, lung function, and CT imaging were collected. The PMA was quantified on full-inspiratory CT at the aortic arch level using predefined -50 and 90 Hounsfield unit attenuation ranges. Multivariate linear regression analyses were performed to assess the association between the PMA and airflow limitation severity, respiratory symptoms, lung function, emphysema, air trapping, and the annual decline in lung function. Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and exacerbations after adjustment. RESULTS We included 1352 subjects at baseline (667 with normal spirometry, 685 with spirometry-defined COPD). The PMA was monotonically lower with progressive airflow limitation severity of COPD after adjusting for confounders (vs. normal spirometry; Global Initiative for Chronic Obstructive Lung Disease [GOLD] 1: β=-1.27, P=0.028; GOLD 2: β=-2.29, P<0.001; GOLD 3: β=-4.88, P<0.001; GOLD 4: β=-6.47, P=0.014). The PMA was negatively associated with the modified British Medical Research Council dyspnea scale (β=-0.005, P=0.026), COPD Assessment Test score (β=-0.06, P=0.001), emphysema (β=-0.07, P<0.001), and air trapping (β=-0.24, P<0.001) after adjustment. The PMA was positively associated with lung function (all P<0.05). Similar associations were discovered for the pectoralis major muscle area and pectoralis minor muscle area. After the 1-year follow-up, the PMA was associated with the annual decline in the post-bronchodilator forced expiratory volume in 1 s percent of predicted value (β=0.022, P=0.002) but not with the annual rate of exacerbations or the time to first exacerbation. CONCLUSION Patients with mild or moderate airflow limitation exhibit a reduced PMA. The PMA is associated with airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping, suggesting that PMA measurement can assist with COPD assessment.
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Affiliation(s)
- K Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - F Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China
| | - N Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Y Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Z Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - H Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - X Wen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - S Xiao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - C Yang
- Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, China
| | - S Chen
- Medical Imaging Center, Wengyuan County People's Hospital, Shaoguan, China
| | - Y Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China.
| | - P Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China.
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Wong PCM, Tsang SYC, Deng Z, Antoniou M. Foreign language training via mobile application to improve cognitive functions in patients with mild cognitive impairment: abridged secondary publication. Hong Kong Med J 2023; 29 Suppl 1:22-23. [PMID: 36919214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Affiliation(s)
- P C M Wong
- Department of Linguistics and Modern Language Studies, The Chinese University of Hong Kong, Hong Kong SAR, China.,Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S Y C Tsang
- Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Z Deng
- Department of Applied Psychology, Guangdong University of Finance and Economics, China
| | - M Antoniou
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia
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7
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Zhang ZY, Yang LT, Yue Q, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen YH, Cheng JP, Dai WH, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Ma H, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Saraswat K, Sharma V, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yeh CH, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Sub-GeV Dark Matter-Electron Scattering from the CDEX-10 Experiment. Phys Rev Lett 2022; 129:221301. [PMID: 36493436 DOI: 10.1103/physrevlett.129.221301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
We present improved germanium-based constraints on sub-GeV dark matter via dark matter-electron (χ-e) scattering using the 205.4 kg·day dataset from the CDEX-10 experiment. Using a novel calculation technique, we attain predicted χ-e scattering spectra observable in high-purity germanium detectors. In the heavy mediator scenario, our results achieve 3 orders of magnitude of improvement for m_{χ} larger than 80 MeV/c^{2} compared to previous germanium-based χ-e results. We also present the most stringent χ-e cross-section limit to date among experiments using solid-state detectors for m_{χ} larger than 90 MeV/c^{2} with heavy mediators and m_{χ} larger than 100 MeV/c^{2} with electric dipole coupling. The result proves the feasibility and demonstrates the vast potential of a new χ-e detection method with high-purity germanium detectors in ultralow radioactive background.
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Affiliation(s)
- Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - K Saraswat
- Institute of Physics, Academia Sinica, Taipei 11529
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - C H Yeh
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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8
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Dai WH, Jia LP, Ma H, Yue Q, Kang KJ, Li YJ, An HP, C G, Chang JP, Chen YH, Cheng JP, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Karmakar S, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhang ZY, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Exotic Dark Matter Search with the CDEX-10 Experiment at China's Jinping Underground Laboratory. Phys Rev Lett 2022; 129:221802. [PMID: 36493447 DOI: 10.1103/physrevlett.129.221802] [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] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg day data taken from a p-type point contact germanium detector of the CDEX-10 experiment at China's Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption (χ+A→ν+A) and DM-nucleus 3→2 scattering (χ+χ+A→ϕ+A), have been analyzed with an energy threshold of 160 eVee. No significant signal was found; thus new limits on the DM-nucleon interaction cross section are set for both models at the sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be 2.5×10^{-46} cm^{2} (90% C.L.) at DM mass of 10 MeV/c^{2}. For the DM-nucleus 3→2 scattering scenario, limits are extended to DM mass of 5 and 14 MeV/c^{2} for the massless dark photon and bound DM final state, respectively.
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Affiliation(s)
- W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | - Greeshma C
- Institute of Physics, Academia Sinica, Taipei 11529
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - S Karmakar
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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9
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Xu R, Yang L, Yue Q, Kang K, Li Y, Agartioglu M, An H, Chang J, Chen Y, Cheng J, Dai W, Deng Z, Fang C, Geng X, Gong H, Guo X, Guo Q, He L, He S, Hu J, Huang H, Huang T, Jia H, Jiang X, Li H, Li J, Li J, Li Q, Li R, Li X, Li Y, Liang Y, Liao B, Lin F, Lin S, Liu S, Liu Y, Liu Y, Liu Y, Liu Z, Ma H, Mao Y, Nie Q, Ning J, Pan H, Qi N, Ren J, Ruan X, Saraswat K, Sharma V, She Z, Singh M, Sun T, Tang C, Tang W, Tian Y, Wang G, Wang L, Wang Q, Wang Y, Wang Y, Wong H, Wu S, Wu Y, Xing H, Xu Y, Xue T, Yan Y, Yeh C, Yi N, Yu C, Yu H, Yue J, Zeng M, Zeng Z, Zhang B, Zhang F, Zhang L, Zhang Z, Zhang Z, Zhao K, Zhao M, Zhou J, Zhou Z, Zhu J. Constraints on sub-GeV dark matter boosted by cosmic rays from the CDEX-10 experiment at the China Jinping Underground Laboratory. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.052008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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10
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Deng Z. A relatively low glucose promotes the proliferation of vascular endothelial cells by suppressing VEGFR2 O-GlcNAcylation and its proteasome degradation. Int Ophthalmol 2022; 43:899-914. [PMID: 36089631 DOI: 10.1007/s10792-022-02492-2] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 08/20/2022] [Indexed: 10/14/2022]
Abstract
PURPOSE Vascular endothelial growth factor receptors (VEGFRs) have been demonstrated to play a critical role in ischemic retinal diseases, as VEGFRs mediate hypoxia-induced neovascularization. Not only hypoxia, ischemia also induces the deficiency of glucose, yet its effects on VEGFR signal and neovascularization have seldom been studied. Bioinformatics analysis predicted that VEGFRs may be regulated by O-GlcNAcylation, while glucose deficiency influences the O-GlcNAcylation. METHODS In this study, we treated human retinal microvascular endothelial cells with low glucose (LG) alone or in combination with low oxygen (oxygen and glucose deprivation, OGD). Cell viability and apoptosis rate were used to evaluate cell growth characters. RESULTS LG (2.8 mmol/L) treatment induced mRNA and protein levels of VEGFR1, 2, 3 even in the presence of the protein synthesis inhibitor, cycloheximide (CHX), suggesting that the increase in VEGFR proteins is partially associated with post-translational modifications. Immunoprecipitation analysis showed that O-GlcNAc level was decreased by LG in both VEGFR1, 2, but a de-O-GlcNAc glycosylase inhibitor restored the O-GlcNAc levels. This inhibitor also abolished the LG-induced increase in VEGFR2 protein, whereas this effect was not disappeared in the presence of the proteasome inhibitor, MG132. Similar results were also observed under OGD condition. VEGFR2 knockdown more significantly retarded the growth of hRMECs and HUVECs than VEGFR1, 3 knockdown under LG and OGD conditions. CONCLUSIONS A relatively low glucose suppressed O-GlcNAcylation in VEGFR2, whereby inhibiting its proteasome degradation; up-regulated VEGFR2 promoted the proliferation of vascular endothelial cells under ischemic condition.
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Yu H, Zhang L, Cai Y, Hao Z, Luo Z, Peng T, Liu L, Wang N, Wang G, Deng Z, Zhan Y. Seroprevalence of antibodies to classical swine fever virus and porcine reproductive and respiratory syndrome virus in healthy pigs in Hunan Province, China. Pol J Vet Sci 2022; 25:375-381. [PMID: 36155561 DOI: 10.24425/pjvs.2022.142020] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Classical swine fever (CSF) and porcine reproductive and respiratory syndrome (PRRS) are responsible for major economic losses and represent a threat to the swine industry worldwide. Routine surveillance serology for CSF and PRRS viruses is critical to maintaining the health status of sow farms in Hunan Province, which is one of the top pig production provinces in China. The aim of our study was to investigate the serological statistics of CSF virus (CSFV) and PRRS virus (PRRSV) in Hunan Province. The cohort serum samples were collected from vaccinated and unvaccinated pigs. Our findings showed that the average rates of CSFV and PRRSV antibody seropositivity were 82.2% (95% CI: 80.1-84.3) and 84.8% (95% CI: 82.5-87.1), respectively, in the immunized group and that these rates were higher than those in the unvaccinated group (58.6% for CSFV and 47.8% for PRRSV). Additionally, the level of CSFV antibody in piglet serum declined gradually with age, whereas PRRSV-specific antibody level increased initially (1 to 2 weeks old) and then declined with age (2 to 4 weeks old). In summary, we investigated the difference in CSFV/PRRSV antibody levels among piglets at various weeks old (1 to 4 weeks) to further establish the duration of maternal immunity in piglets. In addition, routine monitoring of CSFV/PRRSV antibodies in immunized pigs was carried out to evaluate the efficacy of vaccination.
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Affiliation(s)
- H Yu
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - L Zhang
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Y Cai
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Z Hao
- Yongzhou Animal Husbandry and Aquatic Affairs Center, Yongzhou, Hunan 425000, China
| | - Z Luo
- Dingcheng Animal Husbandry and Aquatic Affairs Center, Changde, Hunan 415100, China
| | - T Peng
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - L Liu
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - N Wang
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - G Wang
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Z Deng
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Y Zhan
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
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12
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Lin Y, Yang H, Shi F, Yang A, Han X, Liu B, Li Z, Ji Q, Tang L, Deng Z, Ding Y, Fu W, Xie X, Li L, He X, Lv Z, Wu L, Liu L. 1644O Donafenib in locally advanced/metastatic, radioactive iodine-refractory, differentiated thyroid cancer: A randomized, double-blind, placebo-controlled, multi-center phase III clinical trial (DIRECTION). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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13
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Liu R, Deng Z, Lin M, Ruan F, Luo G, Luo Z, Dou L, Wang L, Qiu G, Huang Z, Hou X, Wang D, Guo D, Zhou H, An R, Yao Y, Zhang Y. Arsenic induces bronchial epithelial carcinogenesis with mitochondrial dysfunction through AKAP95-mediated cell cycle alterations. Toxicol Appl Pharmacol 2022; 450:116166. [PMID: 35842138 DOI: 10.1016/j.taap.2022.116166] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 10/17/2022]
Abstract
Arsenic is a widely existing pollutant in the environment, but the mechanism of occurrence and development of lung cancer by long-term arsenic exposure needs to be elucidated further. How the high and low doses of arsenic induce human bronchial epithelial cell transformation is yet to be elucidated. In the present study, human bronchial epithelial cells were exposed to varying high-dose sodium arsenite (NaAsO2) for the short-term or treated with low dose for long-term. The data showed that both short- and long-term treatment promoted G1/S transition of Beas-2B cells, inducing a significant increase in the expression of AKAP95, cyclin D1, cyclin D2, and cyclin E1. However, silencing AKAP95 by treating cells with siAKAP95 exerted a protective function that inhibited G1/S transition, suggesting a regulatory mechanism of AKAP95 on the cell cycle during cell malignant transformation induced by NaAsO2. In addition, mitochondrial dysfunctions occurred during NaAsO2 exposure. Beas-2B cells exposed to low-dose NaAsO2 for long-term were subcultured for 20 generations, and the exposure time was positively proportional to the growth and migration rate of the cells. The exposed cells were used in a tumor-bearing transplantation experiment (mice), and the results showed that the longer the exposure time, the faster the tumor volume growth rate of As-Beas-2B cells. Tumor tissues were excised for hematoxylin-eosin staining, which showed altered cell morphology and increased volume.
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Affiliation(s)
- Rong Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Zifeng Deng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Mo Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Fengkai Ruan
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Guangping Luo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Zhen Luo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Liangding Dou
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Lei Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Guihua Qiu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Zhi Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Xin Hou
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Dai Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Dongbei Guo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Haitao Zhou
- Microbiology laboratory, Futian District Center for Disease Prevention and Control, Shenzhen City, Guangdong 518000, China
| | - Ran An
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China
| | - Youliang Yao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China.
| | - Yongxing Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian 361102, China.
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14
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Du J, Sarkar R, Li Y, He L, Kang W, Liao W, Liu W, Nguyen T, Zhang L, Deng Z, Dougherty U, Kupfer SS, Chen M, Pekow J, Bissonnette M, He C, Li YC. N 6-adenomethylation of GsdmC is essential for Lgr5 + stem cell survival to maintain normal colonic epithelial morphogenesis. Dev Cell 2022; 57:1976-1994.e8. [PMID: 35917813 PMCID: PMC9398964 DOI: 10.1016/j.devcel.2022.07.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [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: 08/17/2021] [Revised: 05/15/2022] [Accepted: 07/07/2022] [Indexed: 11/20/2022]
Abstract
Gut epithelial morphogenesis is maintained by intestinal stem cells. Here, we report that depletion of N6-adenosine methyltransferase subunit Mettl14 from gut epithelial cells in mice impaired colon mucosal morphogenesis, leading to increased mucosal permeability, severe inflammation, growth retardation, and premature death. Mettl14 ablation triggered apoptosis that depleted Lgr5+ stem cells and disrupted colonic organoid growth and differentiation, whereas the inhibition of apoptosis rescued Mettl14-deleted mice and organoids. Mettl14 depletion disrupted N6-adenomethylation on GsdmC transcripts and abolished GsdmC expression. Reconstitution of Mettl14-deleted organoids or mice with GSDMC rescued Lgr5 expression and prevented apoptosis and mouse premature death, whereas GSDMC silence eliminated LGR5 and triggered apoptosis in human colonic organoids and epithelial cells. Mechanistically, Mettl14 depletion eliminated mitochondrial GsdmC, disrupted mitochondrial membrane potential, and triggered cytochrome c release that activates the pro-apoptotic pathway. In conclusion, GsdmC N6-adenomethylation protects mitochondrial homeostasis and is essential for Lgr5+ cell survival to maintain normal colonic epithelial regeneration.
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Affiliation(s)
- Jie Du
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA; Department of Oral Medicine, School and Hospital of Stomatology, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Rajesh Sarkar
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Yan Li
- Center for Research Informatics, The University of Chicago, Chicago, IL, USA
| | - Lei He
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Wenjun Kang
- Center for Research Informatics, The University of Chicago, Chicago, IL, USA
| | - Wang Liao
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA; Department of Cardiology, Hainan General Hospital, Hainan Clinical Research Institute, Haikou, Hainan, China
| | - Weicheng Liu
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Tivoli Nguyen
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Linda Zhang
- Departments of Chemistry, Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA
| | - Zifeng Deng
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Urszula Dougherty
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Sonia S Kupfer
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Mengjie Chen
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA; Center for Research Informatics, The University of Chicago, Chicago, IL, USA
| | - Joel Pekow
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Marc Bissonnette
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA
| | - Chuan He
- Departments of Chemistry, Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA; Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Yan Chun Li
- Department of Medicine, Division of Biological Sciences, The University of Chicago, Chicago, IL, USA.
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15
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Wang M, Deng Z, Li Y, Xu K, Ma Y, Yang ST, Wang J. Antibiofilm property and multiple action of peptide PEW300 against Pseudomonas aeruginosa. Front Microbiol 2022; 13:963292. [PMID: 35966656 PMCID: PMC9372277 DOI: 10.3389/fmicb.2022.963292] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/12/2022] [Indexed: 11/24/2022] Open
Abstract
Pseudomonas aeruginosa (P. aeruginosa), an opportunistic pathogen, is often associated with difficulties in treating hospital-acquired infections. Biofilms formed by P. aeruginosa significantly improve its resistance to antimicrobial agents, thereby, posing a great challenge to the combat of P. aeruginosa infection. Antimicrobial peptides (AMPs) have recently emerged as promising antibiofilm agents and increasingly attracting the attention of scientists worldwide. However, current knowledge of their antibiofilm behavior is limited and their underlying mechanism remains unclear. In this study, a novel AMP, named PEW300, with three-point mutations (E9H, D17K, and T33A) from Cecropin A was used to investigate its antibiofilm property and antibiofilm pathway against P. aeruginosa. PEW300 displayed strong antibacterial and antibiofilm activity against P. aeruginosa with no significant hemolysis or cytotoxicity to mouse erythrocyte and human embryonic kidney 293 cells. Besides, the antibiofilm pathway results showed that PEW300 preferentially dispersed the mature biofilm, leading to the biofilm-encapsulated bacteria exposure and death. Meanwhile, we also found that the extracellular DNA was a critical target of PEW300 against the mature biofilm of P. aeruginosa. In addition, multiple actions of PEW300 including destroying the cell membrane integrity, inducing high levels of intracellular reactive oxygen species, and interacting with genomic DNA were adopted to exert its antibacterial activity. Moreover, PEW300 could dramatically reduce the virulence of P. aeruginosa. Taken together, PEW300 might be served as a promising antibiofilm candidate to combat P. aeruginosa biofilms.
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Affiliation(s)
- Meng Wang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Zifeng Deng
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Yanmei Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Keyong Xu
- Kaiping Healthwise Health Food Co., Ltd, Kaiping, China
| | - Yi Ma
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, China
| | - Shang-Tian Yang
- Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, United States
| | - Jufang Wang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, China
- *Correspondence: Jufang Wang,
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16
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Peng Y, Zheng Y, Deng Z, Zhang S, Tan Y, Hu Z, Tao L, Luo Y. Case Report: A de novo Variant of CRYGC Gene Associated With Congenital Cataract and Microphthalmia. Front Genet 2022; 13:866246. [PMID: 35719371 PMCID: PMC9198712 DOI: 10.3389/fgene.2022.866246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Congenital cataract is one of the most common causes of blindness in children. A rapid and accurate genetic diagnosis benefit the patients in the pediatric department. The current study aims to identify the genetic defects in a congenital cataract patient without a family history. Case presentation: A congenital cataract patient with microphthalmia and nystagmus was recruited for this study. Trio-based whole-exome sequencing revealed a de novo variant (c.394delG, p.V132Sfs*15) in CRYGC gene. According to the American College of Medical Genetics and Genomics (ACMG) criteria, the variant could be annontated as pathogenic. Conclusion: Our findings provide new knowledge of the variant spectrum of CRYGC gene and are essential for understanding the heterogeneity of cataracts in the Chinese population.
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Affiliation(s)
- Yu Peng
- Department of Ophthalmology & Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China
| | - Yu Zheng
- Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China
| | - Zifeng Deng
- Department of Ophthalmology, Hunan Children's Hospital, Changsha, China
| | - Shuju Zhang
- Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China
| | - Yilan Tan
- Department of Ophthalmology, Hunan Children's Hospital, Changsha, China
| | - Zhengmao Hu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Lijuan Tao
- Department of Ophthalmology, Hunan Children's Hospital, Changsha, China
| | - Yulin Luo
- Department of Ophthalmology, Hunan Children's Hospital, Changsha, China
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17
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Wang M, Deng Z, Li Y, Ma Y, Wang J. Design and characterization of a novel lytic protein against Clostridium difficile. Appl Microbiol Biotechnol 2022; 106:4511-4521. [PMID: 35699735 PMCID: PMC9194777 DOI: 10.1007/s00253-022-12010-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/29/2022] [Accepted: 06/01/2022] [Indexed: 11/29/2022]
Abstract
Abstract Clostridium difficile (C. difficile) is a Gram-positive, spore-forming, toxin-producing anaerobe that can cause nosocomial antibiotic-associated intestinal disease. Autolysin is a lytic enzyme that hydrolyzes peptidoglycans of the bacterial cell wall, with a catalytic domain and cell wall–binding domains, proven to be involved in bacterial cell wall remodeling and cell division. Although autolysins in C. difficile have been reported, the autolysins have failed to yield impressive results when used as exogenous lytic agents. In this study, we expressed and characterized the binding domains (Cwp19-BD and Acd-BD) and catalytic domains (Cwp19-CD, Acd-CD, and Cwl-CD) of C. difficile autolysins, and the domains with the best binding specificity and lytic activity were selected towards C. difficile to design a novel lytic protein Cwl-CWB2. Cwl-CWB2 showed good biosafety with significantly low hemolysis and without cytotoxicity. The results of fluorescence analysis and lytic assay demonstrated that Cwl-CWB2 has higher binding specificity and stronger lytic activity with a minimum inhibitory concentration at 13.39 ± 5.80 μg/mL against living C. difficile cells, which is significantly stronger than commercial lysozyme (3333.33 ± 1443.37 μg/mL) and other reported C. difficile autolysins. Besides, Cwl-CWB2 exhibited good stability as about 75% of the lytic activity was still retained when incubated at 37 °C for 96 h, which is considered to be a potential antimicrobial agent to combat C. difficile. Key points • Several binding domains and catalytic domains, deriving from several Clostridium difficile autolysins, were expressed, purified, and functionally characterized. • A novel C. difficile lytic protein Cwl-CWB2 was designed from C. difficile autolysins. • The binding specificity and lytic activity of Cwl-CWB2 against C. difficile showed advantages compared with other reported C. difficile autolysins. • Cwl-CWB2 exhibited significantly low hemolysis and cytotoxicity against normal-derived colon mucosa 460 cell. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1007/s00253-022-12010-0.
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Affiliation(s)
- Meng Wang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Zifeng Deng
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Yanmei Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Yi Ma
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Jufang Wang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, 510006, China.
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Casal Moura M, Deng Z, Brooks S, Tew W, Hummel A, Fervenza F, Kallenberg C, Langford C, Merkel PA, Monach PA, Seo P, Spiera R, St. Clair W, Stone JH, Prunotto M, Grayson P, Specks U. POS0244 ASSOCIATION OF PROTEINASE 3 GENE (PRTN3) Val119Ile POLYMORPHISM (SNP rs351111) WITH RISK OF RELAPSE AMONG HOMOZYGOUS PATIENTS WITH PR3 ANCA-ASSOCIATED VASCULITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4977] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe frequency of the proteinase 3 gene (PRTN3) polymorphisms in patients with ANCA-associated vasculitis (AAV) is not well characterized. We hypothesize that PRTN3 gene polymorphisms induce allosteric changes in PR3 conformation which may alter its interaction with ligands and PR3-ANCA during inflammation with potential implications for disease presentation and clinical outcomes.ObjectivesTo analyze the association of PRTN3 Val119Ile polymorphism (SNP rs351111) with risk of relapse risk among homozygous patients with PR3 ANCA-associated vasculitis.MethodsDNA variant calling for SNP rs351111 (chr.19:844020, c.355G>A) in PRTN3 gene assessed the allelic frequency in patients with PR3-AAV included in the Rituximab versus Cyclophosphamide (RAVE) trial. This was followed by RNA-seq variant calling to characterize the mRNA expression. We compared clinical presentation and outcomes between patients homozygous for PR3-Ile119 or PR3-Val119.ResultsSerum samples for DNA calling were available in 188 of the 197 patients with AAV in the RAVE cohort. 75 PR3-AAV patients had the allelic variant: 13 patients were homozygous for PR3-Ile119 and 62 patients were heterozygous PR3-Val119Ile with an allele frequency threshold of 29.3 – 55.1% of reads (Figure 1A and 1B). RNA-seq was available for 89 patients and the mRNA corresponding to the allelic variant was found in 35 PR3-AAV patients: 13 patients were homozygous for PR3-Ile119 and 22 patients were heterozygous PR3-Val119Ile with an allele frequency threshold of 11.1 – 62.8% of reads (Figure 1A and 1C). The agreement between the DNA calling results and the mRNA expression of the 86 patients that overlapped was 100%. We found an additional homozygous patient for PR3-Val119 in which blood was not available for DNA calling. We compared the clinical presentation and outcomes of 74 patients with PR3-AAV: 13 homozygous for PR3-Ile119 and 51 homozygous for PR3-Val119 (Table 1). The frequency of severe flares at 18 months in homozygous PR3-Ile119 was ≥ 2x higher when compared with homozygous PR3-Val119 (46.2% vs. 19.6%, p=0.048). We found no differences in clinical presentation.Figure 1.RAVE trial population distribution according to the zygosity status for PRTN3 gene (PR3 and MPO-ANCA patients) and DNA or RNA variant calling (panel A). Allelic frequency for rs351111, chr.19:844020 (c.355G>A) in PRTN3 among patients with AAV (PR3 and MPO-ANCA) in the DNA (panel B) and RNA (panel C) variant calling.Table 1.Outcomes of patients with PR3-ANCA according with PRTN3 zygosity.PR3-ANCA (n=64)Homozygous PR3-Val119(n=51)HomozygousPR3-Ile119(n=13)p-value Remission, n (%)45 (88.2)13 (100)0.194 Complete remission, n (%)36 (70.6)10 (76.9)0.650 Any flare 18 months, n (%)30 (58.8)7 (53.8)0.746 Severe Relapse* 18 months, n (%)10 (19.6)6 (46.2)0.048* Relapse was considered “Severe” if Birmingham Vasculitis Activity Score for Wegener’s Granulomatosis (BVAS/WG) > 3 or one major item as per the RAVE trial definition.Abbreviations: ANCA - anti-neutrophil cytoplasmic antibody; Ile – isoleucine; n- number; PR3 - proteinase 3; Val - valine.ConclusionIn patients with PR3-AAV the presence of PRTN3 Val119Ile polymorphism was associated with higher frequency of severe relapse. Further studies are necessary to understand the association of this observation with the risk of severe relapse.References[1]Stone JH et al N Engl J Med 2010; 363:221-232Disclosure of InterestsNone declared
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Luo Z, Dou L, Wang L, Liu R, Luo G, Lin M, Deng Z, Shen Y, Fu Z, Peng S, Zhang Y. [Over-expression of NUDT21 inhibits the proliferation of HCT-116 colon cancer cells via blocking P53/CDK2/Rb pathway]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2022; 38:507-512. [PMID: 35732608] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective To investigate the effect of over-expression of nudix hydrolase 21 (NUDT21) on the proliferation of colon cancer HCT-116 cells and its mechanism. Methods The NUDT21 over-expression plasmid was constructed by Gibson assembly. The colony formation assay and CCK-8 assay were used to detect cell proliferation. The cell cycle of HCT-116 cells was detected by flow cytometry. Western blot was performed to detect the expressions of P53, cyclin-dependent kinase 2 (CDK2), phosphorylated retinoblastoma protein at serine 780 (p-Rb-Ser780), and p-Rb-Ser608. Results The sequencing results showed that the NUDT21 over-expression plasmid was successfully constructed. After the NUDT21 over-expression plasmid was transfected into HCT-116 cells, the expressions of NUDT21 mRNA and protein in the cells were significantly increased. The over-expression of NUDT21 inhibited the proliferation of HCT-116 cells and arrested the cell cycle in G0/G1 phase. The expressions of CDK2, p-Rb-Ser608, and p-Rb-Ser780 proteins decreased while the expression of P53 protein increased. Conclusion Over-expression of NUDT21 inhibits the proliferation of HCT-116 cells by blocking P53/CDK2/Rb signal pathway.
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Affiliation(s)
- Zhen Luo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Liangding Dou
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Lei Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Rong Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Guangping Luo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Mo Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Zifeng Deng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Ying Shen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Zhining Fu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Shuhai Peng
- Department of Stomatology, Xiamen Medical College, Xiamen 361023, China. *Corresponding authors, E-mail:
| | - Yongxing Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China. *Corresponding authors, E-mail:
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20
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Feng Y, Zhang F, Huang S, Deng Z, Bai L, Zheng J. Structural visualization of transient interactions between the cis-acting acyltransferase and acyl carrier protein of the salinomycin modular polyketide synthase. Acta Crystallogr D Struct Biol 2022; 78:779-791. [DOI: 10.1107/s2059798322004612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 05/02/2022] [Indexed: 11/10/2022]
Abstract
Transient protein–protein interactions between cis-acting acyltransferase (AT) and acyl carrier protein (ACP) domains are critical for the catalysis and processivity of modular polyketide synthases (mPKSs), but are challenging for structural characterization due to the intrinsically weak binding affinity. Here, a stable complex of cis-acting AT and ACP domains from the ninth module of the salinomycin mPKS was obtained using a maleimide cross-linker and the structure of the complex was determined at 2.6 Å resolution. The crystal structure shows that the AT in combination with the ketosynthase (KS)-to-AT linker forms a C-shaped architecture to embrace the ACP. The large hydrolase subdomain of the AT serves as a major binding platform for the ACP, while the small ferredoxin-like subdomain of the AT and the KS-to-AT linker cooperate with each other to constrain binding of the ACP. The importance of interface residues in cis-acting AT–ACP interactions was confirmed by mutagenesis assays. The interaction mode observed in the cis-acting AT–ACP complex is completely different from those observed in trans-acting AT–ACP complexes, where the ACP primarily contacts the small domain of the AT. The complex structure provides detailed mechanistic insights into AT–ACP recognition in cis-AT mPKSs.
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21
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Corbi F, Bedford J, Poli P, Funiciello F, Deng Z. Probing the seismic cycle timing with coseismic twisting of subduction margins. Nat Commun 2022; 13:1911. [PMID: 35396397 PMCID: PMC8993884 DOI: 10.1038/s41467-022-29564-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 03/15/2022] [Indexed: 11/09/2022] Open
Abstract
Assessing the timing of great megathrust earthquakes is together crucial for seismic hazard analysis and deemed impossible. Geodetic instrumentation of subduction zones has revealed unexpected deformation patterns at subduction segments adjacent to those that hosted recent mega-earthquakes: coastal sites move landward with faster velocities than before the earthquake. Here, we show observations from the largest and best-monitored megathrust earthquakes, and from a scaled analog model, to reveal that these events create coseismic and postseismic deformation patterns typical of a complete gear-like rotation about a vertical axis, hereafter called twisting. We find that such twisting alters the interseismic velocity field of adjacent subduction segments depending on the time since the last earthquake. Early interactions accelerate while late interactions decelerate local kinematics. This finding opens the possibility of using megathrust earthquakes, the characteristics of the twisting pattern, and the ensuing geodetic velocity changes, as a proxy for estimating the timing of the seismic cycle at unruptured segments along the margin. Satellite geodesy and downscaled laboratory experiments reveal that great subduction earthquakes trigger step changes in kinematics of neighboring segments. This signal is potentially informative of the timing of the seismic cycle.
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Affiliation(s)
- F Corbi
- Istituto di Geologia Ambientale e Geoingegneria - CNR c/o Dipartimento di Scienze della Terra, Sapienza Università di Roma, Rome, Italy.
| | - J Bedford
- Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Potsdam, Germany
| | - P Poli
- Université Grenoble Alpes, CNRS, ISTerre, Grenoble, France
| | - F Funiciello
- Università "Roma TRE", Dip. Scienze, Laboratory of Experimental Tectonics, Rome, Italy
| | - Z Deng
- Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Potsdam, Germany
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22
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Gu H, He X, Wu Y, Deng S, Jiang Y, Yu J, Deng Z, Xing K, Wang Z. Examining differentiation of sympatric
Schizothorax
fishes reveals low differentiation in internal compared to external feeding traits. J Zool (1987) 2022. [DOI: 10.1111/jzo.12956] [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: 11/27/2022]
Affiliation(s)
- H. Gu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) Key Laboratory of Aquatic Science of Chongqing School of Life Sciences Southwest University Chongqing China
| | - X. He
- Sichuan Lubei Biotechnology Company Limited Chengdu China
| | - Y. Wu
- Sichuan Lubei Biotechnology Company Limited Chengdu China
| | - S. Deng
- Liangshan Kehua Water Ecology Company Limited Xichang China
| | - Y. Jiang
- Butuo Agriculture and Rural Affairs Bureau Butuo China
| | - J. Yu
- Zhaojue Agriculture and Rural Affairs Bureau Zhaojue China
| | - Z. Deng
- Liangshan Kehua Water Ecology Company Limited Xichang China
| | - K. Xing
- Xichang Agriculture and Rural Affairs Bureau Xichang China
| | - Z. Wang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) Key Laboratory of Aquatic Science of Chongqing School of Life Sciences Southwest University Chongqing China
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23
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Li FY, Deng Z. [Progress in the pathogenesis of post-infectious persistent cough]. Zhonghua Jie He He Hu Xi Za Zhi 2022; 45:213-217. [PMID: 35135092 DOI: 10.3760/cma.j.cn112147-20210610-00415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Respiratory viral infection is a common cause of acute cough. After the cause has been cleared and the symptoms such as fever, nasal congestion and runny nose have been relieved, some patients still have persistent cough. These phenomena indicate that respiratory viruses may mediate cough hypersensitivity and lead to the occurrence of sub-acute or chronic cough. Cough response to viral infection is a protective strategy to prevent the spread of the viruses from the upper respiratory tract to other sites, but excessive coughing becomes a disease. In this review, we introduced the research progress in the pathophysiological mechanism of post-viral persistent cough or chronic cough.
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Affiliation(s)
- F Y Li
- Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Z Deng
- Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
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Feng H, Deng Z, Ruan Y, Liu J, Wang T. Circular RNA EPHA3 suppresses prostate cancer cells proliferation and metastasis through miR-513a-3p/ SOX6 axis. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00505-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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25
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Chen P, Yu M, Deng Z, Zhang M, Liu J, Fan J, Hu C, Tu L. Rotary table wobble error analysis and correction of a rotating accelerometer gravity gradiometer. Rev Sci Instrum 2022; 93:024501. [PMID: 35232129 DOI: 10.1063/5.0077151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
In a rotating accelerometer gravity gradiometer (RAGG), rotary table wobble refers to the shift in the direction of the spin axis during operation. This motion causes errors in the output of the RAGG, but the mechanism is not clear. The purpose of this paper is to analyze the relationship between rotary table wobble and RAGG errors and to propose a method for rejecting these errors. We consider the influence of attitude changes, angular velocity, and angular acceleration caused by the wobble on the specific force, and we describe the error transmission process based on the accelerometer configuration and its measurement principle. Furthermore, we show through a simulated experiment that when the angular velocity noise caused by the wobble is 1 μrad/s, this will produce errors of tens of E. We propose a post-error correction method that is based on the higher-precision RAGG model and motion measurement. The errors in the two channels of the RAGG are reduced to 3.69 E and 1.85 E after error correction. The error analysis of the effects of wobble on a RAGG and the proposed error correction method are of great significance for the development of high-precision gradiometers.
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Affiliation(s)
- P Chen
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - M Yu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Z Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - M Zhang
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - J Liu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - J Fan
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - C Hu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - L Tu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
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Ding L, Zhou R, Yuan Y, Yang H, Li J, Yu T, Liu C, Wang J, Li S, Gao H, Deng Z, Li N, Wang Z, Gong Z, Liu G, Xie J, Wang S, Rong Z, Deng D, Wang X, Han S, Wan W, Richter L, Huang L, Gou S, Liu Z, Yu H, Jia Y, Chen B, Dang Z, Zhang K, Li L, He X, Liu S, Di K. A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover. Sci Robot 2022; 7:eabj6660. [PMID: 35044796 DOI: 10.1126/scirobotics.abj6660] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The lunar nearside has been investigated by many uncrewed and crewed missions, but the farside of the Moon remains poorly known. Lunar farside exploration is challenging because maneuvering rovers with efficient locomotion in harsh extraterrestrial environment is necessary to explore geological characteristics of scientific interest. Chang'E-4 mission successfully targeted the Moon's farside and deployed a teleoperated rover (Yutu-2) to explore inside the Von Kármán crater, conveying rich information regarding regolith, craters, and rocks. Here, we report mobile exploration on the lunar farside with Yutu-2 over the initial 2 years. During its journey, Yutu-2 has experienced varying degrees of mild slip and skid, indicating that the terrain is relatively flat at large scales but scattered with local gentle slopes. Cloddy soil sticking on its wheels implies a greater cohesion of the lunar soil than encountered at other lunar landing sites. Further identification results indicate that the regolith resembles dry sand and sandy loam on Earth in bearing properties, demonstrating greater bearing strength than that identified during the Apollo missions. In sharp contrast to the sparsity of rocks along the traverse route, small fresh craters with unilateral moldable ejecta are abundant, and some of them contain high-reflectance materials at the bottom, suggestive of secondary impact events. These findings hint at notable differences in the surface geology between the lunar farside and nearside. Experience gained with Yutu-2 improves the understanding of the farside of the Moon, which, in return, may lead to locomotion with improved efficiency and larger range.
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Affiliation(s)
- L Ding
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - R Zhou
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Y Yuan
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Yang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - J Li
- Beijing Aerospace Control Center, Beijing 100094, China
| | - T Yu
- Beijing Aerospace Control Center, Beijing 100094, China
| | - C Liu
- Beijing Aerospace Control Center, Beijing 100094, China.,Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing 100094, China
| | - J Wang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Li
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Gao
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Deng
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - N Li
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Gong
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - G Liu
- Department of Aerospace Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
| | - J Xie
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Wang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - Z Rong
- Beijing Aerospace Control Center, Beijing 100094, China
| | - D Deng
- Beijing Aerospace Control Center, Beijing 100094, China
| | - X Wang
- Beijing Aerospace Control Center, Beijing 100094, China.,Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing 100094, China
| | - S Han
- Beijing Aerospace Control Center, Beijing 100094, China
| | - W Wan
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - L Richter
- Large Space Structures GmbH, Hauptstrasse 1, D-85386 Eching, Germany
| | - L Huang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - S Gou
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - Z Liu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Yu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Y Jia
- China Academy of Space Technology, Beijing 100094, China
| | - B Chen
- China Academy of Space Technology, Beijing 100094, China
| | - Z Dang
- China Academy of Space Technology, Beijing 100094, China
| | - K Zhang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - L Li
- Beijing Aerospace Control Center, Beijing 100094, China
| | - X He
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Liu
- Beijing Aerospace Control Center, Beijing 100094, China
| | - K Di
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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Zeng X, Chunyang L, Hao Y, Wang D, Fan F, Wang C, Deng Z, Guo H, Wang Z. Pregnancy diagnosis and fetal monitoring in Yangtze finless porpoises. ENDANGER SPECIES RES 2022. [DOI: 10.3354/esr01179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Dougherty U, Mustafi R, Zhu H, Zhu X, Deb D, Meredith SC, Ayaloglu-Butun F, Fletcher M, Sanchez A, Pekow J, Deng Z, Amini N, Konda VJ, Rao VL, Sakuraba A, Kwesi A, Kupfer SS, Fichera A, Joseph L, Hart J, He F, He TC, West-Szymanski D, Li YC, Bissonnette M. Upregulation of polycistronic microRNA-143 and microRNA-145 in colonocytes suppresses colitis and inflammation-associated colon cancer. Epigenetics 2021; 16:1317-1334. [PMID: 33356812 PMCID: PMC8813074 DOI: 10.1080/15592294.2020.1863117] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 11/08/2020] [Accepted: 12/07/2020] [Indexed: 12/25/2022] Open
Abstract
Because ADAM17 promotes colonic tumorigenesis, we investigated potential miRNAs regulating ADAM17; and examined effects of diet and tumorigenesis on these miRNAs. We also examined pre-miRNA processing and tumour suppressor roles of several of these miRNAs in experimental colon cancer. Using TargetScan, miR-145, miR-148a, and miR-152 were predicted to regulate ADAM17. miR-143 was also investigated as miR-143 and miR-145 are co-transcribed and associated with decreased tumour growth. HCT116 colon cancer cells (CCC) were co-transfected with predicted ADAM17-regulating miRNAs and luciferase reporters controlled by ADAM17-3'UTR. Separately, pre-miR-143 processing by colonic cells was measured. miRNAs were quantified by RT-PCR. Tumours were induced with AOM/DSS in WT and transgenic mice (Tg) expressing pre-miR-143/miR-145 under villin promoter. HCT116 transfection with miR-145, -148a or -152, but not scrambled miRNA inhibited ADAM17 expression and luciferase activity. The latter was suppressed by mutations in ADAM17-3'UTR. Lysates from colonocytes, but not CCC, processed pre-miR-143 and mixing experiments suggested CCC lacked a competency factor. Colonic miR-143, miR-145, miR-148a, and miR-152 were downregulated in tumours and more moderately by feeding mice a Western diet. Tg mice were resistant to DSS colitis and had significantly lower cancer incidence and tumour multiplicity. Tg expression blocked up-regulation of putative targets of miR-143 and miR-145, including ADAM17, K-Ras, XPO5, and SET. miR-145, miR-148a, and miR-152 directly suppress colonocyte ADAM17 and are down-regulated in colon cancer. This is the first direct demonstration of tumour suppressor roles for miR-143 and miR-145 in an in vivo model of colonic tumorigenesis.
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Affiliation(s)
| | - Reba Mustafi
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Hongyan Zhu
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Xiaorong Zhu
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Dilip Deb
- Department of Medicine, University of Chicago, Chicago IL, USA
| | | | | | | | - Arantxa Sanchez
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Joel Pekow
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Zifeng Deng
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Nader Amini
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Vani J Konda
- Department of Medicine, Baylor University, Dallas, TX, USA
| | - Vijaya L. Rao
- Department of Medicine, University of Chicago, Chicago IL, USA
| | | | - Akushika Kwesi
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - Sonia S Kupfer
- Department of Medicine, University of Chicago, Chicago IL, USA
| | | | - Loren Joseph
- Departments of Pathology, Beth Israel, Harvard Medical School, Boston, MA, USA
| | - John Hart
- Departments of Pathology, University of Chicago, Chicago IL, USA
| | - Fang He
- Departments of Orthopedics, The University of Chicago, Chicago, IL, USA
| | - Tong-Chuan He
- Departments of Orthopedics, The University of Chicago, Chicago, IL, USA
| | | | - Yan Chun Li
- Department of Medicine, University of Chicago, Chicago IL, USA
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Deng Z, Xu X, Dehghani H, Reyes J, Wong J, Tran P, Wang K. Quantification of Tumor Location and Growth for Orthotopic Pancreatic Cancer Model Using Bioluminescence Tomography-Guided System. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Tang W, He B, Luo J, Deng Z, Wang X, Duan X. Effect of the Control Ability on Stereopsis Recovery of Intermittent Exotropia in Children. J Pediatr Ophthalmol Strabismus 2021; 58:350-354. [PMID: 34435904 DOI: 10.3928/01913913-20210615-02] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
PURPOSE To explore the relationship between ocular position control ability and stereopsis recovery in children with intermittent exotropia, and to analyze the influencing factors of distance stereopsis recovery. METHODS In this retrospective study, 78 children with small angle intermittent exotropia received vision training for 3 months. All patients were examined for distance stereopsis with the synoptophore and for near stereopsis with the Titmus stereogram before and after the training. The patients were divided into low and high Newcastle Control Score (NCS) groups. The stereopsis of the two groups was compared. Logistic regression analysis was used to analyze the influencing factors of distance stereopsis recovery. RESULTS Among 78 children with intermittent exotropia, 33 had near stereopsis (42.3%) and 22 had distance stereopsis (28.2%); the difference was significant (P < .05). After 3 months of training, there were statistically significant differences between distance and near stereopsis in the low NCS group and the high NCS group (chi-square = 7.127, P = .008; chi-square = 13.005, P < .001). The number of children with distance and near stereopsis in the low NCS group increased significantly compared with before training (chi-square = 13.471, P < .001; chi-square = 22.244, P < .001). Multivariate logistic regression analysis showed that age of onset (odds ratio [OR] = 3.768, P = .001), near point of convergence (OR = 0.347, P = .002), and NCS (OR = 0.142, P = .002) were risk factors that affected stereopsis recovery in children with small angle intermittent exotropia. CONCLUSIONS Control ability is one of the important indicators to assess the severity of intermittent exotropia. The worse the control ability, the more difficult the recovery of stereopsis. Age of onset, near point of convergence, and NCS are risk factors that affect the recovery of distance stereopsis. [J Pediatr Ophthalmol Strabismus. 2021;58(6):350-354.].
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Chen N, Wu H, Deng Z, Liao Z, Feng S, Luo Z, Chu Y, Qiu G, Li X, Jin Y, Rong S, Wang F, Gan L, Chen R, Zhao L. [An optimized protocol of meniscus cell extraction for single-cell RNA sequencing]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1310-1318. [PMID: 34658344 DOI: 10.12122/j.issn.1673-4254.2021.09.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To optimize the protocol of meniscus cell extraction to enhance the efficiency of cell suspension preparation and maintain a high cell viability for single-cell RNA sequencing. METHODS We compared the efficiency of the routine cell extraction methods (short-time digestion and long-time digestion) and the optimized protocol for obtaining meniscus cell suspensions by evaluating the cell number obtained and the cell viability. Single-cell RNA sequencing datasets were analyzed to evaluate the stability of the cell suspension prepared using the optimized protocol. The reliability of the optimized protocol was assessed by comparing the single-cell RNA sequencing dataset obtained by the optimized protocol with published single-cell RNA sequencing datasets of the meniscus. RESULTS The optimized protocol harvested a greater number of cells (over 1×105) than the routine protocols. The cell suspension prepared with the optimized protocol showed a cell viability higher than 80%, the highest among the 3 methods. Analysis of single-cell RNA sequencing datasets showed that the ratio of the mitochondrial genes was below 20% in over 80% of the cells. CD34+ cells, MCAM+ cells and COL1A1+ cells were identified in the datasets. Comparison with the publish datasets showed that the optimized protocol was capable of harvesting COL3A1+, COL1A1+, MYLK+, BMP2+, CD93+ and CDK1+ cells. CONCLUSION Single-cell suspension prepared from the meniscus can be stably obtained using the optimized protocol for single-cell RNA sequencing using the 10× Genomics platform.
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Affiliation(s)
- N Chen
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - H Wu
- Zhujiang Hospital, Southern Medical University, Guangzhou 510080, China
| | - Z Deng
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Liao
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Feng
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Luo
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Chu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - G Qiu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Li
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Jin
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Rong
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - F Wang
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Gan
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Chen
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Zhao
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Deng Z, Lam TJGM, Hogeveen H, Koop G. Regularly fluctuating somatic cell count pattern in dairy herds. J Dairy Sci 2021; 104:11126-11134. [PMID: 34275629 DOI: 10.3168/jds.2020-20063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 06/04/2021] [Indexed: 11/19/2022]
Abstract
Online somatic cell count (SCC) measurement is widely used in dairy herds milked with automatic milking systems (AMS) and gives the opportunity to closely monitor individual cow udder health. Using automated SCC data, we observed cows displaying a remarkably regularly fluctuating SCC (rfSCC) pattern, which is described in this study. We aimed to (1) estimate the prevalence of rfSCC in cows milked by AMS, (2) characterize the rfSCC pattern, and (3) identify factors potentially associated with the rfSCC pattern. We analyzed 30-d episodes of composite SCC recordings of 1,000 cows from 55 dairy herds from 6 countries using an AMS with automated SCC measurement, and we identified the rfSCC pattern in 4.7% (95% CI: 3.5-6.2%) of these episodes. The rfSCC episodes had a median SCC of 701 × 1,000 cells/mL (2.5-97.5% quantile: 539-1,162), a median amplitude of 552 × 1,000 cells/mL (2.5-97.5% quantile: 409-886), and a median cycle length of 4.1 d (2.5-97.5% quantile: 3.7-4.9). Bacteriological culture data from quarter-milk samples collected every 2 wk in 1 Dutch AMS herd were analyzed, yielding no clear association between pathogen species and the rfSCC pattern found in that herd. Altogether, we described an intriguing phenomenon, present in almost 5% of the cows during a 1-mo study period. Further work is needed to quantify its importance in terms of udder health, but also to elucidate the mechanism behind this remarkable SCC pattern.
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Affiliation(s)
- Z Deng
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands.
| | - T J G M Lam
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands; Royal GD, PO Box 9, 7400 AA Deventer, the Netherlands
| | - H Hogeveen
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands; Chair Group Business Economics, Wageningen University and Research, PO Box 8130, 6700 EW Wageningen, the Netherlands
| | - G Koop
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands
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Deng Z, Chen M, Li J. 226 A positive feedback loop between mTORC1 and cathelicidin promotes skin inflammation in rosacea. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Jiang J, Wu RH, Zhou HL, Li ZM, Kou D, Deng Z, Dong M, Chen LH. TGIF2 promotes cervical cancer metastasis by negatively regulating FCMR. Eur Rev Med Pharmacol Sci 2021; 24:5953-5962. [PMID: 32572908 DOI: 10.26355/eurrev_202006_21488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We aimed at studying the correlation between TGIF2 expression and clinicopathological features of cervical cancer (CCa). The relationship between TGIF2 and FCMR and its influence on the proliferation and metastasis of tumor cells were investigated using molecular biology techniques, so as to reveal the pathogenesis of CCa and provide a new target for clinical treatment. PATIENTS AND METHODS TGIF2 expression in 60 pairs of cervical tumors and paracancerous tissues samples collected from CCa patients of our hospital was studied by quantitative real-time polymerase chain reaction (qPCR) analysis, and the association between TGIF2 expression and the clinical indicators or prognosis of CCa patients were analyzed. CCa cells with TGIF2 knockdown were constructed using transfection technology. Changes in the biological phenotypes (proliferation, migration, invasion) of CCa cells C33-A and HeLa after TGIF2 knockdown were determined by Cell Counting Kit-8 (CCK-8) and transwell assays. In addition, the effects of TGIF2/FCMR axis on CCa metastasis were further explored in nude mice in vivo. RESULTS Our data revealed a significant increase in TGIF2 mRNA expression in CCa tissue specimens compared to adjacent ones, and the increasing degree was positively correlated with the incidence of lymph node or distant metastasis of CCa patients. The results of CCK-8 and transwell suggested that knocking down TGIF2 effectively attenuated the proliferative ability and invasiveness of CCa cells. Luciferase assay confirmed that TGIF2 can directly bind to the DNA promoter of its target gene FCMR. Simultaneous transfection of sh-TGIF2 and sh-FCMR partially reversed the inhibitory effect of single transfection of TGIF2 knockdown on the malignant progression of CCa. Experiments in nude mice also suggested that TGIF2 could promote CCa tumorigenesis through the modulation of FCMR expression. CONCLUSIONS In summary, TGIF2 can promote the migration and proliferation ability of cervical cancer cells via down-regulating FCMR. Our study provides a new therapeutic target for the clinical treatment of cervical cancer.
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Affiliation(s)
- J Jiang
- Department of Gynecology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
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Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
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Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
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Deng Z, Xiong S. Quercetin Regulates Inflammatory Response of Retinal Ganglion Cells by Affecting the Tumor Necrosis Factor Receptor Associated Factor 6/Transforming Growth Factor-β-Activated Kinase-1 Signaling Pathway. Indian J Pharm Sci 2021. [DOI: 10.36468/pharmaceutical-sciences.886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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37
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Cui XL, Nie J, Ku J, Dougherty U, West-Szymanski DC, Collin F, Ellison CK, Sieh L, Ning Y, Deng Z, Zhao CWT, Bergamaschi A, Pekow J, Wei J, Beadell AV, Zhang Z, Sharma G, Talwar R, Arensdorf P, Karpus J, Goel A, Bissonnette M, Zhang W, Levy S, He C. A human tissue map of 5-hydroxymethylcytosines exhibits tissue specificity through gene and enhancer modulation. Nat Commun 2020; 11:6161. [PMID: 33268789 PMCID: PMC7710742 DOI: 10.1038/s41467-020-20001-w] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 11/03/2020] [Indexed: 02/06/2023] Open
Abstract
DNA 5-hydroxymethylcytosine (5hmC) modification is known to be associated with gene transcription and frequently used as a mark to investigate dynamic DNA methylation conversion during mammalian development and in human diseases. However, the lack of genome-wide 5hmC profiles in different human tissue types impedes drawing generalized conclusions about how 5hmC is implicated in transcription activity and tissue specificity. To meet this need, we describe the development of a 5hmC tissue map by characterizing the genomic distributions of 5hmC in 19 human tissues derived from ten organ systems. Subsequent sequencing results enabled the identification of genome-wide 5hmC distributions that uniquely separates samples by tissue type. Further comparison of the 5hmC profiles with transcriptomes and histone modifications revealed that 5hmC is preferentially enriched on tissue-specific gene bodies and enhancers. Taken together, the results provide an extensive 5hmC map across diverse human tissue types that suggests a potential role of 5hmC in tissue-specific development; as well as a resource to facilitate future studies of DNA demethylation in pathogenesis and the development of 5hmC as biomarkers.
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Affiliation(s)
- Xiao-Long Cui
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | - Ji Nie
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | - Jeremy Ku
- Bluestar Genomics Inc., San Diego, CA, USA
| | | | - Diana C West-Szymanski
- Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA.,Department of Medicine, University of Chicago, Chicago, IL, USA
| | | | | | - Laura Sieh
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | | | - Zifeng Deng
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Carolyn W T Zhao
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | | | - Joel Pekow
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Jiangbo Wei
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | - Alana V Beadell
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Geeta Sharma
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | | | | | - Jason Karpus
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA
| | - Ajay Goel
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | | | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA. .,Howard Hughes Medical Institute, University of Chicago, Chicago, IL, USA.
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38
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Deng Z, Tutunnikov I, Averbukh IS, Thachuk M, Krems RV. Bayesian optimization for inverse problems in time-dependent quantum dynamics. J Chem Phys 2020; 153:164111. [DOI: 10.1063/5.0015896] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Z. Deng
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada
| | - I. Tutunnikov
- AMOS and Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I. Sh. Averbukh
- AMOS and Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M. Thachuk
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada
| | - R. V. Krems
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada
- Quantum Matter Institute, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
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39
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Wei D, Zeng S, Hou D, Zhou R, Xing C, Deng X, Yu L, Wang H, Deng Z, Weng S, Huang Z, He J. Community diversity and abundance of ammonia-oxidizing archaea and bacteria in shrimp pond sediment at different culture stages. J Appl Microbiol 2020; 130:1442-1455. [PMID: 33021028 DOI: 10.1111/jam.14846] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 08/25/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023]
Abstract
AIMS Ammonia oxidation is a significant process of nitrogen cycles in a lot of ecosystems sediments while there are few studies in shrimp culture pond (SCP) sediments. This paper attempted to explore the community diversity and abundance of ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB) in SCP sediments at different culture stages. METHODS AND RESULTS We collected SCP sediments and analysed the community diversity and abundance of AOA and bacteria in shrimp pond sediment at different culture stages using the ammonia monooxygenase (amoA) gene with quantitative PCR (qPCR) and 16S rRNA gene sequencing. The AOB-amoA gene abundance was showed higher than AOA-amoA gene abundance in SCP sediments on Day 50 and Day 60 after shrimp larvae introducing into the pond, and the diversity of AOA in SCP sediments was higher than that of AOB. The phylogenetic tree revealed that the most of AOA were the member of Nitrosopumilus and Nitrososphaera, and the majority of AOB sequences were clustered into Nitrosospira, Nitrosomonas clusters 6a and 7. The AOA community has close relationship with total organic carbon (TOC), pH, total phosphorus (TP), nitrate reductase, urease, acid phosphatase and β-glucosidase. The AOB community was related to TOC, C/N and nitrate reductase. CONCLUSIONS AOA and AOB play the different ecological roles in SCP sediments at different culture stages. SIGNIFICANCE AND IMPACT OF THE STUDY Our results suggested that the different community diversity and abundance of AOA and AOB in SCP sediments, which may improve our ecological cognition of shrimp culture stages in SCP ecosystems.
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Affiliation(s)
- D Wei
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - S Zeng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - D Hou
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - R Zhou
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - C Xing
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - X Deng
- Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - L Yu
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - H Wang
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - Z Deng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - S Weng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - Z Huang
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - J He
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
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Sun G, Zheng C, Deng Z, Huang C, Huang J. TRAF5 promotes the occurrence and development of colon cancer via the activation of PI3K/AKT/NF-κB signaling pathways. J BIOL REG HOMEOS AG 2020; 34:1257-1268. [PMID: 32911926 DOI: 10.23812/19-520-a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This study aimed to investigate the expression and biological functions of TRAF5 in colon cancer at tissue and cellular levels. Forty-two patients with colon cancer were included in the present study. Tumor tissues and tumor-adjacent tissues were collected from all patients. Bioinformatics was used to analyze how TRAF5 was related to metastasis and prognosis of colon cancer. Quantitative real-time polymerase chain reaction was carried out to determine the expression of mRNA. SW620 and SW480 cells were used to study the inhibition and overexpression of TRAF5, respectively. CCK-8 assay was used to examine cell proliferation. Flow cytometry was employed to investigate cell phase and apoptosis. Transwell assay was used to study migration and invasion of cells. Western blotting was utilized to test how TRAF5 expression affected the activities of PI3K/AKT/NF-κB signaling pathways. Bioinformatics showed that the expression of TRAF5 in colon cancer tissues was correlated with metastasis and prognosis of the tumor. TRAF5 mRNA expression was up-regulated in colon cancer tissues, and related to recurrence and metastasis of the cancer. In vitro experiments showed that TRAF5 expression promoted proliferation, migration, and invasion of colon cancer cells, but reduced apoptosis of the cells. Moreover, TRAF5 might exert its biological functions by activating PI3K/AKT/NF-κB signaling pathways in colon cancer cells. In conclusion, TRAF5 expression in colon cancer tissues is up-regulated and correlated with prognosis, lymphatic metastasis and clinical staging. TRAF5 promotes the occurrence and development of colon cancer by activating PI3K/ AKT/NF-κB signaling pathways, and acts as an oncogene.
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Affiliation(s)
- G Sun
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.,Department of Clinical Nutrition, The Third Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
| | - C Zheng
- Department of Anatomy, Guangxi University of Chinese Medicine, Nanning, P.R. China
| | - Z Deng
- Department of Clinical Nutrition, The Third Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
| | - C Huang
- Department of Oncology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
| | - J Huang
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
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Deng Z, Lam T, Hogeveen H, Spaninks M, Heij N, Postema M, van Werven T, Koop G. Antimicrobial use and farmers' attitude toward mastitis treatment on dairy farms with automatic or conventional milking systems. J Dairy Sci 2020; 103:7302-7314. [DOI: 10.3168/jds.2019-17960] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/18/2020] [Indexed: 11/19/2022]
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42
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Li W, Dong Y, Wang KJ, Deng Z, Zhang W, Shen HF. Plasma exosomal miR-125a-5p and miR-141-5p as non-invasive biomarkers for prostate cancer. Neoplasma 2020; 67:1314-1318. [PMID: 32614237 DOI: 10.4149/neo_2020_191130n1234] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 01/31/2020] [Indexed: 11/08/2022]
Abstract
Predictive biomarkers for early diagnosis of prostate cancer are important for its treatment. The functional microRNAs in the exosomes of plasma and serum samples are of interest as stable and non-invasive biomarkers for recurrence in cancer patients. The present study aimed to clarify the value of plasma exosomal miRNA-125a-5p and miR-141-5p as biomarkers for the diagnosis of prostate cancer. The study included 19 healthy individuals and 31 prostate cancer patients. In comparison to the levels in healthy controls, exosomal miR-141-5p levels showed a slight increase in prostate cancer patients (p=0.085), and miR-125a-5p levels that showed a significant decrease in patients with prostate cancer than in healthy controls (p=0.032). As a derived parameter, the miR-125a-5p/miR-141-5p ratio was significantly higher in patients with prostate cancer than in healthy controls (p<0.001). We found that exosomal miR-141-5p in plasma showed a promise in distinguishing prostate cancer patients with the AUC of 0.652, and for miR-125a-5p, the AUC was 0.691. For the miR-125a-5p/miR-141-5p ratio, the AUC value was 0.793. We found that miR-125a-5p has a weak positive correlation with PSA (correlation coefficient = 0.3413). Moreover, miR-141-5p has been found to hold a negatively no-significant correlation with PSA, with the correlation coefficient is -0.1102. We speculate that, as diagnostic markers for prostate cancer, miR-125-5p and miR-141-5p might be independent of the PSA. In summary, the results of this study suggest that high plasma exosomal expression of miR-141-3p and low expression of miR-125a-5p in plasma exosomes from prostate cancer patients might be useful markers of specific tumor traits associated with prostate cancer. Moreover, the miR-125a-5p/miR-141-5p ratio seems to perform better than either of the single values alone.
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Affiliation(s)
- W Li
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China
| | - Y Dong
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China.,Department of Urology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - K J Wang
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China
| | - Z Deng
- Department of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China
| | - W Zhang
- Department of Urology, 81th Hospital affiliated to Nanjing University of Chinese Medicine, Nanjing, China
| | - H F Shen
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China
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Yuan WH, Liu HL, Wei WZ, Ma ZY, Hao P, Deng Z, Deng K, Zhang J, Lu ZH. In Situ Measurement of Vacuum Window Birefringence using 25Mg+ Fluorescence. J Vis Exp 2020. [PMID: 32597872 DOI: 10.3791/61175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Accurate control of the polarization states of laser light is important in precision measurement experiments. In experiments involving the use of a vacuum environment, the stress-induced birefringence effect of the vacuum windows will affect the polarization states of laser light inside the vacuum system, and it is very difficult to measure and optimize the polarization states of the laser light in situ. The purpose of this protocol is to demonstrate how to optimize the polarization states of the laser light based on the fluorescence of ions in the vacuum system, and how to calculate the birefringence of vacuum windows based on azimuthal angles of external wave plates with Mueller matrix. The fluorescence of 25Mg+ ions induced by laser light that is resonant with the transition of |32P3/2,F = 4, mF = 4 → |32S1/2,F = 3, mF = 3 is sensitive to the polarization state of the laser light, and maximum fluorescence will be observed with pure circularly polarized light. A combination of half-wave plate (HWP) and quarter-wave plate (QWP) can achieve arbitrary phase retardation and is used for compensating the birefringence of the vacuum window. In this experiment, the polarization state of the laser light is optimized based on the fluorescence of 25Mg+ ion with a pair of HWP and QWP outside the vacuum chamber. By adjusting the azimuthal angles of the HWP and QWP to obtain maximum ion fluorescence, one can obtain a pure circularly polarized light inside the vacuum chamber. With the information on the azimuthal angles of the external HWP and QWP, the birefringence of the vacuum window can be determined.
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Affiliation(s)
- W H Yuan
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - H L Liu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology;
| | - W Z Wei
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - Z Y Ma
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - P Hao
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - Z Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - K Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - J Zhang
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - Z H Lu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology;
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Dai X, Deng Z, Liang Y, Chen L, Jiang W, Zhao W. Enterococcus faecalis
induces necroptosis in human osteoblastic MG63 cells through the RIPK3 / MLKL signalling pathway. Int Endod J 2020; 53:1204-1215. [PMID: 32379949 DOI: 10.1111/iej.13323] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 05/01/2020] [Indexed: 12/12/2022]
Affiliation(s)
- X. Dai
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - Z. Deng
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - Y. Liang
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - L. Chen
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - W Jiang
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - W. Zhao
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
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Zhao L, Qiu G, Wang K, Chen H, Ruan F, Liu N, Deng Z, Yao Y, Guo D, Wang D, Sha L, Kong X, Liu W, Zhang Y. A nano-integrated diagnostic and therapeutic platform with oxidation-reduction reactions in tumor microenvironments. Nanoscale Adv 2020; 2:2192-2202. [PMID: 36132527 PMCID: PMC9418791 DOI: 10.1039/c9na00786e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 03/07/2020] [Indexed: 05/15/2023]
Abstract
In the present study, we developed a nano-integrated diagnostic and therapeutic platform with oxidation-reduction reactions in tumor microenvironments (TMEs). The proposed platform resolved the contradiction of particle size between the enhanced permeability and retention (EPR) effect and tumor interstitial penetration, as well as poor circulation and low drug-loading efficiency. Flower-like MnO2 NPs were used as the core and modified with hyaluronate (HA) and H2PtCl6 to obtain MnO2-HA@H2PtCl6 (MHP). The maximum drug-loading efficiency rate of H2PtCl6 reached 35% due to its chelation with HA. MHP showed satisfactory integrity and stability during circulation and can also be used as a magnetic resonance imaging (MRI) contrast agent. In addition, MHP as a radiosensitizer achieved an excellent tumor inhibition effect in combination with radiotherapy. Importantly, MHP released ultra-small nanoparticles, USNPs, (∼20 nm) through the supramolecular self-assembly abilities of Mn2+, HA, and H2PtCl6 in TMEs, leading to the increase of penetration into multicellular spheres and solid tumors (Scheme), as well as prolonging its retention in tumors.
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Affiliation(s)
- Lei Zhao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
- Affiliated Zhongshan Hospital of Dalian University Dalian Liaoning 116001 PR China
| | - Guihua Qiu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Kai Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Hu Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Fengkai Ruan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Nan Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Zifeng Deng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Youliang Yao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Dongbei Guo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Dai Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
| | - Li Sha
- Affiliated Zhongshan Hospital of Dalian University Dalian Liaoning 116001 PR China
| | - Xiangyu Kong
- Affiliated Zhongshan Hospital of Dalian University Dalian Liaoning 116001 PR China
| | - Wenzhi Liu
- Affiliated Zhongshan Hospital of Dalian University Dalian Liaoning 116001 PR China
| | - Yongxing Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University Xiamen Fujian 361102 PR China
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Wang Y, Chen B, Sun Y, Zhang J, Zhu Q, Yang Y, Niu X, Li Q, Deng Z. Human embryonic stem cell-derived exosomes promote pressure ulcer healing in aged mice by rejuvenating senescent endothelial cells. Cytotherapy 2020. [DOI: 10.1016/j.jcyt.2020.04.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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47
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Chen R, Chen Y, Yuan Y, Zou X, Sun Q, Lin H, Chen X, Liu M, Deng Z, Yao Y, Guo D, Zhang Y. Cx43 and AKAP95 regulate G1/S conversion by competitively binding to cyclin E1/E2 in lung cancer cells. Thorac Cancer 2020; 11:1594-1602. [PMID: 32338437 PMCID: PMC7262948 DOI: 10.1111/1759-7714.13435] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 01/23/2020] [Revised: 03/24/2020] [Accepted: 03/25/2020] [Indexed: 01/09/2023] Open
Abstract
Background This study aimed to overexpress or silence connexin 43 (Cx43) and A‐kinase anchoring protein 95 (AKAP95) in human A549 cells to explore their effects on cyclins and on G1/S conversion when the interrelationship of Cx43, AKAP95, and cyclin E1/E2 changes. Methods The study mainly used Western blot analysis and Co‐immuno precipitation to detect the target protein in Cx43/AKAP95 over expressed human A549 cells, and the relationship of proteins Cx43, AKAP95 and Cyclin E during G1‐S phase was explored with qualitative and quantitative analysis. Results The overexpression of Cx43 inhibited the expression of cyclin D1 and E1 by accelerating their degradation and reduced the Cdk2 activity that blocked the DNA transcription activity. However, the overexpression of AKAP95 increased the expression of cyclin D1 and E1 and inhibited their degradation, and enhanced the Cdk2 activity that promoted the DNA transcription activity. Cx43 and AKAP95 competitively bound to cyclin E1/E2, and the competitive binding affected the Cdk2 activity, Rb phosphorylation, DNA transcription activity, and G1/S conversion. Conclusions This study showed that the expression of ERK1/2, PKA, and PKB increased when BEAS‐2B cells were treated with PDGF‐BB, suggesting that ERK1/2, PKA, and PKB might be involved in the binding of AKAP95 with cyclin E, or the separation of AKAP95 from Cx43 from cyclin E1/E2. The specific mechanism underlying this process still needs further exploration.
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Affiliation(s)
- Renzhen Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Yu Chen
- School of Medicine, Xiamen University, Xiamen, China
| | - Yangyang Yuan
- Henan provincial Clinical Research Center for Perinatal Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xuan Zou
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Qian Sun
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Hongyan Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Xiaoyi Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Mingda Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Zifeng Deng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Youliang Yao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Dongbei Guo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Yongxing Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
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48
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Deng Z, Oraby E, Eksteen J. Cu adsorption behaviours onto chelating resins from glycine-cyanide solutions: Isotherms, kinetics and regeneration studies. Sep Purif Technol 2020. [DOI: 10.1016/j.seppur.2019.116280] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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49
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She Z, Jia LP, Yue Q, Ma H, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Dai WH, Deng Z, Geng XP, Gong H, Gu P, Guo QJ, Guo XY, He L, He SM, He HT, Hu JW, Huang TC, Huang HX, Li HB, Li H, Li JM, Li J, Li MX, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Qiao CK, Ren J, Ruan XC, Sevda B, Shang CS, Sharma V, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wang Z, Wong HT, Wu SY, Xing HY, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang L, Zhang FS, Zhang ZY, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Direct Detection Constraints on Dark Photons with the CDEX-10 Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2020; 124:111301. [PMID: 32242731 DOI: 10.1103/physrevlett.124.111301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/26/2020] [Indexed: 06/11/2023]
Abstract
We report constraints on the dark photon effective kinetic mixing parameter (κ) with data taken from two p-type point-contact germanium detectors of the CDEX-10 experiment at the China Jinping Underground Laboratory. The 90% confidence level upper limits on κ of solar dark photon from 205.4 kg-day exposure are derived, probing new parameter space with masses (m_{V}) from 10 to 300 eV/c^{2} in direct detection experiments. Considering dark photon as the cosmological dark matter, limits at 90% confidence level with m_{V} from 0.1 to 4.0 keV/c^{2} are set from 449.6 kg-day data, with a minimum of κ=1.3×10^{-15} at m_{V}=200 eV/c^{2}.
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Affiliation(s)
- Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - P Gu
- College of Physics, Sichuan University, Chengdu 610064
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H T He
- College of Physics, Sichuan University, Chengdu 610064
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai, 519082
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M X Li
- College of Physics, Sichuan University, Chengdu 610064
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - C K Qiao
- College of Physics, Sichuan University, Chengdu 610064
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - C S Shang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - Z Wang
- College of Physics, Sichuan University, Chengdu 610064
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610064
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- NUCTECH Company, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610064
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610064
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50
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Xu X, Zhou W, Chen Y, Wu K, Wang H, Zhang J, Zhou Y, Zeng J, Yang J, Deng Z, Zhang Y, Shen W. Immediate early response protein 2 promotes the migration and invasion of hepatocellular carcinoma cells via regulating the activity of Rho GTPases. Neoplasma 2020; 67:614-622. [PMID: 32009420 DOI: 10.4149/neo_2020_190818n781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 10/08/2019] [Indexed: 11/08/2022]
Abstract
Human immediate early response 2 (IER2) has been implicated in tumor cell motility and metastasis; however, the underlying mechanisms in hepatocellular carcinoma (HCC) metastasis remain to be clarified. In this study, we demonstrate that dysregulation of IER2 was shown in HCC clinical samples, and IER2 expression resulted in the promotion of cell migration and invasion in vitro, and HCC tumor growth and pulmonary metastasis in vivo. Moreover, we showed that IER2 expression altered assembly of the actin cytoskeleton rearrangement. Furthermore, MAPK and PI3K/Akt signaling pathways induced by IER2 were confirmed to be probably involved in regulating the activity of Rho GTPases, such as RhoA, Rac1 and Cdc42. Collectively, our results indicated a significant role of IER2 in the HCC cell motility and metastasis through MAPK and PI3K/Akt signaling pathways to regulate the activity of Rho GTPases, thereby modulating actin cytoskeleton rearrangement, unveiling a novel mechanism of cell motility regulation induced by IER2.
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Affiliation(s)
- X Xu
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - W Zhou
- Department of Internal Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Y Chen
- Department of Internal Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - K Wu
- Department of Internal Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - H Wang
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - J Zhang
- Department of Internal Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Y Zhou
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - J Zeng
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - J Yang
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - Z Deng
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - Y Zhang
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - W Shen
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China.,Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, China
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