1
|
Wang X, Chen W, Qiu X, Guo J, You C, Ma L. Hematocrit drift and outcomes in surgical patients with aneurysmal subarachnoid hemorrhage. Acta Neurochir (Wien) 2024; 166:202. [PMID: 38703244 DOI: 10.1007/s00701-024-06097-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND There is a paucity of conclusive evidence regarding the impact of downward drift in hematocrit levels among patients who have undergone surgical clipping for aneurysmal subarachnoid hemorrhage (aSAH). This study endeavors to explore the potential association between hematocrit drift and mortality in this specific patient population. METHODS A cohort study was conducted, encompassing adult patients diagnosed with aSAH at a university hospital. The primary endpoint was follow-up mortality. Propensity score matching was employed to align patients based on their baseline characteristics. Discrimination capacity across various models was assessed and compared using net reclassification improvement (NRI). RESULTS Among the 671 patients with aSAH in the study period, 118 patients (17.6%) experienced an in-hospital hematocrit drift of more than 25%. Following adjustment with multivariate regression analysis, patients with elevated hematocrit drift demonstrated significantly increased odds of mortality (aOR: 2.12, 95% CI: 1.14 to 3.97; P = 0.019). Matching analysis yielded similar results (aOR: 2.07, 95% CI: 1.05 to 4.10; P = 0.036). The inclusion of hematocrit drift significantly improved the NRI (P < 0.0001) for mortality prediction. When in-hospital hematocrit drift was served as a continuous variable, each 10% increase in hematocrit drift corresponded to an adjusted odds ratio of 1.31 (95% CI 1.08-1.61; P = 0.008) for mortality. CONCLUSIONS In conclusion, the findings from this comprehensive cohort study indicate that a downward hematocrit drift exceeding 25% independently predicts mortality in surgical patients with aSAH. These findings underscore the significance of monitoring hematocrit and managing anemia in this patient population.
Collapse
Affiliation(s)
- Xing Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Wuqian Chen
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Xingyu Qiu
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Jiulin Guo
- Information Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Lu Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
| |
Collapse
|
2
|
Wang C, Wang Z, Fu L, Du J, Ji F, Qiu X. CircNRCAM up-regulates NRCAM to promote papillary thyroid carcinoma progression. J Endocrinol Invest 2024; 47:1215-1226. [PMID: 38485895 DOI: 10.1007/s40618-023-02241-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 11/04/2023] [Indexed: 04/23/2024]
Abstract
PURPOSE Papillary Thyroid Carcinoma (PTC) is the most prevalent subtype of Thyroid Carcinoma (THCA), a type of malignancy in the endocrine system. According to prior studies, Neural Cell Adhesion Molecule (NRCAM) has been found to be up-regulated in PTC and stimulates the proliferation and migration of PTC cells. However, the specific mechanism of NRCAM in PTC cells is not yet fully understood. Consequently, this study aimed to investigate the underlying mechanism of NRCAM in PTC cells, the findings of which could provide new insights for the development of potential treatment targets for PTC. METHODS AND RESULTS Bioinformatics tools were utilized and a series of experiments were conducted, including Western blot, colony formation, and dual-luciferase reporter assays. The data collected indicated that NRCAM was overexpressed in THCA tissues and PTC cells. Circular RNA NRCAM (circNRCAM) was found to be highly expressed in PTC cells and to positively regulate NRCAM expression. Through loss-of-function assays, both circNRCAM and NRCAM were shown to promote the proliferation, invasion, and migration of PTC cells. Mechanistically, this study confirmed that precursor microRNA-506 (pre-miR-506) could bind with m6A demethylase AlkB Homolog 5 (ALKBH5), leading to its m6A demethylation. It was also discovered that circNRCAM could competitively bind to ALKBH5, which restrained miR-506-3p expression and promoted NRCAM expression. CONCLUSION In summary, circNRCAM could up-regulate NRCAM by down-regulating miR-506-3p, thereby enhancing the biological behaviors of PTC cells.
Collapse
Affiliation(s)
- C Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Z Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - L Fu
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - J Du
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - F Ji
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - X Qiu
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China.
| |
Collapse
|
3
|
Qiu X, Guo JJ, Jin CC, He J, Wang L, Yang BC, Zhang YH, Zhu BS, Tang XH. [Efficiency of CNV-seq in detecting fetal DMD gene deletion or duplication in prenatal diagnosis]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:279-287. [PMID: 38644274 DOI: 10.3760/cma.j.cn112141-20230919-00107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective: To evaluate the diagnostic efficiency of copy number variation sequencing (CNV-seq) to detect the deletion or duplication of DMD gene in prenatal diagnosis. Methods: A retrospective analysis was carried out on the CNV-seq results of 34 544 fetuses diagnosed in the First People's Hospital of Yunnan Province from January 2018 to July 2023. A total of 156 cases of fetuses were collected, including Group 1:125 cases with family history of Duchenne muscular dystrophy or Becker muscular dystrophy (DMD/BMD), and Group 2:31 cases with no family history but a DMD gene deletion or duplication was detected unexpectedly by CNV-seq. Multiplex ligation-dependent probe amplification (MLPA) was used as a standard method to detect the deletion or duplication. Consistency test was carried out basing on the results of CNV-seq and MLPA of all 156 cases. Results: Comparing to MLPA, CNV-seq had a coincidence rate of 92.3% (144/156) for DMD gene deletion or duplication, with a sensitivity and positive predictive value of 88.2%, with a specificity and negative predictive value of 94.3%, a missed detection rate of 3.8%, and a Kappa value of 0.839. CNV-seq missed 4 cases with deletions and 2 with duplications due to involved fragments less than 100 Kb, among 20 cases of deletions and 6 cases of duplications detected by MLPA in Group 1. In Group 2, the deletions and duplications detected by CNV-seq were 42% (13/31) and 58% (18/31), respectively, in which the percentage of duplication was higher than that in Group 1. Among those 18 cases with duplications, 3 cases with duplication locating in exon 42~67 were likely pathogenic; while 9 cases with duplication covering the 5' or 3' end of the DMD gene, containing exon 1 or 79 and with only one breakpoint within the gene, along with the last 6 cases with duplications locating at chrX: 32650635_32910000 detected only by CNV-seq, which might be judged as variants of uncertain significance. Conclusions: CNV-seq has a good efficiency to detect fetal DMD gene deletion or duplication in prenatal diagnosis, while a further verification test by MLPA is recommended. The duplications on chrX: 32650635_32910000, 5' or 3' end of DMD gene detected by CNV-seq should be carefully verified and assessed because those variants appear to be nonpathogenic polymorphisms.
Collapse
Affiliation(s)
- X Qiu
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - J J Guo
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - C C Jin
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - J He
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - L Wang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - B C Yang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - Y H Zhang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - B S Zhu
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - X H Tang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| |
Collapse
|
4
|
Shin J, Park J, Jeong J, Lam JH, Qiu X, Wu D, Kim K, Lee JY, Robinson CV, Hyun J, Katritch V, Kim KP, Cho Y. Constitutive activation mechanism of a class C GPCR. Nat Struct Mol Biol 2024; 31:678-687. [PMID: 38332368 DOI: 10.1038/s41594-024-01224-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 01/09/2024] [Indexed: 02/10/2024]
Abstract
Class C G-protein-coupled receptors (GPCRs) are activated through binding of agonists to the large extracellular domain (ECD) followed by rearrangement of the transmembrane domains (TMDs). GPR156, a class C orphan GPCR, is unique because it lacks an ECD and exhibits constitutive activity. Impaired GPR156-Gi signaling contributes to loss of hearing. Here we present the cryo-electron microscopy structures of human GPR156 in the Go-free and Go-coupled states. We found that an endogenous phospholipid molecule is located within each TMD of the GPR156 dimer. Asymmetric binding of Gα to the phospholipid-bound GPR156 dimer restructures the first and second intracellular loops and the carboxy-terminal part of the elongated transmembrane 7 (TM7) without altering dimer conformation. Our findings reveal that GPR156 is a transducer for phospholipid signaling. Constant binding of abundant phospholipid molecules and the G-protein-induced reshaping of the cytoplasmic face provide a basis for the constitutive activation of GPR156.
Collapse
Affiliation(s)
- Jinwoo Shin
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Junhyeon Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Jieun Jeong
- Department of Applied Chemistry, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Republic of Korea
| | - Jordy Homing Lam
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
- Bridge Institute and Michelson Center for Convergent Biosciences, University of Southern California, Los Angeles, CA, USA
| | - Xingyu Qiu
- Department of Chemistry, University of Oxford, Oxford, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, UK
| | - Di Wu
- Department of Chemistry, University of Oxford, Oxford, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, UK
| | - Kuglae Kim
- Department of Pharmacy, Yonsei University, Incheon, Republic of Korea
| | - Joo-Youn Lee
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology, 141 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea
| | - Carol V Robinson
- Department of Chemistry, University of Oxford, Oxford, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, UK
| | - Jaekyung Hyun
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Vsevolod Katritch
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
- Bridge Institute and Michelson Center for Convergent Biosciences, University of Southern California, Los Angeles, CA, USA
- Center for New Technologies in Drug Discovery and Development, University of Southern California, Los Angeles, CA, USA
- Department of Chemistry, University of Southern California, Los Angeles, CA, USA
| | - Kwang Pyo Kim
- Department of Applied Chemistry, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Republic of Korea.
- Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Republic of Korea.
| | - Yunje Cho
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.
- Department of Medical Science and Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea.
| |
Collapse
|
5
|
He Z, Sa R, Zhang K, Wang J, Qiu X, Chen L. Optimizing the indication of initial radioiodine oncolytic treatment for metastatic differentiated thyroid cancer by diagnostic 131I scan. Clin Radiol 2024:S0009-9260(24)00185-5. [PMID: 38641445 DOI: 10.1016/j.crad.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/27/2024] [Accepted: 03/25/2024] [Indexed: 04/21/2024]
Abstract
AIM As a classic theranostic radiopharmaceutical, radioiodine (131I) has been utilized in the management of differentiated thyroid cancer (DTC) for more than 8 decades, and the refinement of its clinical practice has been raised recently. This study was conducted to evaluate the efficiency of a diagnostic (Dx) 131I scan in optimizing the indication of initial radioiodine oncolytic treatment (ROT) for metastatic DTC by predicting therapeutic outcomes. RESULTS A total of 100 patients (Dx positive, n=29; Dx negative, n=71) were eligible for patient-based analysis. The matching rate was 83.0% between the Dx and the post-therapeutic scans (kappa = 0.648, P<0.001). The biochemical remission rate and structural shrinkage rate induced by the initial ROT in the Dx-positive group were, respectively, greater than those in the Dx-negative group (83.3% vs. 17.4%, P<0.001; 37.9% vs. 4.2%, P<0.001). Notably, the predictive values of positive Dx scans for ROT responsiveness and negative Dx scans for ROT nonresponsiveness reached up to 89.7% and 84.5%, respectively. CONCLUSION This Dx scan approach seems viable in characterizing the 131I-avidity of metastatic DTC and plays a pivotal role in optimizing the indication of initial ROT for metastatic DTC.
Collapse
Affiliation(s)
- Z He
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - R Sa
- Department of Nuclear Medicine, The First Hospital of Jilin University, 1(#) Xinmin St, Changchun 130021, People's Republic of China.
| | - K Zhang
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - J Wang
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - X Qiu
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - L Chen
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| |
Collapse
|
6
|
Wang Y, Xu L, Zhang Y, Fu H, Gao L, Guan Y, Gu W, Sun J, Chen X, Yang F, Lai E, Wang J, Jin Y, Kou Z, Qiu X, Mao J, Hu L. Dent disease 1-linked novel CLCN5 mutations result in aberrant location and reduced ion currents. Int J Biol Macromol 2024; 257:128564. [PMID: 38061527 DOI: 10.1016/j.ijbiomac.2023.128564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/12/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023]
Abstract
Dent disease is a rare renal tubular disease with X-linked recessive inheritance characterized by low molecular weight proteinuria (LMWP), hypercalciuria, and nephrocalcinosis. Mutations disrupting the 2Cl-/1H+ exchange activity of chloride voltage-gated channel 5 (CLCN5) have been causally linked to the most common form, Dent disease 1 (DD1), although the pathophysiological mechanisms remain unclear. Here, we conducted the whole exome capture sequencing and bioinformatics analysis within our DD1 cohort to identify two novel causal mutations in CLCN5 (c.749 G > A, p. G250D, c.829 A > C, p. T277P). Molecular dynamics simulations of ClC-5 homology model suggested that these mutations potentially may induce structural changes, destabilizing ClC-5. Overexpression of variants in vitro revealed aberrant subcellular localization in the endoplasmic reticulum (ER), significant accumulation of insoluble aggregates, and disrupted ion transport function in voltage clamp recordings. Moreover, human kidney-2 (HK-2) cells overexpressing either G250D or T277P displayed higher cell-substrate adhesion, migration capability but reduced endocytic function, as well as substantially altered transcriptomic profiles with G250D resulting in stronger deleterious effects. These cumulative findings supported pathogenic role of these ClC-5 mutations in DD1 and suggested a cellular mechanism for disrupted renal function in Dent disease patients, as well as a potential target for diagnostic biomarker or therapeutic strategy development.
Collapse
Affiliation(s)
- Yan Wang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Lizhen Xu
- Department of Biophysics, and Kidney Disease Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Ying Zhang
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Haidong Fu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Langping Gao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yuelin Guan
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Weizhong Gu
- Department of Pathology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jingmiao Sun
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xiangjun Chen
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Fan Yang
- Department of Biophysics, and Kidney Disease Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - EnYin Lai
- Department of Physiology School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Wang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yanyan Jin
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ziqi Kou
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China
| | - Xingyu Qiu
- Department of Physiology School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhua Mao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
| | - Lidan Hu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
| |
Collapse
|
7
|
Wang X, Chen W, Guo J, Qiu X, You C, Ma L. Association between antithrombotic therapy and mortality in patients hospitalized for COVID‑19. Thromb J 2024; 22:5. [PMID: 38178082 PMCID: PMC10768353 DOI: 10.1186/s12959-023-00572-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/13/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND The prothrombotic state is a common abnormality in patients with coronavirus disease 2019 (COVID-19). However, there is controversy over the use of anticoagulants, especially oral anticoagulants (OAC) due to limited studies. We sought to evaluate the association between antithrombotic therapy on mortality and clinical outcomes in patients hospitalized for COVID-19 through propensity score matching (PSM) analysis. METHODS A retrospective cohort study was performed to include adult patients with COVID-19 in a university hospital. The primary outcome was in-hospital mortality. Secondary outcomes included intensive care unit (ICU) admission, mechanical ventilation, and acute kidney injury (AKI) during hospitalization. PSM was used as a powerful tool for matching patients' baseline characteristics. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) were calculated from the models. RESULTS Of 4,881 COVID-19 patients during the study period, 690 (14.1%) patients received antithrombotic therapy and 4,191 (85.9%) patients were under no antithrombotic therapy. After adjustment with multivariate regression analysis, patients receiving OAC, compared with those who did not receive any antithrombotic therapy, had significantly lower odds for in-hospital mortality (aOR: 0.46. 95% CI: 0.24 to 0.87; P= 0.017). PSM analysis observed similar results (aOR: 0.35. 95% CI: 0.19 to 0.61; P< 0.001). Moreover, in critically ill patients who received mechanical ventilation, antithrombotic treatment (aOR: 0.54. 95% CI: 0.32 to 0.89; P= 0.022) was associated with reduced risk of mortality. CONCLUSIONS The application OACs was associated with reduced hospital mortality and mechanical ventilation requirement in COVID-19 patients. Besides, antithrombotic treatment was associated with a reduction in in-hospital mortality among critically ill COVID-19 patients who required mechanical ventilation.
Collapse
Affiliation(s)
- Xing Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wuqian Chen
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiulin Guo
- Information Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xingyu Qiu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lu Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| |
Collapse
|
8
|
Chen Q, Fu C, Qiu X, He J, Zhao T, Zhang Q, Hu X, Hu H. Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion. Clin Radiol 2024; 79:e26-e33. [PMID: 37926647 DOI: 10.1016/j.crad.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/07/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023]
Abstract
AIM To investigate the value of non-contrast CT (NCCT)-based two-dimensional (2D) radiomics features in predicting haematoma expansion (HE) after spontaneous intracerebral haemorrhage (ICH) and compare its predictive ability with the three-dimensional (3D) signature. MATERIALS AND METHODS Three hundred and seven ICH patients who received baseline NCCT within 6 h of ictus from two stroke centres were analysed retrospectively. 2D and 3D radiomics features were extracted in the manner of one-to-one correspondence. The 2D and 3D models were generated by four different machine-learning algorithms (regularised L1 logistic regression, decision tree, support vector machine and AdaBoost), and the receiver operating characteristic (ROC) curve was used to compare their predictive performance. A robustness analysis was performed according to baseline haematoma volume. RESULTS Each feature type of 2D and 3D modalities used for subsequent analyses had excellent consistency (mean ICC >0.9). Among the different machine-learning algorithms, pairwise comparison showed no significant difference in both the training (mean area under the ROC curve [AUC] 0.858 versus 0.802, all p>0.05) and validation datasets (mean AUC 0.725 versus 0.678, all p>0.05), and the 10-fold cross-validation evaluation yielded similar results. The AUCs of the 2D and 3D models were comparable either in the binary or tertile volume analysis (all p>0.5). CONCLUSION NCCT-derived 2D radiomics features exhibited acceptable and similar performance to the 3D features in predicting HE, and this comparability seemed unaffected by initial haematoma volume. The 2D signature may be preferred in future HE-related radiomic works given its compatibility with emergency condition of ICH.
Collapse
Affiliation(s)
- Q Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - C Fu
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Qiu
- Department of Radiology, Qian Tang District of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J He
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - T Zhao
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Q Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| |
Collapse
|
9
|
Nie D, Kong L, Zhang Y, Qiu X, Fu Y, Gu J. Mechanical Performance and Failure Analysis of a 3D-Printed "Continuous Layer-Lattice Layer-Continuous Layer" Sandwich Structure. Polymers (Basel) 2023; 15:4283. [PMID: 37959964 PMCID: PMC10649593 DOI: 10.3390/polym15214283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/28/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
Sandwich structures are engineered with continuous layers surrounding the inner lattices, which combines the advantages of the high strength of the continuous layer and the light weight of the lattice layer. They are widely employed in weight-critical energy-absorbing engineering fields such as aerospace, automobile, and robotics. However, the application of sandwich structures made of polymer matrix composites is still limited due to lack of essential performance investigation and adequate reference data. The following innovative works are accomplished in this paper: (i) Continuous long glass fiber (CGF) is employed within the continuous layer of the sandwich structure, with composite short carbon fiber/polyamide (SCF/N) applied within the lattice layer. (ii) Sandwich structures with different cell types and orientations of the lattice infills are designed and prepared by additive manufacturing. (iii) The basic mechanical properties of the sandwich structures, i.e., the bi-directional tension/compression compound performance, failure modes and mechanisms in characteristic directions, are analyzed systematically. (iv) The effects of geometric features on the three-point bending properties of L-shaped sandwich structures are investigated and compared with those of pure SCF/N structures. The results show that the bending resistance per unit weight was up to 54.3% larger than that of pure SCF/N, while the weight could be decreased by 49%, and the bending flexibility before fracture could be increased by 44%. These studies contribute fundamental research data to the application of sandwich structures prepared by fiber reinforced polymer matrix composites.
Collapse
Affiliation(s)
- Daming Nie
- Research Center for Intelligent Robotics, Zhejiang Lab, Hangzhou 311100, China; (D.N.); (L.K.); (Y.F.)
| | - Lingyu Kong
- Research Center for Intelligent Robotics, Zhejiang Lab, Hangzhou 311100, China; (D.N.); (L.K.); (Y.F.)
| | - Yu Zhang
- Research Center for Intelligent Robotics, Zhejiang Lab, Hangzhou 311100, China; (D.N.); (L.K.); (Y.F.)
| | - Xingyu Qiu
- School of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 311100, China;
| | - Yili Fu
- Research Center for Intelligent Robotics, Zhejiang Lab, Hangzhou 311100, China; (D.N.); (L.K.); (Y.F.)
| | - Jason Gu
- Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS B3M 1A2, Canada;
| |
Collapse
|
10
|
Xu Z, Liang J, Fu R, Yang L, Xin Chen Y, Ren W, Lu Y, Qiu X, Gu Q. Effect of PD-L1 Expression for the PD-1/L1 Inhibitors on Non-small Cell Lung Cancer: A Meta-analysis Based on Randomised Controlled Trials. Clin Oncol (R Coll Radiol) 2023; 35:640-651. [PMID: 37563075 DOI: 10.1016/j.clon.2023.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/23/2023] [Accepted: 07/28/2023] [Indexed: 08/12/2023]
Abstract
AIMS As PD-L1 expression has been proposed as one of the cancer biomarkers for non-small cell lung cancer (NSCLC), the predictive value of tumour proportional score (TPS) in the effect of immunotherapy [programmed death protein-1/ligand 1 (PD-1/L1) inhibitors] for NSCLC is worth exploring further. Here, we aimed to summarise the outcomes of current NSCLC randomised controlled trials (RCTs) and explore the predictive value of TPS in clinical immunotherapy, including immune checkpoint inhibitors (ICIs) with or without chemotherapy. MATERIALS AND METHODS RCTs published by PubMed, Medline, Embase and Scopus before February 2023 comparing immunotherapy (PD-1/L1 with or without other therapy) versus a control group in advanced or metastatic NSCLC were included to assess the prognosis according to the patients' TPS with 1% and 50% as the thresholds. The primary endpoints were overall survival and progression-free survival. RESULTS In total, 28 RCTs containing 17 266 participants with advanced or metastatic NSCLC were included in this meta-analysis. Statistical results showed that compared with TPS <1%, ≥1% or within 1-49%, patients with TPS ≥50% benefited more significantly from the immunotherapy. A subgroup analysis showed that when TPS was <1%, ≥1% or within 1-49%, ICIs + chemotherapy had better efficacy than ICIs alone; PD-1 (such as pembrolizumab) inhibitors had better efficacy than PD-L1 inhibitors (such as atezolizumab). CONCLUSION The efficacy of immunotherapy (PD-1/L1 inhibitors) for advanced or metastatic NSCLC is influenced by TPS.
Collapse
Affiliation(s)
- Z Xu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China
| | - J Liang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - R Fu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - L Yang
- Emergency Medical Center, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China
| | - Y Xin Chen
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - W Ren
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Y Lu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - X Qiu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Q Gu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China.
| |
Collapse
|
11
|
Xu Z, Zhang M, Wang W, Zhou S, Yu M, Qiu X, Jiang S, Wang X, Tang C, Li S, Wang CH, Zhu R, Peng WX, Zhao L, Fu X, Patzak A, Persson PB, Zhao L, Mao J, Shu Q, Lai EY, Zhang G. Dihydromyricetin attenuates cisplatin-induced acute kidney injury by reducing oxidative stress, inflammation and ferroptosis. Toxicol Appl Pharmacol 2023; 473:116595. [PMID: 37328118 DOI: 10.1016/j.taap.2023.116595] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 06/01/2023] [Accepted: 06/09/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Cisplatin is effective against various types of cancers. However, its clinical application is limited owing to its adverse effects, especially acute kidney injury (AKI). Dihydromyricetin (DHM), a flavonoid derived from Ampelopsis grossedentata, has varied pharmacological activities. This research aimed to determine the molecular mechanism for cisplatin-induced AKI. METHODS A murine model of cisplatin-induced AKI (22 mg/kg, I.P.) and a HK-2 cell model of cisplatin-induced damage (30 μM) were established to evaluate the protective function of DHM. Renal dysfunction markers, renal morphology and potential signaling pathways were investigated. RESULTS DHM decreased the levels of renal function biomarkers (blood urea nitrogen and serum creatinine), mitigated renal morphological damage, and downregulated the protein levels of kidney injury molecule-1 and neutrophil gelatinase-associated lipocalin. It upregulated the expression levels of antioxidant enzymes (superoxide dismutase and catalase expression), nuclear factor-erythroid-2-related factor 2 (Nrf2) and its downstream proteins, including heme oxygenase-1 (HO-1), glutamate-cysteine ligase catalytic (GCLC) and modulatory (GCLM) subunits, thus eventually reducing cisplatin-induced reactive oxygen species (ROS) production. Moreover, DHM partially inhibited the phosphorylation of the active fragments of caspase-8 and -3 and mitogen-activated protein kinase and restored glutathione peroxidase 4 expression, which attenuated renal apoptosis and ferroptosis in cisplatin-treated animals. DHM also mitigated the activation of NLRP3 inflammasome and nuclear factor (NF)-κB, attenuating the inflammatory response. In addition, it reduced cisplatin-induced HK-2 cell apoptosis and ROS production, both of which were blocked by the Nrf2 inhibitor ML385. CONCLUSIONS DHM suppressed cisplatin-induced oxidative stress, inflammation and ferroptosis probably through regulating of Nrf2/HO-1, MAPK and NF-κB signaling pathways.
Collapse
Affiliation(s)
- Zheming Xu
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China
| | - Minjing Zhang
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China
| | - Wenwen Wang
- Department of Pathology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310051, China
| | - Suhan Zhou
- Department of Physiology, School of Basic Medical Sciences, and Kidney Disease Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Minghua Yu
- Department of Pathology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China
| | - Xingyu Qiu
- Department of Physiology, School of Basic Medical Sciences, and Kidney Disease Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Shan Jiang
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Xiaohua Wang
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Chun Tang
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Shuijie Li
- Department of Biopharmaceutical Sciences, College of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Chih-Hong Wang
- Tulane Hypertension and Renal Center of Excellence, Department of Physiology, Tulane University School of Medicine, New Orleans, LA, USA
| | - Runzhi Zhu
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China
| | - Wan Xin Peng
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China
| | - Lin Zhao
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China
| | - Xiaodong Fu
- Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510260, China
| | - Andreas Patzak
- Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute of Translational Physiology, Berlin, Germany
| | - Pontus B Persson
- Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute of Translational Physiology, Berlin, Germany
| | - Liang Zhao
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China; Children's Hospital, Zhejiang University School of Medicine, Pediatric Nephrology & Urology Medical Research Center, Hangzhou 310052, China
| | - Jianhua Mao
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China; Children's Hospital, Zhejiang University School of Medicine, Pediatric Nephrology & Urology Medical Research Center, Hangzhou 310052, China
| | - Qiang Shu
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China.
| | - En Yin Lai
- Department of Physiology, School of Basic Medical Sciences, and Kidney Disease Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute of Translational Physiology, Berlin, Germany.
| | - Gensheng Zhang
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou 310052, China; Children's Hospital, Zhejiang University School of Medicine, Pediatric Nephrology & Urology Medical Research Center, Hangzhou 310052, China.
| |
Collapse
|
12
|
Tang H, Li H, Prakaash D, Pedebos C, Qiu X, Sauer DB, Khalid S, Duerr K, Robinson CV. The solute carrier SPNS2 recruits PI(4,5)P 2 to synergistically regulate transport of sphingosine-1-phosphate. Mol Cell 2023; 83:2739-2752.e5. [PMID: 37499662 PMCID: PMC10790328 DOI: 10.1016/j.molcel.2023.06.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 05/11/2023] [Accepted: 06/26/2023] [Indexed: 07/29/2023]
Abstract
Solute carrier spinster homolog 2 (SPNS2), one of only four known major facilitator superfamily (MFS) lysolipid transporters in humans, exports sphingosine-1-phosphate (S1P) across cell membranes. Here, we explore the synergistic effects of lipid binding and conformational dynamics on SPNS2's transport mechanism. Using mass spectrometry, we discovered that SPNS2 interacts preferentially with PI(4,5)P2. Together with functional studies and molecular dynamics (MD) simulations, we identified potential PI(4,5)P2 binding sites. Mutagenesis of proposed lipid binding sites and inhibition of PI(4,5)P2 synthesis reduce S1P transport, whereas the absence of the N terminus renders the transporter essentially inactive. Probing the conformational dynamics of SPNS2, we show how synergistic binding of PI(4,5)P2 and S1P facilitates transport, increases dynamics of the extracellular gate, and stabilizes the intracellular gate. Given that SPNS2 transports a key signaling lipid, our results have implications for therapeutic targeting and also illustrate a regulatory mechanism for MFS transporters.
Collapse
Affiliation(s)
- Haiping Tang
- Department of Chemistry, University of Oxford, Oxford OX1 3TA, UK; Kavli Institute for Nanoscience Discovery, Oxford OX1 3QU, UK
| | - Huanyu Li
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Dheeraj Prakaash
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Conrado Pedebos
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Xingyu Qiu
- Department of Chemistry, University of Oxford, Oxford OX1 3TA, UK; Kavli Institute for Nanoscience Discovery, Oxford OX1 3QU, UK
| | - David B Sauer
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Syma Khalid
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Katharina Duerr
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7DQ, UK; OMass Therapeutics, Ltd., Oxford OX4 2GX, UK
| | - Carol V Robinson
- Department of Chemistry, University of Oxford, Oxford OX1 3TA, UK; Kavli Institute for Nanoscience Discovery, Oxford OX1 3QU, UK.
| |
Collapse
|
13
|
Liu Z, Qiu X, Yang H, Wu X, Ye W. [Inhibitor of growth protein-2 silencing alleviates angiotensin Ⅱ-induced cardiac remodeling in mice by reducing p53 acetylation]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1127-1135. [PMID: 37488795 PMCID: PMC10366506 DOI: 10.12122/j.issn.1673-4254.2023.07.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the effect of inhibitor of growth protein-2 (Ing2) silencing on angiotensin Ⅱ (AngⅡ)-induced cardiac remodeling in mice and explore the underlying mechanism. METHODS An adenoviral vector carrying Ing2 shRNA or empty adenoviral vector was injected into the tail vein of mice, followed 48 h later by infusion of 1000 ng · kg-1 · min-1 Ang Ⅱ or saline using a mini-osmotic pump for 42 consecutive days. Transthoracic echocardiography was used to assess cardiac geometry and function and the level of cardiac hypertrophy in the mice. Masson and WGA staining were used to detect myocardial fibrosis and cross-sectional area of cardiomyocytes, and myocardial cell apoptosis was detected with TUNEL assay. Western blotting was performed to detect myocardial expressions of cleaved caspase 3, ING2, collagen Ⅰ, Ac-p53(Lys382) and p-p53 (Ser15); Ing2 mRNA expression was detected using real-time PCR. Mitochondrial biogenesis, as measured by mitochondrial ROS content, ATP content, citrate synthase activity and calcium storage, was determined using commercial assay kits. RESULTS The expression levels of Ing2 mRNA and protein were significantly higher in the mice with chronic Ang Ⅱ infusion than in saline-infused mice. Chronic infusion of AngⅡ significantly increased the left ventricular end-systolic diameter (LVESD) and left ventricular end-diastolic diameter (LVEDD) and reduced left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) in the mice. Ing2 silencing obviously alleviated AngⅡ-induced cardiac function decline, as shown by decreased LVEDD and LVESD and increased LVEF and LVFS, improved myocardial mitochondrial damage and myocardial hypertrophy and fibrosis, and inhibited cardiomyocyte apoptosis. Chronic AngⅡ infusion significantly increased myocardial expression levels of Ac-p53(Lys382) and p-p53(Ser15) in the mice, and Ing2 silencing prior to AngⅡ infusion lessened AngⅡ- induced increase of Ac-p53(Lys382) without affecting p53 (ser15) expression. CONCLUSION Ing2 silencing can inhibit AngⅡ-induced cardiac remodeling and dysfunction in mice by reducing p53 acetylation.
Collapse
Affiliation(s)
- Z Liu
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Qiu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - H Yang
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Wu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - W Ye
- Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| |
Collapse
|
14
|
Erchick DJ, Hazel EA, Katz J, Lee ACC, Diaz M, Wu LSF, Yoshida S, Bahl R, Grandi C, Labrique AB, Rashid M, Ahmed S, Roy AD, Haque R, Shaikh S, Baqui AH, Saha SK, Khanam R, Rahman S, Shapiro R, Zash R, Silveira MF, Buffarini R, Kolsteren P, Lachat C, Huybregts L, Roberfroid D, Zeng L, Zhu Z, He J, Qiu X, Gebreyesus SH, Tesfamariam K, Bekele D, Chan G, Baye E, Workneh F, Asante KP, Kaali EB, Adu-Afarwuah S, Dewey KG, Gyaase S, Wylie BJ, Kirkwood BR, Manu A, Thulasiraj RD, Tielsch J, Chowdhury R, Taneja S, Babu GR, Shriyan P, Ashorn P, Maleta K, Ashorn U, Mangani C, Acevedo-Gallegos S, Rodriguez-Sibaja MJ, Khatry SK, LeClerq SC, Mullany LC, Jehan F, Ilyas M, Rogerson SJ, Unger HW, Ghosh R, Musange S, Ramokolo V, Zembe-Mkabile W, Lazzerini M, Rishard M, Wang D, Fawzi WW, Minja DTR, Schmiegelow C, Masanja H, Smith E, Lusingu JPA, Msemo OA, Kabole FM, Slim SN, Keentupthai P, Mongkolchati A, Kajubi R, Kakuru A, Waiswa P, Walker D, Hamer DH, Semrau KEA, Chaponda EB, Chico RM, Banda B, Musokotwane K, Manasyan A, Pry JM, Chasekwa B, Humphrey J, Black RE. Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541 285 live births in 23 countries, 2000-2021. BJOG 2023. [PMID: 37156239 DOI: 10.1111/1471-0528.17510] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE To examine prevalence of novel newborn types among 541 285 live births in 23 countries from 2000 to 2021. DESIGN Descriptive multi-country secondary data analysis. SETTING Subnational, population-based birth cohort studies (n = 45) in 23 low- and middle-income countries (LMICs) spanning 2000-2021. POPULATION Liveborn infants. METHODS Subnational, population-based studies with high-quality birth outcome data from LMICs were invited to join the Vulnerable Newborn Measurement Collaboration. We defined distinct newborn types using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight, LBW [<2500 g], nonLBW) as ten types (using all three outcomes), six types (by excluding the birthweight categorisation), and four types (by collapsing the AGA and LGA categories). We defined small types as those with at least one classification of LBW, PT or SGA. We presented study characteristics, participant characteristics, data missingness, and prevalence of newborn types by region and study. RESULTS Among 541 285 live births, 476 939 (88.1%) had non-missing and plausible values for gestational age, birthweight and sex required to construct the newborn types. The median prevalences of ten types across studies were T+AGA+nonLBW (58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW (14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%), PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The median prevalence of small types (six types, 37.6%) varied across studies and within regions and was higher in Southern Asia (52.4%) than in Sub-Saharan Africa (34.9%). CONCLUSIONS Further investigation is needed to describe the mortality risks associated with newborn types and understand the implications of this framework for local targeting of interventions to prevent adverse pregnancy outcomes in LMICs.
Collapse
Affiliation(s)
- D J Erchick
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - E A Hazel
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - J Katz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - A C C Lee
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - M Diaz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - L S F Wu
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S Yoshida
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - R Bahl
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - C Grandi
- Argentine Society of Paediatrics, Ciudad Autónoma de Buenos Aires, Argentina
| | - A B Labrique
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - M Rashid
- IntraHealth International, Dhaka, Bangladesh
| | - S Ahmed
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - A D Roy
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - R Haque
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - S Shaikh
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - A H Baqui
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S K Saha
- Child Health Research Foundation, Dhaka, Bangladesh
| | - R Khanam
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S Rahman
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - R Shapiro
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - R Zash
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - M F Silveira
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - R Buffarini
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - P Kolsteren
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - C Lachat
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - L Huybregts
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
- Poverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC, USA
| | - D Roberfroid
- Medicine Department, Faculty of Medicine, University of Namur, Namur, Belgium
| | - L Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Z Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - J He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - S H Gebreyesus
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - K Tesfamariam
- Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - D Bekele
- Department of Obstetrics and Gynecology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - G Chan
- Department of Obstetrics and Gynecology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - E Baye
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - F Workneh
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
| | - K P Asante
- Kintampo Health Research Centre, Research and Development Division, Kintampo, Ghana
| | - E B Kaali
- Kintampo Health Research Centre, Research and Development Division, Kintampo, Ghana
| | - S Adu-Afarwuah
- Department of Nutrition and Food Science, University of Ghana, Accra, Ghana
| | - K G Dewey
- Institute for Global Nutrition, Department of Nutrition, University of California, Davis, California, USA
| | - S Gyaase
- Department of Statistics, Kintampo Health Research Centre, Kintampo, Ghana
| | - B J Wylie
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York, USA
| | - B R Kirkwood
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - A Manu
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- University of Ghana School of Public Health, Accra, Ghana
| | | | - J Tielsch
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - R Chowdhury
- Centre for Health Research and Development, Society for Applied Studies, Delhi, India
| | - S Taneja
- Centre for Health Research and Development, Society for Applied Studies, Delhi, India
| | - G R Babu
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - P Shriyan
- Indian Institute of Public Health, Public Health Foundation of India, Bengaluru, India
| | - P Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - K Maleta
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - U Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - C Mangani
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - S Acevedo-Gallegos
- National Institute of Perinatology, Maternal-Fetal Medicine Department, Mexico City, Mexico
| | - M J Rodriguez-Sibaja
- National Institute of Perinatology, Maternal-Fetal Medicine Department, Mexico City, Mexico
| | - S K Khatry
- Nepal Nutrition Intervention Project - Sarlahi (NNIPS), Kathmandu, Nepal
| | - S C LeClerq
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Nepal Nutrition Intervention Project - Sarlahi (NNIPS), Kathmandu, Nepal
| | - L C Mullany
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - F Jehan
- Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - M Ilyas
- The Aga Khan University, Karachi, Pakistan
| | - S J Rogerson
- Department of Infectious Diseases, University of Melbourne, Doherty Institute, Melbourne, Victoria, Australia
| | - H W Unger
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - R Ghosh
- Institute for Global Health Sciences, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - S Musange
- School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - V Ramokolo
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Gertrude H Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - W Zembe-Mkabile
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- College Graduate of Studies, University of South Africa, Johannesburg, South Africa
| | - M Lazzerini
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', WHO Collaborating Centre for Maternal and Child Health, Trieste, Italy
| | - M Rishard
- University Obstetrics Unit, De Soysa Hospital for Women, Colombo, Sri Lanka
- Department of Obstetrics & Gynaecology, University of Colombo, Colombo, Sri Lanka
| | - D Wang
- Department of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, USA
| | - W W Fawzi
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - D T R Minja
- National Institute for Medical Research, Tanga Centre, Tanga, Tanzania
| | - C Schmiegelow
- Centre for Medical Parasitology, Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - H Masanja
- Ifakara Health Institute, Dar es Salaam, Tanzania
| | - E Smith
- Department of Global Health, Milken Institute School of Public Health, Washington, DC, USA
| | - J P A Lusingu
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - O A Msemo
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - F M Kabole
- Ministry of Health Zanzibar, Zanzibar, Tanzania
| | - S N Slim
- Ministry of Health Zanzibar, Zanzibar, Tanzania
| | - P Keentupthai
- College of Medicine and Public Health, Ubon Ratchathani University, Ubon Ratchathani, Thailand
| | - A Mongkolchati
- ASEAN Institute for Health Development, Mahidol University, Salaya, Thailand
| | - R Kajubi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - A Kakuru
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - P Waiswa
- Department of Health Policy Planning and Management, Makerere University School of Public Health, New Mulago Hospital Complex, Kampala, Uganda
- Division of Global Health, Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - D Walker
- Institute for Global Health Sciences and Department of Obstetrics and Gynecology, University of California San Francisco, San Francisco, California, USA
| | - D H Hamer
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - K E A Semrau
- Ariadne Labs, Brigham and Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Global Health Equity & Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - E B Chaponda
- Department of Biological Sciences, School of Natural Sciences, University of Zambia, Lusaka, Zambia
| | - R M Chico
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - B Banda
- Research Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
| | - K Musokotwane
- Health Specialist PMTCT and Pediatric AIDS, UNICEF, Lusaka, Zambia
| | - A Manasyan
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - J M Pry
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - B Chasekwa
- Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe
| | - J Humphrey
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - R E Black
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| |
Collapse
|
15
|
Qiu X, Sun X, Li HO, Wang DH, Zhang SM. Maternal alcohol consumption and risk of postpartum depression: a meta-analysis of cohort studies. Public Health 2022; 213:163-170. [PMID: 36423494 DOI: 10.1016/j.puhe.2022.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 06/30/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVES The relationship between maternal alcohol consumption and postpartum depression (PPD) is still controversial. The objective of the present study was to assess the association between maternal alcohol consumption and the risk of developing PPD by means of a meta-analysis of cohort studies. STUDY DESIGN This was a meta-analysis. METHODS PubMed, Web of Science, Embase, Cochrane Library, China Biology Medicine disc, Chinese National Knowledge Infrastructure, Weipu, and Wanfang databases were searched up to February 4, 2021, to identify relevant studies that evaluated the association between maternal alcohol consumption and PPD. Meta-analysis was conducted using RevMan software and Stata software. Subgroup and sensitivity analyses were performed to explore the potential heterogeneity source, and Begg's funnel plots and Begg's linear regression test were conducted to assess the potential publication bias. RESULTS A total of 12 studies involving 50,377 participants were identified in our study. Overall, pregnant women who were exposed to alcohol were at a significantly greater risk of developing PPD compared with those who did not consume alcohol (odds ratio = 1.21; 95% confidence interval: 1.04-1.41; P = 0.020). CONCLUSIONS Maternal alcohol consumption is significantly associated with the risk of developing PPD. These results emphasize the necessity of enhancing health awareness, improving the public health policies and regulations concerning alcohol use, and strengthening the prevention and intervention of maternal alcohol consumption to promote maternal mental health.
Collapse
Affiliation(s)
- X Qiu
- Department of Nursing, Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - X Sun
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - H O Li
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - D H Wang
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - S M Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
| |
Collapse
|
16
|
Li R, Wang Z, Xu H, Jiang C, Wang N, Li X, Qiu X, Wang X. Genetic Diversity among Takifugu rubripes and Takifugu obscurus in Different Regions of China Based on Mitochondrial DNA Sequencing Data. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422120079] [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: 12/29/2022]
|
17
|
Zhuang J, Zhang S, Qiu X, Guo H. 175TiP A prospective phase II study to investigate the efficacy and safety of olaparib plus abiraterone and prednisone combination therapy in mHSPC patients with HRR gene mutation. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.502] [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: 12/05/2022] Open
|
18
|
Spohn S, Draulans C, Kishan A, Spratt D, Ross A, Maurer T, Tilki D, Berlin A, Blanchard P, Collins S, Bronsert P, Chen R, Dal Pra A, De Meerler G, Eade T, Haustermans K, Hölscher T, Höcht S, Ghadjar P, Davicioni E, Heck M, Kerkmeijer L, Kirste S, Tselis N, Tran P, Pinkawa M, Pommier P, Deltas C, Schmidt-Hegemann NS, Wiegel T, Zilli T, Tree A, Qiu X, Murthy V, Epstein J, Graztke C, Grosu A, Kamran S, Zamboglou C, Pinkawa. Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02485-5] [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: 11/11/2022] Open
|
19
|
Pan BY, Xu Y, Ni JM, Zhou SY, Hong XC, Qiu X, Li SY. Unambiguous Experimental Verification of Linear-in-Temperature Spinon Thermal Conductivity in an Antiferromagnetic Heisenberg Chain. Phys Rev Lett 2022; 129:167201. [PMID: 36306770 DOI: 10.1103/physrevlett.129.167201] [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] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 08/07/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
The everlasting interest in spin chains is mostly rooted in the fact that they generally allow for comparisons between theory and experiment with remarkable accuracy, especially for exactly solvable models. A notable example is the spin-1/2 antiferromagnetic Heisenberg chain (AFHC), which can be well described by the Tomonaga-Luttinger liquid theory and exhibits fractionalized spinon excitations with distinct thermodynamic and spectroscopic experimental signatures consistent with theoretical predictions. A missing piece, however, is the lack of a comprehensive understanding of the spinon heat transport in AFHC systems, due to difficulties in its experimental evaluation against the backdrop of other heat carriers and complex scattering processes. Here we address this situation by performing ultralow-temperature thermal conductivity measurements on a nearly ideal spin-1/2 AFHC system copper benzoate Cu(C_{6}H_{5}COO)_{2}·3H_{2}O, whose field-dependent spin excitation gap enables a reliable extraction of the spinon thermal conductivity κ_{s} at zero field. κ_{s} was found to exhibit a linear temperature dependence κ_{s}∼T at low temperatures, with κ_{s}/T as large as 1.70 mW cm^{-1} K^{-2}, followed by a precipitate decline below ∼0.3 K. The observed κ_{s}∼T clarifies the discrepancies between various spin chain systems and serves as a benchmark for one-dimensional spinon heat transport in the low-temperature limit. The abrupt loss of κ_{s} with no corresponding anomaly in the specific heat is discussed in the context of many-body localization.
Collapse
Affiliation(s)
- B Y Pan
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
- School of Physics and Optoelectronic Engineering, Ludong University, Yantai, Shandong 264025, China
| | - Y Xu
- Key Laboratory of Polar Materials and Devices (MOE), School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China
| | - J M Ni
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - S Y Zhou
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - X C Hong
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - X Qiu
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - S Y Li
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
- Shanghai Research Center for Quantum Sciences, Shanghai, 201315, China
| |
Collapse
|
20
|
Wang X, Jiang S, Fei L, Dong F, Xie L, Qiu X, Lei Y, Guo J, Zhong M, Ren X, Yang Y, Zhao L, Zhang G, Wang H, Tang C, Yu L, Liu R, Patzak A, Persson PB, Hultström M, Wei Q, Lai EY, Zheng Z. Tacrolimus Causes Hypertension by Increasing Vascular Contractility via RhoA (Ras Homolog Family Member A)/ROCK (Rho-Associated Protein Kinase) Pathway in Mice. Hypertension 2022; 79:2228-2238. [PMID: 35938417 PMCID: PMC9993086 DOI: 10.1161/hypertensionaha.122.19189] [Citation(s) in RCA: 6] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND To provide tacrolimus is first-line treatment after liver and kidney transplantation. However, hypertension and nephrotoxicity are common tacrolimus side effects that limit its use. Although tacrolimus-related hypertension is well known, the underlying mechanisms are not. Here, we test whether tacrolimus-induced hypertension involves the RhoA (Ras homolog family member A)/ROCK (Rho-associated protein kinase) pathway in male C57Bl/6 mice. METHODS Intra-arterial blood pressure was measured under anesthesia. The reactivity of renal afferent arterioles and mesenteric arteries were assessed in vitro using microperfusion and wire myography, respectively. RESULTS Tacrolimus induced a transient rise in systolic arterial pressure that was blocked by the RhoA/ROCK inhibitor Fasudil (12.0±0.9 versus 3.2±0.7; P<0.001). Moreover, tacrolimus reduced the glomerular filtration rate, which was also prevented by Fasudil (187±20 versus 281±8.5; P<0.001). Interestingly, tacrolimus enhanced the sensitivity of afferent arterioles and mesenteric arteries to Ang II (angiotensin II), likely due to increased intracellular Ca2+ mobilization and sensitization. Fasudil prevented increased Ang II-sensitivity and blocked Ca2+ mobilization and sensitization. Preincubation of mouse aortic vascular smooth muscle cells with tacrolimus activated the RhoA/ROCK/MYPT-1 (myosin phosphatase targeting subunit 1) pathway. Further, tacrolimus increased cytoplasmic reactive oxygen species generation in afferent arterioles (107±5.9 versus 163±6.4; P<0.001) and in cultured mouse aortic vascular smooth muscle cells (100±7.5 versus 160±23.2; P<0.01). Finally, the reactive oxygen species scavenger Tempol inhibited tacrolimus-induced Ang II hypersensitivity in afferent arterioles and mesenteric arteries. CONCLUSIONS The RhoA/ROCK pathway may play an important role in tacrolimus-induced hypertension by enhancing Ang II-specific vasoconstriction, and reactive oxygen species may participate in this process by activating the RhoA/ROCK pathway.
Collapse
Affiliation(s)
- Xiaohua Wang
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| | - Shan Jiang
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| | - Lingyan Fei
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| | - Fang Dong
- Department of Physiology, School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China (F.D., X.Q., J.G., H.W., E.Y.L.)
| | - Lanyu Xie
- College of Clinical Medicine, Nanchang University, China (L.X.)
| | - Xingyu Qiu
- Department of Physiology, School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China (F.D., X.Q., J.G., H.W., E.Y.L.)
| | - Yan Lei
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| | - Jie Guo
- Department of Physiology, School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China (F.D., X.Q., J.G., H.W., E.Y.L.)
| | - Ming Zhong
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| | - Xiaoqiu Ren
- Department of Radiation Oncology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (X.R., Q.W.)
| | - Yi Yang
- Department of Nephrology, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China (Y.Y.)
| | - Liang Zhao
- The Children's Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China (L.Z., G.Z.)
| | - Gensheng Zhang
- The Children's Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China (L.Z., G.Z.)
| | - Honghong Wang
- Department of Physiology, School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China (F.D., X.Q., J.G., H.W., E.Y.L.)
| | - Chun Tang
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| | - Luyang Yu
- Institute of Genetics and Regenerative Biology, College of Life Sciences, Zhejiang University, Hangzhou, China (L.Y.)
| | - Ruisheng Liu
- Department of Molecular Pharmacology and Physiology, University of South Florida College of Medicine, Tampa (R.L.)
| | - Andreas Patzak
- Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany (A.P., P.B.P., E.Y.L.)
| | - Pontus B Persson
- Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany (A.P., P.B.P., E.Y.L.)
| | - Michael Hultström
- Integrative Physiology, Department of Medical Cell Biology, Uppsala University, Sweden (M.H.).,Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Sweden (M.H.)
| | - Qichun Wei
- Department of Radiation Oncology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (X.R., Q.W.)
| | - En Yin Lai
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.).,Department of Physiology, School of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, China (F.D., X.Q., J.G., H.W., E.Y.L.).,Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany (A.P., P.B.P., E.Y.L.)
| | - Zhihua Zheng
- Department of Nephrology, Center of Kidney and Urology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China (X.W., S.J., L.F., Y.L., M.Z., C.T., E.Y.L., Z.Z.)
| |
Collapse
|
21
|
Zeng R, Wu H, Qiu X, Zhuo Z, Sha W, Chen H. Predicting survival and immune microenvironment in colorectal cancer: a STAT signaling-related signature. QJM 2022; 115:596-604. [PMID: 34978566 DOI: 10.1093/qjmed/hcab334] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 12/17/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Despite research advances, studies on predictive models of colorectal cancer (CRC) remain scarce and none have evaluated signal transducer and activator of transcription (STAT) signaling. AIM To develop an effective prognostic signature for and evaluate its association with immune microenvironment. DESIGN Comprehensive analysis based on The Cancer Genome Atlas and Gene Expression Omnibus databases with experimental validation. METHODS Gene expression and clinical profiles of CRC patients were extracted from the databases. Differentially expressed genes with prognostic values were used to construct a signature. Immune cell infiltration and composition were further evaluated by TIMER, single-sample gene set enrichment and CIBERSORT analyses. The impact of the hub gene Caveolin-1 (CAV1) on cell proliferation, apoptosis, senescence and tumor angiogenesis was experimentally validated. RESULTS The five-gene-based STAT signaling-related prognostic signature was significantly associated with CRC survival, and the nomogram was with improved prognostic efficacy than the conventional TNM stage. The STAT signaling-related signature was correlated with tumor immune microenvironment. CAV1 was further identified as the hub gene within the signature. CAV1 inhibits the proliferation and induces the apoptosis as well as senescence of CRC cells. In addition, the tumor angiogenesis of CRC can be suppressed by CAV1 overexpression. CONCLUSIONS The STAT signaling-related signature effectively predicts the prognosis and regulates tumor immune microenvironment in CRC. Our study underscores the role of STAT regulator, CAV1, as an important tumor suppressor in CRC carcinogenesis. Modulating STAT and its regulators could be a promising strategy for CRC in clinical practice.
Collapse
Affiliation(s)
- R Zeng
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- Shantou University Medical College, Shantou 515041, Jinping District, Guangdong, China
| | - H Wu
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - X Qiu
- Zhuguang Community Healthcare Center, Guangzhou 510080, Yuexiu District, Guangdong, China
| | - Z Zhuo
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - W Sha
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Baiyun District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - H Chen
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Baiyun District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| |
Collapse
|
22
|
He J, Wang B, Tao J, Liu Q, Peng M, Qiu X, Yang Y, Ye Z, Liu D, W. li, Chen Z, Zeng Q, Fan J, Liang W. 905MO Synergistic combination of clinical, imaging and DNA methylation biomarkers improves the classification of pulmonary nodules. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1031] [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: 11/25/2022] Open
|
23
|
Shi XY, Zhang XL, Shi QY, Qiu X, Wu XB, Zheng BL, Jiang HX, Qin SY. IFN-γ affects pancreatic cancer properties by MACC1-AS1/MACC1 axis via AKT/mTOR signaling pathway. Clin Transl Oncol 2022; 24:1073-1085. [PMID: 35037236 DOI: 10.1007/s12094-021-02748-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/01/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Metastasis-related in colon cancer 1 (MACC1) is highly expressed in a variety of solid tumours, but its role in pancreatic cancer (PC) remains unknown. Interferon gamma (IFN-γ) affecting MACC1 expression was explored as the potential mechanism following its intervention. METHODS Expressions of MACC1 treated with IFN-γ gradient were confirmed by quantitative real-time PCR (qRT-PCR) and western blot (WB). Proliferation, migration, and invasion abilities of PC cells treated with IFN-γ were analysed by CCK8, EDU, colony formation, Transwell (with or without matrix gel) and wound-healing assays. Expression of antisense long non-coding RNA of MACC1, MACC1-AS1, and proteins of AKT/mTOR pathway, (pho-)AKT, and (pho-)mTOR was also assessed by qRT-PCR and WB. SiRNA kit and lentiviral fluid were conducted for transient expression of MACC1 and stable expression of MACC1-AS1, respectively. Rescue assays of cells overexpressing MACC1-AS1 and of cells silencing MACC1 were performed and cellular properties and proteins were assessed by the above-mentioned assays as well. RESULTS IFN-γ inhibited MACC1 expression in a time- and dose-dependent manner; 100 ng/mL IFN-γ generally caused downregulation of most significant (p ≤ 0.05). In vitro experiments revealed that IFN-γ decreased cellular proliferation, migration, and invasion abilities and downregulated the expression of pho-AKT and pho-mTOR (p ≤ 0.05). Conversely, overexpression of MACC1-AS1 upregulated pho-AKT and pho-mTOR proteins, and reversed cellular properties (p ≤ 0.05). Rescue assays alleviated the above changes of pho-AKT/ mTOR and cellular properties. CONCLUSION IFN-γ affected PC properties by MACC1-AS1/MACC1 axis via AKT/mTOR signaling pathway, which provides novel insight for candidate targets for treating PC.
Collapse
Affiliation(s)
- X-Y Shi
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X-L Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - Q-Y Shi
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X Qiu
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X-B Wu
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - B-L Zheng
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - H-X Jiang
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - S-Y Qin
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China.
| |
Collapse
|
24
|
Patil DN, Singh S, Laboute T, Strutzenberg T, Qiu X, Wu D, Novick S, Robinson C, Griffin P, Hunt J, Izard T, Singh A, Martemyanov K. Visualizing an orphan receptor GPR158 and it complex with neuronal regulator RGS7‐Gβ5 via cryoEM. FASEB J 2022. [DOI: 10.1096/fasebj.2022.36.s1.r6204] [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: 11/11/2022]
Affiliation(s)
| | - Shikha Singh
- Department of Biological SciencesColumbia University New YorkNew yorkNY
| | | | | | | | - Di Wu
- University of OxfordOxford
| | | | | | | | - John Hunt
- Columbia University New YorkNew YorkNY
| | | | - Appu Singh
- Indian Institute of Technology KanpurKanpur
| | | |
Collapse
|
25
|
Chen N, Qiu X, Wang D, Cui BQ, Chang XD. [Establishment and stress analysis of a finite element model of a marathon runner's hip joint based on material properties given by CT gray value]. Zhonghua Yi Xue Za Zhi 2022; 102:679-682. [PMID: 35249314 DOI: 10.3760/cma.j.cn112137-20210817-01854] [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
In this study, a finite element model of the hip joint of a marathon runner was established based on the method of assigning material properties by CT gray value, and the biomechanics of the hip joint were analyzed when standing on one foot. The results of the study demonstrated that the stress was concentrated in the arcuate line, the greater sciatic notch, the pubic comb, and the acetabular region in the pelvis model; in the femoral model, the stress was concentrated in the femoral head, medial side of femoral neck and femoral shaft. The stress is transmitted from the sacroiliac joint to the acetabular dome through the arcuate line, on one side of the femoral head, from the medial side of the femoral neck to the lower side of the lesser trochanter to the medial side of the femoral shaft, and on the other side from the upper side of the femoral neck to the lateral side of the femoral shaft. The maximum principal stress was distributed in the posterior superior of the acetabular roof (7.22 MPa) and the posterior superior of the femoral head (6.68 MPa). The displacement of the model was about 1 to 3 mm at the upper edge of the ilium, and gradually decreased along the femoral axis, and the displacement at the hip joint was about 0.1 to 0.3 mm.
Collapse
Affiliation(s)
- N Chen
- Department of Radiology, Zhongshan Hospital, Dalian University, Dalian 116000, China
| | - X Qiu
- Department of Orthopedics, Zhongshan Hospital, Dalian University, Dalian 116000, China
| | - D Wang
- Department of Radiology, Qiqihar First Hospital, Qiqihar 161000, China
| | - B Q Cui
- Zhongshan Clinical College of Dalian University, Dalian 116000, China
| | - X D Chang
- Department of Radiology, Zhongshan Hospital, Dalian University, Dalian 116000, China
| |
Collapse
|
26
|
Zhou S, Guo J, Liao X, Zhou Q, Qiu X, Jiang S, Xu N, Wang X, Zhao L, Hu W, Xie L, Xie P, Cui Y, Yang Y, Patzak A, Persson PB, Mao J, Lai EY. rhADAMTS13 reduces oxidative stress by cleaving VWF in ischaemia/reperfusion-induced acute kidney injury. Acta Physiol (Oxf) 2022; 234:e13778. [PMID: 34989474 DOI: 10.1111/apha.13778] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 11/17/2021] [Accepted: 01/03/2022] [Indexed: 12/17/2022]
Abstract
AIMS Acute kidney injury (AKI), a major health burden, lacks effective therapy. Anti-inflammatory actions of a disintegrin and metalloproteinase with a thrombospondin type 1 motif member 13 (ADAMTS13) may provide a new treatment option for AKI. Along with inflammation, oxidative stress is critical for AKI development, yet the impact of ADAMTS13 on oxidative stress in AKI remains to be fully elucidated. METHODS We assess recombinant human ADAMTS13 (rhADAMTS13) actions on oxidative stress in a murine ischaemia/reperfusion (IR) model. Antioxidant stress-enzyme activities, renal morphology, kidney function markers and vascular function of isolated afferent arterioles are quantified. RESULTS rhADAMTS13 provided after IR, reduces blood urea nitrogen (BUN) by 33% and serum creatinine (Scr) by 73% in 24 hours post-IR. rhADAMTS13 reduces BUN (40.03 ± 20.34 mmol/L vs 72.35 ± 18.74 mmol/L, P < .01), Scr (75.67 ± 51.19 μmol/L vs 176.17 ± 55.38 μmol/L, P < .01) and proteinuria by 41% in 48 hours post-IR as well. Moreover, rhADAMTS13 administration decreases malondialdehyde (MDA) and increases the activity of antioxidant stress enzymes, and attenuates reactive oxygen species production. rhADAMTS13 also upregulates nuclear factor-erythroid-2-related factor 2/haem oxygenase-1, enhances antioxidant enzymes activity and alleviates endothelial dysfunction. Finally, treatment with rhADAMTS13 mitigates severe functional and morphological injury present in IR mice. Extracellular signal-regulated kinase (ERK) phosphorylation is limited by rhADAMTS13 and PPARγ expression is partly restored in ischaemic kidneys. Co-administration of von Willebrand factor (VWF) impairs rhADAMTS13's antioxidant capacity and its protective role in IR. CONCLUSION rhADAMTS13 alleviates renal IR injury through antioxidant effects by cleaving VWF.
Collapse
Affiliation(s)
- Suhan Zhou
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Jie Guo
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Xinxin Liao
- Department of Anesthesiology Nanfang Hospital Southern Medical University Guangzhou China
| | - Qin Zhou
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Xingyu Qiu
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Shan Jiang
- Department of Nephrology Center of Kidney and Urology the Seventh Affiliated Hospital Sun Yat‐sen University Shenzhen China
| | - Nan Xu
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
- Department of Pathophysiology School of Basic Medical Sciences Henan University Kaifeng China
| | - Xiaohua Wang
- Department of Nephrology Center of Kidney and Urology the Seventh Affiliated Hospital Sun Yat‐sen University Shenzhen China
| | - Liang Zhao
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Weipeng Hu
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Lanyu Xie
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Peng Xie
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Yu Cui
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Yi Yang
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
| | - Andreas Patzak
- Charité–Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin Humboldt‐Universität zu Berlin, and Berlin Institute of Health Institute of Vegetative Physiology Berlin Germany
| | - Pontus B. Persson
- Charité–Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin Humboldt‐Universität zu Berlin, and Berlin Institute of Health Institute of Vegetative Physiology Berlin Germany
| | - Jianhua Mao
- Department of Nephrology the Children's Hospital of Zhejiang University School of Medicine Hangzhou China
| | - En Yin Lai
- Kidney Disease Center of the First Affiliated Hospital and Department of Physiology School of Basic Medical Sciences Zhejiang University School of Medicine Hangzhou China
- Department of Nephrology Center of Kidney and Urology the Seventh Affiliated Hospital Sun Yat‐sen University Shenzhen China
- Charité–Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin Humboldt‐Universität zu Berlin, and Berlin Institute of Health Institute of Vegetative Physiology Berlin Germany
| |
Collapse
|
27
|
Bai B, Liu W, Qiu X, Zhang J, Zhang J, Bai Y. The root microbiome: Community assembly and its contributions to plant fitness. J Integr Plant Biol 2022; 64:230-243. [PMID: 35029016 DOI: 10.1111/jipb.13226] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 01/10/2022] [Indexed: 05/27/2023]
Abstract
The root microbiome refers to the community of microbes living in association with a plant's roots, and includes mutualists, pathogens, and commensals. Here we focus on recent advances in the study of root commensal community which is the major research object of microbiome-related researches. With the rapid development of new technologies, plant-commensal interactions can be explored with unprecedented breadth and depth. Both the soil environment and the host plant drive commensal community assembly. The bulk soil is the seed bank of potential commensals, and plants use root exudates and immune responses to build healthy microbial communities from the available microbes. The plant microbiome extends the functional system of plants by participating in a variety of processes, including nutrient absorption, growth promotion, and resistance to biotic and abiotic stresses. Plants and their microbiomes have evolved adaptation strategies over time. However, there is still a huge gap in our understanding of the regulatory mechanisms of plant-commensal interactions. In this review, we summarize recent research on the assembly of root microbial communities and the effects of these communities on plant growth and development, and look at the prospects for promoting sustainable agricultural development through the study of the root microbiome.
Collapse
Affiliation(s)
- Bo Bai
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- Institute of Crop Germplasm Resources, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Ji'nan, 250100, China
| | - Weidong Liu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xingyu Qiu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- Center for life science, Yunnan University, Yunnan, 650091, China
| | - Jie Zhang
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jingying Zhang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yang Bai
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| |
Collapse
|
28
|
Wang Z, Qiu X, Jin Y, Zhang X. How Work-Family Conflict and Work-Family Facilitation Affect Employee Innovation: A Moderated Mediation Model of Emotions and Work Flexibility. Front Psychol 2022; 12:796201. [PMID: 35087457 PMCID: PMC8787063 DOI: 10.3389/fpsyg.2021.796201] [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: 10/16/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
This paper aims to verify the effects of work-family conflict and work-family facilitation on employee innovation in the digital era. Based on resource conservation theory, this study regards the work-family relationship as a conditional resource. Employees who are in a state of lack of resources caused by work-family conflict will maintain existing resources by avoiding the consumption of further resources to perform innovation activities; employees who are in a state of sufficient resources are more willing to invest existing resources to obtain more resources. In this study, 405 employees from enterprises in the Chinese provinces of Jiangsu, Anhui, Sichuan, and Guangdong, and in the municipality of Tianjin were selected as the research object. These enterprises are knowledge-based companies, and their employees frequently transfer knowledge at work. We collected questionnaires from the frontline employees of these companies. The results show that negative and positive emotions mediate the effect of work-family conflict and work-family facilitation on employee innovation. Moreover, work flexibility has a significant moderating effect on the mediating role of emotions between work-family facilitation and employee innovation behavior. In the digital era, when facing different work-family situations, employees need to pay attention to and dredge their negative emotions to avoid reducing their innovative behaviors due to self-abandonment; in parallel, they need to guide their positive emotions toward innovation, so as to promote their innovative consciousness and behavior. This paper expands the research perspective of employee innovation behavior.
Collapse
Affiliation(s)
- Zhicheng Wang
- School of Business, Nanjing University, Nanjing, China.,School of Business, Jiangxi University of Finance and Economics, Nanchang, China
| | - Xingyu Qiu
- School of Business, Jinan University, Guangzhou, China
| | - Yixing Jin
- School of Tourism, Huangshan University, Huangshan, China
| | - Xinyan Zhang
- School of Business, Chungnam National University, Daejeon, South Korea
| |
Collapse
|
29
|
Patil DN, Singh S, Laboute T, Strutzenberg TS, Qiu X, Wu D, Novick SJ, Robinson CV, Griffin PR, Hunt JF, Izard T, Singh AK, Martemyanov KA. Cryo-EM structure of human GPR158 receptor coupled to the RGS7-Gβ5 signaling complex. Science 2022; 375:86-91. [PMID: 34793198 PMCID: PMC8926151 DOI: 10.1126/science.abl4732] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
GPR158 is an orphan G protein–coupled receptor (GPCR) highly expressed in the brain, where it controls synapse formation and function. GPR158 has also been implicated in depression, carcinogenesis, and cognition. However, the structural organization and signaling mechanisms of GPR158 are largely unknown. We used single-particle cryo–electron microscopy (cryo-EM) to determine the structures of human GPR158 alone and bound to an RGS signaling complex. The structures reveal a homodimeric organization stabilized by a pair of phospholipids and the presence of an extracellular Cache domain, an unusual ligand-binding domain in GPCRs. We further demonstrate the structural basis of GPR158 coupling to RGS7-Gβ5. Together, these results provide insights into the unusual biology of orphan receptors and the formation of GPCR-RGS complexes.
Collapse
Affiliation(s)
- Dipak N. Patil
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL 33458, USA
| | - Shikha Singh
- Department of Biological Sciences, Columbia University New York, NY 10027
| | - Thibaut Laboute
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL 33458, USA
| | | | - Xingyu Qiu
- Department of Chemistry, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, U.K.,The Kavli Institute for Nanoscience Discovery, Oxford, OX1 3QU, UK
| | - Di Wu
- Department of Chemistry, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, U.K.,The Kavli Institute for Nanoscience Discovery, Oxford, OX1 3QU, UK
| | - Scott J. Novick
- Department of Molecular Medicine, The Scripps Research Institute, Jupiter, FL 33458, USA
| | - Carol V. Robinson
- Department of Chemistry, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, U.K.,The Kavli Institute for Nanoscience Discovery, Oxford, OX1 3QU, UK
| | - Patrick R. Griffin
- Department of Molecular Medicine, The Scripps Research Institute, Jupiter, FL 33458, USA
| | - John F. Hunt
- Department of Biological Sciences, Columbia University New York, NY 10027
| | - Tina Izard
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, Jupiter, FL 33458, USA
| | - Appu K. Singh
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur 208016, India,Mehta Family Centre for Engineering in Medicine, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India,Co-corresponding authors: Dr. Kirill A. Martemyanov, ; Dr. Appu K. Singh,
| | - Kirill A. Martemyanov
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL 33458, USA,Co-corresponding authors: Dr. Kirill A. Martemyanov, ; Dr. Appu K. Singh,
| |
Collapse
|
30
|
Qiu X, Chen H, Feng D, Dong W. [G-protein coupled receptor Smo positively regulates proliferation and migration of adult neural stem cells in vitro]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1588-1592. [PMID: 34755677 DOI: 10.12122/j.issn.1673-4254.2021.10.20] [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 investigate the role of G-protein coupled receptor Smoothened (Smo) in regulating proliferation and migration of adult neural stem cells (ANSCs) and explore the underlying mechanism. METHODS Cultured ANSCs were treated with purmorphamine (PM, an agonist of Smo) or cyclopamine (CPM, an inhibitor of Smo), and the changes in cell proliferation migration abilities were assessed using cell counting kit-8 (CCK8) assay and wound healing assay, respectively. The mRNA expressions of membrane receptor Patched 1 (Ptch1), Smo, glioma-associated oncogene homolog 1 (Gli1), axon guidance cue slit1 (Slit1) and brain-derived neurotrophic factor (BDNF) in the treated cells were detected using real-time quantitative PCR (RT-PCR). RESULTS PM significantly promoted the proliferation (P < 0.01) and migration of ANSCs (P < 0.01), and up-regulated the mRNA expressions of Ptch1, Smo, Gli1, Slit1 and BDNF. Treatment with CPM significantly inhibited the proliferation and migration of ANSCs. CONCLUSION Modulating Smo activity can positively regulate the proliferation and migration of ANSCs possibly by regulating the expressions of BDNF and Slit1.
Collapse
Affiliation(s)
- X Qiu
- Experiment Teaching and Administration Center, Southern Medical University, Guangzhou 510515, China
| | - H Chen
- Department of Neurosurgery, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - D Feng
- Institute of Oncology, Southern Medical University, Guangzhou 510515, China
| | - W Dong
- Experiment Teaching and Administration Center, Southern Medical University, Guangzhou 510515, China
| |
Collapse
|
31
|
Xue T, Qiu X, Liu H, Gan C, Tan Z, Xie Y, Wang Y, Ye T. Epigenetic regulation in fibrosis progress. Pharmacol Res 2021; 173:105910. [PMID: 34562602 DOI: 10.1016/j.phrs.2021.105910] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 08/23/2021] [Accepted: 09/15/2021] [Indexed: 02/08/2023]
Abstract
Fibrosis, a common process of chronic inflammatory diseases, is defined as a repair response disorder when organs undergo continuous damage, ultimately leading to scar formation and functional failure. Around the world, fibrotic diseases cause high mortality, unfortunately, with limited treatment means in clinical practice. With the development and application of deep sequencing technology, comprehensively exploring the epigenetic mechanism in fibrosis has been allowed. Extensive remodeling of epigenetics controlling various cells phenotype and molecular mechanisms involved in fibrogenesis was subsequently verified. In this review, we summarize the regulatory mechanisms of DNA methylation, histone modification, noncoding RNAs (ncRNAs) and N6-methyladenosine (m6A) modification in organ fibrosis, focusing on heart, liver, lung and kidney. Additionally, we emphasize the diversity of epigenetics in the cellular and molecular mechanisms related to fibrosis. Finally, the potential and prospect of targeted therapy for fibrosis based on epigenetic is discussed.
Collapse
Affiliation(s)
- Taixiong Xue
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xingyu Qiu
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Hongyao Liu
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Cailing Gan
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Zui Tan
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yuting Xie
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yuxi Wang
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan, China; Precision Medicine Key Laboratory of Sichuan Province & Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan, China.
| | - Tinghong Ye
- Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Department of Gastroenterology and Hepatology, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| |
Collapse
|
32
|
Lu S, Huang D, Chen X, Wang B, Xue J, Wang J, Bao Y, Liang L, Qiu X, Zhang L. 1290P RATIONALE 304: Tislelizumab (TIS) plus chemotherapy (chemo) vs chemo alone as first-line (1L) treatment for non-squamous (non-sq) non-small cell lung cancer (NSCLC) in patients (pts) who are smokers vs non-smokers. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1892] [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] Open
|
33
|
Chi G, Ebenhoch R, Man H, Tang H, Tremblay LE, Reggiano G, Qiu X, Bohstedt T, Liko I, Almeida FG, Garneau AP, Wang D, McKinley G, Moreau CP, Bountra KD, Abrusci P, Mukhopadhyay SMM, Fernandez‐Cid A, Slimani S, Lavoie JL, Burgess‐Brown NA, Tehan B, DiMaio F, Jazayeri A, Isenring P, Robinson CV, Dürr KL. Phospho-regulation, nucleotide binding and ion access control in potassium-chloride cotransporters. EMBO J 2021; 40:e107294. [PMID: 34031912 PMCID: PMC8280820 DOI: 10.15252/embj.2020107294] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 11/12/2020] [Revised: 03/29/2021] [Accepted: 04/11/2021] [Indexed: 11/26/2022] Open
Abstract
Potassium-coupled chloride transporters (KCCs) play crucial roles in regulating cell volume and intracellular chloride concentration. They are characteristically inhibited under isotonic conditions via phospho-regulatory sites located within the cytoplasmic termini. Decreased inhibitory phosphorylation in response to hypotonic cell swelling stimulates transport activity, and dysfunction of this regulatory process has been associated with various human diseases. Here, we present cryo-EM structures of human KCC3b and KCC1, revealing structural determinants for phospho-regulation in both N- and C-termini. We show that phospho-mimetic KCC3b is arrested in an inward-facing state in which intracellular ion access is blocked by extensive contacts with the N-terminus. In another mutant with increased isotonic transport activity, KCC1Δ19, this interdomain interaction is absent, likely due to a unique phospho-regulatory site in the KCC1 N-terminus. Furthermore, we map additional phosphorylation sites as well as a previously unknown ATP/ADP-binding pocket in the large C-terminal domain and show enhanced thermal stabilization of other CCCs by adenine nucleotides. These findings provide fundamentally new insights into the complex regulation of KCCs and may unlock innovative strategies for drug development.
Collapse
Affiliation(s)
- Gamma Chi
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Rebecca Ebenhoch
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
- Present address:
MedChem, Boehringer Ingelheim Pharma GmbH & Co. KGBiberachGermany
| | - Henry Man
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
- Present address:
Exscientia LtdOxfordUK
| | - Haiping Tang
- Physical and Theoretical Chemistry LaboratoryUniversity of OxfordOxfordUK
| | - Laurence E Tremblay
- Department of MedicineNephrology Research GroupFaculty of MedicineLaval UniversityQuebec CityQCCanada
| | | | - Xingyu Qiu
- Physical and Theoretical Chemistry LaboratoryUniversity of OxfordOxfordUK
| | - Tina Bohstedt
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | | | | | - Alexandre P Garneau
- Department of MedicineNephrology Research GroupFaculty of MedicineLaval UniversityQuebec CityQCCanada
- Cardiometabolic Axis, School of Kinesiology and Physical Activity SciencesUniversity of MontréalMontréalQCCanada
| | - Dong Wang
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Gavin McKinley
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Christophe P Moreau
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Present address:
Celonic AGBaselGermany
| | | | - Patrizia Abrusci
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
- Present address:
Exscientia LtdOxfordUK
| | - Shubhashish M M Mukhopadhyay
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Alejandra Fernandez‐Cid
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Samira Slimani
- Department of MedicineNephrology Research GroupFaculty of MedicineLaval UniversityQuebec CityQCCanada
| | - Julie L Lavoie
- Cardiometabolic Axis, School of Kinesiology and Physical Activity SciencesUniversity of MontréalMontréalQCCanada
| | - Nicola A Burgess‐Brown
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
| | | | - Frank DiMaio
- Department of BiochemistryUniversity of WashingtonSeattleWAUSA
| | | | - Paul Isenring
- Department of MedicineNephrology Research GroupFaculty of MedicineLaval UniversityQuebec CityQCCanada
| | - Carol V Robinson
- Physical and Theoretical Chemistry LaboratoryUniversity of OxfordOxfordUK
| | - Katharina L Dürr
- Nuffield Department of MedicineCentre of Medicines DiscoveryUniversity of OxfordOxfordUK
- Structural Genomics ConsortiumNuffield Department of MedicineUniversity of OxfordOxfordUK
- OMass Therapeutics, Ltd.OxfordUK
| |
Collapse
|
34
|
Yin H, Chen M, Qiu X, Qiu X, Guo H. Can 68Ga-PSMA-11 PET/CT predict pathological upgrading of prostate cancer from MRI-targeted biopsy to radical prostatectomy? Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01286-0] [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]
|
35
|
Zhang T, Li W, Qiu X, Liu B, Li G, Feng C, Liao J, Lin K. [CRISPR/Cas9-mediated TEAD1 knockout induces phenotypic modulation of corpus cavernosum smooth muscle cells in diabetic rats with erectile dysfunction]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:567-573. [PMID: 33963717 DOI: 10.12122/j.issn.1673-4254.2021.04.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To construct a corpus cavemosum smooth muscle cell (CCSMCs) line with TEAD1 knockout from diabetic rats with erectile dysfunction (ED) using CRISPR/Cas9 technology and explore the role of TEAD1 in phenotypic modulation of CCSMCs in diabetic rats with ED. OBJECTIVE Models of diabetic ED were established in male Sprague-Dawley rats by intraperitoneal injection of streptozotocin. CCSMCs from the rat models were primarily cultured and identified with immunofluorescence assay. Three sgRNAs (sgRNA-1, sgRNA-2 and sgRNA-3) were transfected via lentiviral vectors into 293T cells to prepare the sgRNA-Cas9 lentivirus. CCSMCs from diabetic rats with ED were infected by the lentivirus, and the cellular expression of TEAD1 protein was detected using Western blotting. In CCSMCs infected with the sgRNA-Cas9 lentivirus (CCSMCs-sgRNA-2), or the empty lentiviral vector (CCSMCs-sgRNA-NC) and the blank control cells (CCSMCs-CK), the expressions of cellular phenotypic markers SMMHC, calponin and PCNA at the mRNA and protein levels were detected using real-time fluorescence quantitative RT-PCR (qRT-PCR) and Western blotting, respectively. OBJECTIVE The primarily cultured CCSMCs from diabetic rats with ED showed a high α-SMA-positive rate of over 95%. The recombinant lentivirus of TEAD1-sgRNA was successfully packaged, and stable TEAD1-deficient CCSMC lines derived from diabetic rat with ED were obtained. Western blotting confirmed that the protein expression of TEAD1 in TEAD1-sgRNA-2 group was the lowest (P < 0.05), and this cell line was used in subsequent experiment. The results of qRT-PCR and Western blotting showed significantly up-regulated expressions of SMMHC and calponin (all P < 0.05) and down-regulated expression of PCNA (all P < 0.05) at both the mRNA and protein levels in TEAD1-deficient CCSMCs from diabetic rats with ED. OBJECTIVE We successfully constructed a stable CCSMCs line with CRISPR/Cas9-mediated TEAD1 knockout from diabetic rats with ED. TEAD1 gene knockout can induce phenotype transformation of the CCSMCs from diabetic rats with ED from the synthetic to the contractile type.
Collapse
Affiliation(s)
- T Zhang
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - W Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Qiu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - B Liu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - G Li
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - C Feng
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - J Liao
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - K Lin
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| |
Collapse
|
36
|
He JR, Ramakrishnan R, Wei XL, Lu JH, Lu MS, Xiao WQ, Tu S, Liu X, Zhou FJ, Zhang LF, Xia HM, Qiu X. Fetal growth at different gestational periods and risk of impaired childhood growth, low childhood weight and obesity: a prospective birth cohort study. BJOG 2021; 128:1615-1624. [PMID: 33690938 DOI: 10.1111/1471-0528.16698] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To examine the longitudinal associations of fetal growth with adverse child growth outcomes and to assess whether maternal metabolic factors modify the associations. DESIGN Prospective cohort study. SETTING Born in Guangzhou Cohort Study, China. POPULATION A total of 4818 mother-child pairs. METHODS Fetal growth was assessed according to estimated fetal weight (EFW) from 22 weeks of gestation until birth and the measurement of the birthweight. Fetal growth Z-scores were computed from random effects in the multilevel linear spline models to represent fetal size in early pregnancy (22 weeks of gestation) and growth in mid-pregnancy (22-27 weeks of gestation), early third trimester (28-36 weeks of gestation) and late third trimester (≥37 weeks of gestation). MAIN OUTCOME MEASURES Z-scores for childhood stunting, low weight, overweight or obesity, length/height for age (LAZ/HAZ), weight for age (WAZ) and body mass index for age (BMIZ) at the age of 3 years. Adjusted associations were examined using multiple Poisson or linear regression models. RESULTS Increased Z-scores of fetal size in early pregnancy and growth in mid-pregnancy and early third trimester were associated with a higher risk of childhood overweight or obesity (risk ratios 1.25-1.45). Fetal growth in each period was negatively associated with stunting and low weight, with the strongest associations observed for fetal size in early pregnancy and growth in mid-pregnancy. The results for continuous outcomes (LAZ/HAZ, WAZ and BMIZ) were similar. The associations of fetal growth with overweight or obesity in childhood were stronger among mothers who were underweight and who were overweight or obese than among mothers of normal weight. CONCLUSIONS Accelerated fetal growth before 37 weeks of gestation is associated with children who are overweight or obese, whereas the critical period for stunting and low weight occurs before 28 weeks of gestation. TWEETABLE ABSTRACT Fetal growth during different periods is differentially associated with childhood stunting, underweight and overweight or obesity.
Collapse
Affiliation(s)
- J-R He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - R Ramakrishnan
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,University of New South Wales, Sydney, NSW, Australia
| | - X-L Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - J-H Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - M-S Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - W-Q Xiao
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - S Tu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - X Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - F-J Zhou
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - L-F Zhang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - H-M Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Neonatal Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Obstetrics and Gynecology, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
37
|
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.
Collapse
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.
| |
Collapse
|
38
|
Lu S, Yu Y, Barnes G, Qiu X, Bao Y, Li J, Tang B. MO01.43 Examining the Impact of Tislelizumab Added to Platinum Doublet Chemotherapy on Health-Related Quality of Life in Patients with Non-Squamous NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2020.10.147] [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: 10/22/2022]
|
39
|
Wang X, Zhou H, Du P, Lan R, Chen D, Dong A, Lin X, Qiu X, Xu S, Ji X, Li M, Hou X, Sun L, Li D, Han L, Li Z. Genomic epidemiology of Corynebacterium striatum from three regions of China: an emerging national nosocomial epidemic. J Hosp Infect 2020; 110:67-75. [PMID: 33166588 DOI: 10.1016/j.jhin.2020.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 05/06/2020] [Revised: 09/27/2020] [Accepted: 10/03/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Corynebacteritum straitum has been considered as an emerging multi-drug-resistant (MDR) pathogen. Isolation of MDR C. striatum as the only organism from respiratory samples from hospitalized patients is increasing in China. AIM To elucidate the genomic epidemiology and evolution of C. striatum in China. METHODS A total of 260 isolates from 2016 to 2018 were collected from three hospitals in three regions of China. Antibiotic sensitivity testing was performed on all isolates. Whole-genome sequencing was applied to all isolates to assess their genomic diversity and relationships and detect the presence of antimicrobial resistance genes (ARG) and ARG cassettes. FINDINGS Almost all isolates (96.2%, 250/260) showed multi-drug-resistance. Genome sequencing revealed four major lineages with lineage IV emerging as the epidemic lineage. Most of the diversity was developed in the last 6 years. Each hospital has its own predominant clones with potential spread between Hebei and Guangdong hospitals. Genomic analysis further revealed multiple antimicrobial resistance genes. CONCLUSIONS Our results suggested that four lineages of C. striatum have spread in parallel across China, causing persistent and extensive transmissions within hospitals. MDR C. striatum infection has become a national epidemic. Antibiotic-driven selection pressure may have played significant roles in forming persistent and predominant clones. Our data provide the basis for surveillance and prevention strategies to control the epidemic caused by MDR C. striatum.
Collapse
Affiliation(s)
- X Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - H Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - P Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - R Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - D Chen
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China
| | - A Dong
- University of Science and Technology Affiliated Hospital, Tangshan, 063000, China
| | - X Lin
- Guangzhou Panyu Central Hospital, Guangzhou, 510000, China
| | - X Qiu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - S Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - X Ji
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - M Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - X Hou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - L Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - D Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - L Han
- Department of Medicine, Tibet University, Lhasa, 850000, China
| | - Z Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China.
| |
Collapse
|
40
|
Hu J, Hu W, Gao J, Yang J, Huang Q, Qiu X, Kong L, Lu J. Particle-Beam Radiation Therapy In The Treatment Of Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.391] [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: 10/23/2022]
|
41
|
Yang J, Gao J, Qiu X, Hu J, Hu W, Huang Q, Kong L, Lu J. Excellent Local Control and Survivals after Particle Beam Radiation Therapy for Skull Base Malignancies. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.354] [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: 11/25/2022]
|
42
|
Lu J, Zhao YJ, Zhou Y, He Q, Tian Y, Hao H, Qiu X, Jiang L, Zhao G, Huang CM. Modified staging system for gastric neuroendocrine carcinoma based on American Joint Committee on Cancer and European Neuroendocrine Tumor Society systems. Br J Surg 2020; 107:248-257. [PMID: 31971627 DOI: 10.1002/bjs.11408] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 08/04/2019] [Accepted: 10/01/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND The prognostic values of the AJCC staging system for gastric cancer (GC-AJCC), the AJCC staging system for gastric neuroendocrine tumours (NET-AJCC) and the European Neuroendocrine Tumor Society (ENETS) system for gastric neuroendocrine carcinoma and mixed adenoneuroendocrine carcinoma (MA)NEC remain controversial. METHODS Data on patients with (MA)NEC from 21 centres in China were analysed. Different staging systems were evaluated by performing Kaplan-Meier survival analysis and calculating the concordance index (C-index) and Akaike information criterion (AIC). Based on three existing systems, a modified staging system (mTNM) was developed. RESULTS A total of 871 patients were included. In the GC-AJCC system, an overlap was noticed for pT2 and pT3 categories. Patients with stage IIIC disease had a similar prognosis to those with stage IV disease. The pT categories of the NET-AJCC system had a lower C-index and higher AIC than those of the other systems. In the ENETS system, there was a low proportion (0·2 per cent) of patients with stage IIIA and a high proportion (67·6 per cent) of stage IIIB disease. The mTNM system adopted the NET-AJCC pT and GC-AJCC pN and pM definitions, and was developed based on the ENETS stage definitions. The proportion of patients in each stage was better distributed and the mTNM system showed improved prognostic performance in predicting overall and disease-free survival. CONCLUSION The mTNM system offers more accurate prognostic value for gastric (MA)NEC than the AJCC or ENETS staging systems.
Collapse
Affiliation(s)
- J Lu
- Departments of Gastric Surgery.,General Surgery, Fujian Medical University Union Hospital.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer.,Fujian Key Laboratory of Tumour Microbiology, Fujian Medical University
| | - Y J Zhao
- Department of Gastrointestinal Surgery, West District of the First Affiliated Hospital of the University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei
| | - Y Zhou
- Department of Gastrointestinal Surgery, Affiliated Hospital of Qingdao University, Qingdao
| | - Q He
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou
| | - Y Tian
- Department of Pancreatic and Gastric Surgery, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H Hao
- Department of General Surgery, Huashan Hospital, Fudan University
| | - X Qiu
- Department of Gastrointestinal Surgery and Gastrointestinal Surgery Research Institute, Affiliated Hospital of Putian University, Putian
| | - L Jiang
- Department of Gastrointestinal Surgery, Yan Tai Yu Huang Ding Hospital, Yantai, China
| | - G Zhao
- Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiaotong University, Shanghai
| | - C-M Huang
- Departments of Gastric Surgery.,General Surgery, Fujian Medical University Union Hospital.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer.,Fujian Key Laboratory of Tumour Microbiology, Fujian Medical University
| | | |
Collapse
|
43
|
Adamson P, Anghel I, Aurisano A, Barr G, Blake A, Cao SV, Carroll TJ, Castromonte CM, Chen R, Childress S, Coelho JAB, De Rijck S, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Germani S, Gomes RA, Gouffon P, Graf N, Grzelak K, Habig A, Hahn SR, Hartnell J, Hatcher R, Holin A, Huang J, Koerner LW, Kordosky M, Kreymer A, Lang K, Lucas P, Mann WA, Marshak ML, Mayer N, Mehdiyev R, Meier JR, Miller WH, Mills G, Naples D, Nelson JK, Nichol RJ, O'Connor J, Pahlka RB, Pavlović Ž, Pawloski G, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Qiu X, Radovic A, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Sharma R, Sousa A, Tagg N, Thomas J, Thomson MA, Timmons A, Todd J, Tognini SC, Toner R, Torretta D, Vahle P, Weber A, Whitehead LH, Wojcicki SG. Precision Constraints for Three-Flavor Neutrino Oscillations from the Full MINOS+ and MINOS Dataset. Phys Rev Lett 2020; 125:131802. [PMID: 33034464 DOI: 10.1103/physrevlett.125.131802] [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: 06/30/2020] [Accepted: 08/19/2020] [Indexed: 06/11/2023]
Abstract
We report the final measurement of the neutrino oscillation parameters Δm_{32}^{2} and sin^{2}θ_{23} using all data from the MINOS and MINOS+ experiments. These data were collected using a total exposure of 23.76×10^{20} protons on target producing ν_{μ} and ν[over ¯]_{μ} beams and 60.75 kt yr exposure to atmospheric neutrinos. The measurement of the disappearance of ν_{μ} and the appearance of ν_{e} events between the Near and Far detectors yields |Δm_{32}^{2}|=2.40_{-0.09}^{+0.08}(2.45_{-0.08}^{+0.07})×10^{-3} eV^{2} and sin^{2}θ_{23}=0.43_{-0.04}^{+0.20}(0.42_{-0.03}^{+0.07}) at 68% C.L. for normal (inverted) hierarchy.
Collapse
Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - I Anghel
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - G Barr
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
| | - A Blake
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- Lancaster University, Lancaster, LA1 4YB, United Kingdom
| | - S V Cao
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - C M Castromonte
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, GO, Brazil
| | - R Chen
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J A B Coelho
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - S De Rijck
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J J Evans
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - W Flanagan
- Department of Physics, University of Dallas, Irving, Texas 75062, USA
| | - M Gabrielyan
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - S Germani
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, GO, Brazil
| | - P Gouffon
- Instituto de Física, Universidade de São Paulo, CP 66318, 05315-970, São Paulo, SP, Brazil
| | - N Graf
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - K Grzelak
- Department of Physics, University of Warsaw, PL-02-093 Warsaw, Poland
| | - A Habig
- Department of Physics, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Holin
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J Huang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - M Kordosky
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - A Kreymer
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - P Lucas
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - W A Mann
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - M L Marshak
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - N Mayer
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - R Mehdiyev
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J R Meier
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - W H Miller
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - G Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Naples
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - J K Nelson
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J O'Connor
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R B Pahlka
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Ž Pavlović
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Pawloski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - A Perch
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M M Pfützner
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Poonthottathil
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - X Qiu
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - A Radovic
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - P Sail
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - J Schneps
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - A Schreckenberger
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R Sharma
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - J Thomas
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M A Thomson
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Timmons
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Todd
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - S C Tognini
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, GO, Brazil
| | - R Toner
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Vahle
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - A Weber
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
- Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, United Kingdom
| | - L H Whitehead
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - S G Wojcicki
- Department of Physics, Stanford University, Stanford, California 94305, USA
| |
Collapse
|
44
|
Zeng H, Deng S, Zhou Z, Qiu X, Jia X, Li Z, Wang J, Duan H, Tu L, Wang J. Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases. Public Health 2020; 186:1-5. [PMID: 32731151 PMCID: PMC7351380 DOI: 10.1016/j.puhe.2020.07.011] [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] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/30/2020] [Accepted: 07/06/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Nucleic acid testing is the gold standard method for the diagnosis of coronavirus disease 2019 (COVID-19); however, large numbers of false-negative results have been reported. In this study, nucleic acid detection and antibody detection (IgG and IgM) were combined to improve the testing accuracy of patients with suspected COVID-19. STUDY DESIGN The positive rate of nucleic acid detection and antibody detection (IgG and IgM) were compared in suspected COVID-19 patients. METHODS A total of 71 patients with suspected COVID-19 were selected to participate in this study, which included a retrospective analysis of clinical features, imaging examination, laboratory biochemical examination and nucleic acid detection and specific antibody (IgM and IgG) detection. RESULTS The majority of participants with suspected COVID-19 presented with fever (67.61%) and cough (54.93%), and the imaging results showed multiple small patches and ground-glass opacity in both lungs, with less common infiltration and consolidation opacity (23.94%). Routine blood tests were mostly normal (69.01%), although only a few patients had lymphopenia (4.23%) or leucopenia (12.68%). There was no statistical difference in the double-positive rate between nucleic acid detection (46.48%) and specific antibody (IgG and IgM) detection (42.25%) (P = 0.612), both of which were also poorly consistent with each other (kappa = 0.231). The positive rate of combined nucleic acid detection and antibody detection (63.38%) was significantly increased, compared with that of nucleic acid detection (46.48%) and that of specific antibody (IgG and IgM) detection (42.25%), and the differences were statistically significant (P = 0.043 and P = 0.012, respectively). CONCLUSIONS Nucleic acid detection and specific antibody (IgG and IgM) detection had similar positive rates, and their combination could improve the positive rate of COVID-19 detection, which is of great significance for diagnosis and epidemic control.
Collapse
Affiliation(s)
- H Zeng
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - S Deng
- Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808, China
| | - Z Zhou
- Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - X Qiu
- Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052, China
| | - X Jia
- Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - Z Li
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - J Wang
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - H Duan
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - L Tu
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - J Wang
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.
| |
Collapse
|
45
|
Adamson P, An FP, Anghel I, Aurisano A, Balantekin AB, Band HR, Barr G, Bishai M, Blake A, Blyth S, Cao GF, Cao J, Cao SV, Carroll TJ, Castromonte CM, Chang JF, Chang Y, Chen HS, Chen R, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Childress S, Chu MC, Chukanov A, Coelho JAB, Cummings JP, Dash N, De Rijck S, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Gallo JP, Germani S, Gomes RA, Gonchar M, Gong GH, Gong H, Gouffon P, Graf N, Grzelak K, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Habig A, Hackenburg RW, Hahn SR, Hans S, Hartnell J, Hatcher R, He M, Heeger KM, Heng YK, Higuera A, Holin A, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang J, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Koerner LW, Kohn S, Kordosky M, Kramer M, Kreymer A, Lang K, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li S, Li SC, Li SJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu Y, Liu YH, Lu C, Lu HQ, Lu JS, Lucas P, Luk KB, Ma XB, Ma XY, Ma YQ, Mann WA, Marshak ML, Marshall C, Martinez Caicedo DA, Mayer N, McDonald KT, McKeown RD, Mehdiyev R, Meier JR, Meng Y, Miller WH, Mills G, Mora Lepin L, Naples D, Napolitano J, Naumov D, Naumova E, Nelson JK, Nichol RJ, O'Connor J, Ochoa-Ricoux JP, Olshevskiy A, Pahlka RB, Pan HR, Park J, Patton S, Pavlović Ž, Pawloski G, Peng JC, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Pun CSJ, Qi FZ, Qi M, Qian X, Qiu X, Radovic A, Raper N, Ren J, Reveco CM, Rosero R, Roskovec B, Ruan XC, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Shaheed N, Sharma R, Sousa A, Steiner H, Sun JL, Tagg N, Thomas J, Thomson MA, Timmons A, Tmej T, Todd J, Tognini SC, Toner R, Torretta D, Treskov K, Tse WH, Tull CE, Vahle P, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weber A, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Whitehead LH, Wojcicki SG, Wong HLH, Wong SCF, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhou L, Zhuang HL. Improved Constraints on Sterile Neutrino Mixing from Disappearance Searches in the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments. Phys Rev Lett 2020; 125:071801. [PMID: 32857527 DOI: 10.1103/physrevlett.125.071801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/13/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Searches for electron antineutrino, muon neutrino, and muon antineutrino disappearance driven by sterile neutrino mixing have been carried out by the Daya Bay and MINOS+ collaborations. This Letter presents the combined results of these searches, along with exclusion results from the Bugey-3 reactor experiment, framed in a minimally extended four-neutrino scenario. Significantly improved constraints on the θ_{μe} mixing angle are derived that constitute the most constraining limits to date over five orders of magnitude in the mass-squared splitting Δm_{41}^{2}, excluding the 90% C.L. sterile-neutrino parameter space allowed by the LSND and MiniBooNE observations at 90% CL_{s} for Δm_{41}^{2}<13 eV^{2}. Furthermore, the LSND and MiniBooNE 99% C.L. allowed regions are excluded at 99% CL_{s} for Δm_{41}^{2}<1.6 eV^{2}.
Collapse
Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - I Anghel
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A B Balantekin
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - H R Band
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - G Barr
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Blake
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- Lancaster University, Lancaster, LA1 4YB, United Kingdom
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - S V Cao
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - C M Castromonte
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - R Chen
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - A Chukanov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J A B Coelho
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | | | - N Dash
- Institute of High Energy Physics, Beijing
| | - S De Rijck
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J J Evans
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - W Flanagan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
- Department of Physics, University of Dallas, Irving, Texas 75062, USA
| | - M Gabrielyan
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - S Germani
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - P Gouffon
- Instituto de Física, Universidade de São Paulo, CP 66318, 05315-970, São Paulo, Sao Paulo, Brazil
| | - N Graf
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - K Grzelak
- Department of Physics, University of Warsaw, PL-02-093 Warsaw, Poland
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - A Habig
- Department of Physics, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - R W Hackenburg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - A Higuera
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - A Holin
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J Huang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - Y B Huang
- Institute of High Energy Physics, Beijing
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Kordosky
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - A Kreymer
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S J Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Y Liu
- Shandong University, Jinan
| | | | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - J S Lu
- Institute of High Energy Physics, Beijing
| | - P Lucas
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - W A Mann
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - M L Marshak
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - D A Martinez Caicedo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - N Mayer
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - R D McKeown
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
- Lauritsen Laboratory, California Institute of Technology, Pasadena, California 91125, USA
| | - R Mehdiyev
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J R Meier
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - W H Miller
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - G Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - L Mora Lepin
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - D Naples
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J K Nelson
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J O'Connor
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R B Pahlka
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - Ž Pavlović
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - G Pawloski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - A Perch
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M M Pfützner
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Poonthottathil
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Qiu
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - A Radovic
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - P Sail
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - J Schneps
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - A Schreckenberger
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - R Sharma
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - J Thomas
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M A Thomson
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Timmons
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J Todd
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - S C Tognini
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - R Toner
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - P Vahle
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - A Weber
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
- Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, United Kingdom
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | - K Whisnant
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - L H Whitehead
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - S G Wojcicki
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S C F Wong
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B L Young
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| |
Collapse
|
46
|
Mi X, Lai K, Yan L, Xie S, Qiu X, Xiao S, Wei S. miR-18a expression in basal cell carcinoma and regulatory mechanism on autophagy through mTOR pathway. Clin Exp Dermatol 2020; 45:1027-1034. [PMID: 32485050 DOI: 10.1111/ced.14322] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 04/11/2020] [Accepted: 05/27/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Basal cell carcinoma (BCC) is the most common form of skin carcinoma. AIM To investigate the function of key micro(mi)RNAs and to explore the potential molecular mechanisms involved in BCC. METHODS The microarray dataset GSE34535, which comprises seven BCC samples and seven control samples, was downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs (DE-miRNAs) were identified. We collected tissue samples from 20 patients with BCC and 20 healthy controls (HCs), to compare the miR-18a expression in their tissue samples. Expression of miR-18a in A431 and HaCaT cells was also assayed. Following this, we upregulated and downregulated miR-18a expression in A431 cells to examine the effects on cell proliferation, migration and apoptosis. To further investigate the relative mechanism, the proteins LC3, Beclin 1, Akt and mammalian target of rapamycin (mTOR) were examined by quantitative real-time PCR and Western blotting. For further verification, we examined the expression of LC3 in the 20 BCC and 20 HC tissue samples. RESULTS In total, 19 DE-miRNAs (13 upregulated and 6 downregulated) that were common to the BCC and HC groups were identified. Levels of miR-18a were about three-fold higher in BCC tissues and A431 cells compared with their respective control groups. In vitro, downregulation of miR-18a was shown to inhibit cell proliferation and activate autophagy via the Akt/mTOR signalling pathway, while upregulation of miR-18a promoted proliferation of these cells. LC3 was decreased in BCC compared with HC tissue samples. CONCLUSIONS Our data support an oncogenic role of miR-18a through a novel Akt/mTOR/Beclin 1/LC3 axis, and suggest that the antitumour effects of miR-18a inhibitor may make it suitable for BCC therapy.
Collapse
Affiliation(s)
- X Mi
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - K Lai
- Department of, Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - L Yan
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - S Xie
- Department of, Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - X Qiu
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - S Xiao
- Department of, Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - S Wei
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
47
|
Qiu X, Li Y, Guo H. Retzius-sparing robot-assisted radical prostatectomy improves early recovery of urinary continence: A prospective randomized controlled trial. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33773-3] [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] Open
|
48
|
Qin H, Yang Y, Zhao X, Qiu X, Guo H. SOX9 in prostate cancer is upregulated by cancer-associated fibroblasts to mediate the tumor-promoting effects through HGF/c-Met-ERK1/2-FRA1 signaling. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33824-6] [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] Open
|
49
|
Zhuang J, Qiu X, Zhang S, Guo H. Short-term outcomes of neoadjuvant chemohormonal therapy followed by radical prostatectomy for Chinese patients with regional lymph node metastatic prostate cancer. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33283-3] [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] Open
|
50
|
Abstract
In December 2019, an outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in Wuhan, China, and it subsequently spread in many countries around the world. Many efforts have been applied to control and prevent the spread of COVID-19, and many scientific studies have been conducted in a short period of time. Here we present an overview of the viral structure, pathogenesis, diagnosis, and clinical features of COVID-19 based on the current state of knowledge, and we compare its clinical characteristics with SARS and Middle East Respiratory Syndrome (MERS). Current researches on potentially effective treatment alternatives are discussed. We hope this review can help medical workers and researchers around the world contain the current COVID-19 pandemic.
Collapse
Affiliation(s)
- C-L Yang
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Province, PR China.
| | | | | | | | | | | |
Collapse
|