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Wang J, Luo X, Pan J, Dong X, Tian X, Tu Z, Ju W, Zhang M, Zhong M, De Chen C, Flory M, Wang Y, Ted Brown W, Zhong N. (Epi)genetic variants of the sarcomere-desmosome are associated with premature utero-contraction in spontaneous preterm labor. Environ Int 2021; 148:106382. [PMID: 33472089 DOI: 10.1016/j.envint.2021.106382] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 07/01/2020] [Revised: 12/22/2020] [Accepted: 01/05/2021] [Indexed: 06/12/2023]
Abstract
Spontaneous preterm birth is a syndrome with clinical and genetic heterogeneity. Few studies have focused on the genetic and epigenetic defects and pathogenic mechanisms associated with premature uterine contraction in spontaneous preterm birth. The objective of this study was to investigate the (epi)genetic variations associated with premature uterine contraction of spontaneous preterm birth. A systems biology approach with an integrated multiomic study was employed. Biobanked pregnancy tissues selected from a pregnancy cohort were subjected to genomic, transcriptomic, methylomic, and proteomic studies, with a focus on genetic loci/genes related to uterine muscle contraction, specifically, genes associated with sarcomeres and desmosomes. Thirteen single nucleotide variations and pathogenic variants were identified in the sarcomere gene, TTN, which encodes the protein Titin, from 146 women with spontaneous preterm labor. Differential expression profiles of five long non-coding RNAs were identified from loci that overlap with four sarcomeric genes. Longitudinally, the long non-coding RNA of gene TPM3 that encodes the protein tropomysin 3 was found to significantly regulate the mRNA of TPM3 in the placenta, compared to maternal blood. The majority of genome methylation profiles related to premature uterine contraction were also identified in the CpG promoters of sarcomeric genes/loci. Differential expression profiles of mRNAs associated with premature uterine contraction showed 22 genes associated with sarcomeres and three with desmosomes. The results demonstrated that premature uterine contraction was associated mainly with pathogenic variants of the TTN gene and with transcriptomic variations of sarcomeric premature uterine contraction genes. This association is likely regulated by epigenetic factors, including methylation and long non-coding RNAs.
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Affiliation(s)
- Jie Wang
- Hainan Provincial Hospital for Maternal and Children's Health, Haikou, Hainan, China; Preterm Birth International Collaborative, USA
| | - Xiucui Luo
- Center of Translational Research, Lianyungang Municipal Hospital for Maternal and Children's Health, Lianyungang, Jiangsu Province, China
| | - Jing Pan
- Center of Translational Research, Lianyungang Municipal Hospital for Maternal and Children's Health, Lianyungang, Jiangsu Province, China
| | - Xiaoyan Dong
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA; Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Xiujuan Tian
- Sanya Maternity and Child Care Hospital, Sanya, Hainan, China
| | - Zhihua Tu
- Hainan Provincial Hospital for Maternal and Children's Health, Haikou, Hainan, China
| | - Weina Ju
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Meijiao Zhang
- Center of Translational Research, Lianyungang Municipal Hospital for Maternal and Children's Health, Lianyungang, Jiangsu Province, China
| | - Mei Zhong
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Charles De Chen
- The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Michael Flory
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Yong Wang
- Department of Obstetrics and Gynecology, Washington University, St. Louis, MO, USA; Preterm Birth International Collaborative, USA
| | - W Ted Brown
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Nanbert Zhong
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA; Preterm Birth International Collaborative, USA.
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202
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Abstract
BACKGROUND To establish and internally validate a nomogram for early diagnosis of bronchitis obliterans in children with severe pneumonia. METHODS The diagnostic model was established using a dataset of 147 pediatric patients with severe pneumonia. The clinical characteristics of bronchitis obliterans were determined using the least absolute shrinkage and selection operator method. According to the results of the multivariate logistic regression analysis, an individual nomogram was established, the C-index, calibration plot, and decision curve analysis were used to evaluate the performance of the nomogram. RESULTS Adenovirus infection, length of symptoms, percentage of macrophages in bronchial alveolar lavage fluid, and mucosal abnormalities were all important clinical characteristics included in the nomogram. According to internal validation, the C-index of nomogram was 0.91 (C-index, 0.878 to 0.942), suggesting that the nomogram has excellent discrimination. The nomogram showed good calibration with the Hosmer-Lemeshow test demonstrating no statistical significance. The net reclassification index was 0.2022 (95% CI, 0.008 to 0.3968; P=0.042), and the integrated discrimination improvement was 0.0975 (95% CI, 0.026 to 0.169; P=0.008). Decision curve analysis showed that the nomogram is clinically useful. CONCLUSIONS This nomogram can help clinicians make early diagnoses of bronchitis obliterans in children for whom membranous tissue has not yet formed.
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Affiliation(s)
- Chao Sun
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Silei Yan
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Kun Jiang
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Wang
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
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203
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Zhou C, Chen G, Huang Y, Zhou J, Lin L, Feng J, Wang Z, Shu Y, Shi J, Hu Y, Wang Q, Cheng Y, Wu F, Chen J, Lin X, Wang Y, Huang J, Cui J, Cao L, Liu Y, Zhang Y, Pan Y, Zhao J, Wang L, Chang J, Chen Q, Ren X, Zhang W, Fan Y, He Z, Fang J, Gu K, Dong X, Jin F, Gao H, An G, Ding C, Jiang X, Xiong J, Zhou X, Hu S, Lu P, Liu A, Guo S, Huang J, Zhu C, Zhao J, Gao B, Chen Y, Hu C, Zhang J, Zhang H, Zhao H, Zhou Y, Tai Y. P79.02 Updated OS and Time to Second Progression with First-Line Camrelizumab Plus Chemo vs Chemo for Advanced Non-Squamous NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1181] [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: 10/21/2022]
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204
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Li H, Wang J, Zeng H, Bin Y, Tong F, Dong X. FP07.01 Dysbiosis of Gut Microbiota Suppress the Brain Metastasis of Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.101] [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: 11/16/2022]
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205
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Ju L, Zhao J, Wang W, He J, Dong X, Zhang L. P89.10 Genomic Alteration Features and Targeted Therapy Opportunities of Primary Thoracic Sarcoma Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1276] [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: 10/21/2022]
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206
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Dong X, Zhao J, Gu D, Chen R, Xia X. P85.06 Clinical and Genomic Features of Middle Intensity cMET Stain of Chinese Lung Cancer Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1228] [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: 10/21/2022]
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207
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Ju L, Zhao J, Wang W, He J, Dong X, Zhang L. P89.10 Genomic Alteration Features and Targeted Therapy Opportunities of Primary Thoracic Sarcoma Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1275] [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: 11/29/2022]
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208
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Wang J, Tong F, Pan H, Wei C, Li H, Dong X. P71.01 The Effects of Vascular Endothelial Cells on Regulating Post-Irradiation Microglia Phenotype in Irradiation-Induced Brain Injury. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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209
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Wang J, Li H, Tong F, Zeng H, Wei C, Wang Y, Dong X. P63.04 Dysbiosis of Sputum and Gut Microbiota Modulate Development and Distant Metastasis of Non-Small Cell Lung Carcinomas. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.990] [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: 11/16/2022]
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210
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Shi X, Dong X, Zhai J, Liu X, Lu D, Ni Z, Chen A, Cai K. P66.02 A Novel Risk Model of Lung Adenocarcinoma Based on Lung Cancer Susceptibility Genes. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1001] [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: 10/21/2022]
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211
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Shi X, Dong X, Zhai J, Liu X, Lu D, Ni Z, Chen A, Cai K. P54.01 Development and Validation of a Novel Nomogram Integrated with Lung Cancer Susceptibility Genes for Squamous Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.937] [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]
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212
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Wang Y, Wei C, Tong F, Dong X. P63.03 M1 Phenotype Polarization of Microglia via MIF/CD74 Axis for Radiosensitization in NSCLC Brain Metastasis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.989] [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: 10/21/2022]
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213
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Mariette C, Lorenc M, Cailleau H, Collet E, Guérin L, Volte A, Trzop E, Bertoni R, Dong X, Lépine B, Hernandez O, Janod E, Cario L, Ta Phuoc V, Ohkoshi S, Tokoro H, Patthey L, Babic A, Usov I, Ozerov D, Sala L, Ebner S, Böhler P, Keller A, Oggenfuss A, Zmofing T, Redford S, Vetter S, Follath R, Juranic P, Schreiber A, Beaud P, Esposito V, Deng Y, Ingold G, Chergui M, Mancini GF, Mankowsky R, Svetina C, Zerdane S, Mozzanica A, Bosak A, Wulff M, Levantino M, Lemke H, Cammarata M. Strain wave pathway to semiconductor-to-metal transition revealed by time-resolved X-ray powder diffraction. Nat Commun 2021; 12:1239. [PMID: 33623010 PMCID: PMC7902810 DOI: 10.1038/s41467-021-21316-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 01/13/2021] [Indexed: 11/09/2022] Open
Abstract
One of the main challenges in ultrafast material science is to trigger phase transitions with short pulses of light. Here we show how strain waves, launched by electronic and structural precursor phenomena, determine a coherent macroscopic transformation pathway for the semiconducting-to-metal transition in bistable Ti3O5 nanocrystals. Employing femtosecond powder X-ray diffraction, we measure the lattice deformation in the phase transition as a function of time. We monitor the early intra-cell distortion around the light absorbing metal dimer and the long range deformations governed by acoustic waves propagating from the laser-exposed Ti3O5 surface. We developed a simplified elastic model demonstrating that picosecond switching in nanocrystals happens concomitantly with the propagating acoustic wavefront, several decades faster than thermal processes governed by heat diffusion.
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Affiliation(s)
- C Mariette
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France.
| | - M Lorenc
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France.
| | - H Cailleau
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - E Collet
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - L Guérin
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - A Volte
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - E Trzop
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - R Bertoni
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - X Dong
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - B Lépine
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France
| | - O Hernandez
- Univ Rennes, CNRS, ISCR (Institut des Sciences Chimiques de Rennes)-UMR 6226, Rennes, France
| | - E Janod
- Institut des Matériaux Jean Rouxel (IMN), Université de Nantes, CNRS, Nantes, France
| | - L Cario
- Institut des Matériaux Jean Rouxel (IMN), Université de Nantes, CNRS, Nantes, France
| | - V Ta Phuoc
- GREMAN-UMR 7347 CNRS, Université de Tours, Tours, France
| | - S Ohkoshi
- Department of Chemistry, School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - H Tokoro
- Department of Chemistry, School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.,Department of Materials Science, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - L Patthey
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - A Babic
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - I Usov
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - D Ozerov
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - L Sala
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - S Ebner
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - P Böhler
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - A Keller
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - A Oggenfuss
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - T Zmofing
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - S Redford
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - S Vetter
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - R Follath
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - P Juranic
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - A Schreiber
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - P Beaud
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - V Esposito
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland.,Institute for Materials and Energy Science, Stanford University and SLAC National Accelerator Laboratory, Menlo Park, CA, USA
| | - Y Deng
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - G Ingold
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - M Chergui
- Laboratory of Ultrafast Spectroscopy, Lausanne Center for Ultrafast Science (LACUS), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - G F Mancini
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland.,Laboratory of Ultrafast Spectroscopy, Lausanne Center for Ultrafast Science (LACUS), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - R Mankowsky
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - C Svetina
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - S Zerdane
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - A Mozzanica
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - A Bosak
- European Synchrotron Radiation Facility, Grenoble, France
| | - M Wulff
- European Synchrotron Radiation Facility, Grenoble, France
| | - M Levantino
- European Synchrotron Radiation Facility, Grenoble, France
| | - H Lemke
- SwissFEL, Paul Scherrer Institut, Villigen PSI, Switzerland
| | - M Cammarata
- Univ Rennes, CNRS, IPR (Institut de Physique de Rennes)-UMR 6251, Rennes, France. .,European Synchrotron Radiation Facility, Grenoble, France.
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214
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Wang P, Pan J, Tian X, Dong X, Ju W, Wang Y, Zhong N. Transcriptomics-determined chemokine-cytokine pathway presents a common pathogenic mechanism in pregnancy loss and spontaneous preterm birth. Am J Reprod Immunol 2021; 86:e13398. [PMID: 33565696 DOI: 10.1111/aji.13398] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 01/26/2021] [Indexed: 12/17/2022] Open
Abstract
PROBLEM Various etiological factors, such as infection and inflammation, may induce the adverse outcomes of pregnancy of miscarriage, stillbirth, or preterm birth. The pathogenic mechanisms associated with these adverse pregnancies are yet unclear. We hypothesized that a common pathogenic mechanism may underlie variant adverse outcomes of pregnancy, which are induced by genetic-environmental factors. The specific objective of the current study is to uncover the common molecular mechanism(s) by identifying the specific transcripts that are present in variant subtypes of pregnancy loss and preterm birth. METHOD OF STUDY Transcriptomic profiling was performed with RNA expression microarray or RNA sequencing of placentas derived from pregnancy loss (which includes spontaneous miscarriage, recurrent miscarriage, and stillbirth) and spontaneous preterm birth, followed by bioinformatic analysis of multi-omic integration to identify pathogenic molecules and pathways involved in pathological pregnancies. RESULTS The enrichment of common differentially expressed genes between full-term birth and preterm birth and pregnancy loss of miscarriage and stillbirth revealed different pathophysiological pathway(s), including cytokine signaling dysregulated in spontaneous preterm birth, defense response, graft-versus-host disease, antigen processing and presentation, and T help cell differentiation in spontaneous miscarriage. Thirty-three genes shared between spontaneous preterm birth and spontaneous miscarriage were engaged in pathways of interferon gamma-mediated signaling and of antigen processing and presentation. For spontaneous miscarriage, immune response was enriched in the fetal tissue of chorionic villi and in the maternal facet of the placental sac. The transcript of nerve growth factor receptor was identified as the common molecule that is differentially expressed in all adverse pregnancies: spontaneous preterm birth, stillbirth, spontaneous miscarriage, and recurrent miscarriage. Superoxide dismutase 2 was up-regulated in all adverse outcomes of pregnancy except for recurrent miscarriage. Cytokine-cytokine receptor interaction was the common pathway in spontaneous preterm birth and spontaneous miscarriage. Defense response was enriched in the fetal tissue of miscarriage and in the maternal tissue in spontaneous miscarriage. CONCLUSIONS Our results indicated that the chemokine-cytokine pathway may play important roles in and function as a common pathogenic mechanism associated with, the different adverse outcomes of pregnancy, which demonstrated that differentially expressed transcripts could result from a common pathogenic mechanism associated with pregnancy loss and spontaneous preterm birth, although individual pregnancy outcomes may differ from each other phenotypically.
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Affiliation(s)
- Peirong Wang
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA.,Center for Medical Device Evaluation, National Medical Product Administration, 50 Qixiang Road, Haidian District, Beijing, 100081, China
| | - Jing Pan
- Sanya Maternity and Child Care Hospital, Hainan, China
| | - Xiujuan Tian
- Sanya Maternity and Child Care Hospital, Hainan, China
| | - Xiaoyan Dong
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA.,Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Weina Ju
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Yong Wang
- Department of Obstetrics and Gynecology, School of Medicine, Washington University, St. Louis, MO, USA
| | - Nanbert Zhong
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
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215
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Zeng Z, Ma W, Zhao R, Dong X. Airway exposure to perfluorooctanoate exacerbates airway hyperresponsiveness and downregulates glucocorticoid receptor expression in asthmatic mice. Transl Pediatr 2021; 10:323-332. [PMID: 33708518 PMCID: PMC7944165 DOI: 10.21037/tp-20-246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Multiple environmental risk factors play a vital role in the pathogenesis of asthma, which contribute to the phenotypic expression of asthma. Perfluorooctanoate (PFOA) is the most common and abundant perfluorocarbon (PFC) in humans, and it has been detected in water and the atmosphere worldwide. Glucocorticoid receptor (GR) is considered to exert a protective effect on asthma and is associated with the sensitivity to glucocorticoids. Dermal or oral exposure to PFOA has been shown to contribute various effects on airway inflammation in individuals with ovalbumin (OVA)-induced asthma. Notably, airway exposure has a critical contribution to the pathogenesis of asthma. However, the effect of airway exposure to PFOA on airway hyperresponsiveness (AHR) in patients with asthma is not currently understood. METHODS BALB/c mice were administered OVA to induce asthma. PFOA was then administered intratracheally to OVA-induced mice for seven days. Then we assessed the effect of airway exposure to PFOA on AHR and the regulation of the GR expression in asthmatic mice. RESULTS The results showed aggravated AHR and T helper type 2 (Th2) airway inflammation in asthmatic mice. Furthermore, these mice show a substantial decrease in the expression of the GR mRNA and protein. CONCLUSIONS These data strongly suggest that acute airway exposure to PFOA leads to Th2-related AHR and decreases GR expression, which may increase the difficulty in the treatment of asthma.
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Affiliation(s)
- Zeyu Zeng
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Weihui Ma
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ran Zhao
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
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216
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Cai Z, Zhang J, He Y, Xia L, Dong X, Chen G, Zhou Y, Hu X, Zhong S, Wang Y, Chen H, Xie D, Liu X, Liu J. Liquid biopsy by combining 5-hydroxymethylcytosine signatures of plasma cell-free DNA and protein biomarkers for diagnosis and prognosis of hepatocellular carcinoma. ESMO Open 2021; 6:100021. [PMID: 33508734 PMCID: PMC7841321 DOI: 10.1016/j.esmoop.2020.100021] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 09/16/2020] [Revised: 10/29/2020] [Accepted: 11/14/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Liquid biopsy based on 5-hydroxymethylcytosine (5hmC) signatures of plasma cell-free DNA (cfDNA) originating from tumor cells provides a novel approach for early diagnosis in hepatocellular carcinoma (HCC). Here, we sought to develop a reliable model using cfDNA 5hmC signatures and protein biomarkers for diagnosis and prognosis of HCC. PATIENTS AND METHODS We carried out genome-wide 5hmC sequencing of cfDNA samples collected from 165 healthy volunteers, 62 liver cirrhosis (LC) patients and 135 HCC patients. A sensitive 5hmC diagnostic model was developed based on 5hmC signatures selected by sparse Partial Least Squares Discriminant Analysis and cross-validation to define the weighted diagnostic score (wd-score). Then, we combined protein biomarkers with the wd-score to build a more robust score (HCC score) by logistic regression. RESULTS The distribution pattern of differential 5hmC regions could clearly distinguish HCC patients, LC patients and healthy volunteers. The wd-score based on 64 5hmC signatures in cfDNA achieves 93.24% of area under the curve (AUC) to distinguish HCC patients from non-HCC patients, and the HCC score by combing protein biomarkers achieves 92.75% of AUC to distinguish HCC patients from LC patients. Meanwhile, the HCC score showed high capacity for screening high recurrence risk patients after receiving surgical resection, and appeared to be an independent indicator for both relapse-free survival (P = 0.00865) and overall survival (P = 0.000739). Furthermore, the values of the HCC score in patients' longitudinal plasma samples were positively associated with tumor burden dynamics during follow-up. CONCLUSION We have developed and validated a novel non-invasive liquid biopsy strategy for HCC diagnosis, prognosis and surveillance during HCC progression.
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Affiliation(s)
- Z Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China
| | - J Zhang
- Frontier Science Center for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, P. R. China
| | - Y He
- Frontier Science Center for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, P. R. China; Laboratory of Nervous System Disease and Brain Functions, Clinical Research Institute, The Affiliated Hospital of Southwest Medical University, Luzhou, P. R. China
| | - L Xia
- Frontier Science Center for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, P. R. China
| | - X Dong
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China
| | - G Chen
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China
| | - Y Zhou
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China
| | - X Hu
- Frontier Science Center for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, P. R. China
| | - S Zhong
- Tailai Inc., Shanghai, P. R. China
| | - Y Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China
| | - H Chen
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China
| | - D Xie
- Frontier Science Center for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, P. R. China.
| | - X Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China.
| | - J Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, P. R. China; Mengchao Med-X Center, Fuzhou University, Fuzhou, P. R. China.
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Xu S, Wang W, Dong X, Sun Y. Molecular Insight into Cu 2+-Induced Conformational Transitions of Amyloid β-Protein from Fast Kinetic Analysis and Molecular Dynamics Simulations. ACS Chem Neurosci 2021; 12:300-310. [PMID: 33401892 DOI: 10.1021/acschemneuro.0c00502] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Cu2+-mediated amyloid β-protein (Aβ) aggregation is implicated in the pathogenesis of Alzheimer's disease, so it is of significance to understand Cu2+-mediated conformational transitions of Aβ. Herein, four Aβ mutants were created by using the environment-sensitive cyanophenylalanine to respectively substitute F4, Y10, F19, and F20 residues of Aβ40. By using stopped-flow fluorescence spectroscopy and molecular dynamics (MD) simulations, the early stage conformational transitions of the mutants mediated by Cu2+ binding were investigated. The fast kinetics unveils that Cu2+ has more significant influence on the conformational changes of N-terminal (F4 and Y10) than on the central hydrophobic core (CHC, F19, and F20) under different pH conditions (pH 6.6-8.0), especially Y10. Interestingly, lag periods of the conformational transitions are observed for the F19 and F20 mutants at pH 8.0, indicating the slow response of the two mutation sites on the conformational transitions. More importantly, significantly longer lag periods for F20 than for F19 indicate the conduction of the transition from F19 to F20. The conduction time (difference in lag period) decreases from 4.5 s at Cu2+ = 0 to undetectable (<1 ms) at Cu2+ = 10 μM. The significant difference in the response time of F19 and F20 and the fast local conformational changes of Y10 imply that the conformational transitions of Aβ start around Y10. MD simulations support the observation of hydrophobicity increase at N-terminal during the conformational transitions of Aβ-Cu2+. It also reveals that Y10 is immediately approached by Cu2+, supporting the speculation that the starting point of conformational transitions of Aβ is near Y10. The work has provided molecular insight into the early stage conformational transitions of Aβ40 mediated by Cu2+.
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Affiliation(s)
- Shaoying Xu
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - Wenjuan Wang
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - Xiaoyan Dong
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
- Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
| | - Yan Sun
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
- Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
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Zheng Y, Liu J, Zhuang J, Dong X, Yu M, Li Z. Silencing of UCA1 Protects Against MPP +-Induced Cytotoxicity in SK-N-SH Cells via Modulating KCTD20 Expression by Sponging miR-423-5p. Neurochem Res 2021; 46:878-887. [PMID: 33464446 DOI: 10.1007/s11064-020-03214-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 12/17/2020] [Accepted: 12/22/2020] [Indexed: 11/25/2022]
Abstract
Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder. Long noncoding RNA (lncRNA) urothelial carcinoma-associated 1 (UCA1) has been implicated in PD development. Nevertheless, little insight has been gained on the mechanisms of UCA1 in PD pathogenesis. The levels of UCA1, miR-423-5p and potassium channel tetramerization domain containing 20 (KCTD20) were assessed by qRT-PCR and western blot. Cell viability was gauged by the CCK-8 assay, and cell apoptosis was detected by flow cytometry. Targeted relationships among UCA1, miR-423-5p and KCTD20 were verified by dual-luciferase reporter and RNA immunoprecipitation assays. Our data showed that MPP+ induced UCA1 expression in SK-N-SH cells. UCA1 silencing protected against MPP+-evoked cytotoxicity in SK-N-SH cells. UCA1 functioned as a miR-423-5p sponge, and the protective impact of UCA1 silencing on MPP+-evoked cytotoxicity was mediated by miR-423-5p. KCTD20 was a direct target of miR-423-5p, and miR-423-5p overexpression mitigated MPP+-triggered cell injury by down-regulating KCTD20. Furthermore, UCA1 regulated KCTD20 expression by acting as a sponge of miR-423-5p in SK-N-SH cells. Our study first identified that the silencing of UCA1 protected SK-N-SH cells from MPP+-evoked cytotoxicity at least in part by targeting the miR-423-5p/KCTD20 axis.
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Affiliation(s)
- Yanhua Zheng
- Department of Neurology, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Junpeng Liu
- Department of Neurology, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Jiajun Zhuang
- Department of Neurology, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Xiaoyan Dong
- Department of Neurology, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Miao Yu
- Department of Neurology, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Zhihui Li
- Department of Neurology, Weifang Brain Hospital, No. 553, Dongfeng West Street, Weicheng District, Weifang, 261021, Shandong, China.
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Lan Y, Zeng W, Dong X, Lu H. Opsin 5 is a key regulator of ultraviolet radiation-induced melanogenesis in human epidermal melanocytes. Br J Dermatol 2021; 185:391-404. [PMID: 33400324 PMCID: PMC8453816 DOI: 10.1111/bjd.19797] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2021] [Indexed: 12/24/2022]
Abstract
Background Human skin, which is constantly exposed to solar ultraviolet radiation (UVR), has a unique ability to respond by increasing its pigmentation in a protective process driven by melanogenesis in human epidermal melanocytes (HEMs). However, the molecular mechanisms used by HEMs to detect and respond to UVR remain unclear. Objectives To investigate the function and potential mechanism of opsin 5 (OPN5), a photoreceptor responsive to UVR wavelengths, in melanogenesis in HEMs. Methods Melanin content in HEMs was determined using the NaOH method, and activity of tyrosinase (TYR) (a key enzyme in melanin synthesis) was determined by the l‐DOPA method. OPN5 expression in UVR‐treated vs. untreated HEMs and explant tissues was detected by reverse‐transcription quantitative polymerase chain reaction (RT‐qPCR), Western blotting and immunofluorescence. Short interfering RNA‐mediated OPN5 knockdown and a lentivirus OPN5 overexpression model were used to examine their respective effects on TYR, tyrosinase‐related protein 1 (TRP1), TRP2 and microphthalmia‐associated transcription factor (MITF) expression, under UVR. Changes in expression of TYR, TRP1 and TRP2 caused by changes in OPN5 expression level were detected by RT‐qPCR and Western blot. Furthermore, changes in signalling pathway proteins were assayed. Results We found that OPN5 is the key sensor in HEMs responsible for UVR‐induced melanogenesis. OPN5‐induced melanogenesis required Ca2+‐dependent G protein‐coupled receptor‐ and protein kinase C signal transduction, thus contributing to the UVR‐induced MITF response to mediate downstream cellular effects, and providing evidence of OPN5 function in mammalian phototransduction. Remarkably, OPN5 activation was necessary for UVR‐induced increase in cellular melanin and has an inherent function in melanocyte melanogenesis. Conclusions Our results provide insight into the molecular mechanisms of UVR sensing and phototransduction in melanocytes, and may reveal molecular targets for preventing pigmentation or pigment diseases.
What is already known about this topic?
Ultraviolet radiation (UVR) induces a protective response to DNA damage mediated by melanin synthesis in human epidermal melanocytes (HEMs). Tyrosinase (TYR), with tyrosinase‐related proteins (TRP1, TRP2), are the key enzymes for melanin synthesis. Microphthalmia‐associated transcription factor regulates key genes for melanocyte development and differentiation, and can stimulate melanogenesis by activating transcription of TYR and other pigmentation genes, including TRP1. Opsin 5 (OPN5) is known to function as a photoreceptor responsive to wavelengths in the near UV spectrum.
What does this study add?UVR induces melanogenesis in HEMs via OPN5. OPN5 regulates expression of TYR, TRP1 and TRP2 through the calcium‐dependent G protein‐coupled and protein kinase C signalling pathways. OPN5 has an inherent role in HEMs in mediating melanogenesis.
What is the translational message?OPN5 was discovered as a key sensor for UVR‐induced melanogenesis in human skin melanocytes. It could be a target for early treatment of pigmentation or pigment diseases, to provide a more personalized and economically feasible method.
Linked Comment: L.V.M. de Assis and A.M. de Lauro Castrucci. Br J Dermatol 2021; 185:249–250. Plain language summary available online
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Affiliation(s)
- Y Lan
- School of Public Health, Guizhou Medical University, Guiyang, Guizhou, 550004, China
| | - W Zeng
- Department of Immunology, Basic Medical School, Guizhou Medical University, Guiyang, Guizhou, 550004, China
| | - X Dong
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550001, China
| | - H Lu
- School of Public Health, Guizhou Medical University, Guiyang, Guizhou, 550004, China.,Department of Immunology, Basic Medical School, Guizhou Medical University, Guiyang, Guizhou, 550004, China.,Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550001, China
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Abstract
Objective: To analyze the clinical characteristics of adenovirus pneumonia (ADVP) in children and explore risk factors for severe ADVP. Methods: Clinical data from 7,008 hospitalized children with community-acquired pneumonia and 211 with ADVP were retrospectively analyzed between July 2014 and June 2019. Eighty-six patients were diagnosed with severe pneumonia, and related risk factors were analyzed. Results: ADVP accounts for 3.01% (211/7008) of CAP in hospitalized children. Among 211 patients, 167 (64.9%) children aged 1-5 years old, and the onset was in winter and spring for 126 (59.7%) children. All patients had cough, and 116 (92.8%) patients with mild cases and 82 (95.4%) patients with severe cases had varying degrees of fever. The duration of fever in the severe ADVP group and mild ADVP group was 7.3 and 5.4 days, respectively. The average hospital stays were 9.8 and 5.8 days, respectively. There was no significant difference in the levels of WBC and ESR between the two groups, but the levels of N%, CRP, PCT and LDH in children with severe ADVP were significantly higher than those in the mild ADVP group. The univariate analysis showed that there were significant differences between the severe ADVP group and the mild ADVP group in ≥7 days of fever and high IgE (P < 0.05). There was no significant difference in sex, age, onset season, mycoplasma infection, bacterial infection between the two groups (P > 0.05). The multivariate logistic analysis showed that ≥7 days of fever and high IgE were independent risk factors for severe ADVP (P < 0.05). Conclusions: Children with severe ADVP have long fever duration, a strong inflammatory response and immune function disturbance. Fever duration (≥7 days) and high IgE were independent risk factors for severe ADVP.
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Affiliation(s)
- Haiqin Zhong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
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Li X, Sun Y, Dong X. Implications from γ-globulin adsorption onto cation exchangers fabricated by sequential alginate grafting and sulfonation. Chin J Chem Eng 2021. [DOI: 10.1016/j.cjche.2020.06.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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222
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Zhang C, Liu Y, Sun Y, Dong X. Complicated effects of a zwitterionic polymer containing dimethyl chains on the structures, activities and stabilities of different enzymes. Biochem Eng J 2021. [DOI: 10.1016/j.bej.2020.107813] [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]
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223
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Abstract
Bitter taste perception is critical to prevent animals from ingesting potentially harmful substances. The aim of this study was to characterize the evolution of T2R4 and test the hypothesis that different regions of the T2R gene are subject to disparate selective pressures, with extracellular regions (ECs) being erratic while transmembrane (TMs) and intracellular regions (ICs) being constrained. Thus, we examined the selective pressures acting on T2R4 and its different regions in 37 primates, and discovered that T2R4 and ECs were subject to neutral evolution and purifying selection, respectively, whereas both TMs and ICs showed purifying selection, as suggested by the hypothesis. We attribute this result to the relatively conservative property of T2R4 gene and the limited number of bitter tastants that T2R4 can respond to. Furthermore, we found that positive selection had acted on the first loop of extracellular regions (EL1). In contrast, the second loop (EL2) and transmembrane region-3, -6, -7 (TM367) were subject to purifying selection, and the third loop (EL3) was subject to neutral evolution. This discovery is probably because EL2, EL3, and TMs play a crucial role in the ligand-binding process, and EL1 is involved in the tastant recognition process. We further tested whether the ω of T2R4 differs among species with different diets and found that a specialized diet affected the evolution of T2R4. Feeding habits, fewer T2Rs, and a dietary shift may account for the results. This study can help to uncover the evolution of T2Rs during the primate evolutionary course.
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Affiliation(s)
- Qiufang Liang
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, Guangxi, China.,Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, Guangxi, China
| | - Fanglan Shu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, Guangxi, China.,Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, Guangxi, China
| | - Xiaoyan Dong
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, Guangxi, China.,Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, Guangxi, China
| | - Ping Feng
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, Guangxi, China.,Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, Guangxi, China
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Liu L, Liu C, Chen R, Zhou Y, Meng X, Hong J, Cao L, Lu Y, Dong X, Xia M, Ding B, Qian L, Wang L, Zhou W, Gui Y, Zhang X. Associations of short-term exposure to air pollution and emergency department visits for pediatric asthma in Shanghai, China. Chemosphere 2021; 263:127856. [PMID: 32822929 DOI: 10.1016/j.chemosphere.2020.127856] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [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: 02/14/2020] [Revised: 06/13/2020] [Accepted: 07/27/2020] [Indexed: 05/08/2023]
Abstract
There is limited evidence regarding the relationship between air pollution and pediatric asthma in developing countries. This study aimed to investigate the association between short-term exposure to ambient air pollutants and pediatric asthma emergency department (ED) visits in Shanghai, China. We collected data on six criteria air pollutants (PM2.5, PM10, NO2, SO2, CO, and O3) and daily ED visits for pediatric asthma patients from 66 hospitals in Shanghai from 2016 to 2018. The generalized additive model combined with polynomial distributed lag model was applied to explore the associations. We fitted two-pollutant models and stratified the analyses by sex, age, and season. In total, we identified 108,817 emergency department visits for pediatric asthma. A 10 μg/m3 increase in the concentrations of PM2.5, NO2, SO2, and O3 was significantly associated with increased risks of pediatric asthma ED visits, with relative risk of pediatric asthma of 1.011 [95% confidence interval (CI): 1.002, 1.021], 1.030 (95%CI: 1.017, 1.043), 1.106 (95%CI: 1.041, 1.174), and 1.009 (95%CI: 1.001, 1.017), respectively. The associations of NO2 remained robust in the two-pollutant models. There were stronger associations for older children (6-18 years) and in warm seasons. The concentration-response curves for pediatric asthma and PM2.5, NO2, SO2, and O3 were steeper at lower and moderate concentrations but became flatter at higher concentrations. This analysis provided evidence that short-term exposure to air pollutants (PM2.5, NO2, SO2, and O3) could increase the risk of asthma exacerbations among children, and health benefits would be gained from improved air quality.
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Affiliation(s)
- Lijuan Liu
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yufeng Zhou
- Institute of Pediatrics, Children's Hospital of Fudan University, Shanghai, 201102, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Jianguo Hong
- Department of Pediatrics, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, 200080, China
| | - Lanfang Cao
- Department of Pediatrics, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yanming Lu
- Department of Pediatrics, South Campus, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 201112, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Children's Hospital of Shanghai Jiaotong University, Shanghai, 200040, China
| | - Min Xia
- Department of Pediatrics, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Bo Ding
- Department of Pediatrics, South Campus, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 201112, China
| | - Liling Qian
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Libo Wang
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Wenhao Zhou
- Department of Neonatology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Yonghao Gui
- Cardiovascular Center, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xiaobo Zhang
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China.
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Zhong H, Yin R, Zhao R, Jiang K, Sun C, Dong X. Analysis of Clinical Characteristics and Risk Factors of Plastic Bronchitis in Children With Mycoplasma pneumoniae Pneumonia. Front Pediatr 2021; 9:735093. [PMID: 34733807 PMCID: PMC8558491 DOI: 10.3389/fped.2021.735093] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/22/2021] [Indexed: 12/09/2022] Open
Abstract
Objective: To analyze the clinical characteristics of plastic bronchitis (PB) in children with Mycoplasma pneumoniae pneumonia (MPP) in order to explore its risk factors. Methods: A retrospective analysis was performed in MPP children receiving bronchoscopy admitted to department of respiratory medicine in Shanghai Children's Hospital from January 2018 to December 2020. According to the bronchoscopic findings, the patients were divided into PB group and non-PB group. The clinical manifestations, laboratory examination, etiology, treatment methods and outcomes of the children were analyzed. Logistic regression was used to analyze the risk factors for PB in children with MPP. Results: A total of 296 children with MPP were enrolled in the study, including 42 (14.2%) children in the PB group and 254 (85.8%) children in the non-PB group. There was no difference in the ratios of gender, age, proportion of fever, cough, wet rales, and wheezing rales between the two groups (P > 0.05). The univariate analysis showed that there were significant differences between the PB group and the non-PB group in LDH, D-dimer, CD3+CD4+(%), CD3+CD4+/CD3+CD8+, CD3 count, CD4 count, CD8 count, complement 3, IL8, IL-1β, IL-2, IL-10 (P < 0.05). The multivariate logistic regression analysis showed that fever duration > 12 d, IL-8 > 2,721.33 pg/ml, LDH > 482 U/L and complement 3 <1.02 g/L were independent risk factors for PB in children with MPP. Conclusions: Children with PB caused by MPP have protracted fever, a strong inflammatory response and immune function disturbance.
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Affiliation(s)
- Haiqin Zhong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Rong Yin
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ran Zhao
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Kun Jiang
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Sun
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
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Wang JY, Dong X, Yu Z, Ge L, Lu L, Ding L, Gan W. Borneol inhibits CD4 + T cells proliferation by down-regulating miR-26a and miR-142-3p to attenuate asthma. Int Immunopharmacol 2021; 90:107223. [PMID: 33272847 DOI: 10.1016/j.intimp.2020.107223] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 06/28/2020] [Revised: 11/12/2020] [Accepted: 11/16/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND Asthma is a chronic airway inflammatory disease caused by a variety of cytokines and signaling pathways closely related to immunoregulation. Corticosteroids are the most widely used drug in the asthma treatment. However, the use of corticosteroids could cause topical side effects. So, it's important to find new drugs for asthma treatment. Our study aims to explore the pharmacological effect of borneol on asthma and its underlying mechanism. METHODS We constructed the OVA-induced asthma model to investigate the effect of borneol on asthma in mice. HE and PAS staining was used to detect the effect of borneol on pathological change of mice with asthma. Inflammatory cytokines were measured by ELISA. qRT-PCR was used to explore the effect of borneol on microRNAs expression. Cell proliferation of CD4 + T cells was detected by CCK-8 assay and flow cytometry. Western blot was used to detect pten expression and Akt activation. RESULTS We found that borneol significantly alleviated asthma progression in mice. Borneol inhibited CD4 + T cells infiltration in vivo and proliferation in vitro by downregulating miR-26a and miR-142-3p. miR-26a and miR-142-3p promoted CD4 + T cells proliferation in vitro through targeting Pten. Overexpression of miR-26a and miR-142-3p abolished the effect of borneol in vivo. CONCLUSION In a word, these findings suggested that borneol attenuated asthma in mice by decreasing the CD4 + T cells infiltration. The molecular mechanism of borneol was dependent on the downregulation of miR-26a and miR-142-3p to upregulate the Pten expression.
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Affiliation(s)
- Jin-Ya Wang
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, 262 Zhongshan North Road, Nanjing, Jiangsu 210003, China.
| | - Xiaoyan Dong
- Department of Pulmonary, Shanghai Children's Hospital, Shanghai Jiaotong University Shanghai, China
| | - Zhiwei Yu
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, 262 Zhongshan North Road, Nanjing, Jiangsu 210003, China; Department of Pediatrics, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Lei Ge
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, 262 Zhongshan North Road, Nanjing, Jiangsu 210003, China
| | - Lu Lu
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, 262 Zhongshan North Road, Nanjing, Jiangsu 210003, China
| | - Ling Ding
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, 262 Zhongshan North Road, Nanjing, Jiangsu 210003, China
| | - Weihua Gan
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, 262 Zhongshan North Road, Nanjing, Jiangsu 210003, China.
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Wang Y, Dong X, Zhao XL, Rezhake R, Shen GQ, Talehati D, Liu LP, Zhao FH. [Genotype distribution and behavioral risk factor analysis of human papillomavirus infection among Kazak women in Xinjiang Uygur Autonomous Region]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:2112-2118. [PMID: 33378825 DOI: 10.3760/cma.j.cn112338-20200210-00085] [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: 11/05/2022]
Abstract
Objective: To investigate the prevalence and genotype distribution of high-risk human papillomavirus (HR-HPV) and the correlation between cervical lesions and analyze the risk factors for HR-HPV infection. Methods: In June 2018, a population-based study for cervical cancer screening in Tuoli county of Xinjiang Uygur Autonomous Region was conducted. A total of 2 000 Kazak women aged 25-64 years were included in the study. Three cervical exfoliated cells samples were collected from them for careHPV, PCR HPV, p16(INK4a), and liquid-based cytology (LBC) tests. Women with any positive test were referred for colposcopy with biopsies taken at abnormal sites. Histo-pathological diagnoses were used as the gold standard. Results: The overall prevalence of HPV was 14.55%, among which the infection rate of HR-HPV was 12.90%, which was even higher in the 50-54 years age group. The most prevalent genotypes of HR-HPV were HPV16 (2.80%), HPV51(2.35%), HPV52 (1.70%), HPV56 (1.50%), and HPV39 (1.20%). The most common HPV infection was a single infection (71.48%). In the age group of 50-54 years, the multiple infection rates were higher, with the majority of double infection (69.88%), and HPV42 and 56 were the most common co-infection types. HPV16 (31.82%), HPV51 (27.27%) and HPV18 (13.64%) were higher in cervical intraepithelial neplasia grade 1, HPV16 (57.14%) was higher in cervical intraepithelial neplasia grade 2, and HPV16 (55.56%) and HPV18 (33.33%) were higher in cervical intraepithelial neplasia grade 3 or worse. Results from the multivariate logistic regression analysis showed that higher education, menopause, and syphilis infection increased the HPV infection. Conclusions: The most common prevalence genotypes of HR-HPV among Kazak women were HPV16, HPV51, and HPV52. The infection rate of HR-HPV among Kazak women was correlated with education level, menopausal status, and syphilis infection. Measures should be taken targeting high-risk factors. This result suggests that STD patients and women aged 50 and above should be encouraged for screening.
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Affiliation(s)
- Y Wang
- Departments of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - X Dong
- Xinjiang Medical University, Urumqi 830011, China
| | - X L Zhao
- Departments of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Remila Rezhake
- Departments of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G Q Shen
- Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, China
| | | | - L P Liu
- Tuoli People's Hospital, Tacheng 834700, China
| | - F H Zhao
- Departments of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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228
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Liu X, Liu Y, Johnson KS, Dong X, Xie Z. Protein Residues and a Novel Motif Involved in the Cellular Localization of CheZ in Azorhizobium caulinodans ORS571. Front Microbiol 2020; 11:585140. [PMID: 33365019 PMCID: PMC7750401 DOI: 10.3389/fmicb.2020.585140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 11/16/2020] [Indexed: 12/26/2022] Open
Abstract
Chemotaxis is essential for the competitiveness of motile bacteria in complex and harsh environments. The localization of chemotactic proteins in the cell is critical for coordinating a maximal response to chemotactic signals. One chemotaxis protein with a well-defined subcellular localization is the phosphatase CheZ. CheZ localizes to cell poles by binding with CheA in Escherichia coli and other enteric bacteria, or binding with a poorly understood protein called ChePep in epsilon-Proteobacteria. In alpha-Proteobacteria, CheZ lacks CheA-binding sites, and its cellular localization remains unknown. We therefore determined the localization of CheZ in the alpha-Proteobacteria Azorhizobium caulinodans ORS571. A. caulinodans CheZ, also termed as CheZAC, was found to be located to cell poles independently of CheA, and we suspect that either the N-terminal helix or the four-helix bundle of CheZAC is sufficient to locate to cell poles. We also found a novel motif, AXXFQ, which is adjacent to the phosphatase active motif DXXXQ, which effects the monopolar localization of CheZAC. This novel motif consisting of AXXFQ is conserved in CheZ and widely distributed among Proteobacteria. Finally, we found that the substitution of phosphatase active site affects the polar localization of CheZAC. In total, this work characterized the localization pattern of CheZ containing a novel motif, and we mapped the regions of CheZAC that are critical for its polar localization.
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Affiliation(s)
- Xiaolin Liu
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Yanan Liu
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Kevin Scot Johnson
- Department of Microbiology and Environmental Toxicology, University of California, Santa Cruz, Santa Cruz, CA, United States
| | - Xiaoyan Dong
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Zhihong Xie
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China.,National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment of Shandong Agricultural University, Taian, China
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229
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Zhong H, Yan S, Jiang K, Hu Y, Dong X. A case report of bronchial pleomorphic adenoma in a child in China. BMC Pulm Med 2020; 20:295. [PMID: 33176739 PMCID: PMC7661225 DOI: 10.1186/s12890-020-01338-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/03/2020] [Indexed: 11/13/2023] Open
Abstract
BACKGROUND Paediatric cases of pleomorphic adenoma of the bronchus are rare in clinical practice, despite pleomorphic adenoma being the most common histological form of salivary gland neoplasm. To date, no such cases have been reported in China. CASE PRESENTATION We report a case of pleomorphic adenoma of the bronchus in a 10-year-old child with no obvious positive signs on examination. Chest-enhanced computed tomography and bronchoscopy showed a large white mass in the right principal bronchus. The patient was treated by bronchial mass resection. Biopsy confirmed the diagnosis of pleomorphic adenoma. CONCLUSIONS We not only describe a rare benign bronchial tumour in children but also demonstrate the successful use of surgery as a radical cure for pleomorphic adenoma.
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Affiliation(s)
- Haiqin Zhong
- Department of Respiratory Medicine, Children's Hospital of Shanghai, Shanghai Jiao Tong University, Shanghai, China
| | - Silei Yan
- Department of Respiratory Medicine, Children's Hospital of Shanghai, Shanghai Jiao Tong University, Shanghai, China
| | - Kung Jiang
- Department of Respiratory Medicine, Children's Hospital of Shanghai, Shanghai Jiao Tong University, Shanghai, China
| | - Yijing Hu
- Department of Respiratory Medicine, Children's Hospital of Shanghai, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Children's Hospital of Shanghai, Shanghai Jiao Tong University, Shanghai, China.
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230
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Ai X, Pan Y, Shi J, Yang N, Liu C, Zhou J, Zhang X, Dong X, He J, Li X, Chen G, Li X, Zhang H, Liao W, Zhang Y, Ma Z, Zhang B, Zhang D, Lu S. 377O A randomized double-blind phase III study of niraparib versus placebo as maintenance therapy in extensive-stage small cell lung cancer. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.371] [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: 11/17/2022] Open
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231
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Wang Q, Fang J, Shi W, Dong X. Distribution characteristics and policy-related improvements of PM 2.5 and its components in six Chinese cities. Environ Pollut 2020; 266:115299. [PMID: 32818727 DOI: 10.1016/j.envpol.2020.115299] [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] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 05/21/2023]
Abstract
This study presents the distribution characteristics and possible sources of fine particulate matter (PM2.5) and its components, as well as policy-related pollution reduction in the Chinese cities of Jinan, Shijiazhuang (SJZ), Chengdu, Wuxi, Wuhan, and Harbin (HRB). PM2.5 samples were collected using mid-volume samplers during the autumn of 2017 in all six cities. The samples were analyzed to determine the ambient PM2.5 compositions, including the concentrations of water-soluble inorganic ions (WSIIs), carbonaceous aerosols, and elements concentrations. The chemical ratios of organic carbon to elemental carbon and nitrate to sulfate as well as the enrichment factors of elements were calculated to establish the possible sources of PM2.5 in all six cities. The highest PM2.5 concentration was 152 μg/m3 in SJZ, while the lowest concentration was 47 μg/m3 in HRB. During the sampling period in these six cities, the PM2.5 concentrations exceeded the World Health Organization recommended daily average air quality guidelines by 2.4-6.1 times, and WSIIs, carbonaceous aerosols, and elements accounted for 31.8%-61.6%, 9.8%-35.1%, and 0.9%-2.5% of the PM2.5, respectively. In 2013, the Chinese government formulated the Air Pollution Prevention and Control Action Plan (APPCAP) for controlling air pollution, and effective measures have been implemented since then. Compared with previous studies conducted during 2009-2013 before the implementation of the APPCAP, the concentrations of PM2.5 and most of its components decreased to varying degrees, and large changes in the chemical ratios of PM2.5 components were observed. These results indicate that PM2.5 sources vary among these six cities and that China has improved the ambient air quality in these cities through the implementation of air pollution control policies. The APPCAP have achieved considerable results in continuously reducing pollution concentrations, although the air pollution concentrations observed in this study remain high compared with those of other countries.
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Affiliation(s)
- Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Xiaoyan Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
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232
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Fang J, Tang S, Zhou J, Zhou J, Cui L, Kong F, Gao Y, Shen Y, Deng F, Zhang Y, Liu Y, Dong H, Dong X, Dong L, Peng X, Cao M, Wang Y, Ding C, Du Y, Wang Q, Wang C, Zhang Y, Wang Y, Li T, Shi X. Associations between Personal PM 2.5 Elemental Constituents and Decline of Kidney Function in Older Individuals: the China BAPE Study. Environ Sci Technol 2020; 54:13167-13174. [PMID: 32929958 DOI: 10.1021/acs.est.0c04051] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Long-term exposure to fine particulate matter (PM2.5) is associated with kidney dysfunction. However, few studies have investigated acute effects of PM2.5 elemental constituents on renal function. We evaluated associations between personal PM2.5 and its elemental constituents and kidney function, assessed by an estimated glomerular filtration rate (eGFR) in Biomarkers of Air Pollutants Exposure in the Chinese aged 60-69 study. Seventy one older individuals were visited monthly between September 2018 and January 2019. Each participant wore a PM2.5 monitor for 72 h, responded to a questionnaire, and underwent a physical examination with blood sampling. Linear mixed-effect models were used to estimate associations between personal PM2.5 elemental constituents and eGFR. We found that significant changes in eGFR from -1.69% [95% confidence interval (CI): -3.34%, -0.01%] to -3.27% (95% CI: -5.04%, -1.47%) were associated with interquartile range (IQR) increases in individual PM2.5 exposures at various lag periods (7-12, 13-24, 0-24, 25-48, and 49-72 h). An IQR increase in 72 h moving averages of copper, manganese, and titanium in personal PM2.5 corresponded to -2.34% (95% CI: -3.67%, -0.99%) to -4.56% (95% CI: -7.04%, -2.00%) changes in eGFR. Personal PM2.5 and some of its elemental constituents are inversely associated with eGFR in older individuals.
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Affiliation(s)
- Jianlong Fang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Jingwen Zhou
- Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
| | - Jingyang Zhou
- Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China
| | - Liangliang Cui
- Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
| | - Fanling Kong
- Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China
| | - Ying Gao
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yu Shen
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Fuchang Deng
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yingjian Zhang
- Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Haoran Dong
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xiaoyan Dong
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Li Dong
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xiumiao Peng
- Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
| | - Meng Cao
- Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
| | - Yan Wang
- Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China
| | - Changming Ding
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanjun Du
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qiong Wang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chong Wang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
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233
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Liu MM, Feng Y, Zhang JF, Shi L, Wang XY, Liu L, Zhao S, Xiong CR, Dong X, Yao YY, Yang K. [Spatio-temporal patterns of Oncomelania hupensis snail habitats in Suzhou, Wuxi and Changzhou cities along the Taihu Lake region]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:469-475. [PMID: 33185057 DOI: 10.16250/j.32.1374.2020222] [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: 11/27/2022]
Abstract
OBJECTIVE To investigate the spatio-temporal distribution characteristics of Oncomelania hupensis snail habitats in three cities of Suzhou, Wuxi and Changzhou along the Taihu Lake region, so as to provide technical supports for establishing a sensitive and highly effective surveillance and forecast system for schistosomiasis. METHODS Snail distribution data were collected from Suzhou, Wuxi and Changzhou cities from 1950 to 2018, and the changing trend for snail habitats were described over years. In addition, the clusters of snail habitats were detected using Kernel density analysis and SaTScan space-time scan analysis. RESULTS The number of snail habitats appeared a single-peak distribution in Suzhou, Wuxi and Changzhou cities from 1950 to 2018, which peaked in 1970 and then declined rapidly. There were 62.68% of snail habitats eliminated within 10 years after identification, of which 38.24% were eliminated at the year of identification. Kernel density analysis and SaTScan space-time scan analysis revealed that high-density clusters of snail habitats were mainly distributed in Kunshan City, Wuzhong District and Xiangcheng District from 1970 to 1980, and in Yixing City in 1990; since then, the clusters gradually shrank, and overall appeared a move from northeast to west of Taihu Lake. A total of 4 new clusters were detected after 1970, as revealed by space-time scanning of snail habitats. In current snail habitats, emerging snail habitats are mainly identified in Huqiu District (Dongzhu Town), Wuzhong District (Guangfu Town), Taicang City (Shaxi Town) and Jintan District, and re-emerging snail habitats are scattered in 7 districts. CONCLUSIONS The distribution of snail habitats are spatio-temporal aggregation in Suzhou, Wuxi and Changzhou cities. The monitoring and prediction of emerging and re-emerging snail habitats are the key points in the future.
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Affiliation(s)
- M M Liu
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Feng
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - J F Zhang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - L Shi
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - X Y Wang
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - L Liu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - S Zhao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - C R Xiong
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - X Dong
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - Y Y Yao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - K Yang
- School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
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234
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Gao W, Wang W, Dong X, Sun Y. Nitrogen-Doped Carbonized Polymer Dots: A Potent Scavenger and Detector Targeting Alzheimer's β-Amyloid Plaques. Small 2020; 16:e2002804. [PMID: 33006250 DOI: 10.1002/smll.202002804] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 08/05/2020] [Indexed: 05/16/2023]
Abstract
The fibrillization and deposition of β-amyloid protein (Aβ) are recognized to be the pathological hallmarks of Alzheimer's disease (AD), which signify the need for the effective detection and inhibition of Aβ accumulation. Development of multifunctional agents that can inhibit Aβ aggregation, rapidly disaggregate fibrils, and image aggregates is one of the effective strategies to treat and diagnose AD. Herein, the multifunctionality of nitrogen-doped carbonized polymer dots (CPDs) targeting Aβ aggregation is reported. CPDs inhibit the fibrillization of Aβ monomers and rapidly disintegrate Aβ fibrils by electrostatic interactions, hydrogen-bonding and hydrophobic interactions with Aβ in a time scale of seconds to minutes. Moreover, the interactions make CPDs label Aβ fibrils and emit enhanced red fluorescence by the binding, so CPDs can be used for in vivo imaging of the amyloids in transgenic Caenorhabditis elegans CL2006 as an AD model. Importantly, CPDs are demonstrated to scavenge the in vivo amyloid plaques and to promote the lifespan extension of CL2006 strain by alleviating the Aβ-triggered toxicity. Taken together, the multifunctional CPDs show an exciting prospect for further investigations in Aβ-targeted AD treatment and diagnosis, and this study provides new insight into the development of carbon materials in AD theranostics.
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Affiliation(s)
- Weiqun Gao
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
| | - Wenjuan Wang
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
| | - Xiaoyan Dong
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
- Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300350, China
| | - Yan Sun
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
- Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300350, China
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235
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Yang F, Wu M, Peng Y, Dong X, Ge Y. Do Not Ignore Tuberculosis of the Parotid Gland When Meeting Obvious Infiltration of Neutrophils in a Suspicious Swelling by FNAC. Ear Nose Throat J 2020; 101:NP266-NP269. [PMID: 32998533 DOI: 10.1177/0145561320964267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Parotid gland tuberculosis constantly results in unnecessary medical examinations and surgery because of its similarities in the presentation to neoplasms of the parotid gland. Although parotid gland involvement is extremely rare even in tuberculosis-endemic countries, accurate diagnosis of this clinical entity is of great significance because tuberculous parotitis can be successfully treated medically without surgical therapy. Fine needle aspiration cytology (FNAC) and molecular identification of the parotid swellings are efficient in making a rapid diagnosis. Herein, we report an early misdiagnosis of malignancy from a renal transplantation patient on long-term immunologic inhibitor therapy, who ultimately proved to have tuberculosis of the parotid gland by FNAC and molecular identification. The aim of this study is to describe and analyze the etiologic characteristics, epidemiology, clinical presentations, diagnostic methods, histopathologic findings, and pathogenic mechanisms of these rare infections.
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Affiliation(s)
- Fangfang Yang
- Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Mao Wu
- Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Yumeng Peng
- Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Xiaoyan Dong
- Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Yumei Ge
- Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
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236
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Li R, Li Y, Dong X. Preconditioning mesenchymal stromal cells with flagellin enhances the anti‑inflammatory ability of their secretome against lipopolysaccharide‑induced acute lung injury. Mol Med Rep 2020; 22:2753-2766. [PMID: 32945411 PMCID: PMC7453612 DOI: 10.3892/mmr.2020.11380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 06/19/2020] [Indexed: 11/06/2022] Open
Abstract
Acute lung injury (ALI) is a complex condition frequently encountered in the clinical setting. The aim of the present study was to investigate the effect of conditioned media (CM) from human adipose‑derived mesenchymal stromal cells (MSCs) activated by flagellin (F‑CM), a Toll‑like receptor 5 ligand, on inflammation‑induced lung injury. In the in vitro study, RAW264.7 macrophages treated with F‑CM had a higher proportion of cells with the M2 phenotype, lower expression of pro‑inflammatory factors and stronger expression of anti‑inflammatory genes compared with the CM from normal adipose‑derived MSCs. Furthermore, in vivo experiments were performed in mice with ALI induced by intraperitoneal injection of lipopolysaccharide. F‑CM significantly alleviated the lung exudation, inhibited inflammatory cell recruitment in lung tissues and decreased the concentration of inflammatory factors in the bronchoalveolar lavage fluid. These findings indicated that F‑CM has superior anti‑inflammation ability compared with CM, and that it may represent a promising therapeutic approach to the treatment of inflammation‑induced ALI.
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Affiliation(s)
- Rui Li
- Department of Pulmonary, Shanghai Children's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200062, P.R. China
| | - Yu Li
- Department of Plastic and Reconstructive Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P.R. China
| | - Xiaoyan Dong
- Department of Pulmonary, Shanghai Children's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200062, P.R. China
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237
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Bian Y, Xie X, Shen J, Yao M, Dong X, Qian L, Qu Y. 1658P The landscape of NTRK fusions in Chinese sarcoma patients. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1884] [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] Open
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Dong X, Fu X, Yu M, Li Z. Long Intergenic Non-Protein Coding RNA 1094 Promotes Initiation and Progression of Glioblastoma by Promoting microRNA-577-Regulated Stabilization of Brain-Derived Neurotrophic Factor. Cancer Manag Res 2020; 12:5619-5631. [PMID: 32765065 PMCID: PMC7359895 DOI: 10.2147/cmar.s256147] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 06/09/2020] [Indexed: 12/11/2022] Open
Abstract
Purpose The long intergenic non-protein coding RNA 1094 (LINC01094) plays a vital role in the oncogenicity of clear cell renal cell carcinoma. However, its expression profile and detailed roles in glioblastoma (GBM) remain unknown. In this study, we mainly investigated the expression and roles of LINC01094 in GBM and focused on the mechanism by which LINC01094 regulates the malignant characteristics of GBM. Patients and Methods LINC01094 expression in GBM was determined with quantitative reverse transcription polymerase chain reaction. The proliferation, apoptosis, migration, invasion in vitro, and tumor growth in vivo of GBM cells were evaluated using Cell Counting Kit-8 assay, flow cytometry analysis, migration assay, invasion assay, and tumor xenograft models, respectively. Results LINC01094 was overexpressed in GBM tissues and cell lines. Moreover, increased LINC01094 expression was associated with adverse clinicopathological parameters in patients with GBM. Loss of LINC01094 inhibited GBM cell proliferation, migration, and invasion; promoted cell apoptosis; and suppressed tumor growth in vivo. Mechanically, LINC01094 functioned as a molecular sponge for microRNA-577 (miR-577) and consequently enhanced the expression of brain-derived neurotrophic factor (BDNF) in GBM cells. Both miR-577 inhibition and BDNF expression enhancement reversed LINC01094 deficiency-mediated inhibition of malignant processes in GBM cells. Conclusion Our results verified the involvement of the LINC01094/miR-577/BDNF pathway in GBM cells and its enhancing effects on the aggressive behaviors of GBM cells in vitro and in vivo. This pathway may be a novel and promising focus for the future development of targeted therapies for GBM.
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Affiliation(s)
- Xiaoyan Dong
- Department of Hepatobiliary Surgery, Weifang People's Hospital, Weifang, Shandong 261000, People's Republic of China
| | - Xiuxin Fu
- Department of Hepatobiliary Surgery, Weifang People's Hospital, Weifang, Shandong 261000, People's Republic of China
| | - Miao Yu
- Department of Hepatobiliary Surgery, Weifang People's Hospital, Weifang, Shandong 261000, People's Republic of China
| | - Zengfen Li
- Brain Hospital, Weifang People's Hospital, Weifang, Shandong 261000, People's Republic of China
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239
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Gao M, Yang C, Wang X, Guo M, Yang L, Gao S, Zhang X, Ruan G, Li X, Tian W, Lu G, Dong X, Ma S, Li W, Wang Y, Zhu H, He J, Yang H, Liu G, Xian X. ApoC2 deficiency elicits severe hypertriglyceridemia and spontaneous atherosclerosis: A rodent model rescued from neonatal death. Metabolism 2020; 109:154296. [PMID: 32562799 DOI: 10.1016/j.metabol.2020.154296] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 06/09/2020] [Accepted: 06/17/2020] [Indexed: 12/26/2022]
Abstract
RATIONALE ApoC2 is an important activator for lipoprotein lipase-mediated hydrolysis of triglyceride-rich plasma lipoproteins. ApoC2-deficient patients display severe hypertriglyceridemia (sHTG) and recurrent acute pancreatitis. However, due to embryonic lethality in ApoC2 deleted mouse extensive understanding of ApoC2 function is limited in mammalian species. OBJECTIVE We sought to generate an animal model with ApoC2 deficiency in a rodent with some human-like features and then study the precise effects of ApoC2 on lipid and glucose homeostasis. METHODS AND RESULTS Using CRISPR/Cas9, we deleted Apoc2 gene from golden Syrian hamster and the homozygous (-/-) pups can be born in matured term but exhibited neonatal lethality. By continuous iv administration of normal hamster serum the ApoC2-/- pups could survive till weaning and displayed severe HTG in adulthood on chow diet. A single iv injection of AAV-hApoC2 at birth can also rescue the neonatal death of ApoC2-/- pups. Adult ApoC2-/-hamsters exhibited a unique phenotype of sHTG with hypoglycemia, hypoinsulinemia and spontaneous atherosclerosis. The sHTG in ApoC2-/- adult hamsters could not be corrected by various lipid-lowering medications, but partially ameliorated by medium chain triglyceride diet and completely corrected by AAV-hApoC2. CONCLUSIONS Our study provides a novel ApoC2-deleted mammalian model with severe hypertriglyceridemia that was fully characterized and highlights a potential therapeutic approach for the treatment of ApoC2 deficient patients.
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Affiliation(s)
- Mingming Gao
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China; Laboratory of Lipid Metabolism, Institute of Basic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Chun Yang
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China
| | - Xiaowei Wang
- Laboratory of Lipid Metabolism, Institute of Basic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Mengmeng Guo
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China
| | - Liu Yang
- State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
| | - Shanshan Gao
- State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
| | - Xin Zhang
- Hebei Invivo Biotech Co, Shijiazhuang, China
| | - Guiyun Ruan
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiangping Li
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Wenhong Tian
- Beijing FivePlus Molecular Medicine Institute Co. Ltd., Beijing, China
| | - Guotao Lu
- Surgical Intensive Care Unit, Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xiaoyan Dong
- Beijing FivePlus Molecular Medicine Institute Co. Ltd., Beijing, China
| | - Sisi Ma
- Beijing FivePlus Molecular Medicine Institute Co. Ltd., Beijing, China
| | - Weiqin Li
- Surgical Intensive Care Unit, Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yuhui Wang
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China
| | - Haibo Zhu
- State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
| | - Jiuming He
- State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
| | - Hongyuan Yang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - George Liu
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China.
| | - Xunde Xian
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China.
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240
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Yang C, Tian W, Ma S, Guo M, Lin X, Gao F, Dong X, Gao M, Wang Y, Liu G, Xian X. AAV-Mediated ApoC2 Gene Therapy: Reversal of Severe Hypertriglyceridemia and Rescue of Neonatal Death in ApoC2-Deficient Hamsters. Mol Ther Methods Clin Dev 2020; 18:692-701. [PMID: 32802915 PMCID: PMC7424175 DOI: 10.1016/j.omtm.2020.07.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/10/2020] [Indexed: 11/25/2022]
Abstract
Apolipoprotein C2 (ApoC2) is a key activator of lipoprotein lipase for plasma triglyceride metabolism. ApoC2-deficient patients present with severe hypertriglyceridemia and recurrent acute pancreatitis, for whom the only effective treatment is the infusion of normal plasma containing ApoC2. However, since ApoC2 has a fast catabolic rate, a repeated infusion is required, which limits its clinical use. To explore a safe and efficient approach for ApoC2 deficiency, we herein established an adeno-associated virus expressing human ApoC2 (AAV-hApoC2) to evaluate the efficacy and safety of gene therapy in ApoC2-deficient hypertriglyceridemic hamsters. Administration of AAV-hApoC2 via jugular or orbital vein in adult and neonatal ApoC2-deficient hamsters, respectively, could prevent the neonatal death and effectively improve severe hypertriglyceridemia of ApoC2-deficient hamsters without side effects in a long-term manner. Our novel findings in the present study demonstrate that AAV-hApoC2-mediated gene therapy will be a promising therapeutic approach for clinical patients with severe hypertriglyceridemia caused by ApoC2 deficiency.
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Affiliation(s)
- Chun Yang
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Wenhong Tian
- Beijing FivePlus Molecular Medicine Institute Co. Ltd., Beijing 100176, China
| | - Sisi Ma
- Beijing FivePlus Molecular Medicine Institute Co. Ltd., Beijing 100176, China
| | - Mengmeng Guo
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Xiao Lin
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Fengying Gao
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Xiaoyan Dong
- Beijing FivePlus Molecular Medicine Institute Co. Ltd., Beijing 100176, China
| | - Mingming Gao
- Laboratory of Lipid Metabolism, Institute of Basic Medicine, Hebei Medical University, Shijiazhuang 050017, China
| | - Yuhui Wang
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - George Liu
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Xunde Xian
- Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
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241
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Xiong Q, Liu D, Zhang H, Dong X, Zhang G, Liu Y, Zhang R. Quorum sensing signal autoinducer-2 promotes root colonization of Bacillus velezensis SQR9 by affecting biofilm formation and motility. Appl Microbiol Biotechnol 2020; 104:7177-7185. [PMID: 32621125 DOI: 10.1007/s00253-020-10713-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [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: 02/14/2020] [Revised: 05/07/2020] [Accepted: 06/01/2020] [Indexed: 12/29/2022]
Abstract
Root colonization of beneficial rhizobacteria is critical for their beneficial effects. Quorum sensing (QS) has been reported to affect the colonization of many plant pathogens. However, how QS signals regulate root colonization of beneficial rhizobacteria is unclear. In this study, the QS signal AI-2 synthetase-encoding gene luxS was completely deleted from the genome of the plant beneficial rhizobacterium Bacillus velezensis SQR9, and bioluminescence experiments showed that AI-2 production was blocked. Deletion of luxS reduced biofilm formation, motility, and root colonization of B. velezensis SQR9, while addition of exogenous AI-2 to the mutant restored this phenomenon. These results indicated that AI-2 positively affects the root colonization of B. velezensis SQR9. This study provided new insights for enhancing the colonization of beneficial rhizobacteria. KEY POINTS: • LuxS participated in the synthesis of the quorum sensing signal AI-2 in B. velezensis. • AI-2 enhanced motility, biofilm formation, and root colonization of B. velezensis. • AI-2 stimulated the production of γ-polyglutamic acid by B. velezensis.
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Affiliation(s)
- Qin Xiong
- Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China
| | - Di Liu
- Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China
| | - Huihui Zhang
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Xiaoyan Dong
- Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China
| | - Guishan Zhang
- Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China.
| | - Yunpeng Liu
- Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China.
| | - Ruifu Zhang
- Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China.,Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
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Zhang W, Zeng W, Liu Z, Dong X, Luo H, Zheng Z, He Z, Ye T, Lu H. 395 Burden of malignant skin melanoma in Worldwide, 1990-2017: An analysis of the Global Burden of Disease Study 2017. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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243
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Yan X, Li F, Wang X, Yan J, Zhu F, Tang S, Deng Y, Wang H, Chen R, Yu Z, Li Y, Shang J, Zeng L, Zhao J, Guan C, Liu Q, Chen H, Gong W, Huang X, Zhang YJ, Liu J, Dong X, Zheng W, Nie S, Li D. Neutrophil to lymphocyte ratio as prognostic and predictive factor in patients with coronavirus disease 2019: A retrospective cross-sectional study. J Med Virol 2020; 92:2573-2581. [PMID: 32458459 PMCID: PMC7283791 DOI: 10.1002/jmv.26061] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 05/22/2020] [Indexed: 12/15/2022]
Abstract
This retrospective study was designed to explore whether neutrophil to lymphocyte ratio (NLR) is a prognostic factor in patients with coronavirus disease 2019 (COVID‐19). A cohort of patients with COVID‐19 admitted to the Tongren Hospital of Wuhan University from 11 January 2020 to 3 March 2020 was retrospectively analyzed. Patients with hematologic malignancy were excluded. The NLR was calculated by dividing the neutrophil count by the lymphocyte count. NLR values were measured at the time of admission. The primary outcome was all‐cause in‐hospital mortality. A multivariate logistic analysis was performed. A total of 1004 patients with COVID‐19 were included in this study. The mortality rate was 4.0% (40 cases). The median age of nonsurvivors (68 years) was significantly older than survivors (62 years). Male sex was more predominant in nonsurvival group (27; 67.5%) than in the survival group (466; 48.3%). NLR value of nonsurvival group (median: 49.06; interquartile range [IQR]: 25.71‐69.70) was higher than that of survival group (median: 4.11; IQR: 2.44‐8.12; P < .001). In multivariate logistic regression analysis, after adjusting for confounding factors, NLR more than 11.75 was significantly correlated with all‐cause in‐hospital mortality (odds ratio = 44.351; 95% confidence interval = 4.627‐425.088). These results suggest that the NLR at hospital admission is associated with in‐hospital mortality among patients with COVID‐19. Therefore, the NLR appears to be a significant prognostic biomarker of outcomes in critically ill patients with COVID‐19. However, further investigation is needed to validate this relationship with data collected prospectively. NLR is a significant prognostic biomarker of outcomes in critically ill patients with COVID‐19. COVID‐19 is more likely to infected those elder men with chronic comorbidities. NLR may also help in the early identification of older patients at higher risk of COVID‐19. Close monitoring and timely intervention are needed for elderly patients with COVID‐19.
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Affiliation(s)
- Xisheng Yan
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Fen Li
- Department of Neurology, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xiao Wang
- Department of Emergency & Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jie Yan
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Fen Zhu
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Shifan Tang
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yingzhong Deng
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hua Wang
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Rui Chen
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhili Yu
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yaping Li
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jingzhou Shang
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Lingjun Zeng
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jie Zhao
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Chaokun Guan
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Qiaomei Liu
- Department of Medical Records Statistics, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Haifeng Chen
- Department of Clinical Medicine, Jianghan University, Wuhan, China
| | - Wei Gong
- Department of Emergency & Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xin Huang
- Department of Emergency & Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yu-Jiao Zhang
- Department of Infectious Disease, National Clinical Research Center for Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
| | - Jianguang Liu
- Department of Neurology, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xiaoyan Dong
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
| | - Wen Zheng
- Department of Emergency & Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Shaoping Nie
- Department of Emergency & Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Dongsheng Li
- Department of Cardiovascular Medicine, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, Hubei, China
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Shi D, Lu H, Wang H, Bao S, Qian L, Dong X, Tao K, Xu Z. A simulation training course for family medicine residents in China managing COVID-19. Aust J Gen Pract 2020; 49:364-368. [PMID: 32464736 DOI: 10.31128/ajgp-04-20-5337] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND OBJECTIVES As a result of the pandemic, family physicians face the additional challenge of navigating COVID-19. The aim of this study was to provide simulated training for best-practice management of COVID-19 presentations for residency program trainees in Shanghai, China. METHOD A simulated suspected COVID-19 case was designed on the basis of a real patient. The simulation included: pre‑ and post-simulation surveys, a PowerPoint presentation, simulation practice, debriefing and reflection. Improvement in survey outcomes was assessed using a paired t-test. RESULTS A total of 25 trainees participated in the simulation, consisting of first-, second- and third-year family medicine residents. Significant improvement was observed in their knowledge of COVID-19, and sub-analysis showed that all three grades of residents improved their knowledge significantly. Ninety-six per cent of participants believed the simulation was very helpful. DISCUSSION The simulation scenario improves crisis management skills for family physicians managing the high risk of transmission of respiratory infectious diseases. Higher-order learning outcomes will be explored in future training programs.
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Affiliation(s)
- Dandan Shi
- MM, GP Trainer; Deputy Director, Department of Medical Education, Shanghai Tongren Hospital, Shanghai, China
| | - Hong Lu
- MB, GP Trainer; General Practitioner, Department of General Practice, Shanghai Tongren Hospital, Shanghai, China
| | - Haiyuan Wang
- MB, GP Trainer; General Practitioner, Xinjing Town Community Health Service Center, Shanghai, China
| | - Shisan Bao
- MD, PhD, Professor, Discipline of Pathology, School of Medical Sciences, University of Sydney, NSW
| | - Lingmei Qian
- MD, GP Trainer; Chief Physician, Department of General Practice, Shanghai Tongren Hospital, Shanghai, China; Executive Deputy Director, Community Health Care Institute, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Dong
- MM, Director, Department of Medical Education, Shanghai Tongren Hospital, Shanghai, China
| | - Kun Tao
- MD, Vice President, Shanghai Tongren Hospital, Shanghai, China
| | - Zhongqing Xu
- Department of General Practice, Shanghai Tongren Hospital, Shanghai, China; Department of General Practice, Shanghai JiaoTong University School of Medicine, Shanghai, China
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Zou J, Zhu J, Yang Z, Li L, Fan W, He L, Tang W, Deng L, Mu J, Ma Y, Cheng Y, Huang W, Dong X, Chen X. A Phototheranostic Strategy to Continuously Deliver Singlet Oxygen in the Dark and Hypoxic Tumor Microenvironment. Angew Chem Int Ed Engl 2020; 59:8833-8838. [PMID: 31943602 PMCID: PMC7250713 DOI: 10.1002/anie.201914384] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [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: 11/11/2019] [Revised: 12/27/2019] [Indexed: 12/11/2022]
Abstract
Continuous irradiation during photodynamic therapy (PDT) inevitably induces tumor hypoxia, thereby weakening the PDT effect. In PDT-induced hypoxia, providing singlet oxygen from stored chemical energy may enhance the cell-killing effect and boost the therapeutic effect. Herein, we present a phototheranostic (DPPTPE@PEG-Py NPs) prepared by using a 2-pyridone-based diblock polymer (PEG-Py) to encapsulate a semiconducting, heavy-atom-free pyrrolopyrrolidone-tetraphenylethylene (DPPTPE) with high singlet-oxygen-generation ability both in dichloromethane and water. The PEG-Py can trap the 1 O2 generated from DPPTPE under laser irradiation and form a stable intermediate of endoperoxide, which can then release 1 O2 in the dark, hypoxic tumor microenvironment. Furthermore, fluorescence-imaging-guided phototherapy demonstrates that this phototheranostic could completely inhibit tumor growth with the help of laser irradiation.
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Affiliation(s)
- J Zou
- Key Laboratory of Flexible Electronics (KLOFE) &, Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211800, China
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - J Zhu
- Key Laboratory of Flexible Electronics (KLOFE) &, Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211800, China
| | - Z Yang
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - L Li
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - W Fan
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - L He
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - W Tang
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - L Deng
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - J Mu
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Y Ma
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Y Cheng
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - W Huang
- Key Laboratory of Flexible Electronics (KLOFE) &, Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211800, China
- Shaanxi Institute of Flexible Electronics (SIFE), Northwestern Polytechnical University (NPU), 127 West Youyi Road, Xi’an 710072, China
| | - X Dong
- Key Laboratory of Flexible Electronics (KLOFE) &, Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211800, China
| | - X Chen
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
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Liu E, Smyth RL, Luo Z, Qaseem A, Mathew JL, Lu Q, Fu Z, Zhao X, Zhao S, Estill J, Chan ESY, Liu L, Qian Y, Xu H, Wang Q, Fukuoka T, Luo X, Wong GWK, Lei J, Nurdiati D, Tu W, Zhang X, Zheng X, Ahn HS, Wang M, Dong X, Wu L, Lee MS, Li G, Yang S, Feng X, Zhao R, Lu X, He Z, Liu S, Li W, Zhou Q, Ren L, Chen Y, Li Q. Erratum to rapid advice guidelines for management of children with COVID-19. Ann Transl Med 2020; 8:807. [PMID: 32647730 PMCID: PMC7333161 DOI: 10.21037/atm-2020-24] [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] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Enmei Liu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Rosalind L Smyth
- UCL Great Ormond St Institute of Child Health, London, UK.,Great Ormond Street Hospital, London, UK
| | - Zhengxiu Luo
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Amir Qaseem
- Clinical Policy and Center for Evidence Reviews, American College of Physicians, Philadelphia, PA, USA
| | - Joseph L Mathew
- Advanced Pediatrics Centre, PGIMER Chandigarh, Chandigarh, India
| | - Quan Lu
- Shanghai Children's Hospital affiliated to Shanghai Jiaotong University, Shanghai 200240, China
| | - Zhou Fu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xiaodong Zhao
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | | | - Janne Estill
- Institute of Global Health, University of Geneva, Geneva, Switzerland.,Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland
| | - Edwin Shih-Yen Chan
- Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Medical School, Singapore.,Singapore Clinical Research Institute, Singapore
| | - Lei Liu
- National Clinical Research Center for Infectious Disease, Shenzhen 518020, China.,Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Yuan Qian
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Hongmei Xu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Qi Wang
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Canada.,McMaster Health Forum, McMaster University, Hamilton, Canada
| | - Toshio Fukuoka
- Emergency and Critical Care Center, the Department of General Medicine, Department of Research and Medical Education, Kurashiki Central Hospital, Okayama, Japan.,Advisory Committee in Cochrane Japan, Tokyo, Japan
| | - Xiaoping Luo
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gary Wing-Kin Wong
- Department of Pediatrics, The Chinese University of Hong Kong, Hong Kong, China
| | - Junqiang Lei
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Detty Nurdiati
- Clinical Epidemiology & Biostatistics Unit, Department of Obstetrics & Gynaecology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Wenwei Tu
- Department of Pediatrics & Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Xiaobo Zhang
- Children's Hospital of Fudan University, Shanghai 201102, China
| | - Xianlan Zheng
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Hyeong Sik Ahn
- Department of Preventive Medicine, Korea University, Seoul, Korea.,Korea Cochrane Centre, Seoul, Korea.,Evidence Based Medicine, Seoul, Korea.,Korea University School of Medicine, Seoul, Korea
| | - Mengshu Wang
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Xiaoyan Dong
- Shanghai Children's Hospital, Shanghai 200040, China
| | - Liqun Wu
- Shenzhen Health Development Research Center, Shenzhen 518028, China
| | - Myeong Soo Lee
- Korea Institute of Oriental Medicine, Daejeon, Korea.,University of Science and Technology, Daejeon, Korea.,London Southbank University, London, UK.,Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
| | - Guobao Li
- National Clinical Research Center for Infectious Disease, Shenzhen 518020, China.,Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Shu Yang
- College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.,Digital Institute of Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Xixi Feng
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Ruiqiu Zhao
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xiaoxia Lu
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430015, China
| | - Zhihui He
- Chongqing Ninth People's Hospital, Chongqing 400700, China
| | - Shihui Liu
- Beijing Jishuitan Hospital, Beijing 100035, China
| | - Weiguo Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Qi Zhou
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Luo Ren
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Yaolong Chen
- Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China.,WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou 730000, China.,GIN Asia, Lanzhou 730000, China.,Chinese GRADE Centre, Lanzhou 730000, China.,Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou 730000, China.,Key Laboratory of Evidence Based Medicine & Knowledge Translation of Gansu Province, Lanzhou 730000, China
| | - Qiu Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
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Xue J, Zhao R, Li J, Zhao L, Zhou B, Dong X, Han F. 0588 Ring Pulse Oximeter for Screening of Moderate to Severe OSA: A Pilot Study. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction
To evaluate the utility of the ring pulse oximeter for screening of OSA in adults.
Methods
87 adults were monitored by a ring pulse oximeter and PSG simultaneously during a nocturnal in-lab sleep testing. 3% oxygen desaturation index (ODI3); Mean oxygen saturation(MSpO2), Saturation impair time below 90% (SIT90) derived from an automated algorithm of the ring pulse oximeter. Meanwhile, the parameters of PSG were scored manually according to the AASM Manual. Correlation and receiver operator characteristic curve analysis were used to measure the accuracy of ring pulse oximeter and its diagnostic value for moderate to severe OSA (AHI≥15).
Results
Among the 87 participants, 18 cases were AHI<5, 17 cases were diagnosed with mild OSA (AHI:5-14.9), 25 cases were diagnosed with moderate OSA (AHI:15-29.9) and 27 cases were diagnosed with severe OSA (AHI≥30). There was no significant difference between PSG and ring pulse oximeter in regard to ODI3 (23.4±23.5 vs 24.7 ± 21.7), and SIT90 (1.54%, range 0.14%-8.99% vs. 3.20%, range 0.60%, 12.30%) (P>0.05], Further analysis indicated that two parameters from the oximeter correlated well with that derived from PSG (r=0.889, 0.567, respectively, both p<0.05). Although MSpO2 correlated significantly (r=0.448, P<0.05), the difference was remarkable [95.9%, range 94.0% to 97.0% vs. 94.5%, range 93.3% to 95.7%, p<0.05]. Bland-Altman plots showed that the agreement of these three parameters was within the clinical acceptance range. The ROC curve showed that the sensitivity and specificity of the ring pulse oximeter when the oximeter derived ODI3 ≥12.5 in the diagnosis of moderate to severe OSA were 82.7% and 74.3%, respectively.
Conclusion
The pilot study indicated that ring pulse oximeter can detect oxygen desaturation events accurately, therefore to be used as a screening tool for moderate to severe OSA.
Support
The study was supported by the National Natural Science Foundation of China (No. 81420108002 and NO. 81570083).
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Affiliation(s)
- J Xue
- Peking University Peoples’ Hospital, Beijing, CHINA
| | - R Zhao
- Peking University Peoples’ Hospital, Beijing, CHINA
| | - J Li
- Peking University Peoples’ Hospital, Beijing, CHINA
| | - L Zhao
- Peking University Peoples’ Hospital, Beijing, CHINA
| | - B Zhou
- Peking University Peoples’ Hospital, Beijing, CHINA
| | - X Dong
- Peking University Peoples’ Hospital, Beijing, CHINA
| | - F Han
- Peking University Peoples’ Hospital, Beijing, CHINA
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248
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Ding Q, Li J, Xiao F, Zhang C, Dong X, Han F. 0009 Anti-Streptococcal Antibodies in Chinese Patients with Type -1 Narcolepsy. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Narcolepsy type 1 (NT1) is considered to be an autoimmune disease, and streptococcal infection may be an environmental trigger. However, previous studies from Asian narcolepsy patients did not reveal elevated anti-streptolysin O [ASO]. The aim is to investigate whether large sample Chinese patients with NT1 have an increase in antistreptococcal antibody titers.
Methods
A total of 214 narcolepsy patients and 360 healthy controls were recruited. All patients were DQB1*0602 positive with clear-cut cataplexy or had low CSF hypocretin-1. Participants were tested for ASO and anti DNAse B [ADB]. These patients were divided into five groups according to disease duration, including 29 patients less than 3 months; 25 from 3 months to 1 year; 40 from 1 to 3 years; 61 from 3 to 10 years and 59 patients over 10 years. Comparison was also made between children and adults with age matched controls, respectively.
Results
There were no significant differences between patients and healthy controls in regard to both ASO ≥ 200 IU (19.2% vs. 16.9%, p = 0.50) and ADB≥480IU (9.8% vs. 10.3%, p = 0.86). For children narcolepsy patients, ASO positive rates(19.8% vs. 18%, p = 0.68) and ADB positive rates(10.4% vs. 12%, p = 0.72) had no differences compared to age matched controls. And no difference was observed in adult narcolepsy patients either, with ASO positive rates (18.5% vs. 13.8%, p = 0.39) and ADB positive rates (9.3% vs. 5.3%, p = 0.42) compared to age matched controls, respectively. ASO (ADB) positive rates had no significant differences among different disease duration groups(p= 0.55, 0.9).
Conclusion
It is indicated that positive rates of ASO and ADB were not significantly different between Chinese patients with NT1 and healthy controls, including recent onset cases and children.
Support
The study was supported by the National Natural Science Foundation of China (No. 81420108002 and NO. 81570083)
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Affiliation(s)
- Q Ding
- Peking University People’s hospital, Beijing, CHINA
| | - J Li
- Peking University People’s hospital, Beijing, CHINA
| | - F Xiao
- Peking University People’s hospital, Beijing, CHINA
| | - C Zhang
- Peking University People’s hospital, Beijing, CHINA
| | - X Dong
- Peking University People’s hospital, Beijing, CHINA
| | - F Han
- Peking University People’s hospital, Beijing, CHINA
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249
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Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Gibson A, Gopal K, Grosnick D, Guryn W, Hamad AI, Hamed A, Harris JW, He W, He X, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kisiel A, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shen F, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Zbroszczyk H, Zha W, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang ZJ, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. First Measurement of Λ_{c} Baryon Production in Au+Au Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2020; 124:172301. [PMID: 32412276 DOI: 10.1103/physrevlett.124.172301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 02/24/2020] [Accepted: 03/27/2020] [Indexed: 06/11/2023]
Abstract
We report on the first measurement of the charmed baryon Λ_{c}^{±} production at midrapidity (|y|<1) in Au+Au collisions at sqrt[s_{NN}]=200 GeV collected by the STAR experiment at the Relativistic Heavy Ion Collider. The Λ_{c}/D^{0} [denoting (Λ_{c}^{+}+Λ_{c}^{-})/(D^{0}+D[over ¯]^{0})] yield ratio is measured to be 1.08±0.16 (stat)±0.26 (sys) in the 0%-20% most central Au+Au collisions for the transverse momentum (p_{T}) range 3<p_{T}<6 GeV/c. This is significantly larger than the pythia model calculations for p+p collisions. The measured Λ_{c}/D^{0} ratio, as a function of p_{T} and collision centrality, is comparable to the baryon-to-meson ratios for light and strange hadrons in Au+Au collisions. Model calculations including coalescence hadronization for charmed baryon and meson formation reproduce the features of our measured Λ_{c}/D^{0} ratio.
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Affiliation(s)
- J Adam
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M U Ashraf
- Central China Normal University, Wuhan, Hubei 430079
| | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - V Bairathi
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Barish
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - J D Brandenburg
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Central China Normal University, Wuhan, Hubei 430079
| | - D Chen
- University of California, Riverside, California 92521
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - M Chevalier
- University of California, Riverside, California 92521
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - M Csanád
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Edmonds
- Purdue University, West Lafayette, Indiana 47907
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- State University of New York, Stony Brook, New York 11794
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Francisco
- Yale University, New Haven, Connecticut 06520
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- American University of Cairo, New Cairo 11835, Egypt
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - W He
- Fudan University, Shanghai, 200433
| | - X He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - S Heppelmann
- University of California, Davis, California 95616
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - E Hoffman
- University of Houston, Houston, Texas 77204
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - Y Hu
- Fudan University, Shanghai, 200433
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - X Huang
- Tsinghua University, Beijing 100084
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - A Jentsch
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Ji
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - M L Kabir
- University of California, Riverside, California 92521
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - M Kelsey
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y V Khyzhniak
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - B Kimelman
- University of California, Davis, California 95616
| | - D Kincses
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - T A Kinghorn
- University of California, Davis, California 95616
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - M Kocan
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - L K Kosarzewski
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | | | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - S Lan
- Central China Normal University, Wuhan, Hubei 430079
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - W Li
- Rice University, Houston, Texas 77251
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - R Licenik
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843
| | - Y Lin
- Central China Normal University, Wuhan, Hubei 430079
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - P Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Magdy
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - N G Minaev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | | | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - Z Moravcova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - D A Morozov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - M Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Nayak
- Central China Normal University, Wuhan, Hubei 430079
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- Central China Normal University, Wuhan, Hubei 430079
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Yale University, New Haven, Connecticut 06520
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - D Pawlowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - L Pinsky
- University of Houston, Houston, Texas 77204
| | - R L Pintér
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J L Romero
- University of California, Davis, California 95616
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - F Seck
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - F Shen
- Shandong University, Qingdao, Shandong 266237
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Stefaniak
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo, Brazil 05314-970
| | - M Sumbera
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - S K Tripathy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A N Vasiliev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - P Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- University of California, Riverside, California 92521
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Yang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | | | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Qingdao, Shandong 266237
| | - M Zurek
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Liu E, Smyth RL, Luo Z, Qaseem A, Mathew JL, Lu Q, Fu Z, Zhao X, Zhao S, Estill J, Chan ESY, Liu L, Qian Y, Xu H, Wang Q, Fukuoka T, Luo X, Wong GWK, Lei J, Nurdiati D, Tu W, Zhang X, Zheng X, Ahn HS, Wang M, Dong X, Wu L, Lee MS, Li G, Yang S, Feng X, Zhao R, Lu X, He Z, Liu S, Li W, Zhou Q, Ren L, Chen Y, Li Q. Rapid advice guidelines for management of children with COVID-19. Ann Transl Med 2020; 8:617. [PMID: 32566554 PMCID: PMC7290610 DOI: 10.21037/atm-20-3754] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Enmei Liu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Rosalind L Smyth
- UCL Great Ormond St Institute of Child Health, London, UK.,Great Ormond Street Hospital, London, UK
| | - Zhengxiu Luo
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Amir Qaseem
- Clinical Policy and Center for Evidence Reviews, American College of Physicians, Philadelphia, USA
| | - Joseph L Mathew
- Advanced Pediatrics Centre, PGIMER Chandigarh, Chandigarh, India
| | - Quan Lu
- Shanghai Children's Hospital affiliated to Shanghai Jiaotong University, Shanghai 200240, China
| | - Zhou Fu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xiaodong Zhao
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | | | - Janne Estill
- Institute of Global Health, University of Geneva, Geneva, Switzerland.,Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland
| | - Edwin Shih-Yen Chan
- Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Medical School, Singapore.,Singapore Clinical Research Institute, Singapore
| | - Lei Liu
- National Clinical Research Center for Infectious Disease, Shenzhen 518020, China.,Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Yuan Qian
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - Hongmei Xu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Qi Wang
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Canada.,McMaster Health Forum, McMaster University, Hamilton, Canada
| | - Toshio Fukuoka
- Emergency and Critical Care Center, the Department of General Medicine, Department of Research and Medical Education, Kurashiki Central Hospital, Okayama, Japan.,Advisory Committee in Cochrane Japan, Tokyo, Japan
| | - Xiaoping Luo
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gary Wing-Kin Wong
- Department of Pediatrics, The Chinese University of Hong Kong, Hong Kong, China
| | - Junqiang Lei
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Detty Nurdiati
- Clinical Epidemiology & Biostatistics Unit, Department of Obstetrics & Gynaecology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Wenwei Tu
- Department of Pediatrics & Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Xiaobo Zhang
- Children's Hospital of Fudan University, Shanghai 201102, China
| | - Xianlan Zheng
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Hyeong Sik Ahn
- Department of Preventive Medicine, Korea University, Seoul, Korea.,Korea Cochrane Centre, Seoul, Korea.,Evidence Based Medicine, Seoul, Korea.,Korea University School of Medicine, Seoul, Korea
| | - Mengshu Wang
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Xiaoyan Dong
- Shanghai Children's Hospital, Shanghai 200040, China
| | - Liqun Wu
- Shenzhen Health Development Research Center, Shenzhen 518028, China
| | - Myeong Soo Lee
- Korea Institute of Oriental Medicine, Daejeon, Korea.,University of Science and Technology, Daejeon, Korea.,London Southbank University, London, UK.,Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
| | - Guobao Li
- National Clinical Research Center for Infectious Disease, Shenzhen 518020, China.,Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Shu Yang
- College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.,Digital Institute of Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Xixi Feng
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Ruiqiu Zhao
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xiaoxia Lu
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430015, China
| | - Zhihui He
- Chongqing Ninth People's Hospital, Chongqing 400700, China
| | - Shihui Liu
- Beijing Jishuitan Hospital, Beijing 100035, China
| | - Weiguo Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Qi Zhou
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Luo Ren
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Yaolong Chen
- Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China.,WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou 730000, China.,GIN Asia, Lanzhou 730000, China.,Chinese GRADE Centre, Lanzhou 730000, China.,Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou 730000, China.,Key Laboratory of Evidence Based Medicine & Knowledge Translation of Gansu Province, Lanzhou 730000, China
| | - Qiu Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Children's Hospital of Chongqing Medical University, Chongqing 400014, China.,Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
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