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Shen J, Sun H, Zhou S, Wang L, Dong C, Ren K, Du Q, Cao J, Wang Y, Sun J. Development of a screening system of gene sets for estimating the time of early skeletal muscle injury based on second-generation sequencing technology. Int J Legal Med 2024:10.1007/s00414-024-03210-6. [PMID: 38532207 DOI: 10.1007/s00414-024-03210-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 03/13/2024] [Indexed: 03/28/2024]
Abstract
The present study is aimed to address the challenge of wound age estimation in forensic science by identifying reliable genetic markers using low-cost and high-precision second-generation sequencing technology. A total of 54 Sprague-Dawley rats were randomly assigned to a control group or injury groups, with injury groups being further divided into time points (4 h, 8 h, 12 h, 16 h, 20 h, 24 h, 28 h, and 32 h after injury, n = 6) to establish rat skeletal muscle contusion models. Gene expression data were obtained using second-generation sequencing technology, and differential gene expression analysis, weighted gene co-expression network analysis (WGCNA) and time-dependent expression trend analysis were performed. A total of six sets of biomarkers were obtained: differentially expressed genes at adjacent time points (127 genes), co-expressed genes most associated with wound age (213 genes), hub genes exhibiting time-dependent expression (264 genes), and sets of transcription factors (TF) corresponding to the above sets of genes (74, 87, and 99 genes, respectively). Then, random forest (RF), support vector machine (SVM) and multilayer perceptron (MLP), were constructed for wound age estimation from the above gene sets. The results estimated by transcription factors were all superior to the corresponding hub genes, with the transcription factor group of WGCNA performed the best, with average accuracy rates of 96% for three models' internal testing, and 91.7% for the highest external validation. This study demonstrates the advantages of the indicator screening system based on second-generation sequencing technology and transcription factor level for wound age estimation.
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Affiliation(s)
- Junyi Shen
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
- Institute of Forensic Science Public Security Department of Shanxi, Taiyuan, China
| | - Hao Sun
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Shidong Zhou
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Liangliang Wang
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Chaoxiu Dong
- Institute of Forensic Science Public Security Department of Shanxi, Taiyuan, China
| | - Kang Ren
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qiuxiang Du
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Jie Cao
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Yingyuan Wang
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China.
| | - Junhong Sun
- Department of Forensic Medicine, Shanxi Medical University, Jinzhong, China.
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Han J, Gao XZ, Xu Y, Liu EJ, Du Q, Chen K, Li SL. [Clinicopathological features of SMARCA4-deficient lung adenocarcinoma: a study of 42 cases]. Zhonghua Bing Li Xue Za Zhi 2024; 53:136-142. [PMID: 38281780 DOI: 10.3760/cma.j.cn112151-20230718-00011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
Objective: To investigate the clinicopathological characteristics and genetic mutations of SMARCA4-deficient lung adenocarcinoma. Methods: From January 2021 to April 2023 in the First Affiliated Hospital of Zhengzhou University, 42 cases of SMARCA4-deficienct lung adenocarcinoma were diagnosed and now analyzed. All cases were retrospectively studied using hematoxylin-eosin staining and immunohistochemistry. The clinicopathological features were reviewed. Next-generation sequencing (NGS) was performed to investigate the mutations of related genes. Results: Among the 42 cases, there were 35 biopsy and 7 surgical specimens. There were 38 males and 4 females. The male to female ratio was 9.5∶1.0, with an age range from 42 to 78 years. Thirty-three patients were smokers. Overall, 4 cases (9.5%), 2 cases (4.7%), 18 cases (42.9%) and 18 cases (42.9%) were at stages Ⅰ, Ⅱ, Ⅲ, and Ⅳ, respectively. Microscopically, all the cases were non-mucinous adenocarcinoma, without lepidic pattern. The morphology was diverse. Rhabdomyoid cells, tumor giant cells and tumor necrosis were present. Most of the tumor cells had eosinophilic cytoplasm and occasionally clear cytoplasm. Defined cell borders and variable cytoplasmic hyaline secretory globules could be found. Inflammatory cells infiltrated the tumor stroma. Immunohistochemistry showed 29 cases (69.0%, 29/42) expressed TTF1, 10 cases (40.0%, 10/25) expressed Napsin A, and 20 cases (100.0%, 20/20) expressed INI1. Forty cases (95.2%, 40/42) showed BRG1 loss in all tumor cells, while 2 cases (4.8%, 2/42) had partial BRG1 loss. PD-L1 (22C3) was positive in 59.2% of the cases (16/27). NGS revealed mutations in EGFR, ROS1, MET, RET and KRAS. Six cases (6/8) showed SMARCA4 mutation, while some cases were accompanied by mutations of TP53 (7/15), STK11 (4/8), and KEAP1 (1/8). Driver gene mutations were more common in women (P<0.05). Patients were followed up for 1-25 months. Four patients died and 20 patients' diseases progressed. Conclusions: SMARCA4-deficient lung adenocarcinoma lacks characteristic morphology. Most of them express TTF1 and harbor driver gene mutations. It is necessary to identify this subset of lung adenocarcinoma by carrying out BRG1 stain routinely on lung adenocarcinoma. These patients can then be identified and benefit from targeted therapies.
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Affiliation(s)
- J Han
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Z Gao
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Xu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - E J Liu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Q Du
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - K Chen
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Li Y, Li Y, Du H, Lin YX, Du Q, Chen HB, Lu XX. [Analysis of clinical epidemiological characteristics of respiratory syncytial virus in children in a hospital of pediatric in Hubei Province from 2020 to 2023]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:213-218. [PMID: 38387953 DOI: 10.3760/cma.j.cn112150-20230810-00076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Objective: To explore the clinical epidemiological characteristics of respiratory syncytial virus in children in Hubei Province from 2020 to 2023. Method: A single-center and cross-sectional study was used to analyze the clinical data of 3 271 children with respiratory syncytial virus infection in Wuhan Children's Hospital affiliated to Huazhong University of Science and Technology from July 1, 2020 to June 30, 2023. Nonparametric rank sum test and χ2 test were used for comparative analysis. Results: From July 1, 2020 to June 30, 2023, a total of 25 583 children were included in the analysis, of which 3 271(12.8%) children infected RSV. The detection rate was 16.3% in 2020-2021, 14.7% in 2021-2022 and 9.1% in 2022-2023. The detection rate decreased year by year (χ2=222.054, P<0.05). From 2020 to 2023, there was an anti-seasonal epidemic of RSV in spring and autumn. The detection rate of RSV in infants under 1 year old was the highest, but the median ages of RSV positive children increased (H=140.575, P<0.05). Pneumonia was the main clinical manifestation of RSV respiratory tract infection. Conclusion: The epidemiological characteristics of RSV in children in Hubei Province were different from those before. From 2020 to 2023, the detection rate of RSV decreased year by year. Besides winter, the prevalence of RSV could also be seen in spring and autumn. The median age of children infected with RSV increased after the epidemic. Pneumonia was the main clinical manifestation after RSV infection.
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Affiliation(s)
- Y Li
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - Y Li
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - H Du
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - Y X Lin
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - Q Du
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - H B Chen
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - X X Lu
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
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Du Q, Cui T, Niu G, Qui J, Yang B. Improving Bond Strength of Translucent Zirconia Through Surface Treatment With SiO2-ZrO2 Coatings. Oper Dent 2023; 48:666-676. [PMID: 37961015 DOI: 10.2341/22-121-l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Translucent monolithic zirconia ceramics have been applied in dental clinics due to their esthetic translucent formulations and mechanical properties. Considering inherent ceramic brittleness, adhesive bonding with resin composite increases the fracture resistance of ceramic restorations. However, zirconia is a chemically stable material that is difficult to adhesively bond with resin. OBJECTIVES To investigate the influences of SiO2-ZrO2 coatings on adhesive bonding of zirconia and the surface characterization of those coatings. METHODS AND MATERIALS Translucent zirconia discs were classified into groups based on surface treatments: CT (control), SB (sandblasting), C21(SiO2:ZrO2=2:1), C11(SiO2:ZrO2=1:1), and C12 (SiO2:ZrO2=1:2) (n=10). Surface characterization of coatings on zirconia were analyzed by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), surface roughness assessment (Ra), X-ray diffraction (XRD), water contact angle (WCA), translucency parameter (TP), and shear bond strength (SBS). Two-way ANOVA for shear bond strength results and ANOVA for Ra and WCA were performed. RESULTS SEM images revealed SiO2 islands on zirconia disks coated with SiO2-ZrO2. Surface roughness of C12, C11, and C21 groups was significantly larger than those of groups SB and CT (p<0.05). XRD results showed that phase transformation of zirconia disks was detected only in the SB group. In addition, SiO2-ZrO2 coatings reduced WCA. The translucency decreased only in group C21. Group C11 showed the highest shear bond strength under both aging conditions. CONCLUSION SiO2-ZrO2 coating is a promising method to enhance the adhesive resin bonding of translucent zirconia without causing phase transformation of translucent zirconia.
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Affiliation(s)
- Q Du
- †Qiao Du, DDS, Department of Stomatology, Beijing Integrated Traditional Chinese and Western Medicine Hospital, Beijing, China
| | - T Cui
- †Tiehan Cui, DDS, Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - G Niu
- *Guangliang Niu, DDS, Department of Stomatology,Beijing Integrated Traditional Chinese and Western Medicine Hospital, Beijing, China
| | - J Qui
- *Jiaxuan Qui, DDS, Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - B Yang
- *Bin Yang, DDS, Restorative Department, College of Dentistry, University of Illinois at Chicago, IL, USA
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Smitherman EA, Chahine RA, Beukelman T, Lewandowski LB, Rahman AKMF, Wenderfer SE, Curtis JR, Hersh AO, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar‐Smiley F, Barillas‐Arias L, Basiaga M, Baszis K, Becker M, Bell‐Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang‐Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel‐Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie‐Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui‐Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein‐Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PM, McGuire S, McHale I, McMonagle A, McMullen‐Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O'Brien B, O'Brien T, Okeke O, Oliver M, Olson J, O'Neil K, Onel K, Orandi A, Orlando M, Osei‐Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan‐Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas‐Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth‐Wojcicki E, Rouster – Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert‐Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner‐Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care. Arthritis Care Res (Hoboken) 2023; 75:1553-1562. [PMID: 36775844 PMCID: PMC10500561 DOI: 10.1002/acr.25002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 07/14/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis. METHODS We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded. RESULTS We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers. CONCLUSION In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.
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Cao J, An G, Li J, Wang L, Ren K, Du Q, Yun K, Wang Y, Sun J. Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy. Forensic Sci Res 2023; 8:50-61. [PMID: 37415796 PMCID: PMC10265958 DOI: 10.1093/fsr/owad007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 02/10/2023] [Indexed: 07/08/2023] Open
Abstract
Wound age estimation is one of the most challenging and indispensable issues for forensic pathologists. Although many methods based on physical findings and biochemical tests can be used to estimate wound age, an objective and reliable method for inferring the time interval after injury remains difficult. In the present study, endogenous metabolites of contused skeletal muscle were investigated to estimate the time interval after injury. Animal model of skeletal muscle injury was established using Sprague-Dawley rat, and the contused muscles were sampled at 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, and 48 h postcontusion (n = 9). Then, the samples were analysed using ultraperformance liquid chromatography coupled with high-resolution mass spectrometry. A total of 43 differential metabolites in contused muscle were determined by metabolomics method. They were applied to construct a two-level tandem prediction model for wound age estimation based on multilayer perceptron algorithm. As a result, all muscle samples were eventually divided into the following subgroups: 4, 8, 12, 16-20, 24-32, 36-40, and 44-48 h. The tandem model exhibited a robust performance and achieved a prediction accuracy of 92.6%, which was much higher than that of the single model. In summary, the multilayer perceptron-multilayer perceptron tandem machine-learning model based on metabolomics data can be used as a novel strategy for wound age estimation in future forensic casework. Key Points The changes of metabolite profile were correlated with the time interval after injury in contused skeletal muscle.A panel of 43 endogenous metabolites screened by ultraperformance liquid chromatography coupled with high-resolution mass spectrometry could distinguish the wound ages.The multilayer perceptron (MLP) algorithm exhibited a robust performance in wound age estimation using metabolites.The combination of matabolomics and MLP-MLP tandem model could improve the accuracy of inferring the time interval after injury.
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Affiliation(s)
| | | | - Jian Li
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Liangliang Wang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Kang Ren
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qiuxiang Du
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Keming Yun
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Yingyuan Wang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
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Du Q, Dong T, Liu Y, Zhu X, Li N, Dang L, Cao J, Jin Q, Sun J. Screening criteria of mRNA indicators for wound age estimation. Forensic Sci Res 2023; 7:714-725. [PMID: 36817234 PMCID: PMC9930757 DOI: 10.1080/20961790.2021.1986770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
Wound age estimation is a crucial and challenging problem in forensic pathology. Although mRNA is the most commonly used indicator for wound age estimation, screening criteria are lacking. In the present study, the feasibility of screening criteria using mRNA to determine injury time based on the adenylate-uridylate-rich element (ARE) structure and gene ontology (GO) categories were evaluated. A total of 78 Sprague-Dawley male rats were contused and sampled at 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, and 48 h after inflicting injury. The candidate mRNAs were classified based on with or without ARE structure and GO category function. The mRNA expression levels were detected using qRT-PCR. In addition, the standard deviation (STD), mean deviation (MD), relative average deviation (d%), and coefficient of variation (CV) were calculated based on mRNA expression levels. The CV score (CVs) and the CV of CV (CV'CV) were calculated to measure heterogeneity. Finally, based on classic principles, the accuracy of combination of candidate mRNAs was assessed using discriminant analysis to construct a multivariate model for inferring wound age. The results of homogeneity evaluation of each group based on CVs were consistent with the MD, STD, d%, and CV results, indicating the credibility of the evaluation results based on CVs. The candidate mRNAs without ARE structure and classified as cellular component (CC) GO category (ARE-CC) had the highest CVs, showing the mRNAs with these characteristics are the most homogenous mRNAs and best suited for wound age estimation. The highest accuracy was 91.0% when the mRNAs without ARE structure were used to infer the wound age based on the discrimination model. The accuracy of mRNAs classified into CC or multiple function (MF) GO category was higher than mRNAs in the biological process (BP) category. In all subgroups, the accuracy of the composite identification model of mRNA composition without ARE structure and classified as CC was higher than other subgroups. The mRNAs without ARE structure and belonging to the CC GO category were more homogenous, showed higher accuracy for estimating wound age, and were appropriate for rat skeletal muscle wound age estimation. Supplemental data for this article is available online at https://doi.org/10.1080/20961790.2021.1986770 .
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Affiliation(s)
- Qiuxiang Du
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Tana Dong
- Shandong Public Security Department, The Institute of Criminal Science and Technology, Jinan, China
| | - Yuanxin Liu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Xiyan Zhu
- Department of Military Traffic Medicine, Army Characteristic Medical Center, Chongqing, China
| | - Na Li
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Lihong Dang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Jie Cao
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qianqian Jin
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Junhong Sun
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China,CONTACT Junhong Sun
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Han J, Gao XZ, Xu Y, Du Q, Li SL. [Cardiac metastasis of ependymoma: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:181-183. [PMID: 36748144 DOI: 10.3760/cma.j.cn112151-20220527-00463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- J Han
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Z Gao
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Xu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Q Du
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Hahn T, Daymont C, Beukelman T, Groh B, Hays K, Bingham CA, Scalzi L, Abel N, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar-Smiley F, Barillas-Arias L, Basiaga M, Baszis K, Becker M, Bell-Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang-Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel-Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie-Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui-Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein-Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PMC, McGuire S, McHale I, McMonagle A, McMullen-Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O’Brien B, O’Brien T, Okeke O, Oliver M, Olson J, O’Neil K, Onel K, Orandi A, Orlando M, Osei-Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan-Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas-Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth-Wojcicki E, Rouster-Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert-Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner-Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Intraarticular steroids as DMARD-sparing agents for juvenile idiopathic arthritis flares: Analysis of the Childhood Arthritis and Rheumatology Research Alliance Registry. Pediatr Rheumatol Online J 2022; 20:107. [PMID: 36434731 PMCID: PMC9701017 DOI: 10.1186/s12969-022-00770-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/08/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Children with juvenile idiopathic arthritis (JIA) who achieve a drug free remission often experience a flare of their disease requiring either intraarticular steroids (IAS) or systemic treatment with disease modifying anti-rheumatic drugs (DMARDs). IAS offer an opportunity to recapture disease control and avoid exposure to side effects from systemic immunosuppression. We examined a cohort of patients treated with IAS after drug free remission and report the probability of restarting systemic treatment within 12 months. METHODS We analyzed a cohort of patients from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry who received IAS for a flare after a period of drug free remission. Historical factors and clinical characteristics and of the patients including data obtained at the time of treatment were analyzed. RESULTS We identified 46 patients who met the inclusion criteria. Of those with follow up data available 49% had restarted systemic treatment 6 months after IAS injection and 70% had restarted systemic treatment at 12 months. The proportion of patients with prior use of a biologic DMARD was the only factor that differed between patients who restarted systemic treatment those who did not, both at 6 months (79% vs 35%, p < 0.01) and 12 months (81% vs 33%, p < 0.05). CONCLUSION While IAS are an option for all patients who flare after drug free remission, it may not prevent the need to restart systemic treatment. Prior use of a biologic DMARD may predict lack of success for IAS. Those who previously received methotrexate only, on the other hand, are excellent candidates for IAS.
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Affiliation(s)
- Timothy Hahn
- Department of Pediatrics, Penn State Children's Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA, 17033-0855, USA.
| | - Carrie Daymont
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | - Timothy Beukelman
- grid.265892.20000000106344187Department of Pediatrics, University of Alabama at Birmingham, CPPN G10, 1600 7th Ave South, Birmingham, AL 35233 USA
| | - Brandt Groh
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | | | - Catherine April Bingham
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | - Lisabeth Scalzi
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
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Du Q, Niu GL. [Effect of SiO 2-ZrO 2 slurry coating on shear bond strength of zirconia to resin cement]. Zhonghua Kou Qiang Yi Xue Za Zhi 2022; 57:932-937. [PMID: 36097940 DOI: 10.3760/cma.j.cn112144-20220222-00069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the effect of shear bond strength between resin cement and zirconia using SiO2-ZrO2 slurry coating. Methods: One hundred and forty pre-sintered zirconia discs were randomly divided into seven groups (n=20) according to the surface treatments: AS (as-sintered), SB (sand blasting with Al2O3), 2SiO2-1ZrO2 (2∶1 mole ratio SiO2-ZrO2 coating), 1SiO2-1ZrO2 (mole ratio 1∶1 SiO2-ZrO2 coating), 1SiO2-2ZrO2 (mole ratio 1∶2 SiO2-ZrO2 coating), 1SiO2-3ZrO2 (mole ratio 1∶3 SiO2-ZrO2 coating), 1SiO2-4ZrO2 (mole ratio 1∶4 SiO2-ZrO2 coating). Each zirconia disc was bonded to composite resin cylinder using resin cement. All specimens were stored in distilled water (37 ℃, 24 h). Each group was divided into two subgroups in which half specimens were tested using universal testing machine and another half specimens accepted artificial aging of 5 000 times thermocycling then tested. Scaning electron microscopy (SEM) was used to observe the micro-morphology of coating surface etched by hydrofluoric acid,then the coating thickness was measured. Results: Before artificial aging, 1SiO2-1ZrO2 showed a higher shear bond strength [(41.69±6.28) MPa] than all the other group (P<0.05). 1SiO2-2ZrO2 gained a higher strength than AS, SB, 1SiO2-3ZrO2 and 1SiO2-4ZrO2 (P<0.05). However, 1SiO2-2ZrO2 did not get a significant higher shear bond strength than 2SiO2-1ZrO2 (P>0.05). No significant differences were found among SB, 2SiO2-1ZrO2 and 1SiO2-3ZrO2 (P>0.05). After artificial aging, shear bond strength of all groups were decreased significantly besides 2SiO2-1ZrO2. 2SiO2-1ZrO2, 1SiO2-1ZrO2 and 1SiO2-2ZrO2 [(24.13±5.50), (22.28±4.40), (23.11±4.80) MPa] showed higher shear bond strength than SB and 1SiO2-3ZrO2 (P<0.05),no intergroup differences were observed (P>0.05). Shear bond strength of AS and 1SiO2-4ZrO2 fell to 0 MPa approximately. The SEM images of etched coating surface showed contraction fissure due to different thermal expansion coefficient between SiO2 and ZrO2 and intercrystal pores of zirconia. The thickness of coating was measured to be less than 30 μm. Conclusions: Mole ratio 1∶1 SiO2-1ZrO2 slurry coating showed the highest shear bond strength of resin cement to zirconia.
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Affiliation(s)
- Q Du
- Department of Stomatology,Beijing Hospital of Integrated Traditional Chinese and Western Medicine, Beijing 100039, China
| | - G L Niu
- Department of Stomatology,Beijing Hospital of Integrated Traditional Chinese and Western Medicine, Beijing 100039, China
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Mao X, Zhao Y, Jiang J, Du Q, Tu B, Li J, Wang F. Sensitive and high-accuracy detection of Salmonella based on CRISPR/Cas12a combined with recombinase polymerase amplification. Lett Appl Microbiol 2022; 75:899-907. [PMID: 35694840 DOI: 10.1111/lam.13765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022]
Abstract
Salmonella is a crucial food-borne pathogen causing food poisoning, leading to severe public health events. Here, we developed a technique by integrating recombinase polymerase amplification with CRISPR-LbCas12a and employing two targets with engineered crRNA for detection of Salmonella (RPA-LbCas12a-TTECDS). Our findings revealed that this novel method rapidly detects trace Salmonella in food through fluorescence intensity and provides a template for other food-borne pathogen detection methods. Further, crRNA was optimized to increase detection sensitivity. Double targets were used to enhance the detection accuracy, reaching the level of qPCR, which was superior to fluorescent RPA. The RPA-LbCas12a-TTECDS system specifically detected Salmonella levels as low as 50 CFU per ml at 37°C in 1 h. In summary, a simple, rapid, sensitive and high accuracy detection technique based on CRISPR-Cas12a was created for Salmonella detection without complicated equipment.
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Affiliation(s)
- X Mao
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - Y Zhao
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - J Jiang
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - Q Du
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - B Tu
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - J Li
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - F Wang
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
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Ren K, Wang L, Wang Y, An G, Du Q, Cao J, Jin Q, Yun K, Guo Z, Wang Y, Liang Q, Sun J. Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning. Forensic Sci Int Genet 2022; 59:102722. [DOI: 10.1016/j.fsigen.2022.102722] [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] [Received: 11/19/2021] [Revised: 04/30/2022] [Accepted: 05/10/2022] [Indexed: 11/04/2022]
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Du Q, Xu Y, Gao XZ, Han J, Li SL. [Uterine adenosarcoma with cardiac metastasis: report of a case]. Zhonghua Bing Li Xue Za Zhi 2022; 51:262-264. [PMID: 35249299 DOI: 10.3760/cma.j.cn112151-20210827-00609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Q Du
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Xu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Z Gao
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Han
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Gao XZ, Han J, Wang GN, Zhao WG, Du Q, Li SL, Li WC. [Clinicopathological analysis of 23 cases of classic Hodgkin's lymphoma of the lung]. Zhonghua Bing Li Xue Za Zhi 2022; 51:227-229. [PMID: 35249287 DOI: 10.3760/cma.j.cn112151-20210711-00498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- X Z Gao
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Han
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - G N Wang
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W G Zhao
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Q Du
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W C Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Soulsby WD, Balmuri N, Cooley V, Gerber LM, Lawson E, Goodman S, Onel K, Mehta B, Abel N, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar-Smiley F, Barillas-Arias L, Basiaga M, Baszis K, Becker M, Bell-Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang-Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel-Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie-Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui-Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein-Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PMC, McGuire S, McHale I, McMonagle A, McMullen-Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O’Brien B, O’Brien T, Okeke O, Oliver M, Olson J, O’Neil K, Onel K, Orandi A, Orlando M, Osei-Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan-Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas-Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth-Wojcicki E, Rouster-Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert-Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner-Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis. Pediatr Rheumatol Online J 2022; 20:18. [PMID: 35255941 PMCID: PMC8903717 DOI: 10.1186/s12969-022-00676-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/07/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry. METHODS In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months. RESULTS One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability. CONCLUSION High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.
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Affiliation(s)
- William Daniel Soulsby
- University of California, San Francisco, 550 16th Street, 4th Floor, Box #0632, San Francisco, CA, 94158, USA.
| | - Nayimisha Balmuri
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Victoria Cooley
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Linda M. Gerber
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Erica Lawson
- grid.266102.10000 0001 2297 6811University of California, San Francisco, 550 16th Street, 4th Floor, Box #0632, San Francisco, CA 94158 USA
| | - Susan Goodman
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Karen Onel
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Bella Mehta
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
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Hu CF, Li LL, Li LY, Du Q, Zhang Y, Wang KP, Song Y. [Clinicopathological features and prognostic impact of MELF pattern in 512 endometrioid adenocarcinoma]. Zhonghua Zhong Liu Za Zhi 2021; 43:968-972. [PMID: 34530581 DOI: 10.3760/cma.j.cn112152-20210304-00196] [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 relationship of microcystic elongated fragmented (MELF) and clinicopathological features of patients with low grade endometrial endometrioid carcinoma, and to analyze its impact on prognosis. Methods: The clinical pathological data of 512 cases with low grade endometrial endometrioid adenocarcinoma were collected. The MELF invasive pattern in all of the sections were reappraised. The correlations between MELF pattern and clinicopathological features were analyzed by chi-square test, and the independent risk factor of lymph node metastasis were evaluated by Logistic multivariate regression analysis. Survival curves was drawn by Kaplan-Meier method, and Log-rank test was used to compare progression free survival (PFS) between patients with or without MELF pattern. Disease progression-related multivariate analysis was carried out by Cox proportional hazards model. Results: MELF pattern was observed in 12.9% (66/512) low grade endometrioid adenocarcinoma. It was significantly associated with cervical stroma invasion, more than half of the depth of myometrial invasion, lymph node metastasis and vessel invasion (P<0.05). In addition, MELF pattern was an independent risk factor for lymph node metastasis (P<0.05). The 5-year PFS of patients with and without MELF pattern were 95.0% and 96.0% respectively (P>0.05). Conclusions: The patients with MELF pattern are more likely accompany with cervical stroma and deeper myometrium invasion, vessel invasion, and lymph node metastasis, and it is an independent risk factor of lymph node metastasis. However, MELF pattern has no significant impact on prognosis of patients with endometrioid carcinoma.
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Affiliation(s)
- C F Hu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L L Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Y Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Q Du
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K P Wang
- Medical Record Room, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Song
- Department of Pathology, 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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Ma PP, Meng LN, Wang MT, Jin HF, Fan YH, Zha AS, Huo XH, Chen DF, Cao ZQ, Tang XF, Yang P, Shi ZH, Li TW, Meng J, Gan C, Chen GX, Sha WH, Du Q, Li Y, Lyu B. [A multicenter randomized controlled study of bismuth-containing quadruple therapy followed by Jing-Hua-Wei-Kang in the treatment of patients newly diagnosed with Helicobacter pylori infection and dyspepsia]. Zhonghua Yi Xue Za Zhi 2021; 101:2060-2065. [PMID: 34275239 DOI: 10.3760/cma.j.cn112137-20210305-00563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the Helicobacter pylori (H. pylori) eradication rate and improvement of dyspepsia in patients who were newly diagnosed with H. pylori infection and dyspepsia and treated by bismuth-containing quadruple therapy followed by Jing-Hua-Wei-Kang(JHWK). Methods: Patients who were newly diagnosed with dyspepsia and H. pylori infection and treated in 16 medical centers in China between December 1, 2017 and September 30, 2019 were randomly divided into two groups. The experimental group received bismuth-containing quadruple therapy (esomeprazole+amoxicillin+furazolidone+colloidal bismuth pectin capsule, 14 days), followed by JHWK (30 days), and the course of treatment was 44 days in total. In the control group, the administration regimen was bismuth-containing quadruple therapy (esomeprazole+amoxicillin+furazolidone+colloidal bismuth pectin capsule, 14 days). The main outcome measure was H. pylori eradication rate, while the secondary outcome measures were dyspepsia symptom changes and adverse events during the treatment and the 1st month after treatment. Results: A total of 1 054 patients were included in the study. There were 522 cases enrolled in the experimental group, including 224(42.91%) men and 298(57.09%) women, and the age was 53(26, 73) years old; 532 cases enrolled in the control group, including 221(41.54%) men and 311(58.46%) women, and the age was 46(22, 71) years old. Based on PP analysis, it was found that the H. pylori eradication rate in the experimental group was significantly higher than those in the control group (93.85% vs 87.88%, P=0.001). In the group of all enrolled patients, the symptom dyspepsia after H. pylori eradication was significantly improved compared with that before treatment [4(4, 7) vs 15(10, 22), P<0.001], so was the superior and middle abdominal pain [1(1, 4) vs 4(1, 8), P<0.001], the postprandial fullness [1(1, 4) vs 4(4, 9), P<0.001], the early satiety [1(1, 1) vs 4(1, 4), P<0.001], and the heartburn [1(1, 1) vs 1(1, 4), P<0.001]. The symptom dyspepsia after treatment was significantly improved compared with that before treatment in the experimental, the control groups, the successful and the unsuccessful H. pylori eradication groups. The superior and middle abdominal pain after treatment was signifcantly improved than that before treatment [1(1, 2) vs 1(1, 4), P<0.001], so were the postprandial fullness [1(1, 3) vs 1(1, 4), P=0.002] and the dyspepsia[4(4, 7) VS 7(4, 10), P<0.001]. There was no statistically significant difference in the incidence of adverse events between the experimental group and the control group (1.34% vs 0.38%, P=0.09). Conclusions: Compared with bismuth-containing quadruple therapy, bismuth-containing quadruple therapy followed by JHWK significantly improves the H. pylori eradication rate without increasing the incidence of adverse events. H. pylori eradication therapy can improve symptoms of patients with H. pylori infection and dyspepsia.
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Affiliation(s)
- P P Ma
- Department of Gastroenterology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Key Laboratory for Pathophysiological Research on Digestive System Diseases of Zhejiang Province, Hangzhou 310060, China
| | - L N Meng
- Department of Gastroenterology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Key Laboratory for Pathophysiological Research on Digestive System Diseases of Zhejiang Province, Hangzhou 310060, China
| | - M T Wang
- Department of Gastroenterology, Jilin People's Hospital, Jilin 132012, China
| | - H F Jin
- Department of Gastroenterology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Key Laboratory for Pathophysiological Research on Digestive System Diseases of Zhejiang Province, Hangzhou 310060, China
| | - Y H Fan
- Department of Gastroenterology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Key Laboratory for Pathophysiological Research on Digestive System Diseases of Zhejiang Province, Hangzhou 310060, China
| | - A S Zha
- Department of Gastroenterology, the First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - X H Huo
- Department of Gastroenterology, the First Hospital of Hebei Medical University, Shijiazhuang 050023, China
| | - D F Chen
- Department of Gastroenterology, the Chinese People's Liberation Army Medical Center, Chongqing 400042, China
| | - Z Q Cao
- Department of Gastroenterology, the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, China
| | - X F Tang
- Department of Gastroenterology, Heilongjiang Provincial Hospital, Harbin 150030, China
| | - P Yang
- Department of Gastroenterology, Xiangyin People's Hospital, Xiangyin 410500, China
| | - Z H Shi
- Department of Gastroenterology, Wuhan No.1 Hospital, Wuhan 430033, China
| | - T W Li
- Department of Gastroenterology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430006, China
| | - J Meng
- Department of Gastroenterology, the Affiliated Hospital of Hebei University, Baoding 071030, China
| | - C Gan
- the First Department of Gastroenterology, the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang 330006, China
| | - G X Chen
- Department of Gastroenterology, Xuzhou No.1 People's Hospital, Xuzhou 221002, China
| | - W H Sha
- Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangzhou 510080, China
| | - Q Du
- Department of Gastroenterology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y Li
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - B Lyu
- Department of Gastroenterology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Key Laboratory for Pathophysiological Research on Digestive System Diseases of Zhejiang Province, Hangzhou 310060, China
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Ren K, Wang L, Wang L, Du Q, Cao J, Jin Q, An G, Li N, Dang L, Tian Y, Wang Y, Sun J. Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats. Front Genet 2021; 12:650874. [PMID: 34220936 PMCID: PMC8248501 DOI: 10.3389/fgene.2021.650874] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/07/2021] [Indexed: 12/21/2022] Open
Abstract
Following skeletal muscle injury (SMI), from post-injury reaction to repair consists of a complex series of dynamic changes. However, there is a paucity of research on detailed transcriptional dynamics and time-dependent marker gene expression in the early stages after SMI. In this study, skeletal muscle tissue in rats was taken at 4 to 48 h after injury for next-generation sequencing. We examined the transcriptional kinetics characteristics during above time periods after injury. STEM and maSigPro were used to screen time-correlated genes. Integrating 188 time-correlated genes with 161 genes in each time-related gene module by WGCNA, we finally identified 18 network-node regulatory genes after SMI. Histological staining analyses confirmed the mechanisms underlying changes in the tissue damage to repair process. Our research linked a variety of dynamic biological processes with specific time periods and provided insight into the characteristics of transcriptional dynamics, as well as screened time-related biological indicators with biological significance in the early stages after SMI.
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Affiliation(s)
- Kang Ren
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China.,Department of Basic Medicine, Changzhi Medical College, Changzhi, China
| | - Liangliang Wang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Liang Wang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qiuxiang Du
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Jie Cao
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qianqian Jin
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Guoshuai An
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Na Li
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Lihong Dang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Yingjie Tian
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Yingyuan Wang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Junhong Sun
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
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Li Z, Du Q, Ma PQ, Zhang HF, Zhang HT. [Clinicopathological characteristics of hepatic epithelioid haemangioendothelioma]. Zhonghua Bing Li Xue Za Zhi 2021; 50:511-513. [PMID: 33915661 DOI: 10.3760/cma.j.cn112151-20200910-00704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Z Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Q Du
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Q Ma
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H F Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H T Zhang
- Department of Pathology, 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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20
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Wan PQ, Zhang JH, Du Q, Dong K, Luo J, Heres C, Geller DA. Analysis of the relationship between microRNA-31 and interferon regulatory factor-1 in hepatocellular carcinoma cells. Eur Rev Med Pharmacol Sci 2021; 24:647-654. [PMID: 32016965 DOI: 10.26355/eurrev_202001_20041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE MicroRNAs (miRNAs) play a role in the pathogenesis of hepatocellular carcinoma (HCC). This study was designed to elucidate the role of microRNA-31 (miR-31) in HCC. MATERIALS AND METHODS HuH7 cell lines were transfected with miR-31 mimic or miR-31 inhibitor to investigate the role of miR-31 in regulating interferon regulatory factor-1 (IRF-1). The mRNA and protein expression levels of IRF-1 were quantitatively detected by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) and Western blot, respectively. Subsequently, Dual-Luciferase reporter assay was also performed. RESULTS The expression level of miR-31 was significantly up-regulated in HuH7 cells when compared with that in primary human hepatocytes (hHC). Dual-Luciferase reporter assay indicated that IRF-1 was the direct target of miR-31. The expression levels of IRF-1 were decreased in HuH7 and HepG2 cell lines. IRF-1 was negatively correlated with miR-31 in HCC tissues and paired adjacent tissues. The expression level of miR-31 was inversely correlated with IRF-1. MiR-31 inhibitor up-regulated the expression levels of IRF-1 in HuH7 cells, whereas miR-31 mimic down-regulated the expression levels of IRF-1. Furthermore, the miR-31 mimic repressed IRF-1-3'UTR reporter activity, whereas the miR-31 inhibitor enhanced IRF-1-3'UTR reporter activity depending on the concentration of miR-31 mimic and miR-31 inhibitor. CONCLUSIONS These results indicated that miR-31 can regulate the expression level of IRF-1 in HCC, which probably provided novel theoretical evidence for the application of target miR-31 treatment of HCC.
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Affiliation(s)
- P-Q Wan
- Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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21
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Wang YQ, Xu ZM, Wang XL, Zheng JK, Du Q, Yang JX, Zhang HC. LncRNA FOXC2-AS1 regulated proliferation and apoptosis of vascular smooth muscle cell through targeting miR-1253/FOXF1 axis in atherosclerosis. Eur Rev Med Pharmacol Sci 2021; 24:3302-3314. [PMID: 32271448 DOI: 10.26355/eurrev_202003_20698] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Atherosclerosis (AS) is the most dangerous factor for human death, which is responsible for coronary heart disease. Growing evidence has showed that long non-coding RNAs (lncRNAs) are involved in the development of AS. In this study, we mainly aimed at investigating the roles of FOXC2-AS1 in AS patients. PATIENTS AND METHODS RT-PCR was performed to detect the expressions of FOXC2-AS1 and miR-1253 in serum samples of AS patients (n=35) and healthy volunteer (n=35). The correlation between FOXC2-AS1 and miR-1253 was further analyzed. Human vascular smooth muscle cells (VSMCs) were respectively treated with ox-LDL, IL-6, CRP, TNF-α and IL-8 to explore the affecting factors. P-FOXC2-AS1 was constructed and transfected into VSMCs. Cell proliferation abilities were measured by CCK-8 assay. Cell apoptotic rates were measured by flow cytometry (FACS) analysis. Western blot (WB) was performed to detect protein levels of FOXF1, Bcl-2, Bax and Cleaved Caspase3. Finally, luciferase gene reporter assay was performed to prove the relationships between FOXC2-AS1 and miR-1253, miR-1253 and FOXF1. RESULTS We found that FOXC2-AS1 was significantly upregulated in AS patients, which could be induced by ox-LDL and IL-6 in VSMCs. MiR-1253 was decreased in AS patients, which was negatively correlated with FOXC2-AS1. Furthermore, FOXC2-AS1 overexpression promoted proliferation and inhibited apoptosis in VSMCs. Luciferase gene reporter assay showed that FOXC2-AS1 could bind to miR-1253 in VSMCs and 293 cells. Moreover, miR-1253 overexpression inhibited proliferation and promoted apoptosis of VSMCs. Luciferase reporter assay proved that miR-1253 could target at FOXF1 in VSMCs and 293 cells, which was reported to be associated with cell proliferation and apoptosis in some cancers. Additionally, miR-1253 mimic or GSK343, a FOXF1 inhibitor, was respectively transfected into VSMCs with p-FOXC2-AS1. Results showed that the promoted cell proliferation and inhibited cell apoptosis were reversed as well, confirming that FOXC2-AS1 promoted cell proliferation and inhibited apoptosis via miR-1253/FOXF1 signaling axis in AS patients. CONCLUSIONS According to the results, we found that FOXC2-AS1 was upregulated in AS patients; furthermore, FOXC2-AS1 overexpression promoted cell proliferation and inhibited cell apoptosis via targeting miR-1253/FOXF1 signaling axis. Our results elucidated a potential mechanism underlying the role of FOXC2-AS1, which might be used as a promising marker and a potential target for AS patients.
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Affiliation(s)
- Y-Q Wang
- Department of Cardiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan Province, China.
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22
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Ni H, Niu LL, Tian SC, Jing LK, Zhang LT, Lin QQ, Cai YH, Liang HM, Du Q, Li H. Long non-coding RNA LINC00152 is up-regulated in ovarian cancer tissues and regulates proliferation and cell cycle of SKOV3 cells. Eur Rev Med Pharmacol Sci 2020; 23:9803-9813. [PMID: 31799647 DOI: 10.26355/eurrev_201911_19543] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To characterize functions of long non-coding RNA (lncRNA) in the progression of epithelial ovarian cancer. PATIENTS AND METHODS Epithelial ovarian cancer tissues and matching normal tissues were collected from two individual patients for RNA microarray analysis. Besides, twenty-two ovarian cancer samples and ten healthy ovarian epithelial tissues were collected for Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR). Microarray assay suggested that a list of cancer relating mRNAs and lncRNAs were upregulated. The identified lncRNAs were validated via RT-qPCR, which led to the identification of long intergenic non-protein coding RNA 152 (LINC00152). To determine the function of LINC00152 in ovarian cancer, we knocked down the expression of LINC00152 in epithelial ovarian cancer cell line SKOV3 with small interference RNAs (siRNAs). The effects of LIN00152 on the proliferation and cell cycle were determined by comparing the cell viability of SKOV3 cells with LIN00152 knockdown and the control cells with negative siRNA. The cell viability was assessed using Cell Counting Kit-8 (CCK-8) and flow cytometry assay. RNA microarray assay was used again in control and LINC00152 knockdown SKOV3 cells to identify downstream signaling pathways. RESULTS Fourteen ovarian cancer relating lncRNAs were identified by RNA microarray assay. Up-regulation of LINC00152 was validated via RT-qPCR. A higher expression of LINC00152 in late cancer stage (III-IV) compared to the early stage tumors was also demonstrated. Inhibition of LINC00152 in SKOV3 cells inhibited cell proliferation and induced cell cycle arrest that involved prolonged G1 phase and shortened S phase. The microarray assay data of SKOV3 cells suggested that Cyclin-Dependent Kinase Inhibitor 1C (CDKN1C) was a potential downstream target of LINC00152. CONCLUSIONS LINC00152 is upregulated in epithelial ovarian cancer tissues comparing to normal tissues. Knockdown of LINC00152 expression inhibits cell proliferation and induces cell cycle arrest. LINC00152 possibly interacts with Tumor Necrosis Factor (TNF) signaling pathway. CDKN1C is a potential downstream target of LINC00152.
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Affiliation(s)
- H Ni
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
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23
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Gan Y, Du Q, Liu W, Li J, Jiang X, Li X, Ou X, Yue H, Zhu H, Zhong Q, Luo D, Liang Q, Xie Y, Zhang Q, Li G, Shang Y. Value Of Radiotherapy After Minimally Invasive Surgery In Patients With Stage IA1-IIA1 Cervical Cancer. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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24
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Parr E, Du Q, Zhang C, Lin C, Kamal A, McAlister J, Liang X, Bavitz K, Rux G, Hollingsworth M, Baine M, Zheng D. Radiomics-Based Survival and Recurrence Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.680] [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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25
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Cai LJ, Zhang Q, Zhang Y, Chen HX, Shi ZY, Du Q, Zhou HY. Clinical characteristics of very late-onset neuromyelitis optica spectrum disorder. Mult Scler Relat Disord 2020; 46:102515. [PMID: 33032051 DOI: 10.1016/j.msard.2020.102515] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 09/11/2020] [Accepted: 09/15/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND The typical age at onset of neuromyelitis optica spectrum disorder (NMOSD) is between 30 and 40 years. A growing awareness about the disease and advances in diagnostic techniques have led to an increase in the number of patients being diagnosed with very late-onset (VLO) NMOSD. This study compared the clinical characteristics, treatments, and prognoses between patients with VLO-NMOSD or late-onset (LO) NMOSD. METHODS Patients in our study were assigned to two groups based on age at onset of the disease: LO-NMOSD (50-70 years old at onset) and VLO-NMOSD (> 70 years old at onset). We compared clinical characteristics, magnetic resonance imaging of lesions, prognosis, and treatments between the two groups. RESULTS We collected data from 12 VLO-NMOSD patients with a median age at onset of 74.0 years (interquartile range, 72.6-75.9 years) and 104 LO-NMOSD patients with a median age at onset of 56.0 years (55.8-57.9 years). There were a high proportion of female patients in both the VLO-NMOSD group (9, 75.0%) and the LO-NMOSD group (91, 87.5%). Our study indicated that VLO-NMOSD patients had significantly higher expanded disability status scale (EDSS) scores (8.5 vs 4.0, p = 0.01), higher motor disability rates (41.7% vs 9.6%, p = 0.002), and higher mortality rates (25.0 vs 4.8%, p = 0.044) at last follow-up. However, patients with VLO-NMOSD had lower rates of immunosuppressant usage (50.0% vs 76.9%, p = 0.044). Age at onset was positively correlated with EDSS score at remission (r = 0.49, p < 0.001). CONCLUSION VLO-NMOSD was associated with higher EDSS score at remission, higher rates of mortality and motor disability, but lower rates of immunosuppressive treatment usage than LO-NMOSD. Future studies are needed to understand the effects of NMOSD on older patients, and to seek suitable treatment to improve their prognosis.
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Affiliation(s)
- L J Cai
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Q Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - H X Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Y Shi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Q Du
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - H Y Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Zhang L, Wei JG, Du YH, Gao XZ, Han J, Du Q, Xu Y, Li WC, Li SL. [MicroRNA-140-5p suppresses cell proliferation and invasion in esophageal squamous cell carcinoma by targeting Glut1]. Zhonghua Bing Li Xue Za Zhi 2020; 49:897-903. [PMID: 32892554 DOI: 10.3760/cma.j.cn112151-20200213-00088] [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 expression of microRNA-140-5p (miR-140-5p) in esophageal squamous cell carcinoma (ESCC) and its role in cell proliferation and invasion of ESCC. Methods: Real-time quantitative PCR (qPCR) was used to detect the expression levels of miR-140-5p in ESCC tissues and cells. Negative control and miR-140-5p mimic were transfected into Eca109 and KYSE70 cells. CCK-8 kit and Transwell assay were employed to examine the changes of cell proliferation and invasion ability after transfection, respectively. The dual-luciferase reporter assay was used to assess the interaction of miR-140-5p with Glut1. Western blot was utilized to detect the Glut1 protein expression after transfection. Results: Analysis of the related GEO datasets revealed that the expression of miR-140-5p in ESCC tissues was significantly lower than that in normal tissues (P<0.01). The qPCR testing demonstrated that the expression of miR-140-5p in ESCC tissues and cells was markedly lower than that in normal tissues and normal esophageal epithelial cell Het-1A (P<0.01). The miR-140-5p expression was closely associated with tumor differentiation, TNM staging and lymph node metastasis in ESCC patients. The survival rate of ESCC patients with high miR-140-5p level was higher than those with low miR-140-5p level (P<0.05). Besides, addition of miR-140-5p mimic significantly upregulated the expression of miR-140-5p in Eca109 and KYSE70 cells, and suppressed cell proliferation and invasion in Eca109 and KYSE70 cells. The dual-luciferase reporter assay showed that Glut1 was a direct target of miR-140-5p in ESCC cells, and its expression was upregulated in ESCC tissues. Glut1 expression was inversely associated with miR-140-5p expression in ESCC tissues. MiR-140-5p mimic dramatically inhibited the expression of Glut1 in Eca109 and KYSE70 cells. Conclusions: MiR-140-5p plays an essential role in ESCC development and progression. Targeting at miR-140-5p/Glut1 may be a novel therapeutic strategy for ESCC patients.
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Affiliation(s)
- L Zhang
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J G Wei
- Department of Pathology, Shaoxing People's Hospital of Zhejiang Province, Shaoxing 312000, China
| | - Y H Du
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Z Gao
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Han
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Q Du
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Xu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W C Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Yu J, Du Q, Chen J. The Significance and Challenge of Quantitative Hemodynamic Study in Moyamoya Disease. AJNR Am J Neuroradiol 2020; 41:E71. [PMID: 32675344 DOI: 10.3174/ajnr.a6517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- J Yu
- Department of NeurosurgeryZhongnan Hospital of Wuhan UniversityWuhan, China
| | - Q Du
- Department of RheumatologyXiangya Hospital, Central South UniversityHunan, China
| | - J Chen
- Department of NeurosurgeryZhongnan Hospital of Wuhan UniversityWuhan, China
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Yu J, Du Q, Chen J. Angiographic characteristics in Moyamoya disease with the p.R4810K variant: a propensity score-matched analysis. Eur J Neurol 2020; 27:e26. [PMID: 32125061 DOI: 10.1111/ene.14194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 02/27/2020] [Indexed: 11/30/2022]
Affiliation(s)
- J Yu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Q Du
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - J Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
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29
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Hong R, Du Q, Pan Y. New Imaging Findings of Incomplete Partition Type III Inner Ear Malformation and Literature Review. AJNR Am J Neuroradiol 2020; 41:1076-1080. [PMID: 32467182 DOI: 10.3174/ajnr.a6576] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Accepted: 04/04/2020] [Indexed: 11/07/2022]
Abstract
Incomplete partition type III, also referred to as X-linked deafness, is a rare genetic inner ear malformation. Its characteristic CT findings, including bulbous dilation of the internal auditory canal and absence of the modiolus with the interscalar septa present, have been well-recognized. In this series of 19 cases, we report the abnormalities of the vestibule and semicircular canals and provide a comprehensive description of their CT and MR imaging findings. The inner ear malformations in incomplete partition type III were bilateral and basically symmetric, with involvement of the internal auditory canal, nerve canals in the fundus, cochlea, vestibule, semicircular canals, vestibular aqueduct, otic capsule, round window, oval window, and stapes. An irregular vestibule with a cystic appearance is also a distinctive imaging feature, which could be seen in about 90% of our patients, with a cystic appearance of the semicircular canals present in nearly half of the cases.
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Affiliation(s)
- R Hong
- From the Departments of Radiology (R.H., Y.P.)
| | - Q Du
- Otolaryngology-Head and Neck Surgery (Q.D.), Eye and ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, China
| | - Y Pan
- From the Departments of Radiology (R.H., Y.P.)
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30
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Yang R, Corasaniti M, Le CC, Liao ZY, Wang AF, Du Q, Petrovic C, Qiu XG, Hu JP, Degiorgi L. Spin-Canting-Induced Band Reconstruction in the Dirac Material Ca_{1-x}Na_{x}MnBi_{2}. Phys Rev Lett 2020; 124:137201. [PMID: 32302196 DOI: 10.1103/physrevlett.124.137201] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/12/2020] [Accepted: 03/06/2020] [Indexed: 06/11/2023]
Abstract
The ternary AMnBi_{2} (A is alkaline as well as rare-earth atom) materials provide an arena for investigating the interplay between low-dimensional magnetism of the antiferromagnetic MnBi layers and the electronic states in the intercalated Bi layers, which harbor relativistic fermions. Here, we report on a comprehensive study of the optical properties and magnetic torque response of Ca_{1-x}Na_{x}MnBi_{2}. Our findings give evidence for a spin canting occurring at T_{s}∼50-100 K. With the support of first-principles calculations we establish a direct link between the spin canting and the reconstruction of the electronic band structure, having immediate implications for the spectral weight reshuffling in the optical response, signaling a partial gapping of the Fermi surface, and the dc transport properties below T_{s}.
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Affiliation(s)
- R Yang
- Laboratorium für Festkörperphysik, ETH-Zürich, 8093 Zürich, Switzerland
| | - M Corasaniti
- Laboratorium für Festkörperphysik, ETH-Zürich, 8093 Zürich, Switzerland
| | - C C Le
- Max Planck Institute for Chemical Physics of Solids, Dresden 01187, Germany
| | - Z Y Liao
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - A F Wang
- Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Q Du
- Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, New York 11973, USA
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11790, USA
| | - C Petrovic
- Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, New York 11973, USA
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11790, USA
| | - X G Qiu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
| | - J P Hu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- Kavli Institute for Theoretical Sciences and CAS Center for Excellence in Topological Quantum Computation, University of Chinese Academy of Sciences, Beijing 100190, China
- South Bay Interdisciplinary Science Center, Dongguan, Guangdong Province 523808, China
| | - L Degiorgi
- Laboratorium für Festkörperphysik, ETH-Zürich, 8093 Zürich, Switzerland
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Niu J, An G, Gu Z, Li P, Liu Q, Bai R, Sun J, Du Q. Analysis of sensitivity and specificity: precise recognition of neutrophils during regeneration of contused skeletal muscle in rats. Forensic Sci Res 2020; 7:228-237. [PMID: 35784418 PMCID: PMC9245985 DOI: 10.1080/20961790.2020.1713432] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
In this report, we applied the TissueFAXS 200 digital pathological analysis system to rapidly and accurately identify neutrophils during regeneration of contused skeletal muscle, and to provide information for follow-up studies on neutrophils to estimate wound age. Rat injury model was established, and skeletal muscle samples were obtained from the control group and contusion groups at 1, 1.5, 2, 3, 4, and 6 h, as well as at 1, 3, 5, and 15 d post-injury (n = 5 per group). The expression of nuclei and neutrophils was detected by hematoxylin and eosin (HE) staining and immunohistochemical (IHC) staining. A total of 20 injury site areas of 0.25 mm2 (0.5 mm × 0.5 mm) were then randomly selected at all time points. A TissueFAXS 200 digital pathological analysis system was used to identify the positive and negative numbers. Knowledge of five professional medical workers were considered the gold standard to measure the false positive rate (FPR), false negative rate (FNR), sensitivity, specificity, and area under the curve (AUC) of receiver operating characteristic (ROC) curves. As a result, with a staining area of neutrophils from 8 µm2 to 15 µm2, the FPR was 4.28%–12.14%, the FNR was 12.42%–64.08%, the sensitivity was 35.92%–87.58%, the specificity was 87.86%–95.72%, the Youden index was 0.316–0.754, the accuracy was 82.80%–88.30%, and the AUC was 0.771–0.826. The AUC was largest when the cut-off value of the staining area was 12 µm2. Our results show that this software-based method is more accurate than the human eye in evaluating neutrophil infiltration. Based on the sensitivity and specificity, neutrophils can be accurately identified during regeneration of contused skeletal muscle. The TissueFAXS 200 digital pathological analysis system can also be used to optimize conditions for different cell types under various injury conditions to determine the optimal cut-off value of the staining area and provide optimal conditions for further study. Furthermore, it will provide evidence for forensic pathology cases.
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Affiliation(s)
- Jiajia Niu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Guoshuai An
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Zhen Gu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Peng Li
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qiqing Liu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
- Criminal Investigation Brigade, Zhuji Public Security Bureau, Zhuji, China
| | - Rufeng Bai
- 2011 Cooperative Innovation Center of Judicial Civilization, Beijing, China
- Key Laboratory of Evidence Science, China University of Political Science and Law, Ministry of Education, Beijing, China
| | - Junhong Sun
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
| | - Qiuxiang Du
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, China
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32
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Du Q, Niu GL. [Removable partial denture restoration for a patient with limited mouth opening using intraoral scanning and three-dimensional printing technique: a case report]. Zhonghua Kou Qiang Yi Xue Za Zhi 2020; 55:189-190. [PMID: 32193917 DOI: 10.3760/cma.j.issn.1002-0098.2020.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- Q Du
- Department of Stomatology, Beijing Hospital of Integrated Traditional Chinese and Western Medicine, Beijing 100039, China
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Chen H, Qian L, Jiang M, Du Q, Yuan F, Feng W. Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China. Ultrasound Obstet Gynecol 2019; 54:815-822. [PMID: 31152572 DOI: 10.1002/uog.20363] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 05/21/2019] [Accepted: 05/23/2019] [Indexed: 06/09/2023]
Abstract
OBJECTIVE To evaluate the diagnostic accuracy of the International Ovarian Tumor Analysis (IOTA) Assessment of Different NEoplasias in the adneXa (ADNEX) model in the preoperative diagnosis of adnexal masses using data from a gynecological oncology center in China. METHODS This was a single-center, retrospective diagnostic accuracy study based on ultrasound data collected prospectively, between May and December 2017, from 278 patients with at least one adnexal (ovarian, paraovarian or tubal) mass. Clinical and pathologic information, serum CA 125 level and ultrasonographic findings were collected. All patients underwent surgery and the histopathological diagnosis was used as reference standard. The final diagnosis was classified into five tumor types according to the ADNEX model: benign ovarian tumor, borderline ovarian tumor (BOT), Stage-I ovarian cancer (OC), Stages-II-IV OC and ovarian metastasis. Receiver-operating characteristics (ROC) curve analysis was used to evaluate the diagnostic accuracy of the ADNEX model, with and without inclusion of CA 125 level in the model. RESULTS Of the 278 women included, 203 (73.0%) had a benign ovarian tumor and 75 (27.0%) had a malignant ovarian tumor, including 18 (6.5%) with BOT, 17 (6.1%) with Stage-I OC, 32 (11.5%) with Stages-II-IV OC and eight (2.9%) with ovarian metastasis. The performance of the IOTA ADNEX model was good for discriminating between benign and malignant tumors, with an area under the ROC curve (AUC) of 0.94 (95% CI, 0.91-0.97) when CA 125 was included in the model and AUC of 0.93 (95% CI, 0.90-0.96) without CA 125. The AUC values of the model including CA 125 ranged between 0.61 and 0.99 for distinguishing between the different types of tumor, and it showed excellent performance in discriminating between a benign ovarian tumor and Stages-II-IV OC, with an AUC of 0.99 (95% CI, 0.97-1.00). The performance of the model was less effective at distinguishing between BOT and Stage-I OC and between Stages-II-IV OC and ovarian metastasis, with AUC values of 0.61 (95% CI, 0.43-0.77) and 0.78 (95% CI, 0.62-0.90), respectively. Although inclusion of CA 125 did not alter the performance of the ADNEX model in discriminating between benign and malignant lesions (AUC of 0.94 and 0.93 with and without CA 125 level, respectively; P = 0.54), the inclusion of CA 125 in the model improved its performance in discriminating between Stage-I OC and Stages-II-IV OC (AUC increased from 0.81 to 0.92; P = 0.04) and between Stages-II-IV OC and metastatic cancer (AUC increased from 0.58 to 0.78; P = 0.01). CONCLUSIONS The IOTA ADNEX model showed good to excellent performance in distinguishing between benign and malignant adnexal masses and between the different types of ovarian tumor in a Chinese setting. Based on our findings, the ADNEX model has high value in clinical practice and can aid in the preoperative diagnosis of patients with an adnexal mass. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- H Chen
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - L Qian
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - M Jiang
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - Q Du
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - F Yuan
- Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - W Feng
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
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Yang LT, Li HB, Yue Q, Ma H, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo QJ, He L, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma JL, Mao YC, Pan H, Ren J, Ruan XC, Sharma V, She Z, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Search for Light Weakly-Interacting-Massive-Particle Dark Matter by Annual Modulation Analysis with a Point-Contact Germanium Detector at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:221301. [PMID: 31868422 DOI: 10.1103/physrevlett.123.221301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Indexed: 06/10/2023]
Abstract
We present results on light weakly interacting massive particle (WIMP) searches with annual modulation (AM) analysis on data from a 1-kg mass p-type point-contact germanium detector of the CDEX-1B experiment at the China Jinping Underground Laboratory. Datasets with a total live time of 3.2 yr within a 4.2-yr span are analyzed with analysis threshold of 250 eVee. Limits on WIMP-nucleus (χ-N) spin-independent cross sections as function of WIMP mass (m_{χ}) at 90% confidence level (C.L.) are derived using the dark matter halo model. Within the context of the standard halo model, the 90% C.L. allowed regions implied by the DAMA/LIBRA and CoGeNT AM-based analysis are excluded at >99.99% and 98% C.L., respectively. These results correspond to the best sensitivity at m_{χ}<6 GeV/c^{2} among WIMP AM measurements to date.
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Affiliation(s)
- L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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Zhang XZ, Liu AG, Guo ML, Guan J, Cai SL, Du Q, Zhou CY. Relationship of platelet microparticle CD62P and activated GP IIb/IIIa with hypercoagulable state after atrial fibrillation radiofrequency catheter ablation. Eur Rev Med Pharmacol Sci 2019; 22:3919-3924. [PMID: 29949168 DOI: 10.26355/eurrev_201806_15277] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The morbidity of atrial fibrillation (AF) is 1%-2% in clinic. Radiofrequency catheter ablation (RFCA) is a type of radical interventional therapy for AF, whereas it may lead to a hypercoagulable state. This study evaluated platelet particle CD62P and platelet activation biomarker GP IIb/IIIa expressions in AF patients treated by RFCA, and aimed to analyze their relationships with the hypercoagulable state after RFCA. PATIENTS AND METHODS A total of 60 AF patients received RFCA in our hospital were enrolled. The patients were divided into group A as hypercoagulable state group and group B as non-hypercoagulable group. Healthy volunteers were selected as normal control. Serum D-Dimer, parathyroid activity index 1 (PAI-1), and tissue plasminogen activator (t-PA) content were tested by using enzyme-linked immunosorbent assay (ELISA), while peripheral CD62P and GP IIb/IIIa expressions were detected by using flow cytometry before, after, and seven days after RFCA. RESULTS D-Dimer and PAI-1 levels increased, while t-PA reduced in group A compared with that in group B and control (p<0.05). D-Dimer and t-PA contents gradually elevated, whereas t-PA level gradually declined in group A before, after, and seven days after RFCA (p<0.05). Serum CD62P and GP IIb/IIIa expressions in group A were significantly higher compared to that in group B and control (p<0.05). CD62P and GP IIb/IIIa levels were significantly higher seven days after RFCA compared with immediate after RFCA in group A (p<0.05). CD62P showed a positive correlation with GP IIb/IIIa in hypercoagulable state patients after RFCA (p<0.05). CONCLUSIONS AF patient may appear in hypercoagulable state after RFCA. CD62P and GP IIb/IIIa significantly increased and exhibited a positive correlation.
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Affiliation(s)
- X-Z Zhang
- Department of Emergency Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
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36
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Liu ZZ, Yue Q, Yang LT, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo XY, Guo QJ, He L, He SM, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Ma H, Ma JL, Mao YC, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Sharma V, She Z, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang FS, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Spin-Independent Nucleus Scattering with sub-GeV Weakly Interacting Massive Particle Dark Matter from the CDEX-1B Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:161301. [PMID: 31702340 DOI: 10.1103/physrevlett.123.161301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Indexed: 06/10/2023]
Abstract
We report results on the searches of weakly interacting massive particles (WIMPs) with sub-GeV masses (m_{χ}) via WIMP-nucleus spin-independent scattering with Migdal effect incorporated. Analysis on time-integrated (TI) and annual modulation (AM) effects on CDEX-1B data are performed, with 737.1 kg day exposure and 160 eVee threshold for TI analysis, and 1107.5 kg day exposure and 250 eVee threshold for AM analysis. The sensitive windows in m_{χ} are expanded by an order of magnitude to lower DM masses with Migdal effect incorporated. New limits on σ_{χN}^{SI} at 90% confidence level are derived as 2×10^{-32}∼7×10^{-35} cm^{2} for TI analysis at m_{χ}∼50-180 MeV/c^{2}, and 3×10^{-32}∼9×10^{-38} cm^{2} for AM analysis at m_{χ}∼75 MeV/c^{2}-3.0 GeV/c^{2}.
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Affiliation(s)
- Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
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Jian M, Du Q, Zhu D, Mao Z, Wang X, Feng Y, Xiao Z, Wang H, Zhu Y. Tumor suppressor miR-145-5p sensitizes prolactinoma to bromocriptine by downregulating TPT1. J Endocrinol Invest 2019; 42:639-652. [PMID: 30370446 DOI: 10.1007/s40618-018-0963-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 10/01/2018] [Indexed: 01/27/2023]
Abstract
PURPOSE Prolactinoma is the most commonly seen secretory tumor of pituitary glands, which accounts for approximately up to 40% of total pituitary adenomas. Due to its high drug resistance, dopamine agonist, such as bromocriptine, has limited effect on the treatment of patients with prolactinoma. Recent discoveries have revealed that multiple miRNAs were involved in regulating drug resistance. In this research, we explored the relationship between miR-145-5p expression as well as bromocriptine sensitivity both in vitro and in vivo. METHODS To study the role of miR-145-5p in drug resistance of prolactinoma, the expression levels of miR-145-5p in bromocriptine-resistant prolactinoma cell line MMQ/BRC and its parental cell line MMQ cells, 24 bromocriptine-resistant as well as eight sensitive clinical samples were measured by qRT-PCR. Moreover, CCK8, flow cytometry and immunofluorescence were performed to identify the biological characteristics of MMQ/BRC and MMQ. TPT1 was predicted as a direct target gene of miR-145-5p by bioinformatic methods. In addition, qRT-PCR, western blot and immunohistochemistry were used to detect the expression level of TPT1 in clinical specimens and cell lines. Xenograft mouse model was constructed to analyze whether miR-145-5p could reverse bromocriptine resistance in prolactinoma in vivo. RESULTS In our study, bromocriptine-resistant prolactinoma clinical samples and cell line had decreased miR-145-5p levels and expressed high levels of TPT1 compared with their sensitive counterparts. Bioinformatic methods and our preliminary dual luciferase reporter assay were utilized to elucidate that TPT1 was a direct target gene of miR-145-5p. Furthermore, introducing miR-145-5p mimic into MMQ cells led to a decrease of IC50 along with upregulation of TPT1; nevertheless, transfecting the corresponding inhibitor into MMQ cells resulted in an upregulation of IC50 as well as reduction of TPT1. CONCLUSIONS Collectively, our findings elucidated the role of miR-145-5p as an important regulator of drug resistance in prolactinoma by controlling TPT1, and implicated the potential application of miR-145-5p in cancer therapy as well.
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Affiliation(s)
- M Jian
- Department of Histology and Embryology, Medical School of Sun Yat-sen University, No. 74, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Q Du
- Department of Histology and Embryology, Medical School of Sun Yat-sen University, No. 74, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - D Zhu
- Department of Neurosurgery and Pituitary Tumor Center, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Z Mao
- Department of Neurosurgery and Pituitary Tumor Center, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - X Wang
- Department of Histology and Embryology, Medical School of Sun Yat-sen University, No. 74, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Y Feng
- Department of Histology and Embryology, Medical School of Sun Yat-sen University, No. 74, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Z Xiao
- Department of Neurosurgery and Pituitary Tumor Center, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - H Wang
- Department of Neurosurgery and Pituitary Tumor Center, The First Affiliated Hospital of Sun Yat-sen University, No. 58, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
| | - Y Zhu
- Department of Histology and Embryology, Medical School of Sun Yat-sen University, No. 74, Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
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Du Q, Yu XJ, Li HJ, Guan SQ, Zhang ZY, Mei YF. [The expression and clinical significance of proprotein convertase subtilisin kexin 9 in rheumatoid arthritis]. Zhonghua Nei Ke Za Zhi 2019; 56:655-659. [PMID: 28870033 DOI: 10.3760/cma.j.issn.0578-1426.2017.09.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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 assess the expression and significance of proprotein convertase subtilisin kexin 9 (PCSK9) in patients with rheumatoid arthritis (RA). Methods: Sixty-five RA patients and forty-seven healthy controls were recruited in this study. The body mass index (BMI) and serum total cholesterol(TC), triglyceride(TG), high density lipoprotein(HDL), lipoprotein a, low density lipoprotein(LDL), very low density lipoprotein(VLDL), apolipoprotein A(ApoA), apolipoprotein B(ApoB) and the ratio of LDL-C/HDL-C were tested. Other parameters included disease activity score 28(DAS28), rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP) antibody, erythrocyte sedimentation rate (ESR), c-reactive protein (CRP). Serum PCSK9 level was measured by ELISA and compared between RA patients and healthy controls. Results: (1) The serum PCSK9 levels in RA patients were higher than those in healthy controls[(409.36±223.52) μg/L vs (292.19±109.79) μg/L, P<0.05]. (2) Compared with subgroup of moderate and low active disease and patients in remission, PCSK9 was significantly higher in patients with highly active disease (P<0.05). (3) The serum PCSK9 levels were positively correlated with RF, TC, TG, LDL, very low density lipoprotein (VLDL), ApoB, with r values as 0.303, 0.490, 0.320, 0.451, 0.319, 0.463, respectively (P<0.05). (4) Multiple stepwise regression analysis showed that DAS28, RF, TC and LDL-C/HDL-C were relevant factors for PCSK9 in RA patients. Conclusions: The serum PCSK9 level is elevated in RA patients, which is related to RF, disease activity, TC, TG, LDL, VLDL, ApoB. This suggests that PCSK9 is potentially linked to inflammatory reaction and lipid metabolism in rheumatoid arthritis.
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Affiliation(s)
- Q Du
- Department of Rheumatology, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
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Xu X, Sui X, Zhong W, Xu Y, Wang Z, Jiang J, Ge Y, Song L, Du Q, Wang X, Song W, Jin Z. Clinical utility of quantitative dual-energy CT iodine maps and CT morphological features in distinguishing small-cell from non-small-cell lung cancer. Clin Radiol 2019; 74:268-277. [PMID: 30691731 DOI: 10.1016/j.crad.2018.10.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 10/25/2018] [Indexed: 01/05/2023]
Abstract
AIM To evaluate the clinical usefulness of quantitative dual-energy (DE) computed tomography (CT) iodine enhancement metrics combined with morphological CT features in distinguishing small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS One hundred and six untreated lung cancer patients who underwent DECT before biopsy or surgery were prospectively enrolled. Twenty-seven routine CT descriptors, including tumour location, size, shape, margin, enhancement heterogeneity, and internal and surrounding structures, and associated findings were assessed and DECT parameters were measured in all patients. Multiple logistic regression analyses were applied to identify independent predictors of SCLC. The area under the receiver operating characteristic curve was compared between CT features combined with DECT metrics and CT features alone for distinguishing SCLC from NSCLC. RESULTS Histology revealed NSCLC in 80 and SCLC in 26 patients. In univariate analysis, 12 morphological CT features and two DECT metrics differed significantly between NSCLC and SCLC. When DECT parameters were combined with CT features for multivariate analysis, the independent predictors of SCLC were large tumour size, central location, confluent mediastinal lymphadenopathy, homogeneous enhancement, absence of coarse spiculation, and lower iodine density and iodine ratio (all p<0.05). The area under the receiver operating characteristic curve was improved from 0.908 to 0.981 after adding DECT metrics compared with CT features alone (p=0.007). CONCLUSION The combination of DECT measures and CT morphological features can be used to distinguish SCLC from NSCLC, with higher diagnostic performance compared with CT morphological features alone.
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Affiliation(s)
- X Xu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - X Sui
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - W Zhong
- Department of Respiratory Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Y Xu
- Department of Respiratory Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Z Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - J Jiang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Y Ge
- Siemens China, Beijing, China
| | - L Song
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Q Du
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - X Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - W Song
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
| | - Z Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
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Zhang DL, Du Q, Djemli A, Julien P, Fraser WD, Luo ZC. Cord blood insulin, IGF-I, IGF-II, leptin, adiponectin and ghrelin, and their associations with insulin sensitivity, β-cell function and adiposity in infancy. Diabet Med 2018; 35:1412-1419. [PMID: 29766568 DOI: 10.1111/dme.13671] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/10/2018] [Indexed: 12/12/2022]
Abstract
AIM Vulnerability to insulin resistance and Type 2 diabetes may originate in early life, but little is known about whether any perinatal biomarkers are predictive of later metabolic health. We sought to assess whether cord blood insulin, insulin-like growth factor (IGF)-I, IGF-II, leptin, adiponectin and ghrelin are associated with metabolic health indicators in infancy. METHODS In a prospective singleton birth cohort, we assessed cord blood insulin, IGF-I, IGF-II, leptin, adiponectin and ghrelin concentrations in relation to the homeostasis model assessment of insulin resistance (HOMA-IR), β-cell function (HOMA-β), fasting proinsulin-to-insulin ratio, BMIz-score, and the sum of triceps and subscapular skinfold thickness (an indicator of adiposity) in infants at age 1 year (n = 185). RESULTS Adjusting for maternal and infant characteristics, one standard deviation (sd) increase in cord blood adiponectin was associated with an 11.1% (95% confidence interval 1.8-19.5%) decrease in HOMA-β (P = 0.02) and a 13.6% (1.8-26.8%) increase in proinsulin-to-insulin ratio (P = 0.02), indicating worse β-cell function in infants at age 1 year. One sd increase in cord blood insulin was associated with a 0.5 (0.1-1.0) mm increase in skinfold thickness (P = 0.01). One sd increase in cord blood ghrelin was associated with a 0.2 (0.02-0.3) decrease in BMIz-score (P = 0.02) and a 0.5 (0.1-0.9) mm decrease (P = 0.02) in skinfold thickness. Cord blood IGF-I and IGF-II were not associated with the observed metabolic health indicators at age 1 year. CONCLUSION The study is the first to show that cord blood adiponectin may be negatively predictive of β-cell function, whereas cord blood ghrelin may be negatively predictive of adiposity in infancy.
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Affiliation(s)
- D L Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Department of Obstetrics and Gynecology, Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
| | - Q Du
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Department of Obstetrics and Gynecology, Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
| | - A Djemli
- Departments of Clinical Biochemistry and Pediatrics, Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
| | - P Julien
- Departments of Medicine, Endocrinology and Nephrology, CHU-Quebec Laval University Research Center, Quebec City, Canada
| | - W D Fraser
- Department of Obstetrics and Gynecology, Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
- Department of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, Canada
| | - Z C Luo
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Department of Obstetrics and Gynecology, Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
- Department of Obstetrics and Gynecology, Prosserman Center for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
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Wang J, Wang X, Ma Z, Yun K, Liu J, Chen D, Liu Z, Shi J, Li Z, Gao C, Du Q, Zhang G. A SNaPshot assay for detection of 45 mutations in the SCN5A gene in the Chinese Han Population. Electrophoresis 2018; 39:2270-2276. [DOI: 10.1002/elps.201800096] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 05/25/2018] [Accepted: 05/30/2018] [Indexed: 11/07/2022]
Affiliation(s)
- Jiaqi Wang
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Xudong Wang
- Forensic Science Engineering Research Center of Universities in Chongqing; Chongqing P. R. China
| | - Zhihua Ma
- Key Laboratory of Criminal Science and Technology of Chongqing City; Chongqing P. R. China
| | - Keming Yun
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Jinding Liu
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Deqing Chen
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Zidong Liu
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Jie Shi
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Zeqin Li
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Cairong Gao
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Qiuxiang Du
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
| | - Gengqian Zhang
- School of Forensic Medicine; Shanxi Medical University; Taiyuan P. R. China
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Zhou X, Du Q. Association between idiopathic scoliosis and bone quality. Ann Phys Rehabil Med 2018. [DOI: 10.1016/j.rehab.2018.05.359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Du Q, Zhou X, Sun K. Randomized controlled trial of a home-based exercise program for children with congenital heart disease following interventional cardiac catheterization: A preliminary study. Ann Phys Rehabil Med 2018. [DOI: 10.1016/j.rehab.2018.05.648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Zhou X, Du Q. High risk of motor development delay in children with congenital muscular torticollis. Ann Phys Rehabil Med 2018. [DOI: 10.1016/j.rehab.2018.05.700] [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: 10/28/2022]
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Jiang H, Jia LP, Yue Q, Kang KJ, Cheng JP, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Deng Z, Du Q, Gong H, He L, Hu JW, Hu QD, Huang HX, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma H, Ma JL, Pan H, Ren J, Ruan XC, Sevda B, Sharma V, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yang LT, Yang SW, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Limits on Light Weakly Interacting Massive Particles from the First 102.8 kg×day Data of the CDEX-10 Experiment. Phys Rev Lett 2018; 120:241301. [PMID: 29956956 DOI: 10.1103/physrevlett.120.241301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/07/2018] [Indexed: 06/08/2023]
Abstract
We report the first results of a light weakly interacting massive particles (WIMPs) search from the CDEX-10 experiment with a 10 kg germanium detector array immersed in liquid nitrogen at the China Jinping Underground Laboratory with a physics data size of 102.8 kg day. At an analysis threshold of 160 eVee, improved limits of 8×10^{-42} and 3×10^{-36} cm^{2} at a 90% confidence level on spin-independent and spin-dependent WIMP-nucleon cross sections, respectively, at a WIMP mass (m_{χ}) of 5 GeV/c^{2} are achieved. The lower reach of m_{χ} is extended to 2 GeV/c^{2}.
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Affiliation(s)
- H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, Ízmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, Ízmir 35160
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - S W Yang
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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Liu J, Du Q, Huang J, Yao S. Galectin-3 induces protein ezrin phosphorylation via integrin α3β1/c-src/PI3K/AKT cascade and promotes cervical cancer metastasis. Gynecol Oncol 2018. [DOI: 10.1016/j.ygyno.2018.04.138] [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: 11/27/2022]
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Abstract
Abstract
The effects of graphene nano-platelets (GNPs) content on melt flow behavior and flexural properties of reinforced polypropylene (PP) composites were investigated. The results showed that both the flexural modulus and strength at room temperature increased when GNPs weight fraction was lower than 0.4 wt.%, and then decreased with increasing GNPs weight fraction. During the melt flow of the PP composites in capillary extrusion within temperatures ranging from 180 to 230 °C and in apparent shear rates varying from 100 to 4 000 s−1, the melt shear flow followed the power law relationship, and the dependence of the melt shear viscosity on temperature obeyed the Arrhenius equation. The correlation between the melt shear viscosity and GNPs weight fraction was approximately linear under the given test conditions.
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Affiliation(s)
- J. Z. Liang
- Research Division of Green Function Materials and Equipment , School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou , PRC
| | - Q. Du
- Research Division of Green Function Materials and Equipment , School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou , PRC
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48
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Li N, Du Q, Bai R, Sun J. Vitality and wound-age estimation in forensic pathology: review and future prospects. Forensic Sci Res 2018; 5:15-24. [PMID: 32490306 PMCID: PMC7241561 DOI: 10.1080/20961790.2018.1445441] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [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: 11/02/2017] [Accepted: 02/12/2018] [Indexed: 01/01/2023] Open
Abstract
Determining the age of a wound is challenging in forensic pathology, but it can contribute to the reconstruction of crime scenes and lead to arrest of suspects. Forensic scholars have tended to focus on evaluating wound vitality and determining the time elapsed since the wound was sustained. Recent progress in forensic techniques, particularly high-throughput analyses, has enabled evaluation of materials at the cellular and molecular levels, as well as simultaneous assessment of multiple markers. This paper provides an update on wound-age estimation in forensic pathology, summarizes the recent literature, and considers useful additional information provided by each marker. Finally, the future prospects for estimating wound age in forensic practise are discussed with the hope of providing something useful for further study.
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Affiliation(s)
- Na Li
- Department of Forensic Pathology, Shanxi Medical University, Taiyuan, China.,Key Laboratory of Forensic Science, Shanxi Medical University, Taiyuan, China
| | - Qiuxiang Du
- Department of Forensic Pathology, Shanxi Medical University, Taiyuan, China.,Key Laboratory of Forensic Science, Shanxi Medical University, Taiyuan, China
| | - Rufeng Bai
- Key Laboratory of Evidence Science, China University of Political Science and Law, Beijing, China.,Collaborative Innovation Centre of Judicial Civilization, Beijing, China
| | - Junhong Sun
- Department of Forensic Pathology, Shanxi Medical University, Taiyuan, China.,Key Laboratory of Forensic Science, Shanxi Medical University, Taiyuan, China
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49
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Sutherland IA, Du Q, Wood P. THE RELATIONSHIP BETWEEN RETENTION, LINEAR FLOW, AND DENSITY DIFFERENCE IN COUNTERCURRENT CHROMATOGRAPHY. J LIQ CHROMATOGR R T 2017. [DOI: 10.1081/jlc-100104370] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- I. A. Sutherland
- a Brunel Institute for Bioengineering, Brunel University , Uxbridge , UB8 3PH , UK
| | - Q. Du
- b Department of Chemical Engineering , Zhejiang University , Hangzhou, Zhejiang , 310027 , P. R. China
| | - P. Wood
- a Brunel Institute for Bioengineering, Brunel University , Uxbridge , UB8 3PH , UK
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50
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Wang L, Lin Z, Chen S, Li J, Chen C, Huang Z, Ye B, Ding J, Li W, Wu L, Jiang Y, Meng L, Du Q, Si J. Ten-day bismuth-containing quadruple therapy is effective as first-line therapy for Helicobacter pylori –related chronic gastritis: a prospective randomized study in China. Clin Microbiol Infect 2017; 23:391-395. [DOI: 10.1016/j.cmi.2016.12.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Revised: 12/25/2016] [Accepted: 12/28/2016] [Indexed: 12/14/2022]
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