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H, Fairhurst S, Fan P, Farah A, Farinon S, Farr B, Farr W, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori A, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Freed J, Frei Z, Freise A, Freitas O, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fujimoto Y, Fulda P, Fyffe M, Gabbard H, Gabella W, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, Núñez CG, García-Quirós C, Garufi F, Gateley B, Gayathri V, Ge GG, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh T, Giacomazzo B, Giacoppo L, Giaime J, Giardina K, Gibson D, Gier C, Giesler M, Giri P, Gissi F, Gkaitatzis S, Glanzer J, Gleckl A, Godwin P, Goetz E, Goetz R, Gohlke N, Golomb J, 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A, Vivanco FH, Heurs M, Hewitt A, Higginbotham S, Hild S, Hill P, Himemoto Y, Hines A, Hirata N, Hirose C, Ho TC, Hochheim S, Hofman D, Hohmann J, Holcomb D, Holland N, Hollows I, Holmes Z, Holt K, Holz D, Hong Q, Hough J, Hourihane S, Howell E, Hoy C, Hoyland D, Hreibi A, Hsieh BH, Hsieh HF, Hsiung C, Hsu Y, Huang HY, Huang P, Huang YC, Huang YJ, Huang Y, Huang Y, Hübner M, Huddart A, Hughey B, Hui D, Hui V, Husa S, Huttner S, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Inayoshi K, Inoue Y, Iosif P, Isi M, Isleif K, Ito K, Itoh Y, Iyer B, JaberianHamedan V, Jacqmin T, Jacquet PE, Jadhav S, Jadhav S, Jain T, James A, Jan A, Jani K, Janquart J, Janssens K, Janthalur N, Jaranowski P, Jariwala D, Jaume R, Jenkins A, Jenner K, Jeon C, Jia W, Jiang J, Jin HB, Johns G, Johnston R, Jones A, Jones D, Jones P, Jones R, Joshi P, Ju L, Jue A, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, 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I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Mihaylov D, Milano L, Miller A, Miller A, Miller B, Millhouse M. Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO-Virgo data. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.042003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Li X, Wang P, Hao Q, Cao Z, Zhang H, Guo J, Hu S, Bai F. Esophageal cancer-related gene 4 and solid tumors: a brief literature review. JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY : AN OFFICIAL JOURNAL OF THE POLISH PHYSIOLOGICAL SOCIETY 2022; 73. [PMID: 36696238 DOI: 10.26402/jpp.2022.4.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 08/30/2022] [Indexed: 01/26/2023]
Abstract
Esophageal cancer-related gene 4 (ECRG4) plays key roles in various malignancies, including lung cancer, prostate cancer, esophageal cancer, and breast cancer, and has potential applications in the early diagnosis, prevention, treatment, and prognosis of cancer. However, the mechanisms underlying the role of ECRG4 in cancer remain elusive. An association between ECRG4 and proliferation, migration, cell cycle, apoptosis, methylation, and ubiquitination in cancer has been found. Additionally, some studies have investigated the regulatory mechanism of the relationship between ECRG4 and long non-coding RNAs, co-factors, and resistance to chemotherapy. Drugs that demethylate ECRG4 are in clinical use. Thus, further investigation of the mechanisms by which ECRG4 influences tumorigenesis, and its clinical significance, are needed. The present study outlines the current understanding of the functions of ECRG4 in cancer and discusses its potential value in cancer therapy.
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Xing TH, Zhang WL, Xie KL, Dun YS, Cao Z, Liu SX. [Full course exercise-based rehabilitation program in a patient with end-stage heart failure before and after heart transplantation]. ZHONGHUA XIN XUE GUAN BING ZA ZHI 2022; 50:705-707. [PMID: 35856228 DOI: 10.3760/cma.j.cn112148-20210709-00578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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Cao Z, Liu G, Zhang Z, Shi F, Zhang Y. [Multimodality-based super-resolution reconstruction for routine brain magnetic resonance images]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2022; 42:1019-1025. [PMID: 35869764 DOI: 10.12122/j.issn.1673-4254.2022.07.08] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To propose a multi-modality-based super-resolution synthesis model for reconstruction of routine brain magnetic resonance images (MRI) with a low resolution and a high thickness into high-resolution images. METHODS Based on real paired low-high resolution MRI data (2D T1, 2D T2 FLAIR and 3D T1), a structure-constrained image mapping network was used to extract important features from the images with different modalities including the whole T1 and subcortical regions of T2 FLAIR to reconstruct T1 images with higher resolutions. The gray scale intensity and structural similarities between the super-resolution images and high-resolution images were used to enhance the reconstruction performance. We used the anatomical information acquired from segment maps of the super-resolution T1 image and the ground truth by a segmentation tool as a significant constraint for adaptive learning of the intrinsic tissue structure characteristics of the brain to improve the reconstruction performance of the model. RESULTS Our method showed the performance on the testing dataset than other methods with an average PSNR of 33.11 and SSIM of 0.996. The anatomical structure of the brain including the sulcus, gyrus, and subcortex were all reconstructed clearly using the proposed method, which also greatly enhanced the precision of MSCSR for brain volume measurement. CONCLUSION The proposed MSCSR model shows excellent performance for reconstructing super-resolution brain MR images based on the information of brain tissue structure and multimodality MR images.
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Xue XM, Cao Z, Yuan T, Luo YY, Mu JL, Qin Y, Feng XL. [Pathological characteristics and clinical prognosis of nodular sclerosis grade 2 of classic Hodgkin's lymphoma]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2022; 44:581-586. [PMID: 35754234 DOI: 10.3760/cma.j.cn112152-20210302-00190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the pathological characteristics and clinical prognosis of nodular sclerosis grade 2 of classic Hodgkin's lymphoma (cHL-NS2) in our cancer center. Methods: A retrospective collection of 23 cases of cHL-NS2 admitted in Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from July 2008 to April 2019 was performed. Fifty-five cases of nodular sclerosis grade 1 of classical Hodgkin's lymphoma (cHL-NS1) during the same period were selected as control group. Survival curves were plotted using the Kaplan-Meier method, and Cox regression model was used to analyze the influencing factors for survival. Results: The median age of 23 cases of cHL-NS2 was 30 years old. Five cases had extra nodal invasion, and 19 cases were Ⅰ-Ⅱ stage based on Ann Arbor system. The pathological morphology of cHL-NS2 showed that the lymph node structure was completely destroyed and was divided into nodules by thick collagen. The tumor cells in the nodules were abundant and proliferated in sheets. The boundaries between the tumor cells were not clear. The incidence of tumor necrosis in cHL-NS2 was 43.5% (10/23), which was significantly higher than 18.2% (10/55) in cHL-NS1 (P=0.040). The 3-year progression-free survival (PFS) rate of patients in the cHL-NS2 group was 58.1%, which was significantly lower than 89.7% in the cHL-NS1 group (P=0.002). In all of 78 cases, the 3-year PFS rate of patients who did not obtain complete response (CR) was 67.1%, which was significantly lower than 92.2% in patients who achieved CR (P=0.030). Multivariate Cox regression analysis demonstrated that both cHL-NS2 and failure to obtain CR by first-line treatment were independent indicators for short PFS time (P<0.05). Conclusions: In cHL-NS2, the morphology of tumor cells are diverse, and tumor necrosis can be easily found. Under the current first-line treatments of doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) or bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, and prednisone (BEACOPP), cHL-NS2 is an independent indicator for worse PFS.
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Tasson J, Telada S, Tenorio R, Terhune J, Terkowski L, Thirugnanasambandam M, Thomas M, Thomas P, Thompson J, Thondapu S, Bork R, Thorne K, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toivonen A, Toland K, Tolley A, Tomaru T, Tomigami Y, Boschi V, Tomura T, Tonelli M, Torres-Forné A, Torrie C, e Melo IT, Töyrä D, Trapananti A, Travasso F, Traylor G, Trevor M, Bose N, Tringali M, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau R, Tsai D, Tsai D, Tsang K, Tsang T, Bose S, Tsao JS, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Tsuzuki T, Turbang K, Bossilkov V, Turconi M, Tuyenbayev D, Ubhi A, Uchikata N, Uchiyama T, Udall R, Ueda A, Uehara T, Ueno K, Ueshima G, Boudart V, Unnikrishnan C, Uraguchi F, Urban A, Ushiba T, Utina A, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Bouffanais Y, Valsan V, van Bakel N, van Beuzekom M, van den Brand J, Van Den Broeck C, Vander-Hyde D, van der Schaaf L, van Heijningen J, Vanosky J, van Putten M, Bozzi A, van 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Creighton J, Creighton T, Criswell A, Croquette M, Crowder S, Cudell J, Cullen T, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall’Osso S, Dálya G, Dana A, DaneshgaranBajastani L, D’Angelo B, Danilishin S, D’Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier L, Datta S, Dattilo V, Dave I, Davier M, Davies G, Davis D, Davis M, Daw E, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi L, De Matteis F, D’Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz M, Diaz-Ortiz M, Didio N, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla A, Dmitriev A, Doctor Z, D’Onofrio L, Donovan F, Dooley K, Doravari S, Dorrington I, Drago M, Driggers J, Drori Y, Ducoin JG, Dupej P, Durante O, D’Urso D, Duverne PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Ewing B, Fafone V, Fair H, Fairhurst S, Farah A, Farinon S, Farr B, Farr W, Farrow N, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Frederick C, Freed J, Frei Z, Freise A, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard H, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, 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Johns G, Jones A, Jones D, Jones J, Jones P, Jones R, Jonker R, Ju L, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner J, Kao Y, Kapadia S, Kapasi D, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key J, Khadka S, Khalili F, Khan S, Khazanov E, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim J, Kim J, Kim K, Kim W, Kim YM, Kimball C, Kimura N, Kinley-Hanlon M, Kirchhoff R, Kissel J, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee A, Knowles T, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong A, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak D, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kuwahara S, Kwak K, Lagabbe P, Laghi D, Lalande E, Lam T, Lamberts A, Landry M, Lane B, Lang R, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche Y, Lee H, Lee H, Lee H, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leonardi M, Leroy N, Letendre N, Levesque C, Levin Y, Leviton J, Leyde K, Li A, Li B, Li J, Li K, Li T, Li X, Lin CY, Lin FK, Lin FL, Lin H, Lin LCC, Linde F, Linker S, Linley J, Littenberg T, Liu G, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo R, Lockwood A, London L, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott T, Lough J, Lousto C, Lovelace G, Lucaccioni J, Lück H, Lumaca D, Lundgren A, Luo LW, Lynam J, Macas R, MacInnis M, Macleod D, MacMillan I, Macquet A, Hernandez IM, Magazzù C, Magee R, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango J, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller A, Miller A, Miller B, Millhouse M, Mills J, Milotti E, Minazzoli O, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moguel E, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moraru D, Morawski F, More A, Moreno C. All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO’s and Advanced Virgo’s first three observing runs. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.122001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Cao Z, Tafti D, Shahnam M. Corrigendum to “Development of drag correlation for suspensions of ellipsoidal particles” [Powder Technology 369 (2020): 298-310]. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Yao L, Liu J, Cao Z, Sheng L. Study of the intentional replantation procedure used to treat a tooth with a palatogingival groove: A case report. J Clin Exp Dent 2022; 14:e205-e210. [PMID: 35173905 PMCID: PMC8842287 DOI: 10.4317/jced.59099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 01/17/2022] [Indexed: 11/05/2022] Open
Abstract
In order to clarify the prognosis of intentional replantation used for palatogingival groove treatment for long-term follow-up observation, the case of a patient with a maxillary lateral incisor with palatogingival groove was investigated. The intentional replantation was carried out to preserve the tooth. The periodontal pocket and the apical bone defect were almost completely repaired at 12-month follow-up. However, the infection was reoccurred after 25-month follow-up examinations. The infected tooth was extracted, of which the root was investigated by histological analysis. Therefore, the reason of the replant failure and the pathways of bacterial infection was investigated. Key words:Palatogingival groove, intentional tooth replantation, bacterial infection, maxillary lateral incisor.
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Huang X, Ma L, Wang X, Wang H, Peng Y, Gao X, Huang H, Chen Y, Zhang Y, Cao Z. Ckip-1 Mediates P. gingivalis-Suppressed Cementoblast Mineralization. J Dent Res 2021; 101:599-608. [PMID: 34875910 DOI: 10.1177/00220345211054744] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Porphyromonas gingivalis is responsible for the destruction of cementum in patients with periodontitis and periapical periodontitis. However, research about the effects of P. gingivalis on cementoblast mineralization and the underlying mechanism is still lacking. Casein kinase 2 interacting protein 1 (Ckip-1) is a scaffold protein that interacts with various proteins and signals to regulate different cell functions, such as cell morphology, apoptosis, and differentiation. In this study, we verified the suppressive effects of P. gingivalis and lipopolysaccharide (Pg-LPS) on OCCM-30 mineralization. We also showed that Ckip-1 gradually decreased during OCCM-30 mineralization but increased with the aggravation of Pg-induced inflammation. However, it remained unchanged when cells were stimulated with Pg-LPS, regardless of the concentration and incubation time. Then, more cellular cementum and enhanced Osterix expression were observed in Ckip-1 knockout mice when compared with the wild-type mice. Meanwhile, Ckip-1 silencing significantly enhanced cementoblast mineralization with or without P. gingivalis-associated inflammation. The trend was opposite when Ckip-1 was overexpressed. Finally, we found that the p38, Akt, and Wnt pathways were activated, while the Erk1/2 pathway was inhibited when Ckip-1 was silenced. The opposite results were also observed in the Ckip-1 overexpression group. Furthermore, we proved that cell mineralization was weakened when p38, Akt inhibitors were applied and strengthened when the Erk1/2 pathway was inhibited. In summary, Ckip-1 is upregulated underP. gingivalis-induced inflammation and negatively regulates cementoblast mineralization partially through mitogen-activated protein kinases and Akt signaling pathways, which may contribute to the restoration of cementum destroyed by P. gingivalis.
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Zhang Y, Zhao S, Luo S, Cao Z, Zhang Y, Xu Q, Chen G. Molecular characterisation and function analysis of NOD1 gene from Yangzhou goose ( Anser cygnoides domesticus). Br Poult Sci 2021; 63:316-323. [PMID: 34558366 DOI: 10.1080/00071668.2021.1983918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
1. NOD1 is a significant member of the NOD-like receptor (NLR) family. Its main role is to identify microorganisms that invade the body, transmit immune signals and regulate innate immune responses. However, the expression and role of the NOD1 in immune defence against infection in geese remain unknown.2. The RT-PCR method and rapid amplification of cDNA ends (RACE) was used to obtain the full-length goose NOD1 (gNOD1) cDNA series. The cDNA for gNOD1 contains 2856-bp nucleotides, i.e. 47-bp 5' UTR, 135-bp 3' UTR, and 1275-bp ORF region, and encodes a 951-amino-acids (AAs) polypeptide chain. The nucleotide sequence of gNOD1 was found more than 90% similar to its homologs from other avian organisms.3. The qRT-PCR results showed that gNOD1 mRNA was widely distributed in different tissues, but highly expressed in liver, spleen, lung and caecum tissues.4. Following stimulation of goose embryo fibroblasts (GEFs) with lipopolysaccharide (LPS) and polyriboinosinic polyribocytidylic acid (poly(I:C)), the expression of gNOD1 and cytokines, such as IL-1β, IL-6, IL-18, and TNF-α, changed with the response-efficacy correlation at 24 and 48 h post-infection (hpi).5. When the goslings were challenged with Salmonella entertidis (SE) and LPS, the expression of gNOD1 was up-regulated at 3 and 6 hpi in the spleen and caecum tissues, respectively. However, after SE infection, the expression level of gNOD1 fluctuated, while in the LPS group, gNOD1 mRNA increased immediately at a peak time of 6 hpi and then steadily declined. These results indicated that NOD1 was associated with the potency to resist bacterial and viral infections in the goose, both in vivo and in vitro.
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Lowen C, Schott L, Miranowski M, Baumer D, Henrikson A, Cao Z, Torres KA. Utility of peptide-based diets in critically ill patients. Clin Nutr ESPEN 2021. [DOI: 10.1016/j.clnesp.2021.09.543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Cao Z, Cen HB, Wei JG, Qin LZ, Liao W, Ao QL. [Expression of CD200 and INSM1 in gastrointestinal and pancreatic neuroendocrine neoplasms and its diagnostic values]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2021; 50:1134-1138. [PMID: 34619866 DOI: 10.3760/cma.j.cn112151-20210209-00144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the expression and diagnostic values of CD200 and insulinoma associated protein 1 (INSM1) in gastrointestinal and pancreatic neuroendocrine neoplasm (GIP-NEN). Methods: The expression of CD200, INSM1, Syn and CgA was detected in 69 cases of GIP-NEN, 66 cases of gastrointestinal and pancreatic non-neuroendocrine neoplasm (GIP-nonNEN) and 16 cases of metastatic neuroendocrine neoplasm by immunohistochemistry, to compare the values of CD200, INSM1, Syn, CgA and their combinations in diagnosing GIP-NEN. Receiver operating characteristics (ROC) curve was used. Results: The immunoreactivity of CD200 was present in the cytoplasma and/or membrane of the neoplasms cells, the positive expression rates in GIP-NEN and GIP-nonNEN were significantly different (P<0.01). The sensitivity and specificity of CD200 for diagnosing GIP-NEN were 95.7% and 78.8%, respectively. There was significant difference of the positive rates of CD200 between neuroendocrine tumor and neuroendocrine carcinoma (P=0.05). The immunoreactivity of INSM1 was present in the nuclei of neoplasms cells. The positive expression rates in GIP-NEN and GIP-nonNEN were significantly different (P<0.01). The sensitivity and specificity of INSM1 for diagnosis of GIP-NEN were 85.5% and 95.5%, respectively. There were also significantly different positive rates of INSM1 between neuroendocrine tumor and neuroendocrine carcinoma, as well as between G1 and G3 neuroendocrine tumors (P<0.05). There was no difference in the area under ROC curve (AUC) of single stain of CD200, INSM1, Syn or CgA (0.857, 0.907, 0.890 and 0.833, respectively, P>0.05). The sensitivity of combined CD200+INSM1 stains for diagnosing GIP-NEN was significantly higher than that of Syn+CgA (85.5% vs. 63.8%, P<0.05). The AUC of two combinations were 0.962 and 0.925, respectively, which were not statistically different (P>0.05). Conclusions: CD200 and INSM1 are two novel markers of neuroendocrine neoplasm, which aid to diagnosis for GIP-NEN and exclude its mimickers. They are associated with tumor grades. Combining both as an immunohistochemical panel shows high sensitivity and specificity. Thus, the combined panel can be utilized as useful supplement for Syn and CgA.
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Hu X, Tian R, Wang K, Cao Z, Yan P, Li F, Li X, Li S, He P. The prokaryotic community, physicochemical properties and flavors dynamics and their correlations in fermented grains for Chinese strong-flavor Baijiu production. Food Res Int 2021; 148:110626. [PMID: 34507770 DOI: 10.1016/j.foodres.2021.110626] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 07/16/2021] [Accepted: 07/19/2021] [Indexed: 10/20/2022]
Abstract
Fermented grain (FG), a complex and unique ecosystem, is the main microbial habitats, biochemical reaction system and direct source of flavor compounds for the Chinese strong-flavor Baijiu (CSFB) production. However, the dynamics of physicochemical properties, prokaryotic community and flavor compounds of FGs during the long-term fermentation process are still not completely clear. Here, the above topics on FGs in the actual production process were comprehensively studied by using a combination of physicochemical analysis, GC-MS detection and Illumina HiSeq sequencing methods. The whole fermentation process could be divided into two stages including early (0-25d) and the later stage (25-60d) based on the dynamics of FG physicochemical properties and the changes of prokaryotic community diversity. A total of 41phyla and 364 genera were detected, and 9 of them were dominant genera in FG complex ecosystem, including Lactobacillus, Pediococcus, Ochrobactrum, Bacillus etc. Among them, the dynamics of 29 top10 genera in FGs were mainly influenced by the starch and total acid, followed by NH4+ and ethanol, and 7 genera (hubs, e.g., Clostridium, Methanosaeta, Bacillus, etc.) of them may play important roles in FG ecosystem stability. A total of 71 volatiles including 33 esters, 14 alcohols, 9 fatty acids, 5 phenols, and 10 other compounds were detected in the FGs, and most of them formed in the early stage. Some important flavor substances (e.g., ethyl octanoate, 3-methylbutanol, hexanoate, etc.) increased in the later stage. Moreover, the formation of some flavor compound might require multiple microbes involved. For instance, ten of the top10 genera, including Lactobacillus, Clostridium, Methanosarcina, Sedimentibacter, Bacillus, etc., were significantly and positively correlated with four important esters. This study may help to clarify the complex correlations among prokaryotic community, physicochemical properties and flavors, allow the improvement of CSFB quality by using bioaugmentation and/or controlling environmental factors, and shed more light on the ecological rules guiding community assembly in FGs.
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Aharonian F, An Q, Axikegu, Bai LX, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai H, Cai JT, Cao Z, Cao Z, Chang J, Chang JF, Chang XC, Chen BM, Chen J, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen XL, Chen Y, Cheng N, Cheng YD, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Volpe DD, Piazzoli BD, Dong XJ, Fan JH, Fan YZ, Fan ZX, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng YL, Gao B, Gao CD, Gao Q, Gao W, Ge MM, Geng LS, Gong GH, Gou QB, Gu MH, Guo JG, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He JC, He SL, He XB, He Y, Heller M, Hor YK, Hou C, Hou X, Hu HB, Hu S, Hu SC, Hu XJ, Huang DH, Huang QL, Huang WH, Huang XT, Huang Y, Huang ZC, Ji F, Ji XL, Jia HY, Jiang K, Jiang ZJ, Jin C, Kuleshov D, Levochkin K, Li BB, Li C, Li C, Li F, Li HB, Li HC, Li HY, Li J, Li K, Li WL, Li X, Li X, Li XR, Li Y, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JS, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu YN, Liu ZX, Long WJ, Lu R, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Masood A, Mitthumsiri W, Montaruli T, Nan YC, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Ruffolo D, Rulev V, Sáiz A, Shao L, Shchegolev O, Sheng XD, Shi JR, Song HC, Stenkin YV, Stepanov V, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang ZB, Tian WW, Wang BD, Wang C, Wang H, Wang HG, Wang JC, Wang JS, Wang LP, Wang LY, Wang RN, Wang W, Wang W, Wang XG, Wang XJ, Wang XY, Wang YD, Wang YJ, Wang YP, Wang Z, Wang Z, Wang ZH, Wang ZX, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu WX, Wu XF, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao G, Xiao HB, Xin GG, Xin YL, Xing Y, Xu DL, Xu RX, Xue L, Yan DH, Yang CW, Yang FF, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Zeng HD, Zeng TX, Zeng W, Zeng ZK, Zha M, Zhai XX, Zhang BB, Zhang HM, Zhang HY, Zhang JL, Zhang JW, Zhang L, Zhang L, Zhang LX, Zhang PF, Zhang PP, Zhang R, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang Y, Zhang Y, Zhang YF, Zhang YL, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zheng Y, Zhou B, Zhou H, Zhou JN, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X. A dynamic range extension system for LHAASO WCDA-1. RADIATION DETECTION TECHNOLOGY AND METHODS 2021. [DOI: 10.1007/s41605-021-00275-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Xu CY, Ye HW, Chen B, Wu YF, Cao Z, Ding Z, Yao YP, Gao Y, Li J, Zhu JJ, He S. Analysis of risk factors and prognosis of post-stroke pulmonary infection in integrated ICU. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:856-865. [PMID: 33577040 DOI: 10.26355/eurrev_202101_24654] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The incidence of SAP (stroke-associated pneumonia) is high in integrated ICU (Intensive Care Unit), and it might result in sepsis, which exacerbates the clinical outcome and increases mortality. It is necessary to investigate the epidemiological features of post-stroke infection and sepsis, identify the risk factors and analyze the prognosis. PATIENTS AND METHODS We retrospectively analyzed the data of 329 patients with cerebral infarction or cerebral hemorrhage, from seven tertiary university hospitals in Suzhou, Jiangsu Province, between January 1, 2016, and December 31, 2016. Basic demographic and clinical data including common health evaluation, stroke severity, microbiological parameters, surgical interventions and treatments were recorded for the analysis. SAP was diagnosed according to the criteria and recommendation from American Heart Association (AHA). RESULTS 188 (66.4%) patients suffered pneumonia, 124 patients were diagnosed as SAP. Compared with SAP, patients with non-SAP pulmonary infection had prolonged mechanical ventilation time, prolonged central venous catheter indwelling time, and higher incidence of sepsis (17.7% vs. 48.4%). 53 patients (18.7%) developed sepsis during hospitalization, whose mortality rate during hospitalization and the occurrence of neurologic dysfunction at 3 months were significantly increased (p<0.05). 130 positive results of sputum cultures were found. The detected pathogens were mainly gram-negative bacteria. The pathogenic detection rate of non-SAP patients with pulmonary infection was higher (78.1%). The in-hospital mortality was 16.3% and the related risk factors were higher NIHSS score at admission, lower GCS score at admission, pulmonary infection (especially non-SAP pulmonary infection) and sepsis during hospitalization. CONCLUSIONS The incidence of pulmonary infection after stroke in the integrated ICU is high, and it is easy to be complicated with sepsis, prolonging the mechanical ventilation time, central venous catheter indwelling time and hospitalization time, and the prognosis of long-term neurological function is relatively poor. The definition of stroke-associated pneumonia has implications for the classification of clinical infections, the prediction of possible pathogenic pathogens, and the guidance of anti-infective treatment.
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Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams A, Adams C, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Aleman KM, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Aronson SM, Asada H, Asali Y, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Auclair P, Aufmuth P, AultONeal K, Austin C, Babak S, Badaracco F, Bader MKM, Bae S, Bae Y, Baer AM, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer SW, Bals M, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Benjamin MG, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bhandari AV, Bhattacharjee D, Bhaumik S, Bidler J, Bilenko IA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Cadonati L, Caesar M, Cagnoli G, Cahillane C, Cain HW, Calderón Bustillo J, Callaghan JD, Callister TA, Calloni E, Camp JB, Canepa M, Cannavacciuolo M, Cannon KC, Cao H, Cao J, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carullo G, Carver TL, Casanueva Diaz J, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Champion B, Chan CH, Chan C, Chan CL, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Chen A, Chen C, Chen HY, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiang CY, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choate S, Choudhary RK, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Cohadon PF, Cohen DE, Cohen L, Colleoni M, Collette CG, Colpi M, Compton CM, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Cousins B, Couvares P, Covas PB, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Criswell AW, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cuoco E, Curyło M, Canton TD, Dálya G, Dana A, DaneshgaranBajastani LM, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Daw EJ, Dean R, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi LM, De Matteis F, D'Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz MC, Diaz-Ortiz M, Didio NA, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di 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AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevd.97.102002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 05/21/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams A, Adams C, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Aleman KM, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Aronson SM, Asada H, Asali Y, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Auclair P, Aufmuth P, AultONeal K, Austin C, Babak S, Badaracco F, Bader MKM, Bae S, Bae Y, Baer AM, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer SW, Bals M, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, 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AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevlett.126.241102] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 06/13/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Aharonian F, An Q, Bai LX, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai H, Cai JT, Cao Z, Cao Z, Chang J, Chang JF, Chang XC, Chen BM, Chen J, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen XL, Chen Y, Cheng N, Cheng YD, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Della Volpe D, D'Ettorre Piazzoli B, Dong XJ, Fan JH, Fan YZ, Fan ZX, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng YL, Gao B, Gao CD, Gao Q, Gao W, Ge MM, Geng LS, Gong GH, Gou QB, Gu MH, Guo JG, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He JC, He SL, He XB, He Y, Heller M, Hor YK, Hou C, Hou X, Hu HB, Hu S, Hu SC, Hu XJ, Huang DH, Huang QL, Huang WH, Huang XT, Huang ZC, Ji F, Ji XL, Jia HY, Jiang K, Jiang ZJ, Jin C, Kuleshov D, Levochkin K, Li BB, Li C, Li C, Li F, Li HB, Li HC, Li HY, Li J, Li K, Li WL, Li X, Li X, Li XR, Li Y, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JS, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu YN, Liu ZX, Long WJ, Lu R, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Masood A, Mitthumsiri W, Montaruli T, Nan YC, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Ruffolo D, Rulev V, Sáiz A, Shao L, Shchegolev O, Sheng XD, Shi JR, Song HC, Stenkin YV, Stepanov V, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang ZB, Tian WW, Wang BD, Wang C, Wang H, Wang HG, Wang JC, Wang JS, Wang LP, Wang LY, Wang RN, Wang W, Wang W, Wang XG, Wang XJ, Wang XY, Wang YD, Wang YJ, Wang YP, Wang Z, Wang Z, Wang ZH, Wang ZX, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu WX, Wu XF, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao G, Xiao HB, Xin GG, Xin YL, Xing Y, Xu DL, Xu RX, Xue L, Yan DH, Yang CW, Yang FF, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Zeng HD, Zeng TX, Zeng W, Zeng ZK, Zha M, Zhai XX, Zhang BB, Zhang HM, Zhang HY, Zhang JL, Zhang JW, Zhang L, Zhang L, Zhang LX, Zhang PF, Zhang PP, Zhang R, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang Y, Zhang Y, Zhang YF, Zhang YL, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zheng Y, Zhou B, Zhou H, Zhou JN, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X, Huang XY. Extended Very-High-Energy Gamma-Ray Emission Surrounding PSR J0622+3749 Observed by LHAASO-KM2A. PHYSICAL REVIEW LETTERS 2021; 126:241103. [PMID: 34213924 DOI: 10.1103/physrevlett.126.241103] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/23/2021] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
We report the discovery of an extended very-high-energy (VHE) gamma-ray source around the location of the middle-aged (207.8 kyr) pulsar PSR J0622+3749 with the Large High-Altitude Air Shower Observatory (LHAASO). The source is detected with a significance of 8.2σ for E>25 TeV assuming a Gaussian template. The best-fit location is (right ascension, declination) =(95.47°±0.11°,37.92°±0.09°), and the extension is 0.40°±0.07°. The energy spectrum can be described by a power-law spectrum with an index of -2.92±0.17_{stat}±0.02_{sys}. No clear extended multiwavelength counterpart of the LHAASO source has been found from the radio to sub-TeV bands. The LHAASO observations are consistent with the scenario that VHE electrons escaped from the pulsar, diffused in the interstellar medium, and scattered the interstellar radiation field. If interpreted as the pulsar halo scenario, the diffusion coefficient, inferred for electrons with median energies of ∼160 TeV, is consistent with those obtained from the extended halos around Geminga and Monogem and much smaller than that derived from cosmic ray secondaries. The LHAASO discovery of this source thus likely enriches the class of so-called pulsar halos and confirms that high-energy particles generally diffuse very slowly in the disturbed medium around pulsars.
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Feng S, Han L, Yue M, Zhong D, Cao J, Guo Y, Sun Y, Zhang H, Cao Z, Cui X, Liu R. Frequency detection of BRAF V600E mutation in a cohort of pediatric langerhans cell histiocytosis patients by next-generation sequencing. Orphanet J Rare Dis 2021; 16:272. [PMID: 34116682 PMCID: PMC8196454 DOI: 10.1186/s13023-021-01912-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/07/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Langerhans cell histiocytosis (LCH) is a rare neoplastic disease that occurs in both children and adults, and BRAF V600E is detected in up to 64% of the patients. Several studies have discussed the associations between BRAF V600E mutation and clinicopathological manifestations, but no clear conclusions have been drawn regarding the clinical significance of the mutation in pediatric patients. RESULTS We retrieved the clinical information for 148 pediatric LCH patients and investigated the BRAF V600E mutation using next-generation sequencing alone or with droplet digital PCR. The overall positive rate of BRAF V600E was 60/148 (41%). The type of sample (peripheral blood and formalin-fixed paraffin-embedded tissue) used for testing was significantly associated with the BRAF V600E mutation status (p-value = 0.000 and 0.000). The risk of recurrence declined in patients who received targeted therapy (p-value = 0.006; hazard ratio 0.164, 95%CI: 0.046 to 0.583). However, no correlation was found between the BRAF V600E status and gender, age, stage, specific organ affected, TP53 mutation status, masses close to the lesion or recurrence. CONCLUSIONS This is the largest pediatric LCH study conducted with a Chinese population to date. BRAF V600E in LCH may occur less in East Asian populations than in other ethnic groups, regardless of age. Biopsy tissue is a more sensitive sample for BRAF mutation screening because not all of circulating DNA is tumoral. Approaches with low limit of detection or high sensitivity are recommended for mutation screening to avoid type I and II errors.
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Duan X, Liu X, Wang G, Gu W, Xu M, Hao Y, Dong M, Sun Q, Sun S, Chen Y, Wang W, Li J, Zhang Y, Cao Z, Fan D, Wang R, Da Y. Characterization of genotype-phenotype correlation with MORC2 mutated Axonal Charcot-Marie-Tooth disease in a cohort of Chinese patients. Orphanet J Rare Dis 2021; 16:244. [PMID: 34059105 PMCID: PMC8166055 DOI: 10.1186/s13023-021-01881-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 05/21/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Charcot-Marie-Tooth (CMT) disease is an exciting field of study, with a growing number of causal genes and an expanding phenotypic spectrum. The microrchidia family CW-type zinc finger 2 gene (MORC2) was newly identified as a causative gene of CMT2Z in 2016. We aimed to describe the phenotypic-genetic spectrum of MORC2-related diseases in the Chinese population. METHODS With the use of Sanger sequencing and Next Generation Sequencing (NGS) technologies, we screened a cohort of 284 unrelated Chinese CMT2 families. Pathogenicity assessments of MORC2 variants were interpreted according to the ACMG guidelines. Potential pathogenic variants were confirmed by Sanger sequencing. RESULTS We identified 4 different heterozygous MORC2 mutations in four unrelated families, accounting for 1.4% (4/284). A novel mutation c.1397A>G p. D466G was detected in family 1 and all affected patients presented with later onset axonal CMT with hyperCKemia. The patient in family 2 showed a spinal muscular atrophy (SMA)-like disease with cerebellar hypoplasia and mental retardation, with a hot spot de novo mutation c.260C>T p. S87L. The twin sisters in family 3 were identified as having the most common mutation c.754C>T p. R252W and suffered from axonal motor neuropathy with high variability in disease severity and duration. The patient in family 4 developed an early onset axonal motor and sensory neuropathy, with a reported mutation c.1220G>A p.C407Y. All identified mutations associated with MORC2-related neuropathies are localized in the N-terminal ATPase module. CONCLUSIONS Our study confirmed that MORC2-related neuropathies exist in the Chinese population at a relatively high mutation rate. We revealed a complex genotype-phenotype correlation with MORC2 mutations. This report adds a new piece to the puzzle of the genetics of CMT and contributes to a better understanding of the disease mechanisms.
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Cao Z, Xiong X, Yang Q. [Establishment of naive Bayes classifier-based risk prediction model for chemotherapyinduced nausea and vomiting]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2021; 41:607-612. [PMID: 33963723 DOI: 10.12122/j.issn.1673-4254.2021.04.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To establish a risk prediction model of chemotherapy-induced nausea and vomiting based on naive Bayes classifier. OBJECTIVE We collected the basic information, treatment protocols and follow-up data from 300 patients receiving chemotherapy in the Oncology Department of Second Xiangya Hospital from July to September, 2020. Correlation analysis was carried out between the potential factors related to nausea and vomiting in the treatment plan and the individual characteristics of the patients. For the two characteristics with a correlation coefficient greater than 0.8, their contribution to the area under curve (AUC) was calculated, and the characteristic with a smaller contribution was removed. The naive Bayes classifier in the machine learning library scikit-learn was used as the prediction model of chemotherapy-induced nausea and vomiting, and 10-fold stratified-shuffled-split cross-validation was used to obtain the final result of the model. The machine learning model was trained using 70% of the samples, and 30% of the samples were used as the test set to assess the performance of the model. OBJECTIVE The sensitivity of the model for predicting the risk of nausea and vomiting due to acute chemotherapy was 0.83±0.04 (95%CI: 0.80-0.86) with a specificity of 0.45±0.03 (95%CI: 0.42-0.47) and an AUC of 0.72±0.04 (95% CI: 0.69-0.75). The sensitivity of the model for predicting the risk of delayed chemotherapy-induced nausea and vomiting was 0.84±0.01 (95%CI: 0.83-0.86) with a specificity of 0.48±0.03 (95%CI: 0.45-0.52) and an AUC of 0.74±0.02 (95%CI: 0.72-0.77). OBJECTIVE The naive Bayes classifier model has a good performance in predicting the risk of chemotherapy-induced nausea and vomiting in Chinese cancer patients.
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Zhao J, Hou Y, Fang F, Ding C, Yang X, Li J, Cui D, Cao Z, Zhang H. Novel truncating mutations in ASXL1 identified in two boys with Bohring-Opitz syndrome. Eur J Med Genet 2021; 64:104155. [PMID: 33529703 DOI: 10.1016/j.ejmg.2021.104155] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 11/17/2020] [Accepted: 01/25/2021] [Indexed: 01/04/2023]
Abstract
Bohring-Opitz syndrome (BOS, or BOPS) is a rare congenital genetic disorder with multisystem abnormalities characterized by significant craniofacial dysmorphism, feeding difficulties, severe developmental delay, profound intellectual disability, flexion of elbows with ulnar deviation, and flexion of the wrists and metacarpophalangeal joints. Here, we report two Chinese BOS patients with distinctive phenotypes caused by novel truncating mutations. One was a boy aged 5 years 9 months who had a novel c.1049G>A/p.Trp350* mutation in ASXL1 and displayed relatively mild BOS symptoms with autism features. The other was a 16-month-old boy who carried a novel c.2689delC/p.His897Ilefs*11 mutation and displayed typical BOS symptoms. New cases with novel mutations, along with a detailed clinical and molecular analysis are important for a better diagnosis and understanding of BOS.
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Cao Z, Tafti D, Shahnam M. Modeling drag force in ellipsoidal particle suspensions with preferential orientation. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.09.067] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Tao Z, Cao Z, Wang X, Pan D, Jia Q. Long noncoding RNA SNHG14 regulates ox-LDL-induced atherosclerosis cell proliferation and apoptosis by targeting miR-186-5p/WIPF2 axis. Hum Exp Toxicol 2021; 40:47-59. [PMID: 32735135 DOI: 10.1177/0960327120940363] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
To investigate the role of small nucleolus RNA host gene 14 (SNHG14) in the progression of atherosclerosis (AS), bioinformatics analysis, and other relevant experiments (cell counting kit-8, flow cytometry, quantitative real-time polymerase chain reaction, luciferase reporter, RNA immunoprecipitation, RNA pull-down, and western blot assays) were done. The current study revealed that SNHG14 level was high in the serum of AS patients and oxidized low-density lipoprotein (ox-LDL)-induced AS cell lines. Besides, we found that SNHG14 accelerated cell proliferation while inhibited cell apoptosis in ox-LDL-induced AS cell lines. Next, SNHG14 was confirmed to be a sponge for miR-186-5p in AS cells, and it was validated that SNHG14 regulated AS cell proliferation and apoptosis by sponging miR-186-5p. Moreover, we uncovered that WAS-interacting protein family member 2 (WIPF2) was a downstream target of miR-186-5p in AS cells. Finally, it was demonstrated that miR-186-5p modulated AS cell proliferation and apoptosis via targeting WIPF2. To conclude, our research disclosed that SNHG14 affected ox-LDL-induced AS cell proliferation and apoptosis through miR-186-5p/WIPF2 axis, which may provide a theoretical basis for the treatment and diagnosis of AS.
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Fan R, Cao Z, Chen M, Wang H, Liu M, Gao M, Luan X. Effects of the FABP4 gene on steroid hormone secretion in goose ovarian granulosa cells. Br Poult Sci 2020; 62:81-91. [PMID: 32875818 DOI: 10.1080/00071668.2020.1817325] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
1. To investigate the physiological role of FABP4 in the goose ovary, this study determined the effects of overexpressing and siRNA interfering FABP4 on progesterone (P4) and oestradiol (E2) production in granulosa cells. Measurements were made by ELISA, real-time qRT-PCR and western blotting. 2. The concentrations of P4 and E2 in the FABP4 overexpression granulosa cells were increased compared to the control group (P > 0.05 for P4; P < 0.05 for E2). Likewise, the mRNA and protein expression levels of CYP11A1 and CYP19A1 were significantly higher than in the control group (P < 0.05 or P < 0.001). Conversely, the concentrations of P4 and E2 in the FABP4 silencing granulosa cells were significantly decreased compared with the control group (P < 0.001). Likewise, the mRNA and protein expression levels of CYP11A1 and CYP19A1 were significantly lower than in the control group (P < 0.001, or P < 0.01). 3. The study indicated that the FABP4 gene may regulate steroid hormone secretion and the expression of the steroidogenic genes in geese ovarian granulosa cells. These results support the possibility that the FABP4 gene mediates ovarian steroid hormone biosynthesis function and reproduction in geese.
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