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Wang S, Li SM, Wu X, Zhu H, Wang QM. [Crizotinib treatment for a lung adenocarcinoma patient with anaplastic lymphoma kinase gene rearrangement and disseminated intravascular coagulation]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2021; 43:1195-1196. [PMID: 34794223 DOI: 10.3760/cma.j.cn112152-20200611-00549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Gao F, Yang Y, Zhu H, Wang J, Xiao D, Zhou Z, Dai T, Zhang Y, Feng G, Li J, Lin B, Xie G, Ke Q, Zhou K, Li P, Sheng X, Wang H, Yan L, Lao C, Shan L, Li M, Lu Y, Chen M, Feng S, Zhao J, Wu D, Du X. First Demonstration of the FLASH Effect With Ultrahigh Dose-Rate High-Energy X-Rays. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.101] [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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Ren K, Zou L, Wang T, Li X, Zhu H, Sun S, Jin M, Zhang F, Hou X, Wei L, Hu K. Long-Term Outcome and Failure Patterns in Early-Stage Endometrial Cancer After Postoperative Adjuvant Radiotherapy: A Multi-Institutional Analysis Update Data. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Sun S, Zou L, Wang T, Liu Z, He J, Sun X, Zhong W, Zhao F, Li X, Li S, Zhu H, Ma Z, Wang W, Meng J, Zhang F, Hou X, Wei L, Hu K. Age ≥60 y May Not be an Appropriate Adverse Risk Factor in Adjuvant Treatment of Patients With Early-Stage Endometrial Carcinoma: A Multi-Institutional Analysis in China. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Ali H, Mai B, Wahed A, Nguyen A, Liu J, Zhu H. A Diagnostic Pitfall in the Evaluation of CD138-Positive Plasmacytoid Cells in a Fine Needle Aspiration Biopsy. Am J Clin Pathol 2021. [DOI: 10.1093/ajcp/aqab191.179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction/Objective
The identification of plasmacytoid cells on rapid assessment leads to a wide range of differential diagnoses.
Methods/Case Report
We present a 51-year-old female with a parotid mass and cervical lymphadenopathy. The fine needle aspiration biopsy of the lymph node showed clusters of plasmacytoid cells. Flow cytometric studies showed cells positive for CD19, CD45, CD138 and kappa, but negative for CD38 and lambda. The kappa to lambda ratio was greater than 100. Histological sections showed plasmacytoid cells that were positive for AE1/AE3, S100, and SOX10, weakly positive for CK7 and GATA3, but negative for CD79a, CD45, EMA, p40, p63, and pan-melanoma markers. Kappa and lambda had a 1:1 ratio. Due to the discrepancy between the flow cytometric results and the immunohistochemistry, excision was recommended. The subsequent excision specimen showed classic morphology for myoepithelial carcinoma, plasmacytoid variant.
Results (if a Case Study enter NA)
NA
Conclusion
Myoepithelial carcinomas of the salivary glands are rare neoplasms, and they have various morphologies. The plasmacytoid variant can pose as a diagnostic pitfall. In fine needle aspiration biopsies, carcinoma cells with plasmacytoid morphology can be confused with a plasma cell neoplasm. CD138 is nonspecific marker, and it can be expressed in plasma cells as well as carcinomas. To further complicate matters, pancytokeratin and SOX10 can aberrantly expressed in some plasma cell myelomas. Flow cytometry studies is a valuable tool to define various cell types. However, it can be misleading if it is used as a sole source for interpreting plasmacytoid cells. Epithelial and myoepithelial neoplasms should be considered as differential diagnoses when CD138-positive plasmacytoid cells are encountered. Extended immunohistochemistry panel including multiple epithelial and myoepithelial markers play pivotal role in settling the diagnosis.
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Wang K, Zhu H, Yang L, Xu Q, Ren F, Liu X. [Inhibition of the Notch1/Jagged1 pathway promotes homing of bone mesenchymal stem cells to improve asthma in rats]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2021; 41:1464-1472. [PMID: 34755661 DOI: 10.12122/j.issn.1673-4254.2021.10.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To explore the association of the Notch1/Jagged1 pathway with the homing of mesenchymal stem cells (BMSCs) to regulate Th1/Th2 drift in asthma. METHODS Twenty SD rats were randomly divided into normal control group, model group, BMSC transplantation group, and BMSC+Notch inhibitor group. Ovalbumin sensitization was used to establish rat models of asthma, and BMSCs were transplanted via the tail vein. The pathology of the lung tissue was examined with HE staining, and the contents of interleukin (IL)-5, IL-13, and interferon-γ (IFN-γ) in lung tissue homogenate were determined with enzyme-linked immunosorbent assay. The expressions of Notch1 and Jagged1 mRNA were detected with RT-PCR, and CXCR4 expression in the bronchial epithelial cells was examined using immunofluorescence staining; Western blotting was used to detect the protein expressions of T-bet, GATA-3, Notch1, and Jagged1 in the lung tissue. RESULTS Compared with those in the control group, the expressions of IFN-γ and T-bet proteins decreased significantly and the pulmonary expressions of IL-5, IL-13, and GATA-3 proteins as well as Notch1 and Jagged1 mRNA and protein expressions all increased significantly in the model group (P < 0.05 or 0.01). Compared with those in the model group, CXCR4, IFN-γ, and T-bet protein expressions in BMSC group and BMSCs+Notch inhibitor group all increased significantly, and Notch1 and Jagged1 protein expressions in BMSCs group and IL-5, IL-13, Notch1, and Jagged1 mRNA and protein expressions in BMSCs + Notch inhibitor group all decreased significantly (P < 0.05 or 0.01). The expressions of CXCR4 and IFN-γ were significantly higher and the expressions of IL-13 and Notch1 mRNA were significantly lower in BMSCs+Notch inhibitor group than in BMSC group (P < 0.05). CONCLUSION In asthmatic rats, the homing of the BMSCs to the lung tissue has a regulatory effect on Th1/Th2 drift, and the Notch1/Jagged1 pathway may participate in the homing of the BMSCs.
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Hirabayashi T, Yasuhara S, Shoji S, Yamaguchi A, Abe H, Ueda S, Zhu H, Kondo T, Miyauchi M. Fabrication of Hydrogen Boride Thin Film by Ion Exchange in MgB 2. Molecules 2021; 26:molecules26206212. [PMID: 34684790 PMCID: PMC8540303 DOI: 10.3390/molecules26206212] [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: 09/11/2021] [Revised: 10/04/2021] [Accepted: 10/09/2021] [Indexed: 11/16/2022] Open
Abstract
In this study, hydrogen boride films are fabricated by ion-exchange treatment on magnesium diboride (MgB2) films under ambient temperature and pressure. We prepared oriented MgB2 films on strontium titanate (SrTiO3) substrates using pulsed laser deposition (PLD). Subsequently, these films were treated with ion exchangers in acetonitrile solution. TOF-SIMS analysis evidenced that hydrogen species were introduced into the MgB2 films by using two types of ion exchangers: proton exchange resin and formic acid. According to the HAXPES analysis, negatively charged boron species were preserved in the films after the ion-exchange treatment. In addition, the FT-IR analysis suggested that B-H bonds were formed in the MgB2 films following the ion-exchange treatment. The ion-exchange treatment using formic acid was more efficient compared to the resin treatment; with respect to the amount of hydrogen species introduced into the MgB2 films. These ion-exchanged films exhibited photoinduced hydrogen release as observed in a powder sample. Based on the present study, we expect to be able to control the morphology and hydrogen content of hydrogen boride thin films by optimising the ion-exchange treatment process, which will be useful for further studies and device applications.
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Zhang MN, Li MT, Zhi XY, Zhu H, Zhang X, Xie J. [Trends of a burden on atherosclerotic cardiovascular disease and its related risk factors in China, 1990 to 2019]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2021; 42:1797-1803. [PMID: 34814614 DOI: 10.3760/cma.j.cn112338-20201208-01390] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To quantitatively analyze the effects of population aging and other risk factors on the burden of atherosclerosis cardiovascular disease (ASCVD) in China from 1990 to 2019. Methods: Disability adjusted life years (DALY) and age-standardized rates obtained from the Global Burden of Disease Study 2019 (GBD2019) were used to describe the temporal trend of a burden on ASCVD. And a decomposition method established by Gupta was applied to quantify the burden related to population growth, aging, age-specific prevalence, and the severity of the disease. Results: In 2019, 61.00% of the burden of cardiovascular disease in China was caused by ASCVD. The DALY of ischemic heart disease increased by 133.66% compared with that in 1990, with 29.57% of the increase attributed to population growth, 108.74% due to population aging, and 8.87% due to the rise of age-specific prevalence and -13.53% benefited from changes in disease severity. The DALY of ischemic stroke increased by 138.64% compared with 1990, and the proportions attributable to the above four parts were 30.95%, 123.38%, 55.80%, and -71.49%, respectively. Hypertension remained the leading risk factor for ASCVD in 2019, followed by high LDL cholesterol. The age-standardized DALY rate attributable to drinking had the most significant increase (486.01%) from 1990, with an average annual growth of 10.93%. Conclusions: Aging population seems responsible for the main reason for the considerable increase in the burden of ASCVD in China. Still, the adverse trends of other avoidable risk factors, especially metabolic risk factors, can not be ignored.
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Duan MY, Zhu H, Wang H, Guo SY, Li H, Jiang LL, Li XT, Xie G, Ren BZ. Effects of water deficiency on preference and performance of an insect herbivore Ostrinia furnacalis. BULLETIN OF ENTOMOLOGICAL RESEARCH 2021; 111:595-604. [PMID: 33998414 DOI: 10.1017/s0007485321000407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
With further climate change still expected, it is predicted to increase the frequency with plants will be water stressed, which subsequently influences phytophagous insects, particularly Lepidoptera with limited mobility of larvae. Previous studies have indicated that oviposition preference and offspring performance of Lepidoptera insects are sensitive to drought separately. However, the integration of their two properties is not always seen. Here, we evaluated changes in oviposition selection and offspring fitness of a Lepidoptera insect under three water-stressed treatments using a model agroecosystem consisting of maize Zea mays, and Asian corn borer Ostrinia furnacalis. Results found that female O. furnacalis preferred to laying their eggs on well-watered maize, and then their offspring tended to survive better, attained bigger larvae mass, and developed more pupae and adults on the preferred maize. Oviposition selection of O. furnacalis positively correlated with height and leaf traits of maize, and offspring fitness positively related with water content and phytochemical traits of hosts. Overall, these results suggest that oviposition choice performed by O. furnacalis reflects the maximization of offspring fitness, supporting preference-performance hypothesis. This finding further highlights that the importance of simultaneous evaluation of performance and performance for water driving forces should be involved, in order to accurately predict population size of O. furnacalis under altered precipitation pattern.
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Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, Abramowicz H, Abreu H, Abulaiti Y, Abusleme Hoffman AC, Acharya BS, Achkar B, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Agarwala J, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Akbiyik M, Åkesson TPA, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Andrei V, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Aparisi Pozo JA, Aparo MA, Aperio Bella L, Aranzabal N, Araujo Ferraz V, Arcangeletti C, Arce ATH, Arena E, Arguin JF, Argyropoulos S, Arling JH, Armbruster AJ, Armstrong A, Arnaez O, Arnold H, Arrubarrena Tame ZP, Artoni G, Asada H, Asai K, Asai S, Asbah NA, Asimakopoulou EM, Asquith L, Assahsah J, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Atmasiddha PA, Augsten K, Auricchio S, Austrup VA, Avolio G, Ayoub MK, Azuelos G, Babal D, Bachacou H, Bachas K, Backman F, Badea A, Bagnaia P, Bahrasemani H, Bailey AJ, Bailey VR, Baines JT, Bakalis C, Baker OK, Bakker PJ, Bakos E, Bakshi Gupta D, Balaji S, Balasubramanian R, Baldin EM, Balek P, Ballabene E, Balli F, Balunas WK, Balz J, Banas E, Bandieramonte M, Bandyopadhyay A, Barak L, Barberio EL, Barberis D, Barbero M, Barbour G, Barends KN, Barillari T, Barisits MS, Barkeloo J, Barklow T, Barnett BM, Barnett RM, Baroncelli A, Barone G, Barr AJ, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barron U, Barsov S, Bartels F, Bartoldus R, Bartolini G, Barton AE, Bartos P, Basalaev A, Basan A, Bashta I, Bassalat A, Basso MJ, Basson CR, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Bauce M, Bauer F, Bauer P, Bawa HS, Bayirli A, Beacham JB, Beau T, Beauchemin PH, Becherer F, Bechtle P, Beck HP, Becker K, Becot C, Beddall AJ, Bednyakov VA, Bee CP, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beirao Da Cruz E Silva C, Beirer JF, Beisiegel F, Belfkir M, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belotskiy K, Belyaev NL, Benchekroun D, Benhammou Y, Benjamin DP, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Berge D, Bergeaas Kuutmann E, Berger N, Bergmann B, Bergsten LJ, Beringer J, Berlendis S, Bernardi G, Bernius C, Bernlochner FU, Berry T, Berta P, Berthold A, Bertram IA, Bessidskaia Bylund O, Bethke S, Betti A, Bevan AJ, Bhatta S, Bhattacharya DS, Bhattarai P, Bhopatkar VS, Bi R, Bianchi RM, Biebel O, Bielski R, Biesuz NV, Biglietti M, Billoud TRV, Bindi M, Bingul A, Bini C, Biondi S, Birch-Sykes CJ, Bird GA, Birman M, Bisanz T, Biswal JP, Biswas D, Bitadze A, Bittrich C, Bjørke K, Bloch I, Blocker C, Blue A, Blumenschein U, Bobbink GJ, Bobrovnikov VS, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Bomben M, Bona M, Boonekamp M, Booth CD, Borbély AG, Borecka-Bielska HM, Borgna LS, Borissov G, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Boudreau J, Bouhova-Thacker EV, Boumediene D, Bouquet R, Boveia A, Boyd J, Boye D, Boyko IR, Bozson AJ, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Breaden Madden WD, Brendlinger K, Brener R, Brenner L, Brenner R, Bressler S, Brickwedde B, Briglin DL, Britton D, Britzger D, Brock I, Brock R, Brooijmans G, Brooks WK, Brost E, Bruckman de Renstrom PA, Brüers B, Bruncko D, Bruni A, Bruni G, Bruschi M, Bruscino N, Bryngemark L, Buanes T, Buat Q, Buchholz P, Buckley AG, Budagov IA, Bugge MK, Bulekov O, Bullard BA, Burch TJ, Burdin S, Burgard CD, Burger AM, Burghgrave B, Burr JTP, Burton CD, Burzynski JC, Büscher V, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Buttinger W, Buxo Vazquez CJ, Buzykaev AR, Cabras G, Cabrera Urbán S, Caforio D, Cai H, Cairo VMM, Cakir O, Calace N, Calafiura P, Calderini G, Calfayan P, Callea G, Caloba LP, Caltabiano A, Calvente Lopez S, Calvet D, Calvet S, Calvet TP, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Camerlingo MT, Cameron D, Camincher C, Campanelli M, Camplani A, Canale V, Canesse A, Cano Bret M, Cantero J, Cao Y, Capua M, Carbone A, Cardarelli R, Cardillo F, Carducci G, Carli T, Carlino G, Carlson BT, Carlson EM, Carminati L, Carnesale M, Carney RMD, Caron S, Carquin E, Carrá S, Carratta G, Carter JWS, Carter TM, Casadei D, Casado MP, Casha AF, Castiglia EG, Castillo FL, Castillo Garcia L, Castillo Gimenez V, Castro NF, Catinaccio A, Catmore JR, Cattai A, Cavaliere V, Cavalli N, Cavasinni V, Celebi E, Celli F, Cerny K, Cerqueira AS, Cerri A, Cerrito L, Cerutti F, Cervelli A, Cetin SA, Chadi Z, Chakraborty D, Chala M, Chan J, Chan WS, Chan WY, Chapman JD, Chargeishvili B, Charlton DG, Charman TP, Chatterjee M, Chau CC, Chekanov S, Chekulaev SV, Chelkov GA, Chen A, Chen B, Chen C, Chen CH, Chen H, Chen H, Chen J, Chen J, Chen J, Chen S, Chen SJ, Chen X, Chen Y, Chen YH, Cheng CL, Cheng HC, Cheng HJ, Cheplakov A, Cheremushkina E, Cherkaoui El Moursli R, Cheu E, Cheung K, Chevalier L, Chiarella V, Chiarelli G, Chiodini G, Chisholm AS, Chitan A, Chiu I, Chiu YH, Chizhov MV, Choi K, Chomont AR, Chou Y, Chow YS, Christopher LD, Chu MC, Chu X, Chudoba J, Chwastowski JJ, Cieri D, Ciesla KM, Cindro V, Cioară IA, Ciocio A, Cirotto F, Citron ZH, Citterio M, Ciubotaru DA, Ciungu BM, Clark A, Clark PJ, Clavijo Columbie JM, Clawson SE, Clement C, Clissa L, Coadou Y, Cobal M, Coccaro A, Cochran J, Coelho Barrue RF, Coelho Lopes De Sa R, Coelli S, Cohen H, Coimbra AEC, Cole B, Collot J, Conde Muiño P, Connell SH, Connelly IA, Conroy EI, Conventi F, Cooke HG, Cooper-Sarkar AM, Cormier F, Corpe LD, Corradi M, Corrigan EE, Corriveau F, Costa MJ, Costanza F, Costanzo D, Cote BM, Cowan G, Cowley JW, Crane J, Cranmer K, Creager RA, Crépé-Renaudin S, Crescioli F, Cristinziani M, Cristoforetti M, Croft V, Crosetti G, Cueto A, Cuhadar Donszelmann T, Cui H, Cukierman AR, Cunningham WR, Czekierda S, Czodrowski P, Czurylo MM, De Sousa MJDCS, Da Fonseca Pinto JV, Da Via C, Dabrowski W, Dado T, Dahbi S, Dai T, Dallapiccola C, Dam M, D'amen G, D'Amico V, Damp J, Dandoy JR, Daneri MF, Danninger M, Dao V, Darbo G, Darmora S, Dattagupta A, D'Auria S, David C, Davidek T, Davis DR, Davis-Purcell B, Dawson I, De K, De Asmundis R, De Beurs M, De Castro S, De Groot N, de Jong P, De la Torre H, De Maria A, De Pedis D, De Salvo A, De Sanctis U, De Santis M, De Santo A, De Vivie De Regie JB, Dedovich DV, Degens J, Deiana AM, Del Peso J, Delabat Diaz Y, Deliot F, Delitzsch CM, Della Pietra M, Della Volpe D, Dell'Acqua A, Dell'Asta L, Delmastro M, Delsart PA, Demers S, Demichev M, Denisov SP, D'Eramo L, Derendarz D, Derkaoui JE, Derue F, Dervan P, Desch K, Dette K, Deutsch C, Deviveiros PO, Di Bello FA, Di Ciaccio A, Di Ciaccio L, Di Donato C, Di Girolamo A, Di Gregorio G, Di Luca A, Di Micco B, Di Nardo R, Diaconu C, Dias FA, Vale TDD, Diaz MA, Diaz Capriles FG, Dickinson J, Didenko M, Diehl EB, Dietrich J, Díez Cornell S, Diez Pardos C, Dimitrievska A, Ding W, Dingfelder J, Dinu IM, Dittmeier SJ, Dittus F, Djama F, Djobava T, Djuvsland JI, Do Vale MAB, Dodsworth D, Doglioni C, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D'onofrio A, D'Onofrio M, Dopke J, Doria A, Dova MT, Doyle AT, Drechsler E, Dreyer E, Dreyer T, Drobac AS, Du D, du Pree TA, Dubinin F, Dubovsky M, Dubreuil A, Duchovni E, Duckeck G, Ducu OA, Duda D, Dudarev A, D'uffizi M, Duflot L, Dührssen M, Dülsen C, Dumitriu AE, Dunford M, Dungs S, Duperrin A, Yildiz HD, Düren M, Durglishvili A, Dutta B, Duvnjak D, Dyckes GI, Dyndal M, Dysch S, Dziedzic BS, Eckerova B, Eggleston MG, Egidio Purcino De Souza E, Ehrke LF, Eifert T, Eigen G, Einsweiler K, Ekelof T, El Ghazali Y, El Jarrari H, El Moussaouy A, Ellajosyula V, Ellert M, Ellinghaus F, Elliot AA, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Emerman A, Enari Y, Erdmann J, Ereditato A, Erland PA, Errenst M, Escalier M, Escobar C, Estrada Pastor O, Etzion E, Evans G, Evans H, Evans MO, Ezhilov A, Fabbri F, Fabbri L, Fabiani V, Facini G, Fadeyev V, Fakhrutdinov RM, Falciano S, Falke PJ, Falke S, Faltova J, Fan Y, Fang Y, Fang Y, Fanourakis G, Fanti M, Faraj M, Farbin A, Farilla A, Farina EM, Farooque T, Farrington SM, Farthouat P, Fassi F, Fassouliotis D, Faucci Giannelli M, Fawcett WJ, Fayard L, Fedin OL, Fehr A, Feickert M, Feligioni L, Fell A, Feng C, Feng M, Fenton MJ, Fenyuk AB, Ferguson SW, Ferrando J, Ferrari A, Ferrari P, Ferrari R, Ferrere D, Ferretti C, Fiedler F, Filipčič A, Filthaut F, Fiolhais MCN, Fiorini L, Fischer F, Fischer J, Fisher WC, Fitschen T, Fleck I, Fleischmann P, Flick T, Flierl BM, Flores L, Flores Castillo LR, Follega FM, Fomin N, Foo JH, Forcolin GT, Forland BC, Formica A, Förster FA, Forti AC, Fortin E, Foti MG, Fournier D, Fox H, Francavilla P, Francescato S, Franchini M, Franchino S, Francis D, Franco L, Franconi L, Franklin M, Frattari G, Freegard AC, Freeman PM, Freund B, Freund WS, Freundlich EM, Froidevaux D, Frost JA, Fu Y, Fujimoto M, Fullana Torregrosa E, Fuster J, Gabrielli A, Gabrielli A, Gadow P, Gagliardi G, Gagnon LG, Gallardo GE, Gallas EJ, Gallop BJ, Gamboa Goni R, Gan KK, Ganguly S, Gao J, Gao Y, Gao YS, Garay Walls FM, García C, García Navarro JE, García Pascual JA, Garcia-Sciveres M, Gardner RW, Garg D, Gargiulo S, Garner CA, Garonne V, Gasiorowski SJ, Gaspar P, Gaudio G, Gauzzi P, Gavrilenko IL, Gavrilyuk A, Gay C, Gaycken G, Gazis EN, Geanta AA, Gee CM, Gee CNP, Geisen J, Geisen M, Gemme C, Genest MH, Gentile S, George S, Geralis T, Gerlach LO, Gessinger-Befurt P, Ghasemi Bostanabad M, Ghneimat M, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giangiacomi N, Giannetti P, Giannini A, Gibson SM, Gignac M, Gil DT, Gilbert BJ, Gillberg D, Gilles G, Gillwald NEK, Gingrich DM, Giordani MP, Giraud PF, Giugliarelli G, Giugni D, Giuli F, Gkialas I, Gkougkousis EL, Gkountoumis P, Gladilin LK, Glasman C, Gledhill GR, Glisic M, Gnesi I, Goblirsch-Kolb M, Godin D, Goldfarb S, Golling T, Golubkov D, Gombas JP, Gomes A, Goncalves Gama R, Gonçalo R, Gonella G, Gonella L, Gongadze A, Gonnella F, Gonski JL, González de la Hoz S, Gonzalez Fernandez S, Gonzalez Lopez R, Gonzalez Renteria C, Gonzalez Suarez R, Gonzalez-Sevilla S, Gonzalvo Rodriguez GR, González Andana RY, Goossens L, Gorasia NA, Gorbounov PA, Gordon HA, Gorini B, Gorini E, Gorišek A, Goshaw AT, Gostkin MI, Gottardo CA, Gouighri M, Goumarre V, Goussiou AG, Govender N, Goy C, Grabowska-Bold I, Graham K, Gramstad E, Grancagnolo S, Grandi M, Gratchev V, Gravila PM, 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Schwartzman A, Schwarz TA, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scuri F, Scutti F, Sebastiani CD, Sedlaczek K, Seema P, Seidel SC, Seiden A, Seidlitz BD, Seiss T, Seitz C, Seixas JM, Sekhniaidze G, Sekula SJ, Selem LP, Semprini-Cesari N, Sen S, Serfon C, Serin L, Serkin L, Sessa M, Severini H, Sevova S, Sforza F, Sfyrla A, Shabalina E, Shaheen R, Shahinian JD, Shaikh NW, Shaked Renous D, Shan LY, Shapiro M, Sharma A, Sharma AS, Sharma S, Shatalov PB, Shaw K, Shaw SM, Sherwood P, Shi L, Shimmin CO, Shimogama Y, Shinner JD, Shipsey IPJ, Shirabe S, Shiyakova M, Shlomi J, Shochet MJ, Shojaii J, Shope DR, Shrestha S, Shrif EM, Shroff MJ, Shulga E, Sicho P, Sickles AM, Sideras Haddad E, Sidiropoulou O, Sidoti A, Siegert F, Sijacki D, Silva Oliveira MV, Silverstein SB, Simion S, Simoniello R, Simsek S, Sinervo P, Sinetckii V, Singh S, Sinha S, Sinha S, Sioli M, Siral I, Sivoklokov SY, Sjölin J, Skaf A, Skorda E, Skubic P, Slawinska M, Sliwa K, Smakhtin V, Smart BH, Smiesko J, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith EA, Smith HA, Smizanska M, Smolek K, Smykiewicz A, Snesarev AA, Snoek HL, Snyder S, Sobie R, Soffer A, Sohns F, Solans Sanchez CA, Soldatov EY, Soldevila U, Solodkov AA, Solomon S, Soloshenko A, Solovyanov OV, Solovyev V, Sommer P, Son H, Sonay A, Song WY, Sopczak A, Sopio AL, Sopkova F, Sottocornola S, Soualah R, Soukharev AM, Soumaimi Z, South D, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spieker TM, Spigo G, Spina M, Spiteri DP, Spousta M, Stabile A, Stamas BL, Stamen R, Stamenkovic M, Stampekis A, Standke M, Stanecka E, Stanislaus B, Stanitzki MM, Stankaityte M, Stapf B, Starchenko EA, Stark GH, Stark J, Starko DM, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Steinberg P, Steinhebel AL, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stockton MC, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom DM, Strom LR, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Su S, Su W, Su X, Suarez NB, Sugizaki K, Sulin VV, Sullivan MJ, Sultan DMS, Sultansoy S, Sumida T, Sun S, Sun S, Sun X, Gudnadottir OS, Suster CJE, Sutton MR, Svatos M, Swiatlowski M, Swirski T, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Tagiev E, Taibah RHM, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tam KC, Tamir NM, Tanaka A, Tanaka J, Tanaka R, Tao Z, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tateno G, Tayalati Y, Taylor GN, Taylor W, Teagle H, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Ten Kate H, Teoh JJ, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Themistokleous N, Theveneaux-Pelzer T, Thielmann O, Thomas DW, Thomas JP, Thompson EA, Thompson PD, Thomson E, Thorpe EJ, Tian Y, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Tlou SH, Tnourji A, Todome K, Todorova-Nova S, Todt S, Togawa M, Tojo J, Tokár S, Tokushuku K, Tolley E, Tombs R, Tomoto M, Tompkins L, Tornambe P, Torrence E, Torres H, Torró Pastor E, Toscani M, Tosciri C, Toth J, Tovey DR, Traeet A, Treado CJ, Trefzger T, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tsiamis A, Tsiareshka PV, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsukerman II, Tsulaia V, Tsuno S, Tsur O, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tuna AN, Turchikhin S, Turgeman D, Turk Cakir I, Turner RJ, Turra R, Tuts PM, Tzamarias S, Tzanis P, Tzovara E, Uchida K, Ukegawa F, Unal G, Unal M, Undrus A, Unel G, Ungaro FC, Uno K, Urban J, Urquijo P, Usai G, Ushioda R, Usman M, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vafeiadis T, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Valéry L, Vallance RA, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vannicola D, Vannoli L, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vaslin L, Vasquez GA, Vazeille F, Vazquez Furelos D, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veliscek I, Veloce LM, Veloso F, Veneziano S, Ventura A, Verbytskyi A, Verducci M, Vergis C, Verissimo De Araujo M, Verkerke W, Vermeulen AT, Vermeulen JC, Vernieri C, Verschuuren PJ, Vesterbacka ML, Vetterli MC, Viaux Maira N, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Villhauer EM, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vladimirov V, Voevodina E, Vogel M, Vokac P, Von Ahnen J, von Buddenbrock SE, Von Toerne E, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vu NK, Vuillermet R, Vukotic I, Wada S, Wagner C, Wagner P, Wagner W, Wahdan S, Wahlberg H, Wakasa R, Wakida M, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wang AM, Wang AZ, Wang C, Wang C, Wang H, Wang J, Wang P, Wang RJ, Wang R, Wang R, Wang SM, Wang S, Wang T, Wang WT, Wang WX, Wang X, Wang Y, Wang Z, Wanotayaroj C, Warburton A, Ward CP, Ward RJ, Warrack N, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Weber C, Weber MS, Weber SA, Weber SM, Wei C, Wei Y, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells PS, Wenaus T, Wendland B, Wengler T, Wenig S, Wermes N, Wessels M, Whalen K, Wharton AM, White AS, White A, White MJ, Whiteson D, Wiedenmann W, Wiel C, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilbern DJ, Wilkens HG, Wilkins LJ, Williams DM, Williams HH, Williams S, Willocq S, Windischhofer PJ, Wingerter-Seez I, Winklmeier F, Winter BT, Wittgen M, Wobisch M, Wolf A, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Wongel AF, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu J, Wu SL, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xiang J, Xiao X, Xie X, Xiotidis I, Xu D, Xu H, Xu H, Xu L, Xu R, Xu W, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi N, Yamaguchi Y, Yamatani M, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Ye H, Ye J, Ye S, Yeletskikh I, Yexley MR, Yin P, Yorita K, Yoshihara K, Young CJS, Young C, Yuan R, Yue X, Zaazoua M, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang J, Zhang K, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang X, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas TG, Zormpa O, Zou W, Zwalinski L. Search for New Phenomena in Final States with Two Leptons and One or No b-Tagged Jets at sqrt[s]=13 TeV Using the ATLAS Detector. PHYSICAL REVIEW LETTERS 2021; 127:141801. [PMID: 34652194 DOI: 10.1103/physrevlett.127.141801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 07/30/2021] [Indexed: 06/13/2023]
Abstract
A search for new phenomena is presented in final states with two leptons and one or no b-tagged jets. The event selection requires the two leptons to have opposite charge, the same flavor (electrons or muons), and a large invariant mass. The analysis is based on the full run-2 proton-proton collision dataset recorded at a center-of-mass energy of sqrt[s]=13 TeV by the ATLAS experiment at the LHC, corresponding to an integrated luminosity of 139 fb^{-1}. No significant deviation from the expected background is observed in the data. Inspired by the B-meson decay anomalies, a four-fermion contact interaction between two quarks (b, s) and two leptons (ee or μμ) is used as a benchmark signal model, which is characterized by the energy scale and coupling, Λ and g_{*}, respectively. Contact interactions with Λ/g_{*} lower than 2.0 (2.4) TeV are excluded for electrons (muons) at the 95% confidence level, still far below the value that is favored by the B-meson decay anomalies. Model-independent limits are set as a function of the minimum dilepton invariant mass, which allow the results to be reinterpreted in various signal scenarios.
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Zhu H, Feng Y, Zhang L, Liu Y, Hu X. P22.06 Prognostic Value of Circulating Tumor Cells in Patients With Small Cell Lung Cancer Receiving Front-Line Treatment. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Xu N, Chen YS, Zhu H, Li WS, Sun ZW, Zhang HB, Li XY, Zhang B, Zhang C, Wen ZQ, Bai YT. Upregulation of miR-142-5p induced by lipopolysaccharide contributes to apoptosis of hepatocytes and hepatic failure. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:5293-5303. [PMID: 34486705 DOI: 10.26355/eurrev_202108_26550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study was probed to uncover the mechanism of miR-142-5p in septic liver injury. MATERIALS AND METHODS In this study, in-vitro and in-vivo models of sepsis were used. For in-vitro sepsis model, hepatocyte cell line (L02 cells) was treated with LPS (lipopolysaccharide). Whereas for in-vivo sepsis model, cecal ligation and puncture were performed in mice. Mice were assigned into three groups: control, CLP (Cecal Ligation Puncture), CLP + miR-142-5p inhibitor group. Liver injury was assessed via H&E staining. IL-6, TNF-α, and IL-1β expressions were assayed through ELISA kits. C-caspase-9, C-caspase-3, ERK, p65, and IκBα expressions were determined via western blot and RT-qPCR. Apoptosis in LPS-induced L02 cells was detected by TUNEL staining. RESULTS Our results show that miR-142-5p exhibited perspicuous upregulation in CLP mice tissues and LPS-induced L02 cells. On the other hand, inhibition of miR-142-5p could promote LPS-induced L02 cell activity and reduce apoptosis and inflammation. In terms of molecular mechanism, downregulation of miR-142-5p could abate sepsis-mediated acute hepatic injury by targeting SOCS1, through ERK and NF-κB pathway. CONCLUSIONS Overall our results demonstrate that miR-142-5p inhibitors can mitigate septic liver injury by downregulating the inflammation and apoptosis via targeting SOCS1. Thus, miR-142-5p can serve a potential therapeutic target for sepsis mediated acute hepatic injury.
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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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Wang Y, Wang D, Yuan H, Zhu H, Hua X. 57P The characteristics of IDH mutations in Chinese bile duct carcinoma patients. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Feng Y, Liu Y, Yuan M, Dong G, Zhang H, Zhang T, Zhu H, Xing P, Wang H, Hu X. 1656P Germline mutations in DNA damage repair genes in patients with small cell lung cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.240] [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] Open
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Melough M, Day D, Fretts A, Wang S, Flynn J, de Boer I, Zhu H, Kannan K, Sathyanarayana S. Associations of Dietary Intake with Urinary Melamine Concentrations among Children aged 4-6 Years in the GAPPS Cohort. J Acad Nutr Diet 2021. [DOI: 10.1016/j.jand.2021.06.226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Qin Y, Zhang S, Cui S, Shen X, Wang J, Cui X, Zuo M, Gao Z, Zhang J, Yang J, Zhu H, Chang B. High urinary excretion rate of glucose attenuates serum uric acid level in type 2 diabetes with normal renal function. J Endocrinol Invest 2021; 44:1981-1988. [PMID: 33515212 PMCID: PMC8357730 DOI: 10.1007/s40618-021-01513-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 01/18/2021] [Indexed: 12/15/2022]
Abstract
AIMS/INTRODUCTION The relationship between urinary excretion rate of glucose (UEGL) and uric acid (UA) metabolism in adults with type 2 diabetes (T2D) remains unclear to date. This study aimed to investigate the relationships of UEGL with serum UA (SUA), urinary excretion rate of uric acid (UEUA), and renal clearance of uric acid (CLUA) in adults with T2D. We hypothesised that high UEGL increases UA excretion, which in turn leads to lower SUA. MATERIALS AND METHODS This was a cross-sectional study of 635 inpatients with T2D recruited between 2018 and 2019. The relationships of UEGL with UEUA, CLUA, and hyperuricaemia were assessed using analysis of covariance and multivariate regression analysis. RESULTS Patients in the higher quartile of UEGL tended to have lower SUA levels than those in the lower quartile. In contrast, patients in the higher quartile of UEGL tended to have higher CLUA (p for trend < 0.0001), and a similar trend was observed for UEUA. In adjusted multivariable linear regression model, UEGL was negatively correlated with SUA (β = - 0.023, 95% CI - 0.034 to - 0.013, p < 0.0001). However, positive correlations of UEGL with UEUA (β = 0.046, 95% CI 0.018-0.074, p = 0.001) and CLUA (β = 0.063, 95% CI 0.042-0.085, p < 0.0001) were found. Furthermore, consistent significant inverse associations were observed between quartiles of UEGL and hyperuricaemia in the adjusted multivariate logistic regression model. CONCLUSIONS A high UEGL level was positively correlated with UEUA and CLUA. Moreover, it was inversely associated with SUA level, and a consistently increased UEGL level reduced the risk of hyperuricaemia in patients with T2D.
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Hsiehchen D, Kainthla R, Zhu H, Jones A, Beg M. 939P Phase II study of pembrolizumab (pembro) and bavituximab (bavi) in advanced hepatocellular carcinoma (HCC). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.159] [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] Open
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Sun Z, Guo Y, He W, Wang S, Sun C, Zhu H, Li J, Chen Y, Du Y, Wang G, Yang X, Su H. A clinical risk score to detect COVID-19 in suspected patients. Ann Epidemiol 2021. [PMCID: PMC8423406 DOI: 10.1016/j.annepidem.2021.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Zhu H, Cheng G, Jung D. Toolpath Planning and Generation for Multi-Stage Incremental Forming Based on Stretching Angle. MATERIALS 2021; 14:ma14174818. [PMID: 34500905 PMCID: PMC8432499 DOI: 10.3390/ma14174818] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/13/2021] [Accepted: 08/20/2021] [Indexed: 11/16/2022]
Abstract
To solve the problems that exist in the multi-stage forming of the straight wall parts, such as the sheet fracture, uneven thickness distribution, and the stepped feature sinking, a new forming toolpath planning and generation method for the multi-stage incremental forming was proposed based on the stretching angle. In this method, the parallel planes that were used for forming toolpath generation were constructed by using the stretching angle so that the distances between the parallel planes and the forming angles were gradually reduced. This makes the sheet material flow become changed and the thickness thinning is relieved. The software system for the toolpath generation was developed by using C++, VC++, and OpenGL library. In order to verify the feasibility of the proposed method, numerical simulation and forming experiments were carried out for the single stage forming, the traditional multi-stage forming, and multi-stage forming based on the proposed forming toolpath, using 1060 aluminum sheets. The comparative analysis of the thickness distribution, profile curve, strain curve, and sheet material flow shows that the proposed method is feasible, and the profile dimension accuracy is better, the thickness distribution is more uniform, and the sinking and bulging are significantly reduced. The formed sheet part with the stretching angle of 15° has higher dimensional accuracy, smaller bottom subsidence, and larger thickness than that of the stretching angle 5°.
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Zhu H, Li L, Chen W, Tong Y, Wang X. Controllable synthesis of coral-like hierarchical porous magnesium hydroxide with various surface area and pore volume for lead and cadmium ion adsorption. JOURNAL OF HAZARDOUS MATERIALS 2021; 416:125922. [PMID: 34492854 DOI: 10.1016/j.jhazmat.2021.125922] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 04/02/2021] [Accepted: 04/15/2021] [Indexed: 06/13/2023]
Abstract
A coral-like hierarchical porous magnesium hydroxide (HPMH) with various surface area and pore volume was controllably prepared using a simple one-step hydrothermal process, for which MgO, water and citric acid were applied. The citric acid (CA), as a structure-directing molecule, is a key factor in regulating the pore structure of HPMH products. With different additive dosages, the nanostructure, surface area and pore volume of HPMH products can be controllably regulated. The MH-CA20 product (prepared in the presence of 20 wt% CA) with high BET surface area (159 m2/g) and pore volume (0.75 cm3/g) was used to investigate the adsorption properties for Pb(II) and Cd(II) ions. The experimental adsorption capabilities of the MH-CA20 for Pb(II) and Cd(II) are respectively 4535 and 3530 mgg-1, very close to the maximum adsorption capabilities calculated by Langmuir equation (4545 and 3571 mgg-1). According to the adsorption kinetics and adsorption isotherm data, the adsorption process conforms to the Pseudo-second-order and Langmuir model, indicating that heavy metal ions conduct monolayer chemical adsorption mechanism. Since the preparation of HPMH is simple, low-cost and filtrate recycling, the process can easily be scaled up and could be a good candidate for application in tackling different wastewater.
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Zhou H, Zhu H, Zhang S. P–376 S100P in syncytiotrophoblast regulates lipid metabolism during early pregnancy. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Does S100P involve in the regulation of lipid metabolism in trophoblast syncytialization during the early stage of pregnancy?
Summary answer
S100P suppressed lipid droplets overloading in trophoblast syncytialization during the early stage of pregnancy.
What is known already
S100P is a 95-amino acid protein belongs to the large family of S100 calcium-binding proteins and is exclusively expressed in syncytiotrophoblast layer of placenta, enhancing trophoblast cells proliferation, motility and invasion. Recent studies indicated S100P was aberrantly expressed in various malignant tumors, promoting their proliferation, survival, the formation and invasion of vessels, and has a close relationship with their grade malignancy, hormone dependency and the drug-resistance. Syncytialization is trophoblast cells differentiated from cytotrophoblasts fused into multinucleated cell clusters with cell boundaries deficiency.
Study design, size, duration
Tissues were collected from elective first trimester pregnancy terminations of healthy people and patients with recurrent spontaneous abortion. Human trophoblast stem cells (hTSCs) were isolated from Week 6 to Week 8 of fresh placental tissues (n = 8) and use forskolin to induce syncytialization.
Participants/materials, setting, methods
Tissues were collected from elective first trimester surgical pregnancy terminations to determine localization, abundance and function of S100P. The level of S100P protein and gene was measured by Real-time quantitative PCR (RT-qPCR), western blot, ELISA and immunofluorescence in hTSC induced ST(2D)-TSCT. The lipid droplets were assessed by Oil red O stain, BODIPY and electron microscope. Serum S100P concentration in normal and recurrent miscarriage patients were measured by ELISA.
Main results and the role of chance
S100P was exclusively localized in syncytiotrophoblast layer of the placental villous from gestational weeks 6–8 (n = 4); S100p serum concentration was increased markedly as the gestation progressed (n = 40, p < 0.05); the protein abundance of S100P was increased during syncytialization of hTSCs; Lipid droplets increased during syncytialization and knockdown of S100P leads to trophoblast cell death with the overload of lipid droplet; The expression of S100P was down regulated and the amount of lipid droplets apparently accumulated in villus of recurrent miscarriage patients (n = 4).
Limitations, reasons for caution
The role of S100P on placenta lacks the evidence from animal models.
Wider implications of the findings: S100P is an important factor facilitating in trophoblast syncytialization in the first trimester of pregnancy and could be a biomarker of the early pregnancy sustenance.
Trial registration number
Not applicable
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Zhu H, Cui C, Deng L, Cheung RCC, Yan H. Elastic Net Constraint-Based Tensor Model for High-Order Graph Matching. IEEE TRANSACTIONS ON CYBERNETICS 2021; 51:4062-4074. [PMID: 31536028 DOI: 10.1109/tcyb.2019.2936176] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The procedure of establishing the correspondence between two sets of feature points is important in computer vision applications. In this article, an elastic net constraint-based tensor model is proposed for high-order graph matching. To control the tradeoff between the sparsity and the accuracy of the matching results, an elastic net constraint is introduced into the tensor-based graph matching model. Then, a nonmonotone spectral projected gradient (NSPG) method is derived to solve the proposed matching model. During the optimization of using NSPG, we propose an algorithm to calculate the projection on the feasible convex sets of elastic net constraint. Further, the global convergence of solving the proposed model using the NSPG method was proved. The superiority of the proposed method is verified through experiments on the synthetic data and natural images.
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Dell'Asta L, Delmastro M, Delporte C, Delsart PA, Demers S, Demichev M, Demontigny G, Denisov SP, D'Eramo L, Derendarz D, Derkaoui JE, Derue F, Dervan P, Desch K, Dette K, Deutsch C, Deviveiros PO, Di Bello FA, Di Ciaccio A, Di Ciaccio L, Di Donato C, Di Girolamo A, Di Gregorio G, Di Luca A, Di Micco B, Di Nardo R, Di Sipio R, Diaconu C, Dias FA, Dias Do Vale T, Diaz MA, Diaz Capriles FG, Dickinson J, Didenko M, Diehl EB, Dietrich J, Díez Cornell S, Diez Pardos C, Dimitrievska A, Ding W, Dingfelder J, Dittmeier SJ, Dittus F, Djama F, Djobava T, Djuvsland JI, Do Vale MAB, Dobre M, Dodsworth D, Doglioni C, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D'onofrio A, D'Onofrio M, Dopke J, Doria A, Dova MT, Doyle AT, Drechsler E, Dreyer E, Dreyer T, Drobac AS, Du D, du Pree TA, Duan Y, Dubinin F, Dubovsky M, Dubreuil A, Duchovni E, Duckeck G, Ducu OA, Duda D, Dudarev A, Dudder AC, D'uffizi M, Duflot L, Dührssen M, Dülsen C, Dumancic M, Dumitriu AE, Dunford M, Dungs S, Duperrin A, 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Kordas K, Koren G, Korn A, Korolkov I, Korolkova EV, Korotkova N, Kortner O, Kortner S, Kostyukhin VV, Kotsokechagia A, Kotwal A, Koulouris A, Kourkoumeli-Charalampidi A, Kourkoumelis C, Kourlitis E, Kowalewski R, Kozanecki W, Kozhin AS, Kramarenko VA, Kramberger G, Krasnopevtsev D, Krasny MW, Krasznahorkay A, Kremer JA, Kretzschmar J, Kreul K, Krieger P, Krieter F, Krishnamurthy S, Krishnan A, Krivos M, Krizka K, Kroeninger K, Kroha H, Kroll J, Kroll J, Krowpman KS, Kruchonak U, Krüger H, Krumnack N, Kruse MC, Krzysiak JA, Kubota A, Kuchinskaia O, Kuday S, Kuechler D, Kuechler JT, Kuehn S, Kuhl T, Kukhtin V, Kulchitsky Y, Kuleshov S, Kulinich YP, Kumar M, Kuna M, Kupco A, Kupfer T, Kuprash O, Kurashige H, Kurchaninov LL, Kurochkin YA, Kurova A, Kurth MG, Kuwertz ES, Kuze M, Kvam AK, Kvita J, Kwan T, Lacasta C, Lacava F, Lack DPJ, Lacker H, Lacour D, Ladygin E, Lafaye R, Laforge B, Lagouri T, Lai S, Lakomiec IK, Lambert JE, Lammers S, Lampl W, Lampoudis C, Lançon E, Landgraf U, Landon 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Llorente Merino J, Lloyd SL, Lobodzinska EM, Loch P, Loffredo S, Lohse T, Lohwasser K, Lokajicek M, Long JD, Long RE, Longarini I, Longo L, Longo R, Lopez Paz I, Lopez Solis A, Lorenz J, Lorenzo Martinez N, Lory AM, Lösle A, Lou X, Lou X, Lounis A, Love J, Love PA, Lozano Bahilo JJ, Lu M, Lu S, Lu YJ, Lubatti HJ, Luci C, Lucio Alves FL, Lucotte A, Luehring F, Luise I, Luminari L, Lund-Jensen B, Luongo NA, Lutz MS, Lynn D, Lyons H, Lysak R, Lytken E, Lyu F, Lyubushkin V, Lyubushkina T, Ma H, Ma LL, Ma Y, Mac Donell DM, Maccarrone G, Macdonald CM, MacDonald JC, Machado Miguens J, Madar R, Mader WF, Madugoda Ralalage Don M, Madysa N, Maeda J, Maeno T, Maerker M, Magerl V, Magro J, Mahon DJ, Maidantchik C, Maio A, Maj K, Majersky O, Majewski S, Makovec N, Malaescu B, Malecki P, Maleev VP, Malek F, Malito D, Mallik U, Malone C, Maltezos S, Malyukov S, Mamuzic J, Mancini G, Mandalia JP, Mandić I, Manhaes de Andrade Filho L, Maniatis IM, Manjarres Ramos J, Mankinen KH, Mann A, Manousos A, 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Search for Displaced Leptons in sqrt[s]=13 TeV pp Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2021; 127:051802. [PMID: 34397238 DOI: 10.1103/physrevlett.127.051802] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/03/2021] [Accepted: 06/11/2021] [Indexed: 06/13/2023]
Abstract
A search for charged leptons with large impact parameters using 139 fb^{-1} of sqrt[s]=13 TeV pp collision data from the ATLAS detector at the LHC is presented, addressing a long-standing gap in coverage of possible new physics signatures. Results are consistent with the background prediction. This search provides unique sensitivity to long-lived scalar supersymmetric lepton partners (sleptons). For lifetimes of 0.1 ns, selectron, smuon, and stau masses up to 720, 680, and 340 GeV, respectively, are excluded at 95% confidence level, drastically improving on the previous best limits from LEP.
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Zhu H, Wang Y, Liu Y, Jung D. The Influence of Sheet Tilting on Forming Quality in Single Point Incremental Forming. MATERIALS 2021; 14:ma14143907. [PMID: 34300823 PMCID: PMC8307546 DOI: 10.3390/ma14143907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 11/16/2022]
Abstract
In the CNC incremental forming process, the sheet tilting method can be used to realize the non-fracture forming of a surface with large forming angles. However, the forming effect of the formed part will have big differences when the inclined angle of the sheet is different. Therefore, four different tilted sheets with inclined angles of 15°, 20°, 25°, and 30° were used to study the influence of sheet tilting on forming quality by using 1060 Aluminum sheet as the forming sheet in single point CNC incremental forming. First, the influence of four different inclined angles of the sheet on the overall thickness distribution, plastic strain, and material flow of the formed part was studied by using numerical simulation. Then, the influence of four different inclined angles of sheets on the profile accuracy and thickness thinning rate of the formed part was studied through single point incremental forming experiments. The research results show that sheet tilting has little effect on the profile accuracy of the formed part, but has a great influence on the material flow, plastic strain, and thickness distribution.
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