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Wei J, Wang K, Dai C, Li Y, Yang Y, Li H, Zhou X, Wang G. 39P Cancers with Ochrobactrum anthropi infection show enhanced responses to immune checkpoint blockade treatment. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.055] [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] Open
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Price T, Prenen H, Lugowska I, Falchook G, Monzon J, Arkenau H, Chawla S, Hui M, Kuboki Y, Dziadziuszko R, Ozawa Y, Elez Fernandez M, Rocha Lima C, Subbiah V, Tan D, Wang K, Hindoyan A, Shi W, Kistler M, Hashemi Sadraei N. 142P Updated results from a phase I, open-label, multicenter, first-in-human study of AMG 404, a checkpoint inhibitor, in patients with advanced solid tumors. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.161] [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] Open
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153
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Chen ZJ, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai J, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dong X, Du S, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fritsch M, Fu C, Gao Y, Gao Y, Gao Y, Gao Y, Garzia I, Ge P, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu Y, Guan CY, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, He K, Heinsius F, Heinz C, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Hüsken N, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jiang H, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li P, Li S, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Lin C, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu M, Liu P, Liu Q, Liu Q, Liu S, Liu S, Liu T, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pogodin S, Poling R, Prasad V, Qi H, Qi H, Qi K, Qi M, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan D, Shan W, Shan X, Shangguan J, Shao M, Shen C, Shen H, Shen P, Shen X, Shi H, Shi R, Shi X, Shi XD, Song J, Song W, Song Y, Sosio S, Spataro S, Su K, Su P, Sui F, Sun G, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang C, Wang D, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang S, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xu C, Xu G, Xu Q, Xu W, Xu X, Xu Y, Yan F, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan X, Yuan Y, Yuan Z, Yue C, Zafar A, Zeng XZ, Zeng Y, Zhang A, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang S, Zhang S, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu T, Zhu W, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Measurement of the cross section for
e+e−→ΛΛ¯
and evidence of the decay
ψ(3770)→ΛΛ¯. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.l091104] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Xu H, Han D, Wang K, Zhang T, Gao GC. LINC00174 triggers the malignant development of breast cancer by negatively regulating miR-1827 level. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:6447-6453. [PMID: 34787848 DOI: 10.26355/eurrev_202111_27087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Long non-coding RNAs (lncRNAs) are extensively involved in tumor development. In-depth researches on cancer-associated lncRNAs provide a theoretical basis for developing prognostic hallmarks and individualized therapeutic targets in breast cancer (BCa). This study aims to detect expression characteristics of LINC00174 in BCa and its biological role in regulating BCa cell phenotypes. PATIENTS AND METHODS LINC00174 levels in BCa and adjacent normal tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The influence of LINC00174 on pathological indicators of BCa was analyzed. In MCF-7 and MDA-MB-231 cells with LINC00174 knockdown, proliferative and migratory abilities were examined by cell counting kit-8 (CCK-8), colony formation and transwell assay, respectively. At last, molecular mechanisms of LINC00174 and its downstream gene miR-1827 in regulating BCa development were explored by Luciferase assay and rescue experiments. RESULTS LINC00174 was upregulated in BCa tissues than adjacent normal ones. High level of LINC00174 predicted advanced tumor staging, high metastasis rate and poor prognosis in BCa. Knockdown of LINC00174 attenuated proliferative and migratory abilities in BCa cells. MiR-1827 was the target gene binding LINC00174, showing a negative correlation between each other. Silence of miR-1827 abolished the regulatory effects of LINC00174 on proliferative and migratory abilities in BCa cells. CONCLUSIONS LINC00174 is upregulated in BCa samples. It is closely linked to tumor staging, metastasis and prognosis in BCa. By negatively regulating miR-1827 level, LINC00174 aggravates the malignant development of BCa.
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Zhou F, Wang J, Shayan G, Huang X, Wang K, Qu Y, Chen X, Wu R, Zhang Y, Sun S, Luo J, Liu Q, Zhang J, Xiao J, Yi J. Prognostic Significance of Tumor Infiltrating Lymphocytes (TILs) and Programmed Cell Death-Ligand 1 (PD-L1) in Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1134] [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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156
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Deng Z, Xu X, Dehghani H, Reyes J, Wong J, Tran P, Wang K. Quantification of Tumor Location and Growth for Orthotopic Pancreatic Cancer Model Using Bioluminescence Tomography-Guided System. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.225] [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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Yen A, Morgan H, Wang K, Albuquerque K, Wang J. Interpretable Machine Learning Model Supported by Parallel Ensemble Learning to Predict Local Recurrence for Patients with Cervical Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wilson J, Shumway J, Calvo B, Tepper J, Wang A, Pearlstein K, Wang K, Kim H. Retrospective Cohort of Patients Treated for Paraaortic and Paracaval Recurrence With Intraoperative Radiation Therapy. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.449] [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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Luo X, Yi J, Wang J, Wu R, Huang X, Zhang Y, Wang K, Qu Y, Chen X, Zhang J, Luo J, GAO L, Xu G. Hypopharyngeal Carcinoma With Synchronous and Metachronous Multiple Malignancies: Clinical Characteristics and Prognosis Analysis of 673 Real World Cases. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1081] [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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160
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Wu R, GAO L, Huang X, Xiao J, Wang K, Qu Y, Liu Q, Wang J, Zhang Y, Zhang J, Chen X, Luo J, Yi J. Stereotactic Body Radiation Therapy for the First-Line Comprehensive Treatment of Oligometastatic Nasopharyngeal Carcinoma: A Prospective, Single-Arm, Phase II Trial. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1337] [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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161
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Dohopolski M, Wang K, Morgan H, Chen L, Sher D, Wang J. Predicting Feeding Tube Placement in Head and Neck Cancer Patients Receiving Radiation Therapy With Machine Learning. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1180] [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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Keltner S, Kharofa J, Hallemeier C, Wang K, Tao R, Shah S, Heimbach J. Neoadjuvant Therapy Regimens for Hilar Cholangiocarcinoma Before Liver Transplant. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.383] [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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Khokhar H, Wang K, Luis D. Multifocal Primary Central Nervous System (CNS) Diffuse Large B-Cell Lymphoma (DLBCL) in a Patient with Aquired Immunodeficiency Syndrome (AIDS). Am J Clin Pathol 2021. [DOI: 10.1093/ajcp/aqab191.192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction/Objective
Primary CNS DLBCL is a rare entity, with an incidence of less than 0.47 per 100,000, however, in immunocompromised patients, especially those with Human Immunodeficiency Virus (HIV-1) infection, the incidence increases dramatically to 2-6 percent. Here we present a case of multifocal DLBCL in a young 28-year-old homeless male with untreated AIDS and polysubstance abuse.
Methods/Case Report
He presented to the hospital with altered state of consciousness; a Computerized Tomography (CT) scan showed three ring-enhancing masses; one in the left fronto-temporal region, the largest in the left basal ganglia and the third in the cerebellum. The main lesion was biopsied and diagnosed as DLBCL. The patient developed aspiration pneumonia and demised from respiratory failure
Results (if a Case Study enter NA)
NA
Conclusion
Coronal sections of the brain revealed a large grey-tan, soft lesion of poorly defined, irregular borders located in the left basal ganglia that measured 5 x 4 x 4 cm, extended dorsally and laterally. A similar lesion was observed in the deep left cerebral hemisphere, affecting the temporal lobe and extending rostrally into the frontal lobe, but completely separate from the tumor in the basal ganglia. A third, much smaller lesion was found in the right cerebellar hemisphere. Histologically, the tumor was composed of sheets of atypical lymphoid cells with increased nuclear to cytoplasmic ratio, increased mitotic activity, and showed scattered areas of necrosis. In the peripheral areas, tumor cells were located in the Virchow Robin space, and in more central areas they have broken into the brain parenchyma. Tumor cells were positive for CD20 and CD79a, indicating their B-cell origin. Other markers positive by immunohistochemistry were PAX5, MUM1 and BCL6 and the Epstein-Barr Virus (EBV) latent membrane protein (LMP). Fluorescence In situ hybridization (FISH) corroborated the presence of Eptein-Barr encoded RNAs.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dong X, Du SX, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fritsch M, Fu CD, Gao Y, Gao Y, Gao Y, Gao YG, Garzia I, Ge PT, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KL, Heinsius FH, Heinz CH, Held T, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jiang HB, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth MG, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li JL, Li JQ, Li JS, Li K, Li LK, Li L, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu L, Liu MH, Liu PL, Liu Q, Liu Q, Liu SB, Liu S, Liu T, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Maas FE, Maggiora M, Maldaner S, Malde S, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi H, Qi HR, Qi KH, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan DC, Shan W, Shan XY, Shangguan JF, Shao M, Shen CP, Shen HF, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Su KX, Su PP, Sui FF, Sun GX, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun WY, Sun X, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Teng JX, Thoren V, Tian WH, Tian YT, Uman I, Wang B, Wang CW, Wang DY, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang YY, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu GF, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zeng Y, Zhang AQ, Zhang BX, Zhang G, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang S, Zhang SF, Zhang S, Zhang XD, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu TJ, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Measurement of the Absolute Branching Fraction of D_{s}^{+}→τ^{+}ν_{τ} via τ^{+}→e^{+}ν_{e}ν[over ¯]_{τ}. PHYSICAL REVIEW LETTERS 2021; 127:171801. [PMID: 34739288 DOI: 10.1103/physrevlett.127.171801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 08/26/2021] [Accepted: 09/21/2021] [Indexed: 06/13/2023]
Abstract
Using a dataset of 6.32 fb^{-1} of e^{+}e^{-} annihilation data collected with the BESIII detector at center-of-mass energies between 4178 and 4226 MeV, we have measured the absolute branching fraction of the leptonic decay D_{s}^{+}→τ^{+}ν_{τ} via τ^{+}→e^{+}ν_{e}ν[over ¯]_{τ}, and find B_{D_{s}^{+}→τ^{+}ν_{τ}}=(5.27±0.10±0.12)×10^{-2}, where the first uncertainty is statistical and the second is systematic. The precision is improved by a factor of 2 compared to the previous best measurement. Combining with f_{D_{s}^{+}} from lattice quantum chromodynamics calculations or the |V_{cs}| from the CKMfitter group, we extract |V_{cs}|=0.978±0.009±0.012 and f_{D_{s}^{+}}=(251.1±2.4±3.0) MeV, respectively. Combining our result with the world averages of B_{D_{s}^{+}→τ^{+}ν_{τ}} and B_{D_{s}^{+}→μ^{+}ν_{μ}}, we obtain the ratio of the branching fractions B_{D_{s}^{+}→τ^{+}ν_{τ}}/B_{D_{s}^{+}→μ^{+}ν_{μ}}=9.72±0.37, which is consistent with the standard model prediction of lepton flavor universality.
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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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Rong XK, Wang K, Wang T, Yang JZ, Ding JK, Dang JL, Yu Z, Yi CG. [Explorative study of the immobilizing effect of full-thickness skin subcutaneous grafting on allogeneic full-thickness skin graft in rats]. ZHONGHUA SHAO SHANG ZA ZHI = ZHONGHUA SHAOSHANG ZAZHI = CHINESE JOURNAL OF BURNS 2021; 37:987-989. [PMID: 34689469 DOI: 10.3760/cma.j.cn501120-20200801-00365] [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 immobilizing effect of full-thickness skin subcutaneous grafting on allogeneic full-thickness skin graft in rats. Methods: The experimental research method was used. The inbred male Brown-Norway rats (n=10) and Lewis rats (n=10) were used as donors and recipients respectively. After subcutaneously full-thickness separation of a 2.2 cm×2.2 cm area on the nape of the recipient rat, a full-thickness skin of 2.0 cm×2.0 cm taken from the abdomen of the donor rat was subcutaneously grafted, and the donor site was pulled together and sutured. The autologous skin over the allograft in the recipient rat was excised 5-6 d after grafting, and the stitches were removed 7 d after excision. Within 2 months after grafting, the feeding, activity, and survival of the donor and recipient rats, behavior of tearing and scratching the wounds of the recipient rats, the wound condition after autologous skin excision in recipient rats, and the survival and hair growth of the grafted allogeneic skin were observed. Results: Within 2 months after grafting, the donor and recipient rats all ate normally and could move freely with no abnormal death. No tearing or scratching of the wounds occurred in recipient rats. There was a small amount of exudation and partial epidermal desquamation after autologous skin excision in recipient rats. All transplanted allografts survived, which were free of infection and necrosis, with new hairs growing out smoothly. Conclusions: The immobilizing method of full-thickness skin subcutaneous grafting of allogeneic full-thickness skin graft in rats is simple and time-saving without postoperative dressing change, with reliable pressure fixation and high survival rate of skin grafts, which can be promoted for animal skin grafting models.
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Brown SC, Aitken W, Lombard J, Wang K, Parrish A, Nardi M, Kardys J, Szapocznik J. Longitudinal impacts of greenness on cardiovascular disease conditions. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Environmental determinants of health, such as greenness, play an increasing role in our understanding of cardiovascular disease, and can inform how to address geographic cardiovascular disparities. This study assesses the impact of greenness and changes in greenness on cardiovascular disease.
Purpose
The purpose of this study is to investigate the impact of greenness and changes in greenness on cardiovascular disease diagnoses.
Methods
The sample for this prospective, longitudinal study was comprised of 243,558 U.S. Medicare beneficiaries 65 years or older, residing on the same Census Block from 2011 through 2016, and who had a Miami-Dade residential 9-digit zip code. Analyses examined the impact of greenness, measured by mean block-level Normalized Difference Vegetation index (NDVI) from satellite imagery to incidence of new cardiovascular conditions including: acute myocardial infarction, atrial fibrillation, heart failure, ischemic heart disease, hypertension, and stroke/ transient ischemic attack. Zero-inflated poisson regression was used to model the odds of developing any new cardiovascular disease and number of new cardiovascular conditions based on block level greenness while adjusting for individual age, gender, race/ethnicity, number of baseline cardiovascular conditions, and neighborhood characteristics including income and walkability.
Results
Living in a higher greenness Census Block was associated with lower odds of having at least one new cardiovascular condition and having a small number of new conditions, adjusting for individual and neighborhood level characteristics. When compared to individuals living in the lowest tertile of greenness throughout the study, those individuals living in the highest tertile of greenness throughout the study had a 16% lower odds of having any new cardiovascular conditions (OR=0.84, 95% CI: 0.79–0.90, p<0.001) and among individuals developing at least one new cardiovascular disease, 4% fewer new cardiovascular conditions (OR=0.96, 95% CI: 0.92–0.99, p<0.05). When compared to individuals living in the lowest tertile of greenness throughout the study, those individuals living in areas that increased their greenness from the lowest tertile to the highest tertile of greenness had a 15% lower odds of having any new cardiovascular conditions (OR=0.85, 95% CI: 0.75–0.97, p<0.001) and among individuals developing at least one new cardiovascular disease, 9% fewer new cardiovascular conditions (OR=0.91, 95% CI: 0.83–0.99, p<0.05).
Conclusions
High greenness is associated with lower rates of cardiovascular conditions over time, both when greenness increases and when a Census Block maintains high greenness. It is remarkable that these effects appear in five years, a relatively short amount of time for a positive environmental impact; and that even for those who began in the lowest greenness tertile, an increase to the high greenness tertile had a significant effect.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Robert Wood Johnson Evidence for Action Grant
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Wang K, Ahmadizar F, Arshi B, Kors J, Ikram A, Kavousi M. Heart rate variability and incident type 2 diabetes mellitus. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Hyperglycemia and autonomic dysfunction are bidirectionally related. The implications from former cross-sectional studies regarding the association of autonomic dysfunction and diabetes are limited due to the potential reverse causation. We aimed to investigate the association of longitudinal evolution of heart rate variability (HRV) with incident type 2 diabetes mellitus (T2D) among the general population.
Methods
Using data from the prospective population-based cohort study, 7630 participants with available repeated assessments of HRV, who were free of T2D and atrial fibrillation, were included. Measurements of HRV were analyzed from standard 10-s electrocardiograms records, including heart rate and two time-domain HRV markers: the heart-rate corrected standard deviation of the normal-to-normal RR intervals (SDNNc) and heart-rate corrected root mean square of successive RR-interval differences (RMSSDc). Joint models with the Bayes approach were performed to assess the associations between longitudinal evolutions of heart rate and different HRV metrics with incident T2D during follow-up. Models were adjusted for age, sex, body mass index, smoking status, systolic blood pressure, total and high-density lipoprotein cholesterol, use of blood pressure-lowering or lipid-lowering medication, and prevalent cardiovascular disease. Spearmen correlation was used to examine the associations between HRV metrics and glycemic traits (fasting blood glucose, insulin, and homeostatic model assessment of insulin resistance (HOMA-IR) and beta-cell function (HOMA-β)) at baseline.
Results
During a median follow-up time of 8.6 years, 871 individuals developed T2D. Based on joint models, one standard deviation (SD) increment of heart rate (hazard ratio [HR], 1.21; 95% CI, 1.09–1.34), log(SDNNc) (HR, 1.10; 95% CI, 0.94–1.27), and log(RMSSDc) (HR, 1.15; 95% CI, 1.02–1.31) was associated with the risk of developing T2D in fully-adjusted models. Subgroup analyses suggested stronger associations among men. The HRs of incident T2D per SD increment were 1.25 (1.09, 1.43) for men and 1.16 (0.99, 1.35) for women for heart rate, 1.23 (1.01, 1.51) for men and 0.97 (0.78, 1.20) for women for log(SDNNc), and 1.24 (1.05, 1.48) for men and 1.09 (0.89, 1.31) for women for log(RMSSDc). Results did not change after excluding participants who were prediabetes at baseline or after exclusion of underweight participants. Spearmen correlation indicated that heart rate was significantly associated with baseline glycemic traits, while RMSSDc was only related to fasting blood glucose.
Conclusion
Our study suggests that both higher heart rate and heart rate variability are associated with an increased risk of T2D development, especially among men.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Erasmus MC and Erasmus University Rotterdam; Netherlands Organization for Scientific Research; Netherlands Organization for Health Research and Development (ZonMw); Research Institute for Diseases in the Elderly; Netherlands Genomics Initiative; Netherlands Ministry of Education, Culture and Science; Netherlands Ministry of Health, Welfare and Sports; European Commission; and Municipality of Rotterdam. We would like to thank the China Scholarship Council for the scholarship to K.W. Forest plot
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Chan VWS, Abul A, Ng HHL, Osman FH, Wang K, Cartledge J, Wah TM. 1637 Ablative Therapies Versus Partial Nephrectomy for Small Renal Masses: A Systematic Review and Meta-Analysis. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Introduction
The optimal management of small renal masses is unclear. Ablative therapies (AT) have been advocated as a potential alternative due to lower complication rates and non-inferior oncological outcomes. We performed a systematic review to compare AT and partial nephrectomy (PN) in patients with T1aN0M0 renal masses.
Method
This review is registered on PROSPERO (CRD42020199099). A search was performed on Medline, EMBASE, and Cochrane CENTRAL to identify studies comparing AT and PN. Different modalities and approaches were analysed as subgroups. Outcomes include cancer-specific survival (CSS), overall survival (OS), recurrence-free survival (RFS), metastatic-free survival (MFS), postoperative complications, and change in renal function.
Results
From 1,351 identified records, 30 studies incorporating 85,837 patients were included for meta-analysis. Patients receiving AT were found to have significantly worse CSS, OS, RFS when compared to patients receiving PN (p < 0.05). Patients undergoing AT have a non-inferior MFS and significantly fewer overall complications (HR: 0.79, 95% CI 0.41-1.51, p = 0.48; RR: 0.71, 95% CI 0.53-0.96, p = 0.03). Patients undergoing AT have a smaller decline in renal function post-operatively (SMD: 0.30, 95% CI 0.11-0.50). When limited to studies with propensity score matching, CSS and RFS are no longer significantly different between the two groups (HR: 1.54, 95% CI 0.67-3.52, p = 0.31, HR: 1.72, 95% CI 0.90-3.28, p = 0.10). Subgroup analyses did not show significant differences between different modalities and approaches of AT in all outcomes.
Conclusions
AT is potentially non-inferior to PN when managing small renal masses, and more high-quality propensity score-matched studies with long follow-up time are needed to confirm the non-inferiority.
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Zhao MJ, Mao AY, Yuan SS, Wang K, Dong P, Du S, Meng YL, Qiu WQ. [Research progress on building of disease control and prevention system of the international experience]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:1263-1269. [PMID: 34706515 DOI: 10.3760/cma.j.cn112150-20201117-01379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Through literature search in regular database and official websites of relevant countries, this paper combs and summarizes the main characteristics of disease prevention and control systems in five countries, the United States, Germany, South Korea, Australia and Japan, and the European Union at key levels including legal construction, organizational structure, financing, personnel construction and international cooperation, in order to provide decision support for the construction of disease prevention and control system in China in the future.
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Meng W, Meng J, Zhang F, Jiang H, Feng X, Zhao F, Wang K. Sulforaphane overcomes T790M-mediated gefitinib resistance in vitro through epithelial-mesenchymal transition. JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY : AN OFFICIAL JOURNAL OF THE POLISH PHYSIOLOGICAL SOCIETY 2021; 72. [PMID: 35158336 DOI: 10.26402/jpp.2021.5.09] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/30/2021] [Indexed: 06/14/2023]
Abstract
The purpose of the present study was to investigate the effects of sulforaphane (SFN) on gefitinib-resistant cell lines with a T790 mutation (PC-9/AB11). The PC-9 and PC-9/AB11 cells were stained with H&E and visualized with a light microscope. The CCK-8 assay method was used to evaluate the antiproliferative activity of gefitinib and SFN on the cells. Cell cycle arrest and apoptosis were analyzed via flow cytometry. The cytotoxic interaction between the two drugs was evaluated in vitro using the combination index method, and epithelial-mesenchymal transition (EMT)-related proteins and alterations in the signaling pathways were determined by Western blot analysis. Compared to the PC-9 cells, the gefitinib-resistant PC-9/AB11 cells acquired a T790M mutation and had characteristics in accordance with EMT. The combination of gefitinib and SFN induced dose-dependent antiproliferative effects in the PC-9 and PC-9/AB11 cells, while both induced cell cycle arrest and cell apoptosis only in the PC-9/AB11 cells. The synergistic effect in the PC-9/AB11 cells was associated with this drug combination, as it caused an expression change of the epithelial (E-cadherin, claudin-1) and matrix proteins (vimentin, N-cadherin) in the cells, related to the reversal of EMT, as well as an expression change of the epidermal growth factor receptor (EGFR), p-EGFR, p-AKT, and p-ERK proteins. In this study, SFN overcame T790M-mediated gefitinib resistance in vitro through EMT. Thus, a combination of gefitinib and SFN may be a beneficial treatment strategy for lung cancer patients with acquired resistance due to T790M mutation.
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Zhou Q, Wu Y, Chang J, Wang H, Fan Y, Zhao J, Wu G, Sun Y, Sun M, Wang X, Shi H, Nian W, Wang K, Zheng X, Qu L, Yao S, Shen Z, Li P, Yang J. MA02.02 Efficacy and Safety of Pralsetinib in Chinese Patients with Advanced RET Fusion+ Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.112] [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 K, Liu H. Early-Onset Subgroup of Type 2 Diabetes and Risk of Dementia, Alzheimer's Disease and Stroke: A Cohort Study. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2021; 8:442-447. [PMID: 34585218 DOI: 10.14283/jpad.2021.35] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND This study aimed to assess the relation of early-onset type 2 diabetes (age<55years) versus later in life to the risk of dementia, Alzheimer Disease (AD) dementia and stroke. METHODS This study was based on the Framingham Heart Study Offspring cohort (FHS-OS) which is a community-based prospective cohort. Glycemic status was ascertained at serial examinations over six decades among participants who initially did not have diabetes. Surveillance for incident events including dementia and stroke has been continued for approximately 30 years. RESULTS At baseline, there were 142 (5%) subjects with onset of diabetes prior to age 55 years, 172 (6%) subjects with 55-64 years, 349 (11%) subjects over 65 years and 2389 (78%) subjects without diabetes. The risk of dementia, AD and stroke increased with decreasing age of diabetes onset (P<0.05, for trend). Compared with never developing diabetes, early-onset diabetes conferred a higher risk of all dementia, AD dementia and stroke [HR 2.86(1.16-5.51) for dementia; HR 2.42(1.63-4.33) for AD; HR 2.85(1.37-3.98) for stroke]. Whereas later-onset diabetes was only associated with greater risk for stroke, neither dementia nor AD. CONCLUSION Early-onset diabetes was stronger associated with an increased risk of all dementia, AD dementia and stroke than later-onset.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dong X, Du SX, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fritsch M, Fu CD, Gao Y, Gao Y, Gao Y, Gao YG, Garzia I, Ge PT, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, Hüsken N, He KL, Heinsius FH, Heinz CH, Held T, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Andersson WI, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jiang HB, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth MG, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li JL, Li JQ, Li JS, Li K, Li LK, Li L, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu Q, Liu SB, Liu S, Liu T, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi H, Qi HR, Qi KH, Qi M, Qi TY, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan DC, Shan W, Shan XY, Shangguan JF, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Su KX, Su PP, Sui FF, Sun GX, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun WY, Sun X, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Teng JX, Thoren V, Tian WH, Tian YT, Uman I, Wang B, Wang CW, Wang DY, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang YY, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu GF, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang G, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang S, Zhang SF, Zhang S, Zhang XD, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu TJ, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Observation of D^{0}→K_{1}(1270)^{-}e^{+}ν_{e}. PHYSICAL REVIEW LETTERS 2021; 127:131801. [PMID: 34623854 DOI: 10.1103/physrevlett.127.131801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/28/2021] [Accepted: 08/18/2021] [Indexed: 06/13/2023]
Abstract
Using 2.93 fb^{-1} of e^{+}e^{-} collision data taken with the BESIII detector at a center-of-mass energy of 3.773 GeV, the observation of the D^{0}→K_{1}(1270)^{-}e^{+}ν_{e} semileptonic decay is presented. The statistical significance of the decay D^{0}→K_{1}(1270)^{-}e^{+}ν_{e} is greater than 10σ. The branching fraction of D^{0}→K_{1}(1270)^{-}e^{+}ν_{e} is measured to be (1.09±0.13_{-0.16}^{+0.09}±0.12)×10^{-3}. Here, the first uncertainty is statistical, the second is systematic, and the third originates from the assumed branching fraction of K_{1}(1270)^{-}→K^{-}π^{+}π^{-}. The fraction of longitudinal polarization in D^{0}→K_{1}(1270)^{-}e^{+}ν_{e} is determined for the first time to be 0.50±0.19_{stat}±0.08_{syst}.
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Guo Z, Wang K, Kadeer K, Cheng XJ, Aisha M. The efficacy and safety of flow-diverting device and coil embolization for intracranial aneurysms: a meta-analysis. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:5383-5391. [PMID: 34533790 DOI: 10.26355/eurrev_202109_26645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To compare the clinical efficacy and safety of flow-diverting device (FDD) and coil embolization therapy (CET) in the treatment of intracranial aneurysms through a meta-analysis. MATERIALS AND METHODS We comprehensively searched in PubMed, Embase, Cochrane Library, CNKI, Wan Fang, VIP databases, and China Biology Medicine disc (CBM) for eligible literature. Odds ratio (SMD) and 95% confidence intervals (CIs) were considered as effect measures. Statistical heterogeneity was tested by Cochran's Q statistic and I2 tests, and sensitivity analysis was used to evaluate the stability of research results. Publication bias was detected by funnel diagrams. RESULTS A total of 888 patients from 9 studies were finally enrolled in our analysis. Through meta-analysis, the results showed that the aneurysm occlusion rate in the FDD group was significantly higher than that in the CET group (OR, 95% CI=1.68, 1.20 to 2.36, p=0.002), and the retreatment rate after aneurysm operation in the FDD group was significantly lower than that in the FDD group (OR, 95% CI=0.40, 0.22 to 0.74, p=0.003). There was no significant difference in the proportion of mRS score (0-2) between the two groups during postoperative follow-up (OR, 95% CI=0.63, 0.20 to 1.94, p=0.43). In terms of safety, there was no significant difference in the incidence of postoperative complications (OR, 95% CI=1.11, 0.68 to 1.81, p=0.67) and mortality (OR, 95% CI=1.35, 0.53 to 3.42) between the two groups. CONCLUSIONS Compared with CET, FDD has achieved satisfactory results in increasing the rate of aneurysm occlusion and reducing the rate of retreatment of intracranial aneurysms. There is no significant difference in security between FDD and CET, though. These findings are reported in this paper, but because of the limitations of the included study, they need to be further verified by well-designed multicenter randomized controlled trials (RCT).
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dong X, Du SX, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fritsch M, Fu CD, Gao Y, Gao Y, Gao Y, Gao YG, Garzia I, Ge PT, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jiang HB, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth MG, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li JL, Li JQ, Li JS, Li K, Li LK, Li L, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu Q, Liu SB, Liu S, Liu T, Liu T, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi KH, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan DC, Shan W, Shan XY, Shangguan JF, Shao M, Shen CP, Shen HF, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Su KX, Su PP, Sui FF, Sun GX, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Teng JX, Thoren V, Tian WH, Tian YT, Uman I, Wang B, Wang CW, Wang DY, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang YY, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu CJ, Xu GF, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng XZ, Zeng Y, Zhang AQ, Zhang BX, Zhang G, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang S, Zhang SF, Zhang S, Zhang XD, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu TJ, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. First Measurement of the Absolute Branching Fraction of Λ→pμ^{-}ν[over ¯]_{μ}. PHYSICAL REVIEW LETTERS 2021; 127:121802. [PMID: 34597097 DOI: 10.1103/physrevlett.127.121802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
The absolute branching fraction of Λ→pμ^{-}ν[over ¯]_{μ} is reported for the first time based on an e^{+}e^{-} annihilation sample of 10×10^{9} J/ψ events collected with the BESIII detector at sqrt[s]=3.097 GeV. The branching fraction is determined to be B(Λ→pμ^{-}ν[over ¯]_{μ})=[1.48±0.21(stat)±0.08(syst)]×10^{-4}, which is improved by about 30% in precision over the previous indirect measurements. Combining this result with the world average of B(Λ→pe^{-}ν[over ¯]_{e}), we obtain the ratio {[Γ(Λ→pμ^{-}ν[over ¯]_{μ})]/[Γ(Λ→pe^{-}ν[over ¯]_{e})]} to be 0.178±0.028, which agrees with the standard model prediction assuming lepton flavor universality. The asymmetry of the branching fractions of Λ→pμ^{-}ν[over ¯]_{μ} and Λ[over ¯]→p[over ¯]μ^{+}ν_{μ} is also determined, and no evidence for CP violation is found.
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Wang K, Zhang H, Xu H, Lv Y, Shen X, Huang D, Zhang X. 1250P Differences of immune microenvironment among NSCLC patients with various KRAS mutation types. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1855] [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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178
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RB, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao XL, Gao Y, Gao Y, Gao YG, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guo YP, Guskov A, Han S, Han TT, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HB, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth MG, Kühn W, Lane JJ, Lange JS, Larin P, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JL, Li JQ, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu YB, Liu ZA, Liu ZQ, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schnier C, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song YX, Sosio S, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Weber T, Wei DH, Weidenkaff P, Weidner F, Wen HW, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao YJ, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xiong XA, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Yan L, Yan L, Yan WB, Yan WC, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan W, Yuan XQ, Yuan Y, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang G, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu ZA, Zou BS, Zou JH. Direct Measurement of the Branching Fractions B(ψ(3686)→J/ψX) and B(ψ(3770)→J/ψX), and Observation of the State R(3760) in e^{+}e^{-}→J/ψX. PHYSICAL REVIEW LETTERS 2021; 127:082002. [PMID: 34477419 DOI: 10.1103/physrevlett.127.082002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 06/21/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
We report a measurement of the observed cross sections of e^{+}e^{-}→J/ψX based on 3.21 fb^{-1} of data accumulated at energies from 3.645 to 3.891 GeV with the BESIII detector operated at the BEPCII collider. In analysis of the cross sections, we measured the decay branching fractions of B(ψ(3686)→J/ψX)=(64.4±0.6±1.6)% and B(ψ(3770)→J/ψX)=(0.5±0.2±0.1)% for the first time. The energy-dependent line shape of these cross sections cannot be well described by two Breit-Wigner (BW) amplitudes of the expected decays ψ(3686)→J/ψX and ψ(3770)→J/ψX. Instead, it can be better described with one more BW amplitude of the decay R(3760)→J/ψX. Under this assumption, we extracted the R(3760) mass M_{R(3760)}=3766.2±3.8±0.4 MeV/c^{2} , total width Γ_{R(3760)}^{tot}=22.2±5.9±1.4 MeV, and product of leptonic width and decay branching fraction Γ_{R(3760)}^{ee}B[R(3760)→J/ψX]=(79.4±85.5±11.7) eV. The significance of the R(3760) is 5.3σ. The first uncertainties of these measured quantities are from fits to the cross sections and second systematic.
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Qin LX, Xu JH, Zhao XY, Wang K, Qiu JX, Yu YY. [A case of primary biliary cholangitis stage I combined with portal hypertension]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2021; 29:799-802. [PMID: 34517464 DOI: 10.3760/cma.j.cn501113-20200814-00456] [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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180
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Chen Z, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dong X, Du S, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fritsch M, Fu C, Gao Y, Gao Y, Gao Y, Gao Y, Garzia I, Ge P, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, He K, Heinsius F, Heinz C, Held T, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Hüsken N, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jiang H, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li P, Li S, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Lin C, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu L, Liu M, Liu P, Liu Q, Liu Q, Liu S, Liu S, Liu T, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Poling R, Prasad V, Qi H, Qi H, Qi K, Qi M, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan D, Shan W, Shan X, Shangguan J, Shao M, Shen C, Shen H, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song W, Song Y, Sosio S, Spataro S, Su K, Su P, Sui F, Sun G, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang C, Wang D, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xu G, Xu Q, Xu W, Xu X, Xu Y, Yan F, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan X, Yuan Y, Yuan Z, Yue C, Zafar A, Zeng XZ, Zeng Y, Zhang A, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang S, Zhang S, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu T, Zhu W, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Measurement of the branching fraction of leptonic decay
Ds+→τ+ντ
via
τ+→π+π0ν¯τ. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.032001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Ji GW, Wang K, Xia YX, Li XC, Wang XH. [Application value of machine learning algorithms for predicting recurrence after resection of early-stage hepatocellular carcinoma]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2021; 59:679-685. [PMID: 34192861 DOI: 10.3760/cma.j.cn112139-20201026-00768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the performance of multiple machine learning algorithms in predicting recurrence after resection of early-stage hepatocellular carcinoma(HCC). Methods: Clinical data of 882 early-stage HCC patients who were admitted to the First Affiliated Hospital of Nanjing Medical University from May 2009 to December 2019 and treated with curative surgical resection were retrospectively collected. There were 701 males and 181 females,with an age of (57.3±10.5)years(range:21 to 86 years). All patients were randomly assigned in a 2∶1 ratio, the training dataset consisted of 588 patients and the test dataset consisted of 294 patients. The construction of machine learning-based prediction models included random survival forest(RSF),gradient boosting machine,elastic net regression and Cox regression model. The prediction accuracy of the model was measured by the concordance index(C-index). The prediction error of the model was measured by the integrated Brier score. Model fit was assessed by the calibration plot. The performance of machine learning models with that of rival model and HCC staging systems was compared. All models were validated in the independent test dataset. Results: Median recurrence-free survival was 61.7 months in the training dataset while median recurrence-free survival was 61.9 months in the validation dataset, there was no significant difference between two datasets in terms of recurrence-free survival(χ²=0.029,P=0.865). The RSF model consisted of 5 commonly used clinicopathological characteristics, including albumin-bilirubin grade,serum alpha fetoprotein,tumor number,type of hepatectomy and microvascular invasion. In both training and test datasets,the RSF model provided the best prediction accuracy,with respective C-index of 0.758(95%CI:0.725 to 0.791) and 0.749(95%CI:0.700 to 0.797),and the lowest prediction error,with respective integrated Brier score of 0.171 and 0.151. The prediction accuracy of RSF model for recurrence after resection of early-stage HCC was superior to that of other machine learning models,rival model(ERASL model) as well as HCC staging systems(BCLC,CNLC and TNM staging),with statistically significant difference(P<0.01). Calibration curves demonstrated good agreement between RSF model-predicted probabilities and observed outcomes.All patients could be stratified into low-risk,intermediate-risk or high-risk group based on RSF model;statistically significant differences among three risk groups were observed in both training and test datasets(P<0.01). The risk stratification of RSF model was superior to that of TNM staging. Conclusion: The proposed RSF model assembled with 5 commonly used clinicopathological characteristics in this study can predict the recurrence risk with favorable accuracy that may facilitate clinical decision-support for patients with early-stage HCC.
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Virinthorn RNVC, Chandrasekaran M, Wang K, Goh KL. Post-process optimization of 3D printed poly(lactic-co-glycolic acid) dental implant scaffold for enhanced structure and mechanical properties: effects of sonication duration and power. JOURNAL OF MATERIALS SCIENCE. MATERIALS IN MEDICINE 2021; 32:91. [PMID: 34331583 PMCID: PMC8325663 DOI: 10.1007/s10856-021-06561-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
We described a technique of a post-process stage to partially remove the poly(vinyl alcohol) (PVA) binder in Poly(lactic-co-glycolic acid) (PLGA) dental scaffolds. The scaffolds were exposed to ultrasonic waves while immersed in an ethanol/acetone solvent mixture that possessed both polar and nonpolar properties. A factorial experiment was conducted in which the scaffolds were treated to three levels of sonication power (pW): 0, 20% (22 W) and 40% (44 W), and soaking duration (t): 5, 15, and 30 min. The treated scaffolds were characterized by FT-IR, optical microscopy, and mechanical (compressive) testing. FT-IR revealed that the amount of PVA decreased with increasing pW and t. Two-way ANOVA revealed that increasing pW and t, respectively, resulted in increasing scaffold surface area to volume (SVR). Sonication and solvent caused structural damage (i.e., unevenness) on the scaffold surface, but the damage was minimal at 20% pW and 30 min. The optimal values of pW and t resulting in enhanced fracture strength, strain and toughness were 20% and 30 min, respectively, which corroborated the findings of minimal structural damage. However, sonication had no significant effects on the scaffold stiffness. Mechanistic analysis of the effects of sonication predicted that the ultrasonic energy absorbed by the scaffold was sufficient to disrupt the van Der Waals bonds between the PVA and PLGA but not high enough to disrupt the covalent bonds within the PLGA. This technique is promising as it can partially remove the PVA from the scaffold, and mitigate problematic issues down the line, such as thermal degradation during sterilization, and undue delay/variability in biodegradation.
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Anita, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett J, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai J, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Du S, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Fritsch M, Fu C, Fu Y, Gao X, Gao Y, Gao Y, Gao Y, Garzia I, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guo Y, Guskov A, Han S, Han T, Han T, Hao X, Harris F, He K, Heinsius F, Held T, Heng Y, Himmelreich M, Holtmann T, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Jiang H, Jiang X, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li J, Li J, Li K, Li L, Li L, Li P, Li P, Li S, Li W, Li W, Li X, Li X, Li Z, Li Z, Liang H, Liang H, Liang Y, Liang Y, Liao L, Libby J, Lin C, Liu B, Liu B, Liu C, Liu D, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu Q, Liu S, Liu S, Liu T, Liu X, Liu Y, Liu Z, Liu Z, Long Y, Lou X, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lusso S, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Ma X, Ma Y, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pitka A, Poling R, Prasad V, Qi H, Qi H, Qi M, Qi T, Qian S, Qian WB, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Shan D, Shan W, Shan X, Shao M, Shen C, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song Q, Song W, Song Y, Sosio S, Spataro S, Sui F, Sun G, Sun J, Sun L, Sun S, Sun T, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang B, Wang C, Wang D, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidenkaff P, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Y, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xiong X, Xu G, Xu J, Xu Q, Xu W, Xu X, Yan L, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang R, Yang S, Yang Y, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan W, Yuan X, Yuan Y, Yuan Z, Yue C, Yuncu A, Zafar A, Zeng Y, Zhang B, Zhang G, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang S, Zhang T, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu W, Zhu X, Zhu Y, Zhu Z, Zou B, Zou J. Amplitude analysis and branching fraction measurement of
Ds+→K+K−π+. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.012016] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Luo B, Wang K. [Radical surgery for colon cancer guided by membrane anatomy theory]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2021; 24:581-586. [PMID: 34289541 DOI: 10.3760/cma.j.cn.441530-20210314-00111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Like other solid tumors, colon cancer surgery has undergone a century-old journey from lumpectomy to organ resection and then to lymphadenectomy. From the Toldt fascia to complete mesenteric resection, and from local resection to D3 radical treatment, local recurrence rates have been reduced, but remain a nuisance to surgeons and patients. Based on the theory of membrane anatomy, radical surgery for colon cancer will focus more on removing the mesocolon from the mesentery bed while maintaining the integrity of the posterior fascia to avoid the occurrence of "fifth metastasis" as much as possible. Thanks to the membrane anatomy theory, its strong reproducibility and replicability, a new phase of colorectal surgery is on the horizon.
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Chen Z, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dong X, Du S, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fritsch M, Fu C, Gao Y, Gao Y, Gao Y, Gao Y, Garzia I, Ge P, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, Hüsken N, He K, Heinsius F, Heinz C, Held T, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Andersson WI, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jiang H, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li P, Li S, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Lin C, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu L, Liu M, Liu P, Liu Q, Liu Q, Liu S, Liu S, Liu T, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Poling R, Prasad V, Qi H, Qi H, Qi K, Qi M, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan D, Shan W, Shan X, Shangguan J, Shao M, Shen C, Shen H, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song W, Song Y, Sosio S, Spataro S, Su K, Su P, Sui F, Sun G, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang C, Wang D, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xu G, Xu Q, Xu W, Xu X, Xu Y, Yan F, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan X, Yuan Y, Yuan Z, Yue C, Yuncu A, Zafar A, Zeng X, Zeng Y, Zhang A, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang S, Zhang S, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu T, Zhu W, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Study of the decay
D+→K*(892)+KS0
in
D+→K+KS0π0. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.012006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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186
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Chen Z, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dong X, Du S, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fritsch M, Fu C, Gao Y, Gao Y, Gao Y, Gao Y, Garzia I, Ge P, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, He K, Heinsius F, Heinz C, Held T, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Hüsken N, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jiang H, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li P, Li S, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Lin C, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu L, Liu M, Liu P, Liu Q, Liu Q, Liu S, Liu S, Liu T, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pogodin S, Poling R, Prasad V, Qi H, Qi H, Qi K, Qi M, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan D, Shan W, Shan X, Shangguan J, Shao M, Shen C, Shen H, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song W, Song Y, Sosio S, Spataro S, Su K, Su P, Sui F, Sun G, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang C, Wang D, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xu G, Xu Q, Xu W, Xu X, Xu Y, Yan F, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan X, Yuan Y, Yuan Z, Yue C, Zafar A, Zeng XZ, Zeng Y, Zhang A, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang S, Zhang S, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu T, Zhu W, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Measurement of the absolute branching fraction of inclusive semielectronic
Ds+
decays. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.012003] [Citation(s) in RCA: 3] [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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Song J, Wu J, Poulet B, Liang J, Bai C, Dang X, Wang K, Fan L, Liu R. Proteomics analysis of hip articular cartilage identifies differentially expressed proteins associated with osteonecrosis of the femoral head. Osteoarthritis Cartilage 2021; 29:1081-1092. [PMID: 33892138 DOI: 10.1016/j.joca.2021.04.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 03/16/2021] [Accepted: 04/12/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The cartilage degeneration that accompanies subchondral bone necrosis plays an important role in the development of osteonecrosis of femoral head (ONFH). To better understand the molecular basis of cartilage degradation in ONFH, we compared the proteomic profiles of ONFH cartilage with that of fracture control. DESIGN Hip cartilage samples were collected from 16 ONFH patients and 16 matched controls with femoral neck fracture. Proteomics analysis was conducted using tandem mass tag-based quantitation technique. Gene ontology (GO) analysis, KEGG pathway and protein-protein interaction analysis were used to investigate the functions of the altered proteins and biological pathways. Differentially expressed proteins including alpha-2-HS-glycoprotein (AHSG) and Cytokine-like protein 1 (Cytl1) were validated by Western blot (WB) and immunohistochemistry (IHC). RESULTS 303 differentially expressed proteins were identified in ONFH cartilage with 72 up-regulated and 231 down-regulated. Collagen turnover, glycosaminoglycan biosynthesis, metabolic pathways, and complement and coagulation cascades were significantly modified in ONFH cartilage. WB and IHC confirmed the increased expression of AHSG and decreased expression of Cytl1 in ONFH cartilage. CONCLUSIONS Our results reveal the implication of altered protein expression in the development of ONFH, and provide novel clues for pathogenesis studies of cartilage degradation in ONFH.
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Qu Y, Wang K, Lin S, Cao L, Xu Z. Efficacy and safety of glucokinase activators for type 2 diabetes mellitus therapy: a meta-analysis of double-blind randomized controlled trials. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:914-922. [PMID: 33577046 DOI: 10.26355/eurrev_202101_24660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We aimed to assess the efficacy and safety of oral glucokinase activator (GKA) in the treatment of type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS We searched and collected randomized controlled trials (RCTs) of glucokinase activators in the treatment of T2DM from PubMed, ClinicalTrails, Cochrane Library, Web of Science, and CNKI databases. Revman5.3 software was used to do the meta-analysis, and the Cochrane tool was used to evaluate the risk of bias in the included RCTs. RESULTS Seven double-blind RTCs were included in the final analysis, with a total of 762 patients. For the efficacy, the meta-analysis found that GKAs lowed the levels of fasting blood glucose (FPG) (mean difference -0.71, 95% CI: -1.11 to -0.31, based on 459 patients from 5 works of literature) and glycated hemoglobin (HbA1c) (mean difference: -0.65%, 95% CI: -0.82 to -0.48, based on 570 patients from 4 works of literature). Subgroup analysis showed GKAs combined with metformin, but not used alone, reduced the levels of FPG. In terms of safety, GKAs did not affect the total rate of adverse events (AEs). GKAs did not affected the risks of diarrhea (RR 1.59, 95% CI: 0.7 to 3.65, p =0.26), headache (RR 0.96, 95% CI: 0.41-2.21, p =0.60), and nausea (RR 2.23, 95% CI: 0.55-9.12, p =0.24), but they increased the risk of hypoglycemia (RR 1.81, 95% CI: 1.35 to 2.42, p <0.0001, based on 570 patients from 4 literatures). CONCLUSIONS Oral GKAs combined with metformin has an evident hypoglycemic effect on T2DM, and they seem to be relatively good tolerant. Further clinical studies are still necessary to explore its long-term efficacy and safety.
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Han C, Meng XC, Sun C, Dong C, Zheng WP, Wang K, Qin H, Yang Y, Zhang FB, Xu M, Cao SQ, Gao W. [Risk factors of blood loss during liver transplantation in children with biliary atresia and its influence on prognosis]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2021; 59:491-496. [PMID: 34102733 DOI: 10.3760/cma.j.cn112139-20200810-00626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objectives: To study the risk factors for massive intraoperative blood loss in children with biliary atresia who underwent liver transplantation for the first time,and to analyze their impacts on graft survival,hospital stay and postoperative complications. Methods: The data of 613 children with biliary atresia who underwent liver transplantation at Department of Pediatric Organ Transplantation,Tianjin First Central Hospital from January 2015 to December 2018 were collected and analyzed. There were 270 males and 343 females, aged 7.4 (3.9) months (range: 3.2 to 148.4 months), the body weight of the recipients were (7.8±3.5) kg (range: 4.0 to 43.3 kg).According to the 85th quad of estimated blood loss(EBL),they were divided into two groups:massive EBL group(96 cases) and non massive EBL group(517 cases). The age,height,weight and other factors between the two groups were analyzed and compared. Univariate Logistic regression and multiple stepwise regression were used to determine the risk factors of massive EBL. Then,the postoperative complications of the two groups,including portal vein thrombosis and portal vein anastomotic stenosis etc.,were analyzed and compared by chi square test. Kaplan Meier curve and log rank test were used to analyze the recipient and graft survival rate of the two groups. Results: During the study period,713 transplants were performed and 613 patients were enrolled in the study. Ninety-six patients(15.7%) had massive EBL,and the postoperative hospital stay was 21(16) days(range:2 to 116 days),the hospital stay of non-massive EBL group was 22(12)days(range:3 to 138 days)(U=24 224.0,P=0.32). Univariate Logistic regression analysis showed that the recipient's weight,Kasai portoenterostomy,platelet count,operation time and cold ischemia time were the risk factors of massive EBL during biliary atresia transplantation. Multiple regression analysis showed that cold ischemia time ≥10 hours,prolonged operation time(≥8 hours) and body weight<5.5 kg were important independent risk factors for massive EBL.The incidence of portal vein thrombosis,hepatic vein stenosis,intestinal leakage and pulmonary infection in patients with massive EBL were significantly higher than those without massive EBL(3.1% vs. 0.8%,9.4% vs. 2.1%,6.3% vs. 0.8%,30.2% vs. 20.1%,all P<0.05). The 3-year overall graft and recipient survival rate were significantly lower in patients with massive EBL than those without massive EBL(87.5% vs. 95.7%,P=0.001;84.4% vs. 95.4%,P<0.01,respectively). Conclusions: In children with biliary atresia who underwent liver transplantation for the first time,the effective control of intraoperative bleeding should shorten the operation time and reduce the cold ischemia time as far as possible,on the premise of ensuring the safety of operation. For children without growth disorder,the weight of children should be increased to more than 5.5 kg as far as possible to receive the operation. Reducing intraoperative bleeding is of great significance to the prognosis of children.
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Wang K, Li Y, Wang J, Chen R, Li J. A novel 12-gene signature as independent prognostic model in stage IA and IB lung squamous cell carcinoma patients. Clin Transl Oncol 2021; 23:2368-2381. [PMID: 34028782 DOI: 10.1007/s12094-021-02638-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/06/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND There is currently no formal consensus on the administration of adjuvant chemotherapy to stage I lung squamous cell carcinoma (LUSC) patients despite the poor prognosis. The side effects of adjuvant chemotherapy need to be balanced against the risk of tumour recurrence. Prognostic markers are thus needed to identify those at higher risks and recommend individualised treatment regimens. METHODS Clinical and sequencing data of stage I patients were retrieved from the Lung Squamous Cell Carcinoma project of the Cancer Genome Atlas (TCGA) and three tissue microarray datasets. In a novel K-resample gene selection algorithm, gene-wise Cox proportional hazard regressions were repeated for 50 iterations with random resamples from the TCGA training dataset. The top 200 genes with the best predictive power for survival were chosen to undergo an L1-penalised Cox regression for further gene selection. RESULTS A total of 602 samples of LUSC were included, of which 42.2% came from female patients, 45.3% were stage IA cancer. From an initial pool of 11,212 genes in the TCGA training dataset, a final set of 12 genes were selected to construct the multivariate Cox prognostic model. Among the 12 selected genes, 5 genes, STAU1, ADGRF1, ATF7IP2, MALL and KRT23, were adverse prognostic factors for patients, while seven genes, NDUFB1, CNPY2, ZNF394, PIN4, FZD8, NBPF26 and EPYC, were positive prognostic factors. An equation for risk score was thus constructed from the final multivariate Cox model. The model performance was tested in the sequestered TCGA testing dataset and validated in external tissue microarray datasets (GSE4573, GSE31210 and GSE50081), demonstrating its efficacy in stratifying patients into high- and low-risk groups with significant survival difference both in the whole set (including stage IA and IB) and in the stage IA only subgroup of each set. The prognostic power remains significant after adjusting for standard clinical factors. When benchmarked against other prominent gene-signature based prognostic models, the model outperformed the rest in the TCGA testing dataset and in predicting long-term risk at eight years in all three validation datasets. CONCLUSION The 12-gene prognostic model may serve as a useful complementary clinical risk-stratification tool for stage I and especially stage IA lung squamous cell carcinoma patients to guide clinical decision making.
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Chen Z, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dong X, Du S, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fritsch M, Fu C, Gao Y, Gao Y, Gao Y, Gao Y, Garzia I, Ge P, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, He K, Heinsius F, Heinz C, Held T, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Hüsken N, Andersson WI, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jiang H, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li P, Li S, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Lin C, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu L, Liu M, Liu P, Liu Q, Liu Q, Liu S, Liu S, Liu T, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lusso S, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Poling R, Prasad V, Qi H, Qi H, Qi K, Qi M, Qi T, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan D, Shan W, Shan X, Shangguan J, Shao M, Shen C, Shen H, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song W, Song Y, Sosio S, Spataro S, Su K, Su P, Sui F, Sun G, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang C, Wang D, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidenkaff P, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xu G, Xu Q, Xu W, Xu X, Xu Y, Yan F, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan X, Yuan Y, Yuan Z, Yue C, Zafar A, Zeng XZ, Zeng Y, Zhang A, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang S, Zhang S, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu T, Zhu W, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Search for the decay
Ds+→a0(980)0e+νe. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Ahmadizar F, Wang K, Mattace Raso F, Ikram MA, Kavousi M. Associations of markers of arterial stiffness and remodeling with new-onset type 2 diabetes mellitus. Eur J Prev Cardiol 2021. [DOI: 10.1093/eurjpc/zwab061.394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background. Arterial stiffness/remodeling results in impaired blood flow and, eventually, decreased glucose disposal in peripheral tissues and increased blood glucose. Besides, increased arterial stiffness/remodeling may lead to hypertension, as a potential reciprocal risk factor for type 2 diabetes mellitus (T2D). We, therefore, hypothesized that increased arterial stiffness/remodeling is associated with an increased risk of T2D. Purpose. To study the associations between arterial stiffness/remodeling and incident T2D. Methods. We used the prospective population-based Rotterdam Study. Common carotid arterial properties were ultrasonically determined in plaque-free areas. Aortic stiffness was estimated by carotid-femoral pulse wave velocity (cf_PWV), carotid stiffness was estimated by the carotid distensibility coefficient (carDC). Arterial remodeling was estimated by carotid artery lumen diameter (carDi), carotid intima-media thickness (cIMT), mean circumferential wall stress (CWSmean), and pulsatile circumferential wall stress (CWSpuls). Cox proportional hazard regression analysis was used to estimate the associations between arterial stiffness/remodeling and the risk of incident T2D, adjusted for age, sex, cohort, mean arterial pressure (MAP), antihypertensive medications, heart rate, non- high-density lipoprotein (HDL)-cholesterol, lipid-lowering medications, and smoking. We included interaction terms in the fully adjusted models to study whether any significant associations were modified by sex, age, blood glucose, or MAP. Spearman correlation analyses were applied to examine the correlations between measurements of arterial stiffness/remodeling and glycemic traits. Results. We included 3,055 individuals free of T2D at baseline (mean (SD) age, 67.2 (7.9) years). During a median follow-up of 14.0 years, 395 (12.9%) T2D occurred. After adjustments, higher cf_PWV (hazard ratio (HR),1.18; 95%CI:1.04-1.35), carDi (1.17; 1.04-1.32), cIMT (1.15; 1.01-1.32), and CWSpuls (1.28; 1.12-1.47) were associated with increased risk of incident T2D. After further adjustment for the baseline glucose, the associations attenuated but remained statistically significant. Sex, age, blood glucose, or MAP did not modify the associations between measurements of arterial stiffness/remodeling, and incident T2D. Among the population with prediabetes at baseline (n = 513) compared to the general population, larger cIMT was associated with a greater increase in the risk of T2D. Most measurements of arterial stiffness/remodeling significantly but weakly correlated with baseline glycemic traits, particularly with blood glucose. Conclusions. Our study suggests that greater arterial stiffness/remodeling is independently associated with an increased risk of T2D development. Blood glucose and hypertension do not seem to play significant roles in these associations. Further studies should disentangle the underlying mechanism that links arterial stiffness/remodeling and T2D.
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Liu XF, Wang K, Du HC. LncRNA SNHG6 regulating Hedgehog signaling pathway and affecting the biological function of gallbladder carcinoma cells through targeting miR-26b-5p. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 24:7598-7611. [PMID: 32744686 DOI: 10.26355/eurrev_202007_22258] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Long-chain non-coding RNA (LncRNA) is abnormally expressed in various malignant tumors. In recent years, it has been found that the expression of LncRNA SNHG6 is upregulated in gallbladder carcinoma tissues, which participated in the occurrence and development of gallbladder carcinoma. However, the clinical value of SNHG6 in gallbladder cancer serum is not clear, and there are few studies regulating the biological function of gallbladder carcinoma cells. This study aimed to investigate LncRNA SNHG6 and miR-26b-5p in gallbladder carcinoma and its related mechanisms. PATIENTS AND METHODS From February 2017 to February 2019, altogether 68 cases of gallbladder cancer patients admitted to the Yantai Yeda Hospital were collected as a study group, 70 healthy people as a control group. Gallbladder cancer cells and human colorectal mucosa cells were purchased. Sh-SNHG6, si-SNHG6, NC, miR-26b-5p-inhibitor, and miR-26b-5p-mimics were transfected into GBC-SD and NOZ cells. For the detection of SNHG6 and miR-26b-5p in samples we used qRT-PCR, WB was applied for the decreased protein expression of Gli1, Gli2, Shh, Smo, N-cadherin, vimentin, Snail, E-Cadherin, and Gli3 in cells. MTT assay was applied for the detection of cell proliferation, transwell assay for cell invasion, and flow cytometry assay for apoptosis. RESULTS SNHG6 was highly expressed in gallbladder carcinoma, miR-26b-5p was downregulated, and the area under curve (AUC) of LncRNA SNHG6 and miR-26b-5p was more than 0.8. LncRNA SNHG6 and miR-26b-5p were related to age, sex, tumor invasion, differentiation degree, tumor location, and tumor-node-metastasis (TNM) staging of gallbladder cancer patients. Silencing of SNHG6 and upregulation of miR-26b-5p could promote cell apoptosis, inhibit cell growth, and epithelial-mesenchymal transition (ETM). Silencing of SNHG6 and upregulation of miR-26b-5p could inhibit Gli1, Gli2, Shh, Smo, N-cadherin, vimentin and Snail proteins, and promote upregulation of Gli3 and E-Cadherin expression. Dual-Luciferase report confirmed that SNHG6 and miR-26b-5p have targeted relationship. Rescue experiments showed that after co-transfecting sh-SNHG6+miR-26b-5p-mimics, and si-SNHG6+miR-26b-5p-inhibitor into GBC-SD and NOZ, the proliferation, invasion and apoptosis of cells were not different from those of miR-NC group without transfection sequence. CONCLUSIONS Inhibition of LncRNA SNHG6 expression can upregulate miR-26b-5p mediated Hedgehog signaling pathway, affect epithelial-mesenchymal transition, proliferation and invasion of cells, so LncRNA SNHG6is hoped to be a latent therapeutic target for gallbladder carcinoma.
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Zhang XM, Meng QH, Kong FF, Wang K, Du LJ. SLC5A8 regulates the biological behaviors of cervical cancer cells through mediating the Wnt signaling pathway. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 24:4679-4686. [PMID: 32432731 DOI: 10.26355/eurrev_202005_21155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study aims to investigate the role of solute transport family 5 member 8 (SLC5A8) in the progress of cervical cancer (CC) to provide a theoretical basis for the treatment of CC. PATIENTS AND METHODS Tissues were obtained from 58 patients diagnosed with CC in our hospital. Real Time-quantitative Polymerase Chain Reaction (RT-qPCR) analysis was used to detect the expression level of SLC5A8 in CC tissues and cell lines. SLC5A8 level was up-regulated by transfection of SLC5A8 overexpression plasmid. MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay and flow analysis were designed to measure the cell proliferation, cell cycle, and apoptosis of CC cells. RESULTS The mRNA expression of SLC5A8 was down-regulated in CC tissues and cell lines. Transfection of SLC5A8 overexpression plasmid successfully over-expressed SLC5A8. In addition, an inhibited activation of Wnt signaling pathway was detected in CC cells after over-expression of SLC5A8. Besides, decreased proliferation activity and increased apoptosis were also observed in CC cells overexpressing SLC5A8 plasmid. Moreover, the impaired proliferation activity and increased apoptosis proportion of CC cells induced by SLC5A8 over-expression could be counteracted by the Wnt signaling pathway activator LiCl. CONCLUSIONS SLC5A8 alleviates the progression of CC by regulating the Wnt signaling pathway.
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Yu Y, Xia L, Zhou J, Wang K, Zhang Y, Zhang C, Liu A, Fan Y, Chang J, Wang L, Liu Y, Lu S. 147P PD-L1 expression influenced by osimertinib treatment in advanced EGFR T790M-positive non-small cell lung cancer patients. J Thorac Oncol 2021. [DOI: 10.1016/s1556-0864(21)01989-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Qian J, Wang M, You H, Luo J, Li S, Chen S, Chen Y, Li X, Wang K, Zhang W, Yuan L, Ni L, Chen J. POS-045 EARLY RENAL REPLACEMENT THERAPY MAY REDUCE THE ALL-CAUSE MORTALITY OF SEVERE COVID-19. Kidney Int Rep 2021. [PMCID: PMC8049697 DOI: 10.1016/j.ekir.2021.03.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Zhao F, Guan SZ, Wang K, Fu YJ, Liu HY, Chen XH, Qi FQ, Liu ZH. [Effects of chronic stress during pregnancy on composition and diversity of intestinal microbiota in female rats and offspring]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2021; 39:161-168. [PMID: 33781029 DOI: 10.3760/cma.j.cn.121094-20200310-00121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effect of chronic stress of pregnant rats on the gut microbiota of female rats and offspring, and explore the role of intestinal microbiota in chronic stress during pregnancy. Methods: In November 2019, SPF-grade healthy adult SD rats were selected. 16 female rats were randomly divided into control group and model group, with 8 in each group; 12 male rats were randomly divided into model mating group (8) and control mating group (4) . A model of chronic unpredictable mild stress (CUMS) during pregnancy was established. Blood samples were collected from the iliac vein of the female rats 1 day before and 1, 7, and 14 days after the CUMS protocol, and measured for plasma corticosterone content by radioimmunoassay. After the stress was completed, fresh feces of the female rats were collected for testing. The offspring's fresh stool samples were collected on postnatal day 20 (PND20) , and they were divided into control offspring group and model offspring group samples. The sequence of 16S rRNAV3-V4 regions of microorganisms in the feces of offspring was determined by Illumina MiSeq technique; and the interaction between microbial community structure and diversity were analyzed. Results: The content of plasma corticosterone in the model group was higher than that in the control group on the 7th and 14th day of stress (P<0.05) . Compared with the control group, the Sobs index, Chao index, ACE index and Shannon index of the model group were decreased (P<0.05) . The number of unique species abundance (OTU) in the control group was 130, and 91 in the model group. The relative abundance of female Firmicutes in the control group (64.87%) was higher than that in the model group, and the relative abundance of Bacteroides (31.72%) was lower than that of the model group (46.35%) . The Sobs index, Chao index, ACE index, Simpson index and Shannon index of the control offspring group were higher than those of the model offspring group (P<0.05) . The number of unique OTUs in the model offspring group was 75, and 93 in the control offspring group. The relative abundance of Firmicutes (60.24%) in the control offspring group was higher than that of the model offspring group (52.95%) . Conclusion: Chronic stress during pregnancy can not only lead to the disorder of intestinal flora in female rats, but also lead to the change of intrauterine environment, thus affecting the diversity of intestinal flora in offspring.
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Zhu FY, Gan CW, Wang MX, Sun BC, Li FJ, Qiu YH, Wang K. MiR-146a-5p inhibits proliferation and promotes apoptosis of oral squamous cell carcinoma cells by regulating NF-κB signaling pathway. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 24:3717-3723. [PMID: 32329848 DOI: 10.26355/eurrev_202004_20835] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the function and potential mechanism of micro ribonucleic acid (miR)-146a-5p in oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS The expression of miR-146a-5p in OSCC tissues and cell lines was examined by quantitative Reverse Transcription-Polymerase Chain Reaction (qRT-PCR) analysis. Then, the role of miR-146a-5p in proliferation was analyzed by Cell Counting Kit-8 (CCK-8) assay. Besides, the proliferation and apoptosis of OSCC cells were detected by the colony formation assay and flow cytometry, respectively. Finally, the regulatory effect of miR-146a-5p/nuclear factor-kappa B subunit 1 (NF-κB1) was determined by Western blotting assay and Luciferase reporter assay system. RESULTS The expression of miR-146a-5p was markedly upregulated in OSCC cell lines. In addition, the silence of miR-146a-5p inhibited the proliferation and promoted the apoptosis of OSCC cells. According to the results of the Western blotting analysis and Luciferase reporter gene assay, NF-κB1 was identified as a direct target of miR-146a-5p. Moreover, the downregulation of NF-κB1 restored the inhibitory effect of silenced miR-146a-5p on the proliferation of SCC-9 cells. CONCLUSIONS MiR-146a-5p can inhibit the proliferation and accelerate the apoptosis of OSCC cells by directly targeting NF-κB1, and it plays a carcinogenic role in OSCC.
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Wang LJ, Wang HW, Jin KM, Liu W, Bao Q, Wang K, Xing BC. [Comparative study on prognosis of neoadjuvant chemotherapy followed by hepatic surgery versus upfront surgery in patients with synchronous colorectal liver metastasis]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2021; 24:248-255. [PMID: 34645169 DOI: 10.3760/cma.j.cn.441530-20200606-00346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the survival outcome in patients with synchronous colorectal cancer liver metastasis receiving neoadjuvant chemotherapy followed by hepatic surgery versus upfront surgery strategies. Methods: A retrospective cohort study was carried out. Data of patients undergoing surgery at the Department of Hepatopancreatobiliary Surgery Unit I of Peking University Cancer Hospital from January 2008 to December 2018 for initially resectable synchronous colorectal liver metastasis were retrospectively collected. A total of 282 cases were enrolled, including 244 in the neoadjuvant chemotherapy group, 38 in the upfront surgery first group. The overall survival (OS) and progression-free survival (PFS) of the two groups were compared. A propensity score risk adjustment was used to eliminate potential bias between groups, and the covariates including sex, age, location of primary tumor, T stage, clinical risk score (CRS), RAS gene status, adjuvant chemotherapy, and resection margin status were included for adjustment. Results: In the neoadjuvant chemotherapy group, 244 cases received 4 (1-15) cycles of chemotherapy before hepatic resection, among whom 207 cases received oxaliplatin-based regimens, 37 cases received irinotecan-based regimens, and 90 cases received combined targeted agents in the first line treatment. The median follow-up time was 30 (5-134) months, and loss of follow-up was 1%. Before adjustment, Kaplan-Meier survival analysis showed that the 1-year and 3-year OS rates in the neoadjuvant chemotherapy group (95.1% and 66.4%) were better than those in the upfront surgery first group (94.7% and 51.5%, P=0.026); 1-year and 3-year PFS rates in neoadjuvant chemotherapy group (51.0% and 23.4%) were also better than those in surgery first group (39.5% and 11.5%, P=0.039). After propensity score risk adjustment, Cox multivariate analysis indicated that neoadjuvant chemotherapy was an independent protective factor of PFS (HR=0.664, 95% CI: 0.449-0.982, P=0.040), however, neoadjuvant chemotherapy was not an independent protective factor of OS (HR=0.651, 95% CI: 0.393-1.079, P=0.096). Subgroup analysis showed that the 1-year and 3-year OS rates in the patients with response to the first line treatment (194, including complete remission, partial remission and reduction but not partial remission) (96.9% and 67.1%) were better than those in the upfront surgery group (94.7% and 51.5%, P=0.026) after adjustment. However, the 1-year and 3-year OS rates in the patients without response to the first line treatment (50, including tumor progression or enlargement) were 90.0% and 63.3%, respectively, which were not significantly different with 94.7% and 51.5% in the upfront surgery group (P=0.310) after adjustment. Conclusions: For patients with resectable synchronous colorectal cancer liver metastasis, liver resection after neoadjuvant chemotherapy can provide longer PFS than upfront surgery. Although the whole OS benefit is not significant, patients with effective neoadjuvant first-line chemotherapy have better OS than those undergoing upfront surgery.
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Han D, Wang K, Zhang T, Gao GC, Xu H. Natural killer cell-derived exosome-entrapped paclitaxel can enhance its anti-tumor effect. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 24:5703-5713. [PMID: 32495906 DOI: 10.26355/eurrev_202005_21362] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To study the effectiveness of natural killer cell-derived exosome (NK-Exos)-entrapped paclitaxel (PTX-NK-Exos) in enhancing its anti-tumor effect. MATERIALS AND METHODS The NK-Exos were isolated through ultra-high-speed centrifugation, and the PTX-NK-Exos system was constructed via electroporation. The morphology, particle size, Zeta potential and entrapment rate of PTX-NK-Exos were evaluated using transmission electron microscope (TEM), dynamic light scattering (DLS), Western blotting and high-performance liquid chromatography (HPLC), respectively. The uptake of Exos in human breast cancer MCF-7 cells was observed under a laser confocal microscope. Moreover, the effect of PTX-NK-Exos on MCF-7 cell viability was determined through methyl thiazolyl tetrazolium (MTT) assay, flow cytometry and 4',6-diamidino-2-phenylindole (DAPI) staining. The effects of PTX-NK-Exos on messenger ribonucleic acid (mRNA) and protein expressions of B-cell lymphoma-2 (Bcl-2), Bcl-2 associated X protein (Bax) and Caspase-3 in MCF-7 cells were detected using quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and Western blotting, respectively. RESULTS The NK-Exos were successfully isolated via ultra-high-speed centrifugation, and they had uniform particle size and high expression of markers for Exos. MCF-7 cells could take up Exos. The PTX-NK-Exos drug delivery system was successfully prepared using electroporation. In PTX group and NK-Exos group, the proliferation of MCF-7 cells declined, the nuclear apoptosis was evident and the apoptosis rate of MCF-7 cells rose compared with those in Control group. In PTX group and PTX-NK-Exos group, the migration of MCF-7 cells declined compared with that in Control group. According to the results of qRT-PCR and Western blotting, PTX-NK-Exos exerted an anti-tumor effect through inducing the up-regulation of Bax and Caspase-3 in the apoptotic signaling pathway in tumor cells. CONCLUSIONS Exos isolated through ultra-high-speed centrifugation can be used to prepare the PTX-NK-Exos drug delivery system through electroporation. Drug-loaded Exos can effectively inhibit proliferation and induce apoptosis of tumor cells, thereby exerting an anti-tumor effect.
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