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Shi S, Liu J, Dong J, Hu J, Liu Y, Feng J, Zhou D. Research progress on the regulation mechanism of probiotics on the microecological flora of infected intestines in livestock and poultry. Lett Appl Microbiol 2021; 74:647-655. [PMID: 34882816 DOI: 10.1111/lam.13629] [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: 08/23/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022]
Abstract
The animal intestine is a complex ecosystem composed of host cells, gut microbiota and available nutrients. Gut microbiota can prevent the occurrence of intestinal diseases in animals by regulating the homeostasis of the intestinal environment. The intestinal microbiota is a complex and stable microbial community, and the homeostasis of the intestinal environment is closely related to the invasion of intestinal pathogens, which plays an important role in protecting the host from pathogen infections. Probiotics are strains of microorganisms that are beneficial to health, and their potential has recently led to a significant increase in studies on the regulation of intestinal flora. Various potential mechanisms of action have been proposed on probiotics, especially mediating the regulation mechanism of the intestinal flora on the host, mainly including competitive inhibition of pathogens, stimulation of the host's adaptive immune system and regulation of the intestinal flora. The advent of high-throughput sequencing technology has given us a clearer understanding and has facilitated the development of research methods to investigate the intestinal microecological flora. This review will focus on the regulation of probiotics on the microbial flora of intestinal infections in livestock and poultry and will depict future research directions.
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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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Dong J, Ding JW, Hou ZJ, Li Y, Zhao Q, Li DM. [Ultrasonic manifestations and axis length of blind microphthalmia]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2021; 57:825-829. [PMID: 34743467 DOI: 10.3760/cma.j.cn112142-20201118-00762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To discuss the ultrasonic manifestations of blind microphthalmia, and to explore the correlation between axis length and complicity of intraocular structure of blind microphthalmia. Methods: Retrospective case series study. The data of ultrasonic imaging and axis length of 162 patients (162 eyes) with blind microphthalmia diagnosed in Tongren Eye Center, Beijing Tongren Hospital from July 2013 to July 2018 were collected. According to the degree of internal structure disorder, all affected eyes were divided into groups of the normal, the abnormal and the indistinguishable. The binocular axial length in these patients were compared. The relationship between the axial length and the age of the patients, and the structural changes of the blind microphthalmia with a basic structure were analyzed. Statistical methods were mainly performed by paired t-test, one-way linear regression analysis and one-way analysis of variance. Results: The disease was unilateral in all the 162 patients. The age ranged from 1 month to 58 years old. And 139 cases (85.80%) were under 12 years old. There were 90 males and 72 females. The mean axial length of the affected eyes (162 eyes) was (13.17±3.77) mm, while the mean axial length of the control eyes (162 eyes) was (21.85±2.01) mm. There was significantly statistical difference in the ocular size between them (t=-27.369; P<0.01). There was no significant correlation between the axial length of the affected eye and age in patients with unilateral blind microphthalmia (r=0.027; P>0.05), while there was a significant correlation between the axial length of the control eye and age (r=0.590; P<0.01). The axial length of the groups of the normal (14 eyes), the abnormal (91 eyes) and the indistinguishable (57 eyes) was (17.80±2.19) mm, (14.81±2.92) mm and (10.05±2.46) mm, respectively, and the difference was statistically significant (F=72.800; P<0.01), and there was also significant difference between the two groups (all P<0.01). Ocular ultrasonic imaging showed that 105 eyes (64.81%) had a basic ocular structure, 83 eyes (51.23%) had retinal detachment, 15 eyes (9.26%) had bulbar ossification, and 10 eyes (6.17%) had optic disc abnormality. Conclusions: Blind microphthalmia mostly has a basic ocular structure and is often associated with retinal detachment. The axial length of the affected eye is correlated with the degree of intraocular structural disorder. (Chin J Ophthalmol, 2021, 57: 825-829).
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Liu Y, Guo G, Lu Y, Chen X, Zhu L, Zhao L, Li C, Zhang Z, Jin X, Dong J, Yang X, Huang Q. Silencing IKBKE inhibits the migration and invasion of glioblastoma by promoting Snail1 degradation. Clin Transl Oncol 2021; 24:816-828. [PMID: 34741724 DOI: 10.1007/s12094-021-02726-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/18/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Glioblastoma multiforme (GBM) is one of the most common malignant brain tumors in adults and has high mortality and relapse rates. Over the past few years, great advances have been made in the diagnosis and treatment of GBM, but unfortunately, the five-year overall survival rate of GBM patients is approximately 5.1%. Inhibitor of nuclear factor kappa-B kinase subunit epsilon (IKBKE) is a major oncogenic protein in tumors and can promote evil development of GBM. Snail1, a key inducer of the epithelial-mesenchymal transition (EMT) transcription factor, is subjected to ubiquitination and degradation, but the mechanism by which Snail1 is stabilized in tumors remains unclear. Our study aimed to investigate the mechanism of IKBKE regulating Snail1 in GBM. METHODS First, we analyzed the correlation between the expression of IKBKE and the tumor grade and prognosis through public databases and laboratory specimen libraries. Second, immunohistochemistry (IHC) and western blot were used to detect the correlation between IKBKE and Snail expression in glioma samples and cell lines. Western blot and immunofluorescence (IF) experiments were used to detect the quality and distribution of IKBKE and Snail1 proteins. Third, In situ animal model of intracranial glioma to detect the regulatory effect of IKBKE on intracranial tumors. RESULTS In this study, Our study reveals a new connection between IKBKE and Snail1, where IKBKE can directly bind to Snail1, translocate Snail1 into the nucleus from the cytoplasm. Downregulation of IKBKE results in Snail1 destabilization and impairs the tumor cell migration and invasion capabilities. CONCLUSION Our studies suggest that the IKBKE-Snail1 axis may serve as a potential therapeutic target for GBM treatment.
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Dong J, Chen YJ, Xu WF, Ji ZG. [Comparison of early postoperative effects between anterior bladder and posterior bladder approaches in robotic assisted laparoscopic radical prostatectomy]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2021; 59:902-906. [PMID: 34743451 DOI: 10.3760/cma.j.cn112139-20210831-00400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To examine the effect of robotic assisted laparoscopic radical prostatectomy with different approaches on early postoperative effects. Methods: Totally 44 patients (average age of 65.9 years, range: 46 to 81 years) underwent robotic assisted laparoscopic radical prostatectomy by a single operator at Department of Urology, Peking Union Medical Collage Hospital from March 2018 to March 2020 were retrospectively analyzed. The mean age was 65.9 years (range: 46 to 81 years), including 24 cases in the anterior bladder approach group (anterior approach group) and 20 cases in the posterior bladder approach group (posterior approach group). The preoperative clinical data, perioperative related data and postoperative urinary control recovery were compared between the two groups by t test, χ2 test or Fisher exact test. Results: In terms of clinical data, there was no difference in age, prostate volume, preoperative prostate specific antigen and Gleason score(all P>0.05). There was no significant difference in operation time ((184±43) minutes vs. (193±42) minutes, t=-0.599, P=0.55), bleeding volume ((218±88) ml vs. (225±115) ml, t=-0.244, P=0.81), postoperative stage (T2/T3: 15/9 vs. 12/8, χ²=0.029, P=0.87) and positive rate of cutting edge (29.2% (7/24) vs. 30.0% (6/20), χ²=0.004, P=0.95). In terms of postoperative urinary control, patient rates who achieved urinary control immediately after extubation was significantly higher for the posterior approach group than the anterior approach group (30.0% (6/20) vs. 4.2% (1/24), P=0.04). There was no significant difference between two groups for those who achieved urinary control 3 months after operation (6 cases vs. 11 cases, P=0.06), 6 months after operation (20 cases vs. 19 cases, P=0.36) and those who achieved urinary control 12 months after operation (23 cases vs. 19 cases, P=1). Conclusion: For robotic assisted laparoscopic radical prostatectomy, the posterior approach does not prolong the operation time, does not increase the amount of bleeding, and improves the short-term postoperative urinary control.
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Dong J, Tümer N, Putra NE, Zhu J, Li Y, Leeflang MA, Taheri P, Fratila-Apachitei LE, Mol JMC, Zadpoor AA, Zhou J. Extrusion-based 3D printed magnesium scaffolds with multifunctional MgF 2 and MgF 2-CaP coatings. Biomater Sci 2021; 9:7159-7182. [PMID: 34549742 DOI: 10.1039/d1bm01238j] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Additively manufactured (AM) biodegradable magnesium (Mg) scaffolds with precisely controlled and fully interconnected porous structures offer unprecedented potential as temporary bone substitutes and for bone regeneration in critical-sized bone defects. However, current attempts to apply AM techniques, mainly powder bed fusion AM, for the preparation of Mg scaffolds, have encountered some crucial difficulties related to safety in AM operations and severe oxidation during AM processes. To avoid these difficulties, extrusion-based 3D printing has been recently developed to prepare porous Mg scaffolds with highly interconnected structures. However, limited bioactivity and a too high rate of biodegradation remain the major challenges that need to be addressed. Here, we present a new generation of extrusion-based 3D printed porous Mg scaffolds that are coated with MgF2 and MgF2-CaP to improve their corrosion resistance and biocompatibility, thereby bringing the AM scaffolds closer to meeting the clinical requirements for bone substitutes. The mechanical properties, in vitro biodegradation behavior, electrochemical response, and biocompatibility of the 3D printed Mg scaffolds with a macroporosity of 55% and a strut density of 92% were evaluated. Furthermore, comparisons were made between the bare scaffolds and the scaffolds with coatings. The coating not only covered the struts but also infiltrated the struts through micropores, resulting in decreases in both macro- and micro-porosity. The bare Mg scaffolds exhibited poor corrosion resistance due to the highly interconnected porous structure, while the MgF2-CaP coatings remarkably improved the corrosion resistance, lowering the biodegradation rate of the scaffolds down to 0.2 mm y-1. The compressive mechanical properties of the bare and coated Mg scaffolds before and during in vitro immersion tests for up to 7 days were both in the range of the values reported for the trabecular bone. Moreover, direct culture of MC3T3-E1 preosteoblasts on the coated Mg scaffolds confirmed their good biocompatibility. Overall, this study clearly demonstrated the great potential of MgF2-CaP coated porous Mg prepared by extrusion-based 3D printing for further development as a bone substitute.
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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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Liu L, Guo Y, Sun X, Dong J, Zhang J, Teng F, Xing P, Li J, Yang L. P66.02 The Prognostic Implication of hes1 Protein Expression in Resected Small Cell Lung Cancers of 247 Cases. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.678] [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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Cao Y, Liu L, Dong J, Zhang J, Guo Y, Sun X, Wang X, Ying J, Xing P, Li J, Yang L. P66.08 Differential Expression of INSM1 Between Pure SCLC and LCNEC After Surgical Resection and Its Clinicopathological Significance. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.684] [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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Dong J, Che Y, Li H, Liu L, Shen D, Wang X, Sun X, Yang L. P56.06 Clinical Significance and Potential Function of S100A10 in Lung Adenocarcinoma. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.572] [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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Dong J, Hu C, Liu L, Guo Y, Zhang J, Teng F, Sun X, Wang X, Ying J, Li J, Xing P, Yang L. P66.07 ASCL1 and DLL3 Expression and Their Clinicopathological Implications in Surgically Resected Pure Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.683] [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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Yang L, Guo Y, Liu L, Dong J, Zhang J, Teng F, Sun X, Wang X, Xing P, Ying J, Li J. P66.01 Characterize the Heterogeneity of the Immunophenotype in Different Neuroendocrine (NE) Subtypes of Small-Cell Lung Cancer (SCLC). J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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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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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 P, Zhang J, Chen Y, Zhong H, Wang H, Li J, Zhu G, Xia P, Cui L, Li J, Dong J, Gao Q, Meng X. Colibactin in avian pathogenic Escherichia coli contributes to the development of meningitis in a mouse model. Virulence 2021; 12:2382-2399. [PMID: 34529552 PMCID: PMC8451452 DOI: 10.1080/21505594.2021.1972538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Colibactin is synthesized by a 54-kb genomic island, leads to toxicity in eukaryotic cells, and plays a vital role in many diseases, including neonatal sepsis and meningitis. Avian pathogenic Escherichia coli (APEC) is speculated to be an armory of extraintestinal pathogenic Escherichia coli and can be a potential zoonotic bacterium that threatens human and animal health. In this study, the APEC XM meningitis mouse model was successfully established to investigate the effect of colibactin in in vivo infection. The clbH-deletion mutant strain induced lower γ-H2AX expression, no megalocytosis, and no cell cycle arrest in bEnd.3 cells, which showed that the deletion of clbH decreased the production of colibactin in the APEC XM strain. The deletion of clbH did not affect the APEC XM strain’s ability of adhering to and invading bEnd.3 cells. In vitro, the non-colibactin-producing strain displayed significantly lower serum resistance and it also induced a lower level of cytokine mRNA and few disruptions of tight junction proteins in infected bEnd.3 cells. Meningitis did not occur in APEC ΔclbH-infected mice in vivo, who showed fewer clinical symptoms and fewer lesions on radiological and histopathological analyses. Compared with the APEX XM strain, APEC ΔclbH induced lower bacterial colonization in tissues, lower mRNA expression of cytokines in brain tissues, and slight destruction of the brain blood barrier. These results indicate that clbH is a necessary component for the synthesis of genotoxic colibactin, and colibactin is related to the development of meningitis induced by APEC XM.
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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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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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Wang P, Zhang J, Chen Y, Zhong H, Wang H, Li J, Zhu G, Xia P, Cui L, Li J, Dong J, Gao Q, Meng X. ClbG in Avian Pathogenic Escherichia coli Contributes to Meningitis Development in a Mouse Model. Toxins (Basel) 2021; 13:546. [PMID: 34437417 PMCID: PMC8402462 DOI: 10.3390/toxins13080546] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/29/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023] Open
Abstract
Colibactin is a complex secondary metabolite that leads to genotoxicity that interferes with the eukaryotic cell cycle. It plays an important role in many diseases, including neonatal mouse sepsis and meningitis. Avian pathogenic Escherichia coli (APEC) is responsible for several diseases in the poultry industry and may threaten human health due to its potential zoonosis. In this study, we confirmed that clbG was necessary for the APEC XM strain to produce colibactin. The deletion of clbG on APEC XM contributed to lowered γH2AX expression, no megalocytosis, and no cell cycle arrest in vitro. None of the 4-week Institute of Cancer Research mice infected with the APEC XM ΔclbG contracted meningitis or displayed weakened clinical symptoms. Fewer histopathological lesions were observed in the APEC XM ΔclbG group. The bacterial colonization of tissues and the relative expression of cytokines (IL-1β, IL-6, and TNF-α) in the brains decreased significantly in the APEC XM ΔclbG group compared to those in the APEC XM group. The tight junction proteins (claudin-5, occludin, and ZO-1) were not significantly destroyed in APEC XM ΔclbG group in vivo and in vitro. In conclusion, clbG is necessary for the synthesis of the genotoxin colibactin and affects the development of APEC meningitis in mice.
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Cui L, Cai H, Sun F, Wang Y, Qu Y, Dong J, Wang H, Li J, Qian C, Li J. Beta-endorphin inhibits the inflammatory response of bovine endometrial cells through δ opioid receptor in vitro. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2021; 121:104074. [PMID: 33775662 DOI: 10.1016/j.dci.2021.104074] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/16/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
Postpartum uterine infections are common reproductive diseases in postpartum cows. Evidence has shown that plasma β-endorphins increase during bovine uterine inflammation. However, the effect of β-endorphins on the inflammatory response in bovine endometrium has not been clarified. The aim of this study was to investigate the effect of β-endorphins on the inflammatory response of bovine endometrial epithelial and stromal cells, and to explore the possible mechanism. The cells were treated with E. coli lipopolysaccharide (LPS) to simulate inflammation, which was characterized by the significant activation of NF-κB signaling pathway and the increased gene expression of the downstream proinflammatory cytokines (approximately 1.2- to 15-fold increase, P < 0.05). By using Western blot and qPCR techniques, we found that β-endorphins inhibited the key protein expression of NF-κB pathway, and the gene expressions of TNF, IL1B, IL6, CXCL8, nitric oxide synthase 2, and prostaglandin-endoperoxide synthase 2 (P < 0.05). The co-treatment of β-endorphins and opioid antagonists showed that the anti-inflammatory effect of β-endorphins could be blocked (P < 0.05) by non-selective opioid antagonist naloxone or δ opioid receptor antagonist ICI 154129, but not the μ opioid receptor antagonist CTAP (P > 0.05). In conclusion, β-endorphins may inhibit the inflammatory response of bovine endometrial epithelial and stromal cells through δ opioid receptor.
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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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Zhang YN, Wang SM, Yu X, Zhang WD, Wang XY, Yang RY, Chen WX, Dong J, Ji FS. [Plasm trimethylamine-N-oxide level and association with lesion severity in coronary heart disease patients with type 2 diabetes mellitus]. ZHONGHUA XIN XUE GUAN BING ZA ZHI 2021; 49:680-686. [PMID: 34256435 DOI: 10.3760/cma.j.cn112148-20200902-00696] [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 investigate the association between trimethylamine-N-oxide (TMAO) and the degree of coronary atherosclerosis in coronary heart diseases (CHD) patients with type 2 diabetes mellitus. Methods: Consecutive patients, who underwent coronary angiography due to suspected CHD in Beijing Hospital from November 2016 to January 2018, were screened in this cross-sectional study. According to blood glucose level, previous medical history and coronary angiography results, they were divided into CHD without type2 diabetes mellitus(CHD-nDM) group and CHD with type2 diabetes mellitus(CHD-DM) group. Plasma TMAO levels in each group were measured by LC-MS/MS. Spearman correlation analysis was used to evaluate the correlation between TMAO and the number of diseased vessels and Gensini scores. Multivariate logistic regression was used to analyze the correlation between TMAO and high Gensini scores. Results: A total of 590 patients were enrolled in the study, including 238 patients in CHD-DM group and 352 patients in CHD-nDM group. Patients were older, body mass index, blood pressure level, prevalence of history of hypertension and statins use were higher in CHD-DM group than in CHD-nDM group (all P<0.05). The proportion of patients with multivessel disease (2 or more vessels) was also higher in CHD-DM group than in CHD-nDM group (P<0.001). Gensini score was higher in CHD-DM group than in CHD-nDM group (P<0.05). Fasting blood glucose, glycosylated hemoglobin and urea were significantly higher, while low-density lipoprotein cholesterol and hemoglobin were significantly lower in CHD-DM group than in CHD-nDM group (all P<0.05). The levels of TMAO was significantly higher in CHD-DM group than in CHD-nDM group (P<0.001). Spearman correlation analysis showed that TMAO was positively correlated with the number of diseased vessels, Gensini score, age and blood glucose level (r=0.178, 0.189, 0.260, 0.111, respectively, all P<0.01). Multivariate logistic regression analysis showed that, TMAO level was still positively correlated with high Gensini score in CHD-DM group (OR=2.25, 95%CI 1.16-4.38, P=0.017), but not in CHD-nDM group (OR=1.29, 95%CI 0.72-2.31, P=0.386) after adjusting for age, sex, body mass index, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol, triglyceride, history of hypertension, hyperlipidemia, smoking and statin use. Conclusions: In CHD patients with tupe 2 diabetes mellitus, the plasma TMAO level is significantly increased and is independent and positively correlated with the degree of coronary artery disease.
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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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Cui L, Qu Y, Cai H, Wang H, Dong J, Li J, Qian C, Li J. Meloxicam Inhibited the Proliferation of LPS-Stimulated Bovine Endometrial Epithelial Cells Through Wnt/β-Catenin and PI3K/AKT Pathways. Front Vet Sci 2021; 8:637707. [PMID: 34307514 PMCID: PMC8299055 DOI: 10.3389/fvets.2021.637707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 04/19/2021] [Indexed: 11/17/2022] Open
Abstract
Meloxicam is a non-steroidal anti-inflammatory drug and has been used to relieve pain and control inflammation in cows with metritis and endometritis. Meloxicam has been found to be effective in inhibiting tissue or cell growth when it is used as an anti-inflammatory therapy. However, the influence of meloxicam on bovine endometrial regeneration has not been reported. This study was to research the effect of meloxicam (0.5 and 5 μM) on the proliferation of primary bovine endometrial epithelial cells (BEECs) stimulated by Escherichia coli lipopolysaccharide. The cell viability, cell cycle, and cell proliferation were evaluated by Cell Counting Kit-8, flow cytometry, and cell scratch test, respectively. The mRNA transcriptions of prostaglandin-endoperoxide synthase 1 (PTGS1) and PTGS2, Toll-like receptor 4, and proliferation factors were detected using quantitative reverse-transcription polymerase chain reaction. The activations of phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) and Wnt/β-catenin pathways were determined using western blot and immunofluorescence. As a result, co-treatment of meloxicam and lipopolysaccharide inhibited (P < 0.05) the cell cycle progression and reduced (P < 0.05) the cell healing rate and the mRNA level of proliferation factors as compared with the cells treated with lipopolysaccharide alone. Meloxicam decreased (P < 0.05) the lipopolysaccharide-induced PTGS2 gene expression. Neither lipopolysaccharide nor meloxicam changed PTGS1 mRNA abundance (P > 0.05). Meloxicam inhibited (P < 0.05) the lipopolysaccharide-activated Wnt/β-catenin pathway by reducing (P < 0.05) the protein levels of β-catenin, c-Myc, cyclin D1, and glycogen synthase kinase-3β and prevented the lipopolysaccharide-induced β-catenin from entering the nucleus. Meloxicam suppressed (P < 0.05) the phosphorylation of PI3K and AKT. In conclusion, meloxicam alone did not influence the cell cycle progression or the cell proliferation in BEEC but caused cell cycle arrest and inhibited cell proliferation in lipopolysaccharide-stimulated BEEC. This inhibitory effect of meloxicam was probably mediated by Wnt/β-catenin and PI3K/AKT pathways.
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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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Dong J, Huan Y, Huang B, Yi J, Liu YH, Sun BA, Wang WH, Bai HY. Unusually thick shear-softening surface of micrometer-size metallic glasses. ACTA ACUST UNITED AC 2021; 2:100106. [PMID: 34557757 PMCID: PMC8454631 DOI: 10.1016/j.xinn.2021.100106] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/12/2021] [Indexed: 11/29/2022]
Abstract
The surface of glass is crucial for understanding many fundamental processes in glassy solids. A common notion is that a glass surface is a thin layer with liquid-like atomic dynamics and a thickness of a few tens of nanometers. Here, we measured the shear modulus at the surface of both millimeter-size and micrometer-size metallic glasses (MGs) through high-sensitivity torsion techniques. We found a pronounced shear-modulus softening at the surface of MGs. Compared with the bulk, the maximum decrease in the surface shear modulus (G) for the micro-scale MGs reaches ~27%, which is close to the decrease in the G upon glass transition, yet it still behaves solid-like. Strikingly, the surface thickness estimated from the shear-modulus softening is at least 400 nm, which is approximately one order of magnitude larger than that revealed from the glass dynamics. The unusually thick surface is also confirmed by measurements using X-ray nano-computed tomography, and this may account for the brittle-to-ductile transition of the MGs with size reductions. The unique and unusual properties at the surface of the micrometer-size MGs are physically related to the negative pressure effect during the thermoplastic formation process, which can dramatically reduce the density of the proximate surface region in the supercooled liquid state. The shear modulus and thickness of metallic glass (MG) surface is determined through torsion testing on micrometer-size wires The surface region of MG wires has a significant shear-modulus softening close to the supercooled liquid, yet still behaves solid-like The thickness of the soft surface of MG wires is at least 400 nm, which is about one order of magnitude larger than those revealed from surface dynamics The unusually thick surface accounts for the brittle-to-ductile transition of the MGs with size reduction
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