109 research outputs found

    Tissue metabolic changes drive cytokine responses to Mycobacterium tuberculosis

    Get PDF
    Cellular metabolism can influence host immune responses to Mycobacterium tuberculosis (Mtb). Using a systems biology approach, differential expression of 292 metabolic genes involved in glycolysis, glutathione, pyrimidine and inositol phosphate pathways was evident at the site of a human tuberculin skin test challenge in patients with active tuberculosis infection. For 28 metabolic genes, we identified single nucleotide polymorphisms (SNPs) that were trans-acting for in vitro cytokine responses to Mtb stimulation, including glutathione and pyrimidine metabolism genes that alter production of Th1 and Th17 cytokines. Our findings identify novel therapeutic targets in host metabolism that may shape protective immunity to tuberculosis

    Involvement of the exomer complex in the polarized transport of Ena1 required for Saccharomyces cerevisiae survival against toxic cations

    Get PDF
    [EN] Exomer is an adaptor complex required for the direct transport of a selected number of cargoes from the trans-Golgi network (TGN) to the plasma membrane in Saccharomyces cerevisiae However, exomer mutants are highly sensitive to increased concentrations of alkali metal cations, a situation that remains unexplained by the lack of transport of any known cargoes. Here we identify several HAL genes that act as multicopy suppressors of this sensitivity and are connected to the reduced function of the sodium ATPase Ena1. Furthermore, we find that Ena1 is dependent on exomer function. Even though Ena1 can reach the plasma membrane independently of exomer, polarized delivery of Ena1 to the bud requires functional exomer. Moreover, exomer is required for full induction of Ena1 expression after cationic stress by facilitating the plasma membrane recruitment of the molecular machinery involved in Rim101 processing and activation of the RIM101 pathway in response to stress. Both the defective localization and the reduced levels of Ena1 contribute to the sensitivity of exomer mutants to alkali metal cations. Our work thus expands the spectrum of exomer-dependent proteins and provides a link to a more general role of exomer in TGN organization.We acknowledge Emma Keck for English language revision. We also thank members of the Translucent group, J. Arino, J. Ramos, and L. Yenush, for many useful discussions throughout this work and especially L. Yenush for her generous gift of strains and reagents. The help of O. Vincent was essential for developing the work involving RIM101. We also thank R. Valle for her technical assistance at the CR Laboratory. M. Trautwein is acknowledged for data acquisition and discussions during the early stages of the project. C.A. is supported by a USAL predoctoral fellowship. Work at the Spang laboratory was supported by the University of Basel and the Swiss National Science Foundation (31003A-141207 and 310030B-163480). C.R. was supported by grant SA073U14 from the Regional Government of Castilla y Leon and by grant BFU2013-48582-C2-1-P from the CICYT/FEDER Spanish program. J.M.M. acknowledges the financial support from Universitat Politecnica de Valencia project PAID-06-10-1496.Anton, C.; Zanolari, B.; Arcones, I.; Wang, C.; Mulet, JM.; Spang, A.; Roncero, C. (2017). Involvement of the exomer complex in the polarized transport of Ena1 required for Saccharomyces cerevisiae survival against toxic cations. Molecular Biology of the Cell. 28(25):3672-3685. https://doi.org/10.1091/mbc.E17-09-0549S367236852825Ariño, J., Ramos, J., & Sychrová, H. (2010). Alkali Metal Cation Transport and Homeostasis in Yeasts. Microbiology and Molecular Biology Reviews, 74(1), 95-120. doi:10.1128/mmbr.00042-09Bard, F., & Malhotra, V. (2006). The Formation of TGN-to-Plasma-Membrane Transport Carriers. Annual Review of Cell and Developmental Biology, 22(1), 439-455. doi:10.1146/annurev.cellbio.21.012704.133126Barfield, R. M., Fromme, J. C., & Schekman, R. (2009). The Exomer Coat Complex Transports Fus1p to the Plasma Membrane via a Novel Plasma Membrane Sorting Signal in Yeast. Molecular Biology of the Cell, 20(23), 4985-4996. doi:10.1091/mbc.e09-04-0324Bonifacino, J. S. (2014). Adaptor proteins involved in polarized sorting. Journal of Cell Biology, 204(1), 7-17. doi:10.1083/jcb.201310021Bonifacino, J. S., & Glick, B. S. (2004). The Mechanisms of Vesicle Budding and Fusion. Cell, 116(2), 153-166. doi:10.1016/s0092-8674(03)01079-1Bonifacino, J. S., & Lippincott-Schwartz, J. (2003). Coat proteins: shaping membrane transport. Nature Reviews Molecular Cell Biology, 4(5), 409-414. doi:10.1038/nrm1099Carlson, M., & Botstein, D. (1982). Two differentially regulated mRNAs with different 5′ ends encode secreted and intracellular forms of yeast invertase. Cell, 28(1), 145-154. doi:10.1016/0092-8674(82)90384-1Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., … Mostafavi, S. (2010). The Genetic Landscape of a Cell. Science, 327(5964), 425-431. doi:10.1126/science.1180823De Matteis, M. A., & Luini, A. (2008). Exiting the Golgi complex. Nature Reviews Molecular Cell Biology, 9(4), 273-284. doi:10.1038/nrm2378De Nadal, E., Clotet, J., Posas, F., Serrano, R., Gomez, N., & Arino, J. (1998). The yeast halotolerance determinant Hal3p is an inhibitory subunit of the Ppz1p Ser/Thr protein phosphatase. Proceedings of the National Academy of Sciences, 95(13), 7357-7362. doi:10.1073/pnas.95.13.7357Drubin, D. G., & Nelson, W. J. (1996). Origins of Cell Polarity. Cell, 84(3), 335-344. doi:10.1016/s0092-8674(00)81278-7Fell, G. L., Munson, A. M., Croston, M. A., & Rosenwald, A. G. (2011). Identification of Yeast Genes Involved in K+Homeostasis: Loss of Membrane Traffic Genes Affects K+Uptake. G3: Genes|Genomes|Genetics, 1(1), 43-56. doi:10.1534/g3.111.000166Ferrando, A., Kron, S. J., Rios, G., Fink, G. R., & Serrano, R. (1995). Regulation of cation transport in Saccharomyces cerevisiae by the salt tolerance gene HAL3. Molecular and Cellular Biology, 15(10), 5470-5481. doi:10.1128/mcb.15.10.5470Forsmark, A., Rossi, G., Wadskog, I., Brennwald, P., Warringer, J., & Adler, L. (2011). Quantitative Proteomics of Yeast Post-Golgi Vesicles Reveals a Discriminating Role for Sro7p in Protein Secretion. Traffic, 12(6), 740-753. doi:10.1111/j.1600-0854.2011.01186.xGaber, R. F., Styles, C. A., & Fink, G. R. (1988). TRK1 encodes a plasma membrane protein required for high-affinity potassium transport in Saccharomyces cerevisiae. Molecular and Cellular Biology, 8(7), 2848-2859. doi:10.1128/mcb.8.7.2848Galindo, A., Calcagno-Pizarelli, A. M., Arst, H. N., & Penalva, M. A. (2012). An ordered pathway for the assembly of fungal ESCRT-containing ambient pH signalling complexes at the plasma membrane. Journal of Cell Science, 125(7), 1784-1795. doi:10.1242/jcs.098897Goldstein, A. L., & McCusker, J. H. (1999). Three new dominant drug resistance cassettes for gene disruption inSaccharomyces cerevisiae. Yeast, 15(14), 1541-1553. doi:10.1002/(sici)1097-0061(199910)15:143.0.co;2-kHayashi, M., Fukuzawa, T., Sorimachi, H., & Maeda, T. (2005). Constitutive Activation of the pH-Responsive Rim101 Pathway in Yeast Mutants Defective in Late Steps of the MVB/ESCRT Pathway. Molecular and Cellular Biology, 25(21), 9478-9490. doi:10.1128/mcb.25.21.9478-9490.2005Herrador, A., Herranz, S., Lara, D., & Vincent, O. (2009). Recruitment of the ESCRT Machinery to a Putative Seven-Transmembrane-Domain Receptor Is Mediated by an Arrestin-Related Protein. Molecular and Cellular Biology, 30(4), 897-907. doi:10.1128/mcb.00132-09Herrador, A., Livas, D., Soletto, L., Becuwe, M., Léon, S., & Vincent, O. (2015). Casein kinase 1 controls the activation threshold of an α-arrestin by multisite phosphorylation of the interdomain hinge. Molecular Biology of the Cell, 26(11), 2128-2138. doi:10.1091/mbc.e14-11-1552Herranz, S., Rodriguez, J. M., Bussink, H.-J., Sanchez-Ferrero, J. C., Arst, H. N., Penalva, M. A., & Vincent, O. (2005). Arrestin-related proteins mediate pH signaling in fungi. Proceedings of the National Academy of Sciences, 102(34), 12141-12146. doi:10.1073/pnas.0504776102Hoya, M., Yanguas, F., Moro, S., Prescianotto-Baschong, C., Doncel, C., de León, N., … Valdivieso, M.-H. (2016). Traffic Through theTrans-Golgi Network and the Endosomal System Requires Collaboration Between Exomer and Clathrin Adaptors in Fission Yeast. Genetics, 205(2), 673-690. doi:10.1534/genetics.116.193458Huranova, M., Muruganandam, G., Weiss, M., & Spang, A. (2016). Dynamic assembly of the exomer secretory vesicle cargo adaptor subunits. EMBO reports, 17(2), 202-219. doi:10.15252/embr.201540795Kung, L. F., Pagant, S., Futai, E., D’Arcangelo, J. G., Buchanan, R., Dittmar, J. C., … Miller, E. A. (2011). Sec24p and Sec16p cooperate to regulate the GTP cycle of the COPII coat. The EMBO Journal, 31(4), 1014-1027. doi:10.1038/emboj.2011.444Lamb, T. M., & Mitchell, A. P. (2003). The Transcription Factor Rim101p Governs Ion Tolerance and Cell Differentiation by Direct Repression of the Regulatory Genes NRG1 and SMP1 in Saccharomyces cerevisiae. Molecular and Cellular Biology, 23(2), 677-686. doi:10.1128/mcb.23.2.677-686.2003Lamb, T. M., Xu, W., Diamond, A., & Mitchell, A. P. (2000). Alkaline Response Genes ofSaccharomyces cerevisiaeand Their Relationship to theRIM101Pathway. Journal of Biological Chemistry, 276(3), 1850-1856. doi:10.1074/jbc.m008381200Madrid, R., Gómez, M. J., Ramos, J., & Rodrı́guez-Navarro, A. (1998). Ectopic Potassium Uptake intrk1 trk2Mutants ofSaccharomyces cerevisiaeCorrelates with a Highly Hyperpolarized Membrane Potential. Journal of Biological Chemistry, 273(24), 14838-14844. doi:10.1074/jbc.273.24.14838Maresova, L., & Sychrova, H. (2004). Physiological characterization of Saccharomyces cerevisiae kha1 deletion mutants. Molecular Microbiology, 55(2), 588-600. doi:10.1111/j.1365-2958.2004.04410.xMarqués, M. C., Zamarbide-Forés, S., Pedelini, L., Llopis-Torregrosa, V., & Yenush, L. (2015). A functional Rim101 complex is required for proper accumulation of the Ena1 Na+-ATPase protein in response to salt stress in Saccharomyces cerevisiae. FEMS Yeast Research, 15(4). doi:10.1093/femsyr/fov017Mulet, J. M., Leube, M. P., Kron, S. J., Rios, G., Fink, G. R., & Serrano, R. (1999). A Novel Mechanism of Ion Homeostasis and Salt Tolerance in Yeast: the Hal4 and Hal5 Protein Kinases Modulate the Trk1-Trk2 Potassium Transporter. Molecular and Cellular Biology, 19(5), 3328-3337. doi:10.1128/mcb.19.5.3328Mulet, J. M., & Serrano, R. (2002). Simultaneous determination of potassium and rubidium content in yeast. Yeast, 19(15), 1295-1298. doi:10.1002/yea.909Murguía, J. R., Bellés, J. M., & Serrano, R. (1996). The YeastHAL2Nucleotidase Is anin VivoTarget of Salt Toxicity. Journal of Biological Chemistry, 271(46), 29029-29033. doi:10.1074/jbc.271.46.29029Obara, K., & Kihara, A. (2014). Signaling Events of the Rim101 Pathway Occur at the Plasma Membrane in a Ubiquitination-Dependent Manner. Molecular and Cellular Biology, 34(18), 3525-3534. doi:10.1128/mcb.00408-14Paczkowski, J. E., & Fromme, J. C. (2014). Structural Basis for Membrane Binding and Remodeling by the Exomer Secretory Vesicle Cargo Adaptor. Developmental Cell, 30(5), 610-624. doi:10.1016/j.devcel.2014.07.014Paczkowski, J. E., Richardson, B. C., & Fromme, J. C. (2015). Cargo adaptors: structures illuminate mechanisms regulating vesicle biogenesis. Trends in Cell Biology, 25(7), 408-416. doi:10.1016/j.tcb.2015.02.005Paczkowski, J. E., Richardson, B. C., Strassner, A. M., & Fromme, J. C. (2012). The exomer cargo adaptor structure reveals a novel GTPase-binding domain. The EMBO Journal, 31(21), 4191-4203. doi:10.1038/emboj.2012.268Parsons, A. B., Brost, R. L., Ding, H., Li, Z., Zhang, C., Sheikh, B., … Boone, C. (2003). Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways. Nature Biotechnology, 22(1), 62-69. doi:10.1038/nbt919Peñalva, M. A., Lucena-Agell, D., & Arst, H. N. (2014). Liaison alcaline: Pals entice non-endosomal ESCRTs to the plasma membrane for pH signaling. Current Opinion in Microbiology, 22, 49-59. doi:10.1016/j.mib.2014.09.005Ríos, G., Cabedo, M., Rull, B., Yenush, L., Serrano, R., & Mulet, J. M. (2013). Role of the yeast multidrug transporter Qdr2 in cation homeostasis and the oxidative stress response. FEMS Yeast Research, 13(1), 97-106. doi:10.1111/1567-1364.12013RIOS, G., FERRANDO, A., & SERRANO, R. (1997). Mechanisms of Salt Tolerance Conferred by Overexpression of theHAL1 Gene inSaccharomyces cerevisiae. Yeast, 13(6), 515-528. doi:10.1002/(sici)1097-0061(199705)13:63.0.co;2-xRitz, A. M., Trautwein, M., Grassinger, F., & Spang, A. (2014). The Prion-like Domain in the Exomer-Dependent Cargo Pin2 Serves as a trans-Golgi Retention Motif. Cell Reports, 7(1), 249-260. doi:10.1016/j.celrep.2014.02.026Rockenbauch, U., Ritz, A. M., Sacristan, C., Roncero, C., & Spang, A. (2012). The complex interactions of Chs5p, the ChAPs, and the cargo Chs3p. Molecular Biology of the Cell, 23(22), 4402-4415. doi:10.1091/mbc.e11-12-1015Roncero, C. (2002). The genetic complexity of chitin synthesis in fungi. Current Genetics, 41(6), 367-378. doi:10.1007/s00294-002-0318-7Rothfels, K., Tanny, J. C., Molnar, E., Friesen, H., Commisso, C., & Segall, J. (2005). Components of the ESCRT Pathway, DFG16, and YGR122w Are Required for Rim101 To Act as a Corepressor with Nrg1 at the Negative Regulatory Element of the DIT1 Gene of Saccharomyces cerevisiae. Molecular and Cellular Biology, 25(15), 6772-6788. doi:10.1128/mcb.25.15.6772-6788.2005Santos, B., & Snyder, M. (1997). Targeting of Chitin Synthase 3 to Polarized Growth Sites in Yeast Requires Chs5p and Myo2p. Journal of Cell Biology, 136(1), 95-110. doi:10.1083/jcb.136.1.95Sato, M., Dhut, S., & Toda, T. (2005). New drug-resistant cassettes for gene disruption and epitope tagging inSchizosaccharomyces pombe. Yeast, 22(7), 583-591. doi:10.1002/yea.1233Schekman, R., & Orci, L. (1996). Coat Proteins and Vesicle Budding. Science, 271(5255), 1526-1533. doi:10.1126/science.271.5255.1526Sopko, R., Huang, D., Preston, N., Chua, G., Papp, B., Kafadar, K., … Andrews, B. (2006). Mapping Pathways and Phenotypes by Systematic Gene Overexpression. Molecular Cell, 21(3), 319-330. doi:10.1016/j.molcel.2005.12.011Spang, A. (2008). Membrane traffic in the secretory pathway. Cellular and Molecular Life Sciences, 65(18), 2781-2789. doi:10.1007/s00018-008-8349-yStarr, T. L., Pagant, S., Wang, C.-W., & Schekman, R. (2012). Sorting Signals That Mediate Traffic of Chitin Synthase III between the TGN/Endosomes and to the Plasma Membrane in Yeast. PLoS ONE, 7(10), e46386. doi:10.1371/journal.pone.0046386Trautwein, M., Schindler, C., Gauss, R., Dengjel, J., Hartmann, E., & Spang, A. (2006). Arf1p, Chs5p and the ChAPs are required for export of specialized cargo from the Golgi. The EMBO Journal, 25(5), 943-954. doi:10.1038/sj.emboj.7601007Trilla, J. A., Durán, A., & Roncero, C. (1999). Chs7p, a New Protein Involved in the Control of Protein Export from the Endoplasmic Reticulum that Is Specifically Engaged in the Regulation of Chitin Synthesis in Saccharomyces cerevisiae. Journal of Cell Biology, 145(6), 1153-1163. doi:10.1083/jcb.145.6.1153Valdivia, R. H., Baggott, D., Chuang, J. S., & Schekman, R. W. (2002). The Yeast Clathrin Adaptor Protein Complex 1 Is Required for the Efficient Retention of a Subset of Late Golgi Membrane Proteins. Developmental Cell, 2(3), 283-294. doi:10.1016/s1534-5807(02)00127-2Wadskog, I., Forsmark, A., Rossi, G., Konopka, C., Öyen, M., Goksör, M., … Adler, L. (2006). The Yeast Tumor Suppressor Homologue Sro7p Is Required for Targeting of the Sodium Pumping ATPase to the Cell Surface. Molecular Biology of the Cell, 17(12), 4988-5003. doi:10.1091/mbc.e05-08-0798Wang, C.-W., Hamamoto, S., Orci, L., & Schekman, R. (2006). Exomer: a coat complex for transport of select membrane proteins from the trans-Golgi network to the plasma membrane in yeast. Journal of Cell Biology, 174(7), 973-983. doi:10.1083/jcb.200605106Weiskoff, A. M., & Fromme, J. C. (2014). Distinct N-terminal regions of the exomer secretory vesicle cargo Chs3 regulate its trafficking itinerary. Frontiers in Cell and Developmental Biology, 2. doi:10.3389/fcell.2014.00047Yahara, N., Ueda, T., Sato, K., & Nakano, A. (2001). Multiple Roles of Arf1 GTPase in the Yeast Exocytic and Endocytic Pathways. Molecular Biology of the Cell, 12(1), 221-238. doi:10.1091/mbc.12.1.221Yenush, L., Merchan, S., Holmes, J., & Serrano, R. (2005). pH-Responsive, Posttranslational Regulation of the Trk1 Potassium Transporter by the Type 1-Related Ppz1 Phosphatase. Molecular and Cellular Biology, 25(19), 8683-8692. doi:10.1128/mcb.25.19.8683-8692.2005Yenush, L. (2002). The Ppz protein phosphatases are key regulators of K+ and pH homeostasis: implications for salt tolerance, cell wall integrity and cell cycle progression. The EMBO Journal, 21(5), 920-929. doi:10.1093/emboj/21.5.920Zanolari, B., Rockenbauch, U., Trautwein, M., Clay, L., Barral, Y., & Spang, A. (2011). Transport to the plasma membrane is regulated differently early and late in the cell cycle in Saccharomyces cerevisiae. Journal of Cell Science, 124(7), 1055-1066. doi:10.1242/jcs.07237

    The global burden of adolescent and young adult cancer in 2019 : a systematic analysis for the Global Burden of Disease Study 2019

    Get PDF
    Background In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. Findings There were 1.19 million (95% UI 1.11-1.28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59.6 [54.5-65.7] per 100 000 person-years) and high-middle SDI countries (53.2 [48.8-57.9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14.2 [12.9-15.6] per 100 000 person-years) and middle SDI (13.6 [12.6-14.8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23.5 million (21.9-25.2) DALYs to the global burden of disease, of which 2.7% (1.9-3.6) came from YLDs and 97.3% (96.4-98.1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

    Observation and branching fraction measurement of the decay Ξb- → Λ0 bπ -

    Get PDF

    Precision measurement of CP\it{CP} violation in the penguin-mediated decay Bs0ϕϕB_s^{0}\rightarrow\phi\phi

    Get PDF
    A flavor-tagged time-dependent angular analysis of the decay Bs0ϕϕB_s^{0}\rightarrow\phi\phi is performed using pppp collision data collected by the LHCb experiment at % at s=13\sqrt{s}=13 TeV, the center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6 fb^{-1}. The CP\it{CP}-violating phase and direct CP\it{CP}-violation parameter are measured to be ϕssˉs=0.042±0.075±0.009\phi_{s\bar{s}s} = -0.042 \pm 0.075 \pm 0.009 rad and λ=1.004±0.030±0.009|\lambda|=1.004\pm 0.030 \pm 0.009 , respectively, assuming the same values for all polarization states of the ϕϕ\phi\phi system. In these results, the first uncertainties are statistical and the second systematic. These parameters are also determined separately for each polarization state, showing no evidence for polarization dependence. The results are combined with previous LHCb measurements using pppp collisions at center-of-mass energies of 7 and 8 TeV, yielding ϕssˉs=0.074±0.069\phi_{s\bar{s}s} = -0.074 \pm 0.069 rad and lambda=1.009±0.030|lambda|=1.009 \pm 0.030. This is the most precise study of time-dependent CP\it{CP} violation in a penguin-dominated BB meson decay. The results are consistent with CP\it{CP} symmetry and with the Standard Model predictions.Comment: All figures and tables, along with any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2023-001.html (LHCb public pages

    Measurement of the Λb0Λ(1520)μ+μ\Lambda_{b}^{0}\to \Lambda(1520) \mu^{+}\mu^{-} differential branching fraction

    Get PDF
    The branching fraction of the rare decay Λb0Λ(1520)μ+μ\Lambda_{b}^{0}\to \Lambda(1520) \mu^{+}\mu^{-} is measured for the first time, in the squared dimuon mass intervals, q2q^2, excluding the J/ψJ/\psi and ψ(2S)\psi(2S) regions. The data sample analyzed was collected by the LHCb experiment at center-of-mass energies of 7, 8, and 13 TeV, corresponding to a total integrated luminosity of $9\ \mathrm{fb}^{-1}.Theresultinthehighest. The result in the highest q^{2}interval, interval, q^{2} >15.0\ \mathrm{GeV}^2/c^4$, where theoretical predictions have the smallest model dependence, agrees with the predictions.Comment: All figures and tables, along with any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2022-050.html (LHCb public pages

    Effects of alirocumab on types of myocardial infarction: insights from the ODYSSEY OUTCOMES trial

    Get PDF
    Aims  The third Universal Definition of Myocardial Infarction (MI) Task Force classified MIs into five types: Type 1, spontaneous; Type 2, related to oxygen supply/demand imbalance; Type 3, fatal without ascertainment of cardiac biomarkers; Type 4, related to percutaneous coronary intervention; and Type 5, related to coronary artery bypass surgery. Low-density lipoprotein cholesterol (LDL-C) reduction with statins and proprotein convertase subtilisin–kexin Type 9 (PCSK9) inhibitors reduces risk of MI, but less is known about effects on types of MI. ODYSSEY OUTCOMES compared the PCSK9 inhibitor alirocumab with placebo in 18 924 patients with recent acute coronary syndrome (ACS) and elevated LDL-C (≥1.8 mmol/L) despite intensive statin therapy. In a pre-specified analysis, we assessed the effects of alirocumab on types of MI. Methods and results  Median follow-up was 2.8 years. Myocardial infarction types were prospectively adjudicated and classified. Of 1860 total MIs, 1223 (65.8%) were adjudicated as Type 1, 386 (20.8%) as Type 2, and 244 (13.1%) as Type 4. Few events were Type 3 (n = 2) or Type 5 (n = 5). Alirocumab reduced first MIs [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.77–0.95; P = 0.003], with reductions in both Type 1 (HR 0.87, 95% CI 0.77–0.99; P = 0.032) and Type 2 (0.77, 0.61–0.97; P = 0.025), but not Type 4 MI. Conclusion  After ACS, alirocumab added to intensive statin therapy favourably impacted on Type 1 and 2 MIs. The data indicate for the first time that a lipid-lowering therapy can attenuate the risk of Type 2 MI. Low-density lipoprotein cholesterol reduction below levels achievable with statins is an effective preventive strategy for both MI types.For complete list of authors see http://dx.doi.org/10.1093/eurheartj/ehz299</p

    Search for rare decays of D0 mesons into two muons

    Get PDF
    A search for the very rare D 0 → μ + μ − decay is performed using data collected by the LHCb experiment in proton-proton collisions at √ s = 7 , 8, and 13 TeV, corresponding to an integrated luminosity of 9     fb − 1 . The search is optimized for D 0 mesons from D * + → D 0 π + decays but is also sensitive to D 0 mesons from other sources. No evidence for an excess of events over the expected background is observed. An upper limit on the branching fraction of this decay is set at B ( D 0 → μ + μ − ) &lt; 3.1 × 10 − 9 at a 90% C.L. This represents the world’s most stringent limit, constraining models of physics beyond the standard model

    Measurement of the ratios of branching fractions R(D*) and R(D0)

    Get PDF
    The ratios of branching fractions R ( D ∗ ) ≡ B ( ¯ B → D ∗ τ − ¯ ν τ ) / B ( ¯ B → D ∗ μ − ¯ ν μ ) and R ( D 0 ) ≡ B ( B − → D 0 τ − ¯ ν τ ) / B ( B − → D 0 μ − ¯ ν μ ) are measured, assuming isospin symmetry, using a sample of proton-proton collision data corresponding to 3.0     fb − 1 of integrated luminosity recorded by the LHCb experiment during 2011 and 2012. The tau lepton is identified in the decay mode τ − → μ − ν τ ¯ ν μ . The measured values are R ( D ∗ ) = 0.281 ± 0.018 ± 0.024 and R ( D 0 ) = 0.441 ± 0.060 ± 0.066 , where the first uncertainty is statistical and the second is systematic. The correlation between these measurements is ρ = − 0.43 . The results are consistent with the current average of these quantities and are at a combined 1.9 standard deviations from the predictions based on lepton flavor universality in the standard model

    First measurement of the Z→μ+μ− angular coefficients in the forward region of pp collisions at √s = 13 TeV

    Get PDF
    The first study of the angular distribution of μ + μ − pairs produced in the forward rapidity region via the Drell-Yan reaction p p → γ ∗ / Z + X → ℓ + ℓ − + X is presented, using data collected with the LHCb detector at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 5.1     fb − 1 . The coefficients of the five leading terms in the angular distribution are determined as a function of the dimuon transverse momentum and rapidity. The results are compared to various theoretical predictions of the Z -boson production mechanism and can also be used to probe transverse-momentum-dependent parton distributions within the proton
    corecore