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Found 37684 matches. Displaying 3621-3630
Pukhovskaya NM, Morozova OV, Vysochina NP, Belozerova NB, Bakhmetyeva SV, Zdanovskaya NI, Seligmand SJ, Ivanov LI
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Tick-borne encephalitis virus in arthropod vectors in the Far East of Russia
TICKS AND TICK-BORNE DISEASES 2018 MAY; 9(4):824-833
Isolates of tick-borne encephalitis virus (TBEV) from arthropod vectors (ticks and mosquitoes) in the Amur, the Jewish Autonomous and the Sakhalin regions as well as on the Khabarovsk territory of the Far East of Russia were studied. Different proportions of four main tick species of the family Ixodidae: Ixodes persulcatus P. Schulze, 1930; Haemaphysalis concinna Koch, 1844; Haemaphysalis japonica douglasi Nuttall et Warburton, 1915 and Dermacentor silvarum Olenev, 1932 were found in forests and near settlements. RT-PCR of TBEV RNA in adult ticks collected from vegetation in 1999-2014 revealed average infection rates of 7.9 +/- 0.7% in I. persulcatus, of 5.6 +/- 1.0% in H. concinna, of 2.0 +/- 2.0% in H. japonica, and of 1.3 +/- 1.3% in D. silvarum. Viral loads varied in a range from 10(2) to 10(9) TBEV genome-equivalents per a tick with the maximal values in I. persulcatus and H. japonica. Molecular typing using reverse transcription with subsequent real time PCR with subtype-specific fluorescent probes demonstrated that the Far Eastern (FE) subtype of TBEV predominated both in mono-infections and in mixed infection with the Siberian (Sib) subtype in I. persulcatus pools. TBEV strains of the FE subtype were isolated from I. persulcatus, H. concinna and from a pool of Aedes vexans mosquitoes. Ten TBEV strains isolated from I. persulcatus from the Khabarovsk territory and the Jewish Autonomous region between 1985 and 2013 cluster with the TBEV vaccine strain Sofjin of the FE subtype isolated from human brain in 1937. A TBEV strain from H. concinna collected in the Amur region (GenBank accession number KF880803) is similar to the vaccine strain 205 isolated in 1973 from I. persulcatus collected in the Jewish Autonomous region. The TBEV strain Lazo MP36 of the FE subtype isolated from a pool of A. vexans in the Khabarovsk territory in 2014 (KT001073) differs from strains isolated from 1) I. persulcatus (including the vaccine strain 205) and H. concinna; 2) mosquitoes [strain Malishevo (KJ744034) isolated in 1978 from Aedes vexans nipponii in the Khabarovsk territory]; and 3) human brain (including the vaccine strain Sofjin). Accordingly, in the far eastern natural foci, TBEV of the prevailing FE subtype has remained stable since 1937. Both Russian vaccines against TBE based on the FE strains (Sofjin and 205) are similar to the new viral isolates and might protect against infection.
Galea S, Vaughan RD
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Moving Beyond the Cause Constraint: A Public Health of Consequence, May 2018
AMERICAN JOURNAL OF PUBLIC HEALTH 2018 MAY; 108(5):602-603
Dunphy MPS, Harding JJ, Venneti S, Zhang HW, Burnazi EM, Bromberg J, Omuro AM, Hsieh JJ, Mellinghoff IK, Staton K, Pressl C, Beattie BJ, Zanzonico PB, Gerecitano JF, Kelsen DP, Weber W, Lyashchenko SK, Kung HF, Lewis JS
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In Vivo PET Assay of Tumor Glutamine Flux and Metabolism: In-Human Trial of F-18-(2S,4R)-4-Fluoroglutamine
RADIOLOGY 2018 MAY; 287(2):667-675
Purpose: To assess the clinical safety, pharmacokinetics, and tumor imaging characteristics of fluorine 18-(2S,4R)-4-fluoroglutamine (FGln), a glutamine analog radiologic imaging agent. Materials and Methods: This study was approved by the institutional review board and conducted under a U.S. Food and Drug Administration-approved Investigational New Drug application in accordance with the Helsinki Declaration and the Health Insurance Portability and Accountability Act. All patients provided written informed consent. Between January 2013 and October 2016, 25 adult patients with cancer received an intravenous bolus of FGln tracer (mean, 244 MBq +/- 118, <100 mu g) followed by positron emission tomography (PET) and blood radioassays. Patient data were summarized with descriptive statistics. FGln biodistribution and plasma amino acid levels in nonfasting patients (n = 13) were compared with those from patients who fasted at least 8 hours before injection (n = 12) by using nonparametric one-way analysis of variance with Bonferroni correction. Tumor FGln avidity versus fluorodeoxyglucose (FDG) avidity in patients with paired PET scans (n = 15) was evaluated with the Fisher exact test. P < .05 was considered indicative of a statistically significant difference. Results: FGln PET depicted tumors of different cancer types (breast, pancreas, renal, neuroendocrine, lung, colon, lymphoma, bile duct, or glioma) in 17 of the 25 patients, predominantly clinically aggressive tumors with genetic mutations implicated in abnormal glutamine metabolism. Acute fasting had no significant effect on FGln biodistribution and plasma amino acid levels. FGln-avid tumors were uniformly FDG-avid but not vice versa (P = .07). Patients experienced no adverse effects. Conclusion: Preliminary human FGln PET trial results provide clinical validation of abnormal glutamine metabolism as a potential tumor biomarker for targeted radiotracer imaging in several different cancer types. (C)RSNA, 2018
Bucciol G, Cassiman D, Roskams T, Renard M, Hoffman I, Witters P, Schrijvers R, Schaballie H, Bosch B, Putti MC, Gheysens O, Knops N, Gewillig M, Mekahli D, Pirenne J, Meyts I
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Liver transplantation for very severe hepatopulmonary syndrome due to vitamin A-induced chronic liver disease in a patient with Shwachman-Diamond syndrome
ORPHANET JOURNAL OF RARE DISEASES 2018 MAY 2; 13(?):? Article 69
Vitamin A intoxication is a rare cause of liver disease, but the risk increases in patients with underlying liver dysfunction. We present a patient with Shwachman-Diamond Syndrome who developed liver fibrosis, portal hypertension and very severe hepatopulmonary syndrome as a consequence of chronic vitamin A intoxication. She underwent successful liver transplantation with complete resolution of the pulmonary shunting.
Li J, Casanova JL, Puel A
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Mucocutaneous IL-17 immunity in mice and humans: host defense vs. excessive inflammation
MUCOSAL IMMUNOLOGY 2018 MAY; 11(3):581-589
Interleukin (IL)-17A is a pro-inflammatory cytokine in mice and humans. It is recognized as a key factor for the protection of mice against various pathogens, but it also underlies pathogenic inflammatory responses in numerous mouse models. The inborn errors of IL-17A- and IL-17F-mediated immunity identified in humans in the last decade have revealed that IL-17A and IL-17F are key players in mucocutaneous immunity to Candida albicans, and, to a lesser extent, Staphylococcus aureus. By contrast, there is currently no genetic evidence for a causal link between excess of IL-17 and autoimmunity, autoinflammation, or allergy in humans. We discuss here the physiological and pathological roles of mouse and human IL-17A and IL-17F in host defense and excessive inflammation. We highlight recent advances in our understanding of the consequences of deficient or excessive IL-17 immunity at various mucocutaneous sites, including the oral cavity, skin, intestine, lungs, and vagina.
Cohn LB, da Silva IT, Valieris R, Huang AS, Lorenzi JCC, Cohen YZ, Pai JA, Butler AL, Caskey M, Jankovic M, Nussenzweig MC
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Clonal CD4(+) T cells in the HIV-1 latent reservoir display a distinct gene profile upon reactivation
NATURE MEDICINE 2018 MAY; 24(5):604-609
Despite suppressive combination antiretroviral therapy (ART), latent HIV-1 proviruses persist in patients. This latent reservoir is established within 48-72 h after infection, has a long half-life(1,2), enables viral rebound when ART is interrupted, and is the major barrier to a cure for HIV-13. Latent cells are exceedingly rare in blood (similar to 1 per 1 x 10(6) CD4(+) T cells) and are typically enumerated by indirect means, such as viral outgrowth assays(4,5). We report a new strategy to purify and characterize single reactivated latent cells from HIV1-infected individuals on suppressive ART. Surface expression of viral envelope protein was used to enrich reactivated latent T cells producing HIV RNA, and single-cell analysis was performed to identify intact virus. Reactivated latent cells produce full-length viruses that are identical to those found in viral outgrowth cultures and represent clones of in vivo expanded T cells, as determined by their T cell receptor sequence. Gene-expression analysis revealed that these cells share a transcriptional profile that includes expression of genes implicated in silencing the virus. We conclude that reactivated latent T cells isolated from blood can share a gene-expression program that allows for cell division without activation of the cell death pathways that are normally triggered by HIV-1 replication.
Brunner PM, Suarez-Farinas M, He HL, Malik K, Wen HC, Gonzalez J, Chan TCC, Estrada Y, Zheng XZ, Khattri S, Dattola A, Krueger JG, Guttman-Yassky E
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The atopic dermatitis blood signature is characterized by increases in inflammatory and cardiovascular risk proteins (vol 7, 8707, 2017)
SCIENTIFIC REPORTS 2018 MAY 29; 8(?):? Article 8439
Chan TE, Grossman YS, Bloss EB, Janssen WG, Lou W, McEwen BS, Dumitriu D, Morrison JH
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Cell-Type Specific Changes in Glial Morphology and Glucocorticoid Expression During Stress and Aging in the Medial Prefrontal Cortex
FRONTIERS IN AGING NEUROSCIENCE 2018 MAY 23; 10(?):? Article 146
Repeated exposure to stressors is known to produce large-scale remodeling of neurons within the prefrontal cortex (PFC). Recent work suggests stress-related forms of structural plasticity can interact with aging to drive distinct patterns of pyramidal cell morphological changes. However, little is known about how other cellular components within PFC might be affected by these challenges. Here, we examined the effects of stress exposure and aging on medial prefrontal cortical glial subpopulations. Interestingly, we found no changes in glial morphology with stress exposure but a profound morphological change with aging. Furthermore, we found an upregulation of non-nuclear glucocorticoid receptors (GR) with aging, while nuclear levels remained largely unaffected. Both changes are selective for microglia, with no stress or aging effect found in astrocytes. Lastly, we show that the changes found within microglia inversely correlated with the density of dendritic spines on layer III pyramidal cells. These findings suggest microglia play a selective role in synaptic health within the aging brain.
Orange DE, Agius P, DiCarlo EF, Robine N, Geiger H, Szymonifka J, McNamara M, Cummings R, Andersen KM, Mirza S, Figgie M, Ivashkiv LB, Pernis AB, Jiang CS, Frank MO, Darnell RB, Lingampali N, Robinson WH, Gravallese E, Bykerk VP, Goodman SM, Donlin LT
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Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data
ARTHRITIS & RHEUMATOLOGY 2018 MAY; 70(5):690-701
Objective. In this study, we sought to refine histologic scoring of rheumatoid arthritis (RA) synovial tissue by training with gene expression data and machine learning. Methods. Twenty histologic features were assessed in 129 synovial tissue samples (n = 123 RA patients and n = 6 osteoarthritis [OA] patients). Consensus clustering was performed on gene expression data from a subset of 45 synovial samples. Support vector machine learning was used to predict gene expression subtypes, using histologic data as the input. Corresponding clinical data were compared across subtypes. Results. Consensus clustering of gene expression data revealed 3 distinct synovial subtypes, including a high inflammatory subtype characterized by extensive infiltration of leukocytes, a low inflammatory subtype characterized by enrichment in pathways including transforming growth factor , glycoproteins, and neuronal genes, and a mixed subtype. Machine learning applied to histologic features, with gene expression subtypes serving as labels, generated an algorithm for the scoring of histologic features. Patients with the high inflammatory synovial subtype exhibited higher levels of markers of systemic inflammation and autoantibodies. C-reactive protein (CRP) levels were significantly correlated with the severity of pain in the high inflammatory subgroup but not in the others. Conclusion. Gene expression analysis of RA and OA synovial tissue revealed 3 distinct synovial subtypes. These labels were used to generate a histologic scoring algorithm in which the histologic scores were found to be associated with parameters of systemic inflammation, including the erythrocyte sedimentation rate, CRP level, and autoantibody levels. Comparison of gene expression patterns to clinical features revealed a potentially clinically important distinction. mechanisms of pain may differ in patients with different synovial subtypes.
Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, Brandstetter J, Brondolin E, Dragicevic M, Ero J, Del Valle AE, Flechl M, Friedl M, Fruhwirth R, Ghete VM, Grossmann J, Hrubec J, Jeitler M, Konig A, Krammer N, Kratschmer I, Liko D, Madlener T, Mikulec I, Pree E, Rad N, Rohringer H, Schieck J, Schofbeck R, Spanring M, Spitzbart D, Waltenberger W, Wittmann J, Wulz CE, Zarucki M, Chekhovsky V, Mossolov V, Gonzalez JS, De Wolf EA, Di Croce D, Janssen X, Lauwers J, Van De Klundert M, Van Haevermaet H, Van Mechelen P, Van Remortel N, Abu Zeid S, Blekman F, D'Hondt J, De Bruyn I, De Clercq J, Deroover K, Flouris G, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Moreels L, Python Q, Skovpen K, Tavernier S, Van Doninck W, Van Mulders P, Van Parijs I, Beghin D, Bilin B, Brun H, Clerbaux B, De Lentdecker G, Delannoy H, Dorney B, Fasanella G, Favart L, Goldouzian R, Grebenyuk A, Lenzi T, Luetic J, Maerschalk T, Marinov A, Seva T, Starling E, Velde CV, Vanlaer P, Vannerom D, Yonamine R, Zenoni F, Zhang F, Cimmino A, Cornelis T, Dobur D, Fagot A, Gul M, Khvastunov I, Poyraz D, Roskas C, Salva S, Tytgat M, Verbeke W, Zaganidis N, Bakhshiansohi H, Bondu O, Brochet S, Bruno G, Caputo C, Caudron A, David P, DeVisscher S, Delaere C, Delcourt M, Francois B, Giammanco A, Komm M, Krintiras G, Lemaitre V, Magitteri A, Mertens A, Musich M, Piotrzkowski K, Quertenmont L, Saggio A, Marono MV, Wertz S, Zobec J, Alda WL, Alves FL, Alves GA, Brito L, Martins M, Hensel C, Moraes A, Pol ME, Teles PR, Das Chagas EBB, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, Damiao DD, De Souza SF, Guativa LMH, Malbouisson H, De Almeida MM, Herrera CM, Mundim L, Nogima H, Rosas LJS, Santoro A, Sznajder A, Thiel M, Manganote EJT, De Araujo FTD, Pereira AV, Ahuja S, Bernardes CA, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Padula SS, Abad DR, Vargas JCR, Aleksandrov A, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Fang W, Gao X, Yuan L, Ahmad M, Chen GM, Chen HS, Chen M, Chen Y, Jiang CH, Leggat D, Liao H, Liu Z, Romeo F, Shaheen SM, Spiezia A, Tao J, Thomas-Wilsker J, Wang C, Wang Z, Yazgan E, Zhang H, Zhang S, Zhao J, Ban Y, Chen G, Li J, Li Q, Liu S, Mao Y, Qian SJ, Wang D, Xu Z, Wang Y, Avila C, Cabrera A, Montoya CAC, Sierra LFC, Florez C, Hernandez CFG, Alvarez JDR, Delgado MAS, Courbon B, Godinovic N, Lelas D, Puljak I, Cipriano PMR, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Kadija K, Mesic B, Starodumov A, Susa T, Ather MW, Attikis A, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Finger M, Finger M, Jarrin EC, El-Khateeb E, Elgammal S, Kamel AE, Dewanjee RK, Kadastik M, Perrini L, Raidal M, Tiko A, Veelken C, Eerola P, Kirschenmann H, Pekkanen J, Voutilainen M, Havukainen J, Heikkila JK, Jarvinen T, Karimaki V, Kinnunen R, Lampen T, Lassila-Perini K, Laurila S, Lehti S, Linden T, Luukka P, Siikonen H, Tuominen E, Tuominiemi J, Tuuva T, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Ghosh S, Gras P, de Monchenault GH, Jarry P, Kucher I, Leloup C, Locci E, Machet M, Malcles J, Negro G, Rander J, Rosowsky A, Sahin MO, Titov M, Abdulsalam A, Amendola C, Antropov I, Baffioni S, Beaudette F, Busson P, Cadamuro L, Charlot C, de Cassagnac RG, Jo M, Lisniak S, Lobanov A, Blanco JM, Nguyen M, Ochando C, Ortona G, Paganini P, Pigard P, Salerno R, Sauvan JB, Sirois Y, Leiton AGS, Strebler T, Yilmaz Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Brom JM, Buttignol M, Chabert EC, Chanon N, Collard C, Conte E, Coubez X, Fontaine JC, Gele D, Goerlach U, Jansova M, Le Bihan AC, Tonon N, Van Hove P, Gadrat S, Beauceron S, Bernet C, Boudoul G, Chierici R, Contardo D, Depasse P, El Mamouni H, Fay J, Finco L, Gascon S, Gouzevitch M, Grenier G, Ille B, Lagarde F, Laktineh IB, Lethuillier M, Mirabito L, Pequegnot AL, Perries S, Popov A, Sordini V, Donckt MV, Viret S, Khvedelidze A, Tsamalaidze Z, Autermann C, Feld L, Kiesel MK, Klein K, Lipinski M, Preuten M, Schomakers C, Schulz J, Teroerde M, Zhukov V, Albert A, Dietz-Laursonn E, Duchardt D, Endres M, Erdmann M, Erdweg S, Esch T, Fischer R, Guth A, Hamer M, Hebbeker T, Heidemann C, Hoepfner K, Knutzen S, Merschmeyer M, Meyer A, Millet P, Mukherjee S, Pook T, Radziej M, Reithler H, Rieger M, Scheuch F, Teyssier D, Thuer S, Flugge G, Kargoll B, Kress T, Kunsken A, Muller T, Nehrkorn A, Nowack A, Pistone C, Pooth O, Stahl A, Martin MA, Arndt T, Asawatangtrakuldee C, Beernaert K, Behnke O, Behrens U, Martinez AB, Bin Anuar AA, Borras K, Botta V, Campbell A, Connor P, Contreras-Campana C, Costanza F, Defranchis MM, Pardos CD, Eckerlin G, Eckstein D, Eichhorn T, Eren E, Gallo E, Garcia JG, Geiser A, Luyando JMG, Grohsjean A, Gunnellini P, Guthoff M, Harb A, Hauk J, Hempel M, Jung H, Kasemann M, Keaveney J, Kleinwort C, Korol I, Krucker D, Lange W, Lelek A, Lenz T, Leonard J, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Meyer AB, Mittag G, Mnich J, Mussgiller A, Ntomari E, Pitzl D, Raspereza A, Savitskyi M, Saxena P, Shevchenko R, Spannagel S, Stefaniuk N, Van Onsem GP, Walsh R, Wen Y, Wichmann K, Wissing C, Zenaiev O, Aggleton R, Bein S, Blobel V, Vignali MC, Dreyer T, Garutti E, Gonzalez D, Haller J, Hinzmann A, Hoffmann M, Karavdina A, Klanner R, Kogler R, Kovalchuk N, Kurz S, Lapsien T, Marconi D, Meyer M, Niedziela M, Nowatschin D, Pantaleo F, Peiffer T, Perieanu A, Scharf C, Schleper P, Schmidt A, Schumann S, Schwandt J, Sonneveld J, Stadie H, Steinbruck G, Stober FM, Stover M, Tholen H, Troendle D, Usai E, Vanhoefer A, Vormwald B, Akbiyik M, Barth C, Baselga M, Baur S, Butz E, Caspart R, Chwalek T, Colombo F, De Boer W, Dierlamm A, El Morabit K, Faltermann N, Freund B, Friese R, Giffels M, Harrendorf MA, Hartmann F, Heindl SM, Husemann U, Kassel F, Kudella S, Mildner H, Mozer MU, Muller T, Plagge M, Quast G, Rabbertz K, Schroder M, Shvetsov I, Sieber G, Simonis HJ, Ulrich R, Wayand S, Weber M, Weiler T, Williamson S, Wohrmann C, Wolf R, Anagnostou G, Daskalakis G, Geralis T, Kyriakis A, Loukas D, Topsis-Giotis I, Karathanasis G, Kesisoglou S, Panagiotou A, Saoulidou N, Kousouris K, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Mallios S, Manthos N, Papadopoulos I, Paradas E, Strologas J, Triantis FA, Tsitsonis D, Csanad M, Filipovic N, Pasztor G, Suranyi O, Veres GI, Bencze G, Hajdu C, Horvath D, Hunyadi A, Sikler F, Veszpremi V, Beni N, Czellar S, Karancsi J, Makovec A, Molnar J, Szillasi Z, Bartok M, Raics P, Trocsanyi ZL, Ujvari B, Choudhury S, Komaragiri JR, Bahinipati S, Bhowmik S, Mal P, Mandal K, Nayak A, Sahoo DK, Sahoo N, Swain SK, Bansal S, Beri SB, Bhatnagar V, Chawla R, Dhingra N, Kalsi AK, Kaur A, Kaur M, Kaur S, Kumar R, Kumari P, Mehta A, Singh JB, Walia G, Kumar A, Shah A, Bhardwaj A, Chauhan S, Choudhary BC, Garg RB, Keshri S, Kumar A, Malhotra S, Naimuddin M, Ranjan K, Sharma R, Bhardwaj R, Bhattacharya R, Bhattacharya S, Bhawandeep U, Dey S, Dutt S, Dutta S, Ghosh S, Majumdar N, Modak A, Mondal K, Mukhopadhyay S, Nandan S, Purohit A, Roy A, Chowdhury SR, Sarkar S, Sharan M, Thakur S, Behera PK, Chudasama R, Dutta D, Jha V, Kumar V, Mohanty AK, Netrakanti PK, Pant LM, Shukla P, Topkar A, Aziz T, Dugad S, Mahakud B, Mitra S, Mohanty GB, Sur N, Sutar B, Banerjee S, Bhattacharya S, Chatterjee S, Das P, Guchait M, Jain S, Kumar S, Maity M, Majumder G, Mazumdar K, Sarkar T, Wickramage N, Chauhan S, Dube S, Hegde V, Kapoor A, Kothekar K, Pandey S, Rane A, Sharma S, Chenarani S, Tadavani EE, Etesami SM, Khakzad M, Najafabadi MM, Naseri M, Mehdiabadi SP, Hosseinabadi FR, Safarzadeh B, Zeinali M, Felcini M, Grunewald M, Abbrescia M, Calabria C, Colaleo A, Creanza D, Cristella L, De Filippis N, De Palma M, Errico F, Fiore L, Iaselli G, Lezki S, Maggi G, Maggi M, Miniello G, My S, Nuzzo S, Pompili A, Pugliese G, Radogna R, Ranieri A, Selvaggi G, Sharma A, Silvestris L, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Braibant-Giacomelli S, Campanini R, Capiluppi P, Castro A, Cavallo FR, Chhibra SS, Codispoti G, Cuffiani M, Dallavalle GM, Fabbri F, Fanfani A, Fasanella D, Giacomelli P, Grandi C, Guiducci L, Marcellini S, Masetti G, Montanari A, Navarria FL, Perrotta A, Rossi AM, Rovelli T, Siroli GP, Tosi N, Albergo S, Costa S, Di Mattia A, Giordano F, Potenza R, Tricomi A, Tuve C, Barbagli G, Chatterjee K, Ciulli V, Civinini C, D'Alessandro R, Focardi E, Lenzi P, Meschini M, Paoletti S, Russo L, Sguazzoni G, Strom D, Viliani L, Benussi L, Bianco S, Fabbri F, Piccolo D, Primavera F, Calvelli V, Ferro F, Ravera F, Robutti E, Tosi S, Benaglia A, Beschi A, Brianza L, Brivio F, Ciriolo V, Dinardo ME, Fiorendi S, Gennai S, Ghezzi A, Govoni P, Malberti M, Malvezzi S, Manzoni RA, Menasce D, Moroni L, Paganoni M, Pauwels K, Pedrini D, Pigazzini S, Ragazzi S, de Fatis TT, Buontempo S, Cavallo N, Di Guida S, Fabozzi F, Fienga F, Iorio AOM, Khan WA, Lista L, Meola S, Paolucci P, Sciacca C, Thyssen 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Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
JOURNAL OF INSTRUMENTATION 2018 MAY; 13(?):? Article P05011
Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated t (t) over bar events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The b jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV).