5076
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Ohigashi Y, Kawai Y, Wang J, Ohhashi T. Effects of 5-hydroxytryptamine and adenosine on the canine isolated cerebral resistance vessels. Int J Angiol 2011. [DOI: 10.1007/bf01616274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Hillary FG, Slocomb J, Hills EC, Fitzpatrick NM, Medaglia JD, Wang J, Good DC, Wylie GR. Changes in resting connectivity during recovery from severe traumatic brain injury. Int J Psychophysiol 2011; 82:115-23. [PMID: 21473890 DOI: 10.1016/j.ijpsycho.2011.03.011] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2010] [Revised: 03/21/2011] [Accepted: 03/21/2011] [Indexed: 11/28/2022]
Abstract
In the present study we investigate neural network changes after moderate and severe traumatic brain injury (TBI) through the use of resting state functional connectivity (RSFC) methods. Using blood oxygen level dependent functional MRI, we examined RSFC at 3 and 6 months following resolution of posttraumatic amnesia. The goal of this study was to examine how regional off-task connectivity changes during a critical period of recovery from significant neurological disruption. This was achieved by examining regional changes in the intrinsic, or "resting", BOLD fMRI signal in separate networks: 1) regions linked to goal-directed (or external-state) networks and 2) default mode (or internal-state) networks. Findings here demonstrate significantly increased resting connectivity internal-state networks in the TBI sample during the first 6 months following recovery. The most consistent finding was increased connectivity in both internal and external state networks to the insula and medial temporal regions during recovery. These findings were dissociable from repeat measurements in a matched healthy control sample.
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Wang J, Cao LL, Wu HY, Li XG, Jin QB. Dynamic Modeling and Optimal Control of Batch Reactors, Based on Structure Approaching Hybrid Neural Networks. Ind Eng Chem Res 2011. [DOI: 10.1021/ie1015377] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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5079
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Xue Q, Wang N, Xue X, Wang J. Endobronchial tuberculosis: an overview. Eur J Clin Microbiol Infect Dis 2011; 30:1039-44. [PMID: 21499709 DOI: 10.1007/s10096-011-1205-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2011] [Accepted: 02/25/2011] [Indexed: 12/30/2022]
Abstract
Endobronchial tuberculosis (EBTB), of which the incidence has been increasing in recent years, is a special type of pulmonary tuberculosis. The endobronchial tuberculose focuses often injure the tracheobronchial wall and lead to tracheobronchial stenosis. The tracheobronchial stenosis may cause intractable tuberculosis and make patients become chronic infection sources of tuberculosis, or may even cause pulmonary complications and result in death. The etiological confirmation of Mycobacterium tuberculosis is most substantial for diagnosis. However, because the positive rate of acid-fast bacillus staining for sputum smears is low and the clinical and radiological findings are usually nondistinctive, the diagnosis of EBTB is often mistaken and delayed. For early diagnosis, a high index of awareness of this disease is required and the bronchoscopy should be performed as soon as possible in suspected patients. The eradication of Mycobacterium tuberculosis and the prevention of tracheobronchial stenosis are two most substantial treatment goals. To get treatment goals, the diagnosis must be established early and aggressive treatments must be performed before the disease progresses too far.
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5080
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Xuan P, Guo MZ, Wang J, Wang CY, Liu XY, Liu Y. Genetic algorithm-based efficient feature selection for classification of pre-miRNAs. GENETICS AND MOLECULAR RESEARCH 2011; 10:588-603. [PMID: 21491369 DOI: 10.4238/vol10-2gmr969] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
In order to classify the real/pseudo human precursor microRNA (pre-miRNAs) hairpins with ab initio methods, numerous features are extracted from the primary sequence and second structure of pre-miRNAs. However, they include some redundant and useless features. It is essential to select the most representative feature subset; this contributes to improving the classification accuracy. We propose a novel feature selection method based on a genetic algorithm, according to the characteristics of human pre-miRNAs. The information gain of a feature, the feature conservation relative to stem parts of pre-miRNA, and the redundancy among features are all considered. Feature conservation was introduced for the first time. Experimental results were validated by cross-validation using datasets composed of human real/pseudo pre-miRNAs. Compared with microPred, our classifier miPredGA, achieved more reliable sensitivity and specificity. The accuracy was improved nearly 12%. The feature selection algorithm is useful for constructing more efficient classifiers for identification of real human pre-miRNAs from pseudo hairpins.
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Zhang LJ, Wang GQ, Yu HL, Wang J, Wang SW, Jia Y, Yu YY, Xu JG. First report of human infection by Rhodoplanes sp., Alphaproteobacteria in China. ASIAN PAC J TROP MED 2011; 4:248-50. [PMID: 21771463 DOI: 10.1016/s1995-7645(11)60079-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2010] [Revised: 12/27/2010] [Accepted: 01/15/2011] [Indexed: 10/18/2022] Open
Abstract
We isolated a novel strain of Alphaproteobacteria from a patient, who had medical history of chronic rhinitis for more than twenty years and recently experienced local skin abscess and ulcer. He eventually died of multiple organ failure due to multi-antibiotics resistance. We identified the microorganism by 16SrRNA sequencing and found that it belonged to the genus Rhodoplanes. It was named as Rhodoplanes sp. strain ZLJ-0. It is resumed that Rhodoplanes sp. strain ZLJ-0 might be an emerging human pathogen involving in unknown febrile conditions and could cause local infection of any tissues or organs. Differential diagnosis of febrile patients should be conducted in clinical practice and research on emerging pathogens of Alphaproteobacteria should be performed to determine the epidemiology, clinical symptoms and pathogenic features of these pathogens.
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Mandell RB, Flick R, Staplin WR, Kaniewski LD, Carzoli AK, Manuszak RP, Wang J, Rossi GR, Vahanian NN, Link CJ. The αGal HyperAcute(®) Technology: enhancing immunogenicity of antiviral vaccines by exploiting the natural αGal-mediated zoonotic blockade. Zoonoses Public Health 2011; 56:391-406. [PMID: 19486321 DOI: 10.1111/j.1863-2378.2008.01191.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The αGal HyperAcute(®) Technology exploits a robust zoonotic blockade to enhance potency of antiviral vaccines. Naturally acquired immunity against the common αGal epitope [galactose-alpha(1,3)-galactose-beta(1,4)N-acetylglucosamine-R (Gal-α(1,3)-Gal-β(1,4)-GlcNAc-R)] is facilitated by the loss of a key enzyme in the epitope's biosynthetic pathway. As human cells are devoid of this epitope, chronic stimulus from gut flora leads to high levels of circulating anti-αGal antibodies and the development of a robust immune pathway. As the αGal epitope is immediately recognized as foreign, the naturally acquired αGal immune pathway in humans serves as a strong barrier to zoonotic infection. The αGal HyperAcute(®) Technology takes advantage of this natural process to facilitate the rapid presentation of modified antigens to antigen-presenting cells, leading to a strong immune response. The evolutionary immunity to αGal ensures that the presence of αGal epitopes on antigens will lead to a robust immune response involving cross-activation of T(H)1 immunity, characterized by cytokine secretion and increased phagocytic activity, and T(H)2 immunity characterized by high antibody titres. αGal epitopes can be applied to antiviral vaccines by biological, enzymatic or chemical means. Several detection methods that directly and indirectly verify αGal addition are discussed. Enhanced immunogenicity (humoral and cellular) of αGal-modified vaccines is shown for several antiviral vaccine candidates. αGal modification of antiviral vaccine components leads to enhanced immunogenicity. The existing body of literature describing the utility of αGal epitopes as a safe and robust immunostimulatory and -modulatory agent in humans supports the basis for applying the αGal HyperAcute(®) Technology to the improvement of antiviral vaccines, both new and currently approved.
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Han CC, Wang JW, Pan ZX, Tang H, Xiang SX, Wang J, Li L, Xu F, Wei SH. Effect of liver X receptor activation on the very low density lipoprotein secretion and messenger ribonucleic acid level of related genes in goose primary hepatocytes. Poult Sci 2011; 90:402-9. [PMID: 21248338 DOI: 10.3382/ps.2010-00995] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In this study, we investigated the role of liver X receptor (LXR) activation in hepatic assembly and in the secretion of very low density lipoprotein-triglycerides in goose primary hepatocytes. Goose primary hepatocytes were isolated and treated with the LXR agonist T0901317. Total triglyceride accumulation, intracellular and extracellular triglyceride concentrations, extracellular very low density lipoprotein concentration, and gene expression levels of LXRα, microsomal triglyceride transfer protein, acyl coenzyme A:diacylglycerol acyltransferase (DGAT) 1, and DGAT2 were measured in primary hepatocytes. We found a dose-dependent upregulation of total and intracellular TG accumulation when using 0, 0.01, 0.1, 1, and 10 μM T0901317, but the extracellular triglyceride and very low density lipoprotein concentrations were dose dependent only when the T0901317 concentration was below 1 μM; as compared with 1 μM T0901317, 10 μM T0901317 had an inhibiting effect (P < 0.05). The mRNA levels of all the detected genes increased in the presence of T0901317. The change in LXRα and DGAT1 was dose dependent, and the mRNA levels of microsomal triglyceride transfer protein and DGAT2 increased with a T0901317 concentration up to 1 μM, but decreased when treated with 10 μM T0901317 (P < 0.05). In conclusion, the secretion of very low density lipoprotein plays a role in pharmacologically activating the LXR-induced development of hepatocellular steatosis in geese.
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Chen X, Wu CW, Zhong SP, Zeng FR, Zhang JS, Wang J, Niu SF. Molecular characterization and structure analysis of RPL10/QM-like protein from the red drum Sciaenops ocellatus (Sciaenidae). GENETICS AND MOLECULAR RESEARCH 2011; 10:576-87. [PMID: 21491368 DOI: 10.4238/vol10-2gmr1134] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The QM-like gene encodes a ribosomal protein L10. Besides housekeeping roles in protein synthesis, QM-like proteins have multiple extraribosomal functions during cell growth, cell differentiation and apoptosis. We obtained the full-length cDNA of QM-like protein (designated as SoQM) from the salt water game fish Sciaenops ocellatus, using RACE-PCR. The sequence consists of 740 bp, encoding 215-amino acid residues with 24.60 kDa. The AA sequence of the SoQM protein contains a series of functional motifs that belong to the QM family signature, which is conserved among different species. The SoQM gene contains five introns and six exons. The expression pattern of SoQM as determined by RT-PCR indicated that SoQM mRNA was expressed in all tissues tested, including brain, gill, head-kidney, intestine, stomach, heart, spleen, blood, muscle, and gonads. The phylogenetic tree constructed with MEGA 4.0 showed that SoQM clusters together with that of other fish. It was found that the sequences of the SoQM gene are highly conserved, suggesting the fundamental and critical functions of SoQM in S. ocellatus. The three-dimensional structure of the SoQM protein core domain (4~169) was predicted by the Swiss-Model program. Compared with QM proteins in other species, the main structure of SoQM protein was conserved, while the C-terminal domain was different from other QM-like proteins. Prediction of the three-dimensional structure of SoQM would provide valuable insight into the molecular basis of protein function, allowing an effective design of experiments, such as site-directed mutagenesis, studies of disease-related mutations or structure-based design of specific inhibitors.
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Chi Y, Wang J, Zhan X, Xie G, Wang Z, Xiao W, Wang Y, Hu J, Yu H, Yang L, Cui C, Xiong F, Zheng J. P53 Open-label, randomised, multicentre, phase 2a study of gambogic acid injection (THS) for treatment of advanced cancer. EJC Suppl 2011. [DOI: 10.1016/j.ejcsup.2011.02.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Gerry SP, Wang J, Ellerby DJ. A new approach to quantifying morphological variation in bluegill Lepomis macrochirus. JOURNAL OF FISH BIOLOGY 2011; 78:1023-1034. [PMID: 21463305 DOI: 10.1111/j.1095-8649.2011.02911.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Bluegill Lepomis macrochirus showed intraspecific morphological and behavioural differences dependent on the environment. Pelagic L. macrochirus had more fusiform bodies, a higher pectoral fin aspect ratio, a larger spiny dorsal fin area and pectoral fins located farther from the centre of mass than littoral L. macrochirus (P < 0·05). The shape of the body and pectoral fins, in particular, were suggestive of adaptation for sustained high-speed and economical labriform swimming. Littoral L. macrochirus had a deeper and wider body, deeper caudal fins and wider mouths than pelagic L. macrochirus (P < 0·05). Additionally, the soft dorsal, pelvic, anal and caudal fins of littoral L. macrochirus were positioned farther from the centre of mass (P < 0·05). The size and placement of these fins suggested that they will be effective in creating turning moments to facilitate manoeuvring in the macrophyte-dense littoral habitat.
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Stojak K, Pal S, Srikanth H, Morales C, Dewdney J, Weller T, Wang J. Polymer nanocomposites exhibiting magnetically tunable microwave properties. NANOTECHNOLOGY 2011; 22:135602. [PMID: 21343635 DOI: 10.1088/0957-4484/22/13/135602] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Polymer nanocomposites (PNCs) have been synthesized using Rogers polymer and CoFe₂O₄ nanoparticles (CFO NPs). X-ray diffraction (XRD) confirms the inverse spinel crystal structure of CFO NPs and transmission electron microscopy (TEM) images show the uniform dispersion of nanoparticles (10 nm ± 1) into the polymer matrix. Magnetic measurements indicate superparamagnetic response near room temperature for all PNCs. A blocking temperature T(B)~298 K was observed and does not vary for different loading fractions of CFO NPs for the PNCs. The saturation magnetization (M(s)) was found to be 11 emu g⁻¹ for 30 wt% CFO, increasing to 32 emu g⁻¹ for the 80 wt% CFO loaded PNC. A large value of coercivity (H(c) = 19 kOe) is also observed at 10 K and is not affected by varying CFO loading. Microwave measurements show significant absorption in the 80 wt% CFO loading PNC and the quality factor shows a strong enhancement with applied magnetic field.
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Zhang X, Wang Z, Huang Y, Wang J. Effects of chronic administration of alogliptin on the development of diabetes and β-cell function in high fat diet/streptozotocin diabetic mice. Diabetes Obes Metab 2011; 13:337-47. [PMID: 21205126 DOI: 10.1111/j.1463-1326.2010.01354.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
AIM Alogliptin is a potent and highly selective dipeptidyl peptidase-4 (DPP-4) inhibitor. The aim of this study was to determine its effects on glucose control and pancreas islet function and to identify the underlying molecular mechanisms after chronic administration, in a non-genetic mouse model of type 2 diabetes. METHODS Alogliptin (5, 15 and 45 mg/kg) was orally administered to high fat diet/streptozotocin (HFD/STZ) diabetic mice daily for 10 weeks. Postprandial and 6-h fasting blood glucose levels, blood A1C level, oral glucose tolerance and pancreas insulin content were measured during or after the treatment period. Alogliptin plasma concentration was determined by an LC/MS/MS method. Islet morphology and architectural changes were evaluated with immunohistochemical analysis. Islet endocrine secretion ability was assessed by measuring insulin release from isolated islets which were challenged with 16 mM glucose and 30 mM potassium chloride, respectively. Gene expression profiles of the pancreas were analysed using the mouse diabetes RT(2) Profiler PCR array which contains 84 genes related to the onset, development and progression of diabetes. RESULTS Alogliptin showed dose-dependent reduction of postprandial and fasting blood glucose levels and blood A1C levels. Glucose clearance ability and pancreas insulin content were both increased. Alogliptin significantly restored the β-cell mass and islet morphology, thus preserving islet function of insulin secretion. Expression of 10 genes including Ins1 was significantly changed in the pancreas of diabetic mice. Chronic alogliptin treatment completely or partially reversed the abnormalities in gene expression. CONCLUSIONS Chronic treatment of alogliptin improved glucose control and facilitated restoration of islet architecture and function in HFD/STZ diabetic mice. The gene expression profiles suggest that the underlying molecular mechanisms of β-cell protection by alogliptin may involve alleviating endoplasmic reticulum burden and mitochondria oxidative stress, increasing β-cell differentiation and proliferation, enhancing islet architecture remodelling and preserving islet function.
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Wang J, You H, Liu JF, Ni DF, Zhang ZX, Guan J. Association of olfactory bulb volume and olfactory sulcus depth with olfactory function in patients with Parkinson disease. AJNR Am J Neuroradiol 2011; 32:677-81. [PMID: 21330398 PMCID: PMC7965889 DOI: 10.3174/ajnr.a2350] [Citation(s) in RCA: 106] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2010] [Accepted: 09/07/2010] [Indexed: 11/10/2022]
Abstract
BACKGROUND AND PURPOSE Olfactory dysfunction is commonly associated with IPD. We here report the association of OB volume and OS depth with olfactory function in patients with PD. MATERIALS AND METHODS Morphometric analyses by using MR imaging and the Japanese T&T olfactometer threshold test were used to evaluate olfactory structure and function in 29 patients with PD and 29 age- and sex-matched healthy controls. RESULTS The olfactory recognition thresholds were significantly higher in patients with PD than in healthy controls (3.82 ± 1.25 versus 0.45 ± 0.65, P<.001). Olfactory atrophy with reductions in the volume of the OB (37.30 ± 10.23 mm(3) versus 44.87 ± 11.84 mm(3), P<.05) and in the depth of OS (8.90 ± 1.42 mm versus 9.67 ± 1.24 mm, P<.05) was observed in patients with PD but not in controls. Positive correlations between olfactory performance and OB volumes were observed in both patients with PD (r=-0.45, P<.0001) and in controls (r=-0.42, P<.0001). In contrast, there was no significant correlation between the depth of OS and olfactory function in either cohort. CONCLUSIONS The results provide evidence that early olfactory dysfunction in patients with PD may be a primary consequence of damage to the OB. Neuroimaging of olfactory structures together with the assessment of olfactory function may be used to identify patients with PD.
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Willett TL, Wynnyckyj C, Wang J, Grynpas MD. The fatigue resistance of rabbit tibiae varies with age from youth to middle age. Osteoporos Int 2011; 22:1157-65. [PMID: 20495904 DOI: 10.1007/s00198-010-1282-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2009] [Accepted: 03/30/2010] [Indexed: 12/27/2022]
Abstract
UNLABELLED Young adults are at risk of stress fractures. Risk is higher in younger and female individuals. Stress fractures occur due to repeated loading of the bone (fatigue). We modeled this with rabbit tibiae. Age increased fatigue resistance which correlated with bone mineral density. A sex difference was not detected. INTRODUCTION Younger adults who engage in intense physical activity with a sudden increase in intensity level (military recruits/college athletes) are at risk of bone stress fractures. Risk is greater in females and diminishes with aging. Stress fractures may be the result of fatigue damage, which is not repaired rapidly enough to avoid fracture. It was hypothesized that the fatigue resistance of whole rabbit tibiae would be less in female specimens but greater as animal age increased. METHODS Rabbit tibiae were harvested from three age groups (4, 7, and ≥ 12 months (females only)). The tibiae were scanned with dual energy X-ray absorptiometry to determine bone mineral density (BMD), computed tomography to quantify geometry, and then fatigue tested in three-point bending. RESULTS In the ≥ 12-month group, BMD was approximately 20% higher, while the fatigue resistance was found to be approximately ten times higher than the other age groups. Sex was not a factor in the 4- and 7-month groups. Multiple linear regression revealed that fatigue life was negatively correlated with applied stress range and positively correlated with BMD (adjusted r (2) = 0.69). CONCLUSIONS A difference in fatigue behavior due to sex was not detected, but there was a large increase in fatigue resistance with age. This correlated with increased BMD and parallels a reduced risk of stress fracture due to age in military recruits. Skeletal "maturation" may play an important role in determining stress fracture risk. Increased risk in females may be due to mechanisms other than those that determine material behavior.
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Nishikawa M, Owaki H, Fuji T, Soliman MM, Ashcroft DM, Watson KD, Lunt M, Symmons D, Hyrich KL, Atkinson F, Malik S, Heycock C, Saravanan V, Rynne M, Hamilton J, Kelly C, Burmester G, Kary S, Unnebrink K, Guerette B, Oezer U, Kupper H, Dennison E, Jameson K, Hyrich K, Watson K, Landewe R, Keystone E, Smolen J, Goldring M, Guerette B, Patra K, Cifaldi M, van der Heijde D, Lloyd LA, Owen C, Breslin A, Ahmad Y, Emery P, Matteson EL, Genovese M, Sague S, Hsia EC, Doyle MK, Fan H, Elashoff M, Kirkham B, Wasco MC, Bathon J, Hsia EC, Fleischmann R, Genovese MC, Matteson EL, Liu H, Fleischmann R, Goldman J, Leirisalo-Repo M, Zanetakis E, El-Kadi H, Kellner H, Bolce R, Wang J, Dehoratius R, Decktor D, Kremer J, Taylor P, Mendelsohn A, Baker D, Kim L, Ritchlin C, Taylor P, Mariette X, Matucci Cerenic M, Pavelka K, van Vollenhoven R, Heatley R, Walsh C, Lawson R, Reynolds A, Emery P, Iaremenko O, Mikitenko G, Smolen J, van Vollenhoven R, Kavanaugh A, Luijtens K, van der Heijde D, Curtis J, van der Heijde D, Schiff M, Keystone E, Landewe R, Kvien T, Curtis J, Khanna D, Luijtens K, Furst D, Behrens F, Koehm M, Scharbatke EC, Kleinert S, Weyer G, Tony HP, Burkhardt H, Blunn KJ, Williams RB, Young A, McDowell J, Keystone E, Weinblatt M, Haraoui B, Guerette B, Mozaffarian N, Patra K, Kavanaugh A, Khraishi M, Alten R, Gomez-Reino J, Rizzo W, Schechtman J, Kahan A, Vernon E, Taylor M, Smolen J, Hogan V, Holweg C, Kummerfeld S, Teng O, Townsend M, van Laar JM, Gullick NJ, De Silva C, Kirkham BW, van der Heijde D, Landewe R, Guerette B, Roy S, Patra K, Keystone E, Emery P, Fleischmann R, van der Heijde D, Keystone E, Genovese MC, Conaghan PG, Hsia EC, Xu W, Baratelle A, Beutler A, Rahman MU, Nikiphorou E, Kiely P, Walsh DA, Williams R, Young A, Shah D, Knight GD, Hutchinson DG, Dass S, Atzeni F, Vital EM, Bingham SJ, Buch M, Beirne P, Emery P, Keystone E, Fleischmann R, Emery P, Dougados M, Williams S, Reynard M, Blackler L, Gullick NJ, Zain A, Oakley S, Rees J, Jones T, Mistlin A, Panayi G, Kirkham BW, Westhovens R, Durez P, Genant H, Robles M, Becker JC, Covucci A, Bathon J, Genovese MC, Schiff M, Luggen M, Le Bars M, Becker JC, Aranda R, Li T, Elegbe A, Dougados M, Smolen J, van Vollenhoven R, Kavanaugh A, Fichtner A, Strand V, Vencovsky J, van der Heijde D, Davies R, Galloway J, Watson KD, Lunt M, Hochberg M, Westhovens R, Aranda R, Kelly S, Khan N, Qi K, Pappu R, Delaet I, Luo A, Torbeyns A, Moreland L, Cohen R, Gujrathi S, Weinblatt M, Bykerk VP, Alvaro-Gracia J, Andres Roman Ivorra J, Nurmohamed MT, Pavelka K, Bernasconi C, Stancati A, Sibilia J, Ostor A, Strangfeld A, Eveslage M, Listing J, Herzer P, Liebhaber A, Krummel-Lorenz B, Zink A, Haraoui B, Emery P, Mozaffarian N, Guerette B, Kupper H, Patra K, Keystone E, Genovese MC, Breedveld FC, Emery P, Cohen SB, Keystone E, Matteson EL, Burke L, Chai A, Reiss W, Sweetser M, Shaw T, Ellis SD, Ehrenstein MR, Notley CA, Yazici Y, Curtis J, Ince A, Baraf H, Malamet R, Chung CY, Kavanaugh A, Hughes C, Faurholm B, Dell'Accio F, Manzo A, Seed M, Eltawil N, Marrelli A, Gould D, Subang C, Al-Kashi A, De Bari C, Winyard P, Chernajovsky Y, Nissim A, van Vollenhoven R, Emery P, Bingham C, Keystone E, Fleischmann RM, Furst DE, Macey KM, Sweetser MT, Lehane P, Farmer P, Long SG, Kremer JM, Furst DE, Burgos-Vargas R, Dudler J, Mela CM, Vernon E, Fleischmann RM, Wegner N, Lugli H, Quirke AM, Guo Y, Potempa J, Venables P. Rheumatoid arthritis - treatment: 180. Utility of Body Weight Classified Low-Dose Leflunomide in Japanese Rheumatoid Arthritis. Rheumatology (Oxford) 2011. [DOI: 10.1093/rheumatology/ker031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Huang YZ, He H, Wang J, Li ZJ, Lan XY, Lei CZ, Zhang EP, Zhang CL, Wang JQ, Shen QW, Chen H. Sequence variants in the bovine nucleophosmin 1 gene, their linkage and their associations with body weight in native cattle breeds in China. Anim Genet 2011; 42:556-9. [DOI: 10.1111/j.1365-2052.2011.02184.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Khachatryan V, Sirunyan AM, Tumasyan A, Adam W, Bergauer T, Dragicevic M, Erö J, Fabjan C, Friedl M, Frühwirth R, Ghete VM, Hammer J, Hänsel S, Hartl C, Hoch M, Hörmann N, Hrubec J, Jeitler M, Kasieczka G, Kiesenhofer W, Krammer M, Liko D, Mikulec I, Pernicka M, Rohringer H, Schöfbeck R, Strauss J, Taurok A, Teischinger F, Wagner P, Waltenberger W, Walzel G, Widl E, Wulz CE, Mossolov V, Shumeiko N, Suarez Gonzalez J, Benucci L, Cerny K, De Wolf EA, Janssen X, Maes T, Mucibello L, Ochesanu S, Roland B, Rougny R, Selvaggi M, Van Haevermaet H, Van Mechelen P, Van Remortel N, Beauceron S, Blekman F, Blyweert S, D'Hondt J, Devroede O, Gonzalez Suarez R, Kalogeropoulos A, Maes J, Maes M, Tavernier S, Van Doninck W, Van Mulders P, Van Onsem GP, Villella I, Charaf O, Clerbaux B, De Lentdecker G, Dero V, Gay APR, Hammad GH, Hreus T, Marage PE, Thomas L, Vander Velde C, Vanlaer P, Wickens J, Adler V, Costantini S, Grunewald M, Klein B, Marinov A, Mccartin J, Ryckbosch D, Thyssen F, Tytgat M, 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E, Sharma S, Soha A, Spalding WJ, Spiegel L, Tan P, Taylor L, Tkaczyk S, Uplegger L, Vaandering EW, Vidal R, Whitmore J, Wu W, Yang F, Yumiceva F, Yun JC, Acosta D, Avery P, Bourilkov D, Chen M, Di Giovanni GP, Dobur D, Drozdetskiy A, Field RD, Fisher M, Fu Y, Furic IK, Gartner J, Goldberg S, Kim B, Klimenko S, Konigsberg J, Korytov A, Kropivnitskaya A, Kypreos T, Matchev K, Mitselmakher G, Muniz L, Pakhotin Y, Prescott C, Remington R, Schmitt M, Scurlock B, Sellers P, Skhirtladze N, Wang D, Yelton J, Zakaria M, Ceron C, Gaultney V, Kramer L, Lebolo LM, Linn S, Markowitz P, Martinez G, Rodriguez JL, Adams T, Askew A, Bandurin D, Bochenek J, Chen J, Diamond B, Gleyzer SV, Haas J, Hagopian S, Hagopian V, Jenkins M, Johnson KF, Prosper H, Quertenmont L, Sekmen S, Veeraraghavan V, Baarmand MM, Dorney B, Guragain S, Hohlmann M, Kalakhety H, Ralich R, Vodopiyanov I, Adams MR, Anghel IM, Apanasevich L, Bai Y, Bazterra VE, Betts RR, Callner J, Cavanaugh R, Dragoiu C, Garcia-Solis EJ, Gauthier L, Gerber CE, Hofman DJ, Khalatyan S, Lacroix F, Malek M, O'Brien C, Silvestre C, Smoron A, Strom D, Varelas N, Akgun U, Albayrak EA, Bilki B, Cankocak K, Clarida W, Duru F, Lae CK, McCliment E, Merlo JP, Mermerkaya H, Mestvirishvili A, Moeller A, Nachtman J, Newsom CR, Norbeck E, Olson J, Onel Y, Ozok F, Sen S, Wetzel J, Yetkin T, Yi K, Barnett BA, Blumenfeld B, Bonato A, Eskew C, Fehling D, Giurgiu G, Gritsan AV, Guo ZJ, Hu G, Maksimovic P, Rappoccio S, Swartz M, Tran NV, Whitbeck A, Baringer P, Bean A, Benelli G, Grachov O, Murray M, Noonan D, Radicci V, Sanders S, Wood JS, Zhukova V, Bolton T, Chakaberia I, Ivanov A, Makouski M, Maravin Y, Shrestha S, Svintradze I, Wan Z, Gronberg J, Lange D, Wright D, Baden A, Boutemeur M, Eno SC, Ferencek D, Gomez JA, Hadley NJ, Kellogg RG, Kirn M, Lu Y, Mignerey AC, Rossato K, Rumerio P, Santanastasio F, Skuja A, Temple J, Tonjes MB, Tonwar SC, Twedt E, Alver B, Bauer G, Bendavid J, Busza W, Butz E, Cali IA, Chan M, Dutta V, Everaerts P, Gomez Ceballos G, Goncharov M, Hahn KA, Harris P, Kim Y, Klute M, Lee YJ, Li W, Loizides C, Luckey PD, Ma T, Nahn S, Paus C, Ralph D, Roland C, Roland G, Rudolph M, Stephans GSF, Sumorok K, Sung K, Wenger EA, Xie S, Yang M, Yilmaz Y, Yoon AS, Zanetti M, Cole P, Cooper SI, Cushman P, Dahmes B, De Benedetti A, Dudero PR, Franzoni G, Haupt J, Klapoetke K, Kubota Y, Mans J, Rekovic V, Rusack R, Sasseville M, Singovsky A, Cremaldi LM, Godang R, Kroeger R, Perera L, Rahmat R, Sanders DA, Summers D, Bloom K, Bose S, Butt J, Claes DR, Dominguez A, Eads M, Keller J, Kelly T, Kravchenko I, Lazo-Flores J, Lundstedt C, Malbouisson H, Malik S, Snow GR, Baur U, Godshalk A, Iashvili I, Jain S, Kharchilava A, Kumar A, Shipkowski SP, Smith K, Alverson G, Barberis E, Baumgartel D, Boeriu O, Chasco M, Reucroft S, Swain J, Wood D, Zhang J, Anastassov A, Kubik A, Odell N, Ofierzynski RA, Pollack B, Pozdnyakov A, Schmitt M, Stoynev S, Velasco M, Won S, Antonelli L, Berry D, Hildreth M, Jessop C, Karmgard DJ, Kolb J, Kolberg T, Lannon K, Luo W, Lynch S, Marinelli N, Morse DM, Pearson T, Ruchti R, Slaunwhite J, Valls N, Warchol J, Wayne M, Ziegler J, Bylsma B, Durkin LS, Gu J, Hill C, Killewald P, Kotov K, Ling TY, Rodenburg M, Williams G, Adam N, Berry E, Elmer P, Gerbaudo D, Halyo V, Hebda P, Hunt A, Jones J, Laird E, Lopes Pegna D, Marlow D, Medvedeva T, Mooney M, Olsen J, Piroué P, Quan X, Saka H, Stickland D, Tully C, Werner JS, Zuranski A, Acosta JG, Huang XT, Lopez A, Mendez H, Oliveros S, Ramirez Vargas JE, Zatserklyaniy A, Alagoz E, Barnes VE, Bolla G, Borrello L, Bortoletto D, Everett A, Garfinkel AF, Gecse Z, Gutay L, Hu Z, Jones M, Koybasi O, Laasanen AT, Leonardo N, Liu C, Maroussov V, Merkel P, Miller DH, Neumeister N, Shipsey I, Silvers D, Svyatkovskiy A, Yoo HD, Zablocki J, Zheng Y, Jindal P, Parashar N, Boulahouache C, Cuplov V, Ecklund KM, Geurts FJM, Liu JH, Padley BP, Redjimi R, Roberts J, Zabel J, Betchart B, Bodek A, Chung YS, Covarelli R, de Barbaro P, Demina R, Eshaq Y, Flacher H, Garcia-Bellido A, Goldenzweig P, Gotra Y, Han J, Harel A, Miner DC, Orbaker D, Petrillo G, Vishnevskiy D, Zielinski M, Bhatti A, Ciesielski R, Demortier L, Goulianos K, Lungu G, Mesropian C, Yan M, Atramentov O, Barker A, Duggan D, Gershtein Y, Gray R, Halkiadakis E, Hidas D, Hits D, Lath A, Panwalkar S, Patel R, Richards A, Rose K, Schnetzer S, Somalwar S, Stone R, Thomas S, Cerizza G, Hollingsworth M, Spanier S, Yang ZC, York A, Asaadi J, Eusebi R, Gilmore J, Gurrola A, Kamon T, Khotilovich V, Montalvo R, Nguyen CN, Osipenkov I, Pivarski J, Safonov A, Sengupta S, Tatarinov A, Toback D, Weinberger M, Akchurin N, Bardak C, Damgov J, Jeong C, Kovitanggoon K, Lee SW, Mane P, Roh Y, Sill A, Volobouev I, Wigmans R, Yazgan E, Appelt E, Brownson E, Engh D, Florez C, Gabella W, Johns W, Kurt P, Maguire C, Melo A, Sheldon P, Velkovska J, Arenton MW, Balazs M, Boutle S, Buehler M, Conetti S, Cox B, Francis B, Hirosky R, Ledovskoy A, Lin C, Neu C, Yohay R, Gollapinni S, Harr R, Karchin PE, Lamichhane P, Mattson M, Milstène C, Sakharov A, Anderson M, Bachtis M, Bellinger JN, Carlsmith D, Dasu S, Efron J, Gray L, Grogg KS, Grothe M, Hall-Wilton R, Herndon M, Klabbers P, Klukas J, Lanaro A, Lazaridis C, Leonard J, Loveless R, Mohapatra A, Reeder D, Ross I, Savin A, Smith WH, Swanson J, Weinberg M. Dijet azimuthal decorrelations in pp collisions at √s=7 TeV. PHYSICAL REVIEW LETTERS 2011; 106:122003. [PMID: 21517306 DOI: 10.1103/physrevlett.106.122003] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2011] [Indexed: 05/30/2023]
Abstract
Measurements of dijet azimuthal decorrelations in pp collisions at √s=7 TeV using the CMS detector at the CERN LHC are presented. The analysis is based on an inclusive dijet event sample corresponding to an integrated luminosity of 2.9 pb⁻¹. The results are compared to predictions from perturbative QCD calculations and various Monte Carlo event generators. The dijet azimuthal distributions are found to be sensitive to initial-state gluon radiation.
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Chen X, Dai J, Ai L, Ru X, Wang J, Li S, Young GS. Clival invasion on multi-detector CT in 390 pituitary macroadenomas: correlation with sex, subtype and rates of operative complication and recurrence. AJNR Am J Neuroradiol 2011; 32:785-9. [PMID: 21436342 DOI: 10.3174/ajnr.a2364] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Clival invasion, a rare but potentially significant complication of pituitary adenoma, is difficult to detect on MR imaging. Because CT is widely used in adjunct guidance of pituitary surgery and it has recently been suggested that preoperative CT may add useful diagnostic information in addition to pituitary MR imaging, we performed the first large cross-sectional imaging study to define the image attributes, clinical correlates, and prognostic implications of clival invasion on CT for pituitary adenoma surgical guidance. MATERIALS AND METHODS Preoperative CT images from 390 patients with histopathologically diagnosed pituitary macroadenoma were reviewed retrospectively and classified by the presence and degree of clival invasion. Tumor volume, tumor subtype, patient sex, operative complication, and recurrence rates were compared between groups. RESULTS After we corrected for multiple correlations, the most significant independent risk factor for clival invasion was female sex (OR=3.62, P=.014, multinomial logistic regression), followed by large tumor volume (OR=1.08, P<.001), and null-cell subtype (OR=5.47, P<.001). Larger tumor volume correlated with null-cell subtype (Mann-Whitney U test, P=.006), incidence of clival invasion (P<.001), and extent of clival invasion (P=.038). Clival invasion was associated with a significantly higher ratio of operative complications (15.63%, χ(2)=7.067, P=.008) and recurrence (57.14%, χ(2)=10.739, P=.001). CONCLUSIONS CT detection of clival invasion by pituitary macroadenoma is significantly more common in women, in patients with large tumors, and in patients with null-cell tumors, and it is associated with a higher rate of operative complications and recurrences. Attention to the presence of clival invasion on preoperative CT and prospective investigation of its prognostic significance are indicated. Attention to this finding on pituitary guidance CT is warranted.
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Khachatryan V, Sirunyan AM, Tumasyan A, Adam W, Bergauer T, Dragicevic M, Erö J, Fabjan C, Friedl M, Frühwirth R, Ghete VM, Hammer J, Hänsel S, Hartl C, Hoch M, Hörmann N, Hrubec J, Jeitler M, Kasieczka G, Kiesenhofer W, Krammer M, Liko D, Mikulec I, Pernicka M, Rohringer H, Schöfbeck R, Strauss J, Taurok A, Teischinger F, Wagner P, Waltenberger W, Walzel G, Widl E, Wulz CE, Mossolov V, Shumeiko N, Suarez Gonzalez J, Benucci L, Cerny K, De Wolf EA, Janssen X, Maes T, Mucibello L, Ochesanu S, Roland B, Rougny R, Selvaggi M, Van Haevermaet H, Van Mechelen P, Van Remortel N, Adler V, Beauceron S, Blekman F, Blyweert S, D'Hondt J, Devroede O, Gonzalez Suarez R, Kalogeropoulos A, Maes J, Maes M, Tavernier S, Van Doninck W, Van Mulders P, Van Onsem GP, Villella I, Charaf O, Clerbaux B, De Lentdecker G, Dero V, Gay APR, Hammad GH, Hreus T, Marage PE, Thomas L, Vander Velde C, Vanlaer P, Wickens J, Costantini S, Grunewald M, Klein B, Marinov A, McCartin J, Ryckbosch D, Thyssen F, Tytgat M, 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P, Paolucci P, Azzi P, Bacchetta N, Bellan P, Bisello D, Branca A, Carlin R, Checchia P, Conti E, De Mattia M, Dorigo T, Dosselli U, Fanzago F, Gasparini F, Gasparini U, Giubilato P, Gresele A, Lacaprara S, Lazzizzera I, Margoni M, Mazzucato M, Meneguzzo AT, Perrozzi L, Pozzobon N, Ronchese P, Simonetto F, Torassa E, Tosi M, Vanini S, Zotto P, Zumerle G, Baesso P, Berzano U, Riccardi C, Torre P, Vitulo P, Viviani C, Biasini M, Bilei GM, Caponeri B, Fanò L, Lariccia P, Lucaroni A, Mantovani G, Menichelli M, Nappi A, Santocchia A, Servoli L, Taroni S, Valdata M, Volpe R, Azzurri P, Bagliesi G, Bernardini J, Boccali T, Broccolo G, Castaldi R, D'Agnolo RT, Dell'Orso R, Fiori F, Foà L, Giassi A, Kraan A, Ligabue F, Lomtadze T, Martini L, Messineo A, Palla F, Palmonari F, Sarkar S, Segneri G, Serban AT, Spagnolo P, Tenchini R, Tonelli G, Venturi A, Verdini PG, Barone L, Cavallari F, Del Re D, Di Marco E, Diemoz M, Franci D, Grassi M, Longo E, Organtini G, Palma A, Pandolfi F, Paramatti R, 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Pineda A, Reyes-Santos MA, Allfrey P, Krofcheck D, Butler PH, Doesburg R, Silverwood H, Ahmad M, Ahmed I, Asghar MI, Hoorani HR, Khan WA, Khurshid T, Qazi S, Cwiok M, Dominik W, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Frueboes T, Gokieli R, Górski M, Kazana M, Nawrocki K, Romanowska-Rybinska K, Szleper M, Wrochna G, Zalewski P, Almeida N, David A, Faccioli P, Ferreira Parracho PG, Gallinaro M, Martins P, Musella P, Nayak A, Ribeiro PQ, Seixas J, Silva P, Varela J, Wöhri HK, Belotelov I, Bunin P, Finger M, Finger M, Golutvin I, Kamenev A, Karjavin V, Kozlov G, Lanev A, Moisenz P, Palichik V, Perelygin V, Shmatov S, Smirnov V, Volodko A, Zarubin A, Bondar N, Golovtsov V, Ivanov Y, Kim V, Levchenko P, Murzin V, Oreshkin V, Smirnov I, Sulimov V, Uvarov L, Vavilov S, Vorobyev A, Andreev Y, Gninenko S, Golubev N, Kirsanov M, Krasnikov N, Matveev V, Pashenkov A, Toropin A, Troitsky S, Epshteyn V, Gavrilov V, Kaftanov V, Kossov M, Krokhotin A, Lychkovskaya N, Safronov G, Semenov S, Stolin V, Vlasov E, Zhokin A, Boos E, Dubinin M, Dudko L, Ershov A, Gribushin A, Kodolova O, Lokhtin I, Obraztsov S, Petrushanko S, Sarycheva L, Savrin V, Snigirev A, Andreev V, Azarkin M, Dremin I, Kirakosyan M, Rusakov SV, Vinogradov A, Azhgirey I, Bitioukov S, Grishin V, Kachanov V, Konstantinov D, Korablev A, Krychkine V, Petrov V, Ryutin R, Slabospitsky S, Sobol A, Tourtchanovitch L, Troshin S, Tyurin N, Uzunian A, Volkov A, Adzic P, Djordjevic M, Krpic D, Milosevic J, Aguilar-Benitez M, Alcaraz Maestre J, Arce P, Battilana C, Calvo E, Cepeda M, Cerrada M, Colino N, De La Cruz B, Diez Pardos C, Domínguez Vázquez D, Fernandez Bedoya C, Fernández Ramos JP, Ferrando A, Flix J, Fouz MC, Garcia-Abia P, Gonzalez Lopez O, Goy Lopez S, Hernandez JM, Josa MI, Merino G, Puerta Pelayo J, Redondo I, Romero L, Santaolalla J, Willmott C, Albajar C, Codispoti G, de Trocóniz JF, Cuevas J, Fernandez Menendez J, Folgueras S, Gonzalez Caballero I, Lloret Iglesias L, Vizan Garcia JM, Brochero Cifuentes JA, Cabrillo IJ, Calderon A, Chamizo Llatas M, Chuang SH, Duarte Campderros J, Felcini M, Fernandez M, Gomez G, Gonzalez Sanchez J, Jorda C, Lobelle Pardo P, Lopez Virto A, Marco J, Marco R, Martinez Rivero C, Matorras F, Munoz Sanchez FJ, Piedra Gomez J, Rodrigo T, Ruiz Jimeno A, Scodellaro L, Sobron Sanudo M, Vila I, Vilar Cortabitarte R, Abbaneo D, Auffray E, Auzinger G, Baillon P, Ball AH, Barney D, Bell AJ, Benedetti D, Bernet C, Bialas W, Bloch P, Bocci A, Bolognesi S, Breuker H, Brona G, Bunkowski K, Camporesi T, Cano E, Cerminara G, Christiansen T, Coarasa Perez JA, Curé B, D'Enterria D, De Roeck A, Duarte Ramos F, Elliott-Peisert A, Frisch B, Funk W, Gaddi A, Gennai S, Georgiou G, Gerwig H, Gigi D, Gill K, Giordano D, Glege F, Gomez-Reino Garrido R, Gouzevitch M, Govoni P, Gowdy S, Guiducci L, Hansen M, Harvey J, Hegeman J, Hegner B, Henderson C, Hesketh G, Hoffmann HF, Honma A, Innocente V, Janot P, Karavakis E, Lecoq P, Leonidopoulos C, Lourenço C, Macpherson A, Mäki T, Malgeri L, Mannelli M, Masetti L, Meijers F, Mersi S, Meschi E, Moser R, Mozer MU, Mulders M, Nesvold E, Nguyen M, Orimoto T, Orsini L, Perez E, Petrilli A, Pfeiffer A, Pierini M, Pimiä M, Polese G, Racz A, Rodrigues Antunes J, Rolandi G, Rommerskirchen T, Rovelli C, Rovere M, Sakulin H, Schäfer C, Schwick C, Segoni I, Sharma A, Siegrist P, Simon M, Sphicas P, Spiga D, Spiropulu M, Stöckli F, Stoye M, Tropea P, Tsirou A, Tsyganov A, Veres GI, Vichoudis P, Voutilainen M, Zeuner WD, Bertl W, Deiters K, Erdmann W, Gabathuler K, Horisberger R, Ingram Q, Kaestli HC, König S, Kotlinski D, Langenegger U, Meier F, Renker D, Rohe T, Sibille J, Starodumov A, Bortignon P, Caminada L, Chen Z, Cittolin S, Dissertori G, Dittmar M, Eugster J, Freudenreich K, Grab C, Hervé A, Hintz W, Lecomte P, Lustermann W, Marchica C, Martinez Ruiz del Arbol P, Meridiani P, Milenovic P, Moortgat F, Nef P, Nessi-Tedaldi F, Pape L, Pauss F, Punz T, Rizzi A, Ronga FJ, Rossini M, Sala L, Sanchez AK, Sawley MC, Stieger B, Tauscher L, Thea A, Theofilatos K, Treille D, Urscheler C, Wallny R, Weber M, Wehrli L, Weng J, Aguiló E, Amsler C, Chiochia V, De Visscher S, Favaro C, Ivova Rikova M, Millan Mejias B, Regenfus C, Robmann P, Schmidt A, Snoek H, Chang YH, Chen KH, Chen WT, Dutta S, Go A, Kuo CM, Li SW, Lin W, Liu MH, Liu ZK, Lu YJ, Wu JH, Yu SS, Bartalini P, Chang P, Chang YH, Chang YW, Chao Y, Chen KF, Hou WS, Hsiung Y, Kao KY, Lei YJ, Lu RS, Shiu JG, Tzeng YM, Wang M, Adiguzel A, Bakirci MN, Cerci S, Dozen C, Dumanoglu I, Eskut E, Girgis S, Gokbulut G, Guler Y, Gurpinar E, Hos I, Kangal EE, Karaman T, Kayis Topaksu A, Nart A, Onengut G, Ozdemir K, Ozturk S, Polatoz A, Sogut K, Tali B, Topakli H, Uzun D, Vergili LN, Vergili M, Zorbilmez C, Akin IV, Aliev T, Bilmis S, Deniz M, Gamsizkan H, Guler AM, Ocalan K, Ozpineci A, Serin M, Sever R, Surat UE, Yildirim E, Zeyrek M, Deliomeroglu M, Demir D, Gülmez E, Halu A, Isildak B, Kaya M, Kaya O, Ozkorucuklu S, Sonmez N, Levchuk L, Bell P, Bostock F, Brooke JJ, Cheng TL, Clement E, Cussans D, Frazier R, Goldstein J, Grimes M, Hansen M, Hartley D, Heath GP, Heath HF, Huckvale B, Jackson J, Kreczko L, Metson S, Newbold DM, Nirunpong K, Poll A, Senkin S, Smith VJ, Ward S, Basso L, Bell KW, Belyaev A, Brew C, Brown RM, Camanzi B, Cockerill DJA, Coughlan JA, Harder K, Harper S, Kennedy BW, Olaiya E, Petyt D, Radburn-Smith BC, Shepherd-Themistocleous CH, Tomalin IR, Womersley WJ, Worm SD, Bainbridge R, Ball G, Ballin J, Beuselinck R, Buchmuller O, Colling D, Cripps N, Cutajar M, Davies G, Della Negra M, Fulcher J, Futyan D, Guneratne Bryer A, Hall G, Hatherell Z, Hays J, Iles G, Karapostoli G, Lyons L, Magnan AM, Marrouche J, Nandi R, Nash J, Nikitenko A, Papageorgiou A, Pesaresi M, Petridis K, Pioppi M, Raymond DM, Rompotis N, Rose A, Ryan MJ, Seez C, Sharp P, Sparrow A, Tapper A, Tourneur S, Vazquez Acosta M, Virdee T, Wakefield S, Wardrope D, Whyntie T, Barrett M, Chadwick M, Cole JE, Hobson PR, Khan A, Kyberd P, Leslie D, Martin W, Reid ID, Teodorescu L, Hatakeyama K, Bose T, Carrera Jarrin E, Clough A, Fantasia C, Heister A, St John J, Lawson P, Lazic D, Rohlf J, Sperka D, Sulak L, Avetisyan A, Bhattacharya S, Chou JP, Cutts D, Ferapontov A, Heintz U, Jabeen S, Kukartsev G, Landsberg G, Narain M, Nguyen D, Segala M, Speer T, Tsang KV, Borgia MA, Breedon R, Calderon De La Barca Sanchez M, Cebra D, Chauhan S, Chertok M, Conway J, Cox PT, Dolen J, Erbacher R, Friis E, Ko W, Kopecky A, Lander R, Liu H, Maruyama S, Miceli T, Nikolic M, Pellett D, Robles J, Salur S, Schwarz T, Searle M, Smith J, Squires M, Tripathi M, Vasquez Sierra R, Veelken C, Andreev V, Arisaka K, Cline D, Cousins R, Deisher A, Duris J, Erhan S, Farrell C, Hauser J, Ignatenko M, Jarvis C, Plager C, Rakness G, Schlein P, Tucker J, Valuev V, Babb J, Clare R, Ellison J, Gary JW, Giordano F, Hanson G, Jeng GY, Kao SC, Liu F, Liu H, Luthra A, Nguyen H, Pasztor G, Satpathy A, Shen BC, Stringer R, Sturdy J, Sumowidagdo S, Wilken R, Wimpenny S, Andrews W, Branson JG, Cerati GB, Dusinberre E, Evans D, Golf F, Holzner A, Kelley R, Lebourgeois M, Letts J, Mangano B, Muelmenstaedt J, Padhi S, Palmer C, Petrucciani G, Pi H, Pieri M, Ranieri R, Sani M, Sharma V, Simon S, Tu Y, Vartak A, Würthwein F, Yagil A, Barge D, Bellan R, Campagnari C, D'Alfonso M, Danielson T, Flowers K, Geffert P, Incandela J, Justus C, Kalavase P, Koay SA, Kovalskyi D, Krutelyov V, Lowette S, McColl N, Pavlunin V, Rebassoo F, Ribnik J, Richman J, Rossin R, Stuart D, To W, Vlimant JR, Bornheim A, Bunn J, Chen Y, Gataullin M, Kcira D, Litvine V, Ma Y, Mott A, Newman HB, Rogan C, Timciuc V, Traczyk P, Veverka J, Wilkinson R, Yang Y, Zhu RY, Akgun B, Carroll R, Ferguson T, Iiyama Y, Jang DW, Jun SY, Liu YF, Paulini M, Russ J, Terentyev N, Vogel H, Vorobiev I, Cumalat JP, Dinardo ME, Drell BR, Edelmaier CJ, Ford WT, Heyburn B, Luiggi Lopez E, Nauenberg U, Smith JG, Stenson K, Ulmer KA, Wagner SR, Zang SL, Agostino L, Alexander J, Chatterjee A, Das S, Eggert N, Fields LJ, Gibbons LK, Heltsley B, Hopkins W, Khukhunaishvili A, Kreis B, Kuznetsov V, Nicolas Kaufman G, Patterson JR, Puigh D, Riley D, Ryd A, Shi X, Sun W, Teo WD, Thom J, Thompson J, Vaughan J, Weng Y, Winstrom L, Wittich P, Biselli A, Cirino G, Winn D, Abdullin S, Albrow M, Anderson J, Apollinari G, Atac M, Bakken JA, Banerjee S, Bauerdick LAT, Beretvas A, Berryhill J, Bhat PC, Bloch I, Borcherding F, Burkett K, Butler JN, Chetluru V, Cheung HWK, Chlebana F, Cihangir S, Demarteau M, Eartly DP, Elvira VD, Esen S, Fisk I, Freeman J, Gao Y, Gottschalk E, Green D, Gunthoti K, Gutsche O, Hahn A, Hanlon J, Harris RM, Hirschauer J, Hooberman B, James E, Jensen H, Johnson M, Joshi U, Khatiwada R, Kilminster B, Klima B, Kousouris K, Kunori S, Kwan S, Limon P, Lipton R, Lykken J, Maeshima K, Marraffino JM, Mason D, McBride P, McCauley T, Miao T, Mishra K, Mrenna S, Musienko Y, Newman-Holmes C, O'Dell V, Popescu S, Pordes R, Prokofyev O, Saoulidou N, Sexton-Kennedy E, Sharma S, Soha A, Spalding WJ, Spiegel L, Tan P, Taylor L, Tkaczyk S, Uplegger L, Vaandering EW, Vidal R, Whitmore J, Wu W, Yang F, Yumiceva F, Yun JC, Acosta D, Avery P, Bourilkov D, Chen M, Di Giovanni GP, Dobur D, Drozdetskiy A, Field RD, Fisher M, Fu Y, Furic IK, Gartner J, Goldberg S, Kim B, Klimenko S, Konigsberg J, Korytov A, Kropivnitskaya A, Kypreos T, Matchev K, Mitselmakher G, Muniz L, Pakhotin Y, Prescott C, Remington R, Schmitt M, Scurlock B, Sellers P, Skhirtladze N, Wang D, Yelton J, Zakaria M, Ceron C, Gaultney V, Kramer L, Lebolo LM, Linn S, Markowitz P, Martinez G, Rodriguez JL, Adams T, Askew A, Bandurin D, Bochenek J, Chen J, Diamond B, Gleyzer SV, Haas J, Hagopian S, Hagopian V, Jenkins M, Johnson KF, Prosper H, Quertenmont L, Sekmen S, Veeraraghavan V, Baarmand MM, Dorney B, Guragain S, Hohlmann M, Kalakhety H, Ralich R, Vodopiyanov I, Adams MR, Anghel IM, Apanasevich L, Bai Y, Bazterra VE, Betts RR, Callner J, Cavanaugh R, Dragoiu C, Garcia-Solis EJ, Gerber CE, Hofman DJ, Khalatyan S, Lacroix F, Malek M, O'Brien C, Silvestre C, Smoron A, Strom D, Varelas N, Akgun U, Albayrak EA, Bilki B, Cankocak K, Clarida W, Duru F, Lae CK, McCliment E, Merlo JP, Mermerkaya H, Mestvirishvili A, Moeller A, Nachtman J, Newsom CR, Norbeck E, Olson J, Onel Y, Ozok F, Sen S, Wetzel J, Yetkin T, Yi K, Barnett BA, Blumenfeld B, Bonato A, Eskew C, Fehling D, Giurgiu G, Gritsan AV, Guo ZJ, Hu G, Maksimovic P, Rappoccio S, Swartz M, Tran NV, Whitbeck A, Baringer P, Bean A, Benelli G, Grachov O, Murray M, Noonan D, Radicci V, Sanders S, Wood JS, Zhukova V, Bolton T, Chakaberia I, Ivanov A, Makouski M, Maravin Y, Shrestha S, Svintradze I, Wan Z, Gronberg J, Lange D, Wright D, Baden A, Boutemeur M, Eno SC, Ferencek D, Gomez JA, Hadley NJ, Kellogg RG, Kirn M, Lu Y, Mignerey AC, Rossato K, Rumerio P, Santanastasio F, Skuja A, Temple J, Tonjes MB, Tonwar SC, Twedt E, Alver B, Bauer G, Bendavid J, Busza W, Butz E, Cali IA, Chan M, Dutta V, Everaerts P, Gomez Ceballos G, Goncharov M, Hahn KA, Harris P, Kim Y, Klute M, Lee YJ, Li W, Loizides C, Luckey PD, Ma T, Nahn S, Paus C, Ralph D, Roland C, Roland G, Rudolph M, Stephans GSF, Sumorok K, Sung K, Wenger EA, Xie S, Yang M, Yilmaz Y, Yoon AS, Zanetti M, Cole P, Cooper SI, Cushman P, Dahmes B, De Benedetti A, Dudero PR, Franzoni G, Haupt J, Klapoetke K, Kubota Y, Mans J, Rekovic V, Rusack R, Sasseville M, Singovsky A, Cremaldi LM, Godang R, Kroeger R, Perera L, Rahmat R, Sanders DA, Summers D, Bloom K, Bose S, Butt J, Claes DR, Dominguez A, Eads M, Keller J, Kelly T, Kravchenko I, Lazo-Flores J, Lundstedt C, Malbouisson H, Malik S, Snow GR, Baur U, Godshalk A, Iashvili I, Jain S, Kharchilava A, Kumar A, Shipkowski SP, Smith K, Alverson G, Barberis E, Baumgartel D, Boeriu O, Chasco M, Kaadze K, Reucroft S, Swain J, Wood D, Zhang J, Anastassov A, Kubik A, Odell N, Ofierzynski RA, Pollack B, Pozdnyakov A, Schmitt M, Stoynev S, Velasco M, Won S, Antonelli L, Berry D, Hildreth M, Jessop C, Karmgard DJ, Kolb J, Kolberg T, Lannon K, Luo W, Lynch S, Marinelli N, Morse DM, Pearson T, Ruchti R, Slaunwhite J, Valls N, Warchol J, Wayne M, Ziegler J, Bylsma B, Durkin LS, Gu J, Hill C, Killewald P, Kotov K, Ling TY, Rodenburg M, Williams G, Adam N, Berry E, Elmer P, Gerbaudo D, Halyo V, Hebda P, Hunt A, Jones J, Laird E, Lopes Pegna D, Marlow D, Medvedeva T, Mooney M, Olsen J, Piroué P, Quan X, Saka H, Stickland D, Tully C, Werner JS, Zuranski A, Acosta JG, Huang XT, Lopez A, Mendez H, Oliveros S, Ramirez Vargas JE, Zatserklyaniy A, Alagoz E, Barnes VE, Bolla G, Borrello L, Bortoletto D, Everett A, Garfinkel AF, Gecse Z, Gutay L, Hu Z, Jones M, Koybasi O, Laasanen AT, Leonardo N, Liu C, Maroussov V, Merkel P, Miller DH, Neumeister N, Shipsey I, Silvers D, Svyatkovskiy A, Yoo HD, Zablocki J, Zheng Y, Jindal P, Parashar N, Boulahouache C, Cuplov V, Ecklund KM, Geurts FJM, Liu JH, Padley BP, Redjimi R, Roberts J, Zabel J, Betchart B, Bodek A, Chung YS, Covarelli R, de Barbaro P, Demina R, Eshaq Y, Flacher H, Garcia-Bellido A, Goldenzweig P, Gotra Y, Han J, Harel A, Miner DC, Orbaker D, Petrillo G, Vishnevskiy D, Zielinski M, Bhatti A, Ciesielski R, Demortier L, Goulianos K, Lungu G, Mesropian C, Yan M, Atramentov O, Barker A, Duggan D, Gershtein Y, Gray R, Halkiadakis E, Hidas D, Hits D, Lath A, Panwalkar S, Patel R, Richards A, Rose K, Schnetzer S, Somalwar S, Stone R, Thomas S, Cerizza G, Hollingsworth M, Spanier S, Yang ZC, York A, Asaadi J, Eusebi R, Gilmore J, Gurrola A, Kamon T, Khotilovich V, Montalvo R, Nguyen CN, Osipenkov I, Pivarski J, Safonov A, Sengupta S, Tatarinov A, Toback D, Weinberger M, Akchurin N, Bardak C, Damgov J, Jeong C, Kovitanggoon K, Lee SW, Mane P, Roh Y, Sill A, Volobouev I, Wigmans R, Yazgan E, Appelt E, Brownson E, Engh D, Florez C, Gabella W, Johns W, Kurt P, Maguire C, Melo A, Sheldon P, Velkovska J, Arenton MW, Balazs M, Boutle S, Buehler M, Conetti S, Cox B, Francis B, Hirosky R, Ledovskoy A, Lin C, Neu C, Yohay R, Gollapinni S, Harr R, Karchin PE, Lamichhane P, Mattson M, Milstène C, Sakharov A, Anderson M, Bachtis M, Bellinger JN, Carlsmith D, Dasu S, Efron J, Gray L, Grogg KS, Grothe M, Hall-Wilton R, Herndon M, Klabbers P, Klukas J, Lanaro A, Lazaridis C, Leonard J, Loveless R, Mohapatra A, Reeder D, Ross I, Savin A, Smith WH, Swanson J, Weinberg M. Measurement of the B(+) production cross section in pp collisions at sqrt[s]=7 TeV. PHYSICAL REVIEW LETTERS 2011; 106:112001. [PMID: 21469857 DOI: 10.1103/physrevlett.106.112001] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2010] [Indexed: 05/30/2023]
Abstract
Measurements of the total and differential cross sections dσ/dp(T)(B) and dσ/dy(B) for B(+) mesons produced in pp collisions at sqrt[s]=7 TeV are presented. The data correspond to an integrated luminosity of 5.8 pb(-1) collected by the CMS experiment operating at the LHC. The exclusive decay B(+)→J/ψK(+), with J/ψ→μ(+)μ(-), is used to detect B(+) mesons and to measure the production cross section as a function of p(T)(B) and y(B). The total cross section for p(T)(B)>5 GeV and |y(B)|<2.4 is measured to be 28.1±2.4±2.0±3.1 μb, where the first uncertainty is statistical, the second is systematic, and the last is from the luminosity measurement.
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Wang J, Song H, Tang X, Yang Y, Vieira VJ, Niu Y, Ma Y. Effect of exercise training intensity on murine T-regulatory cells and vaccination response. Scand J Med Sci Sports 2011; 22:643-52. [PMID: 21410542 DOI: 10.1111/j.1600-0838.2010.01288.x] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
To understand the underlying mechanism(s) for the effect of exercise at different intensities on T cell and DNA vaccination responses, we treated mice in a training protocol with regular moderate-intensity exercise (MIE) or prolonged, exhaustive high-intensity exercise (HIE). After 6 weeks of training, splenocytes were isolated to evaluate cytokine expression and T-regulatory (Treg) cell proportion by RT-PCR and FACS, respectively. Another set of mice that completed the same training protocol were used to determine DNA vaccination responses. These mice were immunized three times with HBV DNA vaccine at 2-week intervals and euthanized on day 14 after the last immunization. Serum and splenocytes were isolated to determine humoral and cell-mediated immunity (CMI). Results showed that HIE increased anti-inflammatory cytokine expression and CD4(+) CD25(+) Treg cell proportion. Further, HIE decreased IFN-γ expression, T-lymphocyte proliferation, and antigen-specic cytotoxic response in HBV DNA vaccine-immunized mice. MIE did not change anti-inflammatory cytokine expression or CD4(+) CD25(+) Treg cell proportion but increased pro-inflammatory cytokine expression and augmented antigen-specific CMI. Thus, MIE lower the risk of cancer and infectious illness through enhancing the pro-inflammatory responses. By contrast, HIE might increase the risk of common infections, such as upper respiratory tract infection, due to an up-regulation of CD4(+) CD25(+) Treg cells and anti-inflammatory responses.
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Liu L, Wang J, Yang W, Chen SJ. In Vivo Stress Analysis of a Pacing Lead From an Angiographic Sequence. J Biomech Eng 2011; 133:041004. [DOI: 10.1115/1.4003524] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In this paper, a method is presented to analyze the mechanical stress distribution in a pacing lead based on a sequence of paired 2D angiographic images. The 3D positions and geometrical shapes of an implanted pacemaker lead throughout the cardiac cycle were generated using a previously validated 3D modeling technique. Based on the Frenet–Serret formulas, the kinematic property of the lead was derived and characterized. The distribution of curvature and twist angle per unit length in the pacing lead was calculated from a finite difference method, which enabled a rapid and effective computation of the mechanical stress in the pacing lead. The analytical solution of the helix deformation geometry was used to evaluate the accuracy of the proposed numerical method, and an excellent agreement in curvature, twist angle, and stresses was achieved. As demonstrated in the example, the proposed technique can be used to analyze the complex movement and deformation of the implanted pacing lead in vivo. The information can facilitate the future development of pacing leads.
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Yang ZH, Wang J, Chan KS. Spin accumulation in triplet Josephson junction. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2011; 23:085701. [PMID: 21411901 DOI: 10.1088/0953-8984/23/8/085701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
We employ a Hamiltonian method to study the equal-spin pairing triplet Josephson junction with different orbital symmetries of pair potentials. Both the spin/charge supercurrent and possible spin accumulation at the interface of the junction are analyzed by means of the Keldysh Green's function. It is found that a spontaneous angle-resolved spin accumulation can form at the junction's interface when the orbital symmetries of Cooper pairs in two triplet superconductors are different, the physical origin is the combined effect of the different orbital symmetries and different spin states of Cooper pairs due to the misalignment of two d vectors in triplet leads. An abrupt current reversal effect induced by misalignment of d vectors is observed and can survive in a strong interface barrier scattering because the zero-energy state appears at the interface of the junction. These properties of the p-wave Josephson junction may be helpful for identifying the order parameter symmetry.
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Wang J, Wang F, Enke CA. Effect of signet-ring cell carcinoma histology on bladder cancer outcome. J Clin Oncol 2011. [DOI: 10.1200/jco.2011.29.7_suppl.275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
275 Background: Signet-ring cell carcinoma (SRCC) of the urinary bladder is a rare entity. Recent case series of the condition showed inconsistent results. We used a population-based data set to compare the cancer specific survival of patients with signet-ring cell carcinoma vs. transitional cell carcinoma (TCC) of the urinary bladder. Methods: Signet-ring cell carcinoma of the urinary bladder and transitional carcinoma of the urinary bladder were identified in the Surveillance, Epidemiology and End Results program (2001 to 2004). Demographic and pathological characteristics at diagnosis were compared. Differences in cancer specific survival were compared with univariate and multivariate Cox regression analysis. Results: A total of 103 SRCC cases were present in the database from 2001 to 2004. In that time 14,648 cases TCC cases were diagnosed. SRCC was more common in younger than in older patients (p <0.001); more commonly presented with high grade histology (p <0.001) and advanced stage disease (p <0.001). The 3-year cancer specific survival rate was 67.0% and 33.2% for TCC and SRCC, respectively. On multivariate analysis there was an increased mortality risk in patients with SRCC vs TCC (HR 1.42, 95% CI 1.03–1.97, p <0.001). When only high grade cases of SRCC and TCC were compared, the risk was still worse in SRCC (HR 1.430, 95% CI 1.035–1.976, 0.03). When only local stage of SRCC and TCC were compared, the risk was worse in SRCC (HR 4.294, 95% CI 1.035–17.825, 0.045). Limited to patient who underwent cystectomy only, the difference in cancer specific survival disappeared (HR 1.289, 95% CI 0.771–2.155, 0.33). Conclusions: Even after adjusting for demographic, pathological and treatment factors, cancer specific survival is significantly worse in patients with SRCC than TCC. Further research into the biology of this rare tumor is required to explain these results. No significant financial relationships to disclose.
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Wang J, Bax M, Balog CIA, Stavenhagen K, Koeleman CAM, Scherer HU, Deelder AM, Huizinga TWJ, Toes REM, Wuhrer M. Fc-glycosylation of IgG1 is modulated by B cell Stimuli. Ann Rheum Dis 2011. [DOI: 10.1136/ard.2010.149005.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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