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Institution

University of Pittsburgh

EducationPittsburgh, Pennsylvania, United States
About: University of Pittsburgh is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 87042 authors who have published 201012 publications receiving 9656783 citations. The organization is also known as: Pitt & Western University of Pennsylvania.


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Journal ArticleDOI
TL;DR: An HLA profile was produced that predicted time from HIV–1 infection to the onset of AIDS and support current theory about control of antigen processing by HLA genes and have implications for immunopathogenesis of HIV-1 and other infections.
Abstract: Major histocompatibility complex (MHC) genes (HLA in humans) regulate the immune response to foreign antigens Molecular and serologic techniques were used to identify products of HLA class I, class II and transporter (TAP) genes (also part of the MHC) in homosexual seroconverters to human immunodeficiency virus type 1 (HIV-1) Comprehensive statistical analysis produced an HLA profile that predicted time from HIV-1 infection to the onset of AIDS The profile was developed in a cohort of 139 men and evaluated in a second unrelated cohort of 102 men In the evaluation cohort, the profile discriminated a sixfold difference between groups with the shortest and longest times to AIDS (P = 0001) These findings support current theory about control of antigen processing by HLA genes and have implications for immunopathogenesis of HIV-1 and other infections

990 citations

Journal ArticleDOI
TL;DR: MSCs protect lung tissue from BLM-induced injury by blocking TNF-α and IL-1, two fundamental proinflammatory cytokines in lung, which may provide a novel cellular vector for treating chronic inflammatory diseases in humans.
Abstract: Mesenchymal stem cells (MSCs) have been exploited as cellular vectors to treat a wide array of diseases but the mechanisms responsible for their therapeutic effect remain indeterminate. Previously, we reported that MSCs inhibit bleomycin (BLM)-induced inflammation and fibrosis within the lungs of mice. Interrogation of the MSC transcriptome identified interleukin 1 receptor antagonist (IL1RN) as a potential mediator of this effect. Fractionation studies indicated that MSCs are the principal source of IL1RN in murine bone marrow and that its expression is restricted to a unique subpopulation of cells. Moreover, MSC-conditioned media was shown to block proliferation of an IL-1α-dependent T cell line and inhibit production of TNF-α by activated macrophages in vitro. Studies conducted in mice revealed that MSC administration was more effective than recombinant IL1RN delivered via adenoviral infection or osmotic pumps in inhibiting BLM-induced increases in TNF-α, IL-1α, and IL1RN mRNA in lung, IL1RN protein in bronchoalveolar lavage (BAL) fluid, and trafficking of lymphocytes and neutrophils into the lung. Therefore, MSCs protect lung tissue from BLM-induced injury by blocking TNF-α and IL-1, two fundamental proinflammatory cytokines in lung. Identification of IL1RN-expressing human MSC subpopulations may provide a novel cellular vector for treating chronic inflammatory diseases in humans.

989 citations

Journal ArticleDOI
TL;DR: The current and future impact of multilocus nucleotide-sequence-based approaches to prokaryotic systematics are discussed and the potential, and difficulties, of assigning species status to biologically or ecologically meaningful sequence clusters are considered.
Abstract: There is no widely accepted concept of species for prokaryotes, and assignment of isolates to species is based on measures of phenotypic or genome similarity. The current methods for defining prokaryotic species are inadequate and incapable of keeping pace with the levels of diversity that are being uncovered in nature. Prokaryotic taxonomy is being influenced by advances in microbial population genetics, ecology and genomics, and by the ease with which sequence data can be obtained. Here, we review the classical approaches to prokaryotic species definition and discuss the current and future impact of multilocus nucleotide-sequence-based approaches to prokaryotic systematics. We also consider the potential, and difficulties, of assigning species status to biologically or ecologically meaningful sequence clusters.

989 citations

Journal ArticleDOI
TL;DR: In this article, Kowalski et al. combined the CfA3 supernovae Type Ia (SNIa) sample with samples from the literature to calculate improved constraints on the dark energy equation of state parameter, w.r.t.
Abstract: We combine the CfA3 supernovae Type Ia (SN Ia) sample with samples from the literature to calculate improved constraints on the dark energy equation of state parameter, w. The CfA3 sample is added to the Union set of Kowalski et al. to form the Constitution set and, combined with a BAO prior, produces 1 + w = 0.013+0.066 –0.068 (0.11 syst), consistent with the cosmological constant. The CfA3 addition makes the cosmologically useful sample of nearby SN Ia between 2.6 and 2.9 times larger than before, reducing the statistical uncertainty to the point where systematics play the largest role. We use four light-curve fitters to test for systematic differences: SALT, SALT2, MLCS2k2 (RV = 3.1), and MLCS2k2 (RV = 1.7). SALT produces high-redshift Hubble residuals with systematic trends versus color and larger scatter than MLCS2k2. MLCS2k2 overestimates the intrinsic luminosity of SN Ia with 0.7 < Δ < 1.2. MLCS2k2 with RV = 3.1 overestimates host-galaxy extinction while RV 1.7 does not. Our investigation is consistent with no Hubble bubble. We also find that, after light-curve correction, SN Ia in Scd/Sd/Irr hosts are intrinsically fainter than those in E/S0 hosts by 2σ, suggesting that they may come from different populations. We also find that SN Ia in Scd/Sd/Irr hosts have low scatter (0.1 mag) and reddening. Current systematic errors can be reduced by improving SN Ia photometric accuracy, by including the CfA3 sample to retrain light-curve fitters, by combining optical SN Ia photometry with near-infrared photometry to understand host-galaxy extinction, and by determining if different environments give rise to different intrinsic SN Ia luminosity after correction for light-curve shape and color.

988 citations

Journal ArticleDOI
TL;DR: Therapeutic hypothermia is a highly promising treatment, but the potential side effects need to be properly managed particularly if prolonged treatment periods are required.
Abstract: tance, impaired drug clearance, and mild coagulopathy. Targeted interventions are required to effectively manage these side effects. Hypothermia does not decrease myocardial contractility or induce hypotension if hypovolemia is corrected, and preliminary evidence suggests that it can be safely used in patients with cardiac shock. Cardiac output will decrease due to hypothermiainduced bradycardia, but given that metabolic rate also decreases the balance between supply and demand, is usually maintained or improved. In contrast to deep hypothermia (<30°C), moderate hypothermia does not induce arrhythmias; indeed, the evidence suggests that arrhythmias can be prevented and/or more easily treated under hypothermic conditions. Conclusions: Therapeutic hypothermia is a highly promising treatment, but the potential side effects need to be properly managed particularly if prolonged treatment periods are required. Understanding the underlying mechanisms, awareness of physiological changes associated with cooling, and prevention of potential side effects are all key factors for its effective clinical usage. (Crit Care Med 2009; 37[Suppl.]:S186 –S202)

987 citations


Authors

Showing all 87737 results

NameH-indexPapersCitations
JoAnn E. Manson2701819258509
Graham A. Colditz2611542256034
Yi Chen2174342293080
David J. Hunter2131836207050
David Miller2032573204840
Rakesh K. Jain2001467177727
Lewis C. Cantley196748169037
Dennis W. Dickson1911243148488
Terrie E. Moffitt182594150609
Dennis S. Charney179802122408
Ronald C. Petersen1781091153067
David L. Kaplan1771944146082
Jasvinder A. Singh1762382223370
Richard K. Wilson173463260000
Deborah J. Cook173907148928
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023260
20221,089
202111,151
202010,407
20199,333
20188,577