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Institution

Tulane University

EducationNew Orleans, Louisiana, United States
About: Tulane University is a education organization based out in New Orleans, Louisiana, United States. It is known for research contribution in the topics: Population & Blood pressure. The organization has 24478 authors who have published 47205 publications receiving 1944993 citations. The organization is also known as: University of Louisiana.


Papers
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Journal ArticleDOI
TL;DR: Subjects in the observational cohort had higher Acute Physiology and Chronic Health Evaluation II scores than did participants in the clinical trial, which suggests that the former subjects are more often excluded from therapeutic trials.
Abstract: We conducted a prospective, multicenter observational study of adults (n=1447) and children (n=144) with candidemia at tertiary care centers in the United States in parallel with a candidemia treatment trial that included nonneutropenic adults. Candida albicans was the most common bloodstream isolate recovered from adults and children (45% vs. 49%) and was associated with high mortality (47% among adults vs. 29% among children). Three-month survival was better among children than among adults (76% vs. 54%; P<.001). Most children received amphotericin B as initial therapy, whereas most adults received fluconazole. In adults, Candida parapsilosis fungemia was associated with lower mortality than was non-parapsilosis candidemia (24% vs. 46%; P<.001). Mortality was similar among subjects with Candida glabrata or non-glabrata candidemia; mortality was also similar among subjects with C. glabrata candidemia who received fluconazole rather than other antifungal therapy. Subjects in the observational cohort had higher Acute Physiology and Chronic Health Evaluation II scores than did participants in the clinical trial (18.6 vs. 16.1), which suggests that the former subjects are more often excluded from therapeutic trials.

802 citations

Journal ArticleDOI
Paul Muntner1, Jiang He1, L. Lee Hamm1, Catherine M. Loria1, Paul K. Whelton1 
TL;DR: This study indicates that, in a representative sample of the United States general population, renal insufficiency is independently associated with increased cardiovascular disease-related and all-cause mortality rates.
Abstract: . Several epidemiologic studies reported that persons with renal insufficiency might have increased cardiovascular disease-related mortality rates in select populations. The association between renal insufficiency and increased cardiovascular disease-related and all-cause mortality rates during 16 yr of follow-up monitoring was examined among participants who were 30 to 74 yr of age at the baseline examinations in 1976 to 1980, with urinary protein dipstick measurements ( n = 8786) or serum creatinine levels of ≤3.0 mg/dl ( n = 6354), from the Second National Health and Nutrition Examination Survey Mortality Study. GFR were estimated by adjusting serum creatinine levels for age, race, and gender, using the Modification of Diet in Renal Disease formula. Cardiovascular disease-related mortality rates were 6.2, 17.9, and 37.2 deaths/1000 person-yr among subjects with urinary protein levels of P trend = 0.02). The corresponding relative hazards for all-cause-related death were 1.64 (1.23 to 2.18) and 2.00 (1.13 to 3.55; P trend

802 citations

Journal ArticleDOI
Daniel Taliun1, Daniel N. Harris2, Michael D. Kessler2, Jedidiah Carlson1  +202 moreInstitutions (61)
10 Feb 2021-Nature
TL;DR: The Trans-Omics for Precision Medicine (TOPMed) project as discussed by the authors aims to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases.
Abstract: The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1 In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals) These rare variants provide insights into mutational processes and recent human evolutionary history The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 001% The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history

801 citations

Journal ArticleDOI
TL;DR: An "interfacial activity model" is proposed, which is based on an experimentally testable molecular image of AMP-membrane interactions, which may be useful in driving engineering and design of novel AMPs.
Abstract: Antimicrobial peptides (AMPs) have been studied for three decades, and yet a molecular understanding of their mechanism of action is still lacking. Here we summarize current knowledge for both synthetic vesicle experiments and microbe experiments, with a focus on comparisons between the two. Microbial experiments are done at peptide to lipid ratios that are at least 4 orders of magnitude higher than vesicle-based experiments. To close the gap between the two concentration regimes, we propose an “interfacial activity model”, which is based on an experimentally testable molecular image of AMP–membrane interactions. The interfacial activity model may be useful in driving engineering and design of novel AMPs.

788 citations

Journal ArticleDOI
01 Jun 1989-Nature
TL;DR: SIVsm has infected macaques in captivity and humans in West Africa and evolved as SIVmac and HIV-2, respectively, according to molecularly cloned and sequenced SIVsm.
Abstract: THE ancestors of the human immunodeficiency viruses (HIV-1 and HIV-2) may have evolved from a reservoir of African non-human primate lentiviruses, termed simian immunodeficiency viruses (SIV)1. None of the SIV strains characterized so far are closely related to HIV-12–6. HIV-2, however, is closely related to SIV (SIVmac) isolated from captive rhesus macaques (Macaca mulatta)7. SIV infection of feral Asian macaques has not been demonstrated by serological surveys8,9. Thus, macaques may have acquired SIV in captivity by cross-species transmission from an SIV-infected African primate. Sooty mangabeys (Cercocebm atys), an African primate species indigenous to West Africa, however, are infected with SIV (SIVsm) both in captivity9–11and in the wild (P. Fultz, personal communication). We have molecularly cloned and sequenced SIVsm and report here that it is closely related to SIVmac and HIV-2. These results suggest that SIVsm has infected macaques in captivity and humans in West Africa and evolved as SIVmac and HIV-2, respectively.

786 citations


Authors

Showing all 24722 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
JoAnn E. Manson2701819258509
Frank B. Hu2501675253464
Eric B. Rimm196988147119
Krzysztof Matyjaszewski1691431128585
Nicholas J. White1611352104539
Tien Yin Wong1601880131830
Tomas Hökfelt158103395979
Thomas E. Starzl150162591704
Geoffrey Burnstock141148899525
Joseph Sodroski13854277070
Glenn M. Chertow12876482401
Darwin J. Prockop12857687066
Kenneth J. Pienta12767164531
Charles Taylor12674177626
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022372
20212,622
20202,491
20192,038
20181,795