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Institution

Wake Forest University

EducationWinston-Salem, North Carolina, United States
About: Wake Forest University is a education organization based out in Winston-Salem, North Carolina, United States. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 21499 authors who have published 48731 publications receiving 2246027 citations. The organization is also known as: Wake Forest College.


Papers
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Journal ArticleDOI
TL;DR: A variety of biomaterials are evaluated, such as curable synthetic polymers, synthetic gels, and naturally derived hydrogels, that are responsible for supporting the cellular components during and after biofabrication and that are compatible with the bioprinting device requirements.
Abstract: Bioprinting has emerged in recent years as an attractive method for creating 3-D tissues and organs in the laboratory, and therefore is a promising technology in a number of regenerative medicine applications. It has the potential to (i) create fully functional replacements for damaged tissues in patients, and (ii) rapidly fabricate small-sized human-based tissue models, or organoids, for diagnostics, pathology modeling, and drug development. A number of bioprinting modalities have been explored, including cellular inkjet printing, extrusion-based technologies, soft lithography, and laser-induced forward transfer. Despite the innovation of each of these technologies, successful implementation of bioprinting relies heavily on integration with compatible biomaterials that are responsible for supporting the cellular components during and after biofabrication, and that are compatible with the bioprinting device requirements. In this review, we will evaluate a variety of biomaterials, such as curable synthetic polymers, synthetic gels, and naturally derived hydrogels. Specifically we will describe how they are integrated with the bioprinting technologies above to generate bioprinted constructs with practical application in medicine.

374 citations

Journal ArticleDOI
TL;DR: A new criterion for computational prediction of nitrogen fixation is proposed: the presence of a minimum set of six genes coding for structural and biosynthetic components, namely NifHDK and NifENB.
Abstract: The metabolic capacity for nitrogen fixation is known to be present in several prokaryotic species scattered across taxonomic groups. Experimental detection of nitrogen fixation in microbes requires species-specific conditions, making it difficult to obtain a comprehensive census of this trait. The recent and rapid increase in the availability of microbial genome sequences affords novel opportunities to re-examine the occurrence and distribution of nitrogen fixation genes. The current practice for computational prediction of nitrogen fixation is to use the presence of the nifH and/or nifD genes. Based on a careful comparison of the repertoire of nitrogen fixation genes in known diazotroph species we propose a new criterion for computational prediction of nitrogen fixation: the presence of a minimum set of six genes coding for structural and biosynthetic components, namely NifHDK and NifENB. Using this criterion, we conducted a comprehensive search in fully sequenced genomes and identified 149 diazotrophic species, including 82 known diazotrophs and 67 species not known to fix nitrogen. The taxonomic distribution of nitrogen fixation in Archaea was limited to the Euryarchaeota phylum; within the Bacteria domain we predict that nitrogen fixation occurs in 13 different phyla. Of these, seven phyla had not hitherto been known to contain species capable of nitrogen fixation. Our analyses also identified protein sequences that are similar to nitrogenase in organisms that do not meet the minimum-gene-set criteria. The existence of nitrogenase-like proteins lacking conserved co-factor ligands in both diazotrophs and non-diazotrophs suggests their potential for performing other, as yet unidentified, metabolic functions. Our predictions expand the known phylogenetic diversity of nitrogen fixation, and suggest that this trait may be much more common in nature than it is currently thought. The diverse phylogenetic distribution of nitrogenase-like proteins indicates potential new roles for anciently duplicated and divergent members of this group of enzymes.

373 citations

Journal ArticleDOI
TL;DR: The approach to treating patients with psoriasis across the entire spectrum of this fascinating disease from mild to moderate to severe, with and without psoriatic arthritis, is described, based on the 5 prior published guidelines.
Abstract: Psoriasis is a common, chronic, inflammatory, multisystem disease with predominantly skin and joint manifestations affecting approximately 2% of the population. In the first 5 parts of the AmericanAcademy of Dermatology Psoriasis Guidelines of Care, we have presented evidence supporting the use of topical treatments, phototherapy, traditional systemic agents, and biological therapies for patients with psoriasis and psoriatic arthritis. In this sixth and final section of the Psoriasis Guidelines of Care, we will present cases to illustrate how to practically use these guidelines in specific clinical scenarios. We will describe the approach to treating patients with psoriasis across the entire spectrum of this fascinating disease from mild to moderate to severe, with and without psoriatic arthritis, based on the 5 prior published guidelines. Although specific therapeutic recommendations are given for each of the cases presented, it is important that treatment be tailored to meet individual patients' needs. In addition, we will update the prior 5 guidelines and address gaps in research and care that currently exist, while making suggestions for further studies that could be performed to help address these limitations in our knowledge base.

372 citations

Journal ArticleDOI
TL;DR: The magnitude of clinically important change in physical performance measures is reasonably consistent using several analytic techniques and appears to be achievable in clinical trials of exercise.
Abstract: Performance measures provide important information, but the meaning of change in these measures is not well known. The purpose of this research is to 1) examine the effect of treatment assignment on the relationship between self-report and performance; 2) to estimate the magnitude of meaningful change in 400- meter walk time (400MWT), 4-meter gait speed (4MGS), and Short Physical Performance Battery (SPPB) and 3) to evaluate the effect of direction of change on estimates of magnitude. This is a secondary analysis of data from the LIFE-P study, a single blinded randomized clinical trial. Using change over one year, we applied distribution-based and anchor-based methods for self-reported mobility to estimate minimally important and substantial change in 400MWT, 4MGS and SPPB. Four university-based clinical research sites. Sedentary adults aged 70–89 whose SPPB scores were less than 10 and who were able to complete a 400MW at baseline (n=424). A structured exercise program versus health education. 400MWT, 4MGS, SPPB. Relationships between self-report and performance measures were consistent between treatment arms. Minimally significant change estimates were 400MWT: 20–30 seconds, 4MGS: 0.03–0.05m/s and SPPB: 0.3–0.8 points. Substantial changes were 400MWT: 50–60 seconds, 4MGS: 0.08m/s, SPPB: 0.4–1.5 points. Magnitudes of change for improvement and decline were not significantly different. The magnitude of clinically important change in physical performance measures is reasonably consistent using several analytic techniques and appears to be achievable in clinical trials of exercise. Due to limited power, the effect of direction of change on estimates of magnitude remains uncertain.

371 citations


Authors

Showing all 21721 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Ralph B. D'Agostino2261287229636
David J. Hunter2131836207050
Ronald Klein1941305149140
Luigi Ferrucci1931601181199
Bruce M. Psaty1811205138244
Kenneth C. Anderson1781138126072
Brenda W.J.H. Penninx1701139119082
Russel J. Reiter1691646121010
David R. Jacobs1651262113892
Barbara E.K. Klein16085693319
Christopher J. O'Donnell159869126278
Steven R. Cummings158579104007
David Cella1561258106402
Jack M. Guralnik14845383701
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022343
20212,610
20202,331
20192,132
20181,978