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Institution

University of North Dakota

EducationGrand Forks, North Dakota, United States
About: University of North Dakota is a education organization based out in Grand Forks, North Dakota, United States. It is known for research contribution in the topics: Population & Eating disorders. The organization has 7661 authors who have published 14097 publications receiving 377829 citations. The organization is also known as: UND.


Papers
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Journal ArticleDOI
TL;DR: Criteria for the classification of fibromyalgia are widespread pain in combination with 2) tenderness at 11 or more of the 18 specific tender point sites, and no exclusions are made for the presence of concomitant radiographic or laboratory abnormalities.
Abstract: To develop criteria for the classification of fibromyalgia, we studied 558 consecutive patients: 293 patients with fibromyalgia and 265 control patients. Interviews and examinations were performed by trained, blinded assessors. Control patients for the group with primary fibromyalgia were matched for age and sex, and limited to patients with disorders that could be confused with primary fibromyalgia. Control patients for the group with secondary-concomitant fibromyalgia were matched for age, sex, and concomitant rheumatic disorders. Widespread pain (axial plus upper and lower segment plus left- and right-sided pain) was found in 97.6% of all patients with fibromyalgia and in 69.1% of all control patients. The combination of widespread pain and mild or greater tenderness in greater than or equal to 11 of 18 tender point sites yielded a sensitivity of 88.4% and a specificity of 81.1%. Primary fibromyalgia patients and secondary-concomitant fibromyalgia patients did not differ statistically in any major study variable, and the criteria performed equally well in patients with and those without concomitant rheumatic conditions. The newly proposed criteria for the classification of fibromyalgia are 1) widespread pain in combination with 2) tenderness at 11 or more of the 18 specific tender point sites. No exclusions are made for the presence of concomitant radiographic or laboratory abnormalities. At the diagnostic or classification level, the distinction between primary fibromyalgia and secondary-concomitant fibromyalgia (as defined in the text) is abandoned.

9,289 citations

Journal ArticleDOI
Daniel J. Klionsky1, Kotb Abdelmohsen2, Akihisa Abe3, Joynal Abedin4  +2519 moreInstitutions (695)
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagy-related protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.

5,187 citations

Journal ArticleDOI
TL;DR: This review summarizes the understanding of how glucocorticoids inhibit inflammation and give rise to side effects.
Abstract: Glucocorticoids are among the most common therapeutic agents used in medical practice, yet their mechanisms of action are only partly understood. This review summarizes our understanding of how glu...

2,684 citations

Journal ArticleDOI
22 Jun 2018-Science
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.
Abstract: Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

1,357 citations

Journal Article
TL;DR: Gibson et al. as discussed by the authors argue that a combination of three factors have resulted in widespread public interest in games as learning tools: the ongoing research conducted by game-based learning proponents, the Internet, and today's "Net Generation" who have become disengaged with traditional instruction.
Abstract: After years of research and proselytizing, the proponents of digital game-based learning (DGBL) have been caught unaware. Like the person who is still yelling after the sudden cessation of loud music at a party, DGBL proponents have been shouting to be heard above the prejudice against games. But now, unexpectedly, we have everyone's attention. The combined weight of three factors has resulted in widespread public interest in games as learning tools. The first factor is the ongoing research conducted by DGBL proponents. In each decade since the advent of digital games, researchers have published dozens of essays, articles, and mainstream books on the power of DGBL—including, most recently, Marc Prensky's Digital Game-Based Learning (2001), James Paul Gee's What Video Games Have to Teach Us about Learning and Literacy (2003), Clark Aldrich's Simulations and the Future of Learning: An Innovative (and Perhaps Revolutionary) Approach to e-Learning (2004), Steven Johnson's Everything Bad Is Good for You: How Today's Popular Culture Is Actually Making Us Smarter (2005), Prensky's new book “Don’t Bother Me, Mom, I'm Learning!”: How Computer and Video Games Are Preparing Your Kids for 21st Century Success and How You Can Help! (2006), and the soon-to-be-published Games and Simulations in Online Learning: Research and Development Frameworks, edited by David Gibson, Clark Aldrich, and Marc Prensky. The second factor involves today’s “Net Generation,” or “digital natives,” who have become disengaged with traditional instruction. They require multiple streams of information, prefer inductive reasoning, want frequent and quick interactions with

1,196 citations


Authors

Showing all 7731 results

NameH-indexPapersCitations
Bernd W. Scheithauer11972955985
Robert Rosenthal11244674443
James E. Mitchell10978447313
James E. Lock10666038226
William D. Edwards10645040740
John C. Mitchell10467636467
Carlos M. Grilo9853233435
Stephen D. Miller9443330499
Ross D. Crosby9361631416
Sheila K. West8949933719
Robert L. Nussbaum8633246680
Jun Wang8539219502
Henry A. Lardy8540726768
David S. Friedman8546030907
Dennis P. Curran8050223326
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
202288
2021714
2020684
2019751
2018625