186,180 research outputs found
Combined administration of G-CSF and GM-CSF stimulates monocyte-derived pro-angiogenic cells in patients with acute myocardial infarction
No full textMobilization of endothelial progenitor cells has been suggested to contribute to neo-vascularization of ischemic organs. Aim of this study was to investigate whether the combination of granulocyte colony stimulating factor (G-CSF) and granulocyte-macrophage (GM)-CSF may influence the expansion of circulating KDR+ cells in patients with acute myocardial infarction (AMI). KDR+ cells significantly increased in peripheral blood of AMI patients treated with G-CSF and GM-CSF compared to untreated patients. This KDR+ cells population was CD14+ but not CD34+ or CD133+. CD14+/KDR+ cells were also obtained in vitro by culturing mononuclear cells from healthy donors in a Rotary Cell Culture System in the presence of G-CSF + GM-CSF, but not of the individual growth factors. CD14+/KDR+ cells, obtained from patients or from in vitro culture, co-expressed hematopoietic (CD45, CD14) and endothelial markers (CD31, CD105, and VE-cadherin). CD14+/KDR+, but not CD14+/KDR- cells, stimulated the organization of human microvascular endothelial cells into capillary-like structures on Matrigel both in vitro and in vivo. The combination of G-CSF and GM-CSF induced a CD14+/KDR+ cell population with potential pro-angiogenic properties
Prospettive e difficoltà della terapia cellulare in Cardiologia: Analisi critica delle sperimentazioni in corso
No full textBackground. Cardiac cell therapy is still restricted to experimental studies and clinical trials. This investigation is an analytic overview of worldwide ongoing trials and is aimed to show useful findings for planning new clinical trials. Methods. Based on the online searching engine of the National Library of Medicine database for clinical trials (www.clinicaltrials.gov), all the ongoing studies registered were analyzed and classified. Results. On May 30, 2009, 95 studies were registered worldwide: 40 of these were conducted in Europe and 4 in Italy. Phase 1, 2, 3 and 4 studies were 28%, 57%, 14% and 1%, respectively; observational and randomized studies were 22% and 78%, respectively. The clinical setting of enrolled patients was acute coronary syndrome in 43 studies (46%), heart failure in 29 studies (30%), chronic heart disease in 23 studies (24%). The treatment strategies investigated are cytokine-induced cell mobilization in 8% and cell implantation in 92%. The cell types used for direct implantation are mononuclear cells in 81%, endothelial precursor cells CD34+ in 11%, endothelial precursor cells CD133 + in 5%, myoblasts in 2% and adipoblasts in 1% of cases. Conclusions. The present snapshot of worldwide ongoing clinical trials provides useful information for planning an experimental clinical program on cardiac cell therapy
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Cell Therapy for Refractory Angina: A Reappraisal
No full textCardiac cell-based therapy has emerged as a novel therapeutic option for patients dealing with untreatable refractory angina (RA). However, after more than a decade of controlled studies, no definitive consensus has been reached regarding clinical efficacy. Although positive results in terms of surrogate endpoints have been suggested by early and phase II clinical studies as well as by meta-analyses, the more recent reports lacked the provision of definitive response in terms of hard clinical endpoints. Regrettably, pivotal trials designed to conclusively determine the efficacy of cell-based therapeutics in such a challenging clinical condition are therefore still missing. Considering this, a comprehensive reappraisal of cardiac cell-based therapy role in RA seems warranted and timely, since a number of crucial cell- and patient-related aspects need to be systematically analysed. As an example, the large variability in efficacy endpoint selection appears to be a limiting factor for the advancement of cardiac cell-based therapy in the field. This review will provide an overview of the key elements that may have influenced the results of cell-based trials in the context of RA, focusing in particular on the understanding at which the extent of angina-related endpoints may predict cell-based therapeutic efficacy
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Edward P. Wimberly, ITC, July 2011
No full textThis video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer
Author Rights and Scholarly Publishing
No full textOriginally posted at
http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p
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