1,721,138 research outputs found
Transcription factor Runx2 is induced in vascular aging and may promote age-related arterial stiffness
No full textTranscription factor Runx2 is induced in vascular aging and may promote age-related arterial stiffness
No full textMicroRNA miR-29b is a mediator of aortic stiffness and hypertension in a murine model of diabetes mellitus type 2
No full textMicroRNA miR-29b is a mediator of aortic stiffness and hypertension in a murine model of diabetes mellitus type 2
No full textUnresolved Issues in RNA Therapeutics in Vascular Diseases With a Focus on Aneurysm Disease
No full textNew technologies have greatly shaped the scientific and medical landscape within the last years. The unprecedented expansion of data and information on RNA biology has led to the discovery of new RNA classes with unique functions and unexpected modifications. Today, the biggest challenge is to transfer the large number of findings in basic RNA biology into corresponding clinical RNA-based therapeutics. Lately, this research begins to yield positive outcomes. RNA drugs advance to the final phases of clinical trials or even receive FDA approval. Furthermore, the introduction of the RNA-guided gene-editing technology CRISPR and advances in the delivery of messenger RNAs have triggered a major progression in the field of RNA-therapeutics. Especially short interfering RNAs and antisense oligonucleotides are promising examples for novel categories of therapeutics. However, several issues need to be addressed including intracellular delivery, toxicity, and immune responses before utilizing RNAs in a clinical setting. In this review, we provide an overview on opportunities and challenges for clinical translation of RNA-based therapeutics, with an emphasis on advances in novel delivery technologies and abdominal aortic aneurysm disease where non-coding RNAs have been shown to play a crucial regulatory role
NON-CODING RNAS COMPREHENSIVELY COUNTERACT ADVERSE ARTERIAL REMODELING AND STIFFENING IN TYPE 2 DIABETES
No full textMeasurement of insulin-mediated glucose uptake: Direct comparison of the modified insulin suppression test and the euglycemic, hyperinsulinemic clamp
No full textBackground: Two direct measurements of peripheral insulin sensitivity are the M value derived from the euglycemic, hyperinsulinemic clamp (EC) and the steady-state plasma glucose (SSPG) concentration derived from the insulin suppression test (IST). Prior work suggests that these measures are highly correlated, but the agreement between them is unknown. To determine the agreement between SSPG and M and to develop transformation equations to convert SSPG to M and vice versa, we directly compared these two measurements in the same individuals. Methods: A total of 15 nondiabetic subjects (9 women and 6 men) underwent both an EC and a modified version of the IST within a median interval of 5 days. We performed standard correlation metrics of the two measures and developed transformation regression equations for the two measures. Results: The mean ± SD age of the subjects was 57 ± 7 years and body mass index, 27.7 ± 3.9 kg/m2. The median (interquartile range) SSPG concentration was 6.7 (5.1, 9.8) mmol/L and M value, 49.6 (28.9, 64.2) μmol/min/kg-LBM. There was a highly significant correlation between SSPG and M (r = - 0.87, P < 0.001). The relationship was best fit by regression models with exponential/logarithmic functions (R2 = 0.85). Bland-Altman plots demonstrated an excellent agreement between these measures of insulin action. Conclusion: The SSPG and M are highly related measures of insulin sensitivity and the results provide the means to directly compare the two measurements. © 2013 Elsevier Inc
NON-CODING RNAS COMPREHENSIVELY COUNTERACT ADVERSE ARTERIAL REMODELING AND STIFFENING IN TYPE 2 DIABETES
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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