Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of differently stained sections (image registration) and identification of individual fibres through the series as well as (ii) muscle fibre classification and (iii) quantitative analysis. The data output of the system is the following: numerical and areal proportions of fibre types, fibre type size and optical density (grey level) of the final reaction product in every fibre. The muscle fibre type can be determined stepwise, based on one set of stained sections while further, newly stained sections can be added to the already defined muscle fibre profile. Several advantages of the presented software application in skeletal muscle research are presented. The system is semiquantitative, flexible, and user friendly.
Fabry disease is a rare X-linked lysosomal disorder. Alpha-galactosidase A deficiency caused by mutation leads to accumulation of glycosphingolipids predominantly in endothelial cells, leading to impairment of vascular wall morphology and function. We assessed vascular wall hypertrophy (carotid artery intima-media thickness, cIMT), endothelial function (brachial artery flow-mediated dilation, FMD), presence of atherosclerotic plaques in the carotid and femoral arteries, and levels of endothelial adhesion and inflammatory biomarkers in 33 Fabry patients compared with 66 healthy matched controls. Fabry patients had thicker cIMT (0.07 ± 0.02 vs 0.06 ± 0.02 cm; P = .021), as well as dilated common carotid arteries (0.80 ± 0.12 vs 0.70 ± 0.06 cm; P < .001), and aortic annulus than controls (3.07 ± 0.48 vs 2.7 ± 0.48 cm; P = .001). Flow-mediated dilation was reduced (4.48 ± 8.80 vs 10.67 ± 8.72%; P = .001) and atherosclerotic plaques were less present in Fabry patients (9.10% vs 43.94%; P < .001). Vascular cell adhesion molecule-1, interleukin-6, tumor necrosis factor α, and high-sensitivity CRP were significantly higher and E-selectin lower in Fabry patients. Our results suggest that a complex vascular phenotype is present in Fabry patients. This represents a challenge for further research that could have important clinical applications.
<b><i>Introduction:</i></b> The lifespan of patients with Fabry disease (FD) is shorter than that seen in the general population. Leukocyte telomere length (LTL) and telomerase activity (TA) are potential markers of biologic aging. The aim of the current study was to determine the LTL and TA in FD patients and to assess the correlation between LTL and TA and renal involvement. <b><i>Methods:</i></b> We included 33 FD patients and 66 healthy matched controls. LTL and TA were measured using a quantitative PCR assay and gene expression assay. FD patients were stratified by renal function (estimated glomerular filtration rate [eGFR] higher or lower than 60 mL/min/1.73 m<sup>2</sup>) and proteinuria (urine protein creatinine ratio higher or lower than 0.5 g/g). <b><i>Results:</i></b> LTL was significantly shorter (0.69 vs. 0.73, <i>p</i> = 0.015) and TA significantly higher (1.55 vs. 1.19, <i>p</i> = 0.047) in FD patients compared to controls. Males with FD had significantly shorter LTL (<i>p</i> = 0.020) and lower, but non-significant, TA compared to male controls (<i>p</i> = 0.333). Female FD patients had similar LTL (<i>p</i> = 0.285) but significantly higher TA compared to female controls (<i>p</i> = 0.005). LTL was not influenced by eGFR, but TA was significantly lower in the low eGFR group (<i>p</i> = 0.003). <b><i>Conclusions:</i></b> FD patients have significantly shorter LTL, but significantly higher TA compared to healthy controls. Increased TA activity in FD patients could be the compensation mechanism to prevent LTL decrease (and accelerated ageing), which seems to be exhausted at the advanced stage of renal disease.
Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of differently stained sections (image registration) and identification of individual fibres through the series as well as (ii) muscle fibre classification and (iii) quantitative analysis. The data output of the system is the following: numerical and areal proportions of fibre types, fibre type size and optical density (grey level) of the final reaction product in every fibre. The muscle fibre type can be determined stepwise, based on one set of stained sections while further, newly stained sections can be added to the already defined muscle fibre profile. Several advantages of the presented software application in skeletal muscle research are presented. The system is semiquantitative, flexible, and user friendly.
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