An accurate characterisation of muscle fibres is essential for studying muscle plasticity. During some transient events such as ageing, myogenesis, physical activity or conversion of muscle to meat, the morphological parameters and/or the fibre type distribution may change. Nowadays, this information is generally obtained using immunohistology techniques, but these analyses are acknowledged to be laborious and time-consuming. In fact, each myofibre, from thousands, must be measured individually and its expression profile in response to different anti-myosin antibodies must be established step by step. In this paper, we describe a new histological approach using double-labelling (laminin, myosin) serial sections, fluorescence microscopy visualisation and, finally, semi-automatic image analysis. The goal of the study was to propose a tool allowing faster fibre type characterisation, including the identification of hybrid fibres from pure ones. The steps in the image processing prone to subjectivity have been fully automated. On the other hand, the expert retained control of all image analysis procedures requiring visual diagnosis. The tool that we developed with the Visilog software allowed a rapid and objective fibre typing and morphometric characterisation of two different bovine muscles. The results were in agreement with our previous histological and densitometric assays. The method and the tool proved to be potentially more efficient than other techniques used in our institute or described in the literature. A more global evaluation will be considered in other laboratories as well as on other animal species.
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http://dx.doi.org/10.1007/s00418-010-0733-7 | DOI Listing |
Several studies suggested that total hip arthroplasty (THA) was more technical demanding following previous pelvic osteotomy (PO), resulting in poor outcomes compared with primary THA. However, the other studies regarding this topic had reported contradictory results. Therefore, we conducted this meta-analysis to compare the clinical results and other parameters between total hip arthroplasty following pelvic osteotomy and primary total hip arthroplasty.
View Article and Find Full Text PDFDalton Trans
January 2025
Department of Chemistry, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
-β, β-β' trifused porphyrins incorporating two distinct active methylene groups (MN = malononitrile and IND = 1,3-indanedione) and their corresponding metal complexes with Cu(II) and Zn(II) have been synthesized with good to excellent yields and characterized by various spectroscopic techniques and spectrometric methods. Single crystal X-ray analysis of the Zn(II) complex ZnTFPMB(MN) (where TFP = trifused porphyrin and MB = mono benzo) revealed a nonplanar 'armchair' type conformation with a twist angle of 24.10°.
View Article and Find Full Text PDFColomb Med (Cali)
January 2025
Karabuk University Faculty of Medicine, Department of Cardiology, Karabuk, Turkey Karabük University Karabuk University Faculty of Medicine Department of Cardiology Karabuk Turkey.
Background: The association of fragmented QRS (fQRS) with many cardiac pathologies such as cardiac fibrosis has been described previously. Paraaortic adipose tissue (PAT) is thought to be associated with many cardiac diseases and there is only one publication on its echocardiographic evaluation.
Aims: To describe the possible relationship between fQRS and PAT.
Arch Bone Jt Surg
January 2024
Scientific Advisory Board, Hospital Británico de Buenos Aires, Buenos Aires, Argentina.
Objectives: Investigate the immediate resonance magnetic image changes undergone by the lumbar canal after indirect decompression and compare them at one-year post-intervention. We also investigate the clinical outcome of indirect decompression at one-year follow-up.
Methods: Imaging changes in patients who underwent indirect lumbar decompression and percutaneous posterior fixation were analyzed with one-year follow-up.
Front Immunol
January 2025
Department of Surgery, Stanford School of Medicine, Stanford University Medical Center, Stanford, CA, United States.
Molecular characterization of tumors is essential to identify predictive biomarkers that inform treatment decisions and improve precision immunotherapy development and administration. However, challenges such as the heterogeneity of tumors and patient responses, limited efficacy of current biomarkers, and the predominant reliance on single-omics data, have hindered advances in accurately predicting treatment outcomes. Standard therapy generally applies a "one size fits all" approach, which not only provides ineffective or limited responses, but also an increased risk of off-target toxicities and acceleration of resistance mechanisms or adverse effects.
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