Wilson disease (WD) primarily presents with hepatic and neurological symptoms. While hepatic symptoms typically precede the neurological manifestations, copper accumulates in the brain already in this patient group and leads to subclinical brain MRI abnormalities including T2 hyperintensities and atrophy. This study aimed to assess brain morphological changes in mild hepatic WD. WD patients without a history of neurologic symptoms and decompensated cirrhosis and control participants underwent brain MRI at 3T scanner including high-resolution T1-weighted images. A volumetric evaluation was conducted on the following brain regions: nucleus accumbens, caudate, pallidum, putamen, thalamus, amygdala, hippocampus, midbrain, pons, cerebellar gray matter, white matter (WM), and superior peduncle, using Freesurfer v7 software. Whole-brain analyses using voxel- and surface-based morphometry were performed using SPM12. Statistical comparisons utilized a general linear model adjusted for total intracranial volume, age, and sex. Twenty-six WD patients with mild hepatic form (30 ± 9 years [mean age ± SD]); 11 women; mean treatment duration 13 ± 12 (range 0-42) years and 28 healthy controls (33 ± 9 years; 15 women) were evaluated. Volumetric analysis revealed a significantly smaller pons volume and a trend for smaller midbrain and cerebellar WM in WD patients compared to controls. Whole-brain analysis revealed regions of reduced volume in the pons, cerebellar, and lobar WM in the WD group. No significant differences in gray matter density or cortical thickness were found. Myelin or WM in general seems vulnerable to low-level copper toxicity, with WM volume loss showing promise as a marker for assessing brain involvement in early WD stages.
- MeSH
- White Matter pathology diagnostic imaging MeSH
- Adult MeSH
- Hepatolenticular Degeneration * pathology diagnostic imaging MeSH
- Liver pathology diagnostic imaging MeSH
- Middle Aged MeSH
- Humans MeSH
- Magnetic Resonance Imaging * MeSH
- Young Adult MeSH
- Brain * pathology diagnostic imaging MeSH
- Gray Matter pathology diagnostic imaging MeSH
- Case-Control Studies MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Precise localization of peripheral nerve injuries and evaluation of their prognosis based on clinical and electrodiagnostic examinations are particularly challenging in the acute phase. High-resolution ultrasound (HRUS) may offer a viable and cost-effective imaging option for assessing the morphology of nerve injuries. Consequently, a systematic review and meta-analysis of studies on the use of ultrasound for diagnosing traumatic nerve injuries were conducted. A total of 15 studies were included, reporting the most recent findings on using HRUS in the diagnosis of traumatic nerve injury. These studies assessed the diagnostic test accuracy of ultrasound for the detection of traumatic nerve injury in 272 participants, with the cross-sectional area at the site of traumatic nerve injury also reported in 1,249 participants. The pooled sensitivity and specificity of the included studies were 92% confidence interval (CI) (0.89-0.95) and 86% CI (0.82-0.89), respectively. The positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 13.76 CI (1.41-134.34), 0.08 CI (0.03-0.18), and 286.23 CI (21.22-3,860.40), respectively. In the summary of the receiver operating characteristic curve, the area under the curve was 0.986, and the Q* index was 0.949. Based on the current literature, HRUS has shown promising results in addition to its availability and feasibility. HRUS can serve as a valuable complement to clinical and electrodiagnostic examinations for diagnosing traumatic peripheral nerve injuries. Further research is recommended to better understand the ultrasound characteristics of these injuries.
- MeSH
- Humans MeSH
- Peripheral Nerve Injuries * diagnostic imaging diagnosis MeSH
- Ultrasonography * methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Meta-Analysis MeSH
- Review MeSH
- Systematic Review MeSH
Super-resolution (SR) microscopy is a cutting-edge method that can provide detailed structural information with high resolution. However, the thickness of the specimen has been a major limitation for SR methods, and large biological structures have posed a challenge. To overcome this, the key step is to optimise sample preparation to ensure optical homogeneity and clarity, which can enhance the capabilities of SR methods for the acquisition of thicker structures. Oocytes are the largest cells in the mammalian body and are crucial objects in reproductive biology. They are especially useful for studying membrane proteins. However, oocytes are extremely fragile and sensitive to mechanical manipulation and osmotic shocks, making sample preparation a critical and challenging step. We present an innovative, simple and sensitive approach to oocyte sample preparation for 3D STED acquisition. This involves alcohol dehydration and mounting into a high refractive index medium. This extended preparation procedure allowed us to successfully obtain a unique two-channel 3D STED SR image of an entire mouse oocyte. By optimising sample preparation, it is possible to overcome current limitations of SR methods and obtain high-resolution images of large biological structures, such as oocytes, in order to study fundamental biological processes. Lay Abstract: Super-resolution (SR) microscopy is a cutting-edge tool that allows scientists to view incredibly fine details in biological samples. However, it struggles with larger, thicker specimens, as they need to be optically clear and uniform for the best imaging results. In this study, we refined the sample preparation process to make it more suitable for SR microscopy. Our method includes carefully dehydrating biological samples with alcohol and then transferring them into a mounting medium that enhances optical clarity. This improved protocol enables high-resolution imaging of thick biological structures, which was previously challenging. By optimizing this preparation method, we hope to expand the use of SR microscopy for studying large biological samples, helping scientists better understand complex biological structures.
PURPOSE: Dual velocity encoding PC-MRI can produce spurious artifacts when using high ratios of velocity encoding values (VENCs), limiting its ability to generate high-quality images across a wide range of encoding velocities. This study aims to propose and compare dual-VENC correction methods for such artifacts. THEORY AND METHODS: Two denoising approaches based on spatiotemporal regularization are proposed and compared with a state-of-the-art method based on sign correction. Accuracy is assessed using simulated data from an aorta and brain aneurysm, as well as 8 two-dimensional (2D) PC-MRI ascending aorta datasets. Two temporal resolutions (30,60) ms and noise levels (9,12) dB are considered, with noise added to the complex magnetization. The error is evaluated with respect to the noise-free measurement in the synthetic case and to the unwrapped image without additional noise in the volunteer datasets. RESULTS: In all studied cases, the proposed methods are more accurate than the Sign Correction technique. Using simulated 2D+T data from the aorta (60 ms, 9 dB), the Dual-VENC (DV) error 0.82±0.07$$ 0.82\pm 0.07 $$ is reduced to: 0.66±0.04$$ 0.66\pm 0.04 $$ (Sign Correction); 0.34±0.04$$ 0.34\pm 0.04 $$ and 0.32±0.04$$ 0.32\pm 0.04 $$ (proposed techniques). The methods are found to be significantly different (p-value <0.05$$ <0.05 $$ ). Importantly, brain aneurysm data revealed that the Sign Correction method is not suitable, as it increases error when the flow is not unidirectional. All three methods improve the accuracy of in vivo data. CONCLUSION: The newly proposed methods outperform the Sign Correction method in improving dual-VENC PC-MRI images. Among them, the approach based on temporal differences has shown the highest accuracy.
- MeSH
- Algorithms * MeSH
- Aorta * diagnostic imaging MeSH
- Artifacts * MeSH
- Phantoms, Imaging MeSH
- Image Interpretation, Computer-Assisted methods MeSH
- Intracranial Aneurysm diagnostic imaging MeSH
- Humans MeSH
- Magnetic Resonance Imaging * methods MeSH
- Brain diagnostic imaging MeSH
- Computer Simulation MeSH
- Image Processing, Computer-Assisted * methods MeSH
- Signal-To-Noise Ratio * MeSH
- Reproducibility of Results MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Five cases of patients with systemic connective tissue diseases (CTD) who developed connective tissue disease-associated interstitial lung disease (CTD-ILD) with progressive pulmonary fibrosis (PPF) are reported here. Unspecified ILD was diagnosed using high-resolution computed tomography (HRCT). Histologically, all cases were usual interstitial pneumonia (UIP) with findings of advanced (3/5) to diffuse (2/5) fibrosis, with a partially (4/5) to completely (1/5) formed image of a honeycomb lung. The fibrosis itself spread subpleurally and periseptally to more central parts (2/5) of the lung, around the alveolar ducts (2/5), or even without predisposition (1/5). Simultaneously, there was architectural reconstruction based on the mutual fusion of fibrosis without compression of the surrounding lung parenchyma (1/5), or with its compression (4/5). The whole process was accompanied by multifocal (1/5), dispersed (2/5), or organized inflammation in aggregates and lymphoid follicles (2/5). As a result of continuous fibroproduction and maturation of the connective tissue, the alveolar septa thickened, delimiting groups of alveoli that merged into air bullae. Few indistinctly visible (2/5), few clearly visible (1/5), multiple indistinctly visible (1/5), and multiple clearly visible (1/5) fibroblastic foci were present. Among the concomitant changes, areas of emphysema, bronchioloectasia, and bronchiectasis, as well as bronchial and vessel wall hypertrophy, and mucostasis in the alveoli and edema were observed. The differences in the histological appearance of usual interstitial pneumonia associated with systemic connective tissue diseases (CTD-UIP) versus the pattern associated with idiopathic pulmonary fibrosis (IPF-UIP) are discussed here. The main differences lie in spreading lung fibrosis, architectural lung remodeling, fibroblastic foci, and inflammatory infiltrates.
- MeSH
- Adult MeSH
- Idiopathic Pulmonary Fibrosis pathology complications MeSH
- Lung Diseases, Interstitial * pathology complications MeSH
- Middle Aged MeSH
- Humans MeSH
- Connective Tissue Diseases * pathology complications MeSH
- Lung pathology diagnostic imaging MeSH
- Tomography, X-Ray Computed MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Case Reports MeSH
Hemofilie A je vrozené krvácivé onemocnění, které bývá často komplikované krvácením do kloubů a rozvojem různě závažných kloubních změn. V případě hypetrofické synovitidy je důraz kladen na konzervativní možnosti jejího vstřebání. K tomu je zapotřebí dlouhodobě navýšit minimální hladinu koagulačního faktoru VIII (FVIII) tak, aby se zabránilo i možným mikrokrvácením, které k rozvoji synovitidy zásadně přispívají. Nový rekombinantní koaguiační faktor VIII, efanesoctocog α, umožňuje zcela revolučním způsobem navýšit hladinu tak, že šance na vstřebání synovitidy bez invazivního výkonu jsou velmi vysoké.
Haemophilia A is a congenital bleeding disorder that is often complicated by bleeding into the joints and the development of joint changes. In the case of hypetrophic synovitis, the focus is on conservative treatment options for its resolution. This approach requires to increase concentration of coagulation factor VIII (FVIII) trough levels for longer period of time in order to prevent every possible microbleeds, which contribute significantly to the development of synovitis. The new recombinant factor VIII, efanesoctocog α, allows levels to be raised in a completely revolutionary way, so during such a treatment the chances of full resolution of synovitis without invasive approaches are very high.
Breast milk, as the optimal food for infants and young children, contains all the components necessary for proper growth and development. It is a rich source of both essential nutrients and biologically active factors, making breast milk a unique food with scientifically proven health-promoting properties. Among the entire range of biologically active factors, breast milk microorganisms and prebiotic factors, in the form of breast milk oligosaccharides, occupy an important place. The aim of our research was to determine the occurrence of bacteria with probiotic potential, belonging to the Lactobacillaceae family, in the environment of breast milk and breast milk oligosaccharides. The study included 63 human milk samples from breastfeeding women at various stages of lactation. Microorganism identification based on culture tests and MALDI TOF/MS, macronutrient analysis using the MIRIS human milk analyser, as well as analysis of human milk oligosaccharides using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry were performed. The results have shown that breast milk from different breastfeeding women is characterized by great diversity in terms of the presence of Lacto-bacillaceae bacteria in its microbiological composition. These bacteria were present in 22.2 % of the tested breast milk samples. Analysis of the human milk oligosaccharide profile revealed a slightly higher content of prebiotic factors in breast milk samples containing Lactobacillaceae, including 2'-fucosyllactose, oligosaccharide occurring in the highest amount in breast milk.
Multidimensional chromatography coupled to tandem mass spectrometry (MS/MS), including simple sample preparation with protein precipitation, anion conversion with ammonium hydroxide, and solid-phase extraction using mixed-mode anion exchange in a 96-well plate format, has been validated for rapid simultaneous analysis of human insulin and its six analogs (lispro, glulisine, glargine, degludec, detemir, and aspart) in human plasma. This method is critical for clinical diagnostics, forensic investigations, and anti-doping efforts due to the widespread use of these substances. In the present study, improved chromatographic resolution was achieved using a first-dimension trap-and-elute configuration with an XBridge C18 (2.1 × 20 mm, 3.5 μm) trap column combined with second dimension separation on a Cortecs Ultra-High-Performance Liquid Chromatography (UHPLC) C18+ (2.1 × 100 mm, 1.6 μm) analytical column implemented within a two-dimensional-LC-MS/MS system. The total chromatographic run time was 11 min. This setup increases both the resolution and sensitivity of the method. A mobile phase consisting of 0.8% formic acid (FA) in water and 0.7% FA in acetonitrile was used for gradient elution. Bovine insulin was used as the internal standard. MS detection was performed in positive electrospray ionization mode, and the ion suppression due to matrix effects was evaluated. Validation criteria included linearity, precision, accuracy, recovery, lower limit of quantitation, matrix effect, and stability tests with and without protease inhibitor cocktail under different conditions (short-term stability, long-term stability, and freeze-thaw stability). The concentration range for all insulins was 50-15 000 pg/mL, with limits of quantification below the therapeutic reference range for all analytes. Intra-run precision ranged from 1.1% to 5.7%, inter-run precision from 0.7% to 5.9%, and overall recovery from 96.9% to 114.3%. The validated method has been implemented successfully by the Department of Forensic Medicine at our hospital for the investigation of unexplained deaths.
Rentgenová výpočetní mikrotomografie (mikroCT) představuje moderní zobrazovací technologii s vysokým rozlišením umožňující detailní analýzu zobrazovaného vzorku. Nabízí jedinečný pohled na trojrozměrnou architekturu díky rozlišení na pomezí makroskopického a histologického zobrazení. V oblasti anatomické patologie mikroCT nachází uplatnění zejména při morfometrické analýze nádorů, hodnocení resekčních okrajů chirurgických vzorků či detekci metastáz v lymfatických uzlinách. Kombinace mikroCT s tradičními histopatologickými technikami a s využitím digitální 3D rekonstrukce otevírá nové možnosti při analýze komplexních patologických procesů. Přestože je tato metoda zatím převážně využívána ve výzkumu, její klinický potenciál je značný. Mezi hlavní přednosti patří neinvazivní zobrazení a možnost integrace s digitální patologií a nástroji umělé inteligence. Hlavními limitacemi v současné době zůstávají potřeba kontrastování vzorků, monochromatická povaha obrazu a vysoká radiační zátěž. Pokrok v technologickém vývoji však může tyto překážky překonat a umožnit širší využití mikroCT v rutinní klinické diagnostice. Tento článek představuje technologii mikroCT a její diagnostický potenciál v patologii, přibližuje její aplikace, výhody a omezení, a nabízí vhled do budoucí perspektivy jejího využití.
X-ray microtomography (microCT) represents a modern high-resolution imaging technology enabling detailed analysis of the tissue. It offers a unique perspective on three-dimensional architecture, bridging the gap between macroscopic and histological imaging. In anatomical pathology, microCT is particularly utilized for morphometric tumor analysis, evaluation of surgical specimen resection margins, and detection of metastases in lymph nodes. The combination of microCT with traditional histopathological techniques, and with digital 3D reconstructions, opens new avenues for analyzing complex pathological processes. Although this method is currently used in research, its clinical potential is significant. Key advantages include non-invasive imaging and the ability to be integrated with digital pathology and artificial intelligence tools. Current limitations include the need for sample contrast enhancement, the monochromatic nature of the images, and high radiation exposure. Advances in technological development, however, may overcome these barriers and enable the broader adoption of microCT in routine clinical diagnostics. This article explores the diagnostic potential of microCT in pathology, highlighting its applications, advantages, and limitations, while offering insights into current capabilities and future perspectives of this technology.
The collection on Methods and Models in Mammary Gland Biology and Breast Cancer Research showcases recent advances in tools and models that enhance our understanding of mammary gland development and breast cancer. This collection includes sixteen articles, collectively addressing approaches to investigate key aspects of mammary gland biology and tumorigenesis, including hormonal signaling, tissue architecture, tumor microenvironment, and species-specific mammary development. The issue highlights innovations such as optimized progesterone receptor reporters, improved menopause models, and 3D-printed mammary epithelial structures. It also features advancements in organoid-based studies, in situ labeling of epithelial proliferation in large animals, preclinical models for breast cancer prevention, and high-resolution imaging techniques. Methodologies for studying macrophage-cancer cell interactions and lysosomal function are provided as step-by-step protocols. Additionally, review articles provide insights into diverse mammalian organoid systems, rat mammary tumor models, and strategies for modeling breast cancer metastasis. Together, these contributions advance mammary gland research by refining experimental approaches, expanding model diversity, and fostering translational applications in breast cancer.
- MeSH
- Humans MeSH
- Mammary Glands, Human * pathology growth & development physiology MeSH
- Mammary Glands, Animal * pathology growth & development physiology MeSH
- Disease Models, Animal MeSH
- Tumor Microenvironment physiology MeSH
- Breast Neoplasms * pathology MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Animals MeSH
- Publication type
- Introductory Journal Article MeSH
- Editorial MeSH
