Impaired fibroblast growth factor receptor (FGFR) signaling is associated with many human conditions, including growth disorders, degenerative diseases, and cancer. Current FGFR therapeutics are based on chemical inhibitors of FGFR tyrosine kinase activity (TKIs). However, FGFR TKIs are limited in their target specificity as they generally inhibit all FGFRs and other receptor tyrosine kinases. In the search for specific inhibitors of human FGFR1, we identified VZ23, a DNA aptamer that binds to FGFR1b and FGFR1c with a KD of 55 nM and 162 nM, respectively, but not to the other FGFR variants (FGFR2b, FGFR2c, FGFR3b, FGFR3c, FGFR4). In cells, VZ23 inhibited the activation of downstream FGFR1 signaling and FGFR1-mediated regulation of cellular senescence, proliferation, and extracellular matrix homeostasis. Consistent with the specificity toward FGFR1 observed in vitro, VZ23 did not inhibit FGFR2-4 signaling in cells. We show that the VZ23 inhibits FGFR1 signaling in the presence of cognate fibroblast growth factor (FGF) ligands and its inhibitory activity is linked to its capacity to form unusual G-quadruplex structure. Our data suggest that targeting FGFR1 with DNA aptamers could be an effective alternative to TKIs for treating impaired FGFR1 signaling in human craniosynostoses.
- Publikační typ
- časopisecké články MeSH
302 stran : grafy, tabulky ; 23 cm
BACKGROUND: Psychotherapy outcomes are typically measured in terms of symptom relief. However, this method might overlook important changes from clients' perspectives when they are asked to report on them. A more client-centred approach might bring a deeper understanding of psychotherapy outcomes. We aimed to evaluate the outcomes identified by clients within qualitative psychotherapy research. METHODS: The PsycArticles, PsycInfo, and MEDLINE Complete databases were searched for English language studies published until Nov 11, 2023. Additional studies were identified through references in the primary studies and previous meta-analyses or systematic reviews. Search terms were related to psychotherapy and counselling, clients' or patients' experiences, psychotherapy outcomes and changes, post-treatment perspectives, and types of qualitative methods. Qualitative studies on client-identified outcomes of individual psychotherapy were included. Findings related to clients' perceptions of psychotherapy outcomes were extracted (by ML and checked by TR and LT) and analysed (by all authors) using the descriptive-interpretative meta-analytic approach. All authors have personally experienced psychotherapy as clients. This study was pre-registered with PROSPERO (CRD42021277330). FINDINGS: We included 177 studies in the qualitative meta-analysis, from 24 countries, including descriptions from 2908 clients. Most of the studies were of good quality; they covered a wide range of therapeutic approaches and diagnoses. The descriptions of psychotherapy outcomes were classified into 60 meta-categories and grouped into ten clusters. These clusters related to clients' relational and social functioning; their emotional functioning; self-awareness, self-understanding, and more adaptive cognitive processing; behavioural functioning; developing their own resources; clients' attitudes towards themselves; generally embracing life; symptom and problem change; and more general wellbeing. The tenth cluster was outcomes that could not be clearly attributed to psychotherapy, which was considered outside the scope of this study. INTERPRETATION: The meta-analysis showed that clients value outcome dimensions beyond symptom reduction, such as deeper self-understanding, enhanced self-agency, and greater social engagement. By examining psychotherapy outcomes across various diagnoses and therapeutic approaches, we highlight limitations in traditional outcome measures, showing the need for more comprehensive, client-centred assessment tools and the value of incorporating qualitative methods into understanding dimensions of change. FUNDING: European Union.
- MeSH
- duševní poruchy terapie psychologie MeSH
- kvalitativní výzkum MeSH
- lidé MeSH
- psychoterapie * metody MeSH
- výsledek terapie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
- práce podpořená grantem MeSH
Microbial transglutaminase (MTG) is an enzyme widely used in the food industry because it creates cross-links between proteins, enhancing the texture and stability of food products. Its unique properties make it a valuable tool for modifying the functional characteristics of proteins, significantly impacting the quality and innovation of food products. In this study, response surface methodology was employed to optimize the fermentation conditions for microbial transglutaminase production by the strain Streptoverticillium cinnamoneum KKP 1658. The effects of nitrogen dose, cultivation time, and initial pH on the activity of the produced transglutaminase were investigated. The significance of the examined factors was determined as follows: cultivation time > nitrogen dose > pH. The interaction between nitrogen dose and cultivation time was found to be crucial, having the second most significant impact on transglutaminase activity. Optimal conditions were identified as 48 h of cultivation with a 2% nitrogen source dose and an initial medium pH of approximately 6.0. Under these conditions, transglutaminase activity ranged from 4.5 to 5.5 U/mL. The results of this study demonstrated that response surface methodology is a promising approach for optimizing microbial transglutaminase production. Future applications of transglutaminase include the development of modern food products with improved texture and nutritional value, as well as its potential use in regenerative medicine for creating biomaterials and tissue scaffolds. This topic is particularly important and timely as it addresses the growing demand for innovative and sustainable solutions in the food and biomedical industries, contributing to an improved quality of life.
BACKGROUND: Skeletal muscle alterations are associated with higher mortality and morbidity in patients with liver cirrhosis. Assessing these changes seems to be a promising method for identifying patients at a high risk of poor outcomes following liver transplantation (LT). This is particularly important given the current global shortage of organ donors. However, evidence of the impact of these alterations on the prognosis of patients undergoing LT is inconclusive. The aim of our prospective study was to evaluate the impact of skeletal muscle changes, reflected in sarcopenia, myosteatosis and metabolic changes in the calf muscles, on perioperative outcomes and long-term survival after LT. We also sought to determine the posttransplant evolution of the resting muscle metabolism. METHODS: We examined 134 adult LT candidates. Of these, 105 underwent LT. Sarcopenia and myosteatosis were diagnosed by measuring the skeletal muscle index and mean psoas muscle radiation attenuation, respectively, which were obtained from computed tomography (CT) scans taken during pretransplant assessment. Additionally, patients underwent 31P MR spectroscopy (MRS) of the calf muscles at rest before LT and 6, 12 and 24 months thereafter. The median follow-up was 6 years. RESULTS: Patients with abnormal 31P MRS results and CT-diagnosed myosteatosis prior to LT had significantly worse long-term survival after LT (hazard ratio (HR), 3.36; 95% confidence interval (CI), 1.48-7.60; p = 0.0021 and HR, 2.58; 95% CI, 1.06-6.29; p = 0.03, respectively). Multivariable analysis showed that abnormal 31P MR spectra (HR, 3.40; 95% CI, 1.50-7.71; p = 0.003) were a better predictor of worse long-term survival after LT than myosteatosis (HR, 2.78; 95% CI, 1.14-6.78; p = 0.025). Patients with abnormal 31P MR spectra had higher blood loss during LT (p = 0.038), required a higher number of red blood cell transfusions (p = 0.006) and stayed longer in ICU (p = 0.041) and hospital (p = 0.007). Myosteatosis was associated with more revision surgeries following LT (p = 0.038) and a higher number of received red blood cell transfusion units (p = 0.002). Sarcopenia had no significant effect on posttransplant patient survival. An improvement in the resting metabolism of the calf muscles was observed at 12 and 24 months after LT. CONCLUSIONS: Abnormal 31P MRS results of calf muscles were superior to CT-based diagnosis of myosteatosis and sarcopenia in predicting perioperative complications and long-term survival after LT. Resting muscle metabolism normalized 1 year after LT in most recipients.
- MeSH
- dospělí MeSH
- kosterní svaly * diagnostické zobrazování metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- magnetická rezonanční spektroskopie * metody MeSH
- počítačová rentgenová tomografie * metody MeSH
- prognóza MeSH
- prospektivní studie MeSH
- sarkopenie etiologie metabolismus MeSH
- senioři MeSH
- transplantace jater * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
INTRODUCTION: This study was performed to compare the efficacy and safety of PreserFlo MicroShunt (PMS) implantation with mitomycin C (MMC) applied by sub-tenon injection versus conventional application by MMC-soaked sponges. METHODS: This retrospective, 1-year cohort study included 100 eyes of 100 patients with glaucoma who underwent PMS implantation with MMC (0.4 mg/ml) delivered either by sub-tenon injection (50 eyes) or via soaked sponges (50 eyes). The primary outcome measure at 1 year was intraocular pressure (IOP) reduction, with complete success defined as an IOP reduction of ≥ 20% and achieving a target IOP of ≤ 21 or 18 mmHg without the use of medication. Secondary outcomes, including corneal endothelial cell density (CECD) loss, the number of medications, and complications, were assessed and compared between the groups. RESULTS: Sustained reductions in mean IOP were observed in both groups over the 1-year follow-up, with no significant differences between the groups. The complete success rate, with a target IOP of ≤ 21 mmHg after 1 year, was 19.3% in the sponge group and 26.4% in the injection group. The qualified success rate was 59.0% and 87.4% in the sponge and injection groups, respectively. A longer survival rate was observed in the injection group than in the sponge group when IOP was below 21 mmHg. The mean CECD significantly decreased (P < 0.01) from baseline to each postoperative follow-up time point in both groups. At 1 year postoperatively, the percentage of total CECD loss was 8.1% in the sponge group and 8.0% in the injection group. However, no significant differences in mean CECD values, the number of medications, or adverse events were found between the groups. CONCLUSIONS: PMS implantation with sub-tenon injection of MMC was comparable in terms of efficacy and safety to traditional MMC delivery via soaked sponges. However, the injection group demonstrated a significantly higher success rate than the sponge group.
- Publikační typ
- časopisecké články MeSH
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
- bílá hmota patologie diagnostické zobrazování MeSH
- dospělí MeSH
- hepatolentikulární degenerace * patologie diagnostické zobrazování MeSH
- játra patologie diagnostické zobrazování MeSH
- lidé středního věku MeSH
- lidé MeSH
- magnetická rezonanční tomografie * MeSH
- mladý dospělý MeSH
- mozek * patologie diagnostické zobrazování MeSH
- šedá hmota patologie diagnostické zobrazování MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Necrotizing enterocolitis (NEC) is one of the most devastating intestinal diseases observed in preterm in the first days of life. Researchers have recently focused on potential predictive biomarkers for early and concomitant diagnoses. Thus, we inquired about the linkage of intestinal dysbiosis, one of the most important factors in NEC development to the gut microbiota. In this study, the systematic differences in the bacterial composition between neonates affected by NEC and healthy newborns were highlighted by metagenomic analysis. The next-generation sequencing of the V3-V4 variable region of the 16S rRNA gene and gene-specific qPCR analyzed the untargeted gut microbiota. Total bacteria, total and fecal coliform loads in stool samples with NEC were higher than control. OTU-level relative abundances of NEC infant was characterized by Firmicutes and Bacteroidetes at phylum levels. At the genus level, NEC stool was identified by the lack of Klebsiella and the presence of Roseburia, Blautia, and Parasutterella. Finally, Clostridium fessum was the predominant species of Clostridium genus in disease and healthy specimens at the species level, whereas Clostridium jeddahitimonense was at NEC diagnosis. Despite a strong relationship between pathophysiology and characterization of gut microbiota at a clinical diagnosis of NEC, our results emphasize the broad difficulty in identifying potential biomarkers.
- MeSH
- Bacteria * klasifikace genetika izolace a purifikace MeSH
- DNA bakterií genetika MeSH
- dysbióza mikrobiologie MeSH
- feces * mikrobiologie MeSH
- lidé MeSH
- metagenomika MeSH
- nekrotizující enterokolitida * mikrobiologie MeSH
- novorozenec nedonošený MeSH
- novorozenec MeSH
- RNA ribozomální 16S * genetika MeSH
- střevní mikroflóra * MeSH
- vysoce účinné nukleotidové sekvenování MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
INTRODUCTION: The histopathological classification for antineutrophil cytoplasmic autoantibody (ANCA)-associated glomerulonephritis (ANCA-GN) is a well-established tool to reflect the variety of patterns and severity of lesions that can occur in kidney biopsies. It was demonstrated previously that deep learning (DL) approaches can aid in identifying histopathological classes of kidney diseases; for example, of diabetic kidney disease. These models can potentially be used as decision support tools for kidney pathologists. Although they reach high prediction accuracies, their "black box" structure makes them nontransparent. Explainable (X) artificial intelligence (AI) techniques can be used to make the AI model decisions accessible for human experts. We have developed a DL-based model, which detects and classifies the glomerular lesions according to the Berden classification. METHODS: Kidney biopsy slides of 80 patients with ANCA-GN from 3 European centers, who underwent a diagnostic kidney biopsy between 1991 and 2011, were included. We also investigated the explainability of our model using Gradient-weighted Class Activation Mapping (Grad-CAM) heatmaps. These maps were analyzed by pathologists to compare the decision-making criteria of humans and the DL model and assess the impact of different training settings. RESULTS: The DL model shows a prediction accuracy of 93% for classifying lesions. The heatmaps from our trained DL models showed that the most predictive areas in the image correlated well with the areas deemed to be important by the pathologist. CONCLUSION: We present the first DL-based computational pipeline for classifying ANCA-GN kidney biopsies as per the Berden classification. XAI techniques helped us to make the decision-making criteria of the DL accessible for renal pathologists, potentially improving clinical decision-making.
- Publikační typ
- časopisecké články MeSH
