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Foodborne diseases triggered by various infectious micro-organisms are contributing significantly to the global disease burden as well as to increasing mortality rates. Salmonella enterica belongs to the most prevalent form of bacteria accountable for significant burden of foodborne illness across the globe. The conventional therapeutic approach to cater to Salmonella enterica-based infections relies on antibiotic therapy, but the rapid emergence of the antibiotic resistance strains of Salmonella sp. necessitates the development of alternative treatment and prevention strategies. In light of this growing concern, the scientific community is rigorously exploring novel phytochemicals harnessed from medicinally important plants as a promising approach to curb Salmonella enterica infections. A variety of phytochemicals belonging to alkaloids, phenols, flavonoid, and terpene classes are reported to exhibit their inhibitory activity against bacterial cell communication, membrane proteins, efflux pumps, and biofilm formation among drug resistant Salmonella strains. The present review article delves to discuss the emergence of antibiotic resistance among Salmonella enterica strains, various plant sources, identification of phytochemicals, and the current state of research on the use of phytochemicals as antimicrobial agents against Salmonella enterica, shedding light on the promising potential of phytochemicals in the fight against this pathogen.
- MeSH
- antibakteriální látky * farmakologie MeSH
- bakteriální léková rezistence MeSH
- fytonutrienty * farmakologie chemie MeSH
- lidé MeSH
- nemoci přenášené potravou mikrobiologie prevence a kontrola farmakoterapie MeSH
- Salmonella enterica * účinky léků MeSH
- salmonelóza * mikrobiologie farmakoterapie MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
INTRODUCTION: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) may be as high as 38% in the adult population with potential serious complications, multiple comorbidities and a high socioeconomic burden. However, there is a general lack of awareness and knowledge about MASLD and its progressive stages (metabolic dysfunction-associated steatohepatitis (MASH) and fibrosis). Therefore, MASLD is still far underdiagnosed. The 'Global Research Initiative for Patient Screening on MASH' (GRIPonMASH) consortium focuses on this unmet public health need. GRIPonMASH will help (primary) healthcare providers to implement a patient care pathway, as recommended by multiple scientific societies, to identify patients at risk of severe MASLD and to raise awareness. Furthermore, GRIPonMASH will contribute to a better understanding of the pathophysiology of MASLD and improved identification of diagnostic and prognostic markers to detect individuals at risk. METHODS: This is a prospective multicentre observational study in which 10 000 high-risk patients (type 2 diabetes mellitus, obesity, metabolic syndrome or hypertension) will be screened in 10 European countries using at least two non-invasive tests (Fibrosis-4 index and FibroScan). Blood samples and liver biopsy material will be collected and biobanked, and multiomics analyses will be conducted. ETHICS AND DISSEMINATION: The study will be conducted in compliance with this protocol and applicable national and international regulatory requirements. The study initiation package is submitted at the local level. The study protocol has been approved by local medical ethical committees in all 10 participating countries. Results will be made public and published in scientific, peer-reviewed, international journals and at international conferences. REGISTRATION DETAILS: NCT05651724, registration date: 15 Dec 2022.
- MeSH
- diabetes mellitus 2. typu komplikace MeSH
- jaterní cirhóza diagnóza MeSH
- lidé MeSH
- metabolický syndrom komplikace MeSH
- multicentrické studie jako téma MeSH
- nealkoholová steatóza jater * diagnóza MeSH
- plošný screening * metody MeSH
- prospektivní studie MeSH
- výzkumný projekt MeSH
- ztučnělá játra * diagnóza epidemiologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- protokol klinické studie MeSH
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.
Background: Stenotrophomonas infections are becoming more widespread around the world and can be counted as a "newly emerging pathogen of concern". The present study aimed to detect a variety of Stenotrophomonas species (S. maltophilia) using specific 23S rRNA gene primers and investigate their multi-drug resistance potential.Methods: This study includes 375 clinical samples from different clinical sources 175 from males and 200 from females collected from Mosul City Hospital. Identification of Stenotrophomonas was conducted through multiple steps including culturing methods, molecular methods in addition to some biochemical tests 11(3%) of isolates belonged to Stenotrophomonas maltophilia. The isolates understudy were tested for their ability to resist 10 different antibiotics using the Kirby-Bauer disk diffusion method.Results: The resistance rate to amoxicillin, gentamicin, and amikacin (100%), cefixime (91%), imipenem (64%), meropenem(55%), Azithromycin (36%), nalidixic acid and trimethoprim (18%), ciprofloxacin(0%). The virulence factors of S. maltophilia siderophores were found in all (11) isolates belonging to S. maltophilia at a percentage (100%). The result of PCR assay using specific primers designed for detecting 23S rRNA genes of S. maltophilia gives amplification for 11 isolates from 14 suspected isolates. Nucleic acid sequencing for the 23S rRNA gene shows that all isolates belong to S. maltophilia with a similarity rate (91-99) in NCBI.Because the 23S rRNA gene sequence in Stenotrophomonas species shows more variety in this location this study used specific 23S rRNA gene primers to identify S. maltophilia.Conclusion: The study used phenotypic and molecular diagnostic techniques to isolate the bacteria, including the S rRNA23 gene. The results emphasize the need for increased vigilance in hospitals to prevent the spread of antibiotic-resistant bacteria and the development of new treatment strategies.
- MeSH
- antibiotická rezistence genetika MeSH
- bakteriální léková rezistence genetika MeSH
- infekce spojené se zdravotní péčí genetika mikrobiologie MeSH
- klinická studie jako téma metody MeSH
- lidé MeSH
- mikrobiologické techniky metody MeSH
- polymerázová řetězová reakce metody MeSH
- RNA ribozomální 23S * analýza genetika MeSH
- siderofory analýza genetika MeSH
- Stenotrophomonas maltophilia * genetika patogenita MeSH
- Check Tag
- lidé MeSH
The visual evaluation of data derived from screening and optimization experiments in the development of new analytical methods poses a considerable time investment and introduces the risk of subjectivity. This study presents a novel approach to processing such data, based on factor analysis of mixed data and hierarchical clustering - multivariate techniques implemented in the R programming language. The methodology is demonstrated in the early-stage screening and optimization of the chromatographic separation of 15 structurally diverse drugs that affect the central nervous system, using a custom R Language script. The presented explorative approach enabled the identification of key parameters affecting the separation and significantly reduced the time required to evaluate the comprehensive dataset from the screening experiments. Based on the data analysis results, the optimal combination of stationary phase and mobile phase composition was selected, considering retention, overall resolution, and peak shape of compounds. Additionally, compounds vulnerable to changes in selected chromatographic conditions were identified. As a complement to the presented R Language script, a web-based application ChromaFAMDeX has been developed to offer an intuitive interface that enhances the accessibility of the used statistical methods. Accompanying the publication, the R script and the link to the standalone application are provided, enabling replication and adaptation of the methodology.
Fast Photochemical Oxidation of Proteins (FPOP) is a promising technique for studying protein structure and dynamics. The quality of insight provided by FPOP depends on the reliability of the determination of the modification site. This study investigates the performance of two search engines, Mascot and PEAKS, for the data processing of FPOP analyses. Comparison of Mascot and PEAKS of the hemoglobin--haptoglobin Bruker timsTOF data set (PXD021621) revealed greater consistency in the Mascot identification of modified peptides, with around 26% of the IDs being mutual for all three replicates, compared to approximately 22% for PEAKS. The intersection between Mascot and PEAKS results revealed a limited number (31%) of shared modified peptides. Principal Component Analysis (PCA) using the peptide-spectrum match (PSM) score, site probability, and peptide intensity was applied to evaluate the results, and the analyses revealed distinct clusters of modified peptides. Mascot showed the ability to assess confident site determination, even with lower PSM scores. However, high PSM scores from PEAKS did not guarantee a reliable determination of the modification site. Fragmentation coverage of the modification position played a crucial role in Mascot assignments, while the AScore localizations from PEAKS often become ambiguous because the software employs MS/MS merging.
Although the identification of animal species and muscles have been reported previously, no studies have been found on the use of NIR spectroscopy to identify individual animals from the analysis of commercial meat cuts. The aim of this study was to evaluate the use of a portable near infrared (NIR) instrument combined with classical chemometrics methods [principal component analysis (PCA) and partial least squares discriminant analysis PLS-DA)] to identify the origin of individual goat animals using the spectral signature of their commercial cut. Samples were collected from several carcasses (6 commercial cuts x 24 animals) sourced from a commercial abattoir in Queensland (Australia). The NIR spectra of the samples were collected using a portable NIR instrument in the wavelength range between 950 and 1600 nm. Overall, the PLS-DA models correctly classify 82% and 79% of the individual goat samples using either the goat rack or loin cut samples, respectively. The study demonstrated that NIR spectroscopy was able to identify individual goat animals based on the spectra properties of some of the commercial cut samples analysed (e.g. loin and rack). These results showed the potential of this technique to identify individual animals as an alternative to other laboratory methods and techniques commonly used in meat traceability.
- Publikační typ
- časopisecké články MeSH
OBJECTIVES: Patients are the most common source of violence against EMS personnel. This study aims at elucidating specific clinical features in patients with mental alteration and aggressive behaviour increasing risk of violence. MATERIAL AND METHODS: This consecutive cross-sectional retrospective study analysed consecutive patients treated for prespecified list of primary diagnoses by one EMS provider in the Czech Republic between 1 January 2021 and 31 December 2023. The effect of individual features of medical history and present symptoms on the occurrence of violence, need for the Police assistance and use of restraints was evaluated, using linear regression model. RESULTS: 410 patients were evaluated. Verbal and brachial violence was present in 21.5 and 12.9 %, respectively. Police assistance was needed in 48.3 %, restraints were used in 4.6 %. The most significant predictor for violence, need for Police or restraints was agitation (OR 7.02, CI 4.14 - 11.90; OR 2.60, CI 1.60 - 4.24, OR 11.02, CI 3.49 - 34.80 respectively). Other predictors of violence included history of acute psychotic attacks and psychotic disorders, or outpatient psychiatry care. Among other predictors for Police assistance was presence of delusions, paranoia and history of outpatient psychiatry care. CONCLUSION: Prehospital care for patients with mental status alteration and aggressive behaviour is complex. Some clinical features seem to increase the risk of violence. Future research in the evaluation of agitated and violent patients is warranted to find strategies of risk mitigation for EMS personnel.
- MeSH
- agrese * psychologie MeSH
- dospělí MeSH
- duševní poruchy epidemiologie terapie MeSH
- fyzické omezení statistika a číselné údaje MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- násilí statistika a číselné údaje psychologie MeSH
- policie MeSH
- průřezové studie MeSH
- retrospektivní studie MeSH
- senioři MeSH
- urgentní zdravotnické služby * statistika a číselné údaje MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
OBJECTIVE: Age-at-death estimation is usually done manually by experts. As such, manual estimation is subjective and greatly depends on the past experience and proficiency of the expert. This becomes even more critical if experts need to evaluate individuals with unknown population affinity or with affinity that they are not familiar with. The purpose of this study is to design a novel age-at-death estimation method allowing for automatic evaluation on computers, thus eliminating the human factor. METHODS: We used a traditional machine-learning approach with explicit feature extraction. First, we identified and described the features that are relevant for age-at-death estimation. Then, we created a multi-linear regression model combining these features. Finally, we analysed the model performance in terms of Mean Absolute Error (MAE), Mean Bias Error (MBE), Slope of Residuals (SoR) and Root Mean Squared Error (RMSE). RESULTS: The main result of this study is a population-independent method of estimating an individual's age-at-death using the acetabulum of the pelvis. Apart from data acquisition, the whole procedure of pre-processing, feature extraction and age estimation is fully automated and implemented as a computer program. This program is a part of a freely available web-based software tool called CoxAGE3D, which is available at https://coxage3d.fit.cvut.cz/. Based on our dataset, the MAE of the presented method is about 10.7 years. In addition, five population-specific models for Thai, Lithuanian, Portuguese, Greek and Swiss populations are also given. The MAEs for these populations are 9.6, 9.8, 10.8, 10.5 and 9.2 years, respectively. Our age-at-death estimation method is suitable for individuals with unknown population affinity and provides acceptable accuracy. The age estimation error cannot be completely eliminated, because it is a consequence of the variability of the ageing process of different individuals not only across different populations but also within a certain population.
- MeSH
- acetabulum * diagnostické zobrazování MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- lineární modely MeSH
- mladý dospělý MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- software * MeSH
- soudní antropologie * metody MeSH
- strojové učení * MeSH
- určení kostního věku * metody MeSH
- zobrazování trojrozměrné * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Sand flies (Diptera: Psychodidae: Phlebotominae) are blood-feeding insects that transmit the protozoan parasites Leishmania spp. and various arboviruses. The Balkan region, including the Republic of Kosovo, harbours a diverse sand fly fauna. Vector species of Leishmania infantum as well as phleboviruses are endemic; however, recent data are scarce. We performed a cross-sectional study to update the current sand fly distribution in Kosovo and assess biological as well as environmental factors associated with sand fly presence. CDC light trapping was conducted at 46 locations in 2022 and 2023, specifically targeting understudied regions in Kosovo. Individual morphological species identification was supported by molecular barcoding. The occurrence data of sand flies was used to create distribution maps and perform environmental analyses, taking elevation, wind speed and climate-related factors into account. In addition, PCR-based blood meal analysis and pathogen screening were conducted. Overall, 303 specimens of six sand fly species were trapped, predominated by Phlebotomus neglectus (97%). Barcodes from eight of nine known endemic sand fly species were obtained. Combining our data with previous surveys, we mapped the currently known sand fly distribution based on more than 4000 specimens at 177 data points, identifying Ph. neglectus and Ph. perfiliewi as the predominant species. Environmental analyses depicted two geographical groups of sand flies in Kosovo, with notable differences between the species. In total, 223 blood meals of five sand fly species were analysed. Of seven identified host species, the predominant blood meal source was observed to be cattle, but the DNA of dogs and humans, among others, was also detected. This study assessed biological as well as ecological factors of sand fly occurrence, which should help better understand and evaluate potential hot spots of disease transmission in Kosovo.
- MeSH
- hmyz - vektory * fyziologie parazitologie MeSH
- Leishmania infantum fyziologie MeSH
- Phlebotomus * klasifikace fyziologie parazitologie MeSH
- průřezové studie MeSH
- psi MeSH
- Psychodidae fyziologie parazitologie MeSH
- rozšíření zvířat * MeSH
- zvířata MeSH
- Check Tag
- mužské pohlaví MeSH
- psi MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Kosovo MeSH
