Staphylococcus aureus (SA or S. aureus) is a common pathogen that leads to local and systemic infections in communitarian and hospitalised patients. Staphylococcus colonizing nasal or pharyngeal sites can become virulent and cause severe infections. In this study, we collected 322 pharyngeal exudates and 142 nasal exudates from hospitalised and outpatients for screening purposes. The carriage rates in the pharynx were 27.06% for S. aureus, 11.55% for methicillin-resistant S. aureus (MRSA) and 5.61% for methicillin-oxacillin resistant S. aureus (MORSA). The carriage rates in the nose were 35.38% for S. aureus, 18.46% for MRSA and 13.85% for MORSA. The median multiple antibiotic resistance (MAR) index of SA was 33.33%. The MAR of MRSA was significantly higher than that of methicillin-susceptible strains (MSSA) (45.45% vs. 18.75%, P<0.0001) and the MAR of MORSA was 57.14%. Hierarchical clustering analysis revealed differences in the resistance of methicillin-sensitive, MRSA and MORSA strains. On the whole, our study demonstrates the pattern of distribution of nasal and pharyngeal colonisation with SA, MRSA and MORSA in adults vs. children, inpatients vs. outpatients, ICU patients vs. non-ICU patients, and females vs. males, which can be used for adjusting the screening and decontamination protocols in a hospital. SA is a pervasive pathogen with constantly changing trends in resistance and epidemiology and thus requires constant monitoring in healthcare facilities.
Rheumatoid arthritis (RA) is classified as an inflammatory, chronic autoimmune and disabling disease based on the intricate interplay between environmental and genetic factors. With a prevalence ranging from 0.3 to 1%, RA is the most prevalent inflammatory joint disease observed in adults. Disruption of immune tolerance becomes evident when abnormal stimulation of the innate and adaptive immune system occurs. This cascade of events causes persistent joint inflammation, proliferative synovitis and, ultimately, damage of the underlying cartilage as well as the subchondral bone, leading to permanent joint destruction, deformity and subsequent loss of function. With cytokines being the key to a multitude of biological processes, including inflammation, hematopoiesis and overall immune response, one must inevitably look at the main pathways through which a significant number of those molecules exert their function. Janus kinase/signal transducers and activators of transcription (JAK/STATs) represent one such pathway and, recently, JAK inhibitors (JAKinibs) have shown promise in the treatment of several inflammatory diseases, including RA. This narrative review focuses on the intricate signaling pathways involved as well as on the clinical aspects and safety profiles of JAKinibs approved for the treatment of RA.
In this study, we aimed to evaluate the efficacy of pentoxifylline and atorvastatin in the treatment of non-alcoholic fatty liver disease (NAFLD). The study included 98 patients with histologically confirmed NAFLD divided into 2 groups as follows: group I (57 dyslipidemic patients, receiving atorvastatin 20 mg/day and group II (41 non-dyslipidemic patients, treated with pentoxifylline, 800 mg/day). The present study was conducted for a mean of 32.8±3.4 weeks. For all patients, we determined the body mass index, a liver biopsy was performed, and we measured the serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), total cholesterol (TC) and triglycerides (TG) at the beginning and at the end of the study period. The NAFLD activity score (NAS) was used to evaluate the liver biopsies for steatosis, fibrosis and necroinflammation. The patients in group I exhibited a considerable reduction in ALT, AST, GGT, TC, AP and TG levels (P<0.0001). Histologically, there were no changes in fibrosis and necroinflammation, although the extent steatosis was reduced. The improvement in the ALT, AST and GGT values (P<0.05) in group II were similar to those in group I; however, no statistically significant decrease was noted in the levels of ALP, TC and TG in this group. Our results thus demonstrated that atorvastatin attenuated steatosis and improved liver function parameters in patients with NAFLD associated with dyslipidemia. Similar results were obtained in the non-dyslipidemic patients administered pentoxifylline.
Chronic liver disease is a major health issue worldwide and chronic hepatitis C (CHC) is associated with an increased risk of cirrhosis and hepatocellular carcinoma (HCC). There is evidence that the hepatitis C virus (HCV) infection is correlated with immune senescence by way of immune activation and chronic inflammation, which lead to increased metabolic and cardiovascular risk, as well as progressive liver damage. Both the innate and adaptive immunity are firmly tied to the prognosis of an infection with HCV and its response to antiviral therapy. HCV is therefore associated with increased pro-inflammatory status, heightened production of cytokines, prolonged systemic inflammation, as well as increased morbidity and mortality, mainly due to the progression of hepatic fibrosis and HCC, but also secondary to cardiovascular diseases. Viral hepatic pathology is increasingly considered a disease that is no longer merely limited to the liver, but one with multiple metabolic consequences. Numerous in vitro studies, using experimental models of acute or chronic inflammation of the liver, has brought new information on immunopathological mechanisms resulting from viral infections and have highlighted the importance of involving complex structures, inflammasomes complex, in these mechanisms, in addition to the involvement of numerous proinflammatory cytokines. Beyond obtaining a sustained viral response and halting the aforementioned hepatic fibrosis, the current therapeutic "treat-to-target" strategies are presently focused on immune-mediated and metabolic disorders, to improve the quality of life and long-term prognosis of CHC patients.
Ankylosing spondylitis (AS) is a progressive common autoimmune inflammatory disease, part of the spondylarthritis group, characterized, besides clinical spinal and peripheral joint inflammation, by enthesitis and new bone formation, that can lead to severe functional impairment. Beyond intensive and continuous research on the pathogenic process extensively performed in recent years, their impact on therapeutic management remains open to future development. Better knowledge of AS pathogenesis have shown results progressively and studies are being performed to advance our current understanding of the disease. It is well known that tumor necrosis factor (TNF) exerts a central role, along with interleukin-17 (IL-17) and interleukin-23 (IL-23), demonstrated by several clinical studies. Similar to other rheumatic inflammatory conditions, SA is associated with an early process of systemic bone loss, both trabecular and cortical, consecutive osteopenia, osteoporosis, and high fracture risk. Current personalized therapeutic options benefit from new published data, to prevent future complications and to improve quality of life. Contents 1. Introduction 2. Immunopathogenesis of ankylosing spondylitis 3. Effects of IL-23 and IL-17 on the bone 4. Conclusions
Background: CTX-M betalactamases have shown a rapid spread in the recent years among Enterobacteriaceae and have become the most prevalent Extended Spectrum Beta-Lactamases (ESBLs) in many parts of the world. The introduction and dissemination of antibiotic-resistant genes limits options for treatment, increases mortality and morbidity in patients, and leads to longer hospitalization and expensive costs. We aimed to identify the beta-lactamases circulating encoded by the genes blaCTX-M-15, blaSHV-1 and blaTEM-1 in Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae) strains. Furthermore, we established the associated resistance phenotypes among patients hospitalized in the Intensive Care Unit (ICU) from County Clinical Emergency Hospital of Craiova, Romania. Methods: A total of 46 non-duplicated bacterial strains (14 strains of E. coli and 32 strains of K. pneumoniae), which were resistant to ceftazidime (CAZ) and cefotaxime (CTX) by Kirby–Bauer disk diffusion method, were identified using the automated VITEK2 system. Detection of ESBL-encoding genes and other resistance genes was carried out by PCR. Results. E. coli strains were resistant to 3rd generation cephalosporins and moderately resistant to quinolones, whereas K. pneumoniae strains were resistant to penicillins, cephalosporins, and sulfamides, and moderately resistant to quinolones and carbapenems. Most E. coli strains harbored blaCTX-M-15 gene (13/14 strains), a single strain had the blaSHV-1 gene, but 11 strains harbored blaTEM-1 gene. The mcr-1 gene was not detected. We detected tet(A) gene in six strains and tet(B) in one strain. In K. pneumoniae strains we detected blaCTX-M-15 in 23 strains, blaSHV-1 in all strains and blaTEM-1 in 14 strains. The colistin resistance gene mcr-1 was not detected. The tetracycline gene tet(A) was detected in 11 strains, but the gene tet(B) was not detected in any strains. Conclusions. The development in antibiotic resistance highlights the importance of establishing policies to reduce antibiotic use and improving the national resistance surveillance system in order to create local antibiotic therapy guidelines.
Background and Objectives: At present, thyroid disorders have a great incidence in the worldwide population, so the development of alternative methods for improving the diagnosis process is necessary. Materials and Methods: For this purpose, we developed an ensemble method that fused two deep learning models, one based on convolutional neural network and the other based on transfer learning. For the first model, called 5-CNN, we developed an efficient end-to-end trained model with five convolutional layers, while for the second model, the pre-trained VGG-19 architecture was repurposed, optimized and trained. We trained and validated our models using a dataset of ultrasound images consisting of four types of thyroidal images: autoimmune, nodular, micro-nodular, and normal. Results: Excellent results were obtained by the ensemble CNN-VGG method, which outperformed the 5-CNN and VGG-19 models: 97.35% for the overall test accuracy with an overall specificity of 98.43%, sensitivity of 95.75%, positive and negative predictive value of 95.41%, and 98.05%. The micro average areas under each receiver operating characteristic curves was 0.96. The results were also validated by two physicians: an endocrinologist and a pediatrician. Conclusions: We proposed a new deep learning study for classifying ultrasound thyroidal images to assist physicians in the diagnosis process.
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