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Annals of Agricultural and... Jun 2024Escherichia coli is one of the most common bacteria isolated from urine samples collected from dogs and cats with urinary tract infection (UTI). Uncomplicated UTIs in...
INTRODUCTION AND OBJECTIVE
Escherichia coli is one of the most common bacteria isolated from urine samples collected from dogs and cats with urinary tract infection (UTI). Uncomplicated UTIs in dogs and cats can be treated with short courses of first-line antimicrobial drugs, e.g. amoxicillin, amoxicillin with clavulanic acid, or trimethoprim/sulfonamide. Recurrent or complicated UTIs often require long-term treatment with broad-spectrum antibiotics. However, the choice of drug should be based on antimicrobial susceptibility.
MATERIAL AND METHODS
Between March - September 2022, E. coli isolates cultured from the urine of 66 dogs and 41 cats with UTI symptoms were tested for antimicrobial resistance by using Minimum Inhibitory Concentration (MIC). Antimicrobial susceptibility was tested for ampicillin, ampicillin/sulbactam, cefazolin, cefuroxime, aztreonam, gentamycin, amikacin, colistin, trimethoprim/sulfamethoxazole, ciprofloxacin, chloramphenicol and tetracycline.
RESULTS
The highest prevalence of resistance was documented for ampicillin (68% in dogs, 100% in cats) and ampicillin with sulbactam (59% in dogs, 54% in cats). The most common antimicrobial resistance patterns of E. coli were ampicillin alone (12 isolates, 29.3% in cats) and beta-lactams, including aztreonam (14 isolates, 21.2% in dogs).
CONCLUSIONS
High resistance to aztreonam (61% and 32% of isolates from dogs and cats, respectively), other beta-lactams, and fluoroquinolones should cause be alarm due to zoonotic potential and cross-transmission of antimicrobial-resistant microorganisms between animals and humans.
Topics: Dogs; Cats; Animals; Urinary Tract Infections; Cat Diseases; Escherichia coli; Dog Diseases; Anti-Bacterial Agents; Microbial Sensitivity Tests; Drug Resistance, Multiple, Bacterial; Escherichia coli Infections; Urinary Bladder; Female; Male
PubMed: 38940100
DOI: 10.26444/aaem/176843 -
Frontiers in Bioscience (Landmark... Jun 2024The incidence rate of oropharyngeal squamous cell carcinoma (OPSCC) worldwide is alarming. In the clinical community, there is a pressing necessity to comprehend the...
BACKGROUND
The incidence rate of oropharyngeal squamous cell carcinoma (OPSCC) worldwide is alarming. In the clinical community, there is a pressing necessity to comprehend the etiology of the OPSCC to facilitate the administration of effective treatments.
METHODS
This study confers an integrative genomics approach for identifying key oncogenic drivers involved in the OPSCC pathogenesis. The dataset contains RNA-Sequencing (RNA-Seq) samples of 46 Human papillomavirus-positive head and neck squamous cell carcinoma and 25 normal Uvulopalatopharyngoplasty cases. The differential marker selection is performed between the groups with a log2FoldChange (FC) score of 2, adjusted -value < 0.01, and screened 714 genes. The Particle Swarm Optimization (PSO) algorithm selects the candidate gene subset, reducing the size to 73. The state-of-the-art machine learning algorithms are trained with the differentially expressed genes and candidate subsets of PSO.
RESULTS
The analysis of predictive models using Shapley Additive exPlanations revealed that seven genes significantly contribute to the model's performance. These include , , and , which predominantly influence differentiating between sample groups. They were followed in importance by , , , and . The Random Forest and Bayes Net algorithms also achieved perfect validation scores when using PSO features. Furthermore, gene set enrichment analysis, protein-protein interactions, and disease ontology mining revealed a significant association between these genes and the target condition. As indicated by Shapley Additive exPlanations (SHAPs), the survival analysis of three key genes unveiled strong over-expression in the samples from "The Cancer Genome Atlas".
CONCLUSIONS
Our findings elucidate critical oncogenic drivers in OPSCC, offering vital insights for developing targeted therapies and enhancing understanding its pathogenesis.
Topics: Humans; Oropharyngeal Neoplasms; Biomarkers, Tumor; Papillomavirus Infections; Artificial Intelligence; Gene Expression Regulation, Neoplastic; Squamous Cell Carcinoma of Head and Neck; Algorithms; Sequence Analysis, RNA; Machine Learning; Papillomaviridae; Carcinoma, Squamous Cell
PubMed: 38940026
DOI: 10.31083/j.fbl2906220 -
Health Care Science Apr 2024The alarming state of global insulin access in low-resource settings presents a major barrier to diabetes care. A comprehensive review of these challenges is lacking at... (Review)
Review
The alarming state of global insulin access in low-resource settings presents a major barrier to diabetes care. A comprehensive review of these challenges is lacking at the global level. To address this weakness, enhance affordability and build capacity for a more sustainable approach to scaling up access. This review analyzes the specific issue of inconsistent access to insulin in low- and middle-income countries. Using this analysis, we mapped the scope and intensity of issues such as the unaffordability and unavailability of insulin. We also identified six innovative and integrative strategies for increasing and securing accessibility in the areas of policy making, marketing, clinical practice, health education, domestication, and multisectoral approaches.
PubMed: 38939619
DOI: 10.1002/hcs2.89 -
Frontiers in Psychiatry 2024Individuals with anxiety disorders (ADs) often display hypervigilance to threat information, although this response may be less pronounced following psychotherapy. This...
BACKGROUND
Individuals with anxiety disorders (ADs) often display hypervigilance to threat information, although this response may be less pronounced following psychotherapy. This study aims to investigate the unconscious recognition performance of facial expressions in patients with panic disorder (PD) post-treatment, shedding light on alterations in their emotional processing biases.
METHODS
Patients with PD (n=34) after (exposure-based) cognitive behavior therapy and healthy controls (n=43) performed a subliminal affective recognition task. Emotional facial expressions (fearful, happy, or mirrored) were displayed for 33 ms and backwardly masked by a neutral face. Participants completed a forced choice task to discriminate the briefly presented facial stimulus and an uncovered condition where only the neutral mask was shown. We conducted a secondary analysis to compare groups based on their four possible response types under the four stimulus conditions and examined the correlation of the false alarm rate for fear responses to non-fearful (happy, mirrored, and uncovered) stimuli with clinical anxiety symptoms.
RESULTS
The patient group showed a unique selection pattern in response to happy expressions, with significantly more correct "happy" responses compared to controls. Additionally, lower severity of anxiety symptoms after psychotherapy was associated with a decreased false fear response rate with non-threat presentations.
CONCLUSION
These data suggest that patients with PD exhibited a "happy-face recognition advantage" after psychotherapy. Less symptoms after treatment were related to a reduced fear bias. Thus, a differential facial emotion detection task could be a suitable tool to monitor response patterns and biases in individuals with ADs in the context of psychotherapy.
PubMed: 38938460
DOI: 10.3389/fpsyt.2024.1375751 -
Scientific Reports Jun 2024Nasally colonized staphylococci carry antibiotic resistance genes and may lead to serious opportunistic infections. We are investigating nasal carriage of Staphylococcus...
Nasally colonized staphylococci carry antibiotic resistance genes and may lead to serious opportunistic infections. We are investigating nasal carriage of Staphylococcus aureus and Staphylococci other than S. aureus (SOSA) among young volunteers in Egypt to determine their risk potential. Nasal swabs collected over 1 week in June 2019 from 196 volunteers were cultured for staphylococcus isolation. The participants were interviewed to assess sex, age, general health, hospitalization and personal hygiene habits. Identification was carried out using biochemical tests and VITEK 2 automated system. Disc diffusion and minimum inhibitory concentration tests were performed to determine antibiotic susceptibility. Screening for macrolide resistance genes (ermA, ermB, ermC, ermT and msrA) was performed using polymerase chain reaction. Thirty four S. aureus and 69 SOSA were obtained. Multi-drug resistance (MDR) was detected among most staphylococcal species, ranging from 30.77% among S. hominis to 50% among S. epidermidis. Phenotypic resistance to all tested antibiotics, except for linezolid, was observed. Susceptibility to rifampicin, vancomycin and teicoplanin was highest. ermB showed the highest prevalence among all species (79.41% and 94.2% among S. aureus and SOSA, respectively), and constitutive macrolide-lincosamide-streptogramin B (MLS) resistance was equally observed in S. aureus and SOSA (11.11% and 16.22%, respectively), whereas inducible MLS resistance was more often found in S. aureus (77.78% and 43.24%, respectively). The species or resistance level of the carried isolates were not significantly associated with previous hospitalization or underlying diseases. Although over all colonization and carriage of resistance genes are within normal ranges, the increased carriage of MDR S. aureus is alarming. Also, the fact that many macrolide resitance genes were detected should be a warning sign, particularly in case of MLS inducible phenotype. More in depth analysis using whole genome sequencing would give a better insight into the MDR staphylococci in the community in Egypt.
Topics: Humans; Egypt; Female; Male; Staphylococcus; Microbial Sensitivity Tests; Staphylococcal Infections; Anti-Bacterial Agents; Adult; Phenotype; Young Adult; Genotype; Staphylococcus aureus; Drug Resistance, Multiple, Bacterial; Adolescent
PubMed: 38937465
DOI: 10.1038/s41598-024-60924-8 -
PloS One 2024Refugees and their healthcare providers face numerous challenges in receiving and providing maternal and newborn care. Research exploring how these challenges are...
INTRODUCTION
Refugees and their healthcare providers face numerous challenges in receiving and providing maternal and newborn care. Research exploring how these challenges are related to adverse perinatal and maternal outcomes is scarce. Therefore, this study aims to identify suboptimal factors in maternal and newborn care for asylum-seeking and refugee women and assess to what extent these factors may contribute to adverse pregnancy outcomes in the Netherlands.
METHODS
We conducted a retrospective analysis of national perinatal audit data from 2017 to 2019. Our analysis encompassed cases with adverse perinatal and maternal outcomes in women with a refugee background (n = 53). Suboptimal factors in care were identified and categorized according to Binder et al.'s Three Delays Model, and the extent to which they contributed to the adverse outcome was evaluated.
RESULTS
We identified 29 suboptimal factors, of which seven were related to care-seeking, six to the accessibility of services, and 16 to the quality of care. All 53 cases contained suboptimal factors, and in 67.9% of cases, at least one of these factors most likely or probably contributed to the adverse perinatal or maternal outcome.
CONCLUSION
The number of suboptimal factors identified in this study and the extent to which they contributed to adverse perinatal and maternal outcomes among refugee women is alarming. The wide range of suboptimal factors identified provides considerable scope for improvement of maternal and newborn care for refugee populations. These findings also highlight the importance of including refugee women in perinatal audits as it is essential for healthcare providers to better understand the factors associated with adverse outcomes to improve the quality of care. Adjustments to improve care for refugees could include culturally sensitive education for healthcare providers, increased workforce diversity, minimizing the relocation of asylum seekers, and permanent reimbursement of professional interpreter costs.
Topics: Humans; Refugees; Female; Netherlands; Pregnancy; Infant, Newborn; Adult; Retrospective Studies; Perinatal Care; Pregnancy Outcome; Health Services Accessibility; Quality of Health Care; Young Adult; Patient Acceptance of Health Care
PubMed: 38935661
DOI: 10.1371/journal.pone.0305764 -
Indian Journal of Public Health Oct 2023Cancer incidence rates are rising at an alarming rate in India and are expected to rise by 12% in the next 5 years. Hence, a thorough knowledge of the existing scope of...
BACKGROUND
Cancer incidence rates are rising at an alarming rate in India and are expected to rise by 12% in the next 5 years. Hence, a thorough knowledge of the existing scope of the cancer problem is required to provide an approach for analyzing and regulating the impact of cancer across the country.
OBJECTIVES
This study aimed to determine whether the cancer incidence rates of all the states and union territories across the six geographical regions of India are statistically different from each other or not and also to identify the highly cancer-affected states.
MATERIALS AND METHODS
The data have been obtained from the website www.indiastat.com from 2009 to 2020. The one-way analysis of variance, followed by Tukey's test and t-test, is used for the statistical evaluation.
RESULTS
The multiple comparison tests revealed that the difference between the cancer incidence rates is significant in all the states and union territories in every region of India. The highly affected states in the six geographical regions of India are Uttar Pradesh (UP), Tamil Nadu, Bihar, Maharashtra, Assam, and Madhya Pradesh. The most highly affected state among them is UP. These states contributed to nearly half of India's cancer burden in 2020.
CONCLUSION
This study offers significant information on the current status of cancer incidence rates in India for 12 years. As India is observing an increase in cancer incidence, therefore, additional efforts are required to strengthen cancer prevention and control strategies, particularly in India's most cancer-affected states.
Topics: India; Humans; Incidence; Neoplasms
PubMed: 38934824
DOI: 10.4103/ijph.ijph_1587_22 -
MSystems Jun 2024The alarming rise of antibiotic-resistant bacterial infections is driving efforts to develop alternatives to conventional antibiotics. In this context, antimicrobial...
UNLABELLED
The alarming rise of antibiotic-resistant bacterial infections is driving efforts to develop alternatives to conventional antibiotics. In this context, antimicrobial peptides (AMPs) have emerged as promising candidates for their ability to target a broad range of microorganisms. However, the development of AMPs with optimal potency, selectivity, and/or stability profiles remains a challenge. To address it, computational tools for predicting AMP properties and designing novel peptides have gained increasing attention. PyAMPA is a novel platform for AMP discovery. It consists of five modules, namely AMPScreen, AMPValidate, AMPSolve, AMPMutate, and AMPOptimize, that allow high-throughput proteome inspection, candidate screening, and optimization through point-mutation and genetic algorithms. The platform also offers additional tools for predicting and evaluating AMP properties, including antimicrobial and cytotoxic activity, and peptide half-life. By providing innovative and accessible inroads into AMP motifs in proteomes, PyAMPA will enable advances in AMP development and potential translation into clinically useful molecules. PyAMPA is available at: https://github.com/SysBioUAB/PyAMPA.
IMPORTANCE
This paper introduces PyAMPA, a new bioinformatics platform designed for the discovery and optimization of antimicrobial peptides (AMPs). It addresses the urgent need for new antimicrobials due to the rise of antibiotic-resistant infections. PyAMPA, with its five predictive modules -AMPScreen, AMPValidate, AMPSolve, AMPMutate and AMPOptimize, enables high-throughput screening of proteomes to identify potential AMP motifs and optimize them for clinical use. Its unique approach, combining prediction, design, and optimization tools, makes PyAMPA a robust solution for developing new AMP-based therapies, offering a significant advance in combatting antibiotic resistance.
PubMed: 38934543
DOI: 10.1128/msystems.01358-23 -
Archives of Rheumatology Jun 2024The objective was to assess the serum levels of secretory leukocyte protease inhibitor (SLPI) and elafin in individuals diagnosed with axial spondyloarthritis (AxSpA)...
OBJECTIVES
The objective was to assess the serum levels of secretory leukocyte protease inhibitor (SLPI) and elafin in individuals diagnosed with axial spondyloarthritis (AxSpA) and analyze their diagnostic significance and correlation with disease activity.
PATIENTS AND METHODS
The case-controlled, cross-sectional study was conducted between August 2021 and April 2023. Sixty patients diagnosed with AxSpA (n=60) were classified according to imaging results as nonradiographic AxSpA (nr-AxSpA [n=30]; 15 males, 15 females; median age: 30 years; range, 27.6 to 34.1 years) and radiographic AxSpA (r-AxSpA [n=30]; 19 males, 11 females; median age: 33 years; range, 30.6 to 38.1 years), forming two patient groups (the nr-axSpA and r-axSpA groups). A total of 30 age- and sex-matched healthy controls (16 females, 14 males; median age: 33 years; range, 29.2 to 37.1 years) were included. Demographic data, laboratory, and clinical characteristics of the participants were recorded.
RESULTS
There was no significant difference between SLPI and elafin serum levels in the disease groups. SLPI and elafin levels in AxSpA and nr-AxSpA groups were significantly higher compared to the control group (p<0.05). Based on receiver operating characteristic analysis, the diagnostic values of both parameters were found to be significant in the Ax-SpA and nr-AxSpA groups (p<0.05). There was no significant correlation between serum levels of SLPI and elafin and disease activity parameters. Significant positive correlations were found between SLPI and elafin in both the nr-AxSpA (p<0.05, r=0.870) and r-AxSpA (p<0.05, r=0.725) groups.
CONCLUSION
The levels of SLPI and elafin were found to be significantly elevated in patients with AxSpA, particularly in those with nr-AxSpA, compared to the control group. Therefore, SLPI and elafin can be used as therapeutic biomarkers for the diagnosis of AxSpA and nr-AxSpA. However, no relationship was found with disease activity.
PubMed: 38933721
DOI: 10.46497/ArchRheumatol.2024.10466 -
Cureus May 2024Turnaround time (TAT) is a crucial clinical parameter that reflects the performance of a laboratory especially in the context of oncology and the COVID-19 pandemic....
INTRODUCTION
Turnaround time (TAT) is a crucial clinical parameter that reflects the performance of a laboratory especially in the context of oncology and the COVID-19 pandemic. Based on the Lean Six Sigma methodology, we performed a retrospective analysis of the TAT of the complete blood count (CBC) of cancer patients with the aim of reducing this delay in the future.
MATERIALS AND METHODS
Over one month of the COVID-19 pandemic, a retrospective evaluative audit was carried out on the TAT of the CBC in an oncology department. The root causes of failures of the overall analysis process were detected. The initiation of an improvement approach was implemented through the creation of an improvement flowchart and a new request form. The hospital information system (HIS) data were exported to Microsoft Excel® (Microsoft Corporation, Redmond, Washington, United States). Using the collected data, the mean, standard deviation, median, and interquartile range were calculated using IBM SPSS Statistics for Windows, Version 23, (Released 2015; IBM Corp., Armonk, New York, United States). All time intervals were expressed in minutes.
RESULTS
Among 263 intra-laboratory TATs analyzed, the median intra-lab TAT was 56 minutes (interquartile range (IQR): 36-80 minutes). A total of 82% of the analyses were performed in less than 90 minutes with a predominance of the interval 30-59 at 42.9%. The main causes of failures were essentially the lack of time stamping of the samples as well as the lack of real-time communication between the biologists and the clinicians. The proposed improvement model is currently being approved by all practitioners whose main items are as follows: At the clinical department level, distinguish the request forms but also the labels of the samples of the oncology hospital by a particular color, indication of clinical signs and sampling time on the request forms and on the HIS. At the laboratory level, create a specific chain for oncology department samples, alarm notification on the HIS, and rapid telecommunication of results for vital situations.
CONCLUSION
The intra-lab TAT of our study is biologically acceptable. Because our work is limited by the phases outside the control of the laboratory, it should lead to a continuous improvement project.
PubMed: 38933641
DOI: 10.7759/cureus.61149