RESUMEN

The current study evaluates antibiotic susceptibility and Extended Spectrum ß-Lactamase (ESBL) production of 557 Escherichia coli isolates obtained from clean catch midstream urine samples using VITEK 2 compact automated microbial identification system. Different classes of drugs were used to determine the Minimum inhibitory concentration (MIC). In our study, 50.45% of isolates were ESBL producers. There is a higher incidence of UTI in females (77.4%) than in males (22.6%). The isolates reveal a high percentage of resistance to antibiotics like nalidixic acid (89.59%), ampicillin (75.76%), ticarcillin (73.43%), cefalotin (67.68%), cefixime (65.17%), ciprofloxacin (58.35%) and ceftriaxone (56.37%). An increased susceptibility pattern was observed for the isolates against drug classes like fosfomycin (98.03%) and nitrofurantoin (91.02%). Among the isolates, 395 (70.91%) were classified as Multidrug-resistant organisms based on the resistance pattern observed against three or more classes of antibiotics. One of the isolates resistant to fluoroquinolones, penicillins, penicillins along with ß-lactamase inhibitor, aminoglycosides, third-generation cephalosporins and carbapenems was subjected to Whole genome sequencing (WGS). WGS data revealed the isolate to be a high-risk clone ST410, which contains antimicrobial-resistance genes (blaTEM-1B, blaCTX-M-15, blaNDM-5, aac(3)-IId, armA, gyrA(p.S83L), gyrA(p.D87N)) conferring resistance to ß-lactam, cephalosporins, carbapenem, aminoglycoside and fluoroquinolone class of antibiotics. The core genome MLST was carried out using BacWGSTdb to assess the global phylogenetic relationship of the genome sequence. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-023-01125-1.

RESUMEN

Alzheimer's Disease (AD) is a widespread, chronic, irreversible, and degenerative condition, and its early detection during the prodromal stage is of utmost importance. Typically, AD studies rely on single data modalities, such as MRI or PET, for making predictions. Nevertheless, combining metabolic and structural data can offer a comprehensive perspective on AD staging analysis. To address this goal, this paper introduces an innovative multi-modal fusion-based approach named as Dual-3DM3-AD. This model is proposed for an accurate and early Alzheimer's diagnosis by considering both MRI and PET image scans. Initially, we pre-process both images in terms of noise reduction, skull stripping and 3D image conversion using Quaternion Non-local Means Denoising Algorithm (QNLM), Morphology function and Block Divider Model (BDM), respectively, which enhances the image quality. Furthermore, we have adapted Mixed-transformer with Furthered U-Net for performing semantic segmentation and minimizing complexity. Dual-3DM3-AD model is consisted of multi-scale feature extraction module for extracting appropriate features from both segmented images. The extracted features are then aggregated using Densely Connected Feature Aggregator Module (DCFAM) to utilize both features. Finally, a multi-head attention mechanism is adapted for feature dimensionality reduction, and then the softmax layer is applied for multi-class Alzheimer's diagnosis. The proposed Dual-3DM3-AD model is compared with several baseline approaches with the help of several performance metrics. The final results unveil that the proposed work achieves 98% of accuracy, 97.8% of sensitivity, 97.5% of specificity, 98.2% of f-measure, and better ROC curves, which outperforms other existing models in multi-class Alzheimer's diagnosis.

Asunto(s)

Enfermedad de Alzheimer , Humanos , Enfermedad de Alzheimer/diagnóstico por imagen , Semántica , Imagen por Resonancia Magnética/métodos , Algoritmos , Tomografía de Emisión de Positrones/métodos

RESUMEN

We report the draft genome sequence of carbapenem-resistant Escherichia coli (CREC-1) of sequence type (ST2083) isolated from a urine sample of a 2-year-old female toddler carrying antimicrobial resistance genes blaNDM-5 and blaCMY-42 which displays resistance against multiple classes of antibiotics notably ß-lactam antibiotics, cephalosporins, and carbapenem and codes for several virulence factors.

RESUMEN

Enterococcus faecalis strain LREF-1 was isolated from a urine sample from India; it belongs to sequence type 28 (ST28), which is associated with nosocomial infections. The strain carries genes for resistance to multiple antibiotics and resistance to various drug classes, including tetracycline, erythromycin, and high-level gentamicin, along with virulence factors.

RESUMEN

The draft genome sequence of Bacillus subtilis A1, isolated from beach soil, has been shown to produce biofilm. The genome size is 4,215,114 bp with an average G+C content of 43.5%. The genome of Bacillus subtilis A1 has 4413 total genes which include 4166 protein-coding sequences, 126 pseudo genes, 10 rRNA genes with 3 operons (5S, 16S and 23S), 86 tRNA genes and 5 noncoding RNA (ncRNA) genes. The genome contains genes coding for surfactin, fengycin, bacillaene, sublancin 168, bacillibactin, subtilosin A, bacilysin. The whole genome project has been deposited in GenBank under the accession number CP075344.1. The raw data is available at https://www.ncbi.nlm.nih.gov/nuccore/CP075344.1.

RESUMEN

PURPOSE: Fermented soybean foods (FSF) is popularly consumed in the South-East Asian countries. Bacillus species, a predominant microorganism present in these foods, have demonstrated beneficial and deleterious impacts on human health. These microorganisms produce bioactive compounds during fermentation that have beneficial impacts in improving human health. However, the health risks associated with FSF, food pathogens, biogenic amines (BAs) production, and late-onset anaphylaxis, remain a concern. The purpose of this review is to present an in-depth analysis of positive and negative impacts as a result of consumption of FSF along with the measures to alleviate health risks for human consumption. METHODS: This review was composed by scrutinizing contemporary literature of peer-reviewed publications related to Bacillus and FSF. Based on the results from academic journals, this review paper was categorized into FSF, role of Bacillus species in these foods, process of fermentation, beneficial, and adverse influence of these foods along with methods to improve food safety. Special emphasis was given to the potential benefits of bioactive compounds released during fermentation of soybean by Bacillus species. RESULTS: The nutritional and functional properties of FSF are well-appreciated, due to the release of peptides and mucilage, which have shown health benefits: in managing cardiac disease, gastric disease, cancer, allergies, hepatic disease, obesity, immune disorders, and especially microbial infections due to the presence of probiotic property, which is a potential alternative to antibiotics. Efficient interventions were established to mitigate pitfalls like the techniques to reduce BAs and food pathogens and by using a defined starter culture to improve the safety and quality of these foods. CONCLUSION: Despite some of the detrimental effects produced by these foods, potential health benefits have been observed. Therefore, soybean foods fermented by Bacillus can be a promising food by integrating effective measures for maintaining safety and quality for human consumption. Further, in vivo analysis on the activity and dietary interventions of bioactive compounds among animal models and human volunteers are yet to be achieved which is essential to commercialize them for safe consumption by humans, especially immunocompromised patients.