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Sereia, A. F. R.

Publications and source records attributed to Sereia, A. F. R..

2 recordsLinked to original sources

End-to-end assessment of fecal bacteriome analysis: from sample processing to DNA sequencing and bioinformatics results

Intestinal microbiome, comprising the whole microbiota, their genes and genomes living in the human gut have significant roles in promoting health or disease status. As many studies showed so far, identifying the bacterial components of the microbiome can reveal important biomarkers to help in the disease comprehension to a further adequate treatment. However, the human nature is quite variable considering the genetic components associated with life styles, directly reflecting on the gut microbiome. Thus, it is extremely important to know the populational microbiome background in order to draw conclusions regarding the health and disease conditions. Also, methodological best practices and knowledge about the methods being used are essential for the results quality and applicability with clinical relevance. In this way, we standardized the sample collection and processing methods used for the Probiome assay, a test developed to identify the Brazilian bacteriome from stool samples. EncodeTools Metabarcode pipeline of analysis was developed to obtain the best result from the samples. This pipeline uses the information of amplicon single variants (ASVs) in 100% identical oligotype clusters, and performs a de novo taxonomical assignment based on similarity for unknown sequences. To better comprehend the results obtained in Probiome assays, is essential to know the intestinal bacteriome diversity of Brazilians. Thus, we applied the standardized methods herein developed and began characterizing our populational data to allow a better understanding of the Brazilian bacteriome profiles and how they can be related to other microbiome studies.

microbiology↗

Multidrug-resistant Gram-negative bacteria from patients, hospital environment and healthcare workers: a six-month cross-sectional study

Healthcare-associated infections (HAI) are an important public health threat with the multidrug-resistant (MDR) gram-negative bacteria (GNB) being of particular concern. Here we present the antimicrobial resistance profile of HAI-related GNB (HAIrB) isolated from patients (PT), healthcare workers (HCW) and hospital environment (HE) in a six-month screening program. From the 180 sampling points distributed in six hospital units, a total of 1,080 swabs were collected allowing the isolation of 390 HAIrB: 50.5% from HE, 42.6% from PT and 6.9% from HCW. Among the HAIrB, 32.6% were characterized as MDR and 38.7% as extended-spectrum cephalosporins resistant (ESC-R), showing no differences in the distribution between PT, HE and HCW. Carbapenem resistance (CARB-R) was detected for 17.7% of all HAIrB, being higher among Acinetobacter spp. isolates (36.5%), followed by Enterobacteriaceae (14.5%) and Pseudomonas spp. (11.8%). Except for the ICU, that revealed higher MDR, CARB-R and ESC-R rates, HAIrB-resistant profiles were similarly detected within the hospital units. Prevalence of blaKPC-like and blaCTX-M-1 {beta}-lactamases-resistance genes was higher in K. pneumoniae and E. cloacae complex, while blaOXA-23-like and blaSPM-like were higher in A. baumannii and P. aeruginosa, respectively. This study reveals that the spreading of HAIrB within a hospital environment is higher than predicted, indicating that healthcare workers, hospital areas and equipment are key players on dissemination of MDR gram-negative bacteria and shows that an active surveillance program can provide precise understanding and direct actions towards control of HAI.

microbiology↗