Antibacterial Resistance Profile and PCR Detection of Antibiotic Resistance Genes in Salmonella Serovars Isolated from Blood Samples of Hospitalized Subjects in Kano, North-West, Nigeria

2015 ◽  
Vol 5 (3) ◽  
pp. 245-256 ◽  
Author(s):  
M. Abdullahi ◽  
S. Olonitola ◽  
V. Umoh ◽  
I. Inabo
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Pcr Detection ◽  
Antibacterial Resistance ◽  
Blood Samples ◽  
Resistance Profile ◽  
North West ◽  
Salmonella Serovars

Multiplex PCR detection of the antibiotic resistance genes in Staphylococcus aureus strains isolated from auricular infections

2008 ◽  
Vol 53 (4) ◽  
pp. 357-362 ◽  
Author(s):  
T. Zmantar ◽  
K. Chaieb ◽  
F. Ben Abdallah ◽  
A. Ben Kahla-Nakbi ◽  
A. Ben Hassen ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Antibiotic Resistance ◽  
Multiplex Pcr ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Pcr Detection

scholarly journals 655. Detection of Antibiotic Resistance Genes in Clinical Samples using T2 Magnetic Resonance

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S301-S301
Author(s):  
Jessica L Snyder ◽  
Brendan Manning ◽  
Robert Shivers ◽  
Daniel Gamero ◽  
Heidi Giese ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Magnetic Resonance ◽  
Species Identification ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Resistance Testing ◽  
Clinical Samples ◽  
Antibiotic Resistant ◽  
Blood Samples ◽  
Culture Independent

Abstract Background Antibiotic-resistant bacteria are spread through selective pressure from the use of broad-spectrum empirical therapies, mobile genetic elements that pass resistance genes between species, and the inability to rapidly and appropriately respond to their presence. Resistance gene identification is often performed with post culture molecular diagnostic tests. The T2Resistance Panel, which detects methicillin resistance genes mecA/C; vancomycin resistance genes vanA/B; carbapenemases blaKPC, blaOXA-48,blaNDM, blaVIM, and blaIMP; AmpC β-lactamases blaCMY and blaDHA; and extended-spectrum β-lactamases blaCTX-M directly from patient blood samples, is based on T2 magnetic resonance (T2MR), an FDA-cleared technology with demonstrated high sensitivity and specificity for culture-independent bacterial and fungal species identification. Here we report the clinical performance of T2MR detection of resistance genes directly from patient blood samples. Methods Patients with a clinical diagnosis of sepsis and an order for blood culture (BC) were enrolled in the study at two sites. BCs were managed using standard procedures and MALDI-TOF for species identification. Resistance testing with the T2MR assay was performed on a direct patient draw and compared with diagnostic test results from concurrent BC specimen and BC specimen taken at other points in time. The potential impact on therapy was evaluated through patient chart review. Results T2MR detected the same resistance genes as detected by post culture diagnostics in 100% of samples from concurrent blood draws. Discordant results occurred when T2MR was taken ≥48 hours after BC for patients on antimicrobial therapy. The average time to positive result was 5.9 hours with T2MR vs. 30.6 hours with post-culture molecular testing. Conclusion The T2Resistance Panel detected antibiotic resistance genes in clinical samples and displayed agreement with post culture genetic testing. T2MR results were achieved faster than culture-dependent diagnostic testing results and may allow for an earlier change from empiric to directed therapy. The use of culture-independent diagnostics like T2MR could enable a quicker response to antibiotic-resistant organisms for individual patients and developing outbreaks. Disclosures All authors: No reported disclosures.

scholarly journals Multiomics analysis reveals the presence of a microbiome in the gut of fetal lambs

Gut ◽  
2021 ◽  
Vol 70 (5) ◽  
pp. 853-864
Author(s):  
Yanliang Bi ◽  
Yan Tu ◽  
Naifeng Zhang ◽  
Shiqing Wang ◽  
Fan Zhang ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Infant Development ◽  
Antibiotic Resistance Genes ◽  
Short Chain Fatty Acids ◽  
Abundant Species ◽  
Cecal Content ◽  
Microbial Metabolites ◽  
Blood Samples ◽  
Low Diversity

ObjectiveMicrobial exposure is critical to neonatal and infant development, growth and immunity. However, whether a microbiome is present in the fetal gut prior to birth remains debated. In this study, lambs delivered by aseptic hysterectomy at full term were used as an animal model to investigate the presence of a microbiome in the prenatal gut using a multiomics approach.DesignLambs were euthanised immediately after aseptic caesarean section and their cecal content and umbilical cord blood samples were aseptically acquired. Cecal content samples were assessed using metagenomic and metatranscriptomic sequencing to characterise any existing microbiome. Both sample types were analysed using metabolomics in order to detect microbial metabolites.ResultsWe detected a low-diversity and low-biomass microbiome in the prenatal fetal gut, which was mainly composed of bacteria belonging to the phyla Proteobacteria, Actinobacteria and Firmicutes. Escherichia coli was the most abundant species in the prenatal fetal gut. We also detected multiple microbial metabolites including short chain fatty acids, deoxynojirimycin, mitomycin and tobramycin, further indicating the presence of metabolically active microbiota. Additionally, bacteriophage phiX174 and Orf virus, as well as antibiotic resistance genes, were detected in the fetal gut, suggesting that bacteriophage, viruses and bacteria carrying antibiotic resistance genes can be transmitted from the mother to the fetus during the gestation period.ConclusionsThis study provides strong evidence that the prenatal gut harbours a microbiome and that microbial colonisation of the fetal gut commences in utero.

scholarly journals Whole Genome Sequencing and Beta-Lactam Resistant Genes in Klebsiella pneumoniae Strains Clinically Isolated from CU Shah Hospital, Gujarat, India

2021 ◽  
Vol 14 (4) ◽  
pp. 1847-1854
Author(s):  
Vaibhavi Patel
Keyword(s):  
Antibiotic Resistance ◽  
Klebsiella Pneumoniae ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Virulence Gene ◽  
Multidrug Resistant ◽  
Whole Genome ◽  
Beta Lactam ◽  
Resistance Profile ◽  
Antibiotic Resistance Profile

A simple explanation for antimicrobial-resistant opportunistic infections in immunocompromised patients is Klebsiella pneumoniae which gradually being associated in insidious infections globally with high mortality rate. Eight hundred fifty-six antibiotic resistant K. pneumoniae isolates were collected over 3 years period (from different wards and different specimens) from the Microbiology department of C.U. Shah hospital, whose AST checked by Kirby Bauer disk diffusion method. To study AMR genes, virulome, interference of virulence gene with resistance gene, phylogenomic; 6 clinical isolates were proceeded for whole genome sequencing and bio informatics analysis. Klebsiella pneumoniae is a multidrug-resistant (MDR) opportunistic and one of delegate of ESKAPE pathogens groups. This pathogen causes nosocomial infections, urinary tract infections, liver abscesses, wound infections, meningitis. These strains obtain a multidrug resistant phenotype by way of horizontal transfer of ARG transported by either transposons or plasmids. This transfer is generally facilitated by Integrons. In this study antibiotic resistance profile and antibiotic resistance genes analysis as well as virulence gene of K. pneumoniae strains were investigated. The study was carried out using 853 clinical isolates collected during 3 years from C.U. Shah hospital of Surendranagar. Antibiotic resistance profile test was carried out by the VITEK 2 against 21 antibiotics. Out of that 6 samples were proceed for DNA extraction, WGS illumina sequencer and analysis of those raw sequences by TORMES pipeline. In this study antibiotic resistance profile included 13 beta lactam antibiotics which classified under 3 class (Penicillin, Cephalosporin, Carbapenem) of beta lactam and in AMR gene study got total 15 different ESBL resistance genes from 6 different klebsiella pneumoniae strain. All these genes detected with more than 90% identity by CARD. (TORMES Pipeline) CTX-M-15, NDM-5, OKP-B-6, PDC-2, OXA-1, OXA-181, OXA-362, OXA-50, OXA-9, SHV-1, SHV-11, SHV-187, TEM-1, TEM-150. In this study, we’ve analyzed the pattern of antibiotic resistance pattern as a phenotypic characteristic and antibiotic resistance genes as genotypic characteristic and co related the results. As multidrug resistance is a worrying matter, constant observation and regular clinical recognition of resistant bacteria are essential to avoid terrible public health incidents. So, our data should be inferred as a warning for need for prevention and control of the MDR K. pneumoniae in hospital settings.

scholarly journals Spatial Distribution of Antibiotic Resistance Genes of the Zaohe-Weihe Rivers, China: Exerting a Bottleneck in the Hyporheic Zone

2021 ◽  
Author(s):  
Siqi Shen ◽  
Shengke Yang ◽  
Dan Zhang ◽  
Yang Jia ◽  
Fanfan Zhang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Antibiotic Resistance ◽  
Spatial Distribution ◽  
Surface Water ◽  
Resistance Genes ◽  
Hyporheic Zone ◽  
Antibiotic Resistance Genes ◽  
Principal Component ◽  
Residual Fraction ◽  
North West

Abstract The hyporheic zone (HZ) is an active biogeochemical region where groundwater and surface water mix and a potential reservoir for antibiotic resistance genes (ARGs). In this paper, the relative abundance and spatial distribution of ARGs in the HZ media was investigated, taking into consideration both the 5 speciation of 6 metals and the local characteristics. The samples of surface water, groundwater and sediment were collected from Zaohe-Weihe rivers of Xi’an City, which is representative cities with characteristics of the north-west region region of China. Of 271 ARGs associated with 9 antibiotics, 228 were detected, with a total detection rate of 84%. Sulfonamide and aminoglycoside ARGs were the dominant types of ARGs. The top 6 ARGs and mobile genetic elements (MGEs) in terms of abundance were tnpA-04, cepA, sul1, aadA2-03, sul2 and intI1. The results of principal component analysis (PCA) showed that the distribution characteristics of ARGs were not associated with the sampling sites but with the environmental medias. Similarity in the water phases and significant differences in the water and sediment phases were found. The redundancy analysis (RDA) identified the key factors controlling ARG pollution, including dissolved oxygen (DO) in surface water, total nitrogen (TN) in groundwater and total organic carbon (TOC) in sediments. In terms of the speciation of heavy metals, we further revealed the promotion effect between ARGs and heavy metals, especially the residual fraction of Ni. In terms of horizontal transfer mechanism, ARGs were significantly correlated with tnpA-03 in water phase, and were significantly correlated with tnpA-04 in sediment. In the three media, intI1 and ARGs, all show a significant correlation. These findings showed that hyporheic zone exerted a bottleneck effect on the distribution and transfer of ARGs.

scholarly journals In Silico Virulence and Resistance Profile Analysis of Staphylococcus species

2017 ◽  
Vol 20 (1) ◽  
pp. 71-84
Author(s):  
Nusrat Nahar ◽  
Ridwan Bin Rashid ◽  
ANM Hamidul Kabir ◽  
Mohammad Sharifur Rahman
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
In Silico ◽  
Polymerase Chain Reaction Amplification ◽  
Antibiotic Resistance Genes ◽  
Tetracycline Resistance ◽  
Erythromycin Resistance ◽  
Resistance Profile ◽  
In Silico Studies ◽  
Staphylococcus Spp

In silico studies of the genes of Staphylococcus spp. might establish some correlations with multiple pathological factors. Sixty isolates of Staphylococcus spp. have been studied here targeting virulence and antibiotic resistance genes through in silico tools. Here, in silico PCR (polymerase chain reaction) amplification detected both virulence and antibiotic resistance genes. Study revealed that most of the isolates harboured either cap5 (40%) or cap8 (31.67%) locus gene. Staphylococcal enterotoxin was detected in 63.33% of the isolates. The sea gene, responsible for food poisoning, was detected in 26.67% of the isolates. The tst positive isolates (5%), responsible for toxic shock syndrome, were present in only genotype 8. No exfoliative toxin was detected. The icaA gene, responsible for intracellular adherence, appeared in 80% of the isolates. Alpha hemolysin gene, hla, was detected in 63.33% of the isolates. Sixty-five percent of the isolates harboured the mecA genes. Both ?-lactamase (blaZ) and erythromycin resistance, ermA genes were available in 38.33% of the isolates. In silico pulsed field gel electrophoresis (PFGE) digestion was able to divide isolates into 23 genotypes. Genotype 8 and 11 harboured tetracycline resistance genes, tetM and tetK. The tetM gene (18.33%) was more prevalent than tetK gene (11.67%). Genotype 1 and 11 were considered more virulent than others. Genotype 11 also carried six antibiotic resistance genes but did not carry the genes msrA, msrB, ermB and ermC. The data generated here might aid in the prediction of the virulence and resistance profile based on genotyping as well as contribute in vaccine development.Bangladesh Pharmaceutical Journal 20(1): 71-84, 2017

Sign in / Sign up

Export Citation Format

Share Document