Parviz Mohajeri

Background: Gastroenteritis refers to an infection in the stomach and small intestine that may be caused by bacteria, viruses, and other pathogenic agents. Most strains of Escherichia coli (E. coli) in the gastrointestinal system have shared a symbiotic relationship with humans, but some serotypes are pathogenic. This study aimed to identify E. coli pathotypes isolated from stool samples and determine the antibiotic resistance profiles of these pathotypes in the west of Iran. Methods: The study was conducted on 106 samples of diarrheal feces which were sent to Imam Reza laboratory. First E. coli was detected and then the DNA was extracted. Next, the antibiotic sensitivity test was performed by the disk diffusion method. The E. coli pathotypes were qualitatively detected using the Amplisense EscherichiosesFRT PCR kit after DNA extraction from E. coli isolated in the stool sample. Results: In this study, out of 106 E. coli-positive samples, pathogenic E. coli were detected in 62 samples including 5 samples (8.1%) which only contained the EPEC pathotype, 10 samples (16.1%) contained only the EAEC pathotype, and 12 samples (19.4%) had only the EHEC pathotype. ETEC and EIEC were not isolated from any of the samples. The sensitivity to Meropenem (97%) and Gentamicin (96.2%) showed the highest frequency among the samples. The highest level of resistance was related to Amoxicillin (93.4%) and Ampicillin (78%). Conclusions: The epidemiological results show that the predominant pathotype among all isolates is EHEC and most antibiotic resistances were related to Amoxicillin and Ampicillin. Finally, a comprehensive molecular diagnosis of E. coli pathotypes, investigation of their incidence, and antibiogram profiles will help to determine better diagnostic and therapeutic measures for managing diarrheal diseases.

Background: Pseudomonas aeruginosa nosocomial infections are among major problems associated with increased mortality and mobility among patients. Objectives: The aim of this research was to determine the molecular epidemiology of extended spectrum beta-lactamase (ESBL)-producing P. aeruginosa genotypes isolated from patients with nosocomial infections. Methods: One hundred forty-six clinical isolates of Pseudomonas spp. were obtained from a tertiary referral hospital. Phenotypic identification and PCR detection of gyrB were used to characterize P. aeruginosa. Extended spectrum beta-lactamases in samples were identified using the disk approximation test and the combination disk test (CDT). The blaSHV and blaTEM genes were detected by PCR. The strains were typed by the pulse field gel electrophoresis (PFGE), repetitive element sequence (Rep)-PCR, and enterobacterial repetitive intergenic consensus (ERIC)–PCR methods. Results: A total of 134 (91.78%) P. aeruginosa isolates were separated, 41.79% of whom were related to nosocomial infections. The extended spectrum beta-lactamase analysis test revealed that 5.97% and 66.41% of the isolates harbored the blaSHV and blaTEM genes, respectively. Enterobacterial repetitive intergenic consensus PCR, Rep-PCR, and PFGE each showed 56, 55, and 55 different patterns, respectively. Pulse-field gel electrophoresis indicated that pulso types C3 were dominant. Conclusions: The associations between ESBL production, blaSHV and blaTEM positivity, and ERIC, Rep-PCR, and PFGE patterns were not significant (P ≥ 0.05). Among nosocomial infections, a relatively high prevalence of ESBL-producing P. aeruginosa isolates was observed in the Kurdistan province of Iran. Periodic review of antibiotic resistance and molecular characterization of P. aeruginosa isolates is recommended to prevent the spread of nosocomial infections in hospitals.

Background: Multi-drug resistant (MDR) Acinetobacter baumannii is one of the most important causes of nosocomial infections. The purpose of this study was to identify antibiotic resistance patterns, biofilm formation and the clonal relationship of clinical and environmental isolates of A. baumannii by Pulsed Field Gel Electrophoresis method. Forty-three clinical and 26 environmental isolates of the MDR A. baumannii were collected and recognized via API 20NE. Antibiotic resistance of the isolates was assessed by the disk diffusion method, and the biofilm formation test was done by the microtiter plate method. Pulsed Field Gel Electrophoresis (PFGE) was used to assess the genomic features of the bacterial isolates. Results: The resistance rate of clinical and environmental isolates against antibiotics were from 95 to 100%. The difference in antibiotic resistance rates between clinical and environmental isolates was not statistically significant (p > 0.05). Biofilm production capabilities revealed that 31 (44.9%), and 30 (43.5%) isolates had strong and moderate biofilm producer activity, respectively. PFGE typing exhibited eight different clusters (A, B, C, D, E, F, G, and H) with two significant clusters included A and G with 21 (30.4%) and 16 (23.2%) members respectively, which comprises up to 53.6% of all isolates. There was no relationship between biofilm formation and antibiotic resistance patterns with PFGE pulsotypes. Conclusions: The results show that there is a close relationship between environmental and clinical isolates of A. baumannii. Cross-contamination is also very important that occurs through daily clinical activities between environmental and clinical isolates. Therefore, in order to reduce the clonal contamination of MDR A. baumannii environmental and clinical isolates, it is necessary to use strict infection control strategies.

Background: Acinetobacter baumannii strains with multiple antimicrobial resistance are primarily known as opportunistic nosocomial bacteria but they may also be regarded as emerging bacterial contaminants of food samples of animal origin. Here we aimed to study the molecular characteristics of the A. baumanni strains isolated from raw meat samples. Methods: A total of 22 A. baumanni strains were isolated from 126 animal meat samples and were genotyped by ERIC-PCR method and by PCR detection of their virulence and antimicrobial resistance determinants. A. baumannii strains with 80% and more similarities were considered as one cluster. Results: Sixteen different genetic clusters were found amongst the 22 A. baumanni strains. Of the 22 strains, 12 (54.54%) had similar genetic cluster. A. baumannii strains exhibited the highest percentage of resistance against tetracycline (90.90%), trimethoprim (59.09%), cotrimoxazole (54.54%) and gentamicin (50.00%). TetA (81.81%), tetB (72.72%), dfrA1 (63.63%), aac(3)-IV (63.63%), sul1 (63.63%) and aadA1 (45.45%) were the most commonly detected antibiotic resistance genes. FimH (81.81%), afa/draBC (63.63%), csgA (63.63%), cnf1 (59.09%), cnf2 (54.54%) and iutA (50.00%) were the most commonly detected virulence factors. A. baumannii strains isolated from the chicken meat samples had the highest similarities in the genetic cluster. Conclusions: A. baumannii strains with similar genetic cluster (ERIC-Type) had the same prevalence of antibiotic resistance, antibiotic resistance genes and virulence factors. Genetic cluster of the A. baumannii strains is the main factor affected the similarities in the genotypic and phenotypic properties of the A. baumannii strains.

Objective: The Beijing genotype is a distinct genetic lineage of Mycobacterium tuberculosis , which is distributed worldwide, and may cause large outbreaks of multidrug resistance-tuberculosis (MDR-TB). The distribution of such strains in the Eastern Mediterranean region (EMR) is unclear, and clarifying the data is our purpose apart from the presence of Beijing TB in Iran. Methods: We searched Published literature from CINAHL Cochrane Library, Current Contents, Database of Abstracts of Reviews of Effects (DARE), ProQuest Google Scholar PubMed, PsycINFO, Thomson Reuters, (SID), and Medical Library (MedLib) to detect relevant studies from the year 2000 to July 2015 with the following keywords: M. tuberculosis , Beijing genotype, EMR, and drug resistance. Random-effect models were used to estimate the proportion of Beijing strains in STATA 14. Heterogeneity was investigated by subgroup analysis and meta-regression. Results and Conclusion: The meta-prevalence of Beijing strains was 4% (CI 95% = 3–5). The prevalence was different based on types of detection techniques (spoligotyping = 4% vs. other techniques = 6%; p = 0.003) and years of study (before the year 2000 = 2% vs. after year 2000 = 4%, p = 0.004). The Beijing family was most prevalent in Iran and Pakistan. A strong relationship with drug resistance was reported in Pakistan and Iran, and an increasing trend was seen in Pakistan. Additional studies of drug-resistant TB distribution among Beijing strains in EMR countries are needed as well as a time-trend analysis of the Beijing strain infection in the region.