A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

The prevalence and characteristics of Shiga toxin-producing Escherichia coli isolated by the enteric pathogens active surveillance network (Enter-Net) in the Republic of Korea, 2009-2018. | LitMetric

The prevalence and characteristics of Shiga toxin-producing Escherichia coli isolated by the enteric pathogens active surveillance network (Enter-Net) in the Republic of Korea, 2009-2018.

Microb Pathog

Division of Bacterial Diseases, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Osongsaengmyeong 2-Ro, Cheongju-si, 28159, Republic of Korea. Electronic address:

Published: September 2021

Objective: Shiga toxin-producing Escherichia coli (STEC) is a water- and food-borne pathogenic agent that causes diarrhea, hemorrhagic colitis, hemolytic uremic syndrome (HUS), and end-stage renal disease. As the annual incidence of STEC increases, disease control is also becoming important in Korea. In this study, we aimed to analyze the incidence trends and characteristics of STEC isolated from diarrheal patients over 10 years.

Methods: From 2009 to 2018, STECs were collected by the Enteric Pathogens Active Surveillance Network (Enter-Net) and analyzed according to clinical epidemiological information (month of isolation, age, and sex of patient), O serogroup, and shiga toxin type. Shiga toxin genes (stx1 and stx2) and O serogroups of isolates were determined using multiplex PCR and an agglutination method with the available O antisera, respectively.

Results: A total of 418 strains were isolated over 10 years. The isolation rate according to age group and season was highest in children ≤4 years old (38.1%) and in the summer season (June to August). Among the 418 isolates, the major serogroups were divided O157 (20.3%), O103 (13.6%), O26 (7.7%), O111 (5.5%), O91 (4.3%), O108 (2.4%), and O8 (2.2%). The most frequently isolated O157 showed a lower isolation rate compared to that isolated from other developed countries. The profiles of stx genes were distinct among serogroups. In O157 and O91, stx1+stx2 was detected more frequently than either stx1 or stx2 alone. Particularly, most of the O157 (98%) isolates harbored the stx2 gene, which is an important factor in severe diseases, including HUS. In O103, O26, O111, and O108, stx1-only was more frequently present than stx2-only or stx1+stx2.

Conclusions: As a result of analyzing domestic STECs collected through Enter-Net, it was confirmed that patients ≤4 years of age and in the summer months require attention, and that STEC with a serogroup of O157 is highly likely to cause diseases such as HUS. Therefore, the pathogen active surveillance network for characterization and provision of STEC isolates must be operated continuously.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.micpath.2021.105005DOI Listing

Publication Analysis

Top Keywords

active surveillance
12
surveillance network
12
shiga toxin-producing
8
toxin-producing escherichia
8
escherichia coli
8
enteric pathogens
8
pathogens active
8
network enter-net
8
stecs collected
8
shiga toxin
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!