Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Frontiers in Cellula...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Frontiers in Cellular and Infection Microbiology
Article . 2012 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
PubMed Central
Other literature type . 2012
Data sources: PubMed Central
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Frontiers in Cellular and Infection Microbiology
Article . 2012 . Peer-reviewed
Data sources: Frontiers
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
CONICET Digital
Article . 2012
License: CC BY NC SA
Data sources: CONICET Digital
https://dx.doi.org/10.60692/nd...
Other literature type . 2012
Data sources: Datacite
https://dx.doi.org/10.60692/gq...
Other literature type . 2012
Data sources: Datacite
versions View all 9 versions
addClaim

Subtyping of STEC by MLVA in Argentina

التصنيف الفرعي لـ STEC بواسطة MLVA في الأرجنتين
Authors: Ana V. Bustamante; A. Mariel Sanso; A Parma; Paula M. A. Lucchesi;

Subtyping of STEC by MLVA in Argentina

Abstract

Escherichia coli producteur de shigatoxines (STEC) provoque de graves maladies humaines telles que le syndrome hémolytique et urémique (Shu). L'Argentine a le taux le plus élevé au monde de ce syndrome, qui est la principale cause d'insuffisance rénale aiguë chez les enfants. E. coli O157 :H7 est la cause la plus fréquente de Shu, mais une proportion importante et croissante de cette maladie est causée par une infection due à des souches non O157. L'analyse de répétition en tandem à nombre variable à localisations multiples (MLVA) est devenue une technique établie pour sous-typer les STEC. Cette revue portera sur l'utilisation du sous-typage STEC de routine par MLVA afin de taper ce groupe d'isolats et d'obtenir un aperçu de la diversité génétique des STEC natifs. En ce qui concerne ces objectifs, nous avons modifié et adapté deux protocoles MLVA, l'un exclusif pour O157 et l'autre, un test générique d'E. coli. Un total de 202 isolats de STEC, provenant de différentes sources et correspondant à 20 sérotypes, ont été génotypés MLVA dans notre laboratoire. D'après notre expérience, MLVA constitue un outil très sensible et nous permet d'effectuer un sous-typage STEC efficace. La diversité trouvée dans de nombreux sérotypes peut être utile pour de futures études épidémiologiques de la clonalité STEC, appliquées à O157 ainsi qu'à des isolats non-O157.

La Escherichia coli productora de toxina Shiga (STEC) causa enfermedades humanas graves como el síndrome urémico hemolítico (Suh). Argentina tiene la tasa más alta del mundo de este síndrome, que es la principal causa de insuficiencia renal aguda entre los niños. E. coli O157:H7 es la causa más común de HUS, pero una proporción sustancial y creciente de esta enfermedad es causada por una infección debida a cepas no O157. El análisis de repetición en tándem de número variable de locus múltiple (MLVA) se ha convertido en una técnica establecida para subtipificar STEC. Esta revisión abordará el uso de la subtipificación rutinaria de STEC por MLVA para tipificar este grupo de aislados y obtener información sobre la diversidad genética de STEC nativos. Con respecto a estos objetivos, modificamos y adaptamos dos protocolos MLVA, uno exclusivo para O157 y el otro, un ensayo genérico de E. coli. Un total de 202 aislados de STEC, de diferentes fuentes y correspondientes a 20 serotipos, han sido genotipados con MLVA en nuestro laboratorio. En nuestra experiencia, MLVA constituye una herramienta muy sensible y nos permite realizar un subtipado STEC eficiente. La diversidad encontrada en muchos serotipos puede ser útil para futuros estudios epidemiológicos de la clonalidad de STEC, aplicada a O157, así como a aislados no O157.

Shiga toxin-producing Escherichia coli (STEC) causes serious human illness such as hemolytic uremic syndrome (HUS). Argentina has the world's highest rate of this syndrome, which is the leading cause of acute renal failure among children. E. coli O157:H7 is the most common cause of HUS, but a substantial and growing proportion of this illness is caused by infection due to non-O157 strains. Multiple-locus variable-number tandem repeat analysis (MLVA) has become an established technique to subtype STEC. This review will address the use of routine STEC subtyping by MLVA in order to type this group of isolates and to get insight into the genetic diversity of native STEC. With regard to these objectives we modified and adapted two MLVA protocols, one exclusive for O157 and the other, a generic E. coli assay. A total of 202 STEC isolates, from different sources and corresponding to 20 serotypes, have been MLVA genotyped in our laboratory. In our experience, MLVA constitutes a very sensitive tool and enables us to perform an efficient STEC subtyping. The diversity found in many serotypes may be useful for future epidemiological studies of STEC clonality, applied to O157 as well as to non-O157 isolates.

تسبب الإشريكية القولونية (STEC) المنتجة لسموم الشيغا مرضًا بشريًا خطيرًا مثل متلازمة يوريمي الانحلالية (HUS). الأرجنتين لديها أعلى معدل في العالم من هذه المتلازمة، وهو السبب الرئيسي للفشل الكلوي الحاد بين الأطفال. الإشريكية القولونية O157: H7 هي السبب الأكثر شيوعًا لـ HUS، ولكن نسبة كبيرة ومتزايدة من هذا المرض ناتجة عن العدوى بسبب سلالات غير O157. أصبح تحليل التكرار الترادفي المتغير متعدد المواقع (MLVA) تقنية راسخة للنوع الفرعي STEC. ستتناول هذه المراجعة استخدام النوع الفرعي الروتيني لـ STEC بواسطة MLVA من أجل كتابة هذه المجموعة من العزلات والحصول على نظرة ثاقبة للتنوع الجيني لـ STEC الأصلي. فيما يتعلق بهذه الأهداف، قمنا بتعديل وتكييف اثنين من بروتوكولات MLVA، أحدهما حصري لـ O157 والآخر، فحص الإشريكية القولونية العام. تم إجراء تنميط وراثي لـ MLVA في مختبرنا لما مجموعه 202 من عزلات STEC، من مصادر مختلفة ومطابقة لـ 20 نمطًا مصليًا. في تجربتنا، تشكل MLVA أداة حساسة للغاية وتمكننا من إجراء تصنيف فرعي فعال لـ STEC. قد يكون التنوع الموجود في العديد من الأنماط المصلية مفيدًا للدراسات الوبائية المستقبلية لاستنساخ STEC، المطبق على O157 وكذلك على العزلات غير O157.

Country
Argentina
Keywords

Multiple Loci VNTR Analysis, Genotype, Epidemiology, Argentina, FOS: Basic medicine, Minisatellite Repeats, FOS: Health sciences, Microbiology, Gene, Diagnosis, Treatment, and Epidemiology of Nontuberculous Mycobacterial Diseases, Global Challenge of Antibiotic Resistance in Bacteria, Computational biology, Subtyping, https://purl.org/becyt/ford/1.6, Biochemistry, Genetics and Molecular Biology, Health Sciences, Genetics, Cluster Analysis, Humans, https://purl.org/becyt/ford/1, O157:H7, Biology, Escherichia coli Infections, Shiga-Toxigenic Escherichia coli, MLVA, Multidrug-Resistant Bacteria, Genetic Variation, Life Sciences, Variable number tandem repeat, Computer science, QR1-502, Programming language, Molecular Typing, STEC, Infectious Diseases, genotyping, non-O157, FOS: Biological sciences, Hemolytic-Uremic Syndrome, Methicillin-Resistant Staphylococcus aureus Infections, Medicine, Molecular Medicine

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green
gold