12 results on '"Brengi, Silvina P."'
Search Results
2. Shigella flexneri: subtipos genéticos circulantes en Argentina y caracterización molecular de aislamientos 'Atípicos'
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Brengi, Silvina P. and Pichel, Mariana
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Serotipificación ,Diarrea ,Variación Genética ,Shigella flexneri - Abstract
Fil: Brengi, Silvina P. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Servicio Enterobacterias; Argentina. Fil: Pichel, Mariana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Servicio Enterobacterias; Argentina. Shigella flexneri (S. flexneri) es el principal serogrupo del género causal de diarreas en el mundo y Argentina, se reconocen 13 serotipos según el esquema de serotipificación cuya última revisión realizó Brenner en 1984. Desde entonces, se reportaron en el mundo nuevos serotipos, llegando a 20, según algunos autores . Si bien la serología es la técnica tradicional de serotipificación, se han desarrollado técnicas para la serotipificación molecular, como por ejemplo las basadas en PCR múltiple. En Argentina, se encuentra constituida la Red de Diarreas y Enteropatógenos de Transmisión Alimentaria, cuyo Laboratorio de Referencia Nacional (LNR) para Shigella spp. (Servicio Enterobacterias, INEI-ANLIS “Carlos G. Malbrán”) recibe aislamientos de casos esporádicos y asociados a brote de S. flexneri en el marco de la vigilancia. Además, desde el 2004, el LNR coordina la Red PulseNet (PN) América Latina y Caribe de epidemiología molecular para la vigilancia de infecciones bacterianas transmitidas por alimentos, que utiliza protocolos estandarizados de Electroforesis en Campo Pulsado (PFGE) para la subtipificación de bacterias, contando desde 2009 con un protocolo especifico para S. flexneri. Por otra parte, ese mismo año, se comenzó el estudio de un grupo de aislamientos no tipificables emergentes en el país, denominados “Atípicos”, que ya en 2011 tenían una prevalencia similar a la del serotipo 2, mayoritario hasta el momento. En la Parte 1 de este trabajo, se estudió la diversidad genética y distribución témporo-espacial de 840 aislamientos incorporados en la Base de Datos Nacional de perfiles genéticos S. flexneri, incluyendo 7 serotipos y “Atípicos”, recuperados en casos esporádicos y de brote entre 2004-2014. La diversidad fue de 404 subtipos genéticos, en ocasiones persistentes en tiempo y lugar. Dentro de cada serotipo, se encontró mayor relación genética entre si que con otros, y a su vez la diversidad encontrada permitió discriminar subtipos para su aplicación en epidemiología molecular. Además, se pudieron estudiar y confirmar la ocurrencia de 16 brotes. En la Parte 2, se profundizó la caracterización de aislamientos de S. flexneri “Atípicos” mediante PFGE, Mapeo de Genoma Completo y serotipificación molecular por PCR. Se estableció que los 2 aislamientos “Atípicos” estudiados pertenecían a los serotipos Xv (por X variante) y 4av (por 4a variante). Además, aplicando una PCR para serotipificación molecular, se determinó en otros 77 aislamientos “Atípicos”, la existencia no solo de los serotipos Xv y 4av, sino también del serotipo Yv (por Y variante). En conclusión, en este trabajo, se obtuvo conocimiento de la diversidad genética de cepas circulantes causales de casos esporádicos y asociados a brotes de diarrea en el país. Constituyéndose una Base de Datos Nacional de subtipos genéticos de S. flexneri que servirá de base para la vigilancia y estudios de brotes por epidemiología molecular. Además, se caracterizó a un grupo de aislamientos “Atípicos” detectados desde 2009, identificándose 3 serotipos nunca antes descriptos en el país, proponiéndose la nomenclatura Xv, Yv y 4av, utilizada en la bibliografía actual, hasta tanto se llegue a un consenso mundial. Por último, se implementó como alternativa a la serología, una herramienta complementaria, versátil, rápida y accesible, para la identificación de todos los serotipos y subserotipos conocidos hasta el momento de S. flexneri.
- Published
- 2017
3. Standardization and international multicenter validation of a PulseNet pulsed-field gel electrophoresis protocol for subtyping Shigella flexneri isolates
- Author
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Pichel, Mariana, Brengi, Silvina P., Cooper, Kara L. F., Ribot, Efrain M., Al-Busaidy, Suleiman, Araya, Pamela, Fernández, Jorge, Vaz, Tania Ibelli, Kam, Kai Man, Morcos, Myriam, Nielsen, Eva M., Nadon, Celine, Pimentel, Guillermo, Pérez-Gutiérrez, Enrique, Gerner-Smidt, Peter, and Binsztein, Norma
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Estudio Multicéntrico ,Electroforesis en Gel de Campo Pulsado ,Shigella flexneri - Abstract
Shigella flexneri is one of the agents most frequently linked to diarrheal illness in developing countries and often causes outbreaks in settings with poor hygiene or sanitary conditions. Travel is one of the means by which S. flexneri can be imported into developed countries, where this pathogen is not commonly seen. A robust and discriminatory subtyping method is needed for the surveillance of S. flexneri locally and regionally, and to aid in the detection and investigation of outbreaks. The PulseNet International network utilizes standardized pulsedfield gel electrophoresis (PFGE) protocols to carry out laboratory-based surveillance of foodborne pathogens in combination with epidemiologic data. A multicenter validation was carried out in nine PulseNet laboratories located in North and South America, Europe, and Asia, and it demonstrated that a new protocol is highly robust and reproducible for subtyping of S. flexneri. This protocol, already approved for PulseNet laboratories, applies NotI and XbaI as primary and secondary restriction enzymes, respectively, under electrophoresis conditions of initial switch time of 5 s to final switch time of 35 s, at 6 volts/cm. Fil: Pichel, Mariana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina. Fil: Brengi, Silvina P. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina. Fil: Cooper, Kara L. F. Centers for Disease Control and Prevention; Estados Unidos. Fil: Ribot, Efrain M. Centers for Disease Control and Prevention; Georgia. Fil: Al-Busaidy, Suleiman. Central Public Health Laboratory; Omán. Fil: Araya, Pamela. Instituto de Salud Pública de Chile; Chile. Fil: Fernández, Jorge. Instituto de Salud Pública de Chile; Chile. Fil: Vaz, Tania Ibelli. Instituto Adolfo Lutz; Brazil. Fil: Kam, Kai Man. Public Health Laboratory Centre; Japón. Fil: Morcos, Myriam. Regional Center at the U.S. Naval Medical Research Unit #3 (NAMRU-3). Global Disease Detection (GDD); Egipto. Fil: Nielsen, Eva M. Statens Serum Institut; Dinamarca. Fil: Nadon, Celine. National Microbiology Laboratory; Canadá. Fil: Pimentel, Guillermo. Regional Center at the U.S. Naval Medical Research Unit #3 (NAMRU-3). Global Disease Detection (GDD); Egipto. Fil: Pérez-Gutiérrez, Enrique. PAHO/WHO. Health Surveillance; Panamá. Fil: Gerner-Smidt, Peter. Centers for Disease Control and Prevention; Georgia. Fil: Binsztein, Norma. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
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- 2012
4. Rapid discrimination of SalmonellaEnteritidis from other serovars with MALDI-TOF MS in Argentina
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Costa, Agustina, Catalano, Florencia, Alcain, Andrea, Panagopulo, Marcela, Riquel Moyelak, Jesús Emmanuel, Brengi, Silvina, Moroni, Mirian, and Viñas, María Rosa
- Abstract
•Salmonellais an important zoonotic pathogen causing foodborne diseases.•Traditional Salmonellatypification assays have a turn-around-time of 3–7 days.•S.Enteritidis specific biomarkers detection with MALDI-TOF MS was achieved.•This protocol could be used in clinical laboratories for S.Enteritidis detection.
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- 2024
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5. Development and validation of a PulseNet standardized protocol for sub-typing isolates of Cronobacter species
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Brengi, Silvina P, O'Brien, S B, Pichel, M, Iversen, Carol, Arduino, M, Binsztein, N, Jensen, B, Pagotto, F, Ribot, Efrain M, Stephan, Roger; https://orcid.org/0000-0003-1002-4762, Cernela, N, Cooper, K, Fanning, S, Brengi, Silvina P, O'Brien, S B, Pichel, M, Iversen, Carol, Arduino, M, Binsztein, N, Jensen, B, Pagotto, F, Ribot, Efrain M, Stephan, Roger; https://orcid.org/0000-0003-1002-4762, Cernela, N, Cooper, K, and Fanning, S
- Abstract
Cronobacter (formerly known as Enterobacter sakazakii) is a genus comprising seven species regarded as opportunistic pathogens that can be found in a wide variety of environments and foods, including powdered infant formula (PIF). Cronobacter sakazakii, the major species of this genus, has been epidemiologically linked to cases of bacteremia, meningitis in neonates, and necrotizing enterocolitis, and contaminated PIF has been identified as an important source of infection. Robust and reproducible subtyping methods are required to aid in the detection and investigation, of foodborne outbreaks. In this study, a pulsed-field gel electrophoresis (PFGE) protocol was developed and validated for subtyping Cronobacter species. It was derived from an existing modified PulseNet protocol, wherein XbaI and SpeI were the primary and secondary restriction enzymes used, generating an average of 14.7 and 20.3 bands, respectively. The PFGE method developed was both reproducible and discriminatory for subtyping Cronobacter species.
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- 2012
6. First clinical isolates of Cronobacter spp. (Enterobacter sakazakii) in Argentina: Characterization and subtyping by pulsed-field gel electrophoresis
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Asato, Valeria C., primary, Vilches, Viviana E., additional, Pineda, María G., additional, Casanueva, Enrique, additional, Cane, Alejandro, additional, Moroni, Mirian P., additional, Brengi, Silvina P., additional, and Pichel, Mariana G., additional
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- 2013
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7. Development and Validation of a PulseNet Standardized Protocol for Subtyping Isolates ofCronobacterSpecies
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Brengi, Silvina P., primary, O'Brien, Stephen B., additional, Pichel, Mariana, additional, Iversen, Carol, additional, Arduino, Matthew, additional, Binsztein, Norma, additional, Jensen, Bette, additional, Pagotto, Franco, additional, Ribot, Efrain M., additional, Stephan, Roger, additional, Cernela, Nicole, additional, Cooper, Kara, additional, and Fanning, Séamus, additional
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- 2012
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8. Standardization and International Multicenter Validation of a PulseNet Pulsed-Field Gel Electrophoresis Protocol for Subtyping Shigella flexneri Isolates
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Pichel, Mariana, primary, Brengi, Silvina P., additional, Cooper, Kara L.F., additional, Ribot, Efrain M., additional, Al-Busaidy, Suleiman, additional, Araya, Pamela, additional, Fernández, Jorge, additional, Vaz, Tania Ibelli, additional, Kam, Kai Man, additional, Morcos, Myriam, additional, Nielsen, Eva M., additional, Nadon, Celine, additional, Pimentel, Guillermo, additional, Pérez-Gutiérrez, Enrique, additional, Gerner-Smidt, Peter, additional, and Binsztein, for the Shigella flexner, Norma, additional
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- 2012
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9. Laboratory-Based Prospective Surveillance for Community Outbreaks of Shigella spp. in Argentina.
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Viñas, María R., Tuduri, Ezequiel, Galar, Alicia, Yih, Katherine, Pichel, Mariana, Stelling, John, Brengi, Silvina P., Della Gaspera, Anabella, van der Ploeg, Claudia, Bruno, Susana, Rogé, Ariel, Caffer, María I., Kulldorff, Martin, and Galas, Marcelo
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SHIGELLOSIS ,SHIGELLA ,SCAN statistic ,FOOD contamination ,WATCHFUL waiting ,WATER pollution - Abstract
Background: To implement effective control measures, timely outbreak detection is essential. Shigella is the most common cause of bacterial diarrhea in Argentina. Highly resistant clones of Shigella have emerged, and outbreaks have been recognized in closed settings and in whole communities. We hereby report our experience with an evolving, integrated, laboratory-based, near real-time surveillance system operating in six contiguous provinces of Argentina during April 2009 to March 2012. Methodology: To detect localized shigellosis outbreaks timely, we used the prospective space-time permutation scan statistic algorithm of SaTScan, embedded in WHONET software. Twenty three laboratories sent updated Shigella data on a weekly basis to the National Reference Laboratory. Cluster detection analysis was performed at several taxonomic levels: for all Shigella spp., for serotypes within species and for antimicrobial resistance phenotypes within species. Shigella isolates associated with statistically significant signals (clusters in time/space with recurrence interval ≥365 days) were subtyped by pulsed field gel electrophoresis (PFGE) using PulseNet protocols. Principal Findings: In three years of active surveillance, our system detected 32 statistically significant events, 26 of them identified before hospital staff was aware of any unexpected increase in the number of Shigella isolates. Twenty-six signals were investigated by PFGE, which confirmed a close relationship among the isolates for 22 events (84.6%). Seven events were investigated epidemiologically, which revealed links among the patients. Seventeen events were found at the resistance profile level. The system detected events of public health importance: infrequent resistance profiles, long-lasting and/or re-emergent clusters and events important for their duration or size, which were reported to local public health authorities. Conclusions/Significance: The WHONET-SaTScan system may serve as a model for surveillance and can be applied to other pathogens, implemented by other networks, and scaled up to national and international levels for early detection and control of outbreaks. Author Summary: Shigellosis causes dysentery and kills an estimated 1.1 million people per year worldwide, 60% of them children under the age of 5. The infectious agent is Shigella spp, transmitted from person to person by fecal-oral route or via ingestion of contaminated food or water. Having a system for early detection of outbreaks would be very useful for implementing control measures that help reduce the number of affected patients, economic losses and prevent the dissemination of antimicrobial resistance. We present the application of a space-time permutation scan statistic implemented within the free SaTScan software for laboratory based surveillance of Shigella cases in six provinces from Argentina. SaTScan was applied on the data loaded into WHONET databases (an electronic laboratory data system used world-wide) in the six provinces from April 2009 to March 2012. The project allowed the identification of 32 events, including several of particular public health importance for their duration or number of affected patients. It also strengthened the relationship between the laboratory and epidemiology staff. In conclusion, the combination of WHONET laboratory data and SaTScan analysis can detect important community outbreaks of antimicrobial-resistant shigellosis in a timely manner, to make a difference to public health. [ABSTRACT FROM AUTHOR]
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- 2013
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10. Laboratory-Based Prospective Surveillance for Community Outbreaks of Shigella spp. in Argentina.
- Author
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Viñas, María R., Tuduri, Ezequiel, Galar, Alicia, Yih, Katherine, Pichel, Mariana, Stelling, John, Brengi, Silvina P., Della Gaspera, Anabella, van der Ploeg, Claudia, Bruno, Susana, Rogé, Ariel, Caffer, María I., Kulldorff, Martin, and Galas, Marcelo
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SHIGELLOSIS ,DISEASE outbreaks ,PUBLIC health surveillance ,PERMUTATIONS - Abstract
Background: To implement effective control measures, timely outbreak detection is essential. Shigella is the most common cause of bacterial diarrhea in Argentina. Highly resistant clones of Shigella have emerged, and outbreaks have been recognized in closed settings and in whole communities. We hereby report our experience with an evolving, integrated, laboratory-based, near real-time surveillance system operating in six contiguous provinces of Argentina during April 2009 to March 2012. Methodology: To detect localized shigellosis outbreaks timely, we used the prospective space-time permutation scan statistic algorithm of SaTScan, embedded in WHONET software. Twenty three laboratories sent updated Shigella data on a weekly basis to the National Reference Laboratory. Cluster detection analysis was performed at several taxonomic levels: for all Shigella spp., for serotypes within species and for antimicrobial resistance phenotypes within species. Shigella isolates associated with statistically significant signals (clusters in time/space with recurrence interval ≥365 days) were subtyped by pulsed field gel electrophoresis (PFGE) using PulseNet protocols. Principal Findings: In three years of active surveillance, our system detected 32 statistically significant events, 26 of them identified before hospital staff was aware of any unexpected increase in the number of Shigella isolates. Twenty-six signals were investigated by PFGE, which confirmed a close relationship among the isolates for 22 events (84.6%). Seven events were investigated epidemiologically, which revealed links among the patients. Seventeen events were found at the resistance profile level. The system detected events of public health importance: infrequent resistance profiles, long-lasting and/or re-emergent clusters and events important for their duration or size, which were reported to local public health authorities. Conclusions/Significance: The WHONET-SaTScan system may serve as a model for surveillance and can be applied to other pathogens, implemented by other networks, and scaled up to national and international levels for early detection and control of outbreaks. [ABSTRACT FROM AUTHOR]
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- 2013
- Full Text
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11. Outbreak of a Cluster with Epidemic Behavior Due to Serratia marcescensafter Colistin Administration in a Hospital Setting
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Merkier, Andrea Karina, Rodríguez, María Cecilia, Togneri, Ana, Brengi, Silvina, Osuna, Carolina, Pichel, Mariana, Cassini, Marcelo H., and Centrón, Daniela
- Abstract
ABSTRACTSerratia marcescenscauses health care-associated infections with important morbidity and mortality. Particularly, outbreaks produced by multidrug-resistant isolates of this species, which is already naturally resistant to several antibiotics, including colistin, are usually described with high rates of fatal outcomes throughout the world. Thus, it is important to survey factors associated with increasing frequency and/or emergence of multidrug-resistant S. marcescensnosocomial infections. We report the investigation and control of an outbreak with 40% mortality due to multidrug-resistant S. marcescensinfections that happened from November 2007 to April 2008 after treatment with colistin for Acinetobacter baumanniimeningitis was started at hospital H1 in 2005. Since that year, the epidemiological pattern of frequently recovered species has changed, with an increase of S. marcescensand Proteus mirabilisinfections in 2006 in concordance with a significant decrease of the numbers of P. aeruginosaand A. baumanniiisolates. A single pulsed-field gel electrophoresis (PFGE) cluster of S. marcescensisolates was identified during the outbreak. When this cluster was compared with S. marcescensstrains (n= 21) from 10 other hospitals (1997 to 2010), it was also identified in both sporadic and outbreak isolates circulating in 4 hospitals in Argentina. In132::ISCR1::blaCTX-M-2was associated with the multidrug-resistant cluster with epidemic behavior when isolated from outbreaks. Standard infection control interventions interrupted transmission of this cluster even when treatment with colistin continued in several wards of hospital H1 until now. Optimizing use of colistin should be achieved simultaneously with improved infection control to prevent the emergence of species naturally resistant to colistin, such as S. marcescensand P. mirabilis.
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- 2013
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12. PCR-Based Method for Shigella flexneriSerotyping: International Multicenter Validation
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Brengi, Silvina P., Sun, Qiangzheng, Bolaños, Hilda, Duarte, Francisco, Jenkins, Claire, Pichel, Mariana, Shahnaij, Mohammad, Sowers, Evangeline G., Strockbine, Nancy, Talukder, Kaisar A., Derado, Gordana, Viñas, María Rosa, Kam, Kai Man, and Xu, Jianguo
- Abstract
Shigellaspp. are a leading cause of human diarrheal disease worldwide, with Shigella flexneribeing the most frequently isolated species in developing countries.
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- 2019
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