2019
DOI: 10.1371/journal.pntd.0007297
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Genetic changes associated with the temporal shift in invasive non-typhoidal Salmonella serovars in Bamako Mali

Abstract: Background Invasive non-typhoidal Salmonella (iNTS) serovars S . Typhimurium and S . Enteritidis are major etiologic agents of invasive bacterial disease among infants and young children in sub-Saharan Africa, including in Mali. Early studies of iNTS serovars in several countries indicated that S . Typhimurium was more prevalent than S . Enteritidis, including in M… Show more

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Cited by 5 publications
(6 citation statements)
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“…All Enteritidis isolates recovered during this period were isolated within the Basse area with similar virulence and antimicrobial resistance patterns. A study in Mali highlighted that, in contrast to Salmonella Typhimurium, iNTS disease caused by Salmonella Enteritidis started to increase from 2008 with the highest peak seen in 2010 and 2011 [ 16 ]. The finding in Mali corresponds with our observed increase in Enteritidis in 2010 and 2011, suggesting the potential combination of a regional increase in Enteritidis exacerbated by the impact of the flood in our setting.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…All Enteritidis isolates recovered during this period were isolated within the Basse area with similar virulence and antimicrobial resistance patterns. A study in Mali highlighted that, in contrast to Salmonella Typhimurium, iNTS disease caused by Salmonella Enteritidis started to increase from 2008 with the highest peak seen in 2010 and 2011 [ 16 ]. The finding in Mali corresponds with our observed increase in Enteritidis in 2010 and 2011, suggesting the potential combination of a regional increase in Enteritidis exacerbated by the impact of the flood in our setting.…”
Section: Discussionmentioning
confidence: 99%
“…Surveillance in the same location from 2000 to 2004 documented Enteritidis and Typhimurium as the dominant iNTS serovars [ 14 ]. Although shifts in Salmonella serovar prevalence and dominance have been documented in The Gambia and elsewhere in the world [ 14 15 , 16 ], the genomic characteristics and epidemiological factors responsible for this shift are unclear. We used whole genome sequencing and bioinformatic analyses to investigate changes in pathogen characteristics between 2008 and 2016.…”
Section: Introductionmentioning
confidence: 99%
“…The use of organoids derived from livestock animals like chickens (STm host) and non-human primate or pig could be generated to draw an overview of STm interaction with IECs of various species concerned by STm infection. We also propose that it will be an interesting tool to better understand serovar evolution and switch in population like those observed in Africa ( Feasey et al, 2012 ; Bornstein et al, 2019 ). The organoid technology becoming more sophisticated, the method for quantitative gene expression analysis (RNA-seq) has rapidly been adapted to organoid models and more recently at the single cell level.…”
Section: Discussionmentioning
confidence: 97%
“…Outbreaks of Salmonella Enteritidis as a result of consumption of contaminated food or animal products have been reported elsewhere 44 . Although this theory could be true, a study in Mali highlighted that, in contrast to Salmonella Typhimurium, iNTS disease caused by Salmonella Enteritidis started to increase from 2008 with the highest peak seen in 2010 and 2011 16 . The finding in Mali corresponds with our observed increase in Enteritidis in 2010 and 2011 suggesting the potential combination of a regional increase in Enteritidis exacerbated by the impact of the flood in our setting.…”
Section: Discussionmentioning
confidence: 99%
“…Surveillance in the same location from 2000 to 2004 documented Enteritidis and Typhimurium as the dominant iNTS serovars 14 . Although shifts in Salmonella serovar prevalence and dominance have been documented in The Gambia and elsewhere in the world 14,15,16 , the genomic characteristics and epidemiological factors responsible for this shift are unclear. We used whole genome sequencing and bioinformatic analyses to investigate changes in pathogen characteristics between 2008 and 2016.…”
Section: Introductionmentioning
confidence: 99%