Automated Author Profile

Frykman, Anne

Current S-Index

6.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.5

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

49.0%

Average FAIR Score per dataset

Total Citations

4

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Whole-genome characterization of hemolytic uremic syndrome-causing Shiga toxin-producing <i>Escherichia coli</i> in Sweden

Shiga toxin-producing Escherichia coli, a foodborne bacterial pathogen, has been linked to a broad spectrum of clinical outcomes ranging from asymptomatic carriage to fatal hemolytic uremic syndrome (HUS). Here, we collected clinical data and STEC strains from HUS patients from 1994 through 2018, whole-genome sequencing was performed to molecularly characterize HUS-associated STEC strains, statistical analysis was conducted to identify bacterial genetic factors associated with severe outcomes in HUS patients. O157:H7 was the most predominant serotype (57%) among 54 HUS-associated STEC strains, followed by O121:H19 (19%) and O26:H11 (7%). Notably, some non-predominant serotypes such as O59:H17 (2%) and O109:H21 (2%) also caused HUS. All O157:H7 strains with one exception belonged to clade 8. During follow-up at a median of 4 years, 41% of the patients had renal sequelae. Fifty-nine virulence genes were found to be statistically associated with severe renal sequelae, these genes encoded type II and type III secretion system effectors, chaperones, and other factors. Notably, virulence genes associated with severe clinical outcomes were significantly more prevalent in O157:H7 strains. In contrast, genes related to mild symptoms were evenly distributed across all serotypes. The whole-genome phylogeny indicated high genomic diversity among HUS-STEC strains. No distinct cluster was found between HUS and non-HUS STEC strains. The current study showed that O157:H7 remains the main cause of STEC-associated HUS, despite the rising importance of other non-O157 serotypes. Besides, O157:H7 is associated with severe renal sequelae in the follow-up, which could be a risk factor for long-term prognosis in HUS patients.

Authors

  • Hua, Ying ;
  • Chromek, Milan ;
  • Frykman, Anne ;
  • Jernberg, Cecilia ;
  • Georgieva, Valya ;
  • Hansson, Sverker ;
  • Zhang, Ji ;
  • Marits, Ann Katrine ;
  • Wan, Chengsong ;
  • Matussek, Andreas ;
  • Bai, Xiangning
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.14531378January 2021

Whole-genome characterization of hemolytic uremic syndrome-causing Shiga toxin-producing <i>Escherichia coli</i> in Sweden

Shiga toxin-producing Escherichia coli, a foodborne bacterial pathogen, has been linked to a broad spectrum of clinical outcomes ranging from asymptomatic carriage to fatal hemolytic uremic syndrome (HUS). Here, we collected clinical data and STEC strains from HUS patients from 1994 through 2018, whole-genome sequencing was performed to molecularly characterize HUS-associated STEC strains, statistical analysis was conducted to identify bacterial genetic factors associated with severe outcomes in HUS patients. O157:H7 was the most predominant serotype (57%) among 54 HUS-associated STEC strains, followed by O121:H19 (19%) and O26:H11 (7%). Notably, some non-predominant serotypes such as O59:H17 (2%) and O109:H21 (2%) also caused HUS. All O157:H7 strains with one exception belonged to clade 8. During follow-up at a median of 4 years, 41% of the patients had renal sequelae. Fifty-nine virulence genes were found to be statistically associated with severe renal sequelae, these genes encoded type II and type III secretion system effectors, chaperones, and other factors. Notably, virulence genes associated with severe clinical outcomes were significantly more prevalent in O157:H7 strains. In contrast, genes related to mild symptoms were evenly distributed across all serotypes. The whole-genome phylogeny indicated high genomic diversity among HUS-STEC strains. No distinct cluster was found between HUS and non-HUS STEC strains. The current study showed that O157:H7 remains the main cause of STEC-associated HUS, despite the rising importance of other non-O157 serotypes. Besides, O157:H7 is associated with severe renal sequelae in the follow-up, which could be a risk factor for long-term prognosis in HUS patients.

Authors

  • Hua, Ying ;
  • Chromek, Milan ;
  • Frykman, Anne ;
  • Jernberg, Cecilia ;
  • Georgieva, Valya ;
  • Hansson, Sverker ;
  • Zhang, Ji ;
  • Marits, Ann Katrine ;
  • Wan, Chengsong ;
  • Matussek, Andreas ;
  • Bai, Xiangning
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.14531378.v1January 2021

Molecular characteristics of <i>eae</i>-positive clinical Shiga toxin-producing <i>Escherichia coli</i> in Sweden

Shiga toxin (Stx)-producing Escherichia coli (STEC) can cause a wide range of symptoms from asymptomatic carriage, mild diarrhea to bloody diarrhea (BD) and hemolytic uremic syndrome (HUS). Intimin, encoded by the eae gene, also plays a critical role in STEC pathogenesis. Herein, we investigated the prevalence and genetic diversity of eae among clinical STEC isolates from patients with diarrhea, BD, HUS as well as from asymptomatic STEC-positive individuals in Sweden with whole-genome sequencing. We found that 173 out of 239 (72.4%) of clinical STEC strains were eae positive. Six eae subtypes (ϵ1, γ1, β3, θ, ζ and ρ) were identified eae and its subtype γ1 were significantly overrepresented in O157:H7 strains isolated from BD and HUS patients. ϵ1 was associated with O121:H19 and O103:H2 strains, and β3 to O26:H11 strains. The combination of eae subtype γ1 and stx subtype (stx2 or stx1+stx2) is more likely to cause severe disease, suggesting the possibility of using eae genotypes in risk assessment of STEC infection. In summary, this study demonstrated a high prevalence of eae in clinical STEC strains and considerable genetic diversity of eae in STEC strains in Sweden from 1994 through 2018, and revealed association between eae subtypes and disease severity.

Authors

  • Hua, Ying ;
  • Bai, Xiangning ;
  • Zhang, Ji ;
  • Jernberg, Cecilia ;
  • Chromek, Milan ;
  • Hansson, Sverker ;
  • Frykman, Anne ;
  • Yang, Xi ;
  • Xiong, Yanwen ;
  • Wan, Chengsong ;
  • Matussek, Andreas
1 Citation0 Mentions85% FAIR2.4 Dataset Index
10.6084/m9.figshare.13359562January 2020

Molecular characteristics of <i>eae</i>-positive clinical Shiga toxin-producing <i>Escherichia coli</i> in Sweden

Shiga toxin (Stx)-producing Escherichia coli (STEC) can cause a wide range of symptoms from asymptomatic carriage, mild diarrhea to bloody diarrhea (BD) and hemolytic uremic syndrome (HUS). Intimin, encoded by the eae gene, also plays a critical role in STEC pathogenesis. Herein, we investigated the prevalence and genetic diversity of eae among clinical STEC isolates from patients with diarrhea, BD, HUS as well as from asymptomatic STEC-positive individuals in Sweden with whole-genome sequencing. We found that 173 out of 239 (72.4%) of clinical STEC strains were eae positive. Six eae subtypes (ϵ1, γ1, β3, θ, ζ and ρ) were identified eae and its subtype γ1 were significantly overrepresented in O157:H7 strains isolated from BD and HUS patients. ϵ1 was associated with O121:H19 and O103:H2 strains, and β3 to O26:H11 strains. The combination of eae subtype γ1 and stx subtype (stx2 or stx1+stx2) is more likely to cause severe disease, suggesting the possibility of using eae genotypes in risk assessment of STEC infection. In summary, this study demonstrated a high prevalence of eae in clinical STEC strains and considerable genetic diversity of eae in STEC strains in Sweden from 1994 through 2018, and revealed association between eae subtypes and disease severity.

Authors

  • Hua, Ying ;
  • Bai, Xiangning ;
  • Zhang, Ji ;
  • Jernberg, Cecilia ;
  • Chromek, Milan ;
  • Hansson, Sverker ;
  • Frykman, Anne ;
  • Yang, Xi ;
  • Xiong, Yanwen ;
  • Wan, Chengsong ;
  • Matussek, Andreas
1 Citation0 Mentions85% FAIR2.4 Dataset Index
10.6084/m9.figshare.13359562.v1January 2020