Clinical and public health implications of increasing notifications of LEE-negative Shiga toxin-producing in England, 2014-2022.

J Med Microbiol

National Infection Service, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5AT, UK.

Published: February 2024

Shiga toxin-producing (STEC) belong to a diverse group of gastrointestinal pathogens. The pathogenic potential of STEC is enhanced by the presence of the pathogenicity island called the Locus of Enterocyte Effacement (LEE), including the intimin encoding gene . STEC serotypes O128:H2 (Clonal Complex [CC]25), O91:H14 (CC33), and O146:H21 (CC442) are consistently in the top five STEC serotypes isolated from patients reporting gastrointestinal symptoms in England. However, they are LEE-negative and perceived to be a low risk to public health, and we know little about their microbiology and epidemiology. We analysed clinical outcomes and genome sequencing data linked to patients infected with LEE-negative STEC belonging to CC25 (O128:H2, O21:H2), CC33 (O91:H14) and, and CC442 (O146:H21, O174:H21) in England to assess the risk to public health. There was an almost ten-fold increase between 2014 and 2022 in the detection of all STEC belonging to CC25, CC33 and CC442 (2014 =38, 2022 =336), and a total of 1417 cases. There was a higher proportion of female cases (55-70 %) and more adults than children, with patients aged between 20-40 and >70 most at risk across the different serotypes. Symptoms were consistent across the three dominant serotypes O91:H14 (CC33), O146:H21 (CC442) and O128:H2 (CC25) (diarrhoea >75 %; bloody diarrhoea 25-32 %; abdominal pain 64-72 %; nausea 37-45 %; vomiting 10-24 %; and fever 27-30 %). Phylogenetic analyses revealed multiple events of acquisition and loss of different stx-encoding prophage. Additional putative virulence genes were identified including , and . Continued monitoring and surveillance of LEE-negative STEC infections is essential due to the increasing burden of infectious intestinal disease, and the risk that highly pathogenic strains may emerge following acquisition of the Shiga toxin subtypes associated with the most severe clinical outcomes.

Download full-text PDF

Source
http://dx.doi.org/10.1099/jmm.0.001790DOI Listing

Publication Analysis

Top Keywords

public health
12
shiga toxin-producing
8
stec serotypes
8
o91h14 cc33
8
cc33 o146h21
8
o146h21 cc442
8
risk public
8
clinical outcomes
8
lee-negative stec
8
stec belonging
8

Similar Publications

Frontline Clinic Administrator Perspectives on Extreme Weather Events, Clinic Operations, and Climate Resilience.

J Ambul Care Manage

January 2025

Author Affiliations: Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Drs Wiskel and Dresser); Harvard T.H. Chan School of Public Health Center for Climate, Health, and the Global Environment, Boston, Massachusetts (Drs Wiskel and Dresser); Americares, Stamford, Connecticut (Mr Matthews-Trigg, Ms Stevens, and Dr Miles); and Harvard Medical School, Boston, Massachusetts (Drs Wiskel, Dresser, and Bernstein).

Climate-sensitive extreme weather events are increasingly impacting frontline clinic operations. We conducted a national, cross-sectional survey of 284 self-identified administrators and other staff at frontline clinics determining their attitudes toward climate change and the impacts, resilience, and preparedness of clinics for extreme weather events. Most respondents (80.

View Article and Find Full Text PDF

Community health workers (CHWs) play a significant role in supporting health services delivery in communities with few trained health care providers. There has been limited research on ways to optimize the role of CHWs in HIV prevention service delivery. This study explored CHWs' experiences with offering HIV prevention services [HIV testing and HIV pre- and post-exposure prophylaxis (PrEP and PEP)] during three pilot studies in rural communities in Kenya and Uganda, which aimed to increase biomedical HIV prevention coverage via a structured patient-centered HIV prevention delivery model.

View Article and Find Full Text PDF

Causal Inference With Observational Data and Unobserved Confounding Variables.

Ecol Lett

January 2025

Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, USA.

Experiments have long been the gold standard for causal inference in Ecology. As Ecology tackles progressively larger problems, however, we are moving beyond the scales at which randomised controlled experiments are feasible. To answer causal questions at scale, we need to also use observational data -something Ecologists tend to view with great scepticism.

View Article and Find Full Text PDF

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!