ArticleBMC research notes2019
Characterization of human norovirus binding to gut-associated bacterial ligands.
Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Article
- Article
- Determining the Importance of Carbohydrate-Based Structures in Murine Norovirus Binding to Commensal Bacteria.Viruses · 2025Article
- Developing a mutant strain of Pseudomonas composti ODT-54 for enhanced production of Psl extracellular polysaccharide.Archives of microbiology · 2025Article
- Virus Association with Bacteria and Bacterial Cell Components Enhance Virus Infectivity.Food and environmental virology · 2025Article
- Article
- Asymptomatic Enteric Virus Infections and Association with the Gut Microbiome in Rural Residents of Northern Laos.The American journal of tropical medicine and hygiene · 2024Article
- Microbiota, Viral Infection, and the Relationship to Human Diseases: An Area of Increasing Interest in the SARS-CoV-2 Pandemic.Infectious microbes & diseases · 2021Article
- Interaction of Intestinal Bacteria with Human Rotavirus during Infection in Children.International journal of molecular sciences · 2021Article
- The effect of proteolytic enzymes and pH on GII.4 norovirus, during both interactions and non-interaction with Histo-Blood Group Antigens.Scientific reports · 2020Article
- Article
- A Survey of Analytical Techniques for Noroviruses.Foods (Basel, Switzerland) · 2020Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
objectiveResearch suggests human norovirus binding to histo-blood group antigen (HBGA)-like molecules on enteric bacteria may enhance viral pathogenesis; however, the properties of these bacterial ligands are not well known. Previous work identified, but did not characterize, seven norovirus-binding bacteria. To further examine this bacteria-virus binding interaction, enteric bacteria were analyzed via Western blot with anti-HBGA antibodies and lectins targeting HBGA-associated sugar components. Virus overlay assays using capsids from six different human norovirus strains further identified responsible ligands and strain dependent binding properties.
resultsEach bacterial species possessed varying degrees of HBGA-like activity, and lectin binding further elucidated potential sugar residues involved (N-acetyl-galactosamine, α-D-galactose or α-L-fucose). Both GI and GII norovirus capsids bound specific bacterial ligand sizes, and generally corresponded to anti-HBGA Western blot patterns. A 35-kDa band reacted with all HBGA antibodies, bound all six of the noroviruses tested, and had a high affinity for the lectins. Collectively, this work characterizes the varying carbohydrate residues potentially responsible for norovirus-bacteria interactions and provides a basis for future ligand identification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.