ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2000
The pathogenesis of Shigella flexneri infection: lessons from in vitro and in vivo studies.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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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.
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Who cites it
45 citing papers in PubMed, 105 citations in OpenAlex.
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- Mechanism, Efficacy, and Safety of Natural Antibiotics.Antibiotics (Basel, Switzerland) · 2025Review
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- Viral-bacterial co-infections screen in vitro reveals molecular processes affecting pathogen proliferation and host cell viability.Nature communications · 2024Article
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- Antibacterial and Antibiofouling Activities of Carbon Polymerized Dots/Polyurethane and CJournal of functional biomaterials · 2024Article
- Antibacterial Activity of Epigallocatechin Gallate (EGCG) againstInternational journal of environmental research and public health · 2023Article
- Nano-sized warriors: zinc chromium vanadate nanoparticles as a dual solution for eradicating waterborne enterobacteriaceae and fighting cancer.Frontiers in pharmacology · 2023Article
- Dynamics of the Gut Microbiome inmSystems · 2022Article
- Controlled Human Infection Models To Accelerate Vaccine Development.Clinical microbiology reviews · 2022Review
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- Shigella flexneri Diguanylate Cyclases Regulate Virulence.Journal of bacteriology · 2021Article
- Intestinal immune compartmentalization: implications of tissue specific determinants in health and disease.Mucosal immunology · 2021Review
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- Human Enteric Defensin 5 PromotesInfection and immunity · 2019Article
- Commensal Microbes Affect Host Humoral Immunity toInfection and immunity · 2019Article
- Genomic and molecular characterisation of Escherichia marmotae from wild rodents in Qinghai-Tibet plateau as a potential pathogen.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shigella flexneri is a Gram-negative facultatively intracellular pathogen responsible for bacillary dysentery in humans. More than one million deaths occur yearly due to infections with Shigella spp. and the victims are mostly children of the developing world. The pathogenesis of Shigella centres on the ability of this organism to invade the colonic epithelium where it induces severe mucosal inflammation. Much information that we have gained concerning the pathogenesis of Shigella has been derived from the study of in vitro models of infection. Using these techniques, a number of the molecular mechanisms by which Shigella invades epithelial cells and macrophages have been identified. In vivo models of shigellosis have been hampered since humans are the only natural hosts of Shigella. However, experimental infection of macaques as well as the murine lung and rabbit ligated ileal loop models have been important in defining some of the immune and inflammatory components of the disease. In particular, the murine lung model has shed light on the development of systemic and local immune protection against Shigella infection. It would be naive to believe that any one model of Shigella infection could adequately represent the complexity of the disease in humans, and more sophisticated in vivo models are now necessary. These models require the use of human cells and tissue, but at present such models remain in the developmental stage. Ultimately, however, it is with such studies that novel treatments and vaccine candidates for the treatment and prevention of shigellosis will be designed.
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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.