ArticleClinical and vaccine immunology : CVI2015
Protective efficacy and pharmacokinetics of human/mouse chimeric anti-Stx1 and anti-Stx2 antibodies in mice.
Article in Clinical and vaccine immunology : CVI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 18 citations in OpenAlex.
- Structural Basis of Shiga Toxin Neutralization by Human Antibodies Targeting Canonical Receptor-Binding and Non-Canonical Assembly Sites.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Diagnosis and Treatment for Shiga Toxin-ProducingToxins · 2022Review
- Exotoxin-Targeted Drug Modalities as Antibiotic Alternatives.ACS infectious diseases · 2022Review
- Review
- Shiga Toxin Type 1a (Stx1a) Reduces the Toxicity of the More Potent Stx2aInfection and immunity · 2019Article
- Pharmacokinetic and Pharmacodynamic Considerations for the Use of Monoclonal Antibodies in the Treatment of Bacterial Infections.Antibodies (Basel, Switzerland) · 2018Review
- Protection against Shiga Toxins.Toxins · 2017Review
- Protection against Shiga-Toxigenic Escherichia coli by Non-Genetically Modified Organism Receptor Mimic Bacterial Ghosts.Infection and immunity · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
In the United States, Shiga toxin (Stx)-producing Escherichia coli (STEC) is the most frequent infectious cause of hemorrhagic colitis. Hemolytic uremic syndrome (HUS) is a serious sequela that may develop after STEC infection that can lead to renal failure and death in up to 10% of cases. STEC can produce one or more types of Stx, Stx1 and/or Stx2, and Stx1 and Stx2 are responsible for HUS-mediated kidney damage. We previously generated two monoclonal antibodies (MAbs) that neutralize the toxicity of Stx1 or Stx2. In this study, we evaluated the protective efficacy of human/mouse chimeric versions of those monoclonal antibodies, named cαStx1 and cαStx2. Mice given an otherwise lethal dose of Stx1 were protected from death when injected with cαStx1 either 1 h before or 1 h after toxin injection. Additionally, streptomycin-treated mice fed the mouse-lethal STEC strain B2F1 that produces the Stx2 variant Stx2d were protected when given a dose of 0.1 mg of cαStx2/kg of body weight administered up to 72 h post-oral bacterial challenge. Since many STEC strains produce both Stx1 and Stx2 and since either toxin may lead to the HUS, we also assessed the protective efficacy of the combined MAbs. We found that both antibodies were required to protect mice from the presence of both Stx1 and Stx2. Pharmacokinetic studies indicated that cαStx1 and cαStx2 had serum half-lives (t1/2) of about 50 and 145 h, respectively. We propose that cαStx1 and cαStx2, both of which have been tested for safety in humans, could be used therapeutically for prevention or treatment early in the development of HUS.
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What OpenQuestion holds
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.