ReviewEukaryotic cell2013
Murine models of Candida gastrointestinal colonization and dissemination.
Review in Eukaryotic cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.
What it found
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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.
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.
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Who cites it
81 citing papers in PubMed.
- A host-adapted commensal fungus from pet store mice drives type 2 immunity and cross-kingdom protection.iScience · 2026Article
- From Oral Candidiasis to Candidemia: A Review of Superficial to Invasive Progression.MicrobiologyOpen · 2026Review
- A host-adapted commensal fungus from pet store mice drives type 2 immunity and cross-kingdom protection.bioRxiv : the preprint server for biology · 2026Article
- Stress-driven emergence of heritable non-genetic drug resistance.Research square · 2025Article
- Commensalism and pathogenesis of Candida albicans at the mucosal interface.Nature reviews. Microbiology · 2025Review
- Effects of Short-Chain Fatty Acid Combinations Relevant to the Healthy and Dysbiotic Gut upon Candida albicans.Current microbiology · 2025Article
- A CARD9 deficiency mouse model recapitulates human chronic CNS candidiasis identifying defective monocytic cell responses in immunopathogenesis.JCI insight · 2025Article
- Impact of Clove Essential Oil on the Intestinal Flora in Mice Infected withMolecules (Basel, Switzerland) · 2025Article
- The Gut Mycobiome for Precision Medicine.Journal of fungi (Basel, Switzerland) · 2025Review
- Ire1 inhibitors attenuateFrontiers in microbiology · 2025Article
- Characterization of intestinal fungal community diversity in people living with HIV/AIDS (PLWHA).AIDS research and therapy · 2024Article
- A mouse model of immunosuppression facilitates oralFrontiers in cellular and infection microbiology · 2024Article
- Candida-bacterial cross-kingdom interactions.Trends in microbiology · 2023Review
- Inflammatory Bowel Disease Increases the Severity of Myocardial Infarction after Acute Ischemia-Reperfusion Injury in Mice.Biomedicines · 2023Article
- An experimental porcine model of invasive candidiasis.Intensive care medicine experimental · 2023Article
- Article
- The Role of Host and Fungal Factors in the Commensal-to-Pathogen Transition ofCurrent clinical microbiology reports · 2023Review
- Article
- What IsMicroorganisms · 2022Review
- Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ninety-five percent of infectious agents enter through exposed mucosal surfaces, such as the respiratory and gastrointestinal (GI) tracts. The human GI tract is colonized with trillions of commensal microbes, including numerous Candida spp. Some commensal microbes in the GI tract can cause serious human infections under specific circumstances, typically involving changes in the gut environment and/or host immune conditions. Therefore, utilizing animal models of fungal GI colonization and dissemination can lead to significant insights into the complex pathophysiology of transformation from a commensal organism to a pathogen and host-pathogen interactions. This paper will review the methodologic approaches used for modeling GI colonization versus dissemination, the insights learned from these models, and finally, possible future directions using these animal modeling systems.
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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.