ReviewThe Journal of infectious diseases2021
Interkingdom Communication and Regulation of Mucosal Immunity by the Microbiome.
Review in The Journal of infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Gut microbiota as a therapeutic target of Chinese herbal medicine in allergic rhinitis: the gut-nasal axis and immunity.Frontiers in physiology · 2026Review
- The impact of fluconazole use on the fungal and bacterial microbiomes in recurrent Vulvovaginal Candidiasis (RVVC): a pilot study of vaginal and gastrointestinal site interplay.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Article
- Review
- Controlled interkingdom cell-cell communication betweenFrontiers in microbiology · 2024Article
- The Relationship Between the Microbiome and Antimicrobial Resistance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Reactive Oxygen Species in Modulating Intestinal Stem Cell Dynamics and Function.Stem cell reviews and reports · 2022Review
- Unraveling the role of the microbiome in chronic rhinosinusitis.The Journal of allergy and clinical immunology · 2022Review
- Hacking Commensal Bacteria to Consolidate the Adaptive Mucosal Immune Response in the Gut-Lung Axis: Future Possibilities for SARS-CoV-2 Protection.Biotech (Basel (Switzerland)) · 2022Review
- The State of Microbiome Science at the Intersection of Infectious Diseases and Antimicrobial Resistance.The Journal of infectious diseases · 2021Article
- Impact of Dietary Flavanols on Microbiota, Immunity and Inflammation in Metabolic Diseases.Nutrients · 2021Review
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.
Funding
Abstract
Intercellular communication and environmental sensing are most often mediated through ligand-receptor binding and signaling. This is true for both host cells and microbial cells. The ligands can be proteins (cytokines, growth factors, and peptides), modified lipids, nucleic acid derivatives and small molecules generated from metabolic pathways. These latter nonprotein metabolites play a much greater role in the overall function of mucosal immunity than previously recognized, and the list of potential immunomodulatory molecules derived from the microbiome is growing. The most well-studied microbial signals are the nonmetabolite microbe-associated molecular pattern molecules, such as lipopolysaccharide and teichoic acid, that bind to host pattern recognition receptors. Here, we will highlight the immunomodulatory activities of other microbiome-derived molecules, such as short-chain fatty acids, bile acids, uric acid, prostaglandins, histamine, catecholamines, aryl hydrocarbon receptor ligands, and 12,13-diHOME.
Indexed as
Identifiers
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.