ArticleAMB Express2021
Effect of different sweeteners on the oral microbiota and immune system of Sprague Dawley rats.
Article in AMB Express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effect of Gender on Serum Leptin in Type 2 Diabetes Mellitus: A System Review and Meta-Analysis.Computational and mathematical methods in medicine · 2022Pooled it
- Effect of Ultrasonic Osteotome on Therapeutic Efficacy and Safety of Spinal Surgery: A System Review and Meta-Analysis.Computational and mathematical methods in medicine · 2022Pooled it
- Cariogenic microorganisms induce oral epithelial atypia through host-microbiome-high sugar diet interactions.NPJ biofilms and microbiomes · 2026Article
- Tagatose attenuates streptococcus mutans-induced dental caries by modulating oral microbiota and inflammatory responses in mice.BMC microbiology · 2026Article
- Evaluation of oral and injectable liposome-based vaccines with synthesized lipid for Japanese encephalitis virus in Sprague-Dawley rats.Clinical and experimental vaccine research · 2025Article
- Re-evaluation of saccharin and its sodium, potassium and calcium salts (E 954) as food additives.EFSA journal. European Food Safety Authority · 2024Article
- Interactions of Non-Nutritive Artificial Sweeteners with the Microbiome in Metabolic Syndrome.Immunometabolism · 2022Article
- Efficient anaerobic consumption of D-xylose by E. coli BL21(DE3) via xylR adaptive mutation.BMC microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Sucrose, xylose, and saccharin are commonly used beverage additives and long-term consumption of these compounds inevitably affects the oral immune system and the composition of oral microbiomes. In this study, we used 24 Sprague Dawley rats divided into four groups, i.e., sucrose, saccharin, xylose, or pure water treated over an eight week period to evaluate any changes in the composition, community structure, and function of the oral microbiomes. At the end of the treatment period, we collected oral microbiome samples from each animal and subjected them to high-throughput sequencing. We also used ELISA to determine the concentration of salivary immunoglobulin in these rats to reveal the effect of sweetener on the oral immune system. Sequencing results demonstrated that Firmicutes and Proteobacteria, remained the predominant phyla, but we found that the oral microbial diversity of rats drinking sucrose water was significantly higher than that of the other groups. Our results indicate that drinking water supplemented with sweeteners may influence oral immunity as well as the composition, metabolic function, and diversity of the oral microbiota, thereby disrupting the oral microbiome.
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.