ReviewArchives of toxicology2024
MicroRNAs in fluorosis pathogenesis: impact on dental, skeletal, and soft tissues.
Review in Archives of toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Asparagus Saponin Officinalisnin-II Alleviates Fluoride-Induced Neurotoxicity Via Activation of the SIRT1/BDNF Signaling Pathway.Biological trace element research · 2026Article
- The Effects of Exercise on Fluorosis: A Comprehensive Multisystem Review.Veterinary sciences · 2026Review
- Chained mediation of interleukins linking fluoride exposure to frailty: a cohort study of skeletal fluorosis patients in China.Environmental health : a global access science source · 2025Article
- A comparison of three whitening protocols for mild-to-moderate dental fluorosis in anterior teeth.American journal of translational research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Fluoride-induced toxicity (fluorosis) poses a significant health concern globally, affecting millions of individuals. Understanding the molecular mechanisms underlying fluorosis, particularly the role of microRNAs (miRNAs), is crucial for developing effective preventive and therapeutic strategies. This review explores the pivotal role of miRNAs in the pathogenesis of fluorosis, particularly examining its impact on both hard (skeletal and dental) and soft (brain, liver, kidney, heart, and reproductive organs) tissues. Skeletal fluorosis manifests as abnormal bone mineralization and structure, while dental fluorosis affects enamel formation. In vitro and in vivo studies suggest a significant involvement of miRNAs in the progression of these conditions. For skeletal fluorosis, miR-124, miR-155, and miR-200c-3p have been identified as key regulators, while miR-296-5p and miR-214-3p are implicated in dental fluorosis. Moreover, soft tissue fluorosis encompasses a spectrum of adverse effects on various organs, including the brain, liver, kidneys, heart, and reproductive system. In soft tissues, miRNAs, such as miR-124, miR-200c-3p, miR-132, and miR-34b-5p, have been linked to cellular damage and dysfunction. Notably, miRNAs exert their effects through the modulation of critical pathways involved in fluorosis pathology, including Wnt signaling, apoptosis, cell cycle, and autophagy. Understanding the regulatory roles of miRNAs in fluorosis pathogenesis holds promise for identifying biomarkers and therapeutic targets. However, further research is needed to elucidate the molecular mechanisms underlying miRNA-mediated responses to fluoride exposure. Integration of miRNA research into fluorosis studies could facilitate the development of diagnostic tools and therapeutic interventions, thus mitigating the detrimental effects of fluorosis on both hard and soft tissues.
Indexed as
Identifiers
39269498What 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.