ReviewMolecular brain2024
S100 proteins: a new frontier in fibromyalgia research.
Review in Molecular brain, 2024. 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
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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.
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.
- Non-Invasive Electrochemical Biosensors for Fibromyalgia: A Path Toward Objective Physiological Monitoring and Personalized Management.Sensors (Basel, Switzerland) · 2026Review
- Gordonibacter-associated regulatory T cell dysfunction and S100A11-mediated neural impairment in Hirschsprung's disease: a microbiota-immune-neural axis.Cell & bioscience · 2026Article
- Bioinformatics-based identification of potential genes in the thalamus associated with chronic orofacial and somatic inflammatory pain.Frontiers in neuroscience · 2026Article
- Review
- Management of Fibromyalgia: Novel Nutraceutical Therapies Beyond Traditional Pharmaceuticals.Nutrients · 2025Review
- Fibromyalgia diagnosis from a multi-omics approach: a gut feeling.Frontiers in microbiology · 2025Article
- Decoding Fibromyalgia: Genetic Insights into Gut and Immune System Interactions.Journal of pain research · 2025Article
- Ultraviolet B Treatment of the Forearm Alters Supraspinal Nociceptive Processing.Pain research & management · 2025Article
- Effects of Transcutaneous Electrical Acustimulation on Patients with Fibromyalgia Syndrome: Study Protocol of a Randomized, Double-Blind, Sham-Controlled Trial.Journal of pain 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
5 authors.
Funding
Abstract
Fibromyalgia (FM) is a chronic condition that causes widespread pain, fatigue, and other symptoms that significantly affect quality of life. The underlying mechanisms of fibromyalgia involve both the immune system and the central nervous system. It has been proposed that changes in multiple ascending and descending pathways in the central nervous system may contribute to increased pain sensitivity in individuals with this condition. Recent research has identified S100 proteins as a new area of interest in fibromyalgia studies. These proteins are a group of small molecular weight proteins involved in inflammation and various functions inside and outside of cells, and they may play a critical role in the development and progression of FM. Although S100B has been the most studied in FM patients, other studies have reported that S100A7, S100A8, S100A9, and S100A12 may also be useful as potential biomarkers or for a deeper understanding of FM pathophysiology. The potential role of S100 proteins in the pathophysiology of fibromyalgia could be mediated by RAGE and TLR4, which signal through JNK, ERK, and p38 to activate AP-1 and NF-κB and induce the release of proinflammatory cytokines, thereby producing the inflammation, fatigue, and chronic pain characteristic of fibromyalgia. To gain new perspectives on targeted therapeutic approaches, it is crucial to understand how S100 proteins could impact the pathophysiology of fibromyalgia. This review examines the potential role of S100 proteins in fibromyalgia and their impact on improving our comprehension of the condition, as well as facilitating further research on this interesting topic.
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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.